Federico
federicovaggi.bsky.social
Federico
@federicovaggi.bsky.social
F_vaggi on Twitter. Senior staff scientist at Google X, previously Amazon.
Reposted by Federico
I don't think I've ever seen gears shift this fast before.
February 15, 2026 at 9:50 PM
Reposted by Federico
Bluesky in a nutshell.

Some context: BLS released its jobs numbers today, which were better than expected, and resistance libs would rather stay mad/conspiratorial than listen to actual on-the-ground experts that the data is still reliable.
February 11, 2026 at 4:49 PM
Reposted by Federico
New preprint! So, what's a multiverse analysis good for anyway?>

With @jessicahullman.bsky.social and @statmodeling.bsky.social

juliarohrer.com/wp-content/u...
February 4, 2026 at 10:24 AM
An interview by Chotineer with the cinematographer behind Melania, it went exactly as you'd expect.

www.newyorker.com/culture/q-an...
February 2, 2026 at 4:31 AM
Reposted by Federico
A video of Alex Pretti reading out the final salute of an unnamed veteran he cared for until the end of his life in the ICU, posted to Facebook by his son.
January 25, 2026 at 1:18 AM
Reposted by Federico
Amazingly balanced and down-to-earth discussion on the future of AGI.

Very good, knowledgable, informative host with great questions driving it, referring back to relevant past comments.

However you feel about the topic, this is worth watching. 1/4

www.youtube.com/watch?v=02YL...
FULL DISCUSSION: Google's Demis Hassabis, Anthropic's Dario Amodei Debate the World After AGI | AI1G
YouTube video by DRM News
www.youtube.com
January 23, 2026 at 3:32 PM
This is a point I desperately wish more people (especially here) would grasp. There are very few low hanging fruits or pareto improvements when it comes to big policy questions, almost all policy decisions involve pissing at least some people off.
Governing means making trade offs and disappointing people. People tend to see the glass half empty rather than being grateful for what they get. So you get a lot of disappointed people.
January 18, 2026 at 6:35 PM
Reposted by Federico
I wrote something up for AI people who want to get into bluesky and either couldn't assemble an exciting feed or gave up doomscrolling when their Following feed switched to talking politics 24/7.
The AI Researcher's Guide to a Non-Boring Bluesky Feed | Naomi Saphra
How to migrate to bsky without a boring feed.
nsaphra.net
April 26, 2025 at 1:31 AM
This is a good write up, but, I think it's missing an important angle. The challenge is that people *want* to believe it's true, and that post was perfectly calibrated to appeal to people's priors, in spite of having a lot of obvious "tells" that had nothing to do with AI.
The author of a viral Reddit thread alleging fraud at a food delivery company tried to back up his claim by sending me AI-generated documents. Today I'm publishing those documents in the hopes that it helps other reporter see what we're up against in the age of AI www.platformer.news/fake-uber-ea...
January 7, 2026 at 3:59 PM
Of course it would probably help if I pasted the right url: federicov.github.io/uncertainty-...
January 6, 2026 at 9:51 PM
Reposted by Federico
My first foray into systems biology -- this work was led by Boya Hou, a postdoctoral researcher at UIUC, now on the academic job market. She presented an early version of these results at the @nitmb.bsky.social MathBio Convergence Conference in August of 2025.
January 6, 2026 at 4:04 AM
Following @nsaphra.bsky.social - will try to do more science posting here as well. Here is a little project I worked on during the Christmas break. Using semantic entropy as a regularizer to calibrate LLM uncertainty: federicov.github.io/uncertainty-...
federicov.github
January 6, 2026 at 3:57 PM
Reposted by Federico
I find it hard to square the preciousness about "why would someone ever stay on Twitter?" when everyone on this site knows that the community here intentionally chased off lots of people.
January 5, 2026 at 5:41 PM
Reposted by Federico
will do the same!
I'm going to start doing this every month to help new users dipping their toes in. If you post about AI research here, like this post. I'll follow you.

(Like even if I already follow you, to help others find you too.)
January 5, 2026 at 9:32 PM
Reposted by Federico
What if you could train agents on a 𝗱𝗲𝗰𝗮𝗱𝗲 of driving experience in 𝘂𝗻𝗱𝗲𝗿 𝗮𝗻 𝗵𝗼𝘂𝗿, on a single GPU?

Excited to share 𝙋𝙪𝙛𝙛𝙚𝙧𝘿𝙧𝙞𝙫𝙚 2.0: A fast, friendly driving simulator with RL training via PufferLib at 𝟯𝟬𝟬𝗞 𝘀𝘁𝗲𝗽𝘀/𝘀𝗲𝗰 🐡 + 🚗

youtu.be/LfQ324R-cbE?...
PufferDrive 2.0 release
YouTube video by Daphne Cornelisse
youtu.be
December 30, 2025 at 4:12 PM
Reposted by Federico
I appreciate the forthright acknowledgement of the mistake from the author, and look forward to decisive action by @princetonupress.bsky.social to correct this error, and any others, that made it past their robust editorial process.
December 29, 2025 at 5:36 PM
I actually think people are earnest when they believe that <claim> is false. The process of justification is something like:
- <claim> is upheld by people I don't like, which is very strong evidence it's false.
- <claim> undermines something I think is important or implies a trade off
Person A: <claim>

Person B: Did you honestly say <claim>? You idiot. You moron.

Person A: What is incorrect about <claim>?

Person B: I can't tell you, for Secret Reasons.

***

I don't understand why Person B thinks this is effective rhetoric.
December 24, 2025 at 8:33 PM
Behold, the king of all academics: you might enjoy this @lastpositivist.bsky.social
December 22, 2025 at 8:19 PM
Reposted by Federico
Deleted a post that was going viral and bringing an undesirable amount of attention from anonymous accounts. But, I'm going to be honest, the toxic folks here have won. So much of the usage of the site is about avoiding their attention. I'll just use this site to get book recs going forward
December 21, 2025 at 1:33 AM
Great interview between Ezra Klein and the Ellie Hassenfield - the leader of Givewell:

www.nytimes.com/2025/12/16/o...

Gifting the article here - highly encouraging everyone to donate to them, they are an amazing organization staffed by amazing people.
Opinion | What Does It Mean to Give Well?
www.nytimes.com
December 16, 2025 at 4:11 PM
Reposted by Federico
There's a sucker born every minute as the saying goes. People who bet on the president's meme coins being their ticket to riches have been sorely disappointed. $TRUMP is down 92% since its peak and $MELANIA was down 99%.

At this point, you can only blame yourself if you fell for this grift.
Donald and Melania Trump’s Terrible, Tacky, Seemingly Legal Memecoin Adventure
No one wants to claim credit for helping the first couple launch cryptocurrencies that plummeted more than 90% from their peak.
www.bloomberg.com
December 16, 2025 at 12:49 AM
Reposted by Federico
Extraordinary courage from Ahmed al Ahmed, a Muslim, 43-year-old father of two, who bravely risked his life to save his neighbors celebrating Hanukkah.

Praying for his full & speedy recovery.

And so deeply inspired by his example.
WATCH: Bystander disarms active shooter at Bondi Beach in Sydney
December 14, 2025 at 2:37 PM
Reposted by Federico
Incredible piece on Oliver Sacks. If you were ever awed at his supposedly true stories (I remember being stunned by the account of the autistic twins who rattled off large prime numbers), read this. He told wonderful stories, but they were in large part fiction.

www.newyorker.com/magazine/202...
Oliver Sacks Put Himself Into His Case Studies. What Was the Cost?
The scientist was famous for linking healing with storytelling. Sometimes that meant reshaping patients’ reality.
www.newyorker.com
December 12, 2025 at 10:33 PM
Reposted by Federico
I have purchased the PACER documents so everyone can read the impact statements submitted by victims of Do Kwon and the 2022 Terra/Luna meltdown. Collapses like these ruin lives.

www.courtlistener.com/docket/67087...
December 11, 2025 at 10:16 PM
Reposted by Federico
Can vision transformers learn without images?🤔👀
Our latest work shows that pretraining ViTs on procedural symbolic data (eg sequences of balanced parentheses) makes subsequent standard training (eg on ImageNet) more data efficient! How is this possible?! ⬇️🧵
December 10, 2025 at 11:06 AM