AI High Signal

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Justin Lo @loresjpg · 01:37
Nice DeepSWE score! Does it survive a lowercase filename? Introducing MaxxBench: 89 DeepSWE tasks with small changes to the instructions or starting code. Same engineering problem, slightly different requirement. Models clustered around 74% on DeepSWE end up 23 pp apart. Good
11 relayeurs à 11 · il y a 3 h Voir sur X
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J Julian Schrittwieser” Hamel Husain” Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)” Ofir Press” Lisan al Gaib Mat Velloso”
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Julian Schrittwieser @Mononofu a cité · 01:37
Making novel variations of evals is very useful, public evals tend to get memorized!
Hamel Husain @HamelHusain a cité · 01:16
I see some are drawing the wrong inference from this study: they are focusing on this meta benchmark as yet another benchmark for model picking, i.e. open vs closed models, model families etc. That’s too narrow of an interpretation! You need to do your own private evals on
Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 08/11 22:00
holy shit, an art form of scientific grift next METR/Epoch/AA employee right here you all need to work on your epistemic hygiene
Ofir Press @OfirPress a cité · 08/11 21:26
GPT-5.6 Sol and Luna were built by roughly the same people using roughly the same infra, I don't think we can blame the 20 point difference in Luna just on memorization. There's something else being tracked here in addition to memorization. Maybe MaxxBench questions are slightly
Mat Velloso @matvelloso a cité · 07/11 21:20
I'm both surprised and also not at all
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Pushmeet Kohli @pushmeet · 08/11 20:37
Across our projects @GoogleDeepMind, we are witnessing a genuine phase transition in the pace of scientific discovery. You will see a glimpse of this in our releases in the next few weeks.
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Lucas Beyer (bl16)” elvis” Chubby♨️” Demis Hassabis
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Lucas Beyer (bl16) @giffmana a cité · 08/11 20:37
Pre-announcing the pre-announcement
elvis @omarsar0 a cité · 08/11 17:08
Been working for this moment for over a decade. What I've witnessed behind the scenes, together with what we have been building, tells me we are about to enter a truly incredible era of AI-powered scientific discovery. It's an incredible time to be doing research. I will be
Chubby♨️ @kimmonismus a cité · 08/11 15:36
2026 is the turning point for humanity. Google DeepMind’s Pushmeet Kohli says AI is accelerating scientific discovery and that upcoming releases will offer a glimpse of the progress. He says the team also aims to help the wider scientific community use these tools responsibly.
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Richard Sutton @RichardSSutton · 08/11 14:26
Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHO
incompleteideas.net https://incompleteideas.net/IncIdeas/BitterLesson.html
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chansung elie” François Fleuret” M M Saiful Bari (MARUF)” Denny Zhou” Satya Mallick”
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elie @eliebakouch a cité · 08/11 09:58
i disagree with the first point, there is nothing that says that scaling up current transformer recipe is not enough for "intelligence". you take kimi K3 or your favorite open arch + some stability fixes, you scale it to 50T parameters, you do classical training end to end, you
François Fleuret @francoisfleuret a cité · 08/11 07:44
We need a model that learns *in spite* of its inductive bias, not thanks to it. We have to stop being cross-entropy fetishists.
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M Saiful Bari (MARUF) @sbmaruf a cité · 08/11 07:02
True! This is the era of the RL objective. The biggest economy on this earth (US stock market) runs on subscriptions. Subscriptions require vendor lock-in. Currently, the frontier is pushing “Variance” learning from customer data, like how Google won the search market. But I
Denny Zhou @denny_zhou a cité · 08/11 06:26
The Bitter Lesson 2.0
Satya Mallick @LearnOpenCV a cité · 08/11 05:00
That’s what I call a bitter sense of humor.
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alphaXiv @askalphaxiv · 08/11 21:24
We mapped funding raised vs founder citations across 32 neo-labs Their founding teams have amassed 8.35M citations and have raised nearly $26B Discovery Loop leads with 1.59M founder citations, followed by SSI (915K) and AMI Labs (752K) The two are correlated, but a huge
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rohan anil” Sara Hooker Julian Togelius”
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rohan anil @_arohan_ a cité · 08/11 21:24
X axis can be number of uncs. Never beating allegations.
Julian Togelius @togelius a cité · 08/11 04:22
How can I not retweet this …hey, investors, look here
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roon @tszzl · 08/11 04:13
total export ban of chips, cloud inference and training services, and semiconductor manufacturing equipment to china and any other countries nearing RSI, as a starting point. allied nations must comply or lose access too. there is a policy window now, for the obvious reasons
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Ethan Perez Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞)” liz
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Teortaxes▶️ (DeepSeek 推特🐋铁粉 2023 – ∞) @teortaxesTex a cité · 08/11 03:32
this is a good idea from the safety perspective, because within 1 year the retaliation would make Americans Pace The Frontier too, pretty much no matter how far into RSI they get. they just don't know yet