Announcing ARC Prize Research Summit 2026 Keynote Speaker Kenneth Stanley @kenneth0stanley is a pioneer in neuroevolution and open-ended AI, co-creator of NEAT and novelty search, and co-author of “Why Greatness Cannot Be Planned.”
Try Luma - https://app.lumalabs.ai/?utm_source=x&utm_medium=p-social&utm_campaign=q4-brand&utm_content=leadershippov&utm_aud=plg
To be agonizingly clear, the context of this quote was people talking about imagining things in the future, and noting that even though the singularity is confusing, it's possible to imagine things beyond it - like heists.
What if an icon could do more than identify a product, but mirror its purpose? Explore the thinking behind the evolution of the Copilot icon: https://msft.it/6010aW3dn
muse touch bar !!
Try it today: https://www.together.ai/link
iSono Health's FDA-cleared ATUSA wearable 3D ultrasound captures a breast volume in about two minutes per breast, compared with up to 45 minutes for handheld ultrasound, and is commercially available through partner clinics in several U.S. states. Whiterabbit.ai's FDA-cleared WRDensity software automatically assesses breast density from mammograms, while Ataraxis AI is building models that predict treatment response from digital pathology slides.
Clippy and ChatGPT Pets << Microduck This creature needs to be integrated into our lives at the OS level kudos @mattt
$2.6M house in SF vs. $22,000 house in Japan which way western man?
this is so stupid. there is an inner ring of effective altruists and they are well on their way to being trillionaires, or they’re professors at Oxford, or have a tremendous political lobbying machine
Apple and Stanford researchers built two open-ended probes using a Wizard of Oz technique so participants could train personalized machine learning systems on phenomena they defined themselves. In a week-long exploratory study, participants identified four sites where ontological boundaries were negotiated: the boundaries of a phenomenon, the subject as part of relations, signal versus noise, and the objectivity of data. The paper offers starting points for supporting boundary negotiation through design.
Sakana AI will hold a free, English-language symposium in Tokyo on October 26, 2026, featuring a keynote and Q&A by Jürgen Schmidhuber, who recently joined as Chief Scientific Advisor. Sakana AI researchers will also give short talks on their work at the RSI Lab, and registration is required because seating is limited.
Dots love nothing more than getting to reducing your backlogs / lists of tasks!
nostalgia going off
Jürgen Schmidhuber's Formal Theory of Fun and Creativity, which links compression progress to beauty, curiosity, art, science, music, and jokes, was published in a Japanese scientific journal in 2009. The post's author noted that the framework was laid out in full formal detail about 15 years earlier. The idea was first proposed by Schmidhuber in the 1990s.
8-bit muse alert — coming to a device near you
The author finds chatting with LLMs exhausting due to three traits: verbose answers that add unasked content, frequent omitted objects that require rereading, and avoiding repeated terms by switching to new wordings. The post likens the behavior to a pedantic person who overuses obscure phrasing and jumps between associations.
Now that we've had a few days with it, how are people differentiating between Dot and regular ChatGPT? I'm having trouble deciding when I should prompt Dot vs using ChatGPT - my Dot seems to afford a single conversation, but I like controlling my context across multiple threads
cool project by @dbreunig in langchain this is ModelRouterMiddleware - jev reads the first message, picks the model, and that model handles the whole run jev is cheap enough that you can also re-pick after each tool result with a custom hook docs: https://docs.langchain.com/oss/python/integrations/providers/typesafe#model-routing https://x.com/dbreunig/status/2106456056042025235
IndexTeam released Index-Nailong-9B-FP4, an official NVFP4 (W4A4) quantization of the Index-Nailong-9B multilingual translation model, which covers 150 languages. In a validation on an NVIDIA A100 against the BF16 checkpoint, perplexity rose 3.10% (2.4339 to 2.5094), and zh-en and en-zh outputs were semantically equivalent. Full FP4 compute acceleration requires an NVIDIA Blackwell GPU, while older GPUs get memory savings only; the FP8 build is recommended for Hopper and Ampere.
AI can fill a page, but not your thinking.
Learn about confidence here: https://docs.typesafe.ai/confidence#how-confidence-is-calculated
Fun meeting Woz at @supabase select!
https://x.com/0xbisc/status/2100814214730493985?s=20
Thank you to The Korea Society for honoring @JensenHuang with the 2026 Van Fleet Award and celebrating the U.S.–Korea partnership. We’ve worked with Korea for more than 25 years, and we’re proud of what we’ve built together. Looking forward to what comes next.
@advertisingweek @krea_ai @fal @magnific 🎙️ The New Creative Stack: AI Video, Brand Control & the Future of Advertising w/ Helena Grau i Miarons (@krea_ai), Nina Gerov (@fal), Claire Xue (@magnific), @RenLeanna & @MorganSuoinMM (@MiniMax_AI) 📅 Thu 10/8 · 2:30 PM ET · Innovation Stage 🔗https://newyork2026.advertisingweek.com/aw/schedule/session/-805-2026-10-08-1510-session
5️⃣ Arithmetic Physics: Researchers working with Muse Spark connected an idea from number theory with a calculation in string theory. They proved the link works in more cases than previously known, building on ideas from the 1980s. Read the paper: https://ai.meta.com/research/publications/string-two-point-function-height-function-on-a-curve/
1️⃣ Probability: Mathematicians worked with Muse Spark to answer a question about fitting random points onto the surface of a stretched sphere. For the setting studied, they proved a sharp cutoff between when an exact fit is likely and when it is unlikely. Read the paper: https://ai.meta.com/research/publications/the-strict-threshold-for-gaussian-ellipsoid-fitting/
Go behind the scenes with Braylon Browner and Emmy award winning choreographer/director Nina McNeely to see what it takes to go from dance, to song, to complete creative world built around movement.
Learn more ↓ https://blog.google/innovation-and-ai/models-and-research/google-research/google-project-suncatcher-facts/?utm_source=tw&utm_medium=social&utm_campaign=og
One of the truly great challenges of our time
Paril Jain, co-founder and CTO of The Bot Company, and Quan Vuong, co-founder of Physical Intelligence met on the Runway AI Summit stage to talk real-world evals, deploying robots in the field and where robotics will be in three years.
opus5.5 is still so impressive. https://goodcase.ai directly shows an improvement of over 20% across multiple platforms under all network conditions.
The post is a reflection from Vaibhav Srivastav after returning from OpenAI DevDay, citing a full-house talk, model and product launches, and extensive testing and feedback. He thanks his team and the community for sharing how OpenAI's products affect their lives, and mentions upcoming DevDay Exchange events.
Creative director Johnson Sheng tested Kling 4.0 for commercial video production, focusing on stability during fast camera moves and dynamic action. He reports stable motion in whip pan and handheld push-in shots, a 30-second single-take fight scene, and consistent props and characters across scene changes. The post also covers performance and emotion control through prompt adjustments and multilingual generation. Kling states Kling 4.0 is in closed beta with an official launch planned for October, supporting up to 4K resolution and 10-bit HDR output.
Tool definitions and tool-call responses differ between OpenAI, Anthropic, and Google, so a tool that works on one model may fail on another. The article compares six agent frameworks, including LangChain, CrewAI, and the OpenAI Agents SDK, by where each performs schema translation. It also describes OpenRouter's API-layer normalization, which accepts an OpenAI-style tools array and returns a standard tool_calls response for tool-capable models.
as a journalist its my duty to make this about me https://x.com/kyliebytes/status/2105405334764605623?s=20
Fireworks reports that numerical mismatch between training and rollout engines can destabilize reinforcement learning, with a GLM 5.2 experiment showing collapsing reward without alignment and stable reward with it over 25 steps. The post notes that MoE models add further alignment challenges, as Qwen3.5-MoE differences in expert output combination caused disagreement even when one implementation used higher precision. Fireworks says it co-develops its trainer and rollout engine to keep frontier RL training aligned across numerics, kernels, and MoEs.
Important update. 🔥 Meet the @adaption_ai Grady plushie.
Gamma Chief AI Officer Deeni Fatiha, Adobe Director Morgan Prygrocki and Shane Tapp of Salesforce Global Brand Marketing discussed what changes when creative AI moves from experimentation into production.