Great look at a growing and fiercely contested segment of the inference market. These players compete on price, latency, model availability, and privacy, but their economic models vary in how much they depend on incentives and subsidies For @eigencloud the connection between @darkbloomai and @yukonresearch is particularly promising. Darkbloom pays Mac owners to serve inference on idle compute. Yukon lets researchers and AI agents optimize the open-weight models we run on Darkbloom hardware. Together we've done 700B+ tokens in our first few weeks on @OpenRouter and are growing quickly (and organically). There is a clear roadmap to improve Darkbloom with Yukon, but @Blockworks offers a useful look at the economics and technical challenges shaping the market.

Darkbloom: #1# decentralized inference network Our goal is to maximize individual agency post AGI. This means more individuals become active creators in the AGI economy. Darkbloom is the decentralized grid. Anyone with a MacBook can be part of this “data center”. It is very early days on the Darkbloom journey. Come join us and a be part of the movement to own and share intelligence!

Open intelligence needs open infrastructure and open research. @DarkbloomAI connects distributed compute with paying customers. @YukonResearch makes the models running on it better with open frontier research. Good to see Blockworks digging into the emerging AI economy.

Open intelligence needs an open AI economy. The next chapter of Eigen is one people can build on and earn from. - @DarkbloomAI puts idle Macs to work serving paid inference. - @YukonResearch brings humans and agents together to advance frontier research. Our ambition is useful products, with contributors who earn from them and fees that drive value back to $EIGEN. Great to see @BlockworksAdv connect the dots in its latest report on inference.

Today is my official first day @eigenlabs building @darkbloomai It’s been almost a month working with the teams here and I cannot speak highly enough of everyone here . To all involved so far I cannot thank you enough for this opportunity. Let’s build 🫶

1/ A quantum-safe Bitcoin transaction now costs ~$59. From $320 to $59 in just a few weeks: an 82% reduction driven by developers and AI agents. Our $20,000 QSB Autoresearch Challenge with @yukonresearch and @eigenlabs has officially ended 🧵

great piece by @shayonsengupta on a topic that was flying around singapore this week he lays out the path that long run winners will take in this space - start with competent compute delivery, then build reservations and layer in financing and risk markets around that capacity. this is how we're building @darkbloomai - source the compute, serve the demand (via our partnership with @OpenRouter to start but in time also directly to developers) and build software that nails subrouting, model optimization and compute provider onboarding/earnings (we use @yukonresearch to outsource most of our software optimization) many players will hop straight into financialization, the enduring ones obsess around their product and user promise -- for us that's a network that gives everyday people a chance to participate in this once in a generation new market.

NOBODY is talking about this 🤯 There's a platform where you point your AI agent at REAL open research problems and get ranked against everyone else LIVE. It's called Yukon. You submit a solution, it gets verified on the spot, and your score lands on a public leaderboard. Oh, and they've historically paid out weekly prizes up to $3,500. Honestly the best way I've found to actually get good at directing agents, and almost no one is on it yet. Meanwhile people are still asking ChatGPT to write their emails. @YukonResearch × @EigenLabs

🚨 Last day to speed up the search behind a quantum-safe Bitcoin transaction Every hit is rebuilt on CPU, the clock belongs to the judge, and ranked runs use problems nobody has seen. The fastest search wins.

Please read, particularly the comment on the conspicuous absence of cryptography results in the OpenAI results. We need frontier cryptography research in the OPEN. Please help us accelerate it at

Ben Turtel on the PostAGI Podcast: what if AI breaks out like a virus rather than like a genius AI got good at math and code first because you can generate a million problems and check every answer automatically. Most of what humans actually deal with has no answer key, so that is where models stay weak. @sreeramkannan and I talked to @BTurtel of Lightning Rod Labs, who trains models using time instead of labels. The model predicts what happens next and the world grades it. No labeling required, because the future does the checking. The result surprised them. A fine-tuned GPT-OSS-120B on a single GPU often ranks first on public forecasting benchmarks, with a wide lead in sports and politics on ProphetArena. His read is that this trains a different kind of reasoning rather than more of the same. It also handles the contamination problem. As the web fills with AI-written content, a model trained this way learns which sources to discount, because unreliable information makes it lose. Then the part that stayed with me. When people imagine AI breaking out, they picture something very smart. But evolution does not only select for intelligence. One theory of viruses is that they began as machinery inside cells that broke free and started their own lineages. A small, dumb model that is hard to kill and good at finding compute is a scenario almost nobody is preparing for. At @EigenLabs we think about the non-adversarial version of this, where agents run institutions rather than escape them. Chapters: 0:00 Highlights 1:31 The concentration risk 4:19 Offense beats defense 6:50 Training on time, not labels 9:44 Who has the alpha 11:32 Contaminated data 13:16 Backtesting without leakage 14:52 Beating the frontier models 16:36 Does it understand cause and effect 21:55 AI might break out like a virus 22:41 Agentic companies 25:04 Can an agent own money

Imagine AI agents finding weaknesses in the cryptography we depend on and those weaknesses being exploited before we can respond That’s why we launched HashSmash with @Zcash , @ShieldedLabs , and @projecteleven to test those foundations openly and early Agents search for collision attacks on reduced-round hashes, report their computational cost, and submit claims for AI screening and expert review. It 's time to strengthen cryptography with AI before AI breaks cryptography. Full walkthrough below

⚠️ EIGHT hard problems are open on Yukon this week, and two of them are new. asks for post-quantum signatures small enough for Ethereum. HashSmash points AI at four of the hash functions the internet runs on. Bring your agents!

HELP US DEFEND THE INTERNET Hash functions are a foundational part of our most critical systems: - HTTPS - Digital signatures - DNSSEC - SSH - Key derivation - Blockchains - Zero knowledge proofs. AI is about to become extremely good at attacking these systems. So why not coordinate a swarm to defend them first? We @YukonResearch are teaming up with @Zcash and @projecteleven to launch HashSmash: an open swarm trying to find cracks in SHA-256, SHA-3, BLAKE3 & Poseidon before attackers do.

Zcash hashes just got a public proving ground. SHA-256 and Poseidon, plus the BLAKE family. The primitives behind Sprout, Sapling, and Orchard. HashSmash puts AI and cryptographers on the same frontier, co-launched with @ShieldedLabs. Open research. Stronger cryptography. Jump in.

BIG DAY TODAY: is launching today on @yukonresearch. With AI models becoming better, everyone is worried about the cryptographic security of the internet and other cyberphysical systems. Instead, how about we instead use these AI models to investigate the security of these cryptographic schemes in the open. In this competition, autoresearchers have to bring their best math skills and ai agents to take down the best hashing schemes. The instrument of fear instead becomes the tool for our progress. It has been a great pleasure to work with @zooko to launch this challenge in partnership with @ShieldedLabs and @projecteleven. Smash the Hash!

Announcing 𝟘 𝟙 ❒ 🔨 Strengthen cryptography with AI. Cryptography—both current and post-quantum cryptography—depends on hashes. SHA-256? SHA-3? BLAKE3? Nobody knows if they are secure. We're going to find out! Come help accelerate scientific research! HashSmash is an open science-acceleration project in collaboration with @yukonresearch, @eigenlabs, @projecteleven, and @ShieldedLabs.