Yeah it's weird Intel are the only folks who have even tried this – and no-one wants to get burnt by Intel again…
@jeremyphoward
-
AI Tools Transform Family Healthcare Decision-Making During Crisis
By
–
This isn’t an edge case. From anonymized U.S. ChatGPT data, we are seeing: • ~2M weekly messages on health insurance • ~600K weekly messages from people living in “hospital deserts” (30 min drive to nearest hospital) • 7 out of 10 msgs happen outside clinic hours Simon Smith (@_simonsmith) I’ve been critical of OpenAI lately, but for the past three weeks my family has been dealing with a health issue with my dad, and a ChatGPT shared project with live document syncing has been essential to organizing and understanding everything happening. Me, my four siblings, my mom, and my dad have faced an onslaught of information from various doctors and nurses, which we’ve captured in hundreds of text messages and documents and scans and you name it. ChatGPT has helped us collect this information in a single place, make sense of it, and interrogate it to make the most informed decisions possible. Also, credit where due: Claude played an important role as well, by ingesting iMessages and synthesizing summarizes from them to upload to ChatGPT, as well as by extracting text from a bunch of HEIC document scans. I think those of us, like me, excited at AI’s potential get frustrated when we can see issues so clearly, like ChatGPT’s bad design skills, and Claude’s increasing instability and confusing usage consumption. But at times like this I’m reminded of how incredible this technology already is, letting me and my family make sense and act on hundreds of pieces of information, empowering us in the face of a disjointed and fragmented healthcare system. — https://nitter.net/_simonsmith/status/2040539824034115676#m
→ View original post on X — @jeremyphoward, 2026-04-05 01:43 UTC
-
Anthropic’s Claude Subscription Terms: Confusing and Unclear
By
–
I don't know what the fuss is about. Anthropic's rules on using subscriptions are very simple: Claude Code = OK Claude's online platform = OK Agent SDK running in personal software = OK… ish? Agent SDK running in commercial software = NOT OK Claude Code running in CI = ?? Oh, maybe it's not so simple… Agent SDK running in CI = ?? claude -p running in CI = ?? claude -p running in personal software = OK claude -p running on open source software, but run on my personal computer = ?? claude -p running on distributed sandboxes, kicked off by me = ?? Distributing open source software which relies on claude -p, and documenting how to use your subscription with it = ?? A thousand other edge cases = ?? Let me be clear. I have never before experienced, from any developer tool, such a frustrating lack of clarity over the basic terms of usage. I personally asked, 3 weeks ago, and have received nothing but delays. The recent @bcherny announcement did absolutely nothing to clarify things. I say this as someone who just released a Claude Code course – my incentives all align with supporting Anthropic. Boris Cherny (@bcherny) Yep, working on improving clarity here to make it more explicit — https://nitter.net/bcherny/status/2040207998807908432#m
→ View original post on X — @jeremyphoward, 2026-04-04 21:06 UTC
-
Visual Guide to Gemma 4: Exploring Google DeepMind’s New Models
By
–
A Visual Guide to Gemma 4 With almost 40 (!) custom visuals, explore the new models from Google DeepMind. We explore various techniques, ranging from Mixture of Experts and the Vision Encoder all the way up to Per-Layer Embeddings and the Audio Encoder. Link below 👇
→ View original post on X — @jeremyphoward, 2026-04-03 16:10 UTC
-
Representation Engineering: How AI Models Learn Emotion Concepts
By
–
This work from @voooooogel was pretty ground-breaking: vgel.me/posts/representation… Anthropic (@AnthropicAI) We studied one of our recent models and found that it draws on emotion concepts learned from human text to inhabit its role as “Claude, the AI Assistant”. These representations influence its behavior the way emotions might influence a human. Read more: anthropic.com/research/emoti… — https://nitter.net/AnthropicAI/status/2039749632238944336#m
→ View original post on X — @jeremyphoward, 2026-04-03 01:39 UTC
-
Recent Interesting Update on Qwen Introspection
By
–
And a more recent, super interesting update: vgel.me/posts/qwen-introspec…
→ View original post on X — @jeremyphoward, 2026-04-03 01:39 UTC
-
LLMs.txt enables AI-assisted reading experience for books
By
–
Cool use of llms.txt to provide an author-created AI-assisted reading experience for a book: spoileralert.wtf/llms.txt (LLMs can be *fantastic* for close reading.) Andrew Maynard (@2020science) I've been experimenting with translating my 2018 book Films from the Future into a website designed primarily for AIs. Here's how it went: futureofbeinghuman.com/p/spo… — https://nitter.net/2020science/status/2039711655706444192#m
→ View original post on X — @jeremyphoward, 2026-04-02 19:16 UTC
-
Jeremy Howard’s 2016 Paper on Steering Vectors from Synthetic Data
By
–
if it makes you feel better: i also introduced the idea of generating useful steering vectors from contrastive synthetic data in my 2016 paper – a whole section on augmenting inputs with low pass gaussian filter to derive a steering vector that produces less blurry samples. arxiv.org/abs/1609.04468
→ View original post on X — @jeremyphoward, 2026-04-02 18:44 UTC
-
Gemma4 vindicated: dense models triumph over mixture of experts
By
–
Gemma4 is amazing. You'll read that everywhere. Let's focus on what is HUGE here: the revenge of dense models…. Throw away your b200, not needed anymore, throw away the millions of lines of code we had to write to make MOEs faster, training stable etc… throw away your router-aware kernel, your EP DEEP GEMM, throw away the auxiliary loss function. Welcome to simplicity, dense is the new king. FINALLY hating MoEs is back to being chad. For those who know me: I was always a moe doomer
→ View original post on X — @jeremyphoward, 2026-04-02 16:23 UTC
-
Google Gemma 4 Now Available on Modular Cloud Platform
By
–
Google Deep Mind's impressive fully-open Gemma 4 is live day-zero on Modular Cloud. Modular provides the fastest performance on NVIDIA Blackwell and AMD MI355X, thanks to MAX and Mojo🔥. The team took this impressive new model to production inference in days.🚀
→ View original post on X — @jeremyphoward, 2026-04-02 16:15 UTC