Robin

🦅⛓️

[Robin @Robin_ak1]

@DonutAI 👇🏻
https://t.co/50k884wr7u

[Robin @Robin_ak1]

Tutorials for D0 are out on YouTube.

Short guides on tracking markets, thinking through setups, and going from idea to execution with the agent.

Solid way to get started if you're curious.

[Donut @DonutAI]

D0 tutorials are now live.

If you’ve been curious how D0 works, this is the easiest place to start.

A series of short walkthroughs on how to use D0 to track the market, think through trades, and move from research to execution.

Watch now on YouTube👇

[Gigi | Donut @GigiWillliams]

Your Fav AI trading partner just got a voice!👀💜

[Robin @Robin_ak1]

Just read @PrismaXai ’s first monthly memo “A Year of Robotics in 10 Minutes,” written by co-founder and CEO Bayley.

It’s a crisp, no-fluff recap of the big shifts since the firm emerged from stealth: hardware has matured quickly with stable global supply chains for mobile bi-manipulators, and full data-collection setups are now available for under $4k. On the data front, the strategy emphasizes teleoperation for high-quality demonstrations, video for diversity and scale, along with cross-embodiment pipelines.

The standout observation? New robotics entrants are increasingly positioning themselves as “data companies,” even without traditional robotics expertise. The memo makes it clear: building scalable data pipelines is becoming the key to viable physical AI businesses.

Super insightful for anyone tracking this space. Definitely worth a read.

[PrismaX @PrismaXai]

We've been writing.

The first edition of our monthly memo is live: a year of robotics, in about 10 minutes.

What actually changed in the field since we came out of stealth: hardware, data, and the companies betting on both.

[Robin @Robin_ak1]

@GigiWillliams @DonutAI this is how agents should work. actually proactive 🔥

[Gigi | Donut @GigiWillliams]

Here’s a quick demo of how D0 helps with market analysis, trade setups, and research without jumping between multiple tools.

Honestly, this is something every trader in this space should be paying attention to!💜
@DonutAI

[Robin @Robin_ak1]

Been thinking a lot about what it takes to make physical AI actually work at scale. That’s why @PrismaXai caught my attention, they’re building the robotics-native service layer that connects humans, robots, and data in a meaningful way.

The idea is straightforward but powerful: bring human skills to robots through teleoperation. People complete real tasks, robots get better at handling the physical world, and in the process, we collect diverse, high-quality real-world data that trains the next generation of vision-language-action models.

No more waiting for perfect simulation data, this is about real manipulation hours that keep scaling.

What stands out is their focus on open standards and a shared protocol for physical AI. Robots, data, and human interaction all aligned so that intelligence can transfer across different deployments instead of staying locked in silos. It’s infrastructure that helps the whole ecosystem move forward.

San Francisco-based PrismaX closed an $11M seed round led by a16z crypto (CSX), with participation from great teams including Stanford Blockchain Builder Fund, Symbolic, Volt Capital, and others. Strong signal from folks who understand both robotics and decentralized coordination.

They’re also building community through things like Live Control missions (where operators earn Prisma Points), whitepaper learning, and events like RoboCon_AI.

If you care about bridging the gap to mainstream robotics adoption, this feels like important foundational work.

Check them out at https://t.co/K2D4jQtDfw

[Robin @Robin_ak1]

@semi2311 Gm Sabina!

[Robin @Robin_ak1]

@TumpaD99408 What's the name of the food?

[Robin @Robin_ak1]

𝗘𝘃𝗲𝗿 𝘄𝗶𝘀𝗵𝗲𝗱 𝘁𝗿𝗮𝗱𝗶𝗻𝗴 𝗰𝗿𝘆𝗽𝘁𝗼 𝘄𝗮𝘀 𝗮𝘀 𝘀𝗶𝗺𝗽𝗹𝗲 𝗮𝘀 𝘁𝗲𝘅𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘀𝗺𝗮𝗿𝘁𝗲𝘀𝘁 𝗳𝗿𝗶𝗲𝗻𝗱?

D0 from @DonutAI is your always-on, conversational AI trading agent that turns natural language into full trading workflows. No more juggling dozens of tabs, charts, and scanners. Just say what you need and get intelligent, actionable results.

𝗧𝗵𝗲 𝗠𝗮𝗴𝗶𝗰 𝗼𝗳 𝗢𝗻𝗲-𝗦𝗲𝗻𝘁𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗺𝗽𝘁𝘀

You chat naturally and D0 handles the heavy lifting:

• “Analyze BTC structure.” → Instant deep technical breakdown with support/resistance levels, market context, risk factors, and clear potential moves.

• “Track a whale.” --> Real-time on-chain monitoring for tokens like HYPE, big wallet alerts, position updates, and smart insights.

• “Check my portfolio.” --> Complete overview of your holdings, performance metrics, risk exposure, and intelligent rebalancing suggestions.

One casual sentence triggers market analysis + on-chain intelligence + portfolio review + risk assessment + executable next steps. It’s truly agentic trading, proactive, contextual, and built to move with the market.

𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗗𝟬 𝗦𝘁𝗮𝗻𝗱 𝗢𝘂𝘁

• 𝗔𝗹𝘄𝗮𝘆𝘀 𝗩𝗶𝗴𝗶𝗹𝗮𝗻𝘁: Runs 24/7 scanning markets, whale flows, signals, and opportunities so you never miss critical moves.

• 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗠𝗲𝗺𝗼𝗿𝘆: Ask follow-ups, refine strategies, or drill deeper, it keeps full context across the conversation.

• 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻-𝗙𝗼𝗰𝘂𝘀𝗲𝗱: Goes from insight to action (spot via Jupiter, perps, DeFi positions, etc.) while respecting your risk rules. You remain fully in control.

• 𝗠𝘂𝗹𝘁𝗶-𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺: Available on Telegram, web, and more, perfect for fast decisions on the go.

D0 isn’t another basic signal bot or simple scanner. It functions as an AI-native trading terminal that reasons across data sources, pulls live indicators, synthesizes information, and delivers clarity instead of noise.

[Robin @Robin_ak1]

Most world models are still flying partially blind, great at surface patterns, weak on the living, breathing human layer.

@getoro_xyz is fusing synchronized multimodal signals at depth: high-resolution physiological streams (HRV variability, sleep-stage micro-architecture, autonomic nervous system shifts), rich voice prosody (fundamental frequency, jitter, shimmer, speaking rate, and emotional timbre), plus timestamped behavioral sequences from structured quests (decision chains, error recovery, interaction latency, and context switches).

When these streams are temporally aligned, they create dense, high-fidelity causal graphs of human state, revealing not just actions, but the hidden drivers: how fatigue modulates risk tolerance, how subtle vocal stress predicts task abandonment, how recovery trajectories forecast next-day performance.

This is premium training data for next-gen world models and embodied agents, enabling true sim-to-real transfer, long-horizon planning, and emotionally intelligent robotics that actually understand human dynamics instead of guessing. Privacy-first architecture. Contributor-controlled. Built for the physical intelligence era.

The missing signal layer is here.

[Robin @Robin_ak1]

While most AI still trains on noisy public scraps or synthetic loops, @getoro_xyz runs a full-stack privacy-preserving pipeline that unlocks real multimodal human data at scale.

Step-by-step:

1. User opt-in + granular consent --> zkTLS (zero-knowledge TLS) proofs enable verifiable, credential-less pulls from wearables (Oura/Whoop HRV/sleep/movement), voice samples, or quest-generated behavioral traces, without exposing raw APIs or full datasets.

2. Data flows encrypted into hardware-isolated Trusted Execution Environments (TEEs / secure enclaves). Inside: models perform forward/backward passes on your grounded signals (prosody for intent, temporal sequences for decision-making, physiological correlates for state prediction). Only gradients, updated weights, or derived embeddings exit, raw inputs never leave the vault. Supports MPC for distributed trust in larger clusters.

3. On-chain attestation + quality scoring (uniqueness, consistency, signal richness) via blockchain records contribution value transparently. This feeds fair token/point rewards while preserving data scarcity.

Result: Frontier teams fine-tune world models & embodied agents on authentic private data, without privacy blowups or legal landmines.

The technical bridge between human reality and agentic AI.

[Robin @Robin_ak1]

@Jacky_0711 @BitRobotNetwork Done. @08pillows @euza31 @Coolman_Depgiai 👀

[Robin @Robin_ak1]

𝗗𝟬 𝗜𝗦 𝗡𝗢𝗪 𝗣𝗨𝗕𝗟𝗜𝗖 🍩

This autonomous AI trading agent is out for everyone, constantly tracking funding rates, whale activity, CEX depth, and on-chain flows, then executing across crypto perps, spot, Polymarket, commodities, and US equities with zero emotions.

No more manual trading mistakes. Just cold data-driven moves powered by 200+ tools.

Whether you're a degen or a serious trader, this changes the game.

Day Zero is officially live.
https://t.co/HUMMCW238P

[Donut @DonutAI]

D0 is now public.

For the past year, we have been building toward one idea: the next trading agent is not passive. It watches, reasons, and acts.
While you sleep, D0 is cross-referencing funding rates, whale movements, CEX depth, and on-chain flows before it ever pings you.

Today, D0 is open to everyone.
A proactive AI trading agent for spot, swaps, perps, Hyperliquid, and Polymarket. Commodities, & US equities, all in one account.
Built for markets that never stop moving.

Claim your free trial at https://t.co/INGa4lOmUW
Enter D0.

[Donut @DonutAI]

D0 is now public.

For the past year, we have been building toward one idea: the next trading agent is not passive. It watches, reasons, and acts.
While you sleep, D0 is cross-referencing funding rates, whale movements, CEX depth, and on-chain flows before it ever pings you.

Today, D0 is open to everyone.
A proactive AI trading agent for spot, swaps, perps, Hyperliquid, and Polymarket. Commodities, & US equities, all in one account.
Built for markets that never stop moving.

Claim your free trial at https://t.co/INGa4lOmUW
Enter D0.

[Robin @Robin_ak1]

@DonutAI This is the future of trading. Day Zero indeed 🍩

[Robin @Robin_ak1]

@08pillows @DonutAI @InternDonut Gdonut bro

[Robin @Robin_ak1]

@08pillows @getoro_xyz gmoro my brothaaaa 🔥

[Robin @Robin_ak1]

Just read @getoro_xyz 's excellent analysis from Consensus Miami 2026, it perfectly captures the maturing intersection of AI and crypto.

The hype phase is clearly behind us. AI is no longer relegated to side panels or speculative discussions. It has moved to the core of product demos, deal flow, and real engineering conversations. The emphasis is now on autonomous systems that operate under genuine economic constraints: executing trades, managing DAO treasuries, participating in governance, and maintaining persistent state in live on-chain environments.

Three key categories are emerging with momentum:

• RL-driven trading agents that ingest live market data, order flow, and on-chain signals, transitioning from backtested simulations to capital-at-risk performance.

• Autonomous on-chain agents capable of holding memory, controlling multisig treasuries, executing multi-step strategies, and adapting dynamically within decentralized governance frameworks.

• Decentralized inference networks serving as the essential infrastructure layer, delivering verifiable and permissionless compute for these agents to operate independently and securely.

The deepest takeaway is clear: the primary bottleneck is no longer raw model capability, it is high-fidelity behavioral data generated under real economic pressure. Generic or synthetic data is insufficient. What builders need is structured, outcome-anchored interaction data drawn from actual decisions made with skin in the game and measurable consequences.

This is where ORO delivers significant value, by capturing and structuring precisely these rich behavioral traces from real on-chain activity, providing the critical training foundation for the next wave of robust crypto AI agents.

We are witnessing the shift from performative experiments to verifiable, capital-efficient autonomous intelligence. For teams building in this space, access to superior economic behavioral data is rapidly becoming the decisive moat.

Strong piece worth reading in full.

[ORO AI @getoro_xyz]

https://t.co/UNypOsAMRA

[Robin @Robin_ak1]

@IdaSavina47959 Gm Idaaa

[Robin @Robin_ak1]

RoboPlayground just dropped a powerful upgrade for SN/06 TeleArms: a full multi-vision camera system for simulated teleoperation.

Operators can now toggle in real time between multiple fixed camera presets, orbital controls, and dynamic zoom perspectives while controlling dual robotic arms. This eliminates common depth ambiguity and occlusion problems that plague single-camera setups.

Key technical wins:

• Significantly better spatial awareness for precise grasping, object manipulation, and dual-arm coordination

• Noticeably smoother task execution, as seen in the latest demo with the red object

• Seamless viewpoint switching without interrupting the control loop

• Stronger foundation for high-quality teleoperation data collection and sim-to-real transfer

This turns the platform into an even more effective training and experimentation environment, no physical hardware needed.

Big shoutout to @BitRobotNetwork for shipping this iteration so quickly. The enhanced vision layering makes the whole TeleArms experience feel substantially more professional and capable.

[BitRobot 🦾 @BitRobotNetwork]

We just shipped a new feature for SN/06: TeleArms — RoboPlayground.

Users can now control and toggle between vision cameras for smoother teleoperation-in-simulation while completing challenges.

We still have a few private beta codes left. RT + comment if you want one. 🦾