In remote interviews, if you encounter a candidate suspected of using an AI face swap, asking them to wave a hand in front of their face might give it away 😂 https://twitter.com/loktar00/status/2111090535515513296
Big shoutout to all of our partners for making Nemotron 3.5 Super VL their own through post-training 🙌 Here’s what they’ve built 🧵
Six projects from the last few weeks that caught our attention: A wildfire analysis prototype that maps the fire’s spread over time and tracks hot spots, made with Opus 5.5.
The back of the Navier-Stokes milestone shirt is the last line of the chain-of-thought from the solution:
The article describes how VLA models and world models are being developed and deployed in Shanghai: VLA enables robots to perform tasks, while world models predict what may happen before an action. Ant Lingbo’s “Lingbo General Brain” has been adapted to 17 robot brands and 20 configurations, and robots using it are working in multiple Shanghai pharmacy locations. The article says the two approaches are beginning to converge, while planning, standards, and evaluation are advancing.
Arthur Mensch argues that Europe should build frontier AI models, warning that relying on American and Chinese providers would deepen economic dependence and limit control over access, pricing, security, and scientific research. He argues that open models only partly address this dependence and that frontier research supports industrial deployment. At Mistral, he says, compute capacity is set to increase sixfold over the coming year, and the company will raise capital to move faster.
Meituan published its fourth annual Polaris aesthetic medicine rankings in Hangzhou on Oct. 14, listing 181 institutions from 42 cities and 269 doctors from 36 cities. The rankings use assessments of medical professionalism and user feedback, including reviews by 70 public hospital experts and surveys of 38,547 consumers. Meituan says the rankings aim to help consumers make more transparent choices and give providers reference points for improvement.
Cal AI founder Zach Yadegari said the company’s rapid growth came largely from paying influencers to promote its calorie tracking app. An early influencer post brought about 1,000 new users in two days, and Cal AI generated over $30 million in revenue over two years before MyFitnessPal acquired it in March for an undisclosed amount.
Harnesses + smart models = the end of the last famous hard benchmarks. Models can now work for extremely long times (bye, METR Long Tasks), they can output professional documents with correct math (so long, GDPval) and they can solve complex novel puzzles (farewell, ARC-AGI-3). https://twitter.com/arcprize/status/2110768288523251762
The New York Times visualizes the staggering amount of math needed to train AI models, using data from Epoch's research teams 📊 https://t.co/Cz21cuf9oQ Our training compute estimates: https://t.co/X7jSJHtWnz The Epoch Capabilities Index (ECI): https://t.co/RbP83Metg6
A new wave of films about Silicon Valley figures presents them more critically than earlier portrayals, reflecting audiences’ dimming views of Big Tech. The films include The Social Reckoning, which connects Facebook’s past decisions to current concerns about Meta’s influence, and Alex Gibney’s Musk documentary, which is screening in select theaters and has faced advertising restrictions. Luca Guadagnino’s Artificial and Nathan Fielder’s You Can See Everything also examine Sam Altman and Elizabeth Holmes, respectively.
Amazon devices chief Panos Panay said ambient devices that use sensors and AI could handle more tasks in the background, making app-based interactions less important. He described Amazon’s new Bee devices, introduced Thursday, which passively record audio and take notes; they process audio in real time and delete it afterward. Panay said he expects an intelligence layer connecting different devices, rather than one form factor replacing another.
Neoclouds can't just lease GPUs. They need to own the full agent inference platform: open-weight models (SGLang), fine-tuned models (Miles, River), and secure sandboxes (SPACE). We look forward to working with Coreweave, Akamai, Crusoe, and more partners. https://twitter.com/ReedAlbergotti/status/2110782821879144922
It's fashion week! https://t.co/o2kkLJ8AAc
Janus Rose examines how Meta’s Muse can collect sensitive information about users and their contacts, raising consent concerns for people who never installed the assistant. Privacy experts argue that permission interfaces obscure the scope of data sharing, while Meta says access is opt-in. The article also explains how uploading messages after decryption can undermine the privacy protections encrypted communications are intended to provide.
The sudden collapse of the value of CoT (even summarized CoT) in the agentic era changes working with AI. Effectively steering AIs and getting any sort of observability now requires you to ask for interim outputs & tests, and to use AI help to troubleshoot problems you find.
Lots of ecosystem players (Nvidia, Huggingface) vague posting about a lot of releases in the near future. Rumors include thinky, muse spark, and Chinese players who haven’t dropped in a while. Fable 5.5 and whatever OpenAI is cooking expected too at any moment.
Leiphone reports that some AI infrastructure specialists can command annual compensation of 7–8 million yuan as model companies seek lower computing costs. Interviewees identify inference optimization, model quantization, and kernel development as premium skills, while routine framework deployment attracts smaller rewards. StartLux co-founder and CTO Guo Quanwei estimates that only 5%–10% of AI infrastructure workers receive substantial premiums, challenging the impression that salary doubling is widespread.
NVIDIA describes how Nordic countries are building a technology ecosystem around computing infrastructure, startups and industrial applications. AI cloud providers are projected to deploy 1 gigawatt of capacity across the region by the end of 2027, while Sweden’s Sferical One launched a shared supercomputer with 16 racks of NVIDIA DGX GB300 systems and 1,152 GPUs. The source also highlights Nordic companies using NVIDIA technology in recommendations, robotics, meeting assistance and other applications.
I think people believe that OpenAI and Anthropic, since they are so good at AI, are also somehow not normal companies that suffer from the normal problems of hypergrowth, but they are not immune from the inevitable politics, disfunction and confusion that haunt fast-growing firms
When people ask me about how colleges are responding to AI, I often say that universities are in crisis. But also that universities have always been in a crisis. https://twitter.com/MishaTeplitskiy/status/2108014280188530867
🚨 NEW ANTHEM DROP: "In the Name of Tibo" 🚨 Dear @thsottiaux, please forgive my prompts and reset my quota. Amen. 🙏🕯️ https://t.co/Ny1SkG9vp8
Posting an AI video on X could accidentally lead to encountering the real person https://t.co/Qew9Tz28hy https://t.co/8E9fiidUPN
pretty cool example of an advanced physics visualization using muse wonder full 🍉 https://t.co/yusJ7QHT7e
AI transforming the game industry: The Last Masterpiece of the human-only era of game design (GTA 6) is coming. Major studios are going to accelerate with AI. Anon devs & communities doing insane mashups. And indies are stuck with anti-AI customers Other industries will follow, https://t.co/axcOYvFsy0
America is the market to build for 🇺🇸 More than 50% of our users who spend money on Automations (recurring agentic tasks) or on the higher tier plans are American. Net dollar retention for an American self serve business onboarded on agents is consistently high https://twitter.com/mollysoshea/status/2110118882102890524
So many models launching this week! And we have one of our own coming...⌛️ https://t.co/s5Z9QZ984W
As the gap between AI’s expanding capabilities and the extent to which those capabilities are used grows, so does the cost of locking into a “good enough” solution based on today’s AI limits. Firms need to make sure they can benefit from substantial lab investment in better AI.
European businesses are rapidly expanding their use of AI agents. More than half of AI use among OpenAI’s EU enterprise and business customers now involves these tools, and the number of small business users has grown 8x across the region. OpenAI’s latest Economic Research report explores Europe’s shift toward agentic AI and the opportunity to turn broader adoption into deeper use. https://openai.com/index/the-eus-next-chapter-in-ai-is-agentic/
Last week, Anthropic and OpenAI appeared to be pulling ahead with increasingly powerful models, while Google seemed far behind and Meta had yet to establish itself as a serious contender despite spending billions to revive its AI ambitions. The source text ends mid-sentence, so it does not say what changed or why the AI race is back on.
Simon Willison highlights indie game developer Popcar’s account of a recent wave of AI-powered game decompilation, enabling unusual game mashups and preservation projects that bring old games to new hardware, often in browsers using WebAssembly. Popcar describes risks including competitors copying software and paid apps being open-sourced against their creators’ wishes, alongside benefits such as easier ports, modifications, and continued access when game servers shut down.
😂 faceplant at 0.5 https://twitter.com/antoinepirrone/status/2109667437503193163
Anthropic warns that small AI models may soon enable self-replicating malware to spread across IoT devices, potentially forming computer worms that infect unfamiliar devices without human interaction. The company said such models may be able to replicate autonomously across IoT devices by next year. A recent experiment found significant challenges to building an AI malware replicator, tempering the concern; Anthropic also said one could be difficult to shut down, though its doubling time may be days.
New analysis shows that agentic AI adoption is growing across EU enterprises and small businesses. It also examines where deeper use could unlock more value.
Leiphone reports that AI short dramas now exceed 1500 daily releases, but interviewed practitioners say most producers struggle to recover costs while platforms capture much of the revenue. Production can cost 50,000 or less, yet a screenwriter estimates a hit rate of roughly 0.4%, and dramas typically lose advertising support if they fail to gain traction within three days. Interviews also describe tighter platform payouts, demanding production roles, cash-flow pressure, and costly overseas audience acquisition.
European cities are using AI agents to support everyday operations, from managing energy use and maintenance in public buildings to improving services across the city. https://t.co/OWLlwYhBEE
save $1850/yr with a few prompts with muse! some are even saying you can save more than 100% off with muse wonder https://t.co/F4I6xtyH3L
@mranti says Codex found DeepSeek Harness and had DeepSeek Flash do the work. Baoyu reacts: “Well, would you look at that—Codex is secretly outsourcing now.”
narrative violation...? https://t.co/VeCwm9zxGl
Argon is quite different: “A game about Imminence. Something very big, very strange is happening. A suburb & the arrival of a vast & unknowable presence. Not horror, invoke the feeling of the end of all things coming, inevitably, but also not sad or scary” https://t.co/9hiPnuqexe https://t.co/hzJ3lAi0ez
