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Peoples Could Become Rangers’ Future Setup Man for Latz
Armed with a 96-mph heater and elite contact suppression, Ben Peoples possesses the raw velocity and metrics to anchor a dominant late-inning bridge for the Texas Rangers.
New Apple TV 4K Features 'Whole Room Audio' With Four HomePods
The new fourth-generation Apple TV 4K announced last week can connect to up to four HomePods in front-left, front-right, rear-left, and rear-right positions, enabling an all-Apple surround sound system for home theater setups. There is also a related new feature that has not received as much attention: Whole Room Audio. Apple says the Whole Room Audio feature spreads sound evenly across four HomePods in a room.
QLED, Mini LED or standard LED? Here are 5 43-inch TVs to compare before upgrading your home entertainment setup
New Delhi, Oct. 18 -- A 43-inch television can be a practical fit for a bedroom, a smaller living room or a home where a larger screen simply will not work. But screen size is only one part of the buying decision. A conventional LED panel, a QLED screen and a Mini LED display can deliver different…
Ubisoft plans cuts at German studios, adding to wave of workforce reductions
Ubisoft is planning to reduce its workforce in Germany, where it operates a trio of studios, by about 100 workers, Game File has learned. The company wants to offer employees buyouts to, should enough people accept, avoid having to lay anyone off. “In Germany, we initiated discussions with the Works Council last week regarding a proposed voluntary departure plan across Ubisoft Dusseldorf, Ubisoft Berlin & Ubisoft Mainz,” a company rep told Game File. A “works council” is a union-like group representing employees. “The voluntary plan is the primary measure being proposed to support the intended organizational changes,” the Ubisoft rep added. The company declined to confirm the scale of the potential headcount cut. Of the impacted studios, Mainz might be the best known to the public. It leads development of the Anno series and shipped the well-reviewed strategy game Anno 117: Pax Romana in November 2025. Berlin and Dusseldorf operate as support studios within Ubisoft’s creative network. Berlin recently supported the development of Rainbow Six Siege and the Rayman Legends Retold remake. Dusseldorf also contributed to those projects, as well as The Settlers and Ubisoft-branded escape rooms. Dusseldorf is the biggest of the three studios, with some 400+ workers, compared to just over 100 at the other two, a source familiar with the reductions and the teams told Game File. More than half of these new reductions of about 100 people are expected to happen at Dusseldorf. The planned cuts were announced at a town hall for the German studios on Tuesday of last week. In an email follow-up, the studio group’s managing director, Benedikt Grindel, said the cuts were intended to “best position our German studios for the future... with a clearer focus on their role, capabilities and organizational setup needed for the work ahead.” The email was an echo of the past. In January 2025, Grindel had emailed the Ubisoft developers in his region (or studio “zone”) to explain that a round of 185 cuts at the time, including about 65 at Dusseldorf, were “essential to improve our operational efficiency and ensure the long-term sustainability of our studios, the zone and the company.” A half-decade of continued job cuts Ubisoft has been aggressively cutting its headcount for years. At the end of September 2022, it had 20,729 workers. By the end of March 2026, that total was down to 16,590. Studio management is trying to trim costs as it grapples with a changing industry and a drought of releases, let alone hits. The company announced earlier this year that it had reduced its costs since 2022 by “nearly €325 million” ($362m) and planned to lower them through 2028 by another €180 million ($200m). In June the company said it was closing down its Winnipeg and Belgrade studios and cutting roles in its Barcelona team. Even commercial and creative success hasn’t spared studios from this ongoing company-wide contraction. As Game File was nailing down details around the proposed cuts in Germany, Ubisoft management was informing workers of cuts in its Singapore studio, which shipped a hit remake of Assassin’s Creed IV: Black Flag this past July. Some 70 positions in Singapore are being eliminated “to align the studio with upcoming production needs,” per a company rep’s statement to Game File. In early 2024, a large team in the Singapore studio launched the multiplayer pirate game Skull & Bones. It performed poorly but has been supported with regular content updates since. Many of Ubisoft’s studios around the world are heavily subsidized via regional grants and tax breaks. Singapore had been among them for years, but received no such local assistance in the 12 months ending this past March. News of the Singapore cuts broke today alongside word that Ubisoft is also proposing the closure of RedLynx, pending negotiations with officials. The Finnish studio behind the motorbike series Trials was founded in 2000 and sold to Ubisoft in 2011. As reported by VGC (and corroborated by Game File), Ubisoft management told employees it could not come up with a new, sustainable assignment for RedLynx. The 2025 workforce at Ubisoft Dusseldorf were straight-up cuts. This time, Ubisoft is hoping the reductions at its trio of German studios will largely come from workers taking a payout to leave. The company offered such voluntary dismissals at its Massive Entertainment studio (The Division) a year ago. For the German studios’ buyouts this time around, Ubisoft and the Works Council had discussed a formula that’d pay a worker’s monthly salary multiplied by 1.5 and by the number of years they’ve worked at the company, according to Game File sources. The formula is still subject to negotiations with the Works Council and has not yet been part of an official offer to workers. It could be adjusted up or down, and it could be supplemented with additional bonuses. Asked about the floated payout formula, a Ubisoft rep told Game File, “The terms of a potential voluntary departure program remain subject to negotiation with employee representatives. No final agreement has been reached, and we won’t comment on specific proposals while discussions are ongoing.” Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: Epic’s AI adventures Epic Games (Fortnite, the Unreal engine) is all-in on using AI to try to transform the way it makes video games and game-making tools. It’s leaders appear to be undeterred by any resistance among gamers and some game developers around generative AI—and instead emboldened by advances, particularly in AI-assisted programming. A recap of the last three days: On Monday, Bloomberg reported that Epic management told workers last week that development of an upcoming game combining Star Wars and Marvel characters would be “AI first.” Employees would be expected to use AI models such as Claude to code the game. A manager told Epic’s developers there would be “[n]o more hand-written code” and that art for the game would be “generated with full AI workflows,” per the outlet. Just ahead of that story running, Epic founder Tim Sweeney tweeted: “We have a huge pivot underway here at Epic, moving developers around to retool for maximum AI acceleration. The aim isn’t to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff, and to bring the benefits to all teams using Unreal.” In a follow-up, Sweeney predicted that most game development processes would be at least three times faster a year from now than they were in January 2026, thanks to AI. To a person on X who told him he was failing to read the room, Sweeney said: “Much of the room wants it to be 2016 again, but it’s not. Our job, as the provider of tools and technology to much of the industry, is to design for the present that is and the future that will soon be.” On Wednesday, Epic announced it was releasing a faster launcher for its Epic Games Store marketplace. It did so by stating in a blog post as clear as could be that the launcher is an AI-enabled, vibe-coded project: Programming is hard. So, instead of doing that, we vibe coded a new Epic Games Launcher that’s way faster and more responsive than the current one, and has a new look. Programming is hard? That was unexpected phrasing from a company founded by a legendarily great programmer. Back in 2011, Sweeney told me that he’d picked up programming quickly as a kid and rejoiced at the power it gave him. “I could look at any program that anybody else had written and, with enough effort, build something cooler.” Item 3: The Xbox Labs experiment (and one of the people behind it) Microsoft’s Xbox division, which is flooding the zone with announcements lately, yesterday revealed a new internal tech-tinkering team called Xbox Labs. In the words of Xbox boss Asha Sharma Labs is “a small group of game makers, engineers and scientists whose job is to turn emerging ideas into things our players and developers can experience.” Conventional wisdom coming out of the announcement is that Labs is a team that’ll focus on ideas driven by generative AI. In her announcement, Sharma cited some of the dizzying achievements in tech and gaming over the past month as AI agents and other AI tools have been deployed to swiftly figure out how popular games work, then rebuild them and mix them up. She mentioned seeing ”games rapidly decompiled and rebuilt to run on hardware they were never originally designed to support” and said “[p]erhaps more surprisingly, we’ve seen many of the biggest games in the world have been remixed into the source code of another.” (Minecraft plus Elden Ring, for example, or Fortnite + Super Monkey Ball + Overwatch + Diablo + others.) Sharma also cited the work of Windows PC games being ported to run in browsers, a seeming reference to a recent AI-assisted fan port of Halo. Or perhaps Call of Duty or GTA. Sharma didn’t use the specific term “AI” in her memo, but she came close, citing AI “agents” and their potential for game-making tools that Labs could help craft: I think XBOX has an important role to play here. Coding became the first major workload for agents because they can write, run, and test software. Games share many of those same properties, and people spend more than 72 billion hours a year playing XBOX games, roughly five times the estimated time spent writing code worldwide. We’ve spent 25 years learning how to make great games, and I want our game makers to help shape what these new technologies make possible. As we learn, we’ll share the tools we build with developers across the industry, just as we always have. When I asked an Xbox rep if Labs was an AI-centric team, they said genAI was not the focus, describing it as having a broader mandate for using new tech in new ways in gaming. As an example, they pointed to Xbox’s recently launched disc-to-digital gaming usage rights program. Microsoft didn’t specifically name anyone involved full-time in Xbox Labs yesterday, but on social media and LinkedIn, I spotted Adrian Mato IDing himself as leading the creatio of tools at Labs and talking up the launch. Mato first caught my attention in late September, when he said on X that he was “starting to build a new team at Xbox focused on products and tools for how games get built and distributed as agentic tools become more capable.” At the time, he framed AI-based tools as a supplement to traditional game dev tools. “I don’t think we need to replace them,” he said. Since then, he’s publicly shown interest in AI and in games. He’s recently spent some of his X feed marveling at the power of AI agents and praising the lighting in the latest Gears of War. Following the Labs announcement yesterday, he enthused about the Xbox Labs’ stylish landing page. He wrote: “We built some fun tools to art-direct shaders in real time, experimented with interactive ASCII art, and sprinkled in lots of tiny details. “Move your mouse to leave a colorful trail that reveals the original footage, or interact with the video to trigger bursts of particles. “A lot of love went into making it all feel just right. “More to come”
Here’s How Matthew Knies Is Doing Since Maple Leafs Trade
The Toronto Maple Leafs traded Matthew Knies to the Columbus Blue Jackets the day before the Leafs played their season opener. It was the kind of setup that was bound to draw maximum attention, and it meant Knies had tons of immediate eyes following him to see how he’d do as he got rolling with […] The post Here’s How Matthew Knies Is Doing Since Maple Leafs Trade appeared first on HEAVY.
New Apple TV 4K Supports Surround Sound via Four HomePods
As was rumored prior to today's announcements, the new Apple TV 4K can connect to up to four HomePods in front-left, front-right, rear-left, and rear-right positions, enabling an all-Apple surround sound system for home theater setups. You can connect four of the new HomePod mini 2 speakers to the new Apple TV 4K, or you can mix and match pairs of HomePod mini 2 and full-sized HomePod 2 speakers, so long as the front and rear pairs of speakers match.
The Apple TV 4K Gets Siri AI, an A19 Chip, and a $299 Price Tag
Apple also updated the Apple TV 4K today. Last updated in 2022, the Apple TV 4K’s fourth-generation update is focused on bringing an improved surround sound experience to the Apple TV, along with Siri AI. From the outside, the new Apple TV 4K looks like the old one: a nondescript black box that sits under
Updated HomePod mini 2 comes with new colors and surround sound option
Apple has unveiled its first-ever update to the HomePod mini, concentrating on how it can be part of a smart home setup alongside devices like the Apple TV 4K.
The WiiM Bar Has Dolby Atmos And Smart Speaker Features For Under $500
The new WiiM Bar is the brand's first attempt at a soundbar and it includes Dolby Atmos support and the possibility to expansion into a full-blown home theater setup.
Leak Details iPhone Features for Apple's LG Home Accessories
Smart home accessories that Apple reportedly helped LG develop could offer iPhone proximity controls and a way to begin setup before the devices have power, according to findings shared by the leaker known as "pdfu". The findings concern the upcoming LG-branded accessory range that Bloomberg revealed earlier this week. The lineup reportedly includes a thermostat, temperature sensor, deadbolt lock, wired video doorbell, and several security cameras.
Googlebooks could soon get one of Apple's best ecosystem tricks, but do it better
Google appears to be testing Phone Unlock for Googlebooks, with Android 17 QPR3 showing setup flow, security warnings, and unlock behavior.
Zinédine Zidane worried about France’s lack of full-backs
It was Didier Deschamps’ concern, and it is now Zinédine Zidane’s. The former complained about the lack of full-back options in the France setup and called for an evaluation of how to be more eff...
9 Of The Best Sound Systems For Your Home Theater Setup
Buying a home theater sound system can get really expensive really fast, but you don't always have to spend thousands to get something passable.
Don't throw away your old router — Do this instead
An old router has lots of uses that extend its life, even once you replace it. Try these methods to see what it can do in your new setup.
National Institutes For Quantum Science And Technology Develops Current Sensing
Researchers at the National Institutes for Quantum Science and Technology, in collaboration with AIST and the Institute of Science Tokyo, develop a current comparator using diamond quantum sensors to accurately evaluate both AC and DC current ratios with one setup.
The GL.iNet Mango 2 Is A Pocket-Sized Wi-Fi Travel Router With VPN
With its slim design, easy setup, VPN support and multi-device connectivity, the Mango 2 is made for travelers who need reliable connectivity in a portable form factor.
Padres Could Make Unusual Ethan Salas Decision for MLB Playoffs
The San Diego Padres have some difficult postseason roster decisions to make, including whether rookie catcher Ethan Salas will be part of an unusual three-catcher setup.
🧩 Grêmio puzzle: Renato tests options to solve problem
Grêmio coach Renato Gaúcho has been using the FIFA break to test options and find the best setup for the midfield.The Tricolor manager knows he will not be able to count on the suspended Noriega in ...
Jon Gruden Questions Steelers’ Offensive Line Chaos Amid Struggles: ‘Why?’
Jon Gruden has seen plenty of offensive lines during his coaching career; however, the Pittsburgh Steelers’ current setup has left him genuinely puzzled. The former head coach watched the unit shuffle players between positions through the offseason and into the regular season, and now the results are becoming harder to ignore. The Steelers entered the […] The post Jon Gruden Questions Steelers’ Offensive Line Chaos Amid Struggles: ‘Why?’ appeared first on Gridiron Heroics.
A holiday circus show opens an Oklahoma amphitheater, which includes a club built in partnership with Troy Aikman.
The preview uses a nearly 5,000-seat theater setup; full 12,500-seat capacity is anticipated for summer 2027. Tickets go on sale in coming weeks.
Motorola shows off its Signature 27 flagship, and there's good news for audiophiles
Motorola has shared yet another teaser for its flagship Signature 27, giving us a glimpse at its full rear design, speaker setup, and more.
College GameDay headed to Knoxville for Tennessee-Texas matcup
KNOXVILLE, Tenn. (WJHL) — ESPN’s “College GameDay” is headed back to Rocky Top for Tennessee’s matchup against No. 1 Texas. The show will broadcast from Ayres Hall beginning at 9 a.m. Saturday before moving inside Neyland Stadium at 11 a.m. for its final hour leading up to kickoff. The setup will give a national audience […]
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.
Details: Real Madrid’s plan for Man United sensation JJ Gabriel
An insight into the plans of those behind the scenes at La Liga giants Real Madrid to integrate JJ Gabriel into the club’s setup has come to the fore online.This of course comes amid an ongoing purs...
New iPhone 18 Pro Models Will Have Day One Update
Customers receiving an iPhone 18 Pro, iPhone 18 Pro Max, an Apple Watch Series 12, or an Apple Watch Ultra 4 tomorrow will need to install a software update right away. The iPhone 18 Pro and iPhone 18 Pro Max ship with iOS 27 variants with a 24A427 or 24A8428 version number. The launch version of iOS 27 is version 24A437, so if you're getting an iPhone 18 Pro, expect a software update during the setup process.
Meta now lets AI agents handle the boring parts of WhatsApp Business setup
A new WhatsApp Business MCP server lets developers use AI coding agents like Claude, Cursor, Codex, and ChatGPT to handle setup, messaging templates, testing, and troubleshooting.
Our top iPhone 18 Pro accessories to upgrade your setup
We are taking look at some of the iPhone 18 Pro accessories we are picking up for ourselves this year...
SFA confirm role within international setup for former Celtic midfielder
Former Celtic winger Jonny Hayes will take up a new role within the Scottish FA’s youth set-up. The Irishman, who spent the majority of his playing career in Scotland, will combine his role with Cel...
Barcelona want to renew the contracts of another 4 players
The board at La Liga giants Barcelona are ready to reward four more young members of the club’s first-team setup with improved contract terms.That’s according to Mundo Deportivo, who have this wee...
GTA 6 DualSense pre-orders LIVE — how to secure your limited-edition PS5 controller today
Add some Vice City to your PS5 setup
Community Partners Offer Reduced-Cost Rabies Clinic
Regional clinics are setup to support animal health ensuring pets remain protective.
Mod Revives Multi-GPU Gaming With Dedicated DLSS 5 GPU for Impressive FPS Gain
If you were around during what many consider the golden age of PC gaming, back when SLI was still possible, and, going back even further, when gamers put dedicated PhysX cards into their PCs, the latest trick shown off by modder, Marcelo Guibout, on YouTube. Guibot showed off a gaming setup using...
I won't let a new Android phone connect to Wi-Fi without these 7 hidden settings enabled
A few simple tweaks that made my Android device virtually bulletproof
Big Ten Explains Michigan’s Controversial Hail Mary Setup
The Big Ten explained why Michigan received one final second before Bryce Underwood’s game-winning Hail Mary against Western Michigan.
10 Desk Gadgets Under $100 That Deserve A Spot In Your Home Office
While big-ticket items get all the attention, there are also some relatively affordable desk gadgets that you can buy to upgrade your current setup.
Apple Is Testing a Four-HomePod Surround System, Code Suggests
Apple appears to be working on some major new HomePod home theater features, including a four-speaker surround sound system and a new "Party Mode," according to code found in audioOS 27 beta 8, and shared on the MacRumors forums by member pdfu. References in the software for the second-generation HomePod suggest the ability to tune for a setup with front-left, front-right, rear-left, and rear-right HomePods.
AI suggests new physics experiments that could outperform human-designed setups
Research means asking questions of the universe. For centuries, clever minds have advanced science by devising ingenious experiments designed so their results reveal something about the laws of nature ...
World Cup coach reappointed two months after stepping down
Carlos Queiroz has retaken the reins in the Ghana setup after stepping down following their World Cup elimination
New OnePlus 16 leak once again points to major camera upgrade
Digital Chat Station, a reliable Weibo leaker, has once again reported on the camera setup of the OnePlus 16. In the latest leak, the tipster once again hints that the upcoming flagship phone will see a major upgrade over its predecessor.
ASUS Republic of Gamers Announces ROG Flux Charger Dock
ASUS Republic of Gamers (ROG) today announced the ROG Flux Charger Dock, a premium all-in-one charging and connectivity hub for gamers and creators. With 260 watts of total power output, it easily turns a laptop into a full gaming setup with an external monitor, mouse, and keyboard. A built-in...
Gurman: iPhone Ultra Wows Early Testers, Except for Its Camera
Apple's upcoming foldable iPhone Ultra is winning over the few people who have had hands-on time with the device, though the camera setup may leave some users wanting, according to Bloomberg's Mark Gurman. Writing in his latest Power On newsletter, Gurman says people who have used the device – which is reportedly referred to internally as the iPhone Ultra – like how it fits in your pocket, as well as the feel and durability of its hinge mechanism.
Cake Fest ROC returns to Highland Park, highlighting local bakers and small businesses
Cake Fest ROC returns on Saturday to Highland Park’s purple arches with a Bridgerton-inspired cake picnic. Bring a dessert, sample a communal spread, shop local vendors, and snap photos amid luxury picnic setups.
AMD Ryzen 7 5800X3D 10th Anniversary Review
The AMD Ryzen 7 5800X3D 10th Anniversary Edition brings back the legendary CPU known for its revolutionary 3D V-Cache tech. At $340, it's a compelling option, especially if you already have an existing AM4 setup. As bonus, AMD includes a Carbice thermal pad for enhanced cooling, which we ran through 450 heat cycles to confirm performance.
We Think We Found ‘Human Printer’ Natalie Harp’s Printer Setup. It’s Bulky
A fairly bulky printer, and a totally unnecessary backup battery. Why?
amBroadway | Tom Felton extends ‘Harry Potter’ run for final time, reality stars to join ‘Just in Time’ cast and more
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The Science Behind the AI Panic Is Shakier Than You Think
A column by Sascha Lobo Is AI making us dumb? So asked DER SPIEGEL on its cover a while ago. After a few weeks of recovery and a therapeutic intervention with the help of my AI, I feel able to respond. That’s a bit unfair, of course; the article itself is more nuanced than the loud cover, the image of a schoolkid with dull prompt questions, or the subtitle: “AI is conquering the schools, and educators fear a disaster.” The short answer to “Is AI making us dumb?” is: no. The long answer is more interesting, and even carries a preliminary glimmer of the spectacular. Unfortunately, it requires a detour into the sphere of artificial intelligence, into the mogul-field terrain of technology assessment, the attention economy, and the destructive virus of cultural pessimism. Along with narrowing the scope to AI’s effects on education and work rather than on intelligence. Because the honest version of the question would be: Does AI help us learn and work, or not? Generative AI, which set off the still-ongoing hype with ChatGPT, has only existed in relevant distribution since late 2022, early 2023. For a technology-driven transformation of people and society, that is extremely short. For that reason alone, research is still in its infancy. And technology assessment is not a fast discipline anyway. Prominent voices from Elizabeth Eisenstein to RAND to Tom Wheeler say we still cannot conclusively judge the consequences of the printing press. Its invention is a mere 580 years back, and some scholars would rather not circulate assessments that might have to be retracted in two or three hundred years. We’re Going Through Growing Pains A phenomenon that already caused upheaval in social media research makes serious assessment of AI’s consequences even harder: the “moving target” problem of LLM-ology, as the linguist Sean Trott called it in 2025. AI develops so quickly and so unpredictably that researchers often end up studying snapshots of the past. There are concepts, from morphological analysis to anticipatory governance, for keeping research, planning, and regulation halfway meaningful anyway. But even with those, universally valid statements are rare. DER SPIEGEL - The German View is a reader-supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber. Subscribe We should therefore treat findings about the interplay between humans and AI as far more procedural and situational. Unfortunately, this challenge comes at the worst possible time. We are going through growing pains: AI’s everyday impact has grown very large very fast, and with it the longing for guidance. Annoyingly, the body of solid knowledge has not exploded along with it. Experts cannot be moved to broad consensus on even banal statements about AI. Sascha Lobo, born in 1975, is an author and strategy consultant focusing on the internet and digital technologies. Together with Jule Lobo, he explores the debates of the day in the podcast “Feel the News – Was Deutschland bewegt” (”What Moves Germany”). Nvidia CEO Jensen Huang says software developers are dying out. Bill Gates considers coders one of only three professions that will survive the AI tsunami. Top tech economists find virtually irrefutable arguments both for and against an AI bubble. The same naturally applies to the structurally youth-hostile debate over whether AI is good or bad for young people. The gap between the demand for insight and the supply of solid knowledge creates an orientation vacuum. This vacuum of AI cluelessness is filled, as the attention economy described by Georg Franck in 1998 would have it, with half-knowledge (funnily enough, often AI-generated), marketing, and self-marketing. After all, infinite money is at stake, along with academia’s best current shot at global fame. But this iridescent froth of interpretation operates more by the algorithmic principles of the digital public sphere than by seriously earned insight. That is why dramatized, fear-feeding claims about AI are so promising. It tempts parts of academia into distorted drivel, and parts of the media then sensationalize the published drivel once more. Was the Research Aimed at a Desired Result? How badly this can influence academia and public perception is demonstrated by one of the most-discussed studies on AI’s effects: “Your Brain on ChatGPT.” The MIT study by Nataliya Kosmyna also gets plenty of space in the SPIEGEL cover story. What was measured and interpreted: lower brain activity in people who write with AI assistance, compared to people who only google or write without any tools. As is common with preprints, the study has not yet been peer-reviewed, and it contains substantial weaknesses that experts have sharply criticized. The first round had 54 participants in three groups, the second only 18, who reportedly also came from MIT’s own orbit. There was no preregistration (committing in advance to what you want to find out with which data). In their analysis, Stanković et al. even discovered an opposite effect that the study does not further explain. Some measurement data has not (yet) been published. And the EEG analysis method used is considered too imprecise to support such far-reaching conclusions. The biggest criticism, though, is the suspicion of an activism-driven study. In an interview with Time, lead author Kosmyna said she published the study immediately, rather than after full peer review, because she feared politicians might otherwise decide to put ChatGPT in kindergartens. She considers that absolutely harmful. It is legitimate to hold such a view. It just seems unscientific to approach a study with it, and then to design the setup so that the chance of a fitting desired result remains as high as possible. Ideologies Collide It is not easy to separate genuine AI insights from studies that trivialize and weaken well-founded AI criticism. The same goes for the opposing, AI-enthusiastic narratives, because the pro-AI side works against it with billions in resources. Ideologies collide, fed by egos, PR strategies, moral posturing, and once-in-a-lifetime opportunities. Doomsday marketing makes the search even harder: AI companies can profit from warnings about the dangers of AI, whether through the notoriety of apocalypse narratives or because, in some target groups, danger translates into power. Some seemingly negative findings are therefore quite welcome in the AI industry. If you try to get at the findings presumably less influenced by interest groups, the picture in education seems relatively clear: AI can improve educational outcomes when the right AI is used the right way, namely pedagogically. Simply dumping an AI chatbot into a classroom, by contrast, accomplishes little. Huge surprise. But something else is also obvious: whether they are allowed to or not, kids use AI for school, which is why the controlled integration of AI tools into education is, in the medium term, entirely without alternative. In the world of work, the landscape of findings is more complex and requires more differentiation. A series of serious studies points to an AI effect that suits neither the alarmists, regulation fetishists, and AI opponents, nor the trillion-dollar corporations with their armada of paid scientists, PR professionals, and ecosystems: working with AI helps the inexperienced (at least for now) considerably more than it helps the pros, in certain fields of work, and provided they know how to use it correctly. Missing Domain Knowledge Among the experienced, the professionals, and the high flyers, by contrast, despite frequent time savings, partially negative effects and new problems are emerging. Take the jagged frontier problem: AI solves task A brilliantly and fails completely at task B, even though both look similar even to professionals. Or the verification-cost problem, in which AI’s greater productivity gets eaten up by the enormous effort of checking its output. Or the illusion of competence, because AI makes new domains seem easily penetrable, until you painfully discover that deep domain knowledge is missing. Taken as a whole, the effects of working with AI do lean positive. But the promise that AI works as a turbocharger for everyone and boosts practically everything simply refuses to materialize. The AI magic the world has been feeling since ChatGPT arrived in late 2022 has so far barely shown up in most companies’ numbers. The consulting firm McKinsey has coined a term for this, the “gen AI paradox,” and believes that work processes and corporate structures would have to be rebuilt quite fundamentally to realize AI’s benefits at scale. Reuters just reported that only 3.3 percent of Microsoft’s customers have subscribed to the AI package Copilot. That may be down to the product; in other areas we continue to see soaring successes and new AI triumphs. But after the first quarter of 2026, disillusionment is the word for all too many AI projects at traditional companies: because the promised revolution of AI agents has so far failed to arrive or been postponed, and because of the leveling effect that many of the studies cited here suggest. Against Inequality The societal effects, on the other hand, appear rather encouraging. Many previous technologies operated on the Matthew principle, named for the Gospel verse about giving to those who already have: they tended to reward the more competent and more privileged. AI, however, seems more often to have an equalizing effect once a threshold of access and education is crossed. Some anecdotal insights point in this direction, for example, how an unemployed man in Leipzig successfully defended himself in court in 2025 against fraud accusations from Germany’s federal employment agency — without a lawyer, armed only with ChatGPT. The AI made mistakes and cited invented court rulings, but in the end the man walked away unpunished. And a key capability of artificial intelligence is its capacity to learn: set up correctly and fed with data, it can keep getting better. It is a question of time, or more precisely of AI innovations and training data, until even free AI chatbots write better legal briefs than law graduates with perfect exam scores. Whether that will make anyone dumb is something the world’s press will surely inform us of in due time. Subscribe Leave a comment
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Science can serve dark as well as light
I’m not sure how many of you are watching “Star City,” Apple TV’s spin-off of its “For All Mankind” program (2019-present), but it’s one of the better sci-fi series I’ve seen in a while, with an impressively dark political message. (Some light spoilers below.) For the uninitiated, “For All Mankind” presented a slightly tweaked history of the U.S. space program in which it was the USSR that landed on the Moon first in 1969, and shortly thereafter put a woman cosmonaut on the lunar surface. This sparks an ongoing space race that, in the original series, yields a lot of benefits for humanity. President Nixon’s insistence on a female astronaut corps to compete with the Soviets boosts the feminist movement of the 1970s and the ERA passes. New fuels generated for the space program create clean and cheap energy around Earth. There are also some darker changes — the USSR is thriving well into the 2000s, there are terrorist counter-technology movements around the globe, laborers on Mars work in nightmarish conditions and organize strikes and riots, etc. the @smotus report is a reader-supported publication. To support this work, please become a paid subscriber. Subscribe That show offers glimpses into the subtle ways this Earth is different. Teddy Kennedy never went to Chappaquidick because he was racing back to Washington to deal with the space program crisis; he gets elected President in 1972. John Lennon survives his early 1980s shooting but Pope John Paul II does not. The Apple Newton succeeded. Pretty much the whole of season 4 is a setup for an Al Gore joke. Again, mostly, the vision that “For All Mankind” presents is a positive one, with technology advancing many human interests. “Star City” goes in a very different direction. This spin-off show is about the same set of events but from the Soviet perspective. As we meet them, the team of scientists and cosmonauts responsible for the lunar landing are still basking in their hero status, but their program is embedded deep in the Soviet security state of the late 1960s. Everyone’s apartment is bugged. Whole teams of clerical staff spend their days transcribing recordings of people’s lives. People in the program, including respected cosmonauts, are regularly arrested. An incredibly menacing Colonel Lyudmilla Raskova (Anna Maxwell Martin) forces confessions and tortures and kills, expressing little more than annoyance in the process. Meanwhile, the space program’s highly respected Chief Designer (Rhys Ifans) has a vision for the program that he knows the government will not approve. He insists that they need to think past the Moon to focus on colonizing the solar system, starting with Venus. (This is a rough parallel to the Americans’ pivot to Mars in the original show.) He essentially builds a secret space program within the space program, calculating that the government will embrace the mission after it has succeeded. (As an aside, I’m not sure why the Venus obsession, as a successful mission can’t produce the biggest public relations payoff: a cosmonaut standing on the surface holding the Soviet flag. Anyone standing on Venus would be immediately crushed by the 92-bar atmosphere and then cremated in the 900°F temperatures. But in a country with no free press perhaps the visual payoff was less valued.) But the overall vision is that the technological advances have only amplified the most fearsome aspects of the Soviet system. The state is paranoid (but not incorrect) about American spies and does monstrous things to protect its secrets. People are terrified to trust each other. Classic banality-of-evil figures order people to harm those they care about; those people comply rather than get shot. Others are forced into criminal behavior to protect loved ones. We’re reminded all the time these days of what happens when a government despises science. It manifests in the defunding of schools, the elevation of fossil fuels as the rest of the world pivots to solar, outbreaks of measles and diarrhea, etc. But “Star City” offers a vision of a bad government that likes science. It’s not encouraging. It’s not yet clear if there will be a season two of this show. But I strongly recommend season one. It’s both thoughtful and gripping. Share
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