HB

Crack and putt putt

[HB @AKAQuub]

Should have stopped shopping at Whole Foods when I realized the cheapest thing there is a BMW parked outside #ShouldHaveStoppedWhen

[FischerKing @FischerKing64]

The national debt is $40 trillion and growing.

[HB @AKAQuub]

@techNmak @grok song name?

[Zito @_Zeets]

Just randomly remembered this

[ThePapaManDave @ThePapaManDave]

Ain’t that the truth. 😁

[liminal @Liminal1988]

Six good things hiding in plain sight:

[Erika Alden DeBenedictis @erika_alden_d]

Today, Pioneer Labs is announcing our first step towards terraforming Mars. 🚀🌼

With equipment that fits in just a single rocket launch, we can convert Martian dirt, water, and air into enough building materials to construct a small city on Mars.

To do it, we made the first microbe for Mars. We found the best microbe on Earth and used evolution to teach it how to source all of its nutrients directly from Martian materials.

The first astronauts will be greeted with safe shelter already filled with water, oxygen, and rocket fuel for the return journey.

This is the first step toward using biology to make Mars a friendly place for life. It lets us live off the land and helps us build the next great frontier.

It's the first of five organisms we need to green Mars ⬇️

[Dan Stark @itsdanstark]

Someone has to write a guide or roadmap for humanity to achieve this kind of utopian future.

A comprehensive guide or blueprint for humanity to realize such a future and become a K2 civilization and beyond.

If no one else does, might have to write an article on it myself, sooner or later.

[A. @atrashybeing]

he was two boyfriends ago my great great boyfriend

[Min Choi @minchoi]

This is wild.

Claude just found something humans missed.

It spotted a hidden repeat pattern in raw bacteriophage DNA…

…and uncovered a previously unknown enzyme system in bacteriophages with CRISPR-like repeats. 🤯

950 agents. 21 hours. 210M tokens.

[Dario Amodei @DarioAmodei]

Today we announced the Claude-led discovery of a molecular machine that we suspect could represent a new gene editing mechanism. Its precise function, biotechnological utility (if any), or level of significance is not yet clear, but at minimum it is work I would have been proud to do as a PhD student. The work was done mostly, though not entirely, by Claude: our life sciences team suggested a broad area of research, Claude read through the literature and a bunch of genome data and discovered something interesting, then Claude proposed experiments to verify the discovery and our team carried them out.

It’s easy to dismiss this as a one-off or curiosity, but we’ve repeatedly seen a pattern where AI performance in new intellectual domains goes from weak to superhuman in a matter of a few years. In 2023 models struggled to do math at the level of an average high-school student. In 2024 they started to do well on math competitions for the best high-schoolers in the country, in 2025 they started to solve minor open problems, in early 2026 more significant open problems, and in late 2026 they are beginning to solve the top few open problems in all of mathematics. We believe AI for biology is on a similar exponential trend.

The main difference between biology and mathematics, of course, is that math can be done purely theoretically, while biology requires experimentation. Some have used this to draw the conclusion that AI’s utility in biology will be limited. We think this is wrong. As we’ve demonstrated today, humans can collaborate with AI to perform the experiments, validate key results in a few weeks and, if necessary, work with the AI to iterate on what they find. Eventually it may even be possible for Claude itself to safely perform the experiments by autonomously controlling lab equipment, with appropriate safeguards in place, but we aren’t doing that today (our lab is also a BSL1/BSL2 facility that doesn't handle materials dangerous to humans).

More broadly, biomedical advancement has many stages — from fundamental biology discoveries, to translational research, to drug discovery, clinical trials, and finally the actual delivery of medicines and health care to patients. We are also interested in these later stages, but even simply accelerating the first stage of fundamental biological discoveries has the potential to speed up and broaden the entire pipeline. Improving our understanding of biology and sharpening biologists’ tools can drive forward all of the later stages, for example by identifying new drug targets, finding new therapeutic modalities, allowing for more precise measurement, and speeding up the experimental loop which itself further accelerates our understanding of biology. This will not in itself speed up clinical trial times, but if it succeeds it could greatly increase the number of promising candidates that go into the pipeline — an increase in throughput even though latency remains.

In Machines of Loving Grace, I wrote about AI’s potential to “cure most diseases in 5-10 years” — a goal that sounds impossible, but one I believe is just barely possible if AI is applied to every stage of the pipeline. The first step is showing that AI can first help with, and then drive, biological discoveries.

Claude’s discovery is the latest in a line of related prior work that goes back decades, beginning with systems like CRISPR, and continuing with discoveries like the bridge recombinase and VIPR in the past few years. Recently, there has been heightened interest in systems based on reverse transcriptase (RT) enzymes, the enzyme underlying the system Claude identified. And most recently, a Stanford team working independently described a novel RT system with an associated non-coding array that is in some ways similar to the one Claude found, though they are distinct systems that evolved independently from each other. I believe that we’re at the very beginning of finding such systems and developing them into powerful tools for biotechnology.

I’m proud of the resources Anthropic has invested in accelerating the public benefits of AI through the life sciences, and we’re aiming both to grow our life sciences team and to work with other scientists to extend this approach to a broad range of problems. If you have a proposal for a research collaboration or are interested in joining our life sciences team, please reach out.

[Polymarket @Polymarket]

BREAKING: Anthropic’s new wet lab produces its first discovery, with nearly 1,000 Claude agents autonomously uncovering a novel enzyme system after 21 hours of work.

[unusual_whales @unusual_whales]

Trump has traded more stocks than all of Congress combined, per FORTUNE.

[one dozen rats at a keyboard @PanasonicDX4500]

explaining to cam skattebo that he won’t be able to play with jaxson anymore using the same hand signals they used to tell koko the gorilla her cat died

[Peter Lucier @PeterLucier]

my girl when the tour guide at the historical site says that I asked "a very good question"

[Vivian @suchnerve]

Y’all ever think about how the phenomenon of morning wood means humanity has been doing a nonstop global boner wave

[TAKO @Takooo0ooooX]

amerikalıların tükettiği aşırı hormonlu ve ultra işlenmiş gıdalar geri zekalılığa neden oluyor olabilir

[Micah Erfan @micah_erfan]

This is quite literally the most important thing we could do as a country.

[أحمـد ⛈️ @A_MQQ_]

رغم أخطاء أوروبا 🇪🇺 الفادحة في حق البشرية إلا أنهم في مسألة الغذاء يحافظون على شروط صارمة جداً، وهذا الملف أحد أكبر الخلافات بينهم وبين الأمريكان 🇺🇸

[Evan Kilgore 🇺🇸 @EvanAKilgore]

Lol