may hamri retweeted
Introducing AgentReady.org, the first open standard for agent experience.
Agents are a new class of user, but there's still no shared definition of what it takes to be ready for them. So we partnered with the leading companies in the agentic web such as Vercel, Stripe, Auth0, Mintlify, Tavily and Elementor.
Our research lab ran agents on real tasks more than 250,000 times to measure what actually decides whether an agent succeeds, and every requirement traces back to that data.
The result is a short set of essentials in the order agents meet a product: find, read, act.
We've been overwhelmed by requests to join. If you build or study the surfaces agents touch, come help shape it.
The spec: agentready.org
The story behind it: ora.ai/blog/agentready-launc…
Accepted to #NeurIPS2026! 🎉
🦓 New paper: ZEBRA - Your AI agent has $10 to spend on a coding task across planning, implementing, and refining. How should it split the budget?
We turn budget allocation into a knapsack problem, solved zero-shot at inference time.With @InbalTalgam 👇 [arxiv.org/abs/2605.20485]
may hamri retweeted
You ask for a talking parrot, but the model makes the pirate talk AND gives him a beak! 🦜😮💨
-> Introducing The Attention Triangle in Audio-Video Models: how semantics leak between text, audio, and video, and how we steer them back. 🧵 [1/5]
may hamri retweeted
Robot policies can move but can't think.
LLMs can think but can't move.
So we connected them.
Real robot: 16.7% → 97.3%
Sim (LIBERO-PRO): 12.8% → 53.3%
🦓 New paper: ZEBRA - Your AI agent has $10 to spend on a coding task across planning, implementing, and refining. How should it split the budget?
We turn budget allocation into a knapsack problem, solved zero-shot at inference time.With @InbalTalgam 👇 [arxiv.org/abs/2605.20485]
may hamri retweeted
Gave a talk at @GoogleDeepMind on our joint work with @HazanPrinceton and @tri_dao on deployable RL policies for robotics. Great discussion with @JeffDean.
may hamri retweeted
[1/4] Sync about it… 💭✨
Editing a portrait video yet keeping it fully synced with the original across the entire sequence.
Read more about Sync-LoRA: sagipolaczek.github.io/Sync-… 🚀
may hamri retweeted
Feels like a dream! I’ve recently started my Ph.D. in Computer Science @Princeton! Working on exciting research with Professors @HazanPrinceton and @tri_dao 🤩
may hamri retweeted
[1/5] Rethinking SVGs, the implicit way — meet NeuralSVG! 🎨✨
An implicit neural representation for generating layered SVGs from text prompts.
💧 Powered by SDS and nested-dropout for ordered shapes
🖌️ Enables inference-time editing like color palette & aspect ratio
Read more on sagipolaczek.github.io/Neura… 🚀
may hamri retweeted
LLMs make factual mistakes, which is bad. How can we find these?
In a new paper, we introduce “LMvsLM”, and show that we can use one LM to detect the mistakes of another via "Cross-Examination".
Link: arxiv.org/abs/2305.13281
Check it out!
