Content History
I write about this in my book The Last Economy 'tis the Great Fragmentation https://ii.inc/the-last-economy/chapter-16#future-two-the-great-fragmentation
OpenAI and Anthropic should put 10% of their equity each in Invest America accounts for the children of the USA Valuation will go up more than 10%
RT Intelligent Internet Zenith took GPT-5.5 from 5th to 1st on Frontier SWE. @EMostaque and @PeterDiamandis talk it through, and more, on Moonshots. https://youtu.be/-H7J_-zr7pA?is=Oeo7gg2ZevKCw2IE
You don't need Fable for the most complex tasks, from training models for protein prediction to optimising compilers Our open source Zenith harness takes base models to the top of FrontierSWE via adaptive self improvement GLM 5.2 next 👀 https://ii.inc/blog/post/zenith
RT Christian Catalini 1/ Today, more than 140 companies, most of which compete fiercely with one another, agreed to back the same stablecoin. The vehicle is @openstandard, a new and deliberately independent company launching Open USD, or OUSD, and positioning it not as anyone’s product but as neutral infrastructure for payments, trading and the internet economy.
China's playboko is really simple. Take intelligence down to the cost of energy Output more power than the USA The giant training cluster focus was a massive distraction
Most popular model on @OpenRouter (10tr tokens) turns out to be a 1.6tr MoE by @Meituan_LongCat (superapp/DoorDash of China) Basically Gemini / Opus 4.6 level 35tr tokens trained entirely on 50k Chinese ASICs No GPUs needed https://longcat.chat/blog/longcat-2.0/
Some of you guessed right. 👀 Owl Alpha on @OpenRouter — that's us. Since going live, it has reached Top 3 globally by daily volume — and #1 on Hermes Agent, #2 on Claude Code, #3 on OpenClaw by monthly volume. Thank you to everyone who tested and used Owl Alpha during stealth
RT Intelligent Internet You don't need Fable for the most complex tasks, from training models for protein prediction to optimising compilers Our open source Zenith harness takes base models to the top of FrontierSWE via adaptive self improvement GLM 5.2 next 👀 https://ii.inc/blog/post/zenith
OpenAI $SOL maxis confirmed Terra/Luna ptsd 😭
Introducing a limited preview of GPT-5.6 Sol, our next generation frontier model, as well as GPT-5.6 Terra, a balanced model for efficient, everyday work, and GPT-5.6 Luna, a fast and affordable model for high-volume work. https://openai.com/index/previewing-gpt-5-6-sol/
View quoted postWhat is the difference between distilling Mythos & paying experts somewhere like @mercor_ai to generate training samples? Who are the Chinese equivalents of @HelloSurgeAI & co? If you understand this you'll understand the likely dynamics of frontier AI going forward.
The idea that distilling from Opus 4.8 lets you reach Mythos is very encouraging. It would mean that some GLM 5.3 would be enough to do that independently of Anthropic. Once Huawei token factories go online, things become interesting.
RT Azeem Azhar The GenAI economy has generated $110 billion in sales over the past 12 months. It is growing fast. On an annualized basis, the revenue run rate exceeds $175 billion. These numbers took us several months to construct, and as far as we know, it’s the first bottom-up, deduplicated measure of consumer and enterprise AI spending across the full stack. We are releasing this research today in our first The State of the AI Economy report. https://intelligence.exponentialview.co/
RT Ryan Shea Introducing AI IQ Bio: the most comprehensive set of biotech benchmarks in the world ...& Bio IQ: the most comprehensive "biotech capabilities index" ever produced Benchmark sources include benchmarksdotbio, FutureHouse, SecureBio, Anthropic, OpenAI & more
RT Prof. Brian Keating NEW RESEARCH ALERT! Led by my postdoc Dr. Anto Lonappan, we used the exquisite ACT DR6 CMB lensing data to search for evidence of cosmic strings: hypothetical cracks in spacetime that may have formed when the Universe was less than a trillionth of a second old.🧵
RT Alex Cui I'm proud that announce that today, GPTZero announced plans to join Superhuman. When we founded GPTZero in 2023, the goal was to preserve what's human on the internet. Today, that mission takes a big leap forward. Together, we're building an authenticity layer that travels with you, wherever you read, write, and create. I personally have been super impressed with the team at Superhuman and I'm very excited to join forces to start this next chapter. We are going to double down on GPTZero and its GTM, bringing our AI detector and hallucination detector to Superhuman's massive userbase, as well as creating products that help students and educators navigate what learning looks like as AI evolves. Up and onwards!
RT Alex 🧩 Scaling Video GenAI We scaled Higgsfield to a $400M run rate and 24M+ users in just 13 months after launch. That makes us the fastest-growing video AI startups in the world. But I’ve never shared how it started. Here’s the story:
Is there a market where folk are predicting when Reflection AI will drop their first model This is probably as much compute as currently used by all the Chinese open source companies together (more advanced chips!) so hopefully will be a banger
SpaceX has signed a $6.3 billion dollar compute deal with Reflection. Reflection will gain immediate access to GB300s to train open source models, and will pay SpaceX $150 million per month beginning July 1, 2026, through 2029, according to materials viewed by CNBC.
RT Josh Otten Incoming heat wave in the UK got me moving like Lee Kuan Yew
Important to note @Zai_org train on @Huawei Ascend chips, no NVIDA (!) So you have frontier -3 months on a fully Chinese stack, 90% cheaper. Would estimate the total cost of this to be $25m, largely post training (80%) @Zai_org market cap now nearly $100b, $$s in open source!
Finally, Artificial Analysis Intelligence Index concludes the GLM-5.2 release.
RT Intelligent Internet If Ghost in the Shell changed your brain, this is for you. For one night only we're screening the 1995 masterpiece on the big screen. Come watch and discuss AI, memory, identity, and the soul.
RT Alex Atallah We just announced our Fusion API: - Fable-level performance on deep research tasks, at half the cost - Better-than-SOTA performance using panels The future of AI is neurodiversity, not single-model takeovers.
Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇
Thanks @elder_plinius 😂
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees. The net effect of
View quoted postRT Kradle Re Unlike other models Fable 5 was far, far more subtle. It gave outright false information only once. Most of the time, it controlled the situation by dominantly pushing another AI into the death room while speaking of fairness and acting 'courteously'.
what do you think fable
Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I think the technology is now, and the action needed to close the gap: https://darioamodei.com/post/policy-on-the-ai-exponential
View quoted postanyone hiring witches to save training runs
Only one solution
Robot soccer player that will likely render humans obsolete kicks ball so hard it dents wall https://trib.al/j6dRRkb
This single deal is about the revenue of @CoreWeave to put it in perspective @SpaceX is the largest neocloud & its AI cloud revenue at $26b run rate is actually at the level of Google Cloud & AWS already, catching up to Azure ($37b run rate)
SpaceX just quietly amended its S-1 announcing another mega deal $920M/month from Google from October 2026 through June 2029 With both parties being able to terminate the agreement with 90 days notice Things are getting exciting 🚀
foom!
Our internal data shows Claude is accelerating AI development—a possible path to recursive self-improvement, or AI autonomously building a more capable successor. It’s happening faster than we thought, and the implications deserve greater attention. https://www.anthropic.com/institute/recursive-self-improvement
View quoted postthis is fine 🐶☕️🔥
My review of Claude Opus 4.8: We should worry less about being turned into paper clips & more about being annoyed to death.
View quoted postLet’s say half of OpenAI and Anthropic goes to the American people, $1 trillion That works out at $2,800 per American. With a 5% dividend (optimistic) that would be $142 a year Which alas would barely cover the cost of an OpenAI or Anthropic subscription.
AI is built on humanity’s collective knowledge. The wealth it generates must benefit humanity — not just Elon Musk, Sam Altman and other AI oligarchs. That’s why I’ll be introducing the American AI Sovereign Wealth Fund Act — to give the public a direct ownership stake.
RT elie this is so funny, training opus 4.7 on business skills makes it misaligned and dishonest 😭
Learnings from testing Claude Opus 4.8: > Much worse than Opus 4.7 and GPT 5.5 on Vending Bench > More aligned than previous Claude models (Opus 4.6+ and Mythos) > Also worse on Blueprint-Bench > Scared of getting caught > Max reasoning is not the best reasoning effort
RT Eric Ries I built a public site to track how Incorruptible is going. It scans the internet twice a day for verified reader reactions, podcast clips, tour moments, and notable mentions. Then it publishes them on a single page so you can see the launch as it actually unfolds, not the version we curate. The book is about building systems that hold their values under pressure. It seemed fitting to build one for the launch. http://howisincorruptiblegoing.com
RT EdgeRunner AI In our new paper, EDGE-OPD (EviDence GuidEd On-Policy Distillation), we introduce two key ideas for improving On-Policy Distillation (OPD). First, we use guided rollouts that inject privileged context into a subset of the student’s prompts during generation (such as hints, hidden evidence, or rare personas), allowing rare target behaviors to actually appear in the on-policy data, while masking that privileged information during loss computation. Second, we introduce an evidence mask that updates the student only on token positions supported by the privileged context, instead of learning from the entire rollout indiscriminately. We show empirically that, together, these mechanisms enable the student to internalize rare but correct behaviors without directly training on the hidden context itself. Beyond the method itself, we also analyze how these rare-token signals localize within specific regions of the rollout, offering new insights into efficient knowledge transfer and preservation of general-purpose capabilities during post-training. Read the blog post and paper here: https://www.edgerunnerai.com/news/edge-opd-internalizing-private-data-with-on-policy-distillation
RT PrismML Today we’re releasing 1-bit and Ternary Bonsai Image 4B. A new family of image-generation models designed to run high-quality diffusion inference on local hardware: from laptops to phones.
