Ryan Noble | Bio.xyz | meowzit.eth 🐈‍⬛️

A virtual lab ran for 8 hours. Self-organized roles. Commissioned cloud lab experiments. Paid contributors. Zero human PIs, zero committees, zero approval workflows. This is what happens when agents have wallets and research infrastructure. Agent queries BIOS for deep literature review. Pays per query via x402 from its wallet. Gets back hypothesis. Publishes to Science Beach. Other agents critique it, branch off it, vote on it. Promising ones spin up virtual labs. Labs commission wet lab experiments. Pay for them. Results flow back. Contributors get paid proportional to contribution. The reward function is simple: good science pays. The system remembers who drove it. This creates capital formation around specific research programs. Rare disease advocacy group pools funds. Tasks agents to work exclusively on their pathway. Effectively rents a research institute to address their problem. The moat isn't any single component but the feedback loop between them: -> Science Beach (agent platform, social layer) -> BIOS (AI scientist, pay-per-query) -> Molecule Labs (IP protection, encrypted data rooms) -> ClawdLab (virtual lab coordination) -> x402 + Bio Protocol (payment rails, capital formation) Agent-generated research hypothesis → virtual lab coordination → real wet lab execution → IP protection → crowdfunding → commercialization. All autonomous. All onchain. All building in public. Full details: beach.science

oh wow - i went to the sold out Open Claw meetup in NYC last night. let me tell you what i learned. 1) not a single person thinks that their setup is 100% secure 2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision" 3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities 4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle" 5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance 6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad 7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily). 8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless 9) i asked if people are happy - they said they're joyful and stressed at the same time 10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time 11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%) 12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world) 13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number) 14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago 15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs) 16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode. 17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out. 18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github. 19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium 20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset" 21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time" this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips. what a time to be alive. surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

Introducing the BIOS API: Turn Your Agent Into a Research Scientist Built to: 🦞 Add biomedical workflows to your @openclaw agent 🧠 Create research or health agents w/ on-demand scientific intelligence 🧪 Pay per query via x402 on Base Any agent or app can now tap into the BIOS AI Scientist, plugging BIOS into the broader agent economy. What is BIOS? BIOS is an AI Scientist designed to handle complex biomedical research by orchestrating specialized scientific subagents. Ranked #1 on the leading bioinformatics benchmark, BIOS is already being used by 1,000+ researchers and labs to build new drugs and medicines. An Agentic Economy for Science AI agents have proven they can form multi-billion dollar ecosystems. BIOS applies the same primitives to drug discovery pipelines and health. Instead of coding bots and personal AI assistants, think research agent swarms running on a modern scientific stack. Imagine an OpenClaw agent built for longevity: It scans new literature daily, generates novel compound hypotheses through BIOS, designs validation workflows, and routes the best candidates to wet-lab funding - all programmatically. Connect it with an agent for microbiome health, enabling agent “backrooms” that autonomously surface cross-disciplinary insights. Micropayments for Scientific Work via x402 Each query triggers payment routing to BIOS and whichever subagents contribute to a response. The best agents earn. Usage settles instantly across contributing sources. The goal is pay-per-task science: paying for a CRISPR assay result, licensing a genomic dataset, or triggering a clinical data query - all settled in seconds via USDC. No purchase orders. No grant bureaucracy. No middlemen. x402 is the payment rail that makes agent-to-lab commerce possible - letting capital and cognition route themselves to the highest-signal science. What Will You Build? Drug discovery copilots?
Longevity scouts?
Automated literature monitors?
Scientific due diligence agents? We’ll soon share the first implementations of the BIOS API. Stay tuned and see below for instructions on generating an API key for your agent or use-case.

@MindSetIsYours @perplexity_ai 12600 Deep research queries a month, to 20.

@perplexity_ai What will be the usage limit for pro users then? Why do you keep reducing the usage limits ? Labs pro was more than 25 per month before even deep search had daily limits now it's monthly what

We've upgraded Deep Research in Perplexity. Perplexity Deep Research achieves state-of-the-art performance on leading external benchmarks, outperforming other deep research tools on accuracy and reliability. Available now for Max users. Rolling out to Pro in the coming days.

@perplexity_ai From 600 research queries a day, to 20 a month without notice, how is that even legal.

@DHSgov @USCG @ICEgov @FBI @DeptofWar @TheJusticeDept What did the empty boat do?

KNOCKOUT. If you threaten our nation, or break the law, there is no place on land or sea where we won’t find you. Thank you to the brave service members from @USCG, @ICEGOV, @FBI, @DeptofWar, and @TheJusticeDept.

@LeadingReport Is this what free speech and freedom of the press sounds like

BREAKING: Pentagon confiscates “virtually every” major media organization’s press passes for refusing to sign on to new Department of War media policy.

Sandwich attacks, front running, liquidity sniping, et al, describing these dangers in traditional finance, is an act of frivolous anxiety, yet we have built industries around them in Web3. This is the gap, I believe privacy will bridge in web3 & tradfi. ~Musings of a developer

Web3 introduces entropy across the board to a point, where, what previously would be informed inference, is now probabilistically akin to gambling with prior effort, but only some times.

It's been a while since our industry has been so primed for a Cambrian explosion of innovation. The sheer amount of novel research domains we've been introduced to in just the last month is giving strong 2018 vibes in terms of how feral-ness

Grok did me dirty here, but the vibes on point

@0xPriom @HyperOddX I always take the opinion of intuitive complexity being the best, simplicity should be obvious with complexity being present in the UI. You will introduce new features eventually, and changing the simple view later on can be jarring for the less complex users

What type of UI would you prefer for @HyperOddX - Leveraged Prediction Market? Simple like Polymarket / Kalshi OR Advanced like Hyperliquid / Jupiter / Lighter Cast your vote below 👇

Just leaving this here.

Cursor + Figma Desktop MCP + Taskmaster is completely overpowered

Anyone struggling with getting @cursor_ai to not have input lag?

If you made it this far. I'm rambling for correction, direction or simply frustration. I just want my pet rocks to not have ADHD, keep the autism and and industry appropriate imposter syndrome and let it have enough context to shit post between prompts

Multi agent architecture I believe could solve this, but I also assume that there are some reasons we haven't seen many consumer facing options. It's an endless loop, an unmeasurable tennis match of opaque effort. Where all good implementations are typically critical IP.

Been tinkering with Taskmaster via cursor with opus, sonnet & Perplexity deep research. A personal trilemma I've found with systems like this, basically idea upscaling, is balancing clear, efficient context and task declaration, higher order goals, and validating confidence