Roland Ewald

Co-founder @limbusmedtec, working on clinical #genomics platform #varvis. (Views my own.)

[Mark Lewis, MD, FASCO @marklewismd]

Cheers, chills, and a standing ovation when RASolute 302 showed unprecedented survival on daraxonrasib for patients with progressive pancreatic cancer

Seldom do you sense you’re witnessing a historic moment in cancer care but this feels like ras targeting has arrived

#ASCO26

[Son Luong @sluongng]

Codex just found a “workaround” of not having sudo on my pc…

[Mitchell Hashimoto @mitchellh]

I've got an agent in a loop optimizing a renderer with the goal to minimize frame times (and tests to measure). It got times down from 88ms to 2ms and allocations down from ~150K to 500. Sounds good, right? Wrong. This is exactly why agent psychosis is a big fucking problem.

As an experiment, I rewrote the Ghostty core render state in Go, with access to identically laid out data structures as Ghostty and the exact same validation tests. I made a purposely naive renderer (simple, correct, but slow). 88ms per frame with 150,000 allocations (horrendous, lol)!

I then kickstarted a Ralph loop to bring the frame times down. I told it it can't modify input data structures or the public API or tests (they're correct), but it can do anything else it wants. It got to work.

It has worked for about 4 hours. I've spent around $350 on this experiment so far. The results?

88ms => 1.5ms
150K allocs => ~500 allocs

Incredible right? Nope.

My hand-written renderer I ported has frame times (same benchmark) of ~20us (0.020ms) and 0 allocations in the update path.

This is the problem with psychosis and lacking systems understanding. If you don't understand the system, you're going to accept that this is an incredible result. If you understand the system, you'll see better solutions immediately and can do roughly 75x better on throughput.

The people who blindly trust agent output are in the former camp. They're sheeple, overdrinking from a fountain of mediocrity.

Standard disclaimer: I use AI all the time. I like AI. The point I'm making is to not blindly accept results. Think. Analyze. Learn.

[Claude @claudeai]

Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors.

Available today at the same price.

[Timothy Gowers @wtgowers @wtgowers]

AI has now solved a major open problem -- one of the best known Erdos problems called the unit distance problem, one of Erdos's favourite questions and one that many mathematicians had tried.
https://t.co/SD1vVPkrHR

[Max Marchione @maxmarchione]

In some very real sense, Ozempic was invented in 1990. Pfizer ran the human trials and just never published them.

They showed it lowered blood glucose in diabetics, slowed gastric emptying, and killed hunger; the same 3 things that make Ozempic work today.

The joint venture agreement said internal data stayed internal, and that was that. Pfizer killed the program in 1991. The reasoning, as far as I can tell, was that nobody would ever want an injectable diabetes drug besides insulin.

So, the license went back to the hospital in Boston that held the patents.

Novo picked it up in 1992 and spent the next two decades building liraglutide, then semaglutide.

It's insane that data sat in a filing cabinet for 30+ years.

I only know this because Jeffrey Flier, one of the Harvard scientists in the room, finally wrote it up. He's in his late 70s and didn't want the history to die with him.

This makes you wonder what else is in those filing cabinets.

Ozempic could've existed 27 years ago.

[Andrew White 🐦‍⬛ @andrewwhite01]

hallucinated references will land you a 1-year ban from arxiv now. wow

[Timothy Gowers @wtgowers @wtgowers]

I've recently got in on the act of getting AI to solve open problems in mathematics. More precisely, I gave some questions asked by Melvyn Nathanson to ChatGPT 5.5 Pro, to which I have been given access, and it answered them. 🧵

[Ethan Mollick @emollick]

So Mythos was, indeed, not marketing hype.

Remember this is a general purpose model that just happens to be good at finding exploits because good models are good at lots of things. Expect similar from OpenAI & Google. And from open models in 8 months. https://t.co/KbhalQYX8R

[Zhou Xian @zhou_xian_]

The past year has been the happiest period of my life.

Genesis is a place of miracles.
We set countless ambitious goals.
None of them seemed possible with existing technology.
One by one, we made them real.

The density of breakthroughs coming from such a small team, across so many directions at once, feels almost rare in human history.

What you see here is fully autonomous, 1x speed, run on the exact same model.

[Nate Krah @N8Krah]

🧬 New paper out in @Nature! We used CRISPR to selectively kill cancer cells based on a single-letter mutation in their RNA. The story I want to highlight: KRAS — one of the most notorious drivers of human cancer. A short thread on what we found 🧵

[Ethan Mollick @emollick]

Every so often I think about how, in 2022, for $24B we could had "prototype vaccines ready for each of the 26 known viral families that cause human disease" so they can be deployed in 100 days if there was ever a need.

This effort was not funded. https://t.co/TJBuqp69Nn

[Lilith Wittmann @LilithWittmann]

Some Gambling Companies might not have been able to use the long weekend to start a new shell company in Malta. That's because, since Thursday, the @MaltaBRegistry has been offline.

And no, this time I really did not hack you. You sold me 1.3 Million PDFs for 1ct - via your API.

[Niko McCarty. @NikoMcCarty]

Huge news. A gene therapy for deafness, targeting a mutation in the OTOF gene, is approved.

Restored hearing in 9 of 12 children, well enough that they could stop using cochlear implants. The treatment will be free in the United States.

[Danny Arends @DannyArends]

Our paper in @Nature today 🥳 We tracked 6,438 mice from puberty to death and mapped the genetics of *when* you die, not just whether a gene associates with lifespan.

https://t.co/EoeexqJoHk

59 loci. Two decades of data. Thread 👇

#Longevity #Aging #Genetics #Healthspan

[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

[Bo Wang @BoWang87]

Pancreatic cancer has one of the most suppressive tumor microenvironments in oncology.

But two pancreatic cancer results dropped today. Both matter.

1. BioNTech mRNA neoantigen vaccine: nearly all responders still alive at 6 years. 98% of induced T cells were de novo — the immune system learned to see a cancer it had always been blind to.

2. Daraxonrasib: 47% ORR, 92% disease control as first-line monotherapy. KRAS G12D, undruggable for 40 years, finally has a drug.

Different mechanisms. Same disease. Both working.

<13% of patients survive 5 years. That number is about to change.

great day for science! 🔥

[War Monitor @WarMonitors]

The greatest free advert in history

[NASA @NASA]

One last look at Earth before we reach the Moon.

This view of the Earth was captured on April 5, the fourth day of the Artemis II mission, from inside the Orion spacecraft. The four astronauts will reach their closest approach of the Moon tomorrow, April 6.

[flavio @flaviocopes]

How Axios was compromised 🤯