Luca Bertinetto 🌐

1.4K posts

Luca Bertinetto 🌐

Luca Bertinetto 🌐

@lbertinetto

ML x Biology for drug discovery @Recursion - PhD @UniOfOxford. Views are not my own, it's all nature+nurture.

Oxford, England Katılım Ekim 2009
856 Takip Edilen838 Takipçiler
@levelsio
@levelsio@levelsio·
No it's not just you I think we're 100% in some kind of hyperinflationary state But the hyperinflation is hidden from prices and instead shows up in the extreme decrease in quality of almost every product and service We're in an asset boom where stock prices look like they're growing but they just show the underlying value or currencies is rapidly dropping That's why the same product or service you bought 2 years ago is now twice the price but more than half the quality, so essentially became 4x more expensive You can't measure this inflation easily because quality is subjectively perceived and not included in inflation data (how would you?) but it's happening for sure I have countless examples
Carnivore Aurelius ©🥩 ☀️🦙@AlpacaAurelius

Is it just me or has everything seemingly gone to shit in the last 5 years seems like people are increasingly nuts, plugged into their phones, depressed, angry, scared, food quality is worse, energy in cities in increasingly schizo, everything way overpriced wtf is going on

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Luca Bertinetto 🌐
Luca Bertinetto 🌐@lbertinetto·
@dwarkesh_sp Interesting argument @dwarkesh_sp. But in this hyper-inequal world where capital elites hoard nearly all gains, who sustains the demand? Ultra-wealthy can't realistically consume exponentially more to match the inequality they benefit from.
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Dwarkesh Patel
Dwarkesh Patel@dwarkesh_sp·
I’ve seen a lot of people misunderstand what we’re saying. Our claim is that in a world of full automation, inequality will skyrocket (in favor of capital holders). People aren't thinking about the galaxies. The relative wealth differences in a thousand years—or a million—will be downstream of who owns the first dyson swarms and space ships. And space colonization isn't bottlenecked by people’s preference for human nannies and waiters. So even if you can make 10 million dollars a year as a nanny in the post-abundance future, or get a 10 million dollar charity handout, Larry Page’s million cyborg heirs can own a galaxy each. You might think this is fine! Why is inequality intrinsically bad, especially if absolute prosperity for everyone goes up? Fair enough, but to me quadrillion fold differences in wealth between humans seem hard to justify in a world where AIs are doing all the work anyways - these disparities in wealth are not incentivizing hard work or entrepreneurship or creativity, which is what we use to justify inequality today. Just to recap, full automation kills the corrective mechanism on runaway capital accumulation - which is that you need labor to actually make productive use of your capital, thus driving up wages. Some people asked: why assume AGI leads to full automation? Maybe people will still prefer human nannies and waiters. Even if true, we think labor's share of GDP—which has been roughly 2/3 for centuries—would still likely collapse toward zero, massively increasing inequality. Here's why. It sometimes happens that when machines are only slightly better than humans, people sometimes pay a premium for the human version. But once machines become much better, that preference disappears. When carriages were not much faster than being carried on a litter, the rich sometimes preferred the litter. Now they prefer the car. They might still have a chauffeur—but once self-driving vehicles are allowed to move far faster, human-driven cars may be relegated to a slow lane. If the economy grows 100x, wages must also grow 100x for labor's share to stay at 2/3. But prices are relative—so this means human labor becomes 100x more expensive compared to AI-produced goods. A human-cooked meal costs 100x what the robot version does. For labor share to hold steady as that ratio grows to 1,000x, then 10,000x, the preference for human-made goods would have to become increasingly fanatical. And there's a second problem: the higher wages rise, the greater the incentive to develop machine substitutes for whatever services humans still provide. The premium on human labor is precisely what incentivizes its own replacement. Just to clarify a few other things: - “Piketty’s long run series are disputed.” We spend a long chunk of the essay explaining why Piketty is wrong about the past! But we’re arguing that the assumption he makes (specifically that labor and capital are substitutes) would be true of a world with advanced enough automation. We spend so much time rebutting his claims about the past because the wronger you think he was about the past, the more you think will change once his assumption comes true. - “A capital tax would lower growth.” Yes, as we point out, capital taxes incentivize consumption now instead of saving and investing for the future, at the margin. But if capital is the only factor of production, then it’s hard to come up with an inequality-capping tax that doesn’t lower growth. - “Capital can escape, both across time and space. This makes a wealth tax impractical.” We agree! As we say in the essay and in the tweet summary below, it would be really hard to implement Pikkety’s flagship solution (a high and progressive global wealth tax). You could go Georgist and try to tax land, but the natural resource share of income is only 5% and is likely to stay low until we hit “technological maturity” for reasons we explain in the essay. We don’t see any easy ways to avoid (literally) skyrocketing inequality - in fact, that’s what inspired us to write the essay and explain this problem in the first place. Also, to address a subtext: I think the currently proposed California wealth tax is a very bad idea for many reasons. This essay is about inequality under full automation, not about how California can make its healthcare expenditures more sustainable.
Dwarkesh Patel@dwarkesh_sp

New blog post w @pawtrammell: Capital in the 22nd Century Where we argue that while Piketty was wrong about the past, he’s probably right about the future. Piketty argued that without strong redistribution of wealth, inequality will indefinitely increase. Historically, however, income inequality from capital accumulation has actually been self-correcting. Labor and capital are complements, so if you build up lots of capital, you’ll lower its returns and raise wages (since labor now becomes the bottleneck). But once AI/robotics fully substitute for labor, this correction mechanism breaks. For centuries, the share of GDP that goes to paying wages has been 2/3, and the share of GDP that’s been income from owning stuff has been 1/3. With full automation, capital’s share of GDP goes to 100% (since datacenters and solar panels and the robot factories that build all the above plus more robot factories are all “capital”). And inequality among capital holders will also skyrocket - in favor of larger and more sophisticated investors. A lot of AI wealth is being generated in private markets. You can’t get direct exposure to xAI from your 401k, but the Sultan of Oman can. A cheap house (the main form of wealth for many Americans) is a form of capital almost uniquely ill-suited to taking advantage of a leap in automation: it plays no part in the production, operation, or transportation of computers, robots, data, or energy. Also, international catch-up growth may end. Poor countries historically grew faster by combining their cheap labor with imported capital/know-how. Without labor as a bottleneck, their main value-add disappears. Inequality seems especially hard to justify in this world. So if we don’t want inequality to just keep increasing forever - with the descendants of the most patient and sophisticated of today’s AI investors controlling all the galaxies - what can we do? The obvious place to start is with Piketty’s headline recommendation: highly and progressively tax wealth. This might discourage saving, but it would no longer penalize those who have earned a lot by their hard work and creativity. The wealth - even the investment decisions - will be made by the robots, and they will work just as hard and smart however much we tax their owners. But taxing capital is pointless if people can just shift their future investment to lower tax countries. And since capital stocks could grow really fast (robots building robots and all that), pretty soon tax havens go from marginal outposts to the majority of global GDP. But how do you get global coordination on taxing capital, when the benefits to defecting are so high and so accessible? Full automation will probably lead to ever-increasing inequality. We don’t see an obvious solution to this problem. And we think it’s weird how little thought has gone into what to do about it. Many more thoughts from re-reading Piketty with our AGI hats on at the post in the link below.

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Luca Bertinetto 🌐 retweetledi
Josh Wolfe
Josh Wolfe@wolfejosh·
1/ 🚨Today history in AI 💻+ biology 🧬was made! CZI led by Mark Zuckerberg + Priscilla Chan who've admirably committed tens of billions (and the entirety of their wealth to CZI) has acquired Lux family co Evolutionary Scale––just 2yrs after it's founding at a great multiple...
Josh Wolfe tweet media
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will brown
will brown@willccbb·
remember when everyone was obsessed with Komolgorov-Arnold Networks for like 4 months
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Andreas Kirsch 🇺🇦
What can change the nature of a man? (Bonus points if you don't have to look it up and don't mention the reference 😊)
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Jacob Schreiber
Jacob Schreiber@jmschreiber91·
@lbertinetto Yes -- exactly. A great deal of the work I've done so far is showing that, despite being an "attack" on the model where there is a risk of falling off-manifold, that the results make biological sense.
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Jacob Schreiber
Jacob Schreiber@jmschreiber91·
Ledidi turns any genomics ML model into a controllable sequence designer by inverting the normal ML paradigm. Now, it is significantly faster, flexible, and more powerful than before. Available on GitHub and installable with `pip install ledidi`
Jacob Schreiber tweet media
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Jeremy Howard
Jeremy Howard@jeremyphoward·
I can't begin to describe how life-changing this new project, ShellSage, has been for me over the last few weeks. ShellSage is an LLM that lives in your terminal. It can see what directory you're in, what commands you've typed, what output you got, & your previous AI Q&A's.🧵
Nathan Cooper@ncooper57

As R&D staff @answerdotai, I work a lot on boosting productivity with AI. A common theme that always comes up is the combination of human+AI. This combination proved to be powerful in our new project ShellSage, which is an AI terminal buddy that learns and teaches with you. A 🧵

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Eric Brachmann
Eric Brachmann@eric_brachmann·
As you write your #CVPR2025 papers, think of captivating first sentences. Example? "Creating noise from data is easy; creating data from noise is generative modeling." (from Song et al., ICLR21, arxiv.org/pdf/2011.13456)
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Lucas Beyer (bl16)
Lucas Beyer (bl16)@giffmana·
ChatGPT 4.5 release delay confirmed. Probably coming after the M4’s to give Apple some breathing room. Unrelated, i hear whispers that 3.5 Opus finished safety tests, and Claude 4 aka «  the bandwagon » started training last week.
Aidan Clark@_aidan_clark_

AI researchers think of ourselves as more prepared than most for the future where images/audio/video are generated and can't be trusted and yet somehow ya'll consistently freak out every time an anonymous profile claims to have insider knowledge on a multi-billion dollar company.

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Mandela Patrick
Mandela Patrick@mandelapatrick_·
I’m excited to announce that @vybeappp has raised $4.75M from @stellation, @scribble, @neo, @coalitionvc, @Blueprint. Imagine a world where anyone has access to Beyonce’s photographer on demand in their pocket? vybe - the ai camera makes it one-click. Photos have always been the dominant format of self-expression throughout history. From cave paintings & Kodak analog cameras to filtered mobile photos on Instagram & Snapchat, people have wanted to capture reality & imagination into a visual canvas. Photos have since evolved into a cornerstone for community building and human connection. With the advent of AI, this moment in history presents a new inflection point in the story of photography. It introduces a new era where every story featuring you and your friends is captured with the cinematic quality of a James Cameron film. Your imagination is the only limit for you and your friends. This vision has deeply resonated with our predominantly Gen-Z community, who have consistently used vybe as their personal photographer for months. Their valuable feedback has been instrumental in refining and perfecting the core experience, leading to the product you see today. Our community has created millions of images, demonstrating the immense potential of AI-powered visual storytelling. (1/4)
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Aidan McLaughlin
Aidan McLaughlin@aidan_mclau·
can someone who understands business economics better than i explain why oai doesn’t release q* for like $50 per prompt and why anthropic won’t release claude-3.5-deus for $500/1M tokens? upsides: >update public on capabilities >make a lot of money downsides: >?
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Cursor
Cursor@cursor_ai·
We've raised $60M from Andreessen Horowitz, Jeff Dean, John Schulman, Noam Brown, and the founders of Stripe and Github. Cursor has become recognized as the best way to code with AI, powered by an ensemble of custom and frontier models, delightful editing, and petabyte-scale infrastructure. Our mission is to create a magical tool that will one day write all the world's software. Join us!
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Sasha Rush
Sasha Rush@srush_nlp·
Python mafia: if I'm using mypy, flake8, black/isort, my understanding is that I should replace them with pyright, ruff, yapf? The main upside is speed and vscode compat? Any downsides?
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Luca Bertinetto 🌐 retweetledi
Chris Gibson
Chris Gibson@RecursionChris·
I am thrilled to announce that @RecursionPharma has entered into a definitive agreement to combine with @Exscientia – bringing together our high throughput target biology, foundation models & supercomputing w/ Exscientia’s generative #AI drug design & #chemistry #automation. What’s ahead: Our shared portfolio in #oncology, rare disease, & infectious disease expect to have ~10 clinical readouts in the next ~18 months w/ peak sales opportunities of $1B+ for most if successful. Our shared #pharma partnerships include: @Roche @Genentech, @Sanofi, @Bayer, and @EMDGroup, leading to potentially $200m in milestone payments over the next 2 years & the potential for $20B+ in combined milestones. The #TechBio future is here. $EXAI + $RXRX. Review important and required disclosure related to this information here globenewswire.com/news-release/2…
Recursion@RecursionPharma

We’re thrilled to announce that we’ve entered into a definitive agreement with @ExscientiaAI (Nasdaq: EXAI), combining our high throughput target biology w/ Exscientia’s generative #AI drug design and #chemistry #automation capabilities to industrialize drug discovery & deliver high quality medicines at lower prices. globenewswire.com/news-release/2…

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Luca Bertinetto 🌐
Luca Bertinetto 🌐@lbertinetto·
@chaseleantj "Thanks for the folks at Recall for partnering with me on this post" You could have started with that
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Chase Lean
Chase Lean@chaseleantj·
That’s all for now. Thanks for the folks at Recall for partnering with me on this post, and I hope you found it useful. It’s a great app, whether you want to learn something new, or just wanna keep track of your stuff. You can try it for free here: getrecall.ai
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Chase Lean
Chase Lean@chaseleantj·
This has got to be the coolest AI notetaker ever. It can summarize 2hr YT vids, create knowledge graphs of your notes, and even make flashcards from them automatically! Here’s how it works:
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