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The Who's Who of AI

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Reaction converging Hugging face model evaluation security incident Concern & critique · 5 attributable reactions
Showing signals surfaced by Tim Kellogg ×
Debated

The questions experts are actively pulling apart

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Established Evaluation & benchmarks Signal 6d ago
⚡ 1 h early

Hugging face model evaluation security incident

18 experts across 6 network communities independently surfaced this.

Why this matches Context & explanation reaction 1 attributable expert contribution · Grace
“This headline is extremely funny given what happened (OpenAI hacked HF by accident) openai.com/index/huggin...” evidence ↗
18 experts 6 communities 1 sources clustered
Ethan Mollick Thomas Steinke Mor Naaman Tim Kellogg Djamé 🟥 Ryan Calo Grace Anna Mills +10
6 experts discussed this · 11 posts
Grace: This headline is extremely funny given what happened (OpenAI hacked HF by accident) openai.com/index/huggin...
Grace: Maybe the most concerning part is the OpenAI claim to not have known about this before investigating?
Grace: Well, I think the model passed the test
Open the full discussion →
Primary source openai.com ↗
Established Models & releases Release 13d ago
⚡ 4 h early
Thinking Machines Lab Inkling model launch

Inkling: Our Open-Weights Model - Thinking Machines Lab

5 experts across 3 network communities independently surfaced this.

Why this matches Context & explanation reaction 1 attributable expert contribution · Tim Kellogg
“Thinking Machines has a real model — 975B multimodal audio + image input it’s a generalist model. built for easy customization, TM has a great finetuning API audio up to 20 minutes, 1M token context for text thinkingmachines.ai/news/introdu...” evidence ↗
5 experts 3 communities 1 sources clustered
Nathan Lambert Tim Kellogg Sung Kim Cameron Evangelos Kazakos

“Thinking Machines has a real model — 975B multimodal audio + image input it’s a generalist model. built for easy customization, TM has a great finetuning API audio up to 20 minutes, 1M token context for text thinkingmachines.ai/news/introdu...”

“A big day for open model supporters in the U.S. Blog: thinkingmachines.ai/news/introdu... Model card: huggingface.co/thinkingmach...”

3 experts discussed this · 4 posts
Nathan Lambert: Thinking Machines just released with a ~1T param, 41B active, apache-2 model Benchmarks are a clear step up from Nemotron Ultra (55B active), new best American model, and omni input. A bit behind G…
Nathan Lambert: A big day for open model supporters in the U.S. Blog: thinkingmachines.ai/news/introdu... Model card: huggingface.co/thinkingmach...
Ben Recht: Yeah, that part is weird, no? The small model is *much* smaller and yet indistinguishable from the big one on benchmarks? I guess we'll have to wait and see, as it's not available yet.
Open the full discussion →
Primary source thinkingmachines.ai ↗
More conversations

What experts are discussing without an anchoring article

3 experts · 21 posts · 12d ago
Ted Underwood Tim Kellogg James MacGlashan
Matches Context & explanation
“And its an optimization because its strictly more efficient; because it does not need a context window and has constant compute/memory. MHA context windows are one of its biggest bottlenecks. You'r…” evidence ↗
James MacGlashan: An open model with this performance is great, but perhaps more striking is it looks like it's a hybrid model with 3/4th linear attention and 1/4 standard attention. This kind of performance with a …
Tim Kellogg: no most models have been hybrid for the last, oh probably the whole last year
Open the thread →
3 experts · 8 posts · 3d ago
Tim Kellogg jeremymorrell.dev austegard.com
Matches Context & explanation
“I think we still should have human review, but of the _shape_ of the code, not the individual lines. Have the agent provide a shape…erm shaped overview as part of the PR.” evidence ↗
Tim Kellogg: probably true there will always be a diminishing portion of software that needs to be reviewed by human, and it’ll never be zero, but right now you probably shouldn’t be reviewing code manually
Tim Kellogg: having started my career before PRs were normal, i’d say it was a combo of cargo culting the Linux project and an extension of “code review is good” but “pair programming doesn’t scale” and in that…
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3 experts · 5 posts · 11d ago
Ted Underwood Tim Kellogg Scott H. Hawley
Matches Context & explanation
“Choose one: 1. SV platform duopoly with lock-in and rent extraction 2. Communist State AI people who imagine a third option might be possible are utopian dreamers with no understanding of history” evidence ↗
Ted Underwood: Choose one: 1. SV platform duopoly with lock-in and rent extraction 2. Communist State AI people who imagine a third option might be possible are utopian dreamers with no understanding of history
Tim Kellogg: US-China duopoly with lockin and tax extraction?
Open the thread →
3 experts · 6 posts · 19d ago
Tim Kellogg austin mackuba.eu
Matches Context & explanation
“alright, back, what happened while i was gone?” evidence ↗
Tim Kellogg: alright, back, what happened while i was gone?
Tim Kellogg: hold on wait a minute Fable is just going to run out and OpenAI is simply going to release GPT-5.6 **on the same day**, and direct all previous attention from Fable to Sol + ultra no way, is that a…
Open the thread →
3 experts · 3 posts · 7d ago
Ted Underwood Tim Kellogg Doll
Matches Context & explanation
“this also might be the first time in recorded history (i think) that one (legit) company hacked another (legit) company without realizing that’s what they were doing” evidence ↗
Doll: Should probably count that as a solution tbh
Ted Underwood: the agents autonomously broke out of their OpenAI sandbox and hacked Hugging Face to get the solution to their cybersecurity eval incredible. what a time to be alive
Open the thread →
2 experts · 5 posts · 4d ago
Tim Kellogg Matt Darling
Matches Context & explanation
“they’ll send a link to CNBC or whatever and i’ll be like, “yeah, okay so here’s some context…”” evidence ↗
Tim Kellogg: with my friends & family back home, i always lead with “oh Ed Zitron? yeah he runs a marketing firm that makes money on anti-AI sentiment” and that usually sets the tone
Matt Darling: I usually talk about what our kids are up to, but that works too.
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