Javier Tordable

CEO at AI → drug discovery → extend human longevity. Ex-Google, Microsoft.

[Javier Tordable @tordable]

https://t.co/OGYdTDQryE

[Javier Tordable @tordable]

iPhone search is even worse than Gmail search.

[Javier Tordable @tordable]

@boringmarketer you too? https://t.co/GaJgsPN9rV

[Javier Tordable @tordable]

https://t.co/CbYUUpkHzd

[Javier Tordable @tordable]

@charliejhills Indeed https://t.co/bPpUiXS3O8

[Javier Tordable @tordable]

@RoundtableSpace Indeed https://t.co/bPpUiXS3O8

[Javier Tordable @tordable]

@cathrynlavery No kidding https://t.co/bPpUiXS3O8

[Javier Tordable @tordable]

@NoahEpstein_ Indeed https://t.co/bPpUiXS3O8

[Javier Tordable @tordable]

@om_patel5 Yep https://t.co/bPpUiXS3O8

[Javier Tordable @tordable]

https://t.co/CbYUUpkHzd

[Javier Tordable @tordable]

Party is over. Thankfully there is competition. Gemini and all the Chinese models, GLM, Kimi, Minimax, etc.

[ℏεsam @Hesamation]

Redditor claims Claude Code is nerfed for Pro/Max users vs Enterprise customers and the strategy is to use the paid plan users to generate hype on X and LinkedIn so companies would reach out to them.

[Javier Tordable @tordable]

@fin465 Guide

[Anish Moonka @anishmoonka]

Every time you get a cancer biopsy, the lab makes a tissue slide that costs about $5. It shows the shape of your cells under a microscope, and every cancer patient already has one on file.

There’s a much fancier version of that test called multiplex immunofluorescence (basically a protein-level map showing which immune cells are near your tumor and what they’re doing). It costs thousands of dollars per sample, takes specialized equipment most hospitals don’t have, and barely scales. But it’s the kind of data oncologists need to figure out whether immunotherapy will actually work for you. Right now, only about 20 to 40% of cancer patients respond to immunotherapy, and one of the biggest reasons is that doctors can’t easily tell whether a tumor is “hot” (immune cells actively fighting it) or “cold” (immune system ignoring it).

Microsoft, Providence Health, and the University of Washington trained an AI to analyze the $5 slide and predict what the expensive test would show across 21 different protein markers. They called it GigaTIME, trained it on 40 million cells in which both the cheap slide and the expensive test coexisted, and then turned it loose on 14,256 real cancer patients across 51 hospitals in 7 US states.

The results landed in Cell, one of the most selective journals in biology. The model generated about 300,000 virtual protein maps covering 24 cancer types and 306 subtypes. It found 1,234 real, verified connections between immune cell behavior, genetic mutations, tumor staging, and patient survival that were previously invisible at this scale. When they tested it against a completely separate database of 10,200 cancer patients, the results matched up almost perfectly (0.88 out of 1.0 agreement).

Nature Methods named spatial proteomics (mapping where specific proteins sit inside your tissue) its Method of the Year in 2024, and specifically cited GigaTIME in a March 2026 update as a model that “democratizes” this kind of analysis. The full model is open-source on Hugging Face. Any cancer research lab with archived biopsy slides, and most of them have thousands, can now run virtual immune profiling without buying a single piece of new equipment.

[Javier Tordable @tordable]

https://t.co/5RcE4I9c5b

[Javier Tordable @tordable]

@elvissun @github Why not add a branch restriction to require a code review and then have the agent send the OR for review?

[Javier Tordable @tordable]

Even @Delta diamond call center is now a stupid chatbot. What has the world come to?

[Javier Tordable @tordable]

@VijayInWA Where to, though?

[Javier Tordable @tordable]

Can’t wait for the class action lawsuit…

[Iván Arcuschin @IvanArcus]

You change one word on a loan application: the religion. The LLM rejects it.

Change it back? Approved.

The model never mentions religion. It just frames the same debt ratio differently to justify opposite decisions.

We built a pipeline to find these hidden biases 🧵1/13

[Javier Tordable @tordable]

@thewardoll @treblewoe In your anglocentrism you may have misspelled The Cid.

[Eric S. Raymond @esrtweet]

If you are a software engineer "experiencing some degree of mental health crisis", now hear this, because I've been coding for 50 years since the days of punched cards and I have a salutary kick in your ass to deliver.

Get over yourself. Every previous "programming is obsolete" panic has been a bust, and this one's going to be too.

The fundamental problem of mismatch between the intentions in human minds and the specifications that a computer can interpret hasn't gone away just because now you can do a lot of your programming in natural language to an LLM.

Systems are still complicated. This shit is still difficult. The need for people who specialize in bridging that gap isn't going to go away.

As usual, the answer is: upskill yourself and adapt. If a crusty old fart like me can do it, you can too.

[Chaitanya K. Joshi @chaitjo]

I recently joined The Pauling Principle podcast with @tordable to discuss our research on RNA design, hot takes on architecture research in BioML, origins of life, and being in a wet lab!

Feels pretty surreal that I'm interesting enough to be on a podcast (?) 🧵