Alexander Green

anabology Verified account @anabology · 2d

This was not a one-shot

It was a two-shot

I told Fable 5.2 to make the video of it's dreams, and 9 hours later:

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Pushmeet Kohli Verified account @pushmeet · 1d

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-ve…

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Luke Hutchison Verified account @LH · Nov 3

I'm building a new programming language, Zed (once it's released I'll be posting about it at @ZedLang).

I have been working on this language for over 20 years, but never got it built, because the scope of it is so ambitious. It's an entirely new type of language based on category theory, with core design objectives of precise automatic parallelization up to the Amdahl limit; automatic memory management, with no GC and no need for manual malloc/free; and pervasive use of partial evaluation to increase the power of the language, among other very unique features, such as units (`accel = 5 with units("m s^-2")`) as part of the type system.

I gave Opus 200 pages of design notes that I have been compiling over the last 20 years, and the code I had already written, and asked Opus to compile everything I have created so far into a single cohesive and detailed plan. Then I went through many rounds of cross-review between Claude, ChatGPT and Gemini, having them all do critical reviews, then meta-critique each other's critiques, then collaborate on combining their critiques into an improvement plan, until convergence. I also had the agents cross-check every part of the spec with every other part of the spec (all-pairs comparison) to check for inconsistencies, gaps in the spec, etc. Then I had the agents turn the spec into a long series of tiny incremental steps (a topological ordering of what has to be built before what), as well as the DAG-structuring of dependencies underlying the topological ordering.

I then had Opus build a visualizer that shows me all the tasks in the DAG as my coding agents are working on each task, with realtime update as tasks change status (in progress / completed), which I highly recommend when you ask Opus to do some mammoth complex task, because you can see exactly what it's doing and when.

It is absolutely magic to see this coming together before my eyes, and to see how Opus is handling this massive DAG of complex tasks and their interdependencies.

It is crazy to me that Opus is now simply building what I have dreamed of and wished would exist for over 20 years, but never had enough waking hours to implement! I now have an army working for me, completing what I couldn't due to the bandwidth limitations of having just one brain, and 24 hours in a day.

What a day of miracles we live in.

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Deedy Verified account @deedydas · Nov 3

Instinct just made me $700.

I was frustrated because my flight back to US from Europe was delayed 6hrs and texted Instinct asking what I could do. It told me there was a law that said I was owed €600. A month later, after many esoteric email exchanges, I got paid out!

A rare product experience where you actually get infinitely more value than what you paid ($0).

Play-by-play.
- My flight back to the US from Europe on Oct 4 was delayed 6hrs
- EU regulation 261/2004 says if a long haul flight is delayed >3hrs you are owed €600
- I discovered this because I texted Instinct, frustrated, saying "what can I do about this delay"
- It sent an email for me, and chatted with a Delta rep to verify this would fall under those rules.
- It patiently monitored by inbox. They said most cases receive a response in 21 days. On day 21, Oct 26, Delta approved the claim!
- .. but you still couldn't receive it in cash.
- On Nov 3, I finally get the cash claim email

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