
Partner @GradientVC. Before: ML + Systems PhD @Stanford, Researcher @Microsoft, @NASA, Engineer at early stage startups.
New York, NY
Joined February 2011
- Tweets83
- Following185
- Followers261
- Likes2K
vig sachidananda retweeted
Quasi-RH?!?!???! Are you kidding me? If a human did this, it would be an instant Fields Medal, no questions asked.
RH says zeta has no zeros in Re(s)>1/2. The best we had until a second ago was a region that got thinner and thinner the higher up the imaginary axis you go. I thought maybe they’d fatten that up a bit, that’d be a massive breakthrough. But no. They got a zero free strip!!!! Insane
We’re releasing a broad range of new mathematical results produced by an internal frontier model.
We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results.
github.com/openai/math
vig sachidananda retweeted
The most important briefings of the day.
Karl Deisseroth, professor of bioengineering and of psychiatry and behavioral sciences, shares the news of his Nobel Prize with his kids.
Excited to back Polyphron in building the verification substrate for biology. AI models have demonstrated remarkable capabilities in strongly verifiable domains such as math and code. @thematthewosman @FabioZB_I + team are working to make that a reality for drug discovery.
Read more about our partnership with the team below!
gradient.com/blog/posts/inve…
cc: @darian314 @GradientVC
vig sachidananda retweeted
Today we’re announcing we’ve raised $20M in seed financing led by @QuietCapital , with participation from @GradientVC , @haystackvc and @CompoundVC and other amazing folks to build the verification layer for AI-driven biology.
We are also delighted to be welcoming @vqctran who is joining us from @GoogleDeepMind as a co-founder.
AI is not going to cure all diseases without a verification substrate - a scalable environment where models can test predictions and learn against living human biology.
AI is becoming increasingly capable of generating biological hypotheses, therapeutic candidates and experimental designs. But generating ideas is advancing much faster than our ability to test what those ideas will actually do in human biology. Existing systems force a tradeoff: the most biologically relevant approaches are slow and expensive, while faster in vitro and computational systems often lack the fidelity needed to capture human response.
Polyphron’s bet is that tissue is the fastest, cheapest, most parallelizable verification substrate that still contains the biology that matters and we believe the path to biological superintelligence runs through closed-loop interaction with these living and simulated human systems.
Thank you to @axios for covering the announcement.
Link to our new website in the thread.
vig sachidananda retweeted
NEW: Tim Cook sends a final memo to Apple employees on his last day as CEO. “I will miss this work in ways I can only begin to imagine, even as I remain completely at peace with my decision,” he says, adding he has “enormous comfort” with Ternus in charge. bloomberg.com/news/articles/…
vig sachidananda retweeted
100% Agree @GavinSBaker. Now, I'm going to debunk every single piece of mis-information about data centers that I've ever seen online:
> DISINFORMATION: Data centers use a lot of water.
FACT: Most AI data centers are closed loop dry cooler design that barely consume any water at all. A 20MW 10,000 GPU cluster needs 20,000 gallons to charge and doesn't use material water after that. That's less than 1/4 of the amount of water used to raise the amount of beef the average American consumes in a year. That means one of the largest data centers in the world, at 2GW, consumes less water than 20 people's annual beef consumption or three American's total water footprint (@ ~600k gallons per year for the average American).
> DISINFORMATION: Data centers increase electricity prices.
FACT: Data centers bring down a community's average electricity bill because they spur development of new power generation. Most data centers bring their own power generation, pay fees to the utility to build more power plants, or bring their own power storage to actually reduce the cost of energy in their community. Northern Virginia has some of the most data centers per capita and has low power costs. See research from the Electric Power Research Institute marketplace.org/story/2026/0… and arxiv.org/pdf/2606.19777.
>DISINFORMATION: Data centers don't create jobs
FACT: Data centers create hundreds of jobs at construction and a high number of exceptionally high paying jobs (many over $120k/year) for their ongoing operation and maintenance. No, they're not similar to an automotive plant in terms of the jobs / MW but they are phenomenal additions to an industrial park and community.
> DISINFORMATION: Data centers are constantly super noisy
FACT: Data centers are one of the quietest industrial buildings in the world. Drive by a data center in your city and roll down your window. They are very quiet. In fact, a metal mill is FAR louder than a data center---up to 10,000,000 more sound energy is produced by a mill and perceptually a mill can be 128x louder than a data center.
> DISINFORMATION: Data centers emit noise pollution from diesel engines running all the time.
FACT: Emergency generator sets are almost never turned on unless the grid connection goes out. This would be less than 0.5% of the time!
> DISINFORMATION: Data centers are surveillance systems
FACT: Data centers actually just host computers owned by private companies that are used to make phone calls, access the internet, run ChatGPT, Claude, X, Instagram, Facebook, Google, play multiplayer video games, and every thing you ever do online. That's it.
> DISINFORMATION: Data centers make water dirty
FACT: AOC held up a bottle of dirty water and said this is what data centers do. Completely false, well water disruption is a rare side effect of EVERY construction site in the history of humanity. This is not at all unique to data centers and is a complete red herring.
> DISINFORMATION: Data centers get massive tax breaks and drain tax dollars from towns
FACT: Data centers pay massive amounts of tax and often times huge % of an annual budget of a county or town! It's an absolute bonanza for the towns that are lucky enough to welcome a data center. New schools, new roads, new services are all paid for. Even if there is a sales tax rebate we're still talking tens of millions of new tax revenue. In 2022, Virginia’s data centers collectively generated $1 billion in local tax revenue and $640 million in state tax revenue! That was 2022. netchoice.org/wp-content/upl…
Feel free to reply here if you have any other question you'd like answered about data centers happy to provide actual facts.
.@bhorowitz on why he refused the Databricks founders' $200K ask and wrote them a $10M check instead:
"So there were six PhD students, and Ion Stoica, who was their professor."
"What they had was this thing called Spark, and the competitor was something called Hadoop. Hadoop had very well-funded companies already running towards it, and Spark was open-source. So the clock was ticking. I think they didn't quite know what they had."
"Professors in general, it's a pretty big win if you start a company and you make $50 million. You're a hero on campus... So I'm always a little nervous about a company that comes out of academia thinking too small."
"So I said 'I'm not gonna write you a check for $200,000. I'll write you a check for $10 million.'"
"You need to build a company. You need to really go for it if you're gonna do this, otherwise you guys should stay in school."
Ben Horowitz w/ @lennysan on Lenny's Podcast (2025)
vig sachidananda retweeted
Moderna just showed what mRNA can do beyond vaccines: its individualized cancer therapy, with Keytruda, succeeded in Ph3.
When LLMs began rapidly progressing 3y ago, we made a bet that AI models can outperform human-led design to create better mRNAs. 🧵1/4
Replying to @EricTopol
Despite its obvious misuse during Covid, mRNA has tremendous promise for curing diseases.
Artificial RNA essentially makes curing diseases a software problem.
vig sachidananda retweeted
The mRNA vaccine success vs melanoma in a Phase definitive 3 randomized trial today is on top of signs of success for personalized mRNA neoantigen vaccines vs pancreatic cancer, triple negative breast cancer, and non-small cell lung cancer wsj.com/health/pharma/modern…
vig sachidananda retweeted
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: huggingface.co/moonshotai/Ki…
Tech report: github.com/MoonshotAI/Kimi-K…
Tech blog: kimi.com/blog/kimi-k3
vig sachidananda retweeted
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
images.nvidia.com/pdf/Open-W…
Replying to @yacineMTB
I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon.
And I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.
Tesla open sourced its patents and we made the Supercharger network available to all competitors, even though we could have made it a walled garden.
SpaceX launches competing satellite systems with no increase in price or use of unfair terms.
Even my worst enemies can attack me on this platform.
…



























