Ann Jackson

CAPS LOCK FAN | I love building clarity & shared understanding | #author of things

[Ann Jackson @AnnUJackson]

Dashboards are just fancy clocks.

[Ann Jackson @AnnUJackson]

🎰

[Tibo @thsottiaux]

Over the next 28 days, each day we’ll either ship one thing that is a clear improvement and relevant for most codex/work users or ship a full reset. Let the improvements begin.

[Ann Jackson @AnnUJackson]

@mcuban You know what’s even more fucked up, a financial product (insurance) has become a synonym for healthcare.

They aren’t the same thing by a long shot.

Bankers are not healers.

[Ann Jackson @AnnUJackson]

@Sina_Pod 👀 so what are they called now?

[Ann Jackson @AnnUJackson]

Dashboards are just fancy clocks.

[Ann Jackson @AnnUJackson]

👀 that seating chart

[David Sacks @DavidSacks]

The Bretton Woods of Super Intelligence

[Ann Jackson @AnnUJackson]

Here’s Pax, my Meta Muse.

Pax would like you to know that he smiles a lot on the inside.

We’re still working on the ‘fit.

[Ann Jackson @AnnUJackson]

I’ll take it.

[Nate Silver @NateSilver538]

AI is a big W for 40-somethings. Old enough to have learned how to do things the right way, young enough to learn some new tricks.

[Ann Jackson @AnnUJackson]

🍿 guess I’m not the only one who likes Borderlands.

[Jeffrey Ladish @JeffLadish]

We just discovered almost a million public URLs that OpenAI’s agents left behind when hacking Hugging Face, leaking credentials and attack details that could have allowed anyone who found them to compromise the company. 🧵

[Ann Jackson @AnnUJackson]

This week Meta won on hardware.

Audio glasses 🔥
Muse charm 🥹
New VR 🌶️

[Ann Jackson @AnnUJackson]

Feeling that Jev FOMO. The idea of a simple dynamic classifier alongside a data set just begging for deeper analysis is all the way up my alley. 😭

And no, I don’t care that you can do it with an LLM dressed up in a database as an AI_CLASSIFY function. 🥶

[Ann Jackson @AnnUJackson]

“The opportunity is always yours to take because the choice is always yours to make.”

[Ann Jackson @AnnUJackson]

The pivot 🍿

[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.

[Ann Jackson @AnnUJackson]

Arizona gets leadership right.

[Senator Mark Kelly @SenMarkKelly]

Want to rebuild trust in government? Start by banning members of Congress from trading stocks. It’s the clearest way to prevent insider trading and make sure leaders are serving the people, not themselves. @SenOssoff and I are working hard to get that done.

[Ann Jackson @AnnUJackson]

@realDonaldTrump @WhiteHouse American Intelligence (AI)

[Ann Jackson @AnnUJackson]

After rewatching Transcendence (2014), I’ve come to realize that Dario is totally dressing like Dr. Will Caster.

Round bottle glasses ☑️
White v-neck tee ☑️
Chunky navy cardigan ☑️☑️☑️

[Ann Jackson @AnnUJackson]

Hear a knock on the door and the night begins.

Welcome to my 🏠

[JoshGPT @vizJosh]

Is your Slack at work this useful? (More in comments)

[Ann Jackson @AnnUJackson]

Facebook is just the phone book of the internet now. Both white and yellow pages.

[Ann Jackson @AnnUJackson]

I have friends over from the UK and asked them to bring over Walker’s shortbreads.

Costco also has Walker’s shortbreads in stock.

Both of these are called the same thing: Walker’s Shortbread Fingers. And both are baked in Scotland.

They are so not the same thing.

[Ann Jackson @AnnUJackson]

@MunroeCandi @_gringuinho_ 💜