Search: “models”

For anyone who isn't sure, this is how you release a model and talk about the performance. Not 3-5 cherry-picked benchmarks. Performance：Qwen3.7-Max performs strongly across benchmarks in coding agent

nor do we know how the (new) model works nor how it does on anything else nor how it was trained. scientists wait for facts; cheerleaders (over and over) rush to judgments that have often been wrong.

while everyone seems to be focused on text, vision, and audio, i'm excited to be backing a company building a foundational model for smell 👃 that's right, they've: - mapped how olfactory receptors rea

a general-purpose model solved a major open problem in mathematics. we'll be saying this a lot over the coming years, but this is a kinda big milestone. i'm very excited for AI to greatly extend our u

Love this concept. Always been a proponent of event-driven architectures, and the actor model. Neat to see how it’s applied to the agent runtime here. i'm excited to open source Active Graph: an event

We added 600+ new voices on Together AI! Introducing MiniMax Speech 2.8 Turbo on Together AI, an enterprise TTS model for expressive real-time voice agents. AI natives can now deploy @MiniMax_AI Speec

Ethan Mollick discusses how a model's instruction-following capabilities and video processing abilities expand its potential applications and use cases. He emphasizes that combining strong instruction

We just added Grok's new imagine model in Paper so you can explore images even faster. Here's what we found: - Super fast generations for the quality - Saves details when editing - Perfect for 30 rapi

A mental model for working with coding agents is that they're blind squirrels running into a maze and bumping into walls. You must place the walls (verifiable constraints) strategically so that they e

announcing deepagents v0.6, our biggest release yet! it’s all about performance: at the model layer w harness profiles, agent layer w code interpreter, and at scale w streaming and delta channels cont

Introducing Agora-1, a multi-agent world model. Multiple participants—human or AI—can now interact inside the same world simulation, all in real-time. Try our playable research preview today, with Ago

LangSmith Engine automates the full agent fix loop — detecting failures, diagnosing causes and drafting PRs. But multi-model enterprises say a neutral observability layer still wins. http://venturebea

okay maybe it's a good time? We have a small colbert model trained at pplx, it is a continue-training of pplx-embed-0.6b, so native multilingual, just made it open and added a section how to use MaxSi

Tesla Model Y's powered rear seats and trunk are equipped with automatic obstruction detection that causes them to automatically reverse and pop back up if an obstruction is detected during operation,

AI teams shouldn’t have to choose between expensive object storage and painful git workflows. @huggingface Storage is built for model weights, datasets, checkpoints and artifacts: - simple per-TB pric

We’re releasing a 30B-A3B reasoning model that reaches gold-medal level across both physics and math Olympiad evaluations: IPhO directly, and IMO/USAMO with test-time self-verification and refinement.

Dear AI labs, A neverending black and white kanban board modeled after Jira (no offense) is not what we want as the future of work. Give me flexibility. Give me delight. Give me color. Please create t

Model. Harness. Context. The 3 main components of agents. As you build more agents, context increasingly lives AGENTS.md, skills, policies, examples, + generated research files. Context needs its own

External content is scanned in parallel by ML classifiers and the BrowseSafe model before agents act on it. File connector data is encrypted in transit and at rest, uploaded files automatically delete

New paper: research agenda for secret loyalties Imagine a frontier model that has been trained to covertly advance a specific actor's interests (a nation-state, a CEO, an adversary). @joemkwon argues

PayPal runs 74,000 weekly tasks in Perplexity Enterprise. Teams use it for model validation, channel performance, market trend research, competitive intelligence, and product analysis. Read the custom

TST works in two phases. In phase 1, which covers the first 20-40% of training, the model reads contiguous bags of k tokens, with input embeddings averaged within each bag, and predicts the next bag o

Delighted to announce our 3rd world modeling workshop! After NYC and Montreal, we are now headed to Chicago! - August 31st to September 2nd - CfP and details on the website: https://wm-booth.org - @yl

🆕 Hugging Face 🤝 Hermes Agent 🔥 > we added Hermes Agent to local apps: run it locally with any compatible GGUF/MLX model > shipped native traces support for Hermes Agent: visualize your Hermes traces

Sam Altman comments on OpenAI's new ChatGPT model, noting that the combination of improved capabilities, personality features, and personalization options has crossed an important threshold of functio

The post discusses improvements in working with Horace (likely a tool or system) due to recent implementation of simultaneous speech capability in its underlying model. This advancement has made the i

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 har

Singling out this part: there is a deep bet in Chinese industry that the model layer is the full stack worth mastering. Visiting most of the leading Chinese AI labs, I'm struck by a culture that's ext

The gap between 'this looks cool' and 'I'm actually running it' used to be a day or two of setup. Not anymore. Deploy any Hugging Face model on the AI Native Cloud in a single session 👇🏼 https://www.t

MTSlive has uploaded a UFO dataset to Hugging Face, making it available for machine learning projects. The post is calling for developers and researchers to create the first computer vision model trai

We are less safe as a society by keeping Mythos (or any other smart model) tightly gated so only a few companies get it. Protecting 100 companies is not enough. There are 96 million open source projec

Generate 10 images in under 10 seconds. Introducing Grok @imagine Image Quality. A new image model in the Grok Imagine family that generates impressive realism, text rendering and prompt adherence at

Image Generation Quality Mode is now available on the xAI API. This model has already powered the generation of over 300 million images on Grok. It brings higher realism, stronger text rendering, and

It is remarkable how quickly this market shook out. Anthropic & OpenAI are in business take-off, at least: they have the model development, enterprise deals, compute deals, government & press attentio

OpenAI violated Canadian privacy laws in developing first ChatGPT model, probe finds https://www.theglobeandmail.com/business/article-openai-chatgpt-violated-canadian-privacy-laws-watchdogs-report/?ut

Use Quick Review for a fast local check before pushing: free with SWE-check, our specialized bug detection model built for this task. Use Devin Review for deeper PR review: smart diff organization, bu

Why are four of the top 10 trending vendors AI inference platforms? Companies are getting selective about which model handles which task, and routing tokens accordingly. Read more from @arakharazian a

We cut model cold-start times from minutes to seconds. 60x faster, saving thousands of GPU-minutes and hundreds of terabytes of transfers every day. It turns out GPUs already holding weights are faste

changing an agent's data model mid-deployment is one of those problems that breaks things silently the langgraph runtime (which powers deepagents) has built-in support for backward compatibility and s

Introducing Pinecone Nexus. A knowledge engine for agents. The bottleneck for production agents isn't the model. It's the per-query work of searching, stitching, parsing tables, normalizing labels. Ne

The artificial analysis index is a normalized score of several benchmarks (and has changed over time) it is fine for roughly comparing models, it is not useful for trend analysis and it is unclear wha

AI Value Capture - The Shift To Model Labs Vera Rubin VR NVL72: V for Value - Rubin delivers a step jump in performance per TCO. ROI accruing to users, Neoclouds, Hyperscalers, AI Labs, Memory Vendors

Exciting direction - can see immediate gains for many teams trying to prevent lockins for cost/legal reasons - my mental model on this is shaped by the meta-harness paper that we need to think of harn

Most model trainings outside of frontier labs fail. 📈 Because of bad or insufficient data. 🚮 Or just data for what you want + not general capabilities. 🎯 Most builders give up + become elevated prompt

Clem Delangue announced the publication of his first machine learning model on Hugging Face, expressing enthusiasm about the experience and indicating plans for future contributions. The post reflects

✨🧠 Tribe v2, our latest model of human brain responses to sound, sight and language can now be (partly) explored on your phone📱: ▶️demo: https://aidemos.atmeta.com/tribev2/ 📄paper: https://ai.meta.com