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Shaky political "science": breakdown of the peer review process
[This article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in December 2025, we examined over 40 studies focused on ranked choice voting (RCV). Many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first four articles in our series: the first one summarizing the overall results of our report; the second one analyzed a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report; a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research; and a fourth article that analyzed seven studies sponsored by New America’s political reform program that deployed flawed methodology based on “simulated” elections instead of real-world elections, which when combined with some basic misunderstandings of RCV, produced odd and misleading results]. In this fifth article in our “Shaky Political Science” series, we examine two flawed studies on the impact of RCV on voter turnout authored by San Francisco State University professor Jason McDaniel. McDaniel’s research in these two papers stands out for its puzzling methodology, inadequate and cherry-picked data, and faulty analyses that not only misunderstands ranked choice voting but reflects a basic misunderstanding of politics in general. The first of the McDaniel studies actually passed through a peer review process and then was subsequently published by the Journal of Urban Affairs, despite its obvious errors. It is perplexing that a jury of peer political scientists did not catch the errors and send it back to McDaniel for a rewrite or outright rejection. This calls into question the credibility of the peer review process itself. The peer review process is supposed to represent the intellectual pinnacle of the profession – a way for academics to certify the quality of each other’s work, and to act as a check against sloppy research. In the case of the McDaniel study, the peer review process failed. Yet his flawed study has been cited dozens of times by other political scientists in their own flawed works — an unvirtuous circle of academic research. Here is the first Jason McDaniel study that we analyzed: “Writing the Rules to Rank the Candidates: Examining the Impact of Instant-Runoff Voting on Racial Group Turnout in San Francisco Mayoral Elections,” by Jason McDaniel, 2016, Journal of Urban Affairs. This study covered San Francisco’s use of ranked choice voting (RCV) in mayoral elections, purporting to show that RCV reduces voter turnout overall, increases voter errors, and has a negative impact on “marginal populations,” i.e. racial minorities, mainly as the result of the alleged complexity of RCV asking voters to rank candidates and having to be familiar with multiple candidates and related dynamics. McDaniel reached these conclusions by examining five San Francisco mayoral elections taking place in odd years (i.e. where there are no federal or state races on the ballot) from 1995 to 2011, comparing three earlier non-RCV races (in 1995, 1999 and 2003) with the later two RCV races (in 2007 and 2011). Only two RCV races were studied, and as McDaniel acknowledged, only the contest in 2011 was “competitive” (that contest in 2007 was the first mayoral election using RCV, and incumbent mayor Gavin Newsom won easily in the first round of counting, earning 74% of first choices and far ahead of the second place candidate who had just 6.3% of first choices). Yet even the allegedly competitive contest in 2011was won by an incumbent with a landslide margin of nearly 20 points. No other elections were studied by McDaniel, even though San Francisco elects 17 other offices besides mayor with RCV, including the 11 seats on the Board of Supervisors (the name for the city council) in even years, and six other citywide offices in odd years. Previous academic research has found that competitive elections can stimulate greater voter involvement and higher turnout. For unexplained reasons, this study ignored at least 34 other RCV races between the years 2004 to 2011, many of which were very competitive and had high voter turnout. Instead, McDaniel’s analysis based its conclusions on data from only a single, marginally-competitive mayor’s race using RCV. These 2007 and 2011 mayoral elections were the only two RCV elections that McDaniel used as the sole basis for his small data set to determine the impact of RCV on voter turnout. Despite having no meaningful data to inform his study, McDaniel nonetheless concluded that RCV lowered turnout when compared to the previous three mayoral non-RCV elections using two-round runoffs. Then, using the same inadequate database of San Francisco elections, McDaniel also found that “Instant-runoff voting is associated with a significant decline in Black voter turnout and White voter turnout…On average, Black voter turnout decreases by 18 points and White voter turnout decreases by 16 points …” But how could he credibly arrive at that conclusion when his study was based on voter turnout in two RCV contests that were not even remotely competitive? Beyond that, McDaniel tacitly admits that the key determining factor driving Black voter turnout was not RCV vs non-RCV elections, but the presence of a viable Black candidate. McDaniel wrote, “Black voter turnout was about 17 percentage points higher for the two elections that featured an African American candidate compared to the three elections that did not” — but one of those three elections did not use RCV. The same dynamic was present for White voter turnout, in which higher turnout was not correlated with RCV vs non-RCV elections, but the presence of a viable White candidate. Beyond that, McDaniel’s voter turnout results, whether correlated with the race of the candidates or RCV vs non-RCV elections, showed no clear patterns. In his Figure 1, he shows low Asian voter turnout in the non-RCV elections in 1999 and 2003 when there was no viable Asian candidate running, but in the 2007 mayoral election using RCV, there is still no viable Asian candidate, yet Asian turnout increases dramatically. For Latinos, voter turnout is virtually the same in 1999 (no viable Latino candidate, non-RCV elections), 2003 (leading Latino candidate, non-RCV elections), 2007 (no viable Latino candidate, RCV elections) and 2011 (leading Latino candidate, RCV elections). Meanwhile White voter turnout increased dramatically from a low in the 2007 mayoral election, in which the leading candidate was a white incumbent, to the 2011 election in which there were no leading white candidates that finished any higher than sixth place with 5.6% of the vote. Clearly other factors were determining voter turnout than either the race of the candidates or RCV vs non-RCV elections. Despite these inconsistent findings, McDaniel boldly marches forth to render conclusions about the impact of RCV on different groups of racial voters, even though his conclusions are not remotely supported by his data. This looks like the worst kind of “data cherry picking” to cover up a puzzling conclusion based on a poor data set involving only two RCV elections, neither of which were remotely competitive. McDaniel’s cherry picking didn’t stop there. In calculating voter turnout for the three non-RCV mayoral elections in 1995, 1999 and 2003, he failed to mention that in each of these years there was a two-round runoff election, with a first round election in November in which no candidate garnered a winning majority of the vote, followed by the decisive runoff in December. So there were two non-RCV elections in each election year. But McDaniel only decided to include one of the two elections in his data set, apparently the December runoff in each year (which had higher turnout in two out of the three mayor’s races, and lower turnout in the third). So he ignored the November 1995 election, the November 1999 election when turnout was only 45 percent, and the November 2003 election when turnout was only 45.7 percent. This is flawed methodology based on blatant cherry picking, since McDaniel simply omitted three elections worth of data that did not fit within his frame. His study should never have made it through a peer review process, and it is an embarrassment to political science that not only was it approved for publication, but it has been uncritically cited by dozens of other political scientists. Share A “study” without wider context or credible data Lacking a data set that included even a single competitive RCV mayoral race, McDaniel declared that RCV lowered voter turnout in 2011, when turnout was 42.5 percent. But he also ignored -- or did not realize -- that voter turnout in mayoral elections during 2011 had sharply declined in all big cities, including far more steeply in nearby Los Angeles and other cities. In fact, San Francisco’s election in 2011 had the second highest turnout of any mayoral election in the nation’s 22 largest cities from 2008-2011. Was 2011 just a particularly low turnout year all across the country, perhaps because the country was still reeling from the aftermath of the housing market collapse in 2008-2010? McDaniel ignored this factor and did not search for alternative explanations beyond his flawed thesis. Furthermore, while McDaniel suggested that RCV leads to more “overvotes” – which is an invalidated ballot in which a voter, in either a non-RCV or RCV race, makes a mistake and selects two candidates for a single choice – he failed to address that in the June 2012 US Senate primary contest, which used the typical “one-choice” plurality method and did not use RCV, there was more than five times as many overvotes in San Francisco and Oakland than in the RCV mayoral elections in those cities. Additionally, turnout had been significantly higher and more representative in RCV elections for the San Francisco Board of Supervisors races -- that McDaniel didn’t even bother to study -- as compared to previous “delayed two-round runoffs” for those offices, often higher by as much as 40% in the RCV races. Perhaps the most surprising irony was that an earlier study co-authored by McDaniel (Overvoting and the Equality of Voice under Instant-Runoff Voting in San Francisco by Francis Neely and Jason McDaniel, 2015, California Journal of Politics and Policy) found that overvotes are often more common in lower-income precincts, but that the pattern of overvoting is similar in both RCV and non-RCV contests. Wrote Neely and McDaniel: “[Overvote] errors appear to be a function of complexity in general and not IRV per se…. the pattern of overvoting is similar in both IRV and non-IRV contests…Even among votes cast in a top-of-the-ticket race like U.S. Senate, overvoting occurs in an uneven fashion” (IRV, or ‘instant runoff voting,’ is another name for ranked choice voting in single-winner contests). So McDaniel not only contradicted his own conclusion in his earlier study with Neely, but the earlier study had been an important corrective for one of the most frequently made mistakes made by anti-RCV political scientists – a continual failure to provide crucial context by pairing a comparative analysis of real world RCV elections with an analysis of real world plurality or other electoral methods. Unfortunately McDaniel’s earlier study does not get cited much by other researchers, and McDaniel did not even cite it in his own flawed study analyzed above. Incredibly, McDaniel cherrypicked McDaniel, even as his flawed study has been cited dozens of times. Despite being a textbook example of poor political “science,” featuring both inadequate as well as cherrypicked data, the shelf life of McDaniel’s study has been extended endlessly by other political scientists and media outlets who have cited it uncritically. Equally troubling, the Journal of Urban Affairs put this paper through its peer review process and published it despite its numerous flaws. McDaniel gets it wrong, Part II Not content with producing one shoddy, confused paper, McDaniel produced another one a few years later, here is the link: Electoral Rules and Voter Turnout in Mayoral Elections: An Analysis of Ranked-Choice Voting by Jason McDaniel. San Francisco State Univ. (McDaniel, 2019). In this paper, McDaniel extended his previous flawed research focused on San Francisco, about voter turnout and voter impact, to multiple RCV cities through the 2018 elections. In his data set he included San Francisco, Minneapolis, St Paul, Oakland, Berkeley, San Leandro and Santa Fe. He then compared their turnout in mayoral elections to non-RCV cities, and to mayoral elections in those cities held before first RCV usage, and concluded “a significant decrease in voter turnout of approximately 3–5 percentage points in RCV cities after the implementation of RCV.” But he replicated many of the same mistakes as his first study presented above. While in this study McDaniel attempted to distinguish between various factors, such as odd year vs. even year elections, competitive races vs. noncompetitive, contests with open seats and other factors, the analysis is superficial and inadequate. He attempts to incorporate so many often-conflicting variables that his conclusions are once again unsupported by the actual data, and ultimately unconvincing (this second study never underwent a peer review process). For example, McDaniel declared that for RCV cities “in elections that are more competitive than average (margin of victory less than 20%), there is no significant RCV effect on voter turnout.” Yet McDaniel is a professor in a city, San Francisco, in which the 2018 special election using RCV to fill a mayoral vacancy was exceedingly close, decided by a margin of only one percentage point, and resulted in the second highest turnout in San Francisco history for a mayoral election. Illustrating the complexity involved in assessing the critical factors in turnout, that special election was held on the same election day as federal and state offices, which tends to boost turnout. Yet more voters participated in that RCV mayoral election than voted on the same day in the non-RCV primary for governor in which former San Francisco mayor Gavin Newsom was running. Even more puzzling, in this study McDaniel inaccurately cited his own previous study from 2015 with Neely. McDaniel wrote, “Neely and McDaniel (2015) examine individual ballot image files within a natural experiment, and find higher rates of ballot errors in RCV elections compared to non-RCV elections” (emphasis added). However, we quoted from that 2015 study several paragraphs above, and in actual fact Neely and McDaniel actually concluded the opposite -- that the pattern of overvoting – which is the most common form of ballot error – is similar in both RCV and non-RCV contests. McDaniel also ignored the fact that in Bay Area RCV elections held in even years – at the same time as federal and state elections, when turnout is highest -- the “undervote” (that is, the dropoff in ballots cast for governor or mayor) has declined, which contradicts his thesis that the act of ranking ballots in RCV elections is too complex and presents a barrier for certain demographics of voters. To his credit, McDaniel actually acknowledged another contradiction in his own paper, which found a negative RCV turnout effect in some odd-year elections but not others, admitting that “may present a challenge to the theory that increased complexity [from RCV] will have a marginal negative effect on voter turnout.” But he tried to wallpaper over that contradiction by blaming it on an unlikely source -- bad election administration. McDaniels wrote, “This would suggest that the negative impact of RCV on voter participation may be alleviated by high quality election administration,” without presenting any data or even anecdotes to support such an unfounded theory. While competent election administration of any election, whether RCV or non-RCV, is crucially important, there is no credible research that supports the far-fetched notion that the quality of election administration has much of an impact on voter turnout in US elections, whether using RCV or otherwise. Upgrade to a $5 subscription The unvirtuous circle of academic research It is puzzling how McDaniel’s first study could have survived the peer review process for the Journal of Urban Affairs. The mistakes in McDaniel’s first study above should have been obvious to anyone with a basic understanding of ranked choice voting as well as elections in general, and elections in San Francisco specifically. It undermines faith in the credibility of the peer review process to think that a jury of peer political scientists did not catch the egregious errors and reject McDaniel’s sloppy research and paper. And it remains a black mark on political science that this thoroughly discredited study has been cited dozens of times by other researchers. Indeed, in our research paper it became apparent that many political scientists cite each other’s flawed research to pad their list of citations and to legitimize their own flawed research, creating an unvirtuous circle of political science. More broadly, McDaniel’s voter turnout studies, like other studies evaluating RCV’s impact on turnout, lacked a recognition that no credible opinion or research can claim that RCV increases voter turnout merely because so many voters are excited to vote for their favorite candidates instead of “lesser evil” candidates without worrying about spoilers. Instead, with respect to turnout, the advantage of RCV has always been that, in most places where it has been used, it has eliminated a pre-November primary or post-November runoff, which usually saw about half the turnout of the November general election. This is especially true during even years when there are state and federal elections on the ballot which substantially drive turnout more than local contests. Any study that does not adequately account for this non-November primary/runoff vs November general election dynamic, or odd year vs even year election factors, is simply not credible. Both of McDaniel’s studies largely failed on those grounds. Steven Hill and Paul Haughey Share Upgrade to a $5 subscription Thanks for reading DemocracySOS…your digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
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Liberty Collective, an 18,000sqft complex in Liberty Township, has deployed Atmosphere platform to overcome intelligibility issues created by its open-plan, high-ceilinged design
Lancaster County public sales: July 10, 2026
Intel Auctions conducted a public auction of real estate June 5 for Mervin and Rebecca Ann Kaufman at 339 Churchtown Road, Narvon. The 2.3-acre property sold for $575,000 to Levi
AI, science and the risks in China’s reliance on imported precision equipment
The country is dependent on overseas high-end scientific instruments, crimping use of artificial intelligence, researcher says.
Israel shared intelligence with US of Iranian plot to assassinate Trump, sources say
Israel shared intelligence with the United States that Iran had recently devised a new plan to assassinate President Donald Trump, two sources familiar with matter told CNN.
Nobel-Winning U.S. Chemist Omar Yaghi Will Move to China to Lead A.I. Institute
Omar Yaghi of the University of California, Berkeley, will head an initiative to apply artificial intelligence to the discovery of new materials.
Meta’s Zuckerberg Says Exploring AI Cloud Business Makes Sense
Meta Platforms Inc. needs all the computing power it can get, Chief Executive Officer Mark Zuckerberg said, but in a market starved for resources necessary to run and develop artificial intelligence products he’s also considering whether some of Meta’s AI infrastructure could be more valuable if rented to outsiders.
Microsoft expects more Windows security updates from AI-discovered flaws
Microsoft says Windows users should expect to see an increase in security updates as the company increasingly relies on artificial intelligence to discover vulnerabilities in its codebase.
Paylocity makes another acquisition to expand AI tools
Paylocity, a Schaumburg-based specialist in online payroll and human services tools, is expanding its artificial intelligence capabilities with an acquisition announced today.
GTA Online The Kortz Center Heist Releases Next Week, New Details Revealed
The next GTA Online update, The Kortz Center Heist, has just been revealed by Rockstar Games along with a release date. The company formally announced on Thursday that they’d be releasing a …
Three New College of Arts and Sciences Masters Programs Will Take Students to the Cutting Edge
School launches graduate degrees in quantum computing, data-driven economics, and artificial intelligence
How to Bring More Data Science to YouTube and Creator Media
I am constantly writing about the challenge facing agencies and brands when in comes to YouTube. Is it TV? Social video? Search? Commerce? Do you fund it from all of those respective budgets, and measure it using all their respective metrics? Sean Odlum, Chief Product Officer at Tinuiti, says it may not make sense to try and “bucket'“ YouTube. “You kinda gotta treat it as its own thing,” he said. “Years ago, we had debates [along the lines of] ‘what is this?’ Ultimately we decided, it’s YouTube. It is hard to categorize because it is so protean.” Which ultimately means that almost every part of a media department or marketing group will likely touch YouTube in some fashion. And that it probably needs its own sets of metrics and measurement tools. At Tinuiti, that need has led the agency to develop the YouTube Intelligence Suite, which aims to help brands optimize YouTube campaigns while using all the traditional marketing tools they are used to, such as MMMs. “I wouldn’t say there is a YouTube playbook,” Odlum said. “[For media planners] there is this vast bubbling ocean, so where do you start?’ A lot of brands and agencies struggle.” “You don’t want to just brute-force it—spray dollars everywhere and eventually learn. You want to start intelligently and then learn iteratively.” The problem, Odlum and his team have found, is that “brands have largely defaulted into demand generation campaigns because they’re easier to measure.” However, “you can really build your own content ecosystem around these trusted experts.” Check out the full interview here: Thanks for reading Next in Media! Subscribe for free to receive new posts and support my work. Subscribe
Princeton collaborators celebrate start of observatory's ‘ultra-high-definition time-lapse record of our Universe’
Princeton researchers have played a major role in developing software pipelines to process the massive amounts of data the Legacy Survey of Space and Time generates as it scans the cosmos.
Big Business is Leasing Record Office Space in Mamdani’s New York
Some of the biggest names in banking, law and artificial intelligence are expanding their footprints in Manhattan and Brooklyn office towers.
Mass-produced science is coming. What happens to scientists?
Artificial intelligence may soon enable researchers to generate high-quality science at a previously unimaginable speed. For science consumers—the public, medical patients, technology users—the likely effects will be positive. For scientists, the effects will be as disruptive as industrial mass production was for artisan manufacturers.
New satellite system could detect nukes in space
‘You can fake intelligence, but you can’t fake physics.’
AI helped scientists discover two new superconductors, bringing them closer to a room-temperature breakthrough that could change electronics
Artificial intelligence is now fast becoming an important component in scientific investigations, and its recent achievement may have very significant effects on the advancement of technology. Scientists devised a way to utilise artificial intelligence in scientific research, which has not only resulted in the discovery of two new superconductors, but has also expedited the process of discovering even more superconductors.
Douglas Elliman Bets on AI to Reinvent Brokerage Business
Luxury real estate brokerage Douglas Elliman Inc. is betting artificial intelligence can expand its business beyond buying and selling homes.
AI is changing mortgage lending. Business intelligence is making it possible.
ICE's Chris McEntee discusses how AI is changing mortgage business intelligence, why data governance matters and how lenders can build AI-ready operations.
Only 48% of current radiologist job listings include a salary estimate
That’s according to a new analysis from radiology artificial intelligence developer Kirill Lopatin, released on July 7.
Experts warn Trump is playing politics with US intelligence
Meta Launches New Image Generation Tool for Consumers and Businesses
Meta has begun rolling out an image generation model available in Meta AI. Muse Image is the first such model developed by Meta Superintelligence Labs,
Palm Beach County students gain hands-on business experience at entrepreneurship forum
Nearly 300 students in Palm Beach County participated in the "Mind Your Business" forum, which focuses on STEM, media, artificial intelligence, and trades.
AI is already reshaping US politics at every level
Artificial intelligence is barging into the workplace and transforming the battlefield. Now, it’s coming to the ballot box, promising to rewrite the DNA of politics. Driven by a flood of Silicon Valley money, AI has emerged as one of the biggest financial forces in this year’s U.S. elections, fueled by hundreds of millions of dollars […]
Intelligent Computing appoints Philip S. Yu and Osmar R. Zaïane as new editors-in-chief
Intelligent Computing, a Science Partner Journal co-founded by Zhejiang Lab and the American Association for the Advancement of Science(AAAS), has appointed Philip S. Yu and Osmar R. Zaïane as its new Editors-in-Chief. Philip S. Yu and Osmar R. Zaïane succeed the journal's founding Editors-in-Chief at a pivotal stage of development, as Intelligent Computing continues its rapid growth as an international open-access journal dedicated to advancing the convergence of intelligence and computing.
Argonne team’s ChemGraph unlocks AI for chemistry and materials science
Researchers at Argonne National Laboratory have developed a framework, ChemGraph, that uses artificial intelligence to help nonexperts access computational chemistry expertise.
Oracle Named a Visionary in 2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms
Oracle Named a Visionary in 2026 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. In our view, this reflects the progress we are making as analytics and AI become more connected.
Health insurers’ AI vision
Health insurers are increasingly embracing artificial intelligence as part of their business models, bullish on the technology’s potential to revolutionize care and drive down costs.
Apple Intelligence Home Features Require 2TB iCloud+ Plan in iOS 27
Using Apple Intelligence camera features in the Home app will require an iCloud+ plan starting at 2TB, according to Apple. Apple shared the detail in its notes for the third macOS Golden Gate beta that was released today. In iOS 27, iPadOS 27, and macOS 27 Golden Gate, the Home app is able to generate written summaries for motion alerts from HomeKit Secure Video cameras.
Apple adds new popup for AI features that send data to Google Cloud
Apple now uses Google servers to power some of its new and upcoming AI features, and the company is using...
Bailey campaign embraces artificial intelligence in new era of politics
Artificial intelligence-generated images and videos are ushering in a new era for political campaigns and Republican Darren Bailey is leading its introduction in Illinois during his second run for governor.
Apple and Intel Could Be Going Into Business Together. Which Is the Better Buy?
Both tech giants are trading at premium valuations.
Clarivate Announces Sale of Life Sciences & Healthcare Segment for $600 Million
/PRNewswire/ -- Clarivate Plc (NYSE: CLVT) ("Clarivate" or the "Company"), a leading global provider of transformative intelligence, today announced it has...
Why AI Doesn’t Think, Cannot Reason, Isn’t Intelligent and Will Never Achieve Consciousness
Recent public comments made about AI suggest that Americans have difficulty with the implications of linear time. This is odd given that its conception is largely Western and is centered on the clock time used to coordinate capitalist employment. The conceptual difficulty regards sequencing, or plans for future actions. But it also involves the distribution of profits. 100% of the capital equipment used in Western economic production was produced by workers. So, why does the resulting product belong to financiers rather than those who produced it?
B.I.D. Academy demonstrates how artificial intelligence can transform small businesses
BELTON — For years, artificial intelligence has largely been associated with chatbots, writing assistance and internet searches. But during the second session of Prairie View A&M University Extension’s Business Innovation
Superintelligent AI in space could explain the Fermi Paradox
Why haven't we found evidence of advanced aliens? It could be that they've outsourced cosmic exploration to superintelligent AI, a new paper suggests.
Thomas Jefferson’s Embrace of Intelligent Design
Today on Independence Day, it is appropriate to review the sources of our rights as citizens.
Are the ‘MANGOS’ Stocks Already Turning Soft?
Wall Street loves an acronym. The latest one stands for Meta, Anthropic, Nvidia and three other companies at the center of the artificial intelligence boom.
‘Who Should I Vote for?’ Voters Turn to A.I. Before Casting Their Ballots
It takes effort to be an informed citizen. Artificial intelligence tools offer an alluring shortcut — but they’re not without risk.
AI is already reshaping US politics at every level
Artificial intelligence is barging into the workplace and transforming the battlefield. Now, it’s coming to the ballot box, promising to rewrite the DNA of politics. Driven by a flood of
iPhone 18 With 9GB RAM Still Won't Support Two New iOS 27 Features
The lower-end iPhone 18 and iPhone 18e will be equipped with 9GB of RAM, up from 8GB in the iPhone 17 and iPhone 17e, according to supply chain analyst Ming-Chi Kuo. In a social media post, Kuo said the 1GB increase in RAM will ensure that Apple Intelligence features continue to run smoothly on the pair of devices. The higher-end iPhone 18 Pro, iPhone 18 Pro Max, and foldable "iPhone Ultra" will each have the same 12GB of RAM as the iPhone 17 Pro models, added Kuo.
Could Your AI Content Land Your Business In Court?
Generative AI is helping businesses create content faster, but it is also creating new copyright and intellectual property risks that many companies do not understand.
Meta's Watermelon AI model has caught up to GPT-5.5, Alexandr Wang says
Meta's superintelligence chief says its upcoming Watermelon model now matches GPT-5.5 on key AI benchmarks.
Artificial intelligence: Yann LeCun works on more flexible AI
Leading AI researcher Yan LeCun has a start-up which is developing a more flexible AI system.
Zuckerberg said AI agent progress has been slower than expected
Superintelligence will take time, Zuckerberg tells Meta staff, as the company makes its AI training program opt-in after a data leak.