Timo Verbeek

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Timo Verbeek

Timo Verbeek

@TimoV765

Applied GenAI @Zonneplan | perfecting the art of context engineering | all about LLMOps & evals

شامل ہوئے Temmuz 2023
1.5K فالونگ23 فالوورز
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Ian
Ian@dumbfook·
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Bill Ackman
Bill Ackman@BillAckman·
One of the things that makes @SpaceX so valuable is how valuable it is. The Cursor acquisition costs materially less in dilution because of SpaceX’s high valuation. SpaceX’s ability to do economically, strategically, and technologically accretive acquisitions is an important component of its value. There is enormous value inherent to a company with a high value particularly when it is controlled by an entrepreneur that the most talented people want to work for and partner with. Value begets value. Talent begets talent.
The Wall Street Journal@WSJ

Breaking: SpaceX said it would buy Cursor for $60 billion, striking a massive deal for an autonomous coding agent shortly after its blockbuster IPO on.wsj.com/4xDAULx

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Dwarkesh Patel
Dwarkesh Patel@dwarkesh_sp·
My family moved to the US when I was 8, but by the time I turned 20, my dad was still on an H1B (waiting to get processed for a green card). Once I turned 21, I would age out as his dependent, despite the fact that I basically grew up in the US. I thought I'd have to become a code monkey after college, and even that only if I was lucky enough to win the H1B lottery. Otherwise, back to India. I had become a huge fan of @paulg's essays in college. I was actually depressed that my desire to start a startup or do something entrepreneurial was basically hopeless. Working on the promising podcast I was doing as a side project? A beyond impossible pipe dream. Even after 9 years, my dad wasn't able to get a green card - and the lines were only getting longer over time. I figured I'd be an old man before I could quit some FANG job and build my own thing. By some miracle, COVID travel restrictions cleared out the lines, and I got my green card literally months before I would have aged out. If not for this unbelievable coincidence, I would not be hosting the podcast. In the best case, I would be shifting pixels around in the 3rd sub-sub-menu of some big tech software. I'm incredibly grateful I made it through. But it's unconscionable that we put the kids of high skilled immigrants through all this anxiety, and in many cases make them repeat the nerve-racking indentured life trajectory that they had to watch their parents go through.
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Timo Verbeek
Timo Verbeek@TimoV765·
This is the way.
OrcaRouter 🐳@OrcaRouter

Fable 5 is dead. We just resurrected it — cheaper, open and you hold the keys. OpenRouter dropped Fusion 48h ago and broke the internet. We tested it hard. The synthesizer is insane for deep research… but absolute dogshit for coding. So we fixed it. Meet OrcaRouter.ai DSL — the version you actually own. One prompt → fans out to any panel you want → judge + synthesizer → one god-tier answer. But unlike black-box slugs, you control the entire graph in YAML. Fable 5 level intelligence… without waiting for Anthropic to turn it back on 🧵👇

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Gabriele Berton
Gabriele Berton@gabriberton·
The perfect LLM has over 10.5 quadrillion params This number is based on actual research, but how? Almost a year ago a paper called "Pre-training under infinite compute" came out of Stanford's most famous LLM researchers [1/6]
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JB
JB@JasonBotterill·
Fable 5 scores 81.9% on SimpleBench the highest score almost reaching human baseline.
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Josh Kale
Josh Kale@JoshKale·
Anthropic said Mythos was too dangerous to release. Then four random guys in a Discord gained access on day one by guessing the URL... This is pretty insane: → Group in a private Discord guessed the endpoint from Anthropic's naming conventions → They figured out the conventions from the leak in the Mercor breach three weeks ago → Used a contractor's legit eval credentials to walk in → Have been using it ever since to build simple websites The AI that finds zero-days in every operating system on earth was defeated by address bar autocomplete... big yikes
Bloomberg@business

Anthropic's Mythos has been accessed by a small group of unauthorized users, raising questions about control of the AI model bloomberg.com/news/articles/…

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François Fleuret
François Fleuret@francoisfleuret·
Reminder that I wrote a little book about deep-learning, which is phone-formatted, entirely free, and nearing the 1M download: fleuret.org/francois/lbdl.…
François Fleuret tweet media
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Super Dario
Super Dario@inductionheads·
The super important thing I haven’t seen mentioned yet as upshot of this: It’s not just that people won’t HAVE to write code anymore, ITS THAT LITERALLY IT WILL BE UNSAFE TO DO SO
Anthropic@AnthropicAI

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software. It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans. anthropic.com/glasswing

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krish
krish@IamIronLAN·
Super excited to watch this!! @michael_nielsen is one of my favorite people on the internet. He’s a physicist who has been my go to to read about deep learning, blockchain, spaces recognition, how to read papers/math, what deep creative work looks like, what science and open science look like and ofc the very little I know about quantum computing. He’s collaborated and introduced me to so many thoughtful people I also love including: - Chris Olah (@ch402) - Andy Matushak (@andy_matuschak ) - Kanjun (@kanjun) - Devon (@devonzuegel) - P Collison (@patrickc) He’s been my def for what an independent researcher looks like.
Dwarkesh Patel@dwarkesh_sp

Really enjoyed chatting with @michael_nielsen about how we recognize scientific progress. It's especially relevant for closing the RL verification loop for scientific discovery. But it's also a surprisingly mysterious and elusive question when you look at the history of human science. We approach this question stories like Einstein (who claimed that he hadn't even heard of the famous Michelson-Morley experiment, which is supposed to have motivated special relativity, until after he had come up with the theory), Darwin (why did it take till 1859 to lay out an idea whose essence every farmer since antiquity must have observed?), Prout (how do you recognize that isotopes exist if you cannot chemically separate them?), and many others. The verification loop on scientific ideas is often extremely long and weirdly hostile. Ancient Athenians dismissed Aristarchus's heliocentrism in the 3rd century BC because it would imply that the stars should shift in the sky as the Earth orbits the sun. The first successful measurement of stellar parallax was in 1838. That's a 2,000-year verification loop. But clearly human science is able to make progress faster than raw experimental falsification/verification would imply, and in cases where experiments are very ambiguous. How? Michael has some very deep and provocative hypotheses about the nature of progress. One I found especially thought-provoking is that aliens will likely have a VERY different science + tech stack than us. Which contradicts the common sense picture of a linear tech tree that I was assuming. And has some interesting implications about how future civilizations might trade and cooperate with each other. So many other interesting ideas. Hope you enjoy this as much as I did. 0:00:00 – How scientific progress outpaces its verification loops 0:17:51 – Newton was the last of the magicians 0:23:26 – Why wasn’t natural selection obvious much earlier? 0:29:52 – Could gradient descent have discovered general relativity? 0:50:54 – Why aliens will have a different tech stack than us 1:15:26 – Are there infinitely many deep scientific principles left to discover? 1:26:25 – What drew Michael to quantum computing so early? 1:35:29 – Does science need a new way to assign credit? 1:43:57 – Prolificness versus depth 1:49:17 – What it takes to actually internalize what you learn Look up Dwarkesh Podcast on YouTube, Apple Podcasts, or Spotify.

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Dario Amodei
Dario Amodei@DarioAmodei·
Cyber is the first clear and present danger from frontier AI models, but it won’t be the last. If we are able to collectively rise to the challenge and confront this risk, it could serve as a blueprint for addressing the even more difficult challenges that lie ahead of us.
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Chris Barber
Chris Barber@chrisbarber·
thread of more agent ui explorations: (warning long thread. would be helpful to know which are more interesting) 1) waveform showing your tok/s usage over time
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Seungwook Han
Seungwook Han@seungwookh·
But, why would data from abstract dynamical systems transfer better than language itself? Our hypothesis: NCA sequences force pure in-context rule inference. Each sequence has a unique latent rule (i.e. random neural network) acting as the latent dynamics function that the model must identify from context. No semantic shortcuts, no co-occurrence priors to lean on. (4/n)
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Seungwook Han
Seungwook Han@seungwookh·
Can language models learn useful priors without ever seeing language? We pre-pre-train transformers on neural cellular automata — fully synthetic, zero language. This improves language modeling by up to 6%, speeds up convergence by 40%, and strengthens downstream reasoning. Surprisingly, it even beats pre-pre-training on natural text! Blog: hanseungwook.github.io/blog/nca-pre-p… (1/n)
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Alex Albert
Alex Albert@alexalbert__·
Huge quality of life upgrade for devs: We've added automatic prompt caching to the API which means you no longer have to set cache points in your requests!
Lance Martin@RLanceMartin

x.com/i/article/2024…

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Rohit
Rohit@rohit4verse·
graph is the final boss of memory. a skill graph is a network of skill files connected with wikilinks. one of the most interesting article i’ve read recently
Heinrich@arscontexta

x.com/i/article/2023…

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