Search: “reasoning”

Leaving aside the question of consciousness, the Ted Chiang piece has a reasonable point about moral atrophy if you let AI make choices. But it is also interesting in light of the fact that repeated r

New course on serving LLMs efficiently -- how do you serve models to many concurrent users at low latency and reasonable cost? This short course is built with @RedHat and taught by @cedricclyburn. Eff

Suno - a company that trained on 'essentially all music files of reasonable quality that are accessible on the open Internet', and argues it does not need to pay to do so - is now valued at $5.4 billi

arXiv:2606.00102v1 Announce Type: new Abstract: Over the centuries, probability theory has grown from the calculus of games of chance into a central framework for reasoning under uncertainty. This art

Since a lot of comments ask about it, they cannot really say anything about code quality using their methods. In part, the reason humans are the bottleneck is because humans are doing some sort of qua

arXiv:2603.07109v2 Announce Type: replace Abstract: Understanding physical transformations is fundamental for reasoning in dynamic environments. While Vision Language Models (VLMs) show promise in emb

One of the big reasons for the current lack of patriotism and pride in our nation’s history is that about 40 years ago our most prominent storytellers in Hollywood just basically stopped telling stori

genius reply, full of reasoned intellectual argument, from the kind of retail investor who is probably going to get burned on the SpaceX IPO. Going to MIT and NYU may have meant something in the past,

Agree! was talking about this with @havoyan just a few days ago. That's also the reason why so much of the value has been accruing to the frontier models in my opinion (cc @GavinSBaker) because if you

i have strong reason to believe this is cope. we may find out soon… Im calling BS on this story. 1. That would be 100,000 employees spending 5k/mo each or 10,000 employees averaging 50k/mo each. No wa

LLMs actually produce bullshit for many reasons, and would continue to do so (though less) even they weren’t trained on bullshit. legal citation hallucinations are a nice example where the underlying

arXiv:2605.28150v1 Announce Type: new Abstract: Large scale reinforcement learning has become a central tool for improving reasoning in large language models. At this scale, generation is often lagged

today is (potentially) a great day for the GPU poors if DiffusionBlocks works on fine-tuning existing models, then literally any reasonable consumer GPU can do LLM fine-tuning will make a video on thi

Behind the MiMo API Price Reduction: The deepest price cut, up to 99%, is for Input (Cache Hit). The core reason is our inference framework now supports hierarchical KV cache optimization for SWA. Pro

Elon Musk stated on X that he will personally review all emails meeting reasonable sanity checks, indicating a hands-on approach to email management or organizational communication oversight. This sta

Parasocial was Cambridge Dictionary’s word of the year in 2025. And with good reason. AI chatbots interact with us “as if” they were human. With @LennartMeincke, @danshapiro, @emollick, Lilach M., Chr

the reason is marketing! Interesting that in three of my recent conversations with Krishna at Anthropic, @dylan522p, and @GavinSBaker, each said that frontier tokens are capturing the majority of the

arXiv:2605.19639v1 Announce Type: new Abstract: Text-to-Image (T2I) models and Unified Multimodal Models (UMMs) have achieved remarkable progress in visual generation. However, their reliance on a sin

Had always heard that the “replacement level” total fertility rate is 2.1 children per woman, but didn’t realize this was the reason: Let me lay out the unpleasant arithmetic of the replacement rate,

Its a reason why there may be increased demand for some jobs disrupted by AI: when your local midsized insurance broker wanted software, there was no way they could even consider building internally.

arXiv:2505.19590v5 Announce Type: replace-cross Abstract: Training large language models (LLMs) for complex reasoning via Reinforcement Learning with Verifiable Rewards (RLVR) is effective but limited

Recursive self-improvement is very reasonably the greatest near-term threat to democracy & peace out there New letter from 35 (!) members of Congress to the White House urging action post-Mythos. Most

One of the reasons the elites ignore the Muslim grooming gangs is they simply can’t handle the levels of horror these attacks reach. Such as… -nailing a girl’s tongue to a block of wood while she’s ra

“we are below rock bottom now”. Trump admin continues to piss away America’s scientific lead for no good reason. @elonmusk stands by, does nothing. NEW: A serious staffing shortage — of the Trump admi

arXiv:2605.12701v1 Announce Type: cross Abstract: Machine learning algorithms in socially sensitive domains (e.g., credit decisions) often focus on equalizing predictive outcomes. However, satisfying

everything we build at LangChain is provider/model agnostic for these reasons! our harness is open source and easily customizable! On topic: there is a mistake I saw large companies make in late 2025/

Making humans responsible for their AI use seems like an incredibly reasonable way to address problems & opportunities in the use of AI for academic research, at least in the short term (autonomous sc

New course: Transformers in Practice. You'll get a practical view of how transformer-based LLMs work, so you can reason about their behavior, diagnose problems like slow inference, and make smarter de

Another reason to switch to Codex. Want to (officially) use Codex at work? Send this post to your CTO to bring your team to Codex. Eligible enterprise customers who switch in the next 30 days get 2 fr

It is one reason why I think the push for smaller, local models is more complicated than people think. If you want good answers, especially good answers to unexpected problems, frontier models will ge

arXiv:2602.19974v2 Announce Type: replace Abstract: Recent advancements in image generation have achieved impressive results in producing high-quality images. However, existing image generation models

This seems like a critical reason to open up about AI use in academia. Scholars are using old AI models, badly, and not talking about it. New models hallucinate very few citations, and good agentic ha

Elon has been the longest and by far the biggest voice actively warning about the dangers of AI for a very long time The entire reason he started OpenAI was this one thing.....to make sure AI is built

arXiv:2605.01148v1 Announce Type: cross Abstract: Does structure in representations imply structure in computation? We study how Llama-3.1-8B reasons over cyclic concepts (e.g., 'what month is six mon

Today, the CEO of @coinbase announced a 14% headcount reduction. Let's talk about why. He cites AI as a core reason for the shift, alongside market dynamics - though we don't know whether each of thos

“Consciousness is not about what a creature says, but how it *feels*. And there is no reason to think that Claude feels anything at all. I am sure Claude can draw on its training data to wax poetic ab

A reason we’re in this mess is that we’ve tacitly accepted the lie that racism is the ultimate sin. Worse than rape. Worse than grooming. Worse than pedophilia. Worse than trafficking. Worse than dome

Building a document processing pipeline at scale is hard, and is one of the reasons that it's hard to DIY your own document OCR solution by relying on LLM APIs. Your orchestration pipeline needs to ha

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

One reason I don’t think “judgment” is going to be a distinctly human role in working with AI is that the most recent agentic models have gotten quite good at some types of judgment. You can’t do the

Science is how we’ve cured diseases and how we just sent four humans around the Moon. It’s a big reason why we’re the greatest country on Earth, but firing the National Science Board shows just how mu

People keep blaming the users for the growing number of vibe-coded reasoners. Doing so is *half* right. Users *are*screwing up - by letting vibe coded stuff access their files, without proper backups,

Chris Metinko / Axios: Collov Labs, whose visual interface lets users feed images and camera input into a model that AI agents can reason over and act on, raised a 23M Series A — Collov Labs, which tu

Trump just fired all 24 members of the National Science Board. Every single one. By email. No warning. No reason given. The board has existed since 1950. The National Science Board is the independent

GPT Image 2.0 just dropped in ComfyUI via Partner Nodes. This isn't another image model. It *reasons* before it generates. → Plans the composition → Checks its own work → Iterates instead of one-shott

The 'bridge of authority' in RAG: ❌ LLMs can reason about 'blue skies' or 'purple skies' with the same authority. ✅ Vector DBs let you peer into the metadata to find the source/author. 'Do you trust a