Andrei Oros @orosandrei

This is the true shape of our planet, known as GEOID.

It's simple: Ship your app between Aug 1 - Sept 30. Compete for $1M+ in prizes. Win eternal fame and glory. (We can't promise the last one, but it's a likely outcome if you win) GET SHIPPING!

I often hear that Russia crossed the red line when it annexed Crimea in 2014 and should have been stopped then. I disagree. The red line was crossed in 2008, when Angela Merkel helped block Georgia and Ukraine from receiving a NATO Membership Action Plan under pressure from Russia. A few months later, Russia invaded Georgia. That was the moment the Kremlin learned that military aggression against its neighbours would not be met with a decisive response. Everything that followed became more likely. I believe Merkel’s Russia policy was one of the most damaging strategic failures of modern Europe. History will judge it accordingly.

Jevons Paradox is about to hit AI harder than almost any industry we have seen before. People once thought faster internet would simply let us load the same websites more quickly. That was not even close to what happened. Faster connections created video streaming, cloud software, online gaming, video calls, social media, and entire businesses that could not exist on slow internet. Every increase in speed created new reasons to use more bandwidth. AI will work the same way. Today, we mostly use models for chat, coding, search, writing, and a few business workflows. But once intelligence becomes cheap enough, fast enough, and reliable enough, it will be built into every process that involves a decision. The biggest AI workloads probably do not exist yet. They are waiting for the cost of intelligence to fall. It will create millions of new tasks that are currently too slow, too expensive, or simply impossible.

Gavin Baker @GavinSBaker

5 days ago

The mega bull case for AI infrastructure would be *if* market share shifted away from certain frontier labs with 90%+ inference margins toward cheaper models, whether open-source or closed. It would increase the ROI on AI spend for end customers by increasing intelligence per

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The rise and fall of wokeness: DEI commitments in corporate securities disclosures filed with the SEC. To me this seems a trailing indicator; most other measures of wokeness take off well before 2019 and peak in 2020 or 2021. But the shape! That's what a moral fashion looks like.

Grok 4.5 is built for real-world engineering. It excels in large codebases and handles long-running tasks that span multiple repositories, hundreds of skills, and a variety of tools.

We're opening the waitlist for our Monetization Gateway, which will allow you to charge for any web page, dataset, API, or MCP tool behind Cloudflare. The charges will settle in stablecoins over the x402 open protocol. cfl.re/4eUFdt6

“Fui marxista, sí. Pero esa teoría nunca fue puesta realmente a prueba. El test es muy simple: si los ricos mantienen pobres a los pobres, entonces los países con más multimillonarios deberían tener también más pobreza. Sin embargo, al comparar los datos, Estados Unidos tiene más multimillonarios que África y Oriente Medio juntos, y aun así el nivel de vida de los pobres en Estados Unidos es más alto que el de la población de esas regiones. Por ese simple criterio, la teoría no se sostiene.” — Thomas Sowell

Elon Musk: “Anyone who wants to make more than they take has my respect” Elon is asked for his advice for entrepreneurs, to which he responds: “I’m a big fan of anyone who wants to build. Anyone who wants to make more than they take has my respect. That’s the main thing you should aim for: to make more than you take and be a net contributor to society.” He compares it to the pursuit of happiness: “If you want to create something valuable financially, you don’t pursue that. It’s best to pursue providing useful products and services. If you do that, money will come as a natural consequence of that rather than pursuing money directly. You can’t pursue happiness directly. You pursue things that lead to happiness — fulfilling work, study, friends, loved ones.” Elon continues: “It sounds very obvious, but generally if somebody is trying to make a company work, they should expect to grind super hard and accept that there’s a meaningful chance of failure. Then just focus on having the output be worth more than the input. Are you a value creator? That’s what really matters: making more than you take.” Source: @nikhilkamathcio (Nov 2025)

Ornith-1.0-9B is easily deployable on edge devices, achieves best-in-class performance among models of similar size (43.1 for Terminal-Bench 2.1 and 69.4 for SWE Verified ), and matches or exceeds the performance of much larger models, including Gemma 4-31B and Qwen 3.6-35B. Huggingface: huggingface.co/deepreinforce-…

GLM 5.2 on Ollama's cloud just doubled GPU capacity to handle the volume of usage! This is all US based, and running on NVIDIA B300 Blackwell GPUs. We believe privacy matters! Let's go open models! ❤️

A few years ago, nobody would have believed it. But this is Moscow today.

Introducing the Open Knowledge Format (OKF), an open specification that formalizes the LLM-wiki pattern into a portable, interoperable format. AI is only as smart as the context we give it. As we build more advanced, agentic AI systems, they need accurate metadata and context to be useful. But in most organizations, that context is locked inside fragmented data catalogs, isolated wikis, scattered code comments, or the minds of senior engineers. Every time a new AI agent is built, teams are forced to solve the exact same context-assembly problem from scratch. To solve this, we've announced OKF, a vendor-neutral, open specification that formalizes the "LLM-wiki pattern" into a portable, interoperable format. It provides a standardized way to represent the enterprise knowledge that modern AI systems rely on. — Just markdown: readable in any editor, renderable on GitHub, indexable by any search tool — Just files: shippable as a tarball, hostable in any git repo, mountable on any filesystem — Just YAML frontmatter: for the small set of structured fields that need to be queryable: type, title, description, resource, tags, and timestamp We’ve also shipped reference implementations to help you hit the ground running, including an enrichment agent for BigQuery, a static HTML visualizer, and live sample bundles on @github → goo.gle/4uGvAEe ➕ Knowledge Catalog can now natively ingest OKF! Stop reinventing data models and building bespoke integrations for every new AI tool. Here's more about how OKF works → goo.gle/4uGvBbg

"... the political left has long had a remarkable lack of interest in how wealth is created. As far as they are concerned, wealth exists somehow and the only interesting question is how to redistribute it." — Thomas Sowell

Today, the European Union took a major step forward. All Member States agreed to open the first accession negotiations cluster with Ukraine and Moldova. At the first Intergovernmental Conference on Monday, we will open the cluster on fundamentals; the backbone of the accession process. It covers the core values and principles on which the EU is built, from the rule of law to strong democratic institutions. This is a recognition of the determination, courage and hard work shown by both countries in advancing reforms, even in the face of immense challenges. And a signal that the EU’s offer of peace, stability and opportunity is unmatchable. Enlargement is a strategic choice. By bringing our nations closer together, we strengthen peace, security and prosperity across our continent. In a world marked by growing uncertainty, a larger European Union is in our common interest. Enlargement remains one of the EU’s greatest success stories and our best investment in our shared future.

A new CRISPR-based approach can selectively destroy cancer cells, according to a recent UC Berkeley-coauthored study. The technique opens a new frontier for treating the mutations found in nearly half of all cancers—including some of the most difficult types. bit.ly/4e2x5aQ

Chat-first work tools are not the answer. The flaws are baked into the system, you can't undo them. It would be like asking a kangaroo to fly. It can get off the ground, and look like flight for a moment, but it comes crashing right down. Here's why: 37signals.com/group-chat-pro…

GREG ISENBERG @gregisenberg

a month ago

I wish Slack was: - Agent-first - Beautiful to use - Integrated with agents natively so your Hermes or OpenClaw lives inside it - Huddles worked seamlessly and were fun - Built for teams of 1-3, not just teams of 300 - Truly a second brain similar to Obsidian - Searchable

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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.

You can’t outwork the whole world. There’s always going to be someone somewhere willing to work as hard as you. Someone just as hungry. Or hungrier. Assuming you can work harder and longer than someone else is giving yourself too much credit for your effort and not enough for theirs. Putting in 1,001 hours to someone else’s 1,000 isn’t going to tip the scale in your favor. What’s worse is when management holds up certain people as having a great “work ethic” because they’re always around, always available, always working. That’s a terrible example of a work ethic and a great example of someone who’s overworked. A great work ethic isn’t about working whenever you’re called upon. It’s about doing what you say you’re going to do, putting in a fair day’s work, respecting the work, respecting the customer, respecting coworkers, not wasting time, not creating unnecessary work for other people, and not being a bottleneck. Work ethic is about being a fundamentally good person that others can count on and enjoy working with. So how do people get ahead if it’s not about outworking everyone else? People make it because they’re talented, they’re lucky, they’re in the right place at the right time, they know how to work with other people, they know how to sell an idea, they know what moves people, they can tell a story, they know which details matter and which don’t, they can see the big and small pictures in every situation, and they know how to do something with an opportunity. And for so many other reasons. So get the outwork myth out of your head. Stop equating work ethic with excessive work hours. Neither is going to get you ahead or help you find calm. [The Outwork Myth — It Doesn't Have To Be Crazy At Work, 2018]