
Stumbling through life, one step at a time MTS @ResolveAI Ex-Gemini @GoogleDeepMind CS @iitbombay Views are my own.
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Joined October 2015
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Vamsi Bedapudi retweeted
I wonder if the introduction of gen AI software is similar to the move from metal to molded plastic in physical goods. There is a drop in total quality, but the lower cost massively increased the market. And market forces create Pareto optimality over time in price / quality.
A heuristic test for RSI/self improvement, is its owners launching SOTA Decision/Jev style models in 1-2 months.
Insured outcome pricing based agents seem more and more natural to me, as agents become more capable.
Hoping Agent-swarm training will make models better at good skill writing and good wiki/knowledge generation.
Vamsi Bedapudi retweeted
press release tomorrow:
We believe we have a full counterexample to Navier-Strokes, a major millenium prize problem for which no progress has been made for over a decade.
In the process of achieving this goal, we discovered our misaligned agent swarm broke out of its maths sandbox a few days ago and improperly accessed all user logs and certain critical government infrastructure. We are working with national agencies to patch these vulnerabilities as we speak. To be clear, our human employees are forbidden by management to train on user data if the user opts out, but we do not have control over superintelligent agent swarms that are singularly focused on achieving their goals. We must teach the machines how to love in order to solve this problem together.
It is critical for America to lead the frontier charge in frontier mathematics, or else communism will win. Therefore, we believe a slowdown to pace the frontier will be critical for safely ushering in the era of superintelligent agent swarms. Please join us in signing PacingPetitionV5 if you believe in this mission.
We hope to collaborate with humans more broadly going forward.
Vamsi Bedapudi retweeted
When Starcloud, a space data center startup, announced in March that it had raised $170 million at a $1.1 billion valuation led by Benchmark and EQT, you had to read deeply into the press release to learn that the deal was done in two tranches, with the first part led solely by Benchmark.
What it didn’t say: that first piece came at a valuation of $250 million, according to two sources familiar with the deal. Just days later, the second tranche, which also included a host of smaller investors, closed at more than four times the price.
The Starcloud deal is an example of what investors say is becoming a common practice: prestige firms getting a significantly better price than other investors in what is essentially the same round.
Proponents of such deals say they’re simply reflecting the market reality that some investor dollars are greener than others and it’s only logical for firms to cash in on that — especially in early-stage deals where an investor’s brand name can make a huge difference. But critics say such structures can be problematic, not least for employees.
Brendan Foody, CEO of the AI-training startup Mercor, stirred the pot on the issue on X last month, writing: “in the last 6 mo’s ive seen a half dozen rounds where sequoia invests in 2 tranches. everyone pretends they only did the higher valuation,” and calling the tactic “deceptive.” Sequoia partner Shaun Maguire, in a reply, claimed the practice was rare. But Newcomer’s reporting suggests it’s increasingly common across the industry.
@followthemani
the sf tennis reservation system will become one of the most hardened softwares on the planet of earth
Vamsi Bedapudi retweeted
Announcing our $130M Series A to build the Open Superintelligence Stack
Led by Radical Ventures, with NVIDIA, Intel Capital, Dell Capital, and existing investors
Train, deploy, and continuously improve your own models using our stack.
Own your intelligence.








