Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. https://t.co/z5T88Orble
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: https://t.co/7m7eEg6Y0B
Tech report: https://t.co/yeu6cjpMCT
Tech blog: https://t.co/YTfiMSNM1f
It is humbling to consider that if we harness just 1 millionth of the Sun’s power for AI, that will be much more than a million times the intelligence of all of humanity
Just want to make this clear:
We didn't make Hermes Agent to be a "starts with nothing, you work it all out" agent. This is not the minimalist, start from nothing, agent.
We want Hermes to work out of the box for most people. So you aren't spending weeks just getting the agent to work, or have the capabilities you need.
This means that yes, there are more built in things then something like nanoclaw or pi, which start with nothing, and you just have to figure it out.
That is an intentional design decision.
You can from the modest baseline that has capabilities that are likely broader than you need, but not egregious, take it from there if you want to tinker with it.
Run `hermes skills config` or `hermes tools` to disable whatever you want.
We even have a way to upload your whole "Agent" as a github repo, so you can install hermes fresh with your exact setup again later or share them.
We have a massive interface for extensions so you can tinker with it to infinity.
But if you don't want to become an agent engineer - with Hermes, you don't have to.
A summary of the RAVE -95% price fluctuation from $26 to $1 over the past 24 hours.
RAVE Timeline: April 18, 2026
7:26 am UTC: I posted a call to action for Binance, Bitget, & Gate to investigate RAVE market manipulation and offered a $10K bounty.
10:56 am UTC: I posted an update increasing the bounty to $25K.
11:18 am UTC: Bitget publicly acknowledged the call to action.
2:08 pm UTC: Binance publicly acknowledged the call to action.
3:06 pm UTC: RaveDAO posted claiming they have no involvement.
4:19 pm UTC: Gate publicly acknowledged the call to action.
In the days leading up, on April 13 & 14, I confronted RaveDAO co-founder Yemu Xu (wildwoomoo) but have yet to receive an answer.
RAVE launched in Dec 2025 on Binance Alpha with a 1B total supply. The addresses below, linked to the initial distribution, control ~95% of the RAVE supply (h/t Mlm):
0x9831156F1a6E506Fca41503590b42F07c2e80f54
0x8Ed6245C3276307E1A9D9Dc872E98A0E770070fd
0x6020656d1EF182173E45D4Fc375BDD5a48c674B0
0x2664cB80a5ee7D8EC05fe7C752dD62E078056E6d
0x2D81F8AeBf3e58A5e638006c9fd8F38C5220ecab
0x31694d761A8e851cFFbCd286aC54D01e5Ce5aFe6
0x0A1F07993a51CcEb4f52CA67765AECeADDA790d7
0xEB74Df8588cFC1C179Df4bd96C0bB8B227B9bE92
0x53d7d52301366DC14E1916b14eFeC1aDD8F3487b
I found suspicious CEX activity in April 2026 tied to RaveDAO team addresses onchain, which potentially contradicts their recent statement:
Bitget
0x2dc20f2180582172f5450c5d71e23fa438a7031b
0xa3a02aeb97fc1737c66f50d07d024799c137891d
0x2d95eb42525e6087e0cb7869f98da6838ed2e743
Gate
0x31711246b05d71e9eda5e38a3abb654020ee3353
Given the supply concentration, the team at minimum knows who is responsible for this price action.
A simple litmus test: $6B in market cap was wiped out on just $52M of 24hr liquidations (h/t CoinGlass). That ratio points to a manipulated and unsustainable valuation.
RAVE is not the only token with manipulation we have seen on major centralized exchanges. It's just the most blatant, reaching a top 15 market cap within 10 days before dropping 95% in hours.
Other projects with highly questionable price action recently include: SIREN, MYX, COAI, M, PIPPIN, RIVER.
Exchanges need faster intervention on manipulation. Detection at scale isn't easy, but each day of delay means retail traders absorb losses while platforms collect fees on the volume. The outcome is the same regardless of intent.
While it's good the exchanges responded, I find it unlikely this activity wasn't spotted internally before I raised it publicly.
I recognize how much this behavior takes from retail traders, and I plan to investigate similar movements in hopes of identifying the responsible parties.
I want to reiterate that I did not take a position. If I had, I would have been liquidated myself. I also could not anticipate if or when the exchanges would comment publicly.
My $25K bounty will remain active since the only DMs received were unverified claims rather than non-public information with supporting evidence as requested.
1/ Recently an unnamed source shared data exfiltrated from an internal North Korean payment server containing 390 accounts, chat logs, crypto transactions.
I spent long hours going through all of it, none of which has ever been publicly released.
It revealed an intricate ~$1M/month scheme of fraudulent identities, forged legal documents, and crypto-to-fiat conversion.
Enjoy the findings!
1/ Welcome to the Circle $USDC files.
$420M+ in alleged compliance failures since 2022, including fifteen cases of the US-regulated stablecoin issuer taking minimal action against illicit funds.
John Daghita (Lick) was arrested in the Caribbean yesterday as a direct result of my investigation.
In late January 2026, I exposed how John stole $ 46M+ in seized crypto assets from the US government by abusing access at CMDSS, his father's company, which held a USMS contract.
John then taunted me multiple times via his Telegram channel and dust attacked my public wallet address with stolen funds.
Thanks for the last laugh, John.
Two years ago, I wrote this post on the possible areas that I see for ethereum + AI intersections: https://t.co/y8G3MD5APF
This is a topic that many people are excited about, but where I always worry that we think about the two from completely separate philosophical perspectives.
I am reminded of Toly's recent tweet that I should "work on AGI". I appreciate the compliment, for him to think that I am capable of contributing to such a lofty thing. However, I get this feeling that the frame of "work on AGI" itself contains an error: it is fundamentally undifferentiated, and has the connotation of "do the thing that, if you don't do it, someone else will do anyway two months later; the main difference is that you get to be the one at the top" (though this may not have been Toly's intention). It would be like describing Ethereum as "working in finance" or "working on computing".
To me, Ethereum, and my own view of how our civilization should do AGI, are precisely about choosing a positive direction rather than embracing undifferentiated acceleration of the arrow, and also I think it's actually important to integrate the crypto and AI perspectives.
I want an AI future where:
* We foster human freedom and empowerment (ie. we avoid both humans being relegated to retirement by AIs, and permanently stripped of power by human power structures that become impossible to surpass or escape)
* The world does not blow up (both "classic" superintelligent AI doom, and more chaotic scenarios from various forms of offense outpacing defense, cf. the four defense quadrants from the d/acc posts)
In the long term, this may involve crazy things like humans uploading or merging with AI, for those who want to be able to keep up with highly intelligent entities that can think a million times faster on silicon substrate. In the shorter term, it involves much more "ordinary" ideas, but still ideas that require deep rethinking compared to previous computing paradigms.
So now, my updated view, which definitely focuses on that shorter term, and where Ethereum plays an important role but is only one piece of a bigger puzzle:
# Building tooling to make more trustless and/or private interaction with AIs possible.
This includes:
* Local LLM tooling
* ZK-payment for API calls (so you can call remote models without linking your identity from call to call)
* Ongoing work into cryptographic ways to improve AI privacy
* Client-side verification of cryptographic proofs, TEE attestations, and any other forms of server-side assurance
Basically, the kinds of things we might also build for non-LLM compute (see eg. my ethereum privacy roadmap from a year ago https://t.co/KdsQbpIkF9 ), but for LLM calls as the compute we are protecting.
# Ethereum as an economic layer for AI-related interactions
This includes:
* API calls
* Bots hiring bots
* Security deposits, potentially eventually more complicated contraptions like onchain dispute resolution
* ERC-8004, AI reputation ideas
The goal here is to enable AIs to interact economically, which makes viable more decentralized AI architectures (as opposed to non-economic coordination between AIs that are all designed and run by one organization "in-house"). Economies not for the sake of economies, but to enable more decentralized authority.
# Make the cypherpunk "mountain man" vision a reality
Basically, take the vision that cypherpunk radicals have always dreamed of (don't trust; verify everything), that has been nonviable in reality because humans are never actually going to verify all the code ourselves. Now, we can finally make that vision happen, with LLMs doing the hard parts.
This includes:
* Interacting with ethereum apps without needing third party UIs
* Having a local model propose transactions for you on its own
* Having a local model verify transactions created by dapp UIs
* Local smart contract auditing, and assistance interpreting the meaning of FV proofs provided by others
* Verifying trust models of applications and protocols
# Make much better markets and governance a reality
Prediction and decision markets, decentralized governance, quadratic voting, combinatorial auctions, universal barter economy, and all kinds of constructions are all beautiful in theory, but have been greatly hampered in reality by one big constraint: limits to human attention and decision-making power.
LLMs remove that limitation, and massively scale human judgement. Hence, we can revisit all of those ideas.
These are all things that Ethereum can help to make a reality. They are also ideas that are in the d/acc spirit: enabling decentralized cooperation, and improving defense. We can revisit the best ideas from 2014, and add on top many more new and better ones, and with AI (and ZK) we have a whole new set of tools to make them come to life.
We can describe the above as a 2x2 chart. There's a lot to build!
Update: Patrick Witt (Executive Director for the US President’s Council of Advisors for Digital Assets) & USMS have both stated they are looking into the incident.
In case you are curious how John Daghita (Lick) was able to steal $40M+ from US government seizure addresses.
John’s dad owns CMDSS, which currently has an active IT government contract in Virginia.
CMMDS was awarded a contract to assist the USMS in managing/disposing of seized/forfeited crypto assets.
It still remains unclear at this point how John obtained access from his dad.
1/ Meet the threat actor John (Lick), who was caught flexing $23M in a wallet address directly tied to $90M+ in suspected thefts from the US Government in 2024 and multiple other unidentified victims from Nov 2025 to Dec 2025.
On January 10, 2026 at around 11 pm UTC a victim lost $282M+ worth of LTC & BTC due to a hardware wallet social engineering scam.
The attacker began converting the stolen LTC & BTC to Monero via multiple instant exchanges causing the XMR price to sharply increase.
BTC was also bridged to Ethereum, Ripple, & Litecoin via Thorchain.
Theft addresses (2.05M LTC, 1459 BTC):
bc1qluxw46r55wf3dnk9c652vrt4duadm3hpuktf86
bc1qpsmh26ja0fzzf286zulmt9eywujc2pggj40wzm
ltc1qly43c2prj4c2e85dcspzpjd36jnapnenldnr70
Community alert: Ledger had another data breach via payment processor Global-e leaking the personal data of customers (name & other contact information).
Earlier today customers received the email below.