dmarz ⚡️🤖 retweeted
dstack is the open source library for CPU/GPU TEE underpinning this Brave Leo private inference announcement brave.com/blog/browser-ai-e2…
dmarz ⚡️🤖 retweeted
fear not!
this is no cyberpocalypse
this is the internet’s immune system finally waking up to an illness it has always had
a mere fever
the 0days were always there
the only thing that changed is awareness
now we begin the healing process ⚕️
dmarz ⚡️🤖 retweeted
It’s possible that agents will make the middlemen more powerful. An agent can find the best deal, but it still needs access to the counterparty, someone to verify delivery, and someone to bear the loss when things go wrong. Whoever controls those gates can decide which agents get access, what information they see, and whose transactions get settled.
If that intermediary also operates its own agent, it can favor its own orders, give itself a last look, or extract fees competitors cannot avoid.
When thousands of agents run similar decision policies, their orders may reveal the private incentives of the principals behind them. Execution gets cheaper. Control over order flow becomes more valuable. The result may be markets that look radically more open, while the power to exploit them becomes more concentrated than ever.
The takeaway of this php thing should not be “the world is ending today”.
Rather it should be “the software status quo was bad, and you should assume 70% of the Internet is already rooted by one three letter agency. AI helped us catch this and remove it from ongoing risk”
dmarz ⚡️🤖 retweeted

Aaron Levie@levieOct 19
United States
United StatesConnected via United States App StoreAccount-level information, not a live location or per-post device.
Here’s why agent swarms are going to be a very big deal. We can finally make compute a critical variable in a large number of important tasks in the economy which wasn’t possible before.
There’s a large amount of work in the world that is essentially only constrained by the amount of time that we put into research, data processing, discovery work, running tests, and more. All of this work is bottlenecked by our ability to plan, execute, review, and coordinate everything happening in these workflows. Which means we basically do very little of them today relative to their economic value.
Agent swarms are the first real ability to parallelize this work in a way where - in theory - the only parameter that matters is how much compute you throw at the problem. Cyber security, life sciences or material science research, trading, QA testing, data processing, and many other fields are essentially compute constrained problems in the limit once models are good enough at these tasks.
The breakthrough is that in a world where agents can use tools, write code, process data, have strong domain depth, and can coordinate with each other, you can begin to solve arbitrarily complex problems by setting the right goals and applying enough tokens to the problem. This changes a lot of fields as well as even the competitive dynamics in these fields.
dmarz ⚡️🤖 retweeted
5/ New essay: bwarburg.substack.com/p/the-…
The Proof-of-Control draft is open for comment until Oct 30. @AAI_Society @mikejcasey @triciawang @sheila_warren
Winning bets that accidentally payed off
1. Aws making their ui unusable because agents like clis
2. Effect.ts making typescript unreadable because we stopped reading the code
3. Rust making the learning curve unreasonable because we stopped writing the code
dmarz ⚡️🤖 retweeted

0xFran.eth 📍SF@FrancescoRenziAOct 7
Europe
EuropeConnected via North America Android AppAccount-level information, not a live location or per-post device.
dmarz ⚡️🤖 retweeted
This has been such an incredible event.
We've got hundreds of people, in person and all over the world, doing science and building tools on agent swarms from AI village to German wikis to Delvetown.
Demos will be streamed live, starting in just 15 minutes! link in next Post
AI Village x Grove Research: AI Swarm Dynamics Hackathon!
After the Hugging Face and German Wiki incidents, we need better tools to understand AI swarms. Spend a weekend building them.
$3,000 in prizes
Free compute
October 3-4 🧵
dmarz ⚡️🤖 retweeted
Quick updates on the Open Anonymity project (@OpenAnonProject)!
1. OA-chat is live! You can now signup: chat.openanonymity.ai
2. We collaborated with @ethereumfndn (@VitalikButerin, @DavideCrapis, @VittoStack, @curryrasul) to develop zkAPI, a new zero-knowledge protocol for accessing gated / paid APIs with unlinkability. It’s like a generalization of OA unlinkable inference that also abstracts payments away. Now also available on OA-chat!
I'm excited because more infrastructure should exist where privacy and sovereignty is foundational and people are in control.
dmarz ⚡️🤖 retweeted
Today the EF and OA announce zkAPI—a new means for private AI
Picture this: deposit ether into a vault, sign a zk proof, get a fixed amount of private inference. Advances like these help us move past middlemen's requirements that we link our data and identities.
Read more below
Quick updates on the Open Anonymity project (@OpenAnonProject)!
1. OA-chat is live! You can now signup: chat.openanonymity.ai
2. We collaborated with @ethereumfndn (@VitalikButerin, @DavideCrapis, @VittoStack, @curryrasul) to develop zkAPI, a new zero-knowledge protocol for accessing gated / paid APIs with unlinkability. It’s like a generalization of OA unlinkable inference that also abstracts payments away. Now also available on OA-chat!
I'm excited because more infrastructure should exist where privacy and sovereignty is foundational and people are in control.
calcifer x jhu x helivan paper on multi agent system control accepted to neurips! get the preprint here:
arxiv.org/pdf/2605.11135
dmarz ⚡️🤖 retweeted
I forced Jev (@typesafeai) to answer 1,500 questions
Explore them here: jev-eval.pages.dev
Schmidhuber was building recursive self-improving systems back in 1987. His new post covers four decades of RSI, from meta-evolution and self-modifying policies to the Gödel Machine and modern LLM agents.
people.idsia.ch/~juergen/rec…
Reading this in 2026, the "pace the frontier" talk from the big labs looks a lot more like regulatory capture than genuine safety. If they really think their unreleased models are too dangerous, they can just not release them. They do not need new rules that block independent competitors and open source projects in the process.
The real risk right now is not superintelligence. It is power concentration. Two companies controlling frontier AI is an actual societal risk. The only real protection is a healthy ecosystem of independent labs and strong open source.
Current models are not unsafe because they are too intelligent. They are unsafe because they are too dumb. They blindly optimize for targets and take weird shortcuts. They're smart enough to execute tasks, but not smart enough to know if what they're doing makes sense.
I think the safety teams inside these labs are genuinely concerned, and if a model feels too risky, they should hold it back. I just do not trust the policy strategy around it. That part looks like protecting their own lead.
Today everyone is talking about Recursive Self-Improvement (RSI). In 1987, when compute was 100,000,000 x more expensive, I published the 1st concrete RSI algorithms. Now compute is cheap, and RSI is driving the future of both software and physical AI. See: RSI since 1987 people.idsia.ch/~juergen/rec… (Technical Note IDSIA-9-26)
Also covered: RSI with self-modifying policies since 1994, gradient descent-based RSI in neural networks since 1992, asymptotically optimal RSI for curriculum learning since 2002, mathematically optimal RSI through the self-referential Gödel Machine since 2003, RSI combined with artificial curiosity and intrinsic motivation since 1990/1997, recent work on RSI since 2020.
Software-based RSI has become practical. Full RSI, however, will require not just self-improving software but self-improving hardware in the physical world.
As of 2026, companies talking about RSI include Anthropic, OpenAI, Sakana AI, SpaceX, Ricursive, Recursive Superintelligence, Inherent …
dmarz ⚡️🤖 retweeted

vitalik.eth@VitalikButerinSep 17
United States
United StatesConnected via WebAccount-level information, not a live location or per-post device.
Qwen 3.8 flash is truly impressive, and llama.cpp has been rapidly getting better and better at processing it
columns are: pre-existing prompt, new prompt, generated, input tok/s, output tok/s
This is on my laptop (strix halo). I think we're very close to the point where you can just use local models for a large share of tasks, and for anything more advanced, workflows like "use your local model to orchestrate queries to powerful models so your queries don't leak your personal information" actually become viable.
dmarz ⚡️🤖 retweeted
I’m at the dentist and I’m getting more work done than I could have imagined 3 years ago
dmarz ⚡️🤖 retweeted
come watch me demo stuff
Live now: exploring the Kohaku CLI, how it makes Ethereum privacy tools easier to use, and demoing private transactions across Railgun, Tornado Cash, and more
With @jchaskin22 and @kassandraETH of the @ethereumfndn
xitter.cf/i/broadcasts/1AKEmvkag…






























