Search: “jeremy-howard--x”

Today we're launching Base Labs, a research lab by Baseten. Our mandate is to make open-source as useful as possible, and our one rule is that we publish without exception, including what fails. Up un

Claude Fable 5.1 tops the Artificial Analysis Intelligence Index but costs 20% more per task than Fable 5 despite a 75% cache read price cut We supported @AnthropicAI with pre-release evaluation of Cl

I'm in San Francisco this week. So is the Deputy Prime Minister, but we’re here for very different reasons. He's meeting with Anthropic and OpenAI, working on Australia’s data centre pipeline. I'm her

RWKV-7 G1j (100% RNN) release 🙂 much better at agent/coding/STEM and everything. Demo: https://rwkv.com Weights: https://huggingface.co/BlinkDL/rwkv7-g1 RWKV-7 G1i (100% RNN) release 🙂 Demo: https://r

At 1400x cheaper, I know I'm sticking to embeddings (dense, sparse, multi-vector), plus hybrid (incl. bm25) and rerankers. Perhaps I'd even use listwise cross-encoders, they seem interesting. can LLMs

LLMs increase the complexity of codebases. They duplicate methods, write overdefensive code against impossible edge cases, & overoptimize too early. Can further training fix this? Naur's “Programming

Regarding Sentence Transformers v6.0 update: A dense model compresses a whole text into one vector, then compares two vectors. A multi-vector model keeps one vector per token, scores every query token

I am a big fan of both Andy Hall and Alan Rozenshtein work and public commentary on AI. I am sure that they will continue to do important work as part of this new team at Anthropic, and sincerely cong

The amazingly fast (only 30M!) and extremely accurate @answerdotai ColBERT model is now supported in Sentence Transformers to make it easy to create and query embedding indexes locally directly in Pyt

It continues to boggle the mind how many people, who otherwise seem to have a functioning intellect, appear to lose all cognitive capacity when it comes to thinking about actions that impact the compa

Hey sir. We are not asking you to open source Anthropic. Just don’t lobby the government to shut down others who do. Jensen never framed other chips as “dangerous” or decides who can use CUDA based on

I don't think Anthropic realizes how disruptive these changes are to users. I appreciate the extension, but please stop playing games. Either keep it under the subscriptions or put it under the API al

Obvious in retrospect, but I didn't really anticipate: Fable: Performing Final Review of <Awesome Feature> Also Fable: I appear to have introduced a critical security vulnerability. <This model's safe

Introducing SWE-Together: a multi-turn benchmark built from real user–agent coding sessions. Coding agents are often benchmarked like exam-takers: given the full spec up front, then graded on the fina

Muon optimizer shows faster training speeds compared to traditional optimizers, but analysis reveals it sacrifices the simplicity bias that older optimizers maintain, potentially impacting model gener

https://longcat.chat/blog/longcat-2.0/ People are missing out on how big a deal Longcat 2.0 by Meituan (aka 'Chinese Doordash') is. Near frontier performance, trained on 50k Chinese domestic accelerat

Did something happen to Opus 4.8 today? First time I've seen this happen (and I use it daily): it almost totally stopped thinking, even at highest reasoning setting. And answered terribly. I repeated

GLM-5.2 is the open-source Claude moment. The demand we’re seeing at Databricks is astonishing. The world is going to see massive adoption of oss LLMs. Also, more companies will shift toward post-trai

The take that frontier models aren't ready for use in medicine is dead wrong. I've been using Opus 4.x in my clinical workflow every day for 6 months. I'm a deep sub-sub-specialist in dermatology - th

Transformers are better at copying, while RNNs are better at modeling 'meaning-bearing words—the nouns, verbs, & adjectives that say what a sentence is about' Hybrid (transformer–RNN) models are fast

I think part of what makes this account’s work so satisfying is they are doing a form of pattern recognition that is computerlike in many ways but actually requires a soul to pull off. Proof humans ar

Jeremy Howard discusses the existence of a black market for AI tokens, expressing surprise at learning about this market dynamic. The post likely covers unauthorized trading, resale, or acquisition of

GLM-5.2 achieved token generation speeds of 318 tokens per second, surpassing the previously reported 280 tokens per second benchmark, with indications that further performance improvements are possib

I (and a bunch of my colleagues) donated to this. I think it is a really excellent initiative. TLDR: - Equity investments in broad spectrum preventatives that are ready to get to phase 2 within 4 year

Nice to see the Drivetrain Approach getting some love again! :D https://x.com/ForBo7_/status/2069337722821673174 Did a close read of @jeremyphoward et al's Drivetrain Approach Define goal → Consider l

The Drivetrain Approach is a framework for building effective data products, developed by Jeremy Howard and published by O'Reilly Media, that focuses on defining business objectives, identifying lever

This post likely refers to a humorous or competitive exchange involving multiple people named Jeremy Howard, possibly a lighthearted social media interaction or debate. Without access to the specific

By the way, public service announcement: if you're one of the numerous people posting about Anthropic's dystopian ways and you're thinking about getting Claude to help you write that post... don't! An

Can confirm we saw a strong spike in growth of token consumption for Codex over last 48 hours. Unusual when we don't launch something. Usage share of OpenAI grew vs Anthropic yesterday despite Mythos

I still feel this way, 8 years later. People sometimes ask if I think it's risky for everyone to have access to AI. I think it's MORE risky for an exclusive & homogeneous group alone to develop tech t

'Mastery is not about creating more outputs or products. It is about building genuine ability. AI can either decay or support human mastery. The people selling you AI models & your bosses at work don’

Very pleased to hear Anthropic have walked back this policy https://simonwillison.net/2026/Jun/11/anthropic-walks-back-policy/ BREAKING NEWS: Anthropic's latest model will NOT help you if it thinks yo

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.

are you kidding me Today I'm publishing a new essay, Policy on the AI Exponential. AI is progressing extremely fast—much faster than the policy process was built to handle. The essay lays out where I

Jeremy Howard argues that the concentration of AI power, capabilities, and economic wealth among few entities represents the most significant risk in AI development, and advocates for open science and

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

Even although the company isn't named in this tweet... ...you know exactly who he's talking about, don't you? @soldni Yeah, I mean I think they believe they are somehow morally superior and virtuous a

Jeremy Howard recommends both a TV show and its source book, suggesting the book adaptation is superior to the television version. The IMDB link references title tt13016388, though the specific show i

I believe what Anthropic is doing, gating the ability to do certain harmless things like LLM research, and with incredibly sensitive filters that even medical questions are often blocked, is *deeply*

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

if only vetted institutions (big labs, governments, large enterprises) get unrestricted frontier capability, especially for AI research itself, those players compound their lead while everyone else wo

This post reflects on the evolution of AI alignment terminology, recalling when the field's primary goal was characterized by the simple framework of making AI systems 'helpful, honest, and harmless.'

In film, 'we'll fix it in post' is what you say when something went wrong on set and you don't want to redo it. AI research has made it our entire methodology: train the model, then patch whatever com

This post likely praises OpenAI's organizational culture for encouraging public discourse and debate among employees about company decisions and positions. The statement suggests that OpenAI demonstra

There is a lot of justified anger at Anthropic for sandbagging Fable 5 for AI development tasks. But an unanticipated side effect is that third-party evaluators can no longer credibly use the model fo

(To be clear, *I* don't think we should try to slow down recursive AI self improvement - I think we should open it up and democratize it as much as possible. My point is: if *you* claim we should slow