Open Sovereign AI @ii_posts. Founder @StabilityAI. Consistent inference is possible.
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 bidhan ✈️ CVPR We're releasing Paris 2.0, which, to our knowledge, is the world's first decentralized trained video generation model. We benchmarked it against a monolithic model trained on the same data and compute budget, and Paris 2.0 outperformed the monolithic by ~2x on FVD benchmark.
RT Intelligent Internet Make your agent smarter. The II-Commons skill gives your agent reliable knowledge from arxiv, PubMed & more, plug it in Repo: https://github.com/Intelligent-Internet/II-Commons-Skills Add it to II-Agent: https://agent.ii.inc
Train with autoregression & convert weights to diffusion for inference.
Most researchers agree that autoregression is best when memory bandwidth is cheap and diffusion is best when FLOPS are cheap. They also admit the future of compute is all FLOPS because memory scaling is hard and scaling FLOPS is easy. So why not go all in on diffusion????
View quoted postGreat to see @poolsideai (US lab) committing to open sourcing their foundation models going forward Laguna is an interesting release, check it out
@Shaughnessy119 https://poolside.ai/blog/introducing-laguna-xs2-m1 All models will be open going forward
View quoted postRT 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.
RT Intelligent Internet Board Mode is here. Instead of one long agent session, you now get a creative workspace where research, slides, websites, apps, and design drafts can live side by side. Try it now: https://agent.ii.inc/ Read more: https://ii.inc/blog/post/board-mode
I think folk are underestimating how much of AI models are actually engineering at scale versus breakthrough research. See how @cursor_ai caught up to Anthropic / OpenAI models run at a fraction of the cost to run & it becomes clearer why that deal was done & what is to come
@PeterDiamandis What you say is true, but nonetheless our AI will be great. Whether it is the best remains to be seen, but I will never give up. Never. Space(XAI) is only 3 years old. That’s half the age of Anthropic and quarter the age of OpenAI. Let’s see where things stand 3 years from
View quoted postIt’ll be interesting to see if the post training for this uses a multiple of the compute of pretraining as cursor did when they tuned Kimi as the base model
Grok foundation model V9-Medium (1.5T) has finished training. Evals look good. A lot of Cursor data was added in supplementary training and there is more to come. Fine-tuning is underway and reinforcement learning begins in a few days. 2 to 3 weeks to public release. This will
View quoted postngl I thought this was them talking about no researchers under 18 There are some darn good ai researchers in that age bracket
Anthropic Doesn't Allow Kids Under 18 — Here's Why "We just don't know enough about what AI is going to do to kids. It needs to be done with an adult in the room. It needs to be done with a human in the loop." — @DanielaAmodei
View quoted postRT Wario64 Star Citizen hits $1 billion in funding https://robertsspaceindustries.com/en/funding-goals
RT David Lindell Image diffusion models like Flux natively output at 1k resolution, but what if we want to generate much higher resolution images (6k+)? SEGA modifies the RoPE encodings during the diffusion process to generate high-resolution images---no fine-tuning required!
📢🚀 Happy to share our recent work. SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers 📄Paper: https://arxiv.org/abs/2605.22668 🌐Webpage: https://rajabi2001.github.io/sega/ 🤗HF: https://huggingface.co/papers/2605.22668
RT Zyphra Today, Zyphra Research is sharing fundamental work extending Equilibrium Propagation beyond Energy-Based Models to biologically realistic neuron models. A step toward more efficient AI, local learning, and future hardware beyond backprop. 🧵
20x sales for something growing that fast js a great deal for @SpaceX It will be immediately accretive given @SpaceX is likely coming to the market at over 50x sales
Source: Cursor reached $3B in annualized revenue in late April and now has 3,000+ customers paying at least $100K each for its software on an annualized basis (@rachelmetz / Bloomberg) (Visit Techmeme dot com for the link and full context!)
View quoted postAI repeals the Mythical Man Month: "Rather than requiring large teams across multiple subsystems that need to coordinate, AI models are developed by smaller teams whose output increases in quality as a function of the data and compute thrown at them." "To wit, now you can throw
Once AI starts making solving open problems in novel ways it won’t stop. We are entering the final stage of human solutions to open problems like this. Feels weird, doesn’t it?
Today, we share a breakthrough on the planar unit distance problem, a famous open question first posed by Paul Erdős in 1946. For nearly 80 years, mathematicians believed the best possible solutions looked roughly like square grids. An OpenAI model has now disproved that
View quoted postRT Yohei i'm excited to open source Active Graph: an event-sourced reactive graph runtime for long-running, agents 🔄🧠 events/logs projects a graph. reactive behaviors react and affect the graph. fork-and-diff agent runs. no A2A, no workflows, no DAG site: http://activegraph.ai docs: http://docs.activegraph.ai github: https://github.com/yoheinakajima/activegraph quick start: pip install activegraph this is an early experiment in a new paradigm for agent architecture 🧪
RT Intelligent Internet Agent work getting stuck in sessions is vexing. We're open-sourcing CommonGround Kernel so you and your agents can coordinate, hand off, and build on each other's work. Blog: https://ii.inc/web/blog/post/cgk-preview GitHub: https://github.com/Intelligent-Internet/CommonGround/
Figured it out
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
View quoted postThis (Antiqua et Nova) is an interesting read ahead of Magnifica Humanitas release https://www.vatican.va/roman_curia/congregations/cfaith/documents/rc_ddf_doc_20250128_antiqua-et-nova_en.html
Anyone with decent knowledge of catholic theology able to tell me what I should be reading in anticipation of Leo's upcoming AI encyclical?
View quoted postRT Max Zhdanov 🌍Today we release Mosaic, a probabilistic weather model that shifts the Pareto frontier of ML weather forecasting. It matches the skill of state-of-the-art models while generating a 24-member, 10-day global forecast in under 12 s on a single H100. Thread!
Shouldn’t this mean > $100b in charitable giving for effective altruism adjacent projects from Anthropic founders & team members alone?
New blog post: The third wave of American philanthropy Hundreds of billions of dollars in new philanthropic capital will soon become liquid. The OpenAI Foundation holds 26% of OpenAI, worth about $220B at today’s valuation. Anthropic’s seven co-founders have pledged to give away
View quoted postRT Peter H. Diamandis, MD This is the Build with Gemini XPRIZE. $2,000,000 in prizes. 90 days. Pick a problem worth solving. Build a profitable business with AI. Grand prize: $500K in cash.
Seems a lot of autoregressive models will be converted to diffusion models
Can’t wait for Gemini Omni in @NotebookLM cinematic explainer videos 👀
Go join Monastery accelerator with our friends @cyberfund $2m uncapped note, 12 week program, let's see if we can get the 1 person AI-assisted unicorn
Introducing the Monastery for AI-native founders. A single builder can now outperform a publicly traded company. $2 million. 12 weeks. Do the impossible.
View quoted postAs companies approach AGI it would be illogical for most not to go and work there. AGI is a much bigger deal than most people still seem to believe & it is only by most forecasts a few years away (if not arrived already!).
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.
View quoted postRT Mati Staniszewski Albert Einstein + ElevenLabs. AI agents can make education more accessible - a teacher for every student in every field. A classroom size of one learning from icons who shaped the world Today with his estate, we’re bringing Albert Einstein to ElevenLabs
So would this be legal under the ruling: Set up a charity, raise $100m etc When setting it up say you may set up a for profit & raise billions Three years later set up for profit with IP transferred from foundation Give yourself equity Profit?
Regarding the OpenAI case, the judge & jury never actually ruled on the merits of the case, just on a calendar technicality. There is no question to anyone following the case in detail that Altman & Brockman did in fact enrich themselves by stealing a charity. The only question
View quoted postThis is such an interesting chart layout, like it a lot! Congrats to @cursor_ai team on the 2.5 launch 🚀
Composer 2.5 is exceptionally intelligent and up to 10x more efficient than similarly capable models.
RT Oliver Cameron Introducing Starchild-1 from @odysseyml, the first ever real-time multimodal world model. This a model that can generate interactive simulations of the world that you can—for the first time ever—hear. Starchild-1 represents a big step towards a general-purpose world simulator.
RT Yining Karl Li This was 10 years ago so I'm a bit hazy on details now, but there were a few shots in this sequence that required a TB of RAM for water sims, and it was really late in production, so our solution was to cannibalize RAM from multiple machines and build some 1 TB RAM servers.
Moana saving Te Kā and restoring Te Fiti in Moana (2016) is still one of Disney’s most beautiful animated sequences. Moana realizing the monster was never meant to be destroyed in the first place. Pure emotional payoff.
View quoted postRT Martin Hebart I'm proud we are releasing LAION-fMRI, a densely sampled 7T fMRI dataset of natural images, with very broad stimulus sampling for testing countless hypotheses & deeply exploring brain representations. It is now available at https://laion-fmri.hebartlab.com/ What does LAION-fMRI offer? 🧵
Recursive self-improvement is very reasonably the greatest near-term threat to democracy & peace out there
New letter from 35 (!) members of Congress to the White House urging action post-Mythos. Most of the letter is about cyber risk, but also discusses importance of non-cyber threats as well. "As general-purpose models improve, they may acquire new capabilities in cyber, chemical,
Who’s building nanobots? Seems the last leg of Kurzweil’s predictions
The total addressable market for humanoid robotics may well be larger than the TAM for human labour
Spent some time this week looking at the economic impact of humanoid robots and its so much bigger than digital AI The numbers get very crazy, has anyone dug into it and not found this the case?
View quoted postI discuss this applied to economics in The Last Economy with reference to Smith, Marx & Hayek Harmonic flow is the landscape itself https://ii.inc/web/the-last-economy/chapter-9
The Helmholtz decomposition is one of the fundamental results of vector calculus. It says any well-behaved vector field can be split into two parts, one capturing sources and sinks through divergence, and one capturing rotation through curl.
View quoted postSpent some time this week looking at the economic impact of humanoid robots and its so much bigger than digital AI The numbers get very crazy, has anyone dug into it and not found this the case?
Team @grok @xai can you please allow latex uploads on mobile app thx
RT virushuo 20 years ago, my first startup was all about enterprise search. Two decades later, we’re still building search engines. The technology has shifted from NLP to NN and the users from humans to agents. but searching is still the core. opensource the fastest bm25 engine:
so we built psql_bm25s. exact BM25 retrieval. native Postgres access method. ~23x faster than pg_search on the standard benchmark. retrieval stops being a budget item. the harness stops rationing. the agent gets to look things up like it should have the whole time.
RT Zyphra Re Training a diffusion LLM from scratch is challenging, and diffusion inference advantages don't show up at training. So we convert instead. Building on the TiDAR recipe, we take ZAYA1-8B-base and run diffusion-conversion mid-training plus diffusion-SFT on our existing stack.
RT Alex Rampell Re one time a reporter did an "expose" on a founder I backed whose last company failed...here's how I responded: Wow, you discovered that [last company], despite years of trying, eventually didn’t work. Should [CEO] be sent to Roman Debtors’ prison? Maybe hanged, drawn, and quartered? When a company doesn’t work, people lose their jobs and investors and creditors lose. It’s part of business. So is doing something new. This is like doing an expose on the chef whose last restaurant failed and dared to start a new one.
RT Azeem Azhar I spent a week on the ground in China visiting 14 AI labs. The more I saw, the clearer it became that export controls may have inadvertently created a durable efficiency moat – Chinese labs are extracting 4-7x more intelligence per unit of compute and serving it at a fraction of Western prices. https://www.exponentialview.co/p/inside-chinese-ai-labs-efficiency-moat
RT Alec Helbling The Helmholtz decomposition is one of the fundamental results of vector calculus. It says any well-behaved vector field can be split into two parts, one capturing sources and sinks through divergence, and one capturing rotation through curl.
Each round founders should take <runway> years worth of comp as secondary & pay themselves just enough for health insurance Far more tax efficient than primary => salary
In case you were wondering where we're at in the cycle, I just heard about a seed round where the founder is selling secondary
View quoted postRT Bo Belmer /brainpower_podcast/season_2/episode_3/emad_mostaque is live featuring @EMostaque (Founder of @ii_posts). Hosted by @DJohnstonEC (@MorpheusAIs) & myself!
When you want to move from single agent SQLite on something like QMD, PostgreSQL is a great choice for multi agent and production quality, but not as snappy. So we made it much more snappy with BM25 & open sourced it. More soon for planetary scale sovereign agents
so we built psql_bm25s. exact BM25 retrieval. native Postgres access method. ~23x faster than pg_search on the standard benchmark. retrieval stops being a budget item. the harness stops rationing. the agent gets to look things up like it should have the whole time.
Trial lawyers missed a great chance to ask everyone on the stand, under oath, what their definition of AGI is
sam altman, under oath, clarifies that microsoft will lose access to openai’s research IP “after AGI” sam: “we separated it into research IP and product IP; microsoft no longer has rights to research IP, they will continue to get product IP through the end of 2032” attorney:
View quoted postWhat is everyone's favourite platforms for Seedance and Happy Horse etc
What if Anthropic voids the FTX sale
Anthropic shareholders who thought they sold their stock 60x ago but the sale was just voided
View quoted postRT David Louapre Meet physics-intern🧑🎓, our agentic framework for theoretical physics. It takes Gemini 3.1 Pro from 17.7% to 31.4% on CritPt, a new SOTA on one of the hardest benchmarks for LLMs. Theoretical physics is hard for humans and LLMs alike. But physics-intern decomposes problems and dispatches them to a team of specialized agents, solving research-level questions far more effectively than the base model alone.
RT Dexerto The original "Leeroy Jenkins" video was first uploaded to the WoW fansite Warcraft Movies on this day 21 years ago
RT @ii_posts: New research: long-running agents often fail by stopping too early, not because the model can't make progress. We tested 5 h…
RT @PalisadeAI: Over the past year, AI agents have learned how to self-replicate. In our test environment, an agent hacks a remote computer…
RT Timothy Gowers @wtgowers Re But if AI mathematics continues to progress at anything like its current rate -- which is what I expect to happen -- then we will face a crisis very soon, and mathematics departments, who owe a duty of care to their students, should be urgently preparing for it.
RT Intelligent Internet New research: long-running agents often fail by stopping too early, not because the model can't make progress. We tested 5 harness designs across 8 long-horizon coding tasks. Our new orchestration harness, Zenith, wins 5/8 at 43% the cost of the strongest baseline.
RT Ryan Petersen Financial Times perfectly illustrates our possible futures
RT Intelligent Internet One-shot continuous video, from a single prompt. Made with Factory™️
Tokens are the bricks by which the information superhighway is being rebuilt. There is a lot of information. It'll need a whole lot of bricks.
RT Zyphra Today we're releasing ZAYA1-8B, a reasoning MoE trained on @AMD and optimized for intelligence density. With <1B active params, it outperforms open-weight models many times its size on math and reasoning, closing in on DeepSeek-V3.2 and GPT-5-High with test-time compute. 🧵
This likely costs about ~$500m a month, ~$6bn a year to rent blended Which is about the run rate net loss of xai end of q1 Anthropics revenue run rate was $9bn end of 2025, $30bn a month ago
Our agreement with @SpaceX means we will use all the compute capacity at their Colossus 1 data center. This will give us over 300 megawatts of additional capacity to deploy within the month.
View quoted postRT Intelligent Internet Introducing Factory Describe your idea in one sentence and Factory builds the first draft of the production for you. It plans the scenes, chooses the models, generates the assets, and wires everything together on an editable infinite canvas.
RT Intelligent Internet London AI people, film night? Join @EMostaque at AI Movie Club x Blade Runner for an AI chat, then the film. 📍Kensington Central Library 📅Thurs 28 May, 18:00 🎁 Free event + SWAG for early arrivals.
The economic & social disruption from nearing AGI will be bigger than just about anything we have seen I expect the frontier labs to be nationalised There is a chance top researchers get conscripted Real Manhattan Project but bits not atoms
SITUATION BREWING: The White House is considering new requirements for government oversight of frontier AI models before release, a major shift on the Trump administration's laissez-faire AI policy.
View quoted postRT Ricardo Olmedo We fine-tuned Alec Radford’s 1930 vintage LLM to solve SWE-bench issues. After just ‼️250‼️ training examples, the model solves its first issue, a simple patch to the xarray library. 🧵👇
Number 1 @OpenAI Codex request: plz let us use gpt pro in it Or someone compare gpt pro to x high
It seems @OpenAI has cracked recursive self-improvement for Codex
Do you use normal or extended thinking for GPT 5.5 Pro
Pretty sure it’ll be like this
good morning from day three of the Elon Musk vs. OpenAI trial from inside the Federal Courthouse in downtown Oakland! follow me and @CadeMetz for coverage here and for my delightgful color commentary on twitter http://nytimes.com/live/2026/04/29/technology/openai-trial-sam-altman-elon-musk/heres-the-latest
View quoted postLooking forward to the work coming out of @IneffableLabs 🇬🇧 Largest EU/UK raise ever 😮 Beat the previous UK largest seed raise ($101m Stability AI!) by $999m 🚀 We have seen amazing things on our self-learning models so bullish on this approach 🤓
Introducing Ineffable Intelligence. Led by David Silver, we're assembling the best engineers and researchers in the world to make first contact with superintelligence. We’ll be solving the hardest problems in AI on the way. Come join us. http://ineffable.ai
RT Tad Smith 👀 The most interesting people in the most exotic places can occasionally be persuaded to talk about NFTs, digital collectibles, and even @CandyDigital! Try it sometime just in case it catches on… 🔥🚀📈 🤫 @RaoulGMI @Blondie23LMD @BittelJulien @EMostaque @RealVision 👇
I don’t think there will be any coding models 3-4 years from now.
completely disagree. buying Cursor is a genius move by Elon. wouldn't be surprised if xAI had the best coding model 12-18 months from now
View quoted postRT The Render Network "I think that the holodeck is near again minus the hardlight holograms etc. - We’ll be able to have that, with our 3D glasses, with the ocular occlusion and more…” https://x.com/rendernetwork/status/2047407574987735394/video/1 @EMostaque breaks down how diffusion models are learning real-world physics, why open-source world models are arriving faster than expected, and why access to compute becomes the critical layer as these experiences scale. #RC2026
Given how good gpt-image-2 is it’s an absolute puzzle OpenAI shut down Sora
Bet this happens with Navier Stokes and it’s going to be something not even related to PDEs that solves it
23 years old with no advanced mathematics training solves Erdős problem with ChatGPT Pro. "What’s beginning to emerge is that the problem was maybe easier than expected, and it was like there was some kind of mental block.”-Terence Tao https://www.scientificamerican.com/article/amateur-armed-with-chatgpt-vibe-maths-a-60-year-old-problem/
View quoted postRT Fengzhuo Zhang The Newton–Schulz iteration coefficients optimized by DeepSeek-V4 are surprisingly strong: they effectively normalize all singular values to 1. This matches our previous intuition: a well-balanced spectrum may help strike a better balance across long-tail knowledge. Plot code: https://github.com/FengzhuoZhang/dpsk_v4_muon/blob/main/coefficient_figure.py
Why does Muon outperform Adam—and how? 🚀Answer: Muon Outperforms Adam in Tail-End Associative Memory Learning Three Key Findings: > Associative memory parameters are the main beneficiaries of Muon, compared to Adam. > Muon yields more isotropic weights than Adam. > In
RT Intelligent Internet In 1982, Blade Runner was speculation. In 2026, it's the conversation. Memory, personhood, alignment, what we owe the minds we build. Watching it Thursday 28 May, Kensington Central Library. Come think it through with us.
Congrats to @deepseek_ai team! Doing the numbers I would estimate: Pro < $14m for the final training run Flash < $4m Ratio of active params x total training tokens vs v3 Total compute costs (data prep, tuning, testing) ~10x that Cost of taste: priceless
🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params.
Necessity is the mother of kv-cache optimisation
I’m still amazed that DeepSeek, Kimi, and Qwen can train very strong LLMs with far fewer and often nerfed NVIDIA GPUs, or even Huawei chips. DeepSeek V4 report shows they invent new attention architectures to make training/inference more efficient. Creativity loves constraints.
View quoted postCongrats to @deepseek_ai team! Fwiw doing the numbers I would estimate Pro cost < $14m for the final training run & Flash < $4m This is straight from ratio of active params x total training tokens vs v3 Total overall compute costs (data prep, tuning, testing) probably 10x that
🚀 DeepSeek-V4 Preview is officially live & open-sourced! Welcome to the era of cost-effective 1M context length. 🔹 DeepSeek-V4-Pro: 1.6T total / 49B active params. Performance rivaling the world's top closed-source models. 🔹 DeepSeek-V4-Flash: 284B total / 13B active params.
RT The Render Network At #RenderCon2026, @EMostaque makes the case during How to Build the Holodeck that stories still matter, IP still matters, but the barriers to building entirely new experiences are dropping faster than we've ever seen before, with compute being the last real limiter. Full talk:
RT Intelligent Internet Oh?
Today we release a novel AI-assisted resolution of one of physics’ longest-standing questions. Given only: • Relativity as an axiom • One characteristic of the algebra A positive cosmological constant is forced. The universe expands.
View quoted postBy end of next year. End of year after for 16gb vram. Do folk really need more for most things? Not really. But just call the cloud models when you do.
What's a reasonable timeline for a GPT 5.4/Opus 4.6 level LLM that runs locally on a good Macbook 10 years? much less? much more?
View quoted postRT Liron Shapira 🔥 Emad Mostaque on Doom Debates 🔥 @EMostaque helped kick off the modern AI revolution as the head of Stability AI, the company behind Stable Diffusion. But unlike most AI CEOs, he doesn't sugarcoat the risks of AGI development — he's upfront that his P(Doom) is 50%! In today's Doom Debate (or should I say Doom Consensus), Emad explains why we have less than 1,000 days to get our act together, and how his new startup (Intelligent Internet) could potentially make the nondoom scenario go better. We cover: ⬜ What's Your P(Doom)?™ ⬜ Cognitive labor going to zero ⬜ Why ASI doesn't need massive compute ⬜ Is there a ceiling above human intelligence? ⬜ Corporations as slow, dumb AIs ⬜ Emad's mainline doom scenario ⬜ Jailbreaks and "Mecha-Hitler" latent spaces ⬜ The Last Economy / Economic Doom ⬜ Why isn't Google stock mooning? ⬜ Intelligent Internet as a solution ⬜ Can an aligned network stop a rogue ASI? ⬜ Is the Pause AI proposal too late? Highly recommended! 👇
RT Intelligent Internet Today we release a novel AI-assisted resolution of one of physics’ longest-standing questions. Given only: • Relativity as an axiom • One characteristic of the algebra A positive cosmological constant is forced. The universe expands.
RT Chris Hayduk A couple of months ago, I announced that I was partway through implementing a simple, readable AlphaFold2 in pure PyTorch, inspired by @karpathy's minGPT. Today, I'm happy to share minAlphaFold2 - the completion of that project. Repo link: https://github.com/ChrisHayduk/minAlphaFold2
I kinda think it would be interesting to have a structure where founders take 2 and 20 2% management fee on capital raised for running the company 20% of any exit Single magic share with lots of voting rights In line with their VCs
Founding CEOs typically own around 15% of their VC-backed company at IPO. But it can vary widely. The Mailchimp founders, for example, bootstrapped and owned 100% of the company at exit when Intuit acquired them for $12 billion (!). While the DocuSign founder owned just 1.5%
Physics paper in, manga out
We are happy to share early results from Logos, our novel first-principles augmented intelligence system, that has enabled insightful results across domains. We start with series of results in physics Today's is a lovely result hiding in Special Relativity for 121 years.
View quoted postRT Prof. Brian Keating AI Insider: "Adding a Human Makes Your Team Worse" Emad Mostaque | @EMostaque TIMESTAMPS : 00:00 The models too dangerous to release 10:06 Why physics needs axioms — and AI doesn't 11:43 The MIND framework most AI researchers won't use 17:36 The universe might be a computation 30:34 Should we let AI fly planes? 39:43 AI just invented a game no human could design 44:43 Why AI will cost almost nothing in 18 months 51:46 Can religion survive superintelligence? 57:36 The AI companion problem nobody talks about 01:03:20 Why personalized AI is more dangerous than AGI 01:11:18 The forgotten link between God and science 01:26:32 800 days: what happens next
gpt image 2 can do some reallly hard prompts well I present - the periodic table of Pokémon
ok so... gpt image 2 did this pretty well not everything here is perfect and a lot of the images are off but a HUGE leap from the image below again, this was designed to be *very* hard
Imagine if they add document signing to Claude :o
In Cowork, Claude can now build live artifacts: dashboards and trackers connected to your apps and files. Open one any time and it refreshes with current data.