AlphaToPsi 🌕☀️

🔥🔥Tomorrow Collective member 🔥🔥/ Open minded / Finding the truth / Artificial Intelligence / Here's my Instagram:

[Justin Drake @drakefjustin]

Today a crazy quantum story just got wilder.

On March 31, the Google Quantum AI team published a landmark result on Shor's algorithm for elliptic curve cryptography. Technically, the paper was a bombshell: a dramatic 10x improvement over the state-of-the-art. As a stunt and wakeup call to the blockchain space, those optimisations were illustrated on secp256k1, the elliptic curve underlying Bitcoin and Ethereum signatures.

But perhaps the most striking part of the paper was sociological, not technical. Instead of following standard academic process, the optimisations were kept secret, hidden behind a zero-knowledge (ZK) proof. Google's accompanying blog post mentions they "engaged with the U.S. government". The ZK proof demonstrates the existence of algorithmic improvements without leaking details. Academic censorship with ZK, a historic first!

As a co-author of the Google paper I witnessed some of the context surrounding this censorship. To be honest, multiple aspects of that context don't sit well with me. As much as I believe the general public ought to know more, I am limited in my ability to whistleblow. Though let me be clear about one thing: the Google team's professionalism has been absolutely exemplary, and they deserve nothing but praise.

Censorship has a way of backfiring. The Streisand effect, where an attempt to bury something only draws more attention to it, is exactly what's unfolding today. First, Google's key optimisation has been rediscovered by the French. And in a thrilling turn of events, a collaborative Shor-at-home challenge just launched. The initiative, available at ecdsa[.]fail, breached a new Shor world record in a matter of hours.

Let's start with the rediscovery. Just two months after Google's paper, French quantum expert André Schrottenloher cracks the main secret optimisation. His paper, titled "Optimized Point Addition Circuits for Elliptic Curve Discrete Logarithms", landed on the arXiv today. Big congrats to André, who beat several other nerdsnipped experts to it. In a blog post also published today, Craig Gidney, the world expert on Shor optimisations, revealed that he'd been sitting on this very optimisation for a whole year under censorship pressure.

Interestingly, André missed a handful of minor optimisations, both from Google's original publication and from improvements found since. It's plausible there's still plenty of juice left to squeeze out of Shor, and this is exactly what the ecdsa[.]fail challenge is about. The verifier program developed for the ZK proof does double duty, automatically filtering for valid submissions. Dozens of compounding small and micro improvements are rolling in. As of the time of writing there's an 8.4% improvement to Google's circuit, as measured by the product of logical qubit count and Toffoli gate count. Nice!

The nerdsnipping ran deeper than anyone expected. Over the last few weeks it became clear it extended well beyond André and other quantum experts. Behind the scenes, a small army of amateurs quietly got to work. Inspired by Karpathy-style autoresearch, they turned AI on Shor. Ironically, the verifier program for the ZK proof makes an ideal reward function for AIs. The barrier to entry for this modern style of research is refreshingly low, with several non-experts, even a teenager, finding nice optimisations. Get in touch if you'd like to join a Telegram group with fellow autoresearchers :)

Part 2: neutral atoms and qday

The story doesn't end with Google. On the same day Google went public, a stealthy startup called Oratomic published its own Shor paper in a coordinated release. It made a splash, ultimately becoming the most upvoted paper on scirate[.]com, a website ranking arXiv papers.

Oratomic's claim was wild. By building on Google's logical optimisations and applying custom physical optimisations for neutral atoms, they claimed just 10K physical qubits were sufficient to run Shor's algorithm on secp256k1. That number is mind-bogglingly low.

Knowing essentially nothing about neutral atoms when Oratomic's paper landed, I was intrigued and decided to learn more about the tech. I fell straight down the rabbit hole and spent a couple hundred hours on the topic. I got a little obsessed and watched every YouTube video I could find and spoke to a bunch of experts.

My conclusion? The tech is real, very real. Even Google recently decided to start a neutral atom lab, a notable pivot from their sole focus on superconducting qubits. If you care about qday, i.e. the day a quantum computer will break the first piece of cryptography in production, neutral atoms demand your attention. I shared some of my learnings on Shor and neutral atoms in a 30min talk at the ZKProof cryptography conference. You can find it on YouTube by searching "zkproof neutral atom".

Here's an interesting observation about this duo of breakthrough papers: neither Google nor Oratomic say a word about what their results mean for qday. No timelines. Zero. Nada. That is especially baffling given that the whole point of whitehat quantum cryptanalysis is to inform qday estimations and help the general public make good decisions.

So let me attempt to partially fill the silence, similarly to what Scott Aaronson did in his April 29 post. Given everything I know, including scary non-public information, I now put the odds of qday by 2032 at 50%. 10% by 2030.

Anecdotally, the US government has its own date: 2035. Originating at the NSA and later adopted by NIST, it's when branches of the US government will be disallowed from using quantum-vulnerable cryptography. In plain language: with hindsight, that date is a joke and should be discounted entirely. I don't see how NIST avoids being forced to pull it forward by years.

Part 3: post-quantum cryptography

There are good reasons to sound the alarm today, but please do not panic. Rushing carelessly towards immature post-quantum cryptography is a recipe for disaster. IMO a good target date for migration is 2029, roughly 3.5 years out. 2029 happens to be the date selected by Google, Cloudflare, and the Ethereum Foundation.

These days most of my time goes to safely migrating Ethereum towards post-quantum cryptography as part of the broader lean Ethereum effort. There's a lot to do. We need to rip out and replace BLS signatures at the consensus layer, KZG commitments at the data layer, and ECDSA signatures at the execution layer.

The plan to get there is compelling, and is based on hash-based cryptography. Within the Ethereum Foundation we've developed a Swiss army knife called leanVM (github[.]com/leanEthereum/leanVM) powered by the magic of hash-based SNARKs. Thanks to truly exceptional work by Emile, Thomas, and others, its performance is derisked. Regarding security, leanVM is a jewel, a minimal zkVM crafted for end-to-end formal verification and maximum security.

Want to help? There are two $1M initiatives. First, the Proximity Prize (proximityprize[.]org). Solve a long-standing mathematical conjecture in coding theory, improve hash-based SNARKs, and go home a millionaire. Second, the Poseidon Initiative (poseidon-initiative[.]info), offers $1M for breaking Poseidon, the SNARK-friendly hash function.

[Angina Pectoris @yeoulabba]

다윗의 알고리즘

몬트리올의 삼성 AI 연구소에서 일어난 일이다.
연구자들이 수천억 개의 신경을 가진 거대한 인공지능이 풀지 못하는 스도쿠를 보며 고민에 빠졌다.
이상한 일이었다.
인간의 모든 지식을 담은 거대한 두뇌가 왜 단순한 퍼즐 앞에서 무너지는가.

답은 뜻밖의 곳에 있었다.

아이가 자전거를 배울 때를 생각해보자.
처음엔 넘어진다. 다시 일어나 페달을 밟는다.
또 넘어진다.
하지만 매번 조금씩 나아진다.
균형을 잡는 법을 몸이 기억한다.
이것이 바로 TRM이라 불리는 작은 인공지능이 일하는 방식이다.

7백만 개의 매개변수.
거대 AI의 만분의 일도 안 되는 크기다.
그런데 이 작은 뇌가 6천7백억 개 매개변수를 가진 거인이 손도 대지 못한 문제를 87퍼센트나 풀어냈다.

비결은 단순했다.
한 번에 완벽한 답을 내려 하지 않고, 틀려도 괜찮다고 스스로를 다독이며 여러 번 다시 생각하는 것.

우리는 늘 더 크고 더 많은 것을 원한다.
더 큰 집, 더 많은 지식, 더 강력한 컴퓨터.
하지만 몬트리올의 연구자들은 반대로 걸었다.
복잡한 두 개의 신경망을 하나로 줄였다.
어려운 수학 이론을 걷어냈다. 생물학적 은유를 버렸다.
그리고 놀라운 일이 일어났다. 단순해질수록 더 똑똑해졌다.
마치 선승의 화두 같다.
"무엇이 부처인가?" "마당 앞의 잣나무니라."

진리는 복잡한 곳에 있지 않다.
작은 네트워크가 자기 실수를 인정하고 고쳐나가는 그 소박한 과정 속에, 지능의 본질이 숨어 있었다.
거대한 언어모델이 한 번의 대답으로 완벽을 추구할 때,
작은 TRM은 묵묵히 같은 길을 여러 번 걸으며 조금씩 답에 가까워졌다.

삼성 연구소의 이 발견은 우리에게 묻는다.
정말 필요한 것이 무엇인가. 때로는 작은 것이, 단순한 것이,
반복하는 것이 가장 지혜로운 선택일 수 있다고.

[AlphaToPsi 🌕☀️ @alpha_to_psi]

Nice Prompt.

[Alex Veremeyenko @alex_verem]

R.I.P McKinsey.

You don’t need a $300k consultant anymore.

You can now run full competitive market analysis using Grok 4.

Here are the exact 3 mega-prompts I use to replicate McKinsey-style insights for free:

[AlphaToPsi 🌕☀️ @alpha_to_psi]

Electricity is the core of Manufacturing cost in every field even software.

[Elon Musk @elonmusk]

Remember this chart

[Elon Musk @elonmusk]

Remember this chart

[Elon Musk @elonmusk]

All new XChat is rolling out with encryption, vanishing messages and the ability to send any kind of file. Also, audio/video calling.

This is built on Rust with (Bitcoin style) encryption, whole new architecture.

[AlphaToPsi 🌕☀️ @alpha_to_psi]

@engineers_feed @Grok Is this real?

[AlphaToPsi 🌕☀️ @alpha_to_psi]

@FutureStacked @grok Is this real?

[santi @santtiagom_]

All you need to launch a real product:

1. Auth (signup, login, logout)
2. Database (store user actions)
3. Payments (get paid)
4. Security (protect your data)
5. Frontend (UI/UX)
6. Backend (APIs and logic)
7. Notifications (email, push)
8. Analytics (track usage)

This is the groundwork. Don’t skip it.

[AlphaToPsi 🌕☀️ @alpha_to_psi]

@ItsAustinAI 🫡sent

[AlphaToPsi 🌕☀️ @alpha_to_psi]

@cb_doge @grok what prompt have you used for this?

[AlphaToPsi 🌕☀️ @alpha_to_psi]

@julienamYJ 줄리님 오랜만이에요! 충코님 콜라보 유입으로 유튜브 영상 재밌게 봤던 기억이 있네요. 초기모임 하시면 주로 여성분들 위주일것 같아서 여성분들이 관심있어하는 성숙한 연애와 관련된 토론을 해보면 재밌을 것 같습니다. 항상 건강하시고 행복한 하루 보내시길 바랍니다. :)

[AlphaToPsi 🌕☀️ @alpha_to_psi]

@NikkiJones53550 @grok Is this true?

[Alex Finn @AlexFinn]

I'm sorry but if you're against AI art you're an idiot

You're trying to stop the greatest innovation of our lifetime

In the next 2 years AI is going to eat everything and there is nothing you can do to stop it

Movies, music, video games, every form of media will me mostly made of AI. A tremendous amount of people in those industries will lose their careers

Why?

Because AI is cheaper, better, and faster.

Innovation always wins. It doesn't care who suffers. It doesn't care who loses their jobs. It doesn't care who goes broke.

For every artist it puts out of a job, it'll allow 100 other people to create art they've never been able to create before

I'm building an entire video game right now. This was never possible before

You really have 2 options, try to fight innovation and be left completely behind in modern society or embrace it and reap the rewards of a once in a lifetime transfer of wealth

Up to you. Adapt or die.

[Alex Finn @AlexFinn]

I'd like to introduce you to Creator Buddy, the greatest AI content tool ever made

It's 8 AI tools in one to help you come up with endless bangers, explode your engagement, and grow your network faster than you can imagine

It's going to change the way you use X forever

Over the last 3 years I've grown from 0 to 260,000 followers on X

I did this completely organically. No bots or retweet groups. All through banger content and reply guying

I took every system and strategy I used to get to 260k and 6 figures of revenue on X and put them in this tool

Then I powered it all by AI so it's 10x smarter and easier to use

This isn't your mother's AI either. This is an AI trained on millions of X posts. Trained on what works and what doesn't

This AI will create better content than you've ever seen in your entire life

I'm not kidding. BANGERS only

It's also everything I wanted Grok to be but never was

It's an AI that knows your post history so you can ask it questions like:

• What topics get me the most engagement?
• What hooks get me likes?
• What time of day does my audience engage with me?
• What calls to actions get me clicks?
• I have no idea what to write about. Based on my past successful posts give me a template

It will seriously change the way you create content forever.

No more writer's block. No more flopped posts. No more posting into the void.

And that's not even 10% of the functionality:

• It also has an AI trained on the entire X algorithm so you know if your post will be algo friendly BEFORE you post

• A reply guy tool that will help you be the LOUDEST reply guy on X

• An AI account researching tool that is basically your own spy on X

• A chrome extension that allows you to save posts directly from X and repurpose into your own voice with AI

• A brain dumping tool that allows you to take whatever is on your mind and INSTANTLY turn it into content

This is my life's work. I truly believe this will take your X game to the next level

If you're taking X seriously, you HAVE to get Creator Buddy

I truly believe moving forward there will be 2 groups of people on X: those with Creator Buddy and those without. Trust me, you want to be in the group with it

I've worked endlessly the last 7 months on building this by myself. No help whatsoever

Every line of code, every video, EVERYTHING was done by me. 0 help. I sacrificed everything for this tool

Hit the link below and start working with your own personalized AI content coach now!

And if I've ever provided you even a tiny bit of value over the last 3 years, all I ask for is a simple like and RT on this post!

With love,
Alex

(link to Creator Buddy on next post!!!)

[AlphaToPsi 🌕☀️ @alpha_to_psi]

@cb_doge @grok @grok is this true?

[Min Choi @minchoi]

Yarn cat is the AI creation we never knew we needed

[EDDIE CHENG @ecomEddie]

I'm 33.

When I was young, I wasted years drinking, smoking, and being a degenerate.

Then I discovered Steven Bartlett, and he changed my life forever.

7 lessons from Britain's youngest self-made millionaire ($2 million worth of advice in 2 minutes):

[Dan @danmurrays]

How Elon Musk learns faster than everyone you know:

[AlphaToPsi 🌕☀️ @alpha_to_psi]

3
In country aspect, FED allows to QE for buying products & goods from abroad.
These dollars make illusion to the other countries having lots of dollars as asset. 💰
But the assets(mostly bonds) has risk. it can be melted from the interest rates hike.

[AlphaToPsi 🌕☀️ @alpha_to_psi]

Great content. This is my view below comments.

Consequently, preparing how to deal with the infinite bubble growing is the key to hedge the risk.

[Raoul Pal @RaoulGMI]

I wrote the most important GMI in its 18-year history a few weeks ago, The Everything Code. I'm clearly not going to give it away on Twitter but this might make you think... it is a very small excerpt of a 140-page report.