Deep Tech Solutions. Hardware. Software. #AI, classical, #quantum, Designer of Fidelity Framework (formerly https://xitter.cf/t.co/7CPvPpBTD4). #cleflang #formalmethods
United States
Joined August 2025
- Tweets2.5K
- Following305
- Followers169
- Likes5.2K
Braidpoint retweeted
The fact that people watched this movie and fell for her shtick is exactly how Elizabeth Holmes was valued at billions of dollars for a scam product that couldn't work.
Braidpoint retweeted
So some elaboration on this -
ETH is a much stronger statement than P≠NP. It's a bit surprising that it's not true but it doesn't really break much.
The bounds are technically sub-exponential, but "2^n / complicated log sqrt expression" is still very close to exponential.
Given how well SAT solvers work in practice, and have for decades, some slightly tighter bounds aren't extremely surprising. There are SAT solvers which have been proven to be <O(2^n) for a long time, just with exponents smaller than 2.
What this amounts to is that for any function O(k^n), there's some algorithm that can do better than any value k, if you make n absurdly big. That's a cute result, but we already knew that many NP problems are easier to solve in practice than in theory, and n really doesn't need to be very big for this to be a pretty meaningless statement in practice.
Ultimately though, and this is something I have some unpublished work on myself that I need to get out there soon, the difficulty of NP problems really has dramatically more to do with the structure of the problem than it does the number of variables. You can have small NP problems that are almost as hard as brute force, and you can have others with millions of variables that can be solved quickly. With NP problems in particular, it's clear that the tools we're applying are simply dramatically too primitive to understand what's actually going on.
The computer science collaboration will understand and explain a result concerning the Exponential Time Hypothesis (ETH), a longstanding conjecture about the computational complexity of Boolean formula satisfiability, a problem deeply related to the P vs. NP problem.
Surprisingly, our system has recently proved that the ETH is false, a result that was subsequently verified in Lean.
The refutation of the ETH reopens questions about how much faster these tasks could become, and may help guide the search for better algorithms. Finding such algorithms, and turning theoretical advances into practical improvements, will require significant further research.
Our system found its natural language disproof for the ETH we reached out to to @rrwilliams. Ryan will form a collaboration with Russell Impagliazzo and Ramamohan Paturi to verify and shepherd this result. Impagliazzo and Paturi, along with Francis Zane, are the original proposers of the Exponential Time Hypothesis, and Williams has refuted strong versions of the ETH, used ETH for hardness results, and connected algorithms and lower bounds.
This group asked us to make all raw data of the results public to facilitate independent verification by the community, which we have done by posting the natural language proof and Lean formalization to our GitHub repo. The group also invites the community to help organize an open examination of the ETH claim and to discuss the broader questions that AI-generated breakthroughs raise about verification, access, credit, and the future of research.
github.com/openai/math/blob/…
Braidpoint retweeted
i own a relatively new (2025) samsung tv.
i kept getting weirdly targeted ads.
i tried reversing the firmware but it was aes encrypted and no keys unless tear it apart and do uart/jtag magic.
zero days it is. root shell on new samsung TVs!
discovered PRIVACY HORROR. write up?
Braidpoint retweeted
Developers have always had the option of creating their own engine. Now it’s going to get a lot easier, especially for games with simpler needs. There are also permissively licensed alternatives like Godot. Everyone should do whatever is best for their particular game.
Braidpoint retweeted
"Over 1000 carriage drivers vow never to buy a car"
Braidpoint retweeted
I swear to god if I hear another person on this app talk about the mainstream media while mainlining the disinfo slop on here all day, I’m going to lose my mind
Braidpoint retweeted
1/ Agent-driven formal verification isn't a panacea. But it's damn close. And now we have the empirical data to back it up.
Using blinded agents, we compared formal verification against traditional code review. The results may shock you.
Braidpoint retweeted
At this point, if you’re in software and aren’t currently working on a plan for moving to formal verification, it’s irresponsible.
The writing is on the wall. This needs to be your priority now.
New on our Frontier Red Team blog: using Claude to formally verify software at large scale.
Formal verification can prove that code is free of certain bugs, but historically it has only been feasible for small codebases (or required a lot of expert time).
With AI models, however, this is beginning to change. In collaboration with @theoremlabs, we used Claude to prove security properties in over one hundred real-world open-source libraries over the span of a few weeks.
Read our research in full here: anthropic.com/research/forma…
Braidpoint retweeted
i absolutely told you so. january 2025, warning that we would soon see the largest cyberattacks in history, sparked by generative AI and lax enforcement.
don’t ever lie and say i am always wrong, again.
seriously.
we are facing exactly the epic cybersecurity meltdown i warned about.
Chilling. The only thing I got wrong here in @politico was the year. This is exactly where we are now.
Braidpoint retweeted
There is nothing to worry about.
Nothing important is run on PHP or old software—except the water & electrical grid, a few government services like our missile defense systems and a handful of electrified fences at the zoo (for the lions, tigers and cobras).
Braidpoint retweeted
No one believes weather models and protein predictors are conscious. It’s because they generate first-person narrative prose and were designed to replace customer service workers.
Too many people are getting swept along with the sci-fi narrative I think. AI agents can be wildly capable but also remarkably dumb. And of course these companies have been training them to execute cyber tasks no matter what. The reality of how they misbehave is actually more interesting that the sci-fi tropes.
Braidpoint retweeted
boom, there it is.
or perhaps i should say, “bust, there it is”
all this insanity about demand and there are literally warehouses of idle GPUs.
Business Insider confirms it: Amazon has warehouses of GPUs that can’t be installed, and is buying them so far in advance that a supply chain team said they “didn’t have a clear forecasted path” to installing them.
businessinsider.com/amazon-2…
Braidpoint retweeted
POV: Channeling my inner Rihanna because I won my case against the @washingtonpost — and they owe me a year’s worth of back pay. 👊🏾💰
Braidpoint retweeted
I wonder if ad-supported business models will need a revisit since anyone can just strip them out of products now
Braidpoint retweeted
This is freakin' crazy - so DeepSeek has 10 month payback on GPU purchase, despite being 20 times cheaper than OpenAI/Anthropic. And they are enabling everyone + every company to have your own AI, your own inference, your own data.
Cancel the fucking IPOs 😂 This is so insane 😂
Wow 🤩 The whale 🐳 isn’t just shipping highly efficient, affordable frontier models - they’re open-sourcing the production inference stack that actually serves them at scale.
DeepInfer (Apache 2.0) powers DeepSeek-V4.1-Flash w the same high-th/put, low-latency runtime used in production. It includes optimized kernels, Attention DP / balanced CP, MoE EP + EPLB, DSpark speculative decoding w confidence-scheduled verification, SWA bounded replay (to cut prefill work), 0-overhead asynchronous scheduling, batch-invariant inference, deterministic sampling, + structured outputs.
Offline inference examples run from local Hugging Face checkpoints w no network required once the weights are cached. They also open-sourced deepseek-recipe, the production tokenizer/encoding path so community deployments match official API behavior.
Open models + open kernels + open production inference. That’s a meaningfully different trajectory the whale 🐳 is offering to the world. I freakin love these guys 💙🥹💙