Jake Wintermute 🧬/acc @SynBio1
Synthetic Biologist - Foundry Theorist - American Wetware - stay humble biodesigners wintermute.gitbook.io Cambridge, MA Joined June 2014-
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@AaronBlotnick @BASF @exploratorium Sure like I know that automated testing exists. Interested specifically in testing that is shaped like high-throughput screening in pharma and might use similar machines. For example, testing a library of 5000 compounds for some kind of material science endpoint.
In the 1960s Polaroid screened 5,000 chemicals in the process of developing color film I'm very familiar with high-throughput chemical screening for drug discovery, but less so for other industries. What other non-biology domains need biology-like automated screening?
Weekend project complete: Run (Free)BindCraft on your mac! Check out the latest version 1.0.6 which supports experimental support for apple silicon (github.com/cytokineking/F…).
@fulop_dan We're dynamic but let's not get carried away now
@jdudley How dare you I’ve never said a bad prophecy in my life
AI is the Great Filter. AI is the answer to Fermi's Paradox Intelligent life has evolved a million times. But life always invents AI and allows it to take control Then AI, in some limit of scale, always decides the universe is not worth exploring
Humans are intelligent life and humans have a range of opinions about whether or not to explore. So if intelligent life in the universe is human-like it will also have a range of opinions. To address Fermi's paradox, you need to offer a highly general reason why no intelligent life ever chooses to explore. The concept of AI is important in this claim because the capabilities of AI appear to follow general scaling laws I am proposing that, as AI scales, it converges to certain behaviors. So AI created by different civilizations would tend to behave similarly as it advanced. If that behavior is "do not explore" - it would explain Fermi's paradox. This proposal is absolutely not evidenced - no proposed resolution of Fermi's paradox is.
We must biologize the stars
@MichaelTontchev Any proposed resolution to the Fermi paradox requires deep speculation about the hypothetical nature of unobserved intelligent life. That's the game. I appreciate that some people find it unsatisfying
Yes, we would see evidence if they were expansionary. Which is why the entire point of my conjecture is to offer a reason why they would never be expansionary. An AI might not be a "seed" - producing a different outcome each time. It is also possible that every ASI converges the same conclusion when it gets large enough
@MichaelTontchev Because they don't care to be found. They aren't transmitting anything In the limit of the scaling laws, the RSI super-brains running 10^30 parameter models always decide not to engage with the rest of the universe
@lVlarty I’m not an ancestor simulation you are
It will be morbidly interesting to see the diversity of schemes which AI cooks up to kill exactly 50 people
Anthropic's proposed AI safety bill sets "killing or seriously injuring more than 50 people" as the risk threshold for blocking the release of an AI model In contrast, when a single patient (Jesse Gelsinger) died in a gene therapy clinical trial in 1999: - The institute that
Exactly. And the problem is worsened by the fact that biotech is also risk-averse when it comes to trying new strategies to gain trust Everyone hates the corporate clichés that pharma companies slop out. "We put patients first" might be least believed line in all of marketing But we keep repeating the same things because the tradition of biotech is to fear change
Anthropic's proposed AI safety bill sets "killing or seriously injuring more than 50 people" as the risk threshold for blocking the release of an AI model In contrast, when a single patient (Jesse Gelsinger) died in a gene therapy clinical trial in 1999: - The institute that ran the trial was dissolved - The senior scientist running the trial was banned from clinical work for 5 years - Gene therapy saw deep cuts in funding and research activity for a decade Tech and biotech have just profoundly different cultures of risk. As AI companies increasingly engage with biomedical research, a culture clash is inevitable politico.com/news/2026/10/1…
@elazar_g Maybe in some hypothetical world where gene therapies are unregulated? There is 0.00% chance this could happen in any developed country today because regulators would take it from the market long long long long before
Sebastian S. Cocioba�... @ATinyGreenCell
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杉本健太郎 / Ken... @hippies21th
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Milly 🎁 🔥 🚀 ... @LZ24prMc0bQyfr
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Daniel @rostamorakhsh
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Sebastian S. Cocioba�... @ATinyGreenCell
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Sid @mosasaurus27
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Jacob Boysen @jboysen0
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American Wetware @americanwetware
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