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FCC considers allowing more political robocalls before midterms, including those created with AI
The Federal Communications Commission is considering a request to loosen rules on political robocalls, including those with AI-generated voices. Current federal law bans most robocalls to cellphones without prior consent.
FCC considers allowing more political robocalls before midterms, including those created with AI
The Federal Communications Commission is considering a request to loosen rules on political robocalls, including those with AI-generated voices.
AI-Generated Games Platform Already Has 10 Million Monthly Users
Astrocade is filled with AI slop, but millions of people don't seem to care
Conservative anti-tax group seeks FCC approval for AI robocalls ahead of US midterms
A Democratic member of the Federal Communications Commission urged the agency on Wednesday not to approve a petition to allow political AI-generated robocalls from conservative political group Club for Growth.
US Agency Considers Allowing New AI Political Robocalls Before Election
WASHINGTON, Oct 7 (Reuters) - A Democratic member of the Federal Communications Commission urged the agency on Wednesday not to approve a petition to allow political AI-generated robocalls from conservative political group Club for Growth. The group, which is spending millions of dollars ...
FCC could allow more political robocalls before midterms
The Federal Communications Commission is considering a request to loosen rules on political robocalls, including those with AI-generated voices.
FCC considers allowing more political robocalls before midterms, including those created with AI
WASHINGTON (AP) — The Federal Communications Commission is considering a request by a conservative group to loosen rules on political robocalls, including those with artificial intelligence-generated ...
FCC considers allowing more political robocalls before midterms, including those created with AI
The Federal Communications Commission is considering a request to loosen rules on political robocalls, including those with AI-generated voices.
FCC Considers Allowing More Political Robocalls Before Midterms, Including Those Created With AI
WASHINGTON (AP) — The Federal Communications Commission is considering a request by a conservative group to loosen rules on political robocalls, including those with artificial intelligence-generated voices, before November’s midterm elections. Federal law currently bans most robocalls to cellphones ...
Google's new SynthID website can identify AI-generated media
Google on Tuesday launched a new site that lets anyone verify whether a piece of media, be it an image, a video or an audio clip, is generated using AI.
Art and science blend at Murie Ranch Art Festival
During his years as a wildlife biologist in Canada, Alaska and Wyoming, Olaus Murie generated volumes of notes and sketches of the creatures he encountered and the specimens he collected
Earth's magnetic field: An enigma that could affect how long we live
Generated by a vast dynamo-like churn of molten iron in the Earth’s core, the magnetic field that surrounds the planet protects its surface and everything on it from space radiation as well as helping...
Compass’ PHS, Jancula teams double up on SaMo-Palisades connection
Two Compass teams said they’ve created a “supergroup” with the aim of seizing on business moving between Santa Monica and the Pacific Palisades. PHS, which counts nine people, is led by Hathorn, along with Charles Pence and Loraine Silver. The group generated about $218 million in sales over the past year, with a focus on North Santa Monica, according to Compass. The group will be working with Ryan Jancula’s namesake team, which is made up of 13 people that had sales volume of $300 million in the past 12 months, Compass said. Jancula, who is from the Palisades, and his […]
Brazil: Lessons from a Disaster
By Antonio Martins (Outras Palavras) Defeats become deeper and more prolonged when we misunderstand what caused them, avoid correcting course, and embrace “solutions” that only compound our mistakes. Lula’s government and the Brazilian left suffered a disaster in Sunday’s election. Contrary to every poll, the president finished the first round 2.2 million votes behind Flávio Bolsonaro—and, more significantly, 3.4 million votes below his total four years ago, when the machinery of the state was working against him and in favor of his opponent. His vote share declined in 98 percent of Brazil’s municipalities. The PL, the main party of the far right, elected 121 deputies and 28 senators, becoming the largest caucus in both houses of Congress. The parties aligned with the Centrão—Brazil’s bloc of transactional center-right parties—were somewhat diminished, but will still hold roughly 250 seats in the Chamber of Deputies and 35 in the Senate. That will make it easier to assemble the majorities needed to amend the Constitution or impeach Supreme Federal Court justices. If elected, Flávio Bolsonaro could appoint four members of the Court, substantially altering its internal balance of power. What produced these results? How can the far right be prevented from consolidating them into a prolonged political hegemony? And what is the essential change of direction the left now needs? Explaining the Disaster Across the commercial media and the exuberant chaos of digital platforms, interpretations are multiplying. Some focus on specific episodes: Lula’s absence from the Globo debate, his very close relationship with Alexandre de Moraes, or his emphasis on issues supposedly remote from most people’s everyday concerns, such as rare earth minerals. Among the more systemic interpretations, three seem especially questionable. One argues that the principal defeat was not the left’s, since its congressional representation declined only slightly. The decisive movement captured at the ballot box, according to this view, was a shift within the right itself—from the more moderate and transactional forces of the Centrão toward the more ideological and radicalized forces of the PL and Novo. A second interpretation holds that the nature of electoral and political processes has changed. The material interests and aspirations of society, it argues, no longer play the central role they once did; they have given way to forms of subjective self-identification that the left has yet to understand. And a third concludes that, because of these two developments, we should expect a political winter: a prolonged period in which the far right and the broader right dominate Brazilian political life. There are important elements in all three interpretations. The problem lies in what they deny or leave out: Lula’s third government was a small-bore government. It offered the majorities that elected it neither a clearly better life nor reasons to believe again in politics and its power to transform society. These failures flowed from two fatal accommodations, which I will examine below. As a result, the government suffered a slow but steady erosion of support. And, as has happened in so many Western countries, it gave the far right the opportunity to present itself as anti-system and to benefit from popular frustration and distress. The interpretation that emphasizes the migration of votes from the center-right and traditional right toward the far right has been advanced, among others, by the courageous journalist Leonardo Sakamoto. In his UOL column on Monday, October 5, he highlights the miserable behavior of the traditional conservative parties. Over the past four years, they repeatedly joined forces with the “neo”-fascists, helping to “normalize” them—a criticism that could equally be directed at almost the entire corporate media. Believing they could use the far right as a stepping stone, they instead ended up partly devoured by it. This was especially true in the Senate, where the PL’s gain of 13 senators and Novo’s gain of two came at the expense of the PSD, which lost nine; the MDB, which lost two; the PSDB, which lost two; and the PP, which lost one. Sakamoto’s observation is accurate and necessary, but it leaves uncomfortable questions unanswered. Why did the erosion of the Centrão benefit the far right rather than, for example, producing growth for the left—as has happened so many times before, both in Brazil and elsewhere? The answer is not difficult. Throughout its four years in office, Lula’s third government was almost invariably associated with the Centrão. Here lies its first accommodation: accepting the limits imposed by conservative institutions; avoiding, as much as possible, any attempt to strain those limits through popular pressure; and believing only in the modest changes that could be squeezed through openings in Congress. The failure of the campaign to end the six-day workweek is emblematic. Lula could have electrified the presidential race by pairing it with a popular campaign for passage of the measure. Instead, he chose to place his hopes in the hands of Senate president Rodrigo Alcolumbre. He generated no mass mobilization, did not force his opponents onto an uncomfortable defensive, and won no victory. In September 2025, the government squandered the greatest of its many opportunities to shake up conservative power in Congress. Popular opposition to the so-called Shielding Amendment—which, if approved, would have restricted criminal proceedings against members of Congress—brought crowds into the streets, mobilized primarily by artists and social movements. This opened the possibility for a broader political education: a campaign that could begin exposing the limits and dysfunctions of Brazil’s political system while putting Bolsonaro’s movement on the defensive for its predictable support of political privilege. The amendment was defeated. But the executive branch then backed away from the fight. It remained associated with an institutional world widely seen as corrupt, elitist, and indifferent to ordinary people’s struggles. In doing so, it forfeited its credibility as a vehicle for the protest vote. On Sunday, it reaped the bitter fruits. Are We Doomed? Taking a different approach from Sakamoto, the philosopher Moysés Pinto Neto and other writers have drawn attention, in their first analyses of October 4, to the fragmentation of the public sphere produced by Big Tech platforms. Through their algorithms, these platforms present each person with a different view of social reality. As a consequence, it becomes much harder to identify common material problems and demands—for example, the fight for labor rights or for a properly funded public health system. Voters no longer embrace such demands, these authors argue, because they no longer see themselves as part of a collective. Instead, they tend to value the identities assigned to them by neoliberal subjectivity—the role of the entrepreneur, for example. On this interpretation, the left’s possible error lies in clinging to outdated illusions. Moysés’s warning is highly relevant and resonates with arguments such as Naomi Klein and Astra Taylor’s “Apocalyptic Fascism and the Billionaires’ Bet.” Unlike a century ago, the far right no longer promises a radiant future. It concentrates instead on resentment—especially that of young men. “They belong to a generation that fears it may never own a home, but compensates with the pleasure it gets from constantly provoking progressives online. Convinced their future has been stolen, they share memes romanticizing historical authoritarian regimes,” the authors write. But Moysés seems to confuse this danger with inevitability. He fails to see that the left’s answer cannot be adaptation. On the contrary, it must strengthen the possibility of politics as collective action. Nor does he recognize that precisely such a reversal is already becoming possible in some of the most promising mobilizations of the twenty-first century: the election, at the end of 2025, of the young Muslim Zohran Mamdani as mayor of New York, on a platform centered on the intensely material fight for an affordable city; the Left Party’s victory in Berlin two weeks ago, built around the demand to expropriate private real-estate corporations; and the very recent wave of demonstrations in Spain—including an occupation of Madrid’s Puerta del Sol—in which tens of thousands of young people mobilized by the Tenants’ Union have demanded limits on rents. By putting itself in the straitjacket of the “fiscal framework” in the first months of 2022, Lula’s third government adopted the second fatal accommodation of its term. Faced with conservative institutions and a country devastated by four years of Bolsonaro, increased public investment was the government’s remaining weapon for offering a more dignified life to the majority and forging an anti-conservative pact with them. The same state that disburses 1 trillion reais a year to enrich a small class of rentiers could instead spend money to extend the Family Health Strategy to every Brazilian, at a cost of 30 billion reais; provide full-day public schooling and childcare to all adolescents and children—and, especially, relief to their mothers; achieve universal sanitation while cleaning up polluted urban rivers; multiply metro systems; begin transforming the urban peripheries; and undertake many other urgently needed projects. In April 2023, an article in Outras Palavras warned that the fiscal framework could “shrink the Lula government and preserve the forces that condemn the country to inequality and regression.” A year later, another article showed that restraints on public spending were strangling policies vital to ordinary people and undermining the president’s popularity. In November 2024 came a reality check, in the form of the government’s humiliating defeat in the municipal elections. Even then, the fiscal lock was neither removed nor loosened. On the contrary: throughout the government’s four years, fiscal restraint remained central to its political narrative. The administration proudly proclaimed that it had “put the state’s accounts in order,” without grasping either how misleading that phrase was—given the payment of 1 trillion reais in interest—or how badly the message was hurting it politically. Lula finally woke up in September 2026. The increase in Bolsa Família benefits, after four years of being frozen; the announcement that anti-obesity drugs would be offered through Brazil’s public health system; and the ban on online betting showed that the state has the power to act decisively on behalf of the majority when those in government are willing to confront obstacles. The huge marches that closed the campaign in Fortaleza, Salvador, Rio de Janeiro, and São Paulo on the eve of October 4 showed how such initiatives can mobilize activists and the broader public. But it was too late—and too little to change the outcome of the first round. History has not ended The possibility of a turnaround in the three weeks leading up to November 25 cannot be ruled out. It will not be simple or easy. Lula must not only make up a deficit of 2.2 million votes; he must also offset the movement of voters who backed other right-wing candidates in the first round, most of whom are likely to move toward Flávio Bolsonaro. Pulling that off will require a broad, grassroots effort to win over voters, potentially reinforced by new initiatives from Lula. The coming hours and days will be decisive. If Bolsonaro’s movement also wins the presidency, the result will create a high-risk situation for Brazilian sovereignty and democracy. The enormous challenges posed by such an outcome would require the left to reexamine, in depth and with a genuine willingness to engage in self-criticism, its political projects—or its lack of them—and its practices. But would that mean we are condemned to the long winter of far-right hegemony that some analyses are beginning to forecast? It is far too early to say, suggests a recent text by Álvaro García Linera, the thinker who served as vice president of Bolivia under Evo Morales. His central hypothesis is that this political current will prove short-lived. At a moment when the entire world is once again talking about sovereignty and protecting national economies, the far right offers a stale, recolonizing neoliberalism. Its submission to the United States is as blatant and pathetic as Flávio and Eduardo Bolsonaro’s overtures to Donald Trump. Its project amounts to something like every man for himself: greater inequality, capitalism without limits, devastation, and supremacism. Will it work? In the United States, just two years into his second term, Trump himself is reaching record levels of unpopularity and may be on the verge of losing Republican control of both the House and Senate in November. Every new beginning is difficult. Whatever the outcome of the second round, the defeats of October 4 show how profoundly the Brazilian left will have to rethink and rebuild. But just as it would be foolish to underestimate the seriousness of its mistakes, it would be equally foolish to conclude that rebuilding a political project is no longer possible. History has not ended. The times are moving faster than ever. Originally published in Portuguese by Outras Palavras. English translation by Eric Blanc; I’ve added the subtitles. More We can’t stop the far right at home or abroad without a revitalized labor movement, which is yet another reason why you should become a sustaining supporter of the Emergency Workplace Organizing Committee (EWOC) — one of US labor’s pivotal bright spots. Relatedly, Jacobin published a short piece of mine reflecting on a decade of Bernie Sanders inspiring a whole new generation of young worker organizers.
GTA 5 Made Playable in Browser as AI-Generated Game Chaos Continues
Grand Theft Auto 5 was made playable in a browser before it was pulled offline, amid an explosion of AI-fueled games across the internet.
Italy’s Meloni follows pop stars in seeking to trademark her voice to combat AI deepfakes
Italian Premier Giorgia Meloni has applied to trademark her voice with the European Union intellectual property office in a bid to bolster protections against AI-generated deepfakes | KNSS Radio
New AI Detector Spots Machine-Written Science Papers With 91.5% Accuracy
Researchers in Jordan have developed a hybrid deep learning detector that distinguishes human-written scientific text from output generated by ChatGPT, Gemini, and LLaMA-3 with 91.5 percent accuracy.
Fareed Zakaria on his takeaways from top tech meeting and what’s difficult about regulating AI
Hassett blames ‘partisan pollsters’ for pessimistic consumer sentiment and says ‘the economy is booming’
Christa Pike’s attorney calls on Tennessee Gov. to commute her sentence: She’s been through ‘some really really bad’ torture
Christa Pike’s attorney calls on governor to commute her sentence: She’s been through ‘some really really bad’ torture
Could Democrats lose a Senate race in New Hampshire? A GOP candidate with a famous name tries to flip the seat
NC election experts warn about voter trust as AI makes political misinformation easier to create
State election officials, journalists and democracy experts say transparency and trusted local sources will be increasingly important as AI-generated political content spreads this election cycle.
AI Made StarCraft Bot Swaps In Human Made Bot In Tournament
In a showdown between AI generated Brood War bots and human made ones, OpenAI’s champion resorted to its natural playbook: lie, cheat and steal
Capcom Plans To Use AI To Speed Up The Game Development Process
The company previously said it won’t use AI-generated content in its games.
Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs
Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share
MLB Ends Grand Teton Game Talks After Wyoming Officials Object
The early-stage consideration generated heavy pushback.
AI-generated Fallout: New York browser game full of utterly cursed faces slapped with Bethesda cease and desist, its slop prompter claims
Bethesda have seemingly slapped an AI-generated Fallout: New York browser game with cease and desist order.
New York's gambling tax revenue faces prediction market growth
Online sports betting has generated over a billion in tax revenue for New York, but prediction markets could take a bite out of that.
Opinion: As AI political deepfake advertisements go viral, state lawmakers struggle to keep up
Opinion from Stefani Langehennig: Imagine watching a political campaign video in which a candidate admits to taking a bribe. You recognize the face and voice. But the confession is entirely fabricated, thanks to artificial intelligence.Now imagine that your state has passed a law against these AI-generated election deepfakes. Would that mean the video has to be removed from the airwaves?
Person Behind Viral AI-Generated Fallout: New York Game Hauls It Offline, Says Bethesda Issued Cease and Desist
The person behind a viral AI-generated Fallout: New York game has pulled it offline after receiving a cease and desist from Bethesda.
The rise of AI suspicion
As images, videos and text generated by artificial intelligence become more common online, people are increasingly being asked to make difficult judgments: Is this real? Was it made by a person? Can it be trusted? Those questions are no longer limited to computer scientists or technology companies. They now shape how people encounter news, social media, art and books.
The business of water conservation in one of the world’s driest countries
Good science requires much more than evidence
Empiricists believe that scientific theories are true only if they make correct empirical predictions: if we can't verify these predictions, then there is no reason to expect that they tell us anything about reality. However, Professor of Philosophy at King's College David Kyle Johnson argues that this is mistaken. In response to Bas van Fraassen, who has written on this subject for the IAI, he argues that we have many reasons for believing a theory to be true, such as it being parsimonious and having large scope — qualities which have been used throughout the history of science as criteria for judging theories. In 2024, Princeton philosopher Bas van Fraassen wrote a short article for IAI News entitled “Science Does not Describe Reality: The Limits and Benefits of Explanation.” At the time, I was working on two projects (a science book and a Great Course) that, when completed, would (among other things) defend science’s ability to describe reality. I wanted to write a response to van Fraassen, but the projects demanded too much of my attention. But now that those projects are complete, I am in a position to explain the objections to van Fraassen’s thesis. Summarizing van Fraassen’s argumentIn a nutshell, his argument is this: What scientists do is make predictions based on theories and then invite others to test to see whether those predictions are borne out. “If theory T is right, result R should happen in experimental condition C.” Many think that running an experiment that shows that R happens in condition C is proof that theory T is true (and should be believed). But, van Fraassen argues, that R happened in condition C is only a reason to think that R happens in condition C. That’s the only observable, or empirical, result we can actually see, so that is all that we are really justified in believing. (The underlying theory that made that prediction still may or may not be true.) That is why he calls those who accept his position “empiricists.”Before I explain what is wrong with this position, let me explain what it gets right. What van Fraassen Gets RightFirst, a theory correctly predicting the results of an experiment is not, strictly speaking, “proof” that the theory is correct. The basic line of reasoning is this:If the theory T is true, result R should happen. Result R did happen. Thus, theory T is true.In other words:“If T then R. R. Thus, T.”This is a deductively invalid, fallacious mode of reasoning, called “affirming the consequent.” Those premises do not guarantee that the conclusion follows. “If I am in Pennsylvania, then I am in the USA. I am in the USA. Thus, I am in Pennsylvania.” Clearly that argument doesn’t guarantee its conclusion; neither does the above argument.However, science is not a deductive method of reasoning; it is an inductive one. And inductive arguments merely try to raise the probability of their conclusion, not “prove” them for certain. Thus, the fact that an experimental result doesn’t prove a theory is true is irrelevant; it’s not supposed to. That is not what scientific reasoning is about.___If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational.___Second, it’s also true that a single experimental result doesn’t provide enough justification to believe that a theory is true. Scientists do not come to a consensus about whether a theory is true by looking at a single experiment; they look at all the evidence to determine where the preponderance of evidence points. The mere fact that I am in the USA raises the probability that I am in Pennsylvania, but not nearly enough to conclude that I am in Pennsylvania. However, if I am also regularly encountering people wearing Eagles and Phillies hats and seeing advertisements for Founding Father tours, I probably am. In the same way, a theory successfully predicting the outcome of one experiment is not enough to conclude that it is true; but if a theory makes a wide variety of predictions that are all vindicated by multiple experiments, performed by many different groups and people, all actively trying to prove the theory false (which is what good scientific experiments are designed to do)—that is a good reason to conclude that the theory is true. In other words, if you repeatedly try to prove something false but can’t, that is a very good indication that it isn’t. The problem of underdeterminationIn reply, those whom van Fraassen calls “empiricists” often point to the “problem of underdetermination.” For any given theory that makes successful predictions about what happens in experimental conditions, there are countless other possible theories that make exactly the same predictions—and since they do, the experimental evidence in question is just as much reason to accept any of those theories as it is to accept our original one. Thus, the argument goes, we have no way of knowing whether our original theory is true, or one of the other “predictively equivalent” theories is true. SUGGESTED VIEWING How Occam's Razor changed the world With Johnjoe McFadden As an example of underdetermination, philosophers often offer this example. The evidence of fossils seems to provide reason to conclude that the universe is quite old; ancient fossils are what the “ancient universe” hypothesis predicts. But it’s also possible that God created an ancient-looking universe 200 years ago, complete with a “fake” fossil record for us to find, to make it look old. The existence of fossils is what that theory predicts too. So, the argument goes, the fossil record can’t be used as evidence that the universe is ancient; the fossil record supports the “200-year-old ancient-looking universe” theory just as much. The problem of underdetermination points out that, for any theory with supporting evidence, we could invent another completely different theory that predicts exactly the same evidence, and thus undermine that evidence’s ability to support the original theory.But this “argument from underdetermination” betrays a fundamental misunderstanding of what scientific reasoning is and how it works. To explain, let me use another rather strange (but very real and commonly discussed) philosophical thought experiment called “The Grue Problem.” The “Grue” ProblemSuppose I want to know what color emeralds are, so I observe a few, see that they all appear green, and form the theory that “all emeralds are green.” I thus predict that the next 100 emeralds I find will also appear to be green. And let’s say that happens, and so I thus conclude that my theory that all emeralds are green is true. Now, one might rightly point out that I don’t know for sure that all emeralds are green—I have not seen them all. Maybe some I haven’t found yet are blue. Fair enough. After all, we used to think that all swans were white, until we found some black ones. But let’s say that I go on a quest and collect every emerald in the universe—and, for the sake of the argument, let’s say I can do this, and can even know that I have every one of them. So, I collect them all, look at them all, and verify that they all appear green. Can’t I now rightly conclude that all emeralds are green?Inspired by the problem of underdetermination, a friend might argue that I cannot.Sure, they all appear green now—but there could be another kind of color called “grue.” Something is grue if it is green up to a certain point in time, but then spontaneously turns blue. And there could be an infinite number of “shades” of grue. Something that is one shade of grue will turn blue at noon today, but something that is another shade of grue will turn blue at noon tomorrow, etc. So yes, the emeralds appear green now; and since they haven’t turned blue yet, they are not some “past” shade of grue. But they might be some “future” shade of grue (e.g., they may turn blue at noon tomorrow). And since all future shades of grue are consistent with “being green up to this point in time,” the evidence you have is completely consistent with the notion that all emeralds are some future shade of grue, rather than green. Indeed, that they would appear green until now is what the “some future shade of grue” hypothesis predicts. So, we have just as much reason to conclude that all emeralds are some shade of grue as we do to conclude that they are green.You’re probably thinking “It’s not equally possible that the emeralds are grue; they are obviously green.” You are right! But explaining why your instinctive reaction to my friend’s argument is correct will help inform why van Fraassen’s “empiricist” is wrong and science actually does describe reality.The main mistake my friend makes is in thinking that the “empirical evidence” (of all the emeralds appearing green) is (or even should be) all I am using to draw the conclusion that all emeralds are green. It is not. I am also considering known facts about how colors typically work; things don’t usually change color, and when they do, they don’t do so suddenly, without cause, and all at once. So, even though the simple evidence of the emeralds all appearing green up to this point is consistent with them being some future shade of grue—that is even what the grue hypothesis “predicts”—it is still exceedingly unlikely that they are. The hypothesis that they are green is much more likely. Understanding science refutes the problem of underdetermination The misunderstanding about science that the “empiricist” pointing to “the problem of underdetermination” makes is similar to the one that my friend made. Science is not just about considering experimental evidence; in fact, it’s not even just about considering empirical evidence. As Ernan McMullin and many other philosophers of science have pointed out, the inference that makes science is “inference to the best explanation” (sometimes called “abduction” or “retroduction” by McMullin). While, depending on the circumstances, scientists use many different kinds of reasoning, science as a whole is, simply put, the process of considering multiple competing explanations and comparing them to certain criteria—explanatory criteria (the kinds of things explanations must be and do, by definition, to be a good explanation)—to see which explanation is the best.And these criteria do not deal only with empirical results. Yes, successful predictions raise the probability of a hypothesis, but it’s also the case that the more new assumptions a theory makes, the less likely it is to be true; every new assumption presents an opportunity for the theory to be false. (The fewer assumptions a theory makes, the simpler or “more parsimonious” it is said to be.) Likewise, the more existing evidence a theory contradicts, the less likely it is, because in order for a theory to be true, every piece of evidence it contradicts has to be somehow faulty. (The fewer established theories a new theory contradicts, the more “conservative” it is said to be.) And, obviously, the more something explains, the better explanation it is. (This is called having “scope.”) If a theory raises unanswerable questions, it’s not expanding our understanding, and thus is not wide-scoping. Scientists consider all these things when deciding which theory to accept, because the theory that adheres best to these explanatory criteria is most likely to be true.___the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth.___The reason the grue hypothesis is no good is because it invents an entirely new kind of color—not just a new shade, but an entirely different category of color (a different way colors work)—and thus is not parsimonious. It raises unanswerable questions about how and why emeralds would just spontaneously change from green to blue (and thus does not have wide scope). And it contradicts what is already well established about how color works (and thus is unconservative).The theories that the problem of underdetermination points to do the same thing. Yes, the theory that God created an “ancient-looking universe” (complete with an ancient-looking fossil record) two hundred years ago is also consistent with the empirical evidence (of a fossil record) that presently exists; but that theory is monumentally unparsimonious (it requires many extra assumptions about infinite entities) and not wide-scoping (it raises unanswerable questions about why God would do such a thing). So, I can rationally conclude that it is false.Indeed, the history of science includes many examples of theories that were rejected because they lacked parsimony and/or scope, even before their falsity (and the truth of their competing theory) was confirmed by observation. As I point out in my book, geocentrism was rejected by the scientific community because it lacked parsimony, almost 200 years before the observation of parallax confirmed that the Earth moves around the sun. And the continuum theory of matter was completely rejected by 1860, because it couldn’t explain chemical reactions or organize matter into a periodic table, even though the experiments that eventually confirmed atomic theory weren’t even proposed until the 1870s. Solving the best of a bad lot problemIn response, the “empiricists” are likely to object, this time pointing to the “best of a bad lot” problem. “We have no reason to conclude that an explanation that has been shown to be better than others is true because we have no guarantee that the true theory was among those that we were considering.” If you have a “lot” (a collection) of poor explanations, even the best one is not true.The responses to this problem, however, are numerous. Peter Lipton argues that the set of hypotheses that scientists consider are not just randomly selected and thus unlikely to contain a theory that is true; they use existing knowledge to home in on what is most likely to be true. A doctor trying to explain abdominal pain is not going to bother wondering whether demons are causing it; they are going to stick with things like appendicitis and kidney stones, because they are most likely. Further, despite its name, inference to the best explanation is not just the process of comparing hypotheses and accepting the best one; we also want one that is a good explanation in its own right. If it’s not, we are going to keep looking until we find an explanation that is. And while that process does not guarantee that we will come across the exact truth, it’s very likely that the theory that emerges as the best will be at least approximately true, and thus we will be justified in believing it. And lastly, as I point out in my book, although many theories not based in scientific evidence (like geocentrism and continuum theory) have been completely overturned, science almost always progresses by the refinement of scientifically established theories—not their replacement. (Although our sun is not the center of the universe, heliocentrism was our first step in understanding the Earth’s true place in the universe.) So even if a theory we accept today may not be completely right, accepting it is a step on the journey toward the complete truth. The example of atomic theoryNow, it’s worth pointing out that most empiricists are not skeptical of all scientific theories; they are only skeptical of the ones that hypothesize the existence of “unobservables.” It’s not like they think that round Earth, heliocentrism, and germ theory are just useful (but untrue) “instruments” for making predictions about how to most efficiently navigate the seas, predict planetary motion, and treat diseases. They admit that the Earth actually is round, that the planets revolve around the sun, and that germs exist and cause disease. These facts and entities can be observed; the theories that suggest they exist are true. It’s only when theories start hypothesizing the existence of unobservables—like electrons, or quantum fields—that can’t be observed directly, that we should start doubting the theories’ truth. And to be fair to van Fraassen, in this published work, he doesn’t really say that we should doubt the truth of such theories. Only that scientific reasoning does not rationally force us to accept them as true. Skepticism, or agnosticism, he argues, is warranted. SUGGESTED READING Science is based in metaphor By Andrew Reynolds But the history of atomic theory throws a monkey wrench into that argument. Atoms used to be unobservable; again, scientists first accepted the theory that they exist because it had such grandiose explanatory power. But then atoms were seen with electron microscopes. They thus moved into the category of the observable. But this didn’t substantially change anything about what scientists were justified in believing; it certainly didn’t change any “atomic skeptics’” minds. It just confirmed what everyone already knew! If the hypothesis that something exists clearly provides the best explanation for what we can observe, then the belief that it exists is what is rational. The fact that the thing itself is not technically observable does not make doubting its existence rational.What’s more, the atoms were seen with an electron microscope. But electrons are themselves unobservable. How can an electron microscope reveal an atom if electrons are not real? This leads us to what is famously known as Hilary Putnam’s “miracle argument.” It’s (not) a miraclePhilosopher Hilary Putnam’s miracle argument is somewhat famous. Basically, he argued that a scientific theory being able to repeatedly make successful predictions—even about unobservables—without being at least approximately true would require a “miracle.” In other words, it would be such an improbable occurrence that it could not rationally be believed—the better explanation for why scientific theories about unobservables make the right predictions is because the unobservable entities and structures they hypothesize exist.Van Fraassen has addressed this argument. Indeed, in his original article, where he references Alison Gopnik’s point about orgasms not being “necessary for procreation” even though the desire for orgasm “drives the creation of progeny,” he is pointing to his own argument about how organisms are not naturally selected by evolution to get true beliefs; to the extent that belief-forming processes are selected for, the ones that are selected are the ones that are useful for survival—not the ones that produce true beliefs. In the same way, van Fraassen argues, scientific theories are accepted, not because they are true, but because they aren’t falsified; they make successful predictions; that’s what makes them “stick around.” So, the fact that they make successful predictions (and thus became accepted) is not a reason to think they are true.This argument is similar to C. S. Lewis’s “argument from reason,” which he used to argue against evolution: “The truth of evolution undercuts our ability to know that it is true.” Lewis’ argument famously failed; Elizabeth Anscombe, by Lewis’s own admission, demolished Lewis in a debate on the topic, and I have explained elsewhere why modified versions of the argument fail as well. In short, it’s because it fails to recognize that a belief-forming process can make an organism more likely to survive because it reliably produces true beliefs. It is therefore not the case that beliefs generated by naturally selected belief-forming processes are automatically false or unjustified.In the same way, the reason a theory “sticks around” could be because it’s not falsified, because it “makes correct predictions.” But the reason it makes correct predictions is most likely because it is true. (In pointing this out, I am echoing the arguments of Musgrave, Lipton, Psillos, and Kitcher, who refuted van Fraassen’s argument and analogy long before his 2024 article.) It would be a huge coincidence that it could do so without being true. And that is the point of Putnam’s miracle argument. Thus, contrary to van Fraassen’s suggestion, the mere fact that a theory’s predictive success is why it “sticks around” or “becomes accepted” in the scientific community is not a reason to be skeptical about its truth. ConclusionLet me close by saying something about the fact that empiricists don’t doubt the truth of all scientific theories, just the ones that hypothesize unobservables. In today’s society, this theory is dangerous to espouse publicly. The nuance between being skeptical about all of science, and just the highly technical theories about unobservables, is guaranteed to be lost to the average reader. And there is so much unjustified skepticism and doubt about the findings of science and experts that a headline like “Science Does Not Describe Reality” could easily fuel the anti-science movement, worsen climate change denial and cause the next pandemic.This is why I believe it was important to still respond to van Fraassen’s article, a full two years after he wrote it. Not only, as I have argued, does it represent a philosophically inaccurate view of how scientific reasoning works and what scientific reasoning can do, but it is a dangerous view to boot. It should thus be rejected.
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How lip-syncing to AI let Forced Entertainment ‘play the game of theatre’
Today we have a fascinating piece by long-time Forced Entertainment fan Ben Kulvichit, speaking to Tim Etchells about their latest show Cold Sweat, how they are integrating lip-sync and AI voices into their work, the question of ‘authenticity’ on stage, and how lip-sync has even opened the door for them to make “something a little bit like drama”. This piece is a paid partnership with the Southbank Centre, where you can see Cold Sweat next month – we’re very grateful to the Southbank Centre for their ongoing support for Exeunt. Holly Williams ‘It was immediately interesting and uncanny’ **By Ben Kulvichit** “Is the microphone on?” So goes one of the opening lines of Signal to Noise, delivered by a human performer lip-syncing to an AI-generated voice. The voice is American, cheery but sluggish, slowed down into a gelatinous drawl. It repeats ad infinitum in a farce of stuckness; an answer never materialises. I find myself asking the same question as I hop on a Google Meet call with Tim Etchells, the artistic director of Forced Entertainment. We spend five or ten minutes frowning at each other, muting and unmuting, me gesticulating in semaphore into my webcam, checking if I am coming through now, restarting the laptop. To Etchells, I appear exaggeratedly mouthing words, my voice missing. In this gloopy purgatory of broken communication, life imitates art imitates life imitates art. We try a Zoom instead. Forced Entertainment, the pioneering British theatre company who have been at the avant-garde of performance since the 1980s, turned an interesting artistic corner with Signal to Noise, created on the occasion of their 40th anniversary. The whole performance employed this lip-sync technique to AI voices; on the face of it a left-field move from a company whose identity has long been grounded in the earthy, immediate presences of its performers and its unassuming, low-tech approach to theatricality. The technique, however, turned out to provide the company with a “rich new seam” of artistic enquiry, and has now spawned a trilogy of works. The second instalment, Cold Sweat, plays at Sheffield Theatres, Southbank Centre, and Lancaster Arts in October, while the third part, Everything Must Go, has been touring in Europe and is slated to come to the UK in 2027. As is often the case with Forced Entertainment shows, the main conceit for this work didn’t arrive until quite late. They were “four or five weeks into rehearsals for Signal to Noise,” Etchells recalls, and getting nowhere. Away from rehearsals, he had been playing around with feeding “weird texts” to AI voices to see how they would cope with them – “basically for my own amusement” – and was compelled by the uniformly “serviceable, benign, good-natured” tone they would read in, no matter how poetic, fractured or experimental the writing. On a hunch, he brought some examples into rehearsals and the performers gave lip-syncing a go. “It was immediately interesting and uncanny,” he recalls, with the performers having to deal in the moment with the problem of mapping themselves onto another artificial ‘performer,’ which itself was dealing with the problem of a very human text. “Almost all the writing for these projects would be useless to us unless it was done in this way,” says Etchells. “We wouldn’t know what to do with it. It’s too poetic. It’s too fictional. It’s too tangled.” But exploring lip-syncing along to the text has opened “an enormous reservoir of ways of thinking about writing and performing.” Subscribe to Exeunt, and get two in-depth pieces on theatre a week, direct to your inbox Subscribe Forced Entertainment have long been sifting through the detritus of popular culture, from daytime TV to end-of-the-pier vaudeville, magic acts and clown shows, to find frameworks for their own unusual entertainments. Lip-syncing, then, makes sense for them to experiment with. As a mode of performance, it’s wired into popular consciousness through pop stars trying to convince stadium audiences of their liveness, or those same voices as channeled through the made-up lips of contestants on RuPaul’s Drag Race, or movie dialogue spreading virally through the host bodies of TikTok users. For Etchells, lip-syncing is often about “approaching real voices and trying to take on their aura,” subsuming that original human presence into yours. “There’s a very basic, elemental sort of theatre magic to it, produced in this very easy way.” This broad approach resonates with instances of lip-syncing within contemporary performance, too. In works like Re-Member Me and Showmanism, performance artist Dickie Beau acts as a kind of spirit medium for archival recordings (this process of re-membering – as in, giving corporeal form to voices – relies on his masterfully precise actor’s technique), while Frankie Thompson is similarly possessed by a host of characters ranging from a nine-year-old Jacob Rees-Mogg to Cliff Richards, all of whom she finds compellingly nauseating, in the exorcism ritual that is her latest show, Horrible Things. What’s different about Forced Entertainment’s use of lip-syncing is that here, there is no original presence to be channeled. The performers are instead taking on what Etchells describes as “the voices of nobody,” or rather the “phantasmic, aggregated echoes” of the many many voices on whose data the AI has been trained, and which are now conjuring into existence words they never actually said. There is a sort of mournful, empty quality to these voices, having “washed up” far away from the people they originally belonged to, to find themselves in stranger’s mouths listing objects, wondering if anyone can hear them and glitching in interminable loops. There is a cold, sad anonymity to it all. Etchells remarks that occasionally the software company he used has notified him that particular people are withdrawing their voices from the platform, instructing him to cease use of those voices. Using these technologies in performance certainly brings up ethical questions around digital rights, consent, identity and ownership, although in the grand scheme of things, Etchells is fairly blasé about it: of all the purposes someone’s voice might be put to without their knowledge, “an avant-garde performance is probably the least of their worries.” [ ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) [ Frankie Thompson: How I manage my own ‘horrible things’ at the Edinburgh Fringe ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) Exeunt · Aug 25 [ Read full story ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) For the performers, though, lip-syncing to these strange, artificial voices is an odd task, requiring them to bend their live, human presence into the shapes produced by machines. Politically, it mirrors processes that are already at play in the continued computational automation of human life. Etchells brings up James Bridle’s writings on new technologies as a reference point: one example Bridle gives is of “chaotic storage”, a logistics technique employed by Amazon fulfilment centres whereby items are stored not according to traditional methods of categorisation or alphabetisation, but in a way that an algorithm determines to produce the most efficient routes for ‘picking’ based on customer purchase patterns. This appears completely random and incomprehensible to humans, with paddling pools sitting next to USB sticks sitting next to blowtorches, and so for the warehouse workers, the process of picking items becomes completely reliant on technology which tells them where to go. Our world is increasingly being designed not with humans in mind, but rather machines. As Etchells puts it, “technology malforms the space, and then you end up having to live in it.” Initially, Forced Entertainment tried their best to live in the world of machines: “I was in the it’s-got-to-be-perfect school of lip-sync,” says Etchells. But with their aesthetic being so tied to the failing act, the slipping mask, the shoddy costume, “it’s no surprise really that that didn’t last.” Instead, the performers got to enjoy being late for a line, or playing games with each other, “stealing” each other’s voices. Etchells compares it to the principles of ventriloquism, in which a free-floating voice unattached to a body is fundamentally discomforting and “sort of traumatic”. That discomfort is equally as alluring to Forced Entertainment as the satisfaction of precision, the pretence of authenticity only interesting if shown to be a pretence. Lip-sync has also opened up new avenues for the company. Having been allergic all their lives to Plays-with-a-capital-P, with Cold Sweat Forced Entertainment find themselves approaching something a little bit like drama. Rather than the presentational arena of Signal to Noise’s open white stage, Cold Sweat places us more decisively in a “fictional locale”: what appears to be “the aftermath of some disastrous party or backyard drinking binge” where three figures – family members, or neighbours, perhaps – are the last ones standing. “It’s all quite acrimonious and accusatory, everyone’s talking over each other.” For Etchells, this more fictional mode is “a door that we’ve never been able to open. We’ve just never really gone there.” Perhaps it is the technique of lip-syncing, an extra buffer of mediation, that allows them to venture away from the here-and-now without feeling that they have to commit to the “psychological claptrap” that comes along with acting; to be able to “play the game of theatre, without getting one’s hands too dirty.” As I wonder how else the impulses behind Forced Entertainment’s work have changed over time, it occurs to me that over the last ten years of new creations, with the exception of If All Else Fails, the company’s performers haven’t ever spoken on stage: there were two shows without any language at all, Out of Order and Under Bright Light, and then this trilogy of lip-sync works. Etchells agrees it’s a shift away from earlier productions, that were so often about “the actual voices of the performers and their actual presences. We had a lot of money, in some ways, on an authentic approach to what it might mean to speak on the stage.” But this sense of authentic presence itself had a fakeness to it; these days, Etchells can’t stand that mode of being onstage where performers “are here to be cheeky and witty versions of themselves. I don’t want to be charmed.” Pulling back into a more anonymous space has resulted in works that feel slightly sharper-edged, more brutal in a way. “All of these shows are post-Brexit, post-Trump, post-truth, post-everything,” Etchells notes. Speech, charisma, authenticity – these things feel politically loaded, and perhaps warmth and openness just don’t feel like the right tools to reflect the world we’re living in. “It feels like the space is closing down, and we’re trying to deal with the fact that the system, the structure that you’re in, is more oppressive and more powerful. It probably always was, but I think we’re just more tuned to it now.” Yet even without their voices, the performers’ distinctive presences – ones that many audiences have followed around for years, if not decades – still, inevitably, shine through as they physically navigate whatever unending task the system of the piece has set for them. They’re still trying to keep up with the onslaught of text, still running about, changing costumes, moving stuff around. The human is always stuck in the teeth of the machine, jamming the smooth, frictionless cheeriness of the not-real, gesticulating silently, trying desperately to communicate. Cold Sweat is at Sheffield Theatres, 2 to 3 October; Southbank Centre, London, 9 to 10 October; Lancaster Arts, 14 October [ ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) [ Exeunt recommends... the best autumn theatre ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) Exeunt · Sep 16 [ Read full story ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) This piece was paid for by the Southbank Centre. Such support helps Exeunt to keep publishing the most interesting writing, about the most exciting theatre. Interested in partnering with Exeunt? Visit our Advertise with Exeunt page, where you can get more information, download an advertising pack, and find our contact details.
United Way Day of Action draws more than 675 volunteers
More than 675 volunteers completed 67 service projects for 20 local nonprofit organizations during United Way of Central Iowa’s 2026 Day of Action. The event included projects such as reading with students, organizing learning materials, improving nonprofit facilities and revitalizing outdoor spaces. United Way estimated the volunteer work generated $64,932 in community impact. This year’s…
Vikki Goodwin files police report saying Dan Patrick broke law with AI-generated campaign ads
Goodwin said that two ads depicting "deepfake" images of her violate a campaign law passed by the Texas legislature in 2019.
Intermountain Health ACO Ranked Among Nation’s Top Five for Medicare Savings in 2024
Intermountain Health’s accountable care organization (ACO) generated more than $67.6 million in Medicare savings through the Accountable Care Organizations Realizing Equity, Access, and Community Health, or ACO REACH, program in 2024.The results placed the ACO fifth nationally among participating organizations and marked the third consecutive ...
AI-generated 'experts' front German-language political video network
Researchers identified 47 YouTube channels using artificial presenters to discuss conflicts, geopolitics and German politics, with videos recording more than 7.5 million views.
Amb. Waltz on whether Trump and Xi will reach deal on A.I.: ‘With President Trump, I always see the opportunity’
Amb. Waltz on if Iran war could extend until 2029: ‘I wouldn’t necessarily put a timeline on it’
‘Backrooms’ Surpasses $400 Million at Global Box Office
“Backrooms” has hit $400 million at the global box office, a remarkable benchmark for the low-budget indie sensation. After nearly four months on the big screen, “Backrooms” has generated $197.5 milli...
Cardinal Health Targets 13%-15% EPS Growth as Specialty Momentum Builds
Cardinal Health (NYSE:CAH) CEO Jason Hollar said the company expects fiscal 2027 to extend the broad operating momentum it generated in fiscal 2026, with all five operating segments positioned for what he described as a “constructive” period. Speaking at the Morgan Stanley Global Healthcare Confere
Democrats call for investigation into faulty AI-generated intel report
A group of top Democratic senators is calling on government watchdogs to investigate a series of mistakes in US military targeting plans caused by artificial intelligence, after a CNN report detailed how one such error, according to a source familiar with the incident, “almost started a war.”
Insomniac Confirms Wolverine Doesn't Contain AI-Generated Assets After A Weird-Looking Sign Goes Viral
A funky-looking bathroom sign is the result of an in-game glitch and is not AI slop
Novant Health drives $4.33B in regional economic impact, study says
Novant Health Coastal Region generates an annual overall economic impact of $4.33 billion in the Wilmington Metropolitan Statistical Area (MSA), according to a new report. Commissioned by Novant Health and conducted by Mouhcine Guettabi, associate professor of economics at the University of North Carolina Wilmington and the area’s regional economist, the report evaluates population growth in New Hanover, Brunswick and Pender counties and whether the area’s healthcare infrastructure is positioned to meet the region’s demand. According to the study, while healthcare employment has kept pace with population growth in New Hanover and Pender counties, it has not kept up with the rapid population growth in Brunswick County, which is skewed toward an older population. “It points very clearly to Brunswick County being the bottleneck, or being the place where investment is most needed,” Guettabi said to the Business Journal Friday, “because the growth is the fastest, the composition of the growth is older (adults) and demand for healthcare is much higher for the subpopulation.” The Novant Health Coastal Region employs 8,295 full-time equivalent workers, according to the report, and is the region’s largest employer. Overall, through direct, indirect and induced impacts, the Novant Health Coastal Region supports 19,573 jobs, the report said. Using data collected from internal payroll, financial and capital reports, the report estimates that Novant Health Coastal Region pays approximately $1.15 billion in total compensation to its employees. According to the study, the provider’s annual operating expenditures, or direct economic impact, total $2.36 billion. That direct impact ripples through the regional economy through spending at its suppliers, or indirect impact, and household spending by staff and its suppliers’ workers, or induced impact. The report estimates the Novant Health Coastal Region’s indirect economic impact is $786 million, reflecting the multiplying effect of the provider’s operating expenses on expenditures like medical supplies, facilities, food, IT and professional services. Because 86.9% of Novant Health Coastal Region employees live within the tri-county region, the report estimates that wages paid by Novant circulate into the regional economy, creating an induced economic impact of $1.17 billion. “That money just doesn’t go into thin air,” Guettabi said of the wages paid to Novant Health Coastal Region employees. “Some of that money is being re-spent, and therefore it’s supporting grocery stores, hiring, restaurants and bars, and there are a lot of other companies or organizations whose employment, whose activity partially depends on that.” The combination of direct ($2.36 billion), indirect ($786 million), and induced ($1.17 billion) impacts totals an estimated $4.33 billion, according to the report. A study commissioned by Novant Health in 2024 and conducted by FTI Consulting’s Center for Healthcare Economics and Policy found that Novant Health generated nearly $2 billion of direct impact, with $628 million in indirect impact and $857 million in induced impact. Healthcare investments in the pipeline for Brunswick County Additionally, the study found that while healthcare employment has kept pace with population growth in New Hanover and Pender counties, it lags in Brunswick County. “Once you go below the metro level and you decompose the three counties that make up the Wilmington Metro,” Guettabi said, “it becomes fairly clear that Brunswick is the standout. And not only that, but clearly the growth there is fully domestic migration and largely retiree-driven migrants.” Using data from the Centers for Medicare and Medicaid Services on per-capita healthcare spending among age groups, Guettabi estimates that adults aged 65 and older demand 2.44 times the healthcare of working-age adults. “The share of the population in Brunswick County that’s over the age of 65 is 33%,” Guettabi said, “which is so much higher than the average share of people over the age of 65 within the state or within the country.” The report emphasizes that Brunswick County is the “strongest candidate” for new healthcare investment, adding that patient discharge records show Brunswick residents rely heavily on facilities in New Hanover County for inpatient care. “Investments in Brunswick County would not only meet the demand for those residents, but it would also relieve pressure for New Hanover County residents,” Guettabi said. Laurie Whalin, president of the Novant Health Coastal Region, told the Business Journal Friday that the provider plans to expand services at Novant Health Brunswick Medical Center, in addition to other investments in the area. In April, the state granted conditional approval to both Novant Health and Columbus Regional Healthcare System to build new hospitals, just miles apart, on either side of the Columbus County and Brunswick County borders. Columbus Regional’s $214 million 30-bed hospital would be located at the former Acme-Delco Middle School in Delco, according to the application. The project’s approved timetable has construction slated to finish in May 2029, with the hospital open for service by October 2029. The Whiteville-based provider, which Atrium Health manages, broke ground on an Advanced Care facility in December 2025 and operates four specialty clinics in Leland. Meanwhile, Novant Health’s proposed $251 million 20-bed hospital would be built just miles from Columbus Regional’s proposed hospital, near the Compass Pointe community in Leland. The provider estimates the hospital will open by 2030. State officials also approved Novant Health in March to build a freestanding emergency department in Carolina Shores, near U.S. 17. The project is estimated to cost $24 million, according to the application, and will operate under the Novant Health Brunswick Medical Center license. Additionally, Novant Health’s 16,000-square-foot ambulatory surgery center is slated to open in Leland by year’s end, officials said.
Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
CMU Cognitive Psychologist’s Work Has Generated Over 14,000 Language Studies
TalkBank, a family of 14 databases has become the basis for language science research on everything from how children learn to speak and how people pick up a second language to patterns that can reveal the onset of dementia.
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Four decades into men’s health study, there’s still more to learn about healthy aging | Harvard T.H. Chan School of Public Health
The Health Professionals Follow-Up Study has generated important insights into diet and health, aging, and diseases such as prostate cancer.
Allegheny County’s Board of Health weighs reshaped parental leave proposal
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VIDEO: Warnock Calls Out AI Developers, Social Media Companies, After Bizarre Health Hoax » Reverend Raphael Warnock
Senator Reverend Warnock warned about the risk to democracy after AI-generated social media posts with false health news about the Senator went viral Senator Reverend Warnock: “What if hours before an election, someone created a page with AI-generated images, fake stories about the candidates? How will voters know what’s true and what’s not true?” Washington, D.C. – Yesterday, U.S. […]
Disney's Live Action 'Moana' Bows No. 1 on Weekly U.K. Home Entertainment Sales Chart Through Sept. 16
Disney’s live-action Moana debuted No. 1 on the Official Chart, the U.K.’s weekly home entertainment sales chart through Sept. 16. Starring Dwayne Johnson and Catherine Laga’aia, the movie generated $321.9 million at the global box office before hitting digital retail channels on Sept. 8. The title supplanted the three-week No. 1 run for Disney’s Toy … Continue reading "Disney’s Live Action ‘Moana’ Bows No. 1 on Weekly U.K. Home Entertainment Sales Chart Through Sept. 16"
As campaign season gears up, AI-generated ads are everywhere
Data suggests many candidates are embracing AI this year to boost their image and portray their opponents unfavorably. But whether it will turn out voters remains unclear.
Eagles Make Head-Scratching Decision Behind Saquon Barkley
All offseason long, the Philadelphia Eagles have generated a ton of hype for their second-string running back, Tank Bigsby. Although Saquon Barkley is the clear-cut No. 1 back on the depth chart, the expectation was that Bigsby would get some more work this season, which would help Barkley save some miles. After seeing Week 1 […] The post Eagles Make Head-Scratching Decision Behind Saquon Barkley appeared first on HEAVY.
Apple Details How Reference Image Proves a Photo is Real
The iPhone 18 Pro models support Apple Reference Image, a way to verify that a photo was taken with an iPhone and hasn't been edited. Apple says it's a method to prove that something actually happened and wasn't AI-generated, likening the feature to a digital film negative. Apple Reference Image offers a trustworthy, scalable guarantee that a reference image is what it claims to be: a real photograph, captured by a real sensor in an iPhone camera, at a specific time.
Inside the automotive supply chain: Empirical evidence from Italian business-to-business trade data
Europe’s automotive industry is undergoing a significant transformation. This column uses firm-to-firm data to map the Italian automotive supply chain, covering both direct suppliers and firms connected through indirect linkages. Around 40% of the value added of the supply chain is generated by car manufacturers, with the remaining 60% split between direct suppliers and indirect suppliers. The supplier network is diverse across sectors and regions of Italy, reflecting both agglomeration forces and long-standing patterns of industrial specialisation. It estimates that demand shocks to the automotive sector would propagate through the supply chain and lead to large network multipliers.
Universal Music Group sues DistroKid for spreading "AI slop"
Universal Music is suing DistroKid, alleging the distribution service spreads AI-generated and copyright-infringing tracks that divert royalties from human artists.
Voghion Launches Trends, a Content Community Connecting Discovery, Entertainment and Shopping
Voghion launched "Trends," a new content community integrating shopping, user-generated videos, creator sharing, and entertainment for product discovery.London, United Kingdom--(Newsfile Corp. - September 15, 2026) - Voghion, a London-based online marketplace, announced the launch of Trends, a new content community within its app that brings together product discovery, user-generated content, creator sharing, short-form video and entertainment.Voghion Launches Trends, a Content Community...
Rapper Santy Sharma Makes Viral Joke And Meme About The New iPhone Duo’s Insane Price Tag
After Apple announced the iPhone Duo, it's first foldable phone, Indian rapper Santy Sharma posted an AI-generated image of himself holding the smartphone and a scar on his stomach, implying he would ...
Rapper Santy Sharma Makes Viral Joke And Meme About The New iPhone Duo’s Insane Price Tag
After Apple announced the iPhone Duo, it's first foldable phone, Indian rapper Santy Sharma posted an AI-generated image of himself holding the smartphone and a scar on his stomach, implying he would ...
Global-PTT to Launch Three Next-Generation Business-Critical PTT Solutions at Futurecom Brazil 2026
New G3, G10 and G4 devices showcase Global-PTT's commitment to safer, smarter and more connected communications for public safety and industrial users across La ...
McConnell returns to the Senate for the first time since June hospitalization
McConnell’s three-month absence from the Senate generated a flood of criticism and online speculation
McConnell say he'll vote in Senate for the first time since his hospitalization
McConnell’s three-month absence from the Senate generated a flood of criticism and online speculation