building https://nitter.gq/t.co/oAyXZB0uyY & https://nitter.gq/t.co/ITXekg1EKE • 3.5mn+ users • foundational judge (ai) @thewebbyawards • mentor @brincvc https://nitter.gq/t.co/7zqGiIBqCT
Joined May 2020
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Ananay Batra retweeted
Announcing a major milestone achieved by my team @GoogleDeepMind: we have proven key security properties of the machine code underlying the Signal messaging protocol. This is the first time the actual production code of a widely deployed protocol has been formally verified – by any method, with or without AI – and at this depth.
More than a research breakthrough, it’s a prime example of how frontier AI can be a force multiplier to counter the speed and scale of modern cyber threats.
Formal verification offers a higher standard of security; however, it’s extremely complex and time consuming, which is why in many cases it’s considered to be impractical. Similar efforts could take teams decades of combined effort. We did it in a month’s time.
Using AlphaProof Code, Google DeepMind's new agentic framework for formal verification that runs on LLMs including Gemini Carbon, we verified the Signal protocol down to the actual code running on devices. This milestone lays the groundwork for a future in which vital systems, from medical device firmware to power grid software, ship with mathematical proof that their protections work.
Reaching that future will take continued research from our community. In that spirit, we're open-sourcing our formal specifications and verification artifacts so others can build on this work.
On a personal note, this moment is of deep significance to me. I started my own research journey more than two decades ago as an intern working on checking the consistency of complex software systems. Seeing this grand challenge made practical with modern AI is extraordinary.
I'm extremely proud of my team members: Swarat Chaudhuri, Andrew Ferraiuolo, Anton Kovsharov, Tej Chajed, Sam Schlesinger, Karn Seth, Jonathan Katz, and Charles Sutton for taking on this grand challenge and delivering, and grateful to the Signal team for their partnership.
deepmind.google/blog/formal-…
Ananay Batra retweeted
Insurance is the single most important market on planet Earth, yet it still runs on manual work. Today ancep is coming out of stealth with an $8.5m pre-seed round to change that. Our AI agents are being used daily by the largest global brokers to help them place more risk.
Ananay Batra retweeted
Law firms say they’re built to serve clients. In truth, they're built to serve their partners.
Blackletter raised $6M to put clients first. Led by @LererHippeau with the CEOs of @cohere, @twelvelabs and @adaption_ai.
75+ clients, from day-to-day work to @WindBorneWx's $37M Series B.
Ananay Batra retweeted
Here’s my prediction: Rich, diverse interfaces aren’t going away. And in the future, you’ll interact with brands more, not less.
This isn’t really about Airbnb. It’s about something much bigger.
You’re describing an experience built on computing platforms that have fundamentally remained unchanged for 19 years on the phone and 42 years on the computer.
Now, I do believe we’ll have a central agent, but it will operate at a much lower substrate than the app level. It will coordinate with many other agents, most of which you’ll also interact with directly.
We’re living in a temporary state of computing purgatory. But it won’t last forever.
Ananay Batra retweeted
It's so weird that people don't understand that marketplaces just don't aggregate "demand" from users, they resolve disputes when something goes south and that's why they're valuable as an arbiter.
marketplaces will collapse
first - marketplaces that are just aggregators like airbnb in the next 365 days
second - then marketplaces with some ops like delivery, stores like amazon, zomato in the next 1000 days
from first principles, marketplaces aggregated demand for their users, but if an agent like muse, @iradotso or @instinct can do the same without charging you 17% , why would that survive?
@amazon @Airbnb and likes are on a downward slope and it's a steep slope
this will age like milk
marketplaces will collapse
first - marketplaces that are just aggregators like airbnb in the next 365 days
second - then marketplaces with some ops like delivery, stores like amazon, zomato in the next 1000 days
from first principles, marketplaces aggregated demand for their users, but if an agent like muse, @iradotso or @instinct can do the same without charging you 17% , why would that survive?
@amazon @Airbnb and likes are on a downward slope and it's a steep slope
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Ananay Batra retweeted
Introducing Claude Fable 5.2 and Claude Mythos 5.2, designed to tackle the most daunting technical challenges.
They’re capable collaborators on ambitious projects in many fields, and show improvements in areas like coding, reasoning, and vision.
Ananay Batra retweeted
In 1950, a newly independent India was running low on food. India requested the US for help.
It wasn't provided immediately. After much debate in the US congress on why they should help India, Truman signed the India food relief act to provide India with $190 million of assistance to help it buy US wheat.
But that US wheat came with a weed. The weed known as Parthenium or also called "Congress grass." This weed destroyed any plant around it. Till today, India has not been able to get rid of this weed.
Some 35 million hectares of arable Indian farmland has been laid waste by this weed. Including, and as far as, Andaman & Nicobar Islands.
This weed is one of the biggest causes of losses for Indian agriculture and productivity. American experts still say it came into India "accidentally."
Ananay Batra retweeted
I know this is a predictable opinion from me but I don't agree with the strong emotional reaction against the anti-data-center movements that I've seen this week.
As I see it, algorithmic progress means that whatever you would be able to do with more and bigger data centers in 2 years, you will be able to do with the data centers we have today in 4 years - probably sooner. So nothing remotely apocalyptically bad will happen from even extreme levels of success by anti-data-center people.
Meanwhile we need all the time we can get to better harden the world against both already-visible cybersecurity issues and any bio and other risks soon to come. Science applications are bottlenecked by many things other than AI, so slowing AI down by one year will slow those down by much less than one year.
Given this, a slowdown in compute hyper-scaling seems quite net good? Notice this is without any controversial "doomer arguments", RSI etc. Even if net-bad, it's certainly not worse than like 10+ other political things.
