Image created with gemini-2.5-flash-image with claude-sonnet-4-5. Image prompt: Cinematic wide shot of a solitary figure silhouetted in a transparent command observation deck floating in deep space, watching distant orbital battle platforms with glowing red warning indicators, cool blue lighting with dramatic rim light, futuristic military sci-fi aesthetic with high contrast and sense of vast isolation, Ender’s Game inspired strategic control room
We believe this is the first documented case of a large-scale AI cyberattack executed without substantial human intervention. It has significant implications for cybersecurity in the age of AI agents. Read more: https://x.com/AnthropicAI/status/1989033795341648052
Full report: Disrupting the first reported AI-orchestrated cyber espionage campaign https://assets.anthropic.com/m/ec212e6566a0d47/original/Disrupting-the-first-reported-AI-orchestrated-cyber-espionage-campaign.pdf
Disrupting the first reported AI-orchestrated cyber espionage campaign \ Anthropic https://www.anthropic.com/news/disrupting-AI-espionage
We disrupted a highly sophisticated AI-led espionage campaign. The attack targeted large tech companies, financial institutions, chemical manufacturing companies, and government agencies. We assess with high confidence that the threat actor was a Chinese state-sponsored group.”” / X https://x.com/AnthropicAI/status/1989033793190277618
One of the biggest use cases for agentic document automation is insurance underwriting ✍️ Underwriting depends on processing *massive* volumes of unstructured documents, from medical reports, scanned forms, and way more. It’s also historically been a massively manual process. https://x.com/jerryjliu0/status/1988394058197184923
Build a document understanding agent for SEC filings that uses a multi-step approach with LlamaClassify and Extract to identify the filing type and hand it off to the right extraction agent. Deployed with LlamaAgents. 🔧 Customize extraction schemas to fit your specific data https://x.com/llama_index/status/1988696219015848401
Super excited to announce SIMA 2! It’s a general agent that can understand & reason about complex instructions and complete tasks in simulated game worlds, even ones it has never seen before. Incredible to see how it can learn just from self-play… a crucial step towards AGI https://x.com/demishassabis/status/1989096784870928721
SIMA 2: A Gemini-Powered AI Agent for 3D Virtual Worlds – Google DeepMind https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/
SIMA 2 is our most capable AI agent for virtual 3D worlds. 👾🌐 Powered by Gemini, it goes beyond following basic instructions to think, understand, and take actions in interactive environments – meaning you can talk to it through text, voice, or even images. Here’s how 🧵 https://x.com/GoogleDeepMind/status/1988986218722291877
Our SIMA 2 research offers a strong path towards applications in robotics and another step towards AGI in the real world. Find out more → https://x.com/GoogleDeepMind/status/1988987865401798898
SIMA 2 🤝 Genie 3 We tested SIMA 2’s abilities in simulated 3D worlds created by our world model Genie 3. It demonstrated unprecedented adaptability by navigating its surroundings and took meaningful steps toward goals. https://x.com/GoogleDeepMind/status/1989024090414309622
SIMA 2: A Gemini-Powered AI Agent for 3D Virtual Worlds – Google DeepMind
https://deepmind.google/blog/sima-2-an-agent-that-plays-reasons-and-learns-with-you-in-virtual-3d-worlds/?utm_source=x&utm_medium=social&utm_campaign=&utm_content=
We’re open-sourcing an evaluation used to test Claude for political bias. In the post below, we describe the ideal behavior we want Claude to have in political discussions, and test a selection of AI models for even-handedness: https://x.com/AnthropicAI/status/1989076472208978127
This is a hard area to get right, but we’ve been pretty consistent in trying to make Claude approach political topics fairly. I actually think a lot of existing norms around respect and professionalism can inform how AI models should navigate these issues.”” / X https://x.com/AmandaAskell/status/1989328363077382407
Measuring political bias in Claude \ Anthropic https://www.anthropic.com/news/political-even-handedness
Project Fetch: Can Claude train a robot dog? \ Anthropic https://www.anthropic.com/research/project-fetch-robot-dog
New Anthropic research: Project Fetch. We asked two teams of Anthropic researchers to program a robot dog. Neither team had any robotics expertise–but we let only one team use Claude. How did they do? https://x.com/AnthropicAI/status/1988706380480385470
Anthropic invests $50 billion in American AI infrastructure \ Anthropic https://www.anthropic.com/news/anthropic-invests-50-billion-in-american-ai-infrastructure
Iconic Marketplace – License Legendary Voices https://elevenlabs.io/iconic-marketplace
@frimelle For the Voice Consent Gate idea in particular, we did something that I **think** is fairly immediately useful; something people can see how they need right now. 7/”” / X https://x.com/mmitchell_ai/status/1988373005790310512
Voice Cloning with Consent https://huggingface.co/blog/voice-consent-gate
In light of the renewed discussion about the role of ethics in AI + the massive leaps in voice cloning tech, seems a good moment to re-up the idea @frimelle and I recently introduced: The Voice Consent Gate. 🧵 https://x.com/mmitchell_ai/status/1988367909849329777
AI data center buildouts already rival the Manhattan Project in scale, but there’s little public info about them. So we spent the last few months reading legal permits, staring at satellite images, and scouring news sources. Here’s what you need to know. 🧵 https://x.com/EpochAIResearch/status/1987944116861522227
By the end of the year, AI data centers could collectively see >$300 billion in investment, around 1% of US GDP. That’s bigger than the Apollo Program (0.8%) and Manhattan Project (0.4%) at their peaks.”” / X https://x.com/EpochAIResearch/status/1987944140714447327
How NVIDIA turned GPUs into currency ⬇️ An 18-month-old AI unicorn @nscale_cloud is a perfect example. You’ve probably never heard of it, but you should: • This September, Nscale raised $1.1 billion – the largest Series B in European history • Followed by $433 million https://x.com/TheTuringPost/status/1988002749452349495
How fast can you build a gigawatt-scale data center? Some hyperscalers plan to do it in just 1-2 years from the start of construction. If they succeed, we’ll see the first GW-scale data centers online in 2026, marking one of the fastest infrastructure build-outs in history. 🧵 https://x.com/EpochAIResearch/status/1987938542094610927
The government has played a role in critical infrastructure builds. Our public submission (posted on our blog) shares our thinking and suggests ideas for how the US government can support domestic supply chain/manufacturing. This is very in line with everything we have heard”” / X https://x.com/sama/status/1986917979343495650
Today, we’re announcing a new $40B investment in Texas through 2027 to build Cloud & AI infrastructure and support thousands of new jobs. This includes new data centers in Armstrong and Haskell Counties and a major investment to strengthen energy resilience and abundance. We’re https://x.com/sundarpichai/status/1989468970400055487
Private AI Compute advances AI privacy https://blog.google/technology/ai/google-private-ai-compute/
@ChrisMurphyCT You’re being played by people who want regulatory capture. They are scaring everyone with dubious studies so that open source models are regulated out of existence.”” / X https://x.com/ylecun/status/1989364612651966788
I don’t want to live in a world where AI transcends humanity. I don’t think anyone does.”” / X https://x.com/mustafasuleyman/status/1986502379160965164
We can’t build superintelligence just for superintelligence’s sake. It’s got to be for humanity’s sake, for a future we actually want to live in. It’s not going to be a better world if we lose control of it.”” / X https://x.com/mustafasuleyman/status/1987927163061035364
What kind of AI does the world really want? At @MicrosoftAI, we’re working towards Humanist Superintelligence (HSI): incredibly advanced AI capabilities that always work for, in service of, people and humanity. And to do this we have formed the MAI Superintelligence Team. https://x.com/mustafasuleyman/status/1986433769046483430
It shouldn’t be controversial to say AI should always remain in human control – that we humans should remain at the top of the food chain. That means we need to start getting serious about guardrails, now, before superintelligence is too advanced for us to impose them.”” / X https://x.com/mustafasuleyman/status/1986834581576941763
Two things can be true. If you’re not amazed by AI, you don’t really understand it. If you’re not afraid of AI, you don’t really understand it.”” / X https://x.com/mustafasuleyman/status/1988111942490415180
🟡 NEW: Microsoft is joining the race for superintelligence, but with a caveat: It will prioritize human control over the technology at the expense of maximum capability. https://x.com/semafor/status/1986433905520525789
Let’s just say the new @MicrosoftAI Superintelligence Team is pretty pumped… Even more GPUs go brrrr”” / X https://x.com/mustafasuleyman/status/1988655676869214687
Nvidia’s Jensen Huang: ‘China is going to win the AI race,’ FT reports https://finance.yahoo.com/news/nvidias-jensen-huang-says-china-211900769.html
GPT-5.1 is a great new model that we think people are going to like more than 5. But with 800M+ people using ChatGPT, one default personality won’t work for everyone. We launched new preset personalities so people can make ChatGPT their own. https://x.com/fidjissimo/status/1988683216681889887
Moving beyond one-size-fits-all – Fidji Simo https://fidjisimo.substack.com/p/moving-beyond-one-size-fits-all
We’ve developed a new way to train small AI models with internal mechanisms that are easier for humans to understand. Language models like the ones behind ChatGPT have complex, sometimes surprising structures, and we don’t yet fully understand how they work. This approach”” / X https://x.com/OpenAI/status/1989036214549414223
AI data centers will be some of the biggest infrastructure projects in history e.g. OpenAI’s Stargate Abilene will need: – As much power as Seattle (1 GW) – >250× the compute of the GPT-4 cluster – 450 soccer fields of land – $32B – Thousands of workers – 2 years to build”” / X https://x.com/EpochAIResearch/status/1987944128903266358
I would like to clarify a few things. First, the obvious one: we do not have or want government guarantees for OpenAI datacenters. We believe that governments should not pick winners or losers, and that taxpayers should not bail out companies that make bad business decisions or”” / X https://x.com/sama/status/1986514377470845007
Fighting the New York Times’ invasion of user privacy | OpenAI https://openai.com/index/fighting-nyt-user-privacy-invasion/
OpenAI asked Trump administration to expand Chips Act tax credit to cover data centers | TechCrunch https://techcrunch.com/2025/11/08/openai-asked-trump-administration-to-expand-chips-act-tax-credit-to-cover-data-centers/
Disney+ to Allow User-Generated Content Via AI https://www.hollywoodreporter.com/business/digital/disney-plus-gen-ai-user-generated-content-1236426135/
Advanced AI models shift their “beliefs” as they encounter new information & have interactions with people. Active persuasion works but effects come from overall context. Aside from alignment issues, shows why “SEO for agents” is not simple, as AI behavior can vary with context. https://x.com/emollick/status/1986264795973144742
Most diffusion policies can imitate behavior… but they can’t guarantee safe behavior. That’s a problem when robots share space with people. Researchers from TUM and Stanford propose Path-Consistent Safety Filtering (PACS), a method that gives formal safety guarantees to https://x.com/IlirAliu_/status/1988550922444693898
Robots are great at following instructions. But what happens when those instructions fail? Most Vision-Language-Action models freeze or repeat the same mistake. A new approach called FailSafe shows how robots can detect and fix their own failures. The method uses a companion https://x.com/IlirAliu_/status/1986353266322538634
I do think people often err on the side of trying to make their prompts too succinct, even if the idea they’re trying to move from their own brain into the model’s brain is very complex. I have some >100 page prompts that I use pretty regularly.”” / X https://x.com/AmandaAskell/status/1986571451902927017
Interesting to see work I’ve done (suicidal ideation detection) and advocated for (anthropomorphism blockers) in NY law. It’s cool to both code up solutions and articulate ethical principles in development🐇🌈.”” / X https://x.com/mmitchell_ai/status/1988358221418106959
One question I have about GPT 5.1 is whether “”personality”” biases the model outputs. There is reason to suspect that custom instructions might impact the quality and type of answers that you receive. I would love more information about whether that is still true for personality. https://x.com/emollick/status/1988708086815821879
Weave helps you systematically catch LLM hallucinations. It logs all inputs, outputs, and scores in one dashboard. You can then run custom “”fact-check”” scorers and visualize exactly where your model is confidently wrong, turning random spot-checks into a reliable process. https://x.com/weave_wb/status/1987946840550240294
New Video: What matters right now in mechanistic interpretability? A lot has changed in AI and interp! The priorities have moved on, frontier models are WAY more interesting now I discuss the new big picture, my vision for the field, common mistakes and promising directions https://x.com/NeelNanda5/status/1989297683140354267
Building our own inference platform was by no means easy, but would have taken significantly longer if not for @modal”” / X https://x.com/ArmenAgha/status/1988763002674508160
Introducing Scribe v2 Realtime https://elevenlabs.io/blog/introducing-scribe-v2-realtime
Scribe v2 Realtime Speech to Text – 150ms Latency API https://elevenlabs.io/realtime-speech-to-text
ElevenLabs’ new AI marketplace lets brands use famous voices for ads | The Verge https://www.theverge.com/news/818470/elevenlabs-iconic-voice-marketplace-ai-audio
Music Flamingo: Scaling Music Understanding in Audio Language Models “”We introduce Music Flamingo, a novel large audio-language model designed to advance music (including song) understanding in foundational audio models.”” https://x.com/iScienceLuvr/status/1989273704057151966
Only a few countries have enough power to build many >1 GW data centers like Stargate E.g. 30 GW is ~5% of the US’ power, ~2.5% of China’s, but ~90% of the UK’s Other countries can build some frontier data centers and grow their power capacity — but they need more time/money”” / X https://x.com/EpochAIResearch/status/1987944152542441763
Big Tech and the AI investment boom in underwater cables https://www.cnbc.com/2025/11/08/big-tech-ai-underwater-cables.html
I like how full text search of every book and human thought ever was a SOLVED PROBLEM in 2001, and now dicks at search engines and my own phone – a piece of silicon faster to respond than God was ever imagined in scripture – prevent it from working, _as a design choice_.”” / X https://x.com/SwiftOnSecurity/status/1989130339458126281
We’re fighting this overreach on user privacy. As @sama has mentioned before, we need a new form of privilege – AI privilege – given some of the kinds of conversations people are having with these tools today. Fittingly, Nils Gilman published an op-ed in the NYT discussing AI”” / X https://x.com/jasonkwon/status/1988649030818148828
@frimelle So, hopefully the ethicsy developers out there interested in this kind of thing can get immediate support & encouragement from the AI community writ large to work on this part of the tech. It can be so so so much better. /end”” / X https://x.com/mmitchell_ai/status/1988373735863447878
This story is insane. The founders of Fireflies AI (now worth $1B+) pretended to be an AI notetaker before the tech existed. The founders would: > Join meetings on mute as “”Fred from Fireflies”” > Take notes by hand while sitting silently > Send the “”AI-generated”” notes 10 https://x.com/rowancheung/status/1988218743952916537
.@growing_daniel on Marc Andreessen’s response to the pope’s tweet: “”If you’re going to dedicate your life to building something…what I’m saying is that you should reflect morally.”” “”The Pope’s entire point was that you should think about that and try to do good things.”” https://x.com/tbpn/status/1988366296573243696
New York Governor Kathy Hochul’s letter to all companies operating Al companions in New York. https://x.com/AndrewCurran_/status/1988290235382591904
Safer (and Sexier) Chatbots, Better Images Through Reasoning, The Dawn of Industrial AI, and more… https://www.deeplearning.ai/the-batch/issue-327/
Fei-Fei Li dropping bars on why spatial intelligence matters: “”LLMs have begun to transform how we access and work with abstract knowledge. Yet they remain wordsmiths in the dark; eloquent but inexperienced, knowledgeable but ungrounded.”””” / X https://x.com/bilawalsidhu/status/1987903363095343437
How cool is this! @Siemens is breaking new ground with an open-source-first, self-contained LLM platform, optimized by @vllm_project. Learn how they deployed their sustainable AI stack with flexibility, full control, and cost savings at scale: https://x.com/NVIDIAAIDev/status/1987944094883037559
I’ve got you, Ron — that’s totally normal, especially with everything you’ve got going on lately.”” Who actually wants their model to write like this? Surprised OpenAI highlighted this in the GPT-5.1 announcement. Very annoying IMO. https://x.com/tamaybes/status/1988715705722892371
@testingcatalog actually–it’s better at not using em dashes–if you instruct it via custom instructions”” / X https://x.com/OpenAI/status/1988751800808435802
Unlike with normal models, we often find that we can pull out simple, understandable parts of our sparse models that perform specific tasks, such as ending strings correctly in code or tracking variable types. We also show promising early signs that our method could potentially”” / X https://x.com/OpenAI/status/1989036218160673103
ChatGPT Plus for Veterans: We’re offering 12 months of free ChatGPT Plus to eligible active duty servicemembers and veterans who have transitioned from service in the last 12 months. https://x.com/gdb/status/1988306228146053412
ChatGPT violated copyright law by ‘learning’ from song lyrics, German court rules | ChatGPT | The Guardian https://www.theguardian.com/technology/2025/nov/11/chatgpt-violated-copyright-laws-german-court-rules
Apple and OpenAI Must Face xAI Lawsuit Over Siri Integration – MacRumors https://www.macrumors.com/2025/11/13/apple-openai-elon-musk-lawsuit-proceeds/
[OpenAI_OSTP RFI Oct 27 2025] https://cdn.openai.com/pdf/21b88bb5-10a3-4566-919d-f9a6b9c3e632/openai-ostp-rfi-oct-27-2025.pdf
Free ChatGPT for transitioning U.S. servicemembers and veterans | OpenAI https://openai.com/index/chatgpt-for-veterans/
In the AI era, Wikipedia has never been more valuable – Wikimedia Foundation https://wikimediafoundation.org/news/2025/11/10/in-the-ai-era-wikipedia-has-never-been-more-valuable/
“Maybe specifically in this robotics climate, robots shouldn’t have boobs, like that was kind of like a criticism, I just want to give you an opportunity to talk about that specifically.” https://x.com/TheHumanoidHub/status/1987181250935988635
I would like policy discussion be much clearer about what “winning the international AI race” means. Policymakers do not seem to believe in a takeoff scenario based on other decisions, and without an apotheosis as a “finish line,” it isn’t that clear to ke what we are racing to.”” / X https://x.com/emollick/status/1986297613642084407
🎥 In the newest Science Brief Video Series, @Yoshua_Bengio @Mila_Quebec explores what it takes to verify frontier AI, from compute tracking to tamper-resistant chips. Can science support safer development of frontier AI? Read more: https://x.com/ScienceBoard_UN/status/1988971216951210467
Introducing SlopStop: Community-driven AI slop detection in Kagi Search | Kagi Blog https://blog.kagi.com/slopstop
Today, we’re launching SlopStop: Community-driven AI slop detection in Kagi Search. Join our collective defense against AI-generated spam and content farms: https://x.com/KagiHQ/status/1989050447844270340
Can LMs learn to faithfully describe their internal features and mechanisms? In our new paper led by Research Fellow @belindazli, we find that they can–and that models explain themselves better than other models do. https://x.com/TransluceAI/status/1989395421236793374
Where does this power come from? Usually a mix of on-site fossil fuel generation and interconnection to the grid. E.g. Stargate Abilene will start off with on-site natural gas, then connect to the grid to access Texas’ abundant renewable power.”” / X https://x.com/EpochAIResearch/status/1987944176089231428
I keep warning that so many of our systems are still built around the assumption that quality writing and analysis are costly and therefore meaningful signals. Our systems are very much not ready for the revelation that this is no longer true, as this planning objection AI shows https://x.com/emollick/status/1987659629128479170
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