Muhammad S. Abdo @AI4Language

We're starting to leave the territory where you'd test an LLM by e.g. "create an svg of pelican on a bicycle". As one idea to generalize it, I was interested what Opus 5 would do if I gave it the first paragraph of the Lord of the Rings, a 1M token budget (~$10) and asked for three js render of it. Opus went off for ~2 hours and wrote 5500 lines of code that (procedurally) rendered the story. It's kind of janky but fun. But it's a bit mindboggling that the LLM has to place and orchestrate various polygon assets in (x,y,z) coordinates and write code that animates it all, and that it even does anything at all. I also like this kind of examples because no one in their right mind would ever spend the time to write something this custom but LLMs have all the stamina and patience in the world, so it's an example where we go from "no one would ever do this" to "sure, why not, it's ~free". There might be a lot more. But I'm excited about creating hyper custom worlds that you can imagine dropping players into, e.g. here to participate in the LoTR story as a spectator NPC, or one of the characters, or etc. Something like an ephemeral GTA of X on demand. Last thought is that the domain of worlds/games exposes a weakness in LLMs: they can't easily audit their work because they aren't able to efficiently and natively perceive videos or play games within them. Here, Opus 5 had to very slowly and painstakingly take screenshots at different points, and it messed up a few times and created a bunch of jank. An example of raw capability (multimodal, gameplay) that I think is still quite lacking.

We’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disciplines.

There you go!

devalopr @_devalopr

a week ago

It's completely unnecessary to destroy books when machines like this exist. This book scanner by Treventus for example, can scan fragile books without destroying it.

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!!!!!

Shruti @heyshrutimishra

7 days ago

WTF AI companies are purchasing large quantities of used and rare books. Scanning their contents to train models. Then turning the originals to pulp. The sum of human thought, digitized and shredded. Every book that gets scanned disappears from the physical world permanently.

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The Call for Papers for the Thirty-Ninth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-27) is now available. IAAI-27, co-located with AAAI-27, will take place February 18-20, 2027, in Montreal, Canada. IAAI-27 is a venue for papers describing highly innovative realizations of AI technology. Proposals should be submitted via the online submission site. Please visit the Call for Papers for full submission requirements including a link to the submission site: aaai.org/conference/aaa…

@OpenAI Only undergrads? Nothing for grad students? :)

Fifteen years ago, @Coursera and online courses changed education. It worked better than almost anyone expected, expanding access by opening up where you can learn. But how you learn remains largely the same as it has for centuries: it is still one-size-fits-all, taught the same way to each person who shows up. We now have an opportunity to change how learning happens. With advances in AI, we can now build a custom learning guide for each person. We will turn learning from one‑to‑many to one‑to‑one. I'm starting LearnVector to invent this next generation of learning. We are starting with a $100M investment from Coursera, and plan to collaborate closely with Coursera and Udemy. Good learning needs much more than just a chatbot. Research shows that chatbots without guardrails harm learning. They help complete tasks and enable students to do better on homework. But cognitive offloading to a chatbot results in them being less skilled. And, you cannot always trust what a chatbot tells you. In contrast, LearnVector will plan a path with you, adapt to how you learn, and patiently stay with you until you’ve mastered new skills. One thing has not changed in all this time. People want learning they can trust: material that is accurate, relevant, and worth the effort you put into it. Anything less wastes the most valuable thing a learner has: time. Coursera has a trusted library of materials from authoritative sources. LearnVector plans to work with Coursera to bring this trustworthy learning to everyone. I'm grateful to Greg Hart and the entire Coursera team for supporting LearnVector. I look forward to working with our talented team to change how we learn, and accelerate human development. learnvector.ai

At the core of our mission is working through how to ensure increasingly powerful AI benefits everyone. We believe that, at some point in the future, AI acceleration for frontier model development may be so high that the world will need to pace the rate of AI advancement. We hope to contribute to work led by the U.S. government, alongside other labs and the open-source community, to develop the tools and mechanisms that could make that possible. pacingthefrontier.com

@eigentopology @thesis_labs visa sponsorship?

There's a "bouba-kiki space" inside LLMs "Spiky-sounding" and "round-sounding" words align on opposite ends of a specific direction in Llama & Gemma's activations, independent of their meaning, mirroring the famous bouba-kiki effect

Attackers have frontier AI. Defenders need a frontier AI ecosystem—the best open and closed models, force-multiplied by a global community. During the Hugging Face incident, closed AI blocked essential forensics. An open-weight frontier model helped contain the intrusion. That’s why we created the Open Secure AI Alliance.

NVIDIA @nvidia

a week ago

AI security advances when the industry builds in the open, together. We're introducing the Open Secure AI Alliance with industry leaders to develop new techniques and tools to safeguard software and agents. By sharing models, tooling and research in the open, we can broaden the

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🤣🤣🤣😂😂

aly kh (3alawy) @aloli51

a week ago

ايه ده 😂😂😂

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Announcing OpenWorker! An open-source agent that doesn't just chat with you, but delivers finished work -- like hand you a polished document, send a slack message, or update a calendar entry. Ask it to prepare a customer brief, untangle your calendar, draft a report, or triage a Slack alert. It works across your files and everyday tools, produces the deliverable, and checks in before doing anything consequential. OpenWorker runs on your Mac, with Windows support coming soon. It does not lock you into any one model. Bring your own API key and run it with GPT 5.6 Sol, Claude Fable, Gemini 3.6, an open weight model (like Kimi, GLM, DeepSeek, Inkling), or Ollama to keep your data local. Your data does not leave your machine except through an LLM provider and integrations that you choose. @rohitcprasad and I are building OpenWorker because AI coworkers are an important way to get work done, and we want there to be an open, privacy-preserving, model-independent option. Check it out and let us know what you think! Try it out: openworker.com (requires your own API key) Source code: github.com/andrewyng/open…

For my first post, I’m sharing a letter @NVIDIA signed on why open models matter. AI will transform every industry, power every company, and be built by every country. Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty. The world needs both frontier closed models and frontier open models. images.nvidia.com/pdf/Open-Weigh…

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15 AI Research Papers Every AI Engineer Should Read 1. Attention Is All You Need (Transformers) arxiv.org/abs/1706.03762 2. LoRA: Low-Rank Adaptation arxiv.org/abs/2106.09685 3. PEFT (Parameter-Efficient Fine-Tuning) arxiv.org/abs/2303.15647 4. An Image is Worth 16×16 Words (Vision Transformer) arxiv.org/abs/2010.11929 5. Auto-Encoding Variational Bayes (VAE) arxiv.org/abs/1312.6114 6. Generative Adversarial Networks (GANs) arxiv.org/abs/1406.2661 7. BERT arxiv.org/abs/1810.04805 8. High-Resolution Image Synthesis with Latent Diffusion Models arxiv.org/abs/2112.10752 9. Retrieval-Augmented Generation (RAG) arxiv.org/abs/2005.11401 10. Language Models are Few-Shot Learners (GPT-3) arxiv.org/abs/2005.14165 11. Switch Transformers (MoE) arxiv.org/abs/2101.03961 12. Learning to Summarize with Human Feedback (RLHF) arxiv.org/abs/2009.01325 13. LLaMA: Open and Efficient Foundation Language Models arxiv.org/abs/2302.13971 14. RoFormer: Rotary Position Embedding (RoPE) arxiv.org/abs/2104.09864 15. InstructGPT arxiv.org/abs/2203.02155 Reading papers is one thing. Understanding why each changed the field is what makes you a stronger AI engineer.

meta-tokens :)

Neel Nanda @NeelNanda5

2 weeks ago

I found meta-tokens pretty surprising! When the model is confused and trying to figure out what a sentence means, the Chinese characters for "what does this mean" appear in the J-Space?!

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Football won

Qwen3.8 is launching and going open-weight soon!🌐 With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5. You don't have to wait to test it. Just now, the Qwen3.8-Max-Preview made its debut on Alibaba’s Token Plan, Qoder, and QoderWork. Be among the very first to try it out. Can't wait to hear what you build. Stay tuned! 🚀  Token Plan international：qwencloud.com/pricing/token-… China：platform.qianwenai.com/pricing/token-…

@chrmanning @psresnik To be honest, contemporary computational linguistics conferences have heavily shifted toward machine learning. Language and linguistic research now receive minimal representation at the majority of these events.

Our first model, Inkling. Trained from scratch, weights are open, fine-tunable on Tinker today.

Thinking Machines @thinkymachines

3 weeks ago

Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. thinkingmachines.ai/news/introduci… Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

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