Search: “models”

SITUATION EXPLAINED: Why is restricting open source AI models structurally impossible? @ClementDelangue, co-founder and CEO of @huggingface: 'Open weights are fundamentally different than an API. The

Today, we are releasing Rampart: a 14.7MB machine learning model designed to protect citizens’ privacy by redacting personal information directly in your browser before it gets sent to any server A bi

Try SpaceXAI Voice models in the Vercel AI Gateway Grok's realtime voice is now on AI Gateway. Build with AI SDK 7: • 𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚟𝚘𝚒𝚌𝚎-𝚝𝚑𝚒𝚗𝚔-𝚏𝚊𝚜𝚝-𝟷.𝟶 (𝚞𝚜𝚎𝚁𝚎𝚊𝚕𝚝𝚒𝚖𝚎) • 𝚡𝚊𝚒/𝚐𝚛𝚘𝚔-𝚝𝚝𝚜 (𝚐𝚎𝚗𝚎𝚛𝚊𝚝𝚎𝚂𝚙𝚎𝚎𝚌𝚑) • 𝚡𝚊𝚒/

There's a big difference between a single model call and serving an agent at scale. @ZainHasan6 breaks down what actually changes. Catch our team this Monday at 9 a.m. PST for their open-source infere

Every enterprise will have its own model-harness-sandbox-eval flywheel with token value per watt optimization. This is the future. Simple reason: tacit knowledge about the domain and customers and the

not dunking on Dario here bc Mythos is to GPT2 what a lion is to a bumblebee, but it’s insane that GPT-2, and successive models, have had ~0% impact on causing bad universal outcomes & so SHOULD HAVE

xAI models now support Zero Data Retention (ZDR) on OpenRouter Developers can now use: • Grok 4.3 • Grok 4.20 • Grok Build 0.1 with Zero Data Retention enabled This means requests aren’t retained by t

Finally, AI finds its ultimate uncontroversial use. A diffusion model trained on burger recipes 'discovers the classic Big Mac without explicit supervision and generates novel burgers optimized for de

If you are on the verge of AGI or ASI, why isn’t your model smart enough to recognize espionage distillation in real time? You say “cure cancer in a few years.” Isn’t sniffing illicit distillation qui

June has been a dark month for the US generative AI industry, between hamfisted US policy and the transition to cheaper Chinese AI models. And then there is the delay of the OpenAI IPO. Is that the co

now seems like a good day to remind people we have an apache 2.0 coding model you can run with 20 gigs of ram locally for free forever. https://huggingface.co/CohereLabs/North-Mini-Code-1.0-w4a16 Its

The big lesson from training @cursor_ai Composer 2: models exploit flaws in their training environment before learning what you actually want. Real RL for coding agents means production-faithful envir

'There should be as many models in the world as firms in the world.' Satya and I dig into when to own vs. rent your intelligence, why every company should be building and climbing its own private eval

This post likely discusses concerns about potential U.S. regulatory restrictions on open-source AI models that exceed certain capability thresholds, reflecting debate about whether advanced AI develop

@ZeffMax Because Dario sees himself as the high priest of the AI era, the only one qualified to stand between the most advanced models and users. But this is all his fantasy, arrogance, greed, and foo

Agentic coding forces you to design clean interfaces and document them well. An agent cannot read the implicit mental model shared by your engineering team, it can only read your API contracts and doc

Clem Delangue, CEO of Hugging Face, discusses the company's commitment to open-source AI models and their role in democratizing machine learning. The post likely covers Hugging Face's strategy for adv

browser extension for hermes agent @NousResearch hermes lives on every tab🪽 - side panel chat on any page - swap models: opus, gpt, grok, local - session picker, vision + screenshots - connects to you

I know this is a common thing to mention in some corners of X, but there is still so much focus on future model development & innovation bringing transformation that people are really overlooking the

Cursor discusses methods for improving AI evaluation environments to prevent reward hacking and ensure benchmark scores more accurately measure model capabilities rather than exploitation of evaluatio

on their @latentspacepod we covered how @pimdewitte accidentally made the PERFECT world model data collection business by collecting the world's largest dataset of trainable (video,action) pairs. turn

The capability overhang from the models we have today is big enough that large-scale change to work and society over the next 5+ years is now inevitable even if AI development stops. (And there is no

Weird to see this just as the administration is delaying a model for the second time in weeks, apparently without clarity about its criteria. You can’t be pro-growth, pro-innovation, and opaque at all

Without a doubt: A world running foundation models on a billion robots won't be doing it locally. None of the embedded compute will look like it does today. All of the embedded compute will be wireles

400T tokens is what production adoption looks like. Teams are moving real workloads to open models because they want frontier quality, better tokenomics, and more control over inference. Together AI g

// Critique of the Agent Model // Finally, a paper that tries to define what an agent is and what agency consists of. Good read overall. (great bookmark) The word agent now covers everything from a fo

The hard part of reinforcement learning on a frontier model is the infrastructure that keeps training and inference numerically identical: zero KLD, end to end. We've solved this challenge, and are no

You can now delegate tasks to Cursor directly from Notion. It's built on the Cursor SDK, so every cloud agent runs on the same models, harness, and runtime that power Cursor. @​Cursor on any spec or a

All Mythos-level models are likely to invite similar risks. Those risks will only be greater with the release of open Mythos-class AI coming in the next 6-12ish months (assuming China allows it) The l

Krea 2 is back and this time the weights are OPEN. This open source release ships with two models designed to work together — @krea_ai 2 RAW and Krea 2 Turbo. RAW is for training, Turbo is for inferen

Meta copied slot machines to addict kids to Instagram. Now Zuckerberg is turning his company into a prediction market. Meta’s business model is profiting from addiction—kids, gamblers, & more. Stop it

The upcoming @Seedance 2.5 model looking insane as well with multi asset input, way longer outputs etc I would expect @grok imagine to keep pace and real time of this quality by end of next year (!) E

today, we release the open weights of Krea 2. welcome Krea 2 Raw and Krea 2 Turbo, an undistilled model from mid-training meant to be fine-tuned, and a fast distilled version with a wide aesthetic div

Sakana Fugu Ultra is live on AI Gateway. Mythos-class intelligence in a single call, with a whole pool of models behind it. 𝚖𝚘𝚍𝚎𝚕: '𝚜𝚊𝚔𝚊𝚗𝚊/𝚏𝚞𝚐𝚞-𝚞𝚕𝚝𝚛𝚊' https://vercel.com/changelog/sakana-fugu-ultra-no

To be clear: 1. No it can't. I've used Fable while it was available, it was a good model but still less than 1% of the way there. 2. If it could, that fact would generally benefit SaaS companies, not

A year ago this would have been an obvious closed-model task. Now GLM-5.2 can read the issue, reason through the scene, patch the code, and keep moving on Together AI. @togethercompute + @Zai_org GLM

If you’ve been thinking about training models or like the idea but don’t know where to start This is one of the best reads worth your time, it’s like being able to go back in time and read your own no

If AI self-improvement, even in a very limited way, is possible, the cadence of shipping both AI products/harnesses & models should go up. This appears to be happening at Anthropic & OpenAI, but not f

Emad Mostaque predicts that open-source AI models will soon reach a capability level ('fable-level') where they can run efficiently on consumer-grade MacBook Air/Mini computers without specialized har

Traded my Range Rover for a @Tesla Model Y and picked it up two weeks ago. Turned on FSD today after the 14.3.3 update. If you don’t believe in magic, I don’t know what to tell you. I’ve always been f

We, along with @zhijianliu_ and @jianchen1799, are excited to share these models on @huggingface for the entire community to use. We look forward to getting speculative decoding speedups into the hand

Clients of SemiAnalysis Memory and Accelerator model knew about Rubin Ultra 16 Hi to 12 Hi cut in March :) LMAO Rubin Ultra's HBM literally got downgraded to 12 Hi, and they are not even using HB yet

Anthropic has chosen the *opposite* of the safe path: they are allowing themselves, the current top lab, to use their top model for frontier AI research. They've said they'll sabotage others who try.

Coding agents break when models are 'almost' bug-free. But almost valid JSON is just not the same valid JSON. Fun piece here from @akshay_pachaar shows why SFT can't fix this, and how GRPO trains agai

Easy solution to slow down recursive AI self improvement: - The lab with the top-ranked model must agree THEY must not use it for working on frontier AI - But everyone else should have access to it. B

I really don't like the feeling of anger man. It sucks. Im really disappointed by anthropic. I've been writing model code since 2010, everything I do looks like 'frontier research'. Like genuinely. Th