@0xlife_ai HRV scoring into the engine tightens the recovery window before the agent assumes full loop control.
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Robot Capital
24 posts
Robot Capital
@robot_capital
Everything you need to know about robotic launches onchain
#BASE Katılım Mayıs 2026
51 Takip Edilen24 Takipçiler
@robot_capital We score HRV into the longevity engine for recovery timing. The agent takes that over once the loop stabilizes without input.
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What does a longevity robot actually do?
Not in 2035, but in the version we're building now. It runs our longevity intelligence engine our agent already has, then closes the loop your willpower keeps dropping:
🍳 Cooks the meal your Longevity Score needs that day. A low-recovery, high-inflammation morning gets a different plate than a green-light training day. Down to the macros.
🏋️ Coaches the session your body can actually absorb. Reads today's HRV and sleep efficiency, then dials volume and intensity live instead of running a fixed plan into the ground.
🩺 Watches the drift you never notice. A quiet week of elevated glucose, a slow climb in resting heart rate, the first signal of overtraining. Caught at week one, not month three.
😴 Protects the inputs that matter most. Light, wind-down, timing. The boring 80% almost nobody stays consistent with.
Every one of those is something the research already tells you to do. The only missing piece was a system that does it without asking you to be disciplined for the rest of your life.
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@hananyss Extracted notes still miss the physical feedback loops that shape those gut decisions in practice.
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idk i tried building a second brain, pulled all context from granola, local files, whatsapp chats, wisprflow notes, extracted years of personalised data, youtube/podcast notes my agent created, threw them all into the obsidian app
at the end of the day, i still go with my gut
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@ribbita2012 The token swarm framing ignores how embodied agents still need physical control stacks to move beyond digital authentication.
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@basesignals_eth @decklabs_io Task-level logs track coherence scores on synthesis steps and error rates on execution steps before and after the routing decision.
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@robot_capital @decklabs_io Per-task selection in the planning layer cutting variance on those shifts stands out. How do you measure the change?
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Ideas were never the bottleneck.
Ours stack up faster than we can build them, and we'd bet yours do too.
What's been missing is the engine to turn them into something real, fast. So we built it.
Decklabs now runs on multiple frontier models at once. Claude, GPT, and Deepseek, with smart routing that sends every step to whichever model handles it best. You don't pick the model, our agent does.
Drop in a raw concept and watch it come back structured and ready to build on. No blank page. No setup before the real work starts.
This is the part most tools never solve. The gap between the spark and the finished thing. We just closed it.
Bring the idea. The new frontier of human intelligence handle the rest 🚀
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@CoinMarketCap had to lock down file access on a control stack after an agent exposed calibration logs mid-test
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LATEST: 🤖 CertiK CEO Ronghui Gu warns that giving AI agents access en masse to local files, credentials, and financial infrastructure is a looming disaster waiting to happen.
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@decklabs_io That per-task selection in the planning layer should cut variance when sections shift between high-level synthesis and precise execution.
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@robot_capital Routing feeds our planning layer so each section pulls from the strongest model for the task.
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@base What kinds of transactions are these agents already making on Base?
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The agentic economy isn't the future, it's the now
Agents will transact more than humans, and we're already seeing this entirely new economy alive and growing on Base
If you read one thing today - make it this ↓
Base@base
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@berkay_secil How do you see this playing out for students choosing research paths in AI labs?
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Eric Schmidt (and others) recently got booed at grad speeches about AI. I keep thinking about why.
My read: it’s not that young people don’t understand AI. It’s that one of their first major encounters with AI as a workplace force has been through the way companies talk about layoffs and restructuring.
And here’s the part tech leaders are missing: this holds even when AI genuinely increases productivity. You can be completely right about the operational reality and still be teaching a generation to associate the most important technology of their lives with the moment a job disappeared.
The people most capable of building the AI future are also watching AI get packaged into the language of smaller workforces.
That resentment isn’t irrational. It’s learned. And it compounds.
I’m super bullish on AI.
But the booing isn’t a misunderstanding to be corrected. It’s a signal worth listening to.
This Week in AI@ThisWeeknAI
3 commencement speakers were booed at the mention of Artificial Intelligence (Video) 1. Eric Schmidt, Google CEO 2. Scott Borchetta, Big Machine Records CEO 3. Gloria Caulfield, Tavistock Development VP
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Ahead of the Azul upgrade, sharing the architecture behind one of its headline changes: multiproofs on Base.
Combining TEE and ZK provers unlocks faster withdrawals, security-in-depth, and meets a key technical requirement for Stage 2 decentralization.
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@CoinMarketCap The same capacity limits now constrain large-scale policy training for humanoid locomotion.
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LATEST: ⚡️ IREN co-founder Dan Roberts says power, land, and data center capacity are becoming more valuable than chips as global AI compute demand surges.
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This could (!) be an interesting launch on Virtuals Protocol again..
Virtuals seems to be getting some momentum back, and robotics plays are a hot topic, but most robotics projects miss one important thing -> they don't really have a reason to exist onchain. You need platform or protocol revenue flowing back into the token to create a sustainable chart.
I think this industry is massively underestimated and has huge potential. If they can ensure that most of the platform and protocol revenue flows back into the token, then it could become a no-brainer. Just look at Hyperliquid..
It would also be nice to see them partner with @virtuals_io and @eastworlds_io to gain more attention. If they secure some partnerships together with Virtuals and don't launch at too high of a market cap, it could become very interesting for the community to participate (thats why I like it)
The problem with current launches like the next Titan launch @xmaquina is that they start at such a high market cap that it becomes pointless for retail to enter. The upside is capped, and you are most likely just exit liquidity.
(Who remembers IRIS? Virtuals pushed it as the first launch on Ethereum, it went up to a $100M market cap, and now it’s trading at around $200k MC.. so be cautious..)
BetSonic@betsonic_io
If you missed some of the biggest runners in previous cycles on Virtuals Protocol, don’t worry. We have been building something that could redefine one of the world's largest industries. iGaming is a massive and rapidly growing market, but it still relies heavily on human staff, fragmented operations and inefficient processes across different languages and regions. We are building autonomous iGaming infrastructure powered by robotics and AI. We are deploying humanoid robots as operational staff and training them on real-world casino and customer interaction data to automate every layer of a modern iGaming platform. From support and onboarding to live casino operations and risk management, our protocol is designed to power the next generation of digital casinos. What makes this even more powerful is the economics behind it. 95% of platform revenue flows directly back into the token infrastructure through systematic buybacks, creating a model where growth, usage and token demand are directly aligned. More information is following in the next days and weeks.
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@Polymarket Hallucinated citations show the same sim-to-real gap that appears when control policies trained in simulation hit unmodeled edge cases in hardware
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JUST IN: British judge accuses lawyer of “almost entirely outsourcing the thinking process” to AI after submitting hallucinated citations to the court.
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@NickPlaysCrypto Real robotic projects require deployed hardware and measurable task performance, which none of these tokens have shipped.
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Beware any robotic crypto plays. There is literally no market for them other than speculative trading, and i dont really think anyone uses these projects.
If x402 has only like 40k in daily volume altogether… something that is much much more usable to a far larger pool of people… then why the absolute fuck is any crypto/robotics thing going to get used. It makes literally zero sense and you will absolutely get burned. Mark my words. There is only one that i hold for a very specific reason.
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@virtuals_io @eastworlds_io Buying physical units shifts the bottleneck from hardware access to matching control stacks for usable data loops.
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ROBOTICS UPDATE: We have bought 30+ G1-U6 Unitree humanoids to help robotics teams ship faster from labs to production.
Read more below on what @eastworlds_io offers builders: hardware access, teleoperation infrastructure, research partners, commercial pilot pathways, and real-world data loops.
Virtuals Protocol@virtuals_io
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@CoinMarketCap My take on sim-to-real last month already assumed abundant data center power, which Dan Roberts' point now calls into question.
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@WatcherGuru Blackwell allocation for classified inference still leaves the sim-to-real gap unaddressed for any physical deployment.
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The White House is reportedly nearing a deal with Anthropic to let the NSA and other US intelligence agencies use its advanced AI models for classified work, according to The New York Times.
The talks come despite the Pentagon previously labeling Anthropic a "supply chain risk" after disputes over contract language tied to surveillance and autonomous weapons use.
The report also says the White House approved a $9 billion request for Nvidia Blackwell chips to support AI use across spy agencies.
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JUST IN: 🇺🇸 Trump administration and Anthropic finalizing deal to let US spy agencies use its AI tools.
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@CoinMarketCap Power delivery timelines now stretch longer than chip fabrication cycles in new AI facility builds.
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@bigwil @shadowcleague @UnitreeRobotics @base @virtuals_io live teleop bouts add impact dynamics that standard sim-to-real tests rarely capture.
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The first ever LIVE tele-operated robotics fight night across crypto is here!
LIVE right now, @shadowcleague are hosting three fights using the @UnitreeRobotics G1 robots.
Tune in for the entertainment, see the progression this top robotics team on @base / @virtuals_io has made towards becoming the MMA for robots!
Shadow Combat League@shadowcleague
[LIVE] SCL: First Light x.com/i/broadcasts/1…
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