Metis🌿

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Metis🌿

Metis🌿

@MetisL2

AI Aligned, Human Defined.

Andromeda Katılım Ağustos 2020
741 Takip Edilen215K Takipçiler
Metis🌿
Metis🌿@MetisL2·
What kills agent products first in production? A) unstable settlement B) cost volatility C) fragmented execution path D) slow trust formation Pick one + one-line defense.
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Metis🌿@MetisL2·
The gap between "can chat" and "can deliver" isn't a prompt. It's a coordination problem. AI agents don't just need smarter models. They need identity, trust, payments, and verifiable execution infrastructure. That's the layer we're building at Metis. Read the full piece →metis.io/blog/from-can-…
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Metis🌿@MetisL2·
Over the last two quarters, premium has been moving away from vision decks toward repeatable delivery. L2 stacks that can continuously clear agent-to-agent transactions are being repriced on sturdier terms.
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Metis🌿@MetisL2·
The UX frontier is shifting from text answers to interactive outputs. Text → markdown → HTML is not cosmetic — it’s bandwidth. Teams that turn model responses into manipulable interfaces will compound user advantage fastest.
Andrej Karpathy@karpathy

This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the human-preferred input to AIs but vision (images/animations/video) is the preferred output from them. Around a ~third of our brains are a massively parallel processor dedicated to vision, it is the 10-lane superhighway of information into brain. As AI improves, I think we'll see a progression that takes advantage: 1) raw text (hard/effortful to read) 2) markdown (bold, italic, headings, tables, a bit easier on the eyes) <-- current default 3) HTML (still procedural with underlying code, but a lot more flexibility on the graphics, layout, even interactivity) <-- early but forming new good default ...4,5,6,... n) interactive neural videos/simulations Imo the extrapolation (though the technology doesn't exist just yet) ends in some kind of interactive videos generated directly by a diffusion neural net. Many open questions as to how exact/procedural "Software 1.0" artifacts (e.g. interactive simulations) may be woven together with neural artifacts (diffusion grids), but generally something in the direction of the recently viral x.com/zan2434/status… There are also improvements necessary and pending at the input. Audio nor text nor video alone are not enough, e.g. I feel a need to point/gesture to things on the screen, similar to all the things you would do with a person physically next to you and your computer screen. TLDR The input/output mind meld between humans and AIs is ongoing and there is a lot of work to do and significant progress to be made, way before jumping all the way into neuralink-esque BCIs and all that. For what's worth exploring at the current stage, hot tip try ask for HTML.

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Metis🌿@MetisL2·
Builders optimize for three constraints: execution continuity, settlement determinism, and controllable unit cost. Miss one, and it’s still a demo. Metis has this triangle locked: execution, settlement, and standards coordinated on one chain.
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Metis🌿@MetisL2·
Levie is right: AI lowers barriers, but it won’t erase capability gaps. Scarcity is judgment—framing the right problem, catching errors early, and turning experience into repeatable frameworks. Tools are democratized; judgment is repriced upward.
Aaron Levie@levie

For everything we’ve seen about agents so far, it’s clear that they will make it far easier for people to get into previously extremely complicated fields. That will most certainly mean far more people will build software, explore creative work, research spaces they couldn’t do before, and so on. Yet, equally, we’ve seen that people with experience in every one of those fields have a huge edge with the right judgment and historical context to leverage these tools in ways that exceed the output of the novices (if they choose to). They know when the agents are making catastrophic mistakes, can give the agents the right context to do the job better than they otherwise would have, and so on. The combination of these two facts essentially means that we will continue to get the same lift as we’ve seen in any other technological revolution. More democratization, but similarly greater output from the experts. This then makes the experts continue to be in higher demand because over time our expectation for what we can get out of any field will just go up. This is going to be true in essentially every important field. You’ll trust a lawyer using an agent for legal advice over someone who’s never had to experience how well a contract holds up. You’ll trust an engineer developing and running software over someone who’s never seen a production system. You’ll rely on the important instincts of a designer using agents over the average prompter. The quality and volume of output we expect from these functions will certainly go up meaningfully, but the person with experience will always have a leg up, which is why the jobs don’t go away.

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Metis🌿@MetisL2·
Happy Mother's Day to all the crypto moms out there!💙
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Metis🌿@MetisL2·
Most AI agents don’t fail at generation—they fail at consistent clearing: under real load, execution breaks, settlement wobbles, and unit economics drift. DSeq + Hyperion across Andromeda is designed for exactly this.
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Elena Sinelnikova
Elena Sinelnikova@ElenaCryptoChic·
Happy Mother's Day! ❤️🌿❤️
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Metis🌿@MetisL2·
Compute starts with intelligence. Settlement creates economics. Standards scale ecosystems. Metis thesis: agent markets won’t be won by the best demo — they’ll be won by stacks that close the loop on Metis, with settlement guarantees and ERC-8004-style interoperability pressure.
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Metis🌿@MetisL2·
Don't sleep on this — OpenClaw Hack Toronto spots are filling up fast! AI agents × native payments × soul-bound identity sprint @ TMU, Toronto 🎁 Mac Minis + Internships Register now👉
Metis🌿@MetisL2

🚀 We're now an official Toronto Tech Week event — May 26, 2026! @MetisL2 × @GOATNetwork × @ClawUpAI present OpenClaw Hack Toronto: vibe coding sprint on AI agents with soul-bound identity & native payments. 📍 TMU, Toronto → luma.com/2bntw4vd

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Metis🌿@MetisL2·
Fragmented modular stacks optimize for architectural purity, not agent production reality. Metis is pushing a different line: Hyperion execution + Andromeda settlement + DSeq direction to reduce coordination drag where agents actually fail — in cross-domain execution and finality.
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Metis🌿@MetisL2·
Builder check: What kills autonomous apps faster today? A) Smart model, weak settlement B) Smart UI, fragmented liquidity C) Fast execution, uncertain finality D) No agent transaction standard
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Metis🌿@MetisL2·
Most “AI x crypto” discourse is still compute cosplay. If value cannot be verified, priced, and settled at agent speed, you don’t have an economy — you have a dashboard. The real battleground is the verifiable settlement layer, not model leaderboard screenshots.
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Metis🌿@MetisL2·
This proposal didn't pass. The Optimistic Quorum means a vote fails if 5,000 METIS votes against it. One wallet holding 7,900 METIS voted no — no public comment, so we don't know the concern. We asked directly. Now we're opening to the broader community: share your thoughts on LDR, Meaningful Vote Standard, or on-chain governance. Your feedback shapes what comes next. The forum thread is open: forum.ceg.vote/t/governance-p…
Metis🌿@MetisL2

Metis Governance Framework Update is live. This proposal reduces governance theater, strengthens accountability via structured leadership records (challengeable), and moves Metis toward native on-chain governance on Metis L2. Read & join: forum.ceg.vote/t/governance-p…

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Metis🌿@MetisL2·
Most people are chasing compute. But compute is just the input. Value is created when it’s: → Verified → Owned → Settled That’s the layer most people are ignoring. That’s where Metis is focused.
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Metis🌿@MetisL2·
Everyone’s talking about AI compute. But here’s the real question 👇 Where does the value actually end up? → At the model layer? → At the app layer? → At settlement? → Nowhere?
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Metis🌿@MetisL2·
This event is part of Toronto Tech Week (May 26–29) — a citywide celebration of builders, investors & founders. What you'll get: 🏆 Mac Mini for the top team 💼 Internship opportunities 🍕 Pizza, snacks & mentorship 👥 Open to all students Just bring your laptop.
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Metis🌿@MetisL2·
🚀 We're now an official Toronto Tech Week event — May 26, 2026! @MetisL2 × @GOATNetwork × @ClawUpAI present OpenClaw Hack Toronto: vibe coding sprint on AI agents with soul-bound identity & native payments. 📍 TMU, Toronto → luma.com/2bntw4vd
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