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@GovViz

rl envs @chakra_ai research @alchemy building https://t.co/rewx4Lbu8Z (τ) prev @base @citadel @txblockchain

Austin, TX Katılım Aralık 2021
1.1K Takip Edilen560 Takipçiler
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viren@GovViz·
Always looking for new ways to visualize and interact with digital art [alci000.xyz]
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Mckay Wrigley
Mckay Wrigley@mckaywrigley·
looking for a handful of people to test something new... i've been using it for a few months and am prepping to share. if you're a fan of claude cowork, openclaw, manus, perplexity computer, etc then you're a perfect fit. this will self destruct in 4hrs - please dm or reply.
Mckay Wrigley@mckaywrigley

you’re like 6 prompts away from infinitely customizable personal agi. anthropic gave you a world class agentic harness for free. use it!!!

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Felix Rieseberg
Felix Rieseberg@felixrieseberg·
Today, we’re releasing a feature that allows Claude to control your computer: Mouse, keyboard, and screen, giving it the ability to use any app. I believe this is especially useful if used with Dispatch, which allows you to remotely control Claude on your computer while you’re away.
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himanshu
himanshu@himanshustwts·
been closely looking into the emerging trends or paradigms lately where a good amount of cash + talent is flowing and now i am increasingly convinced that RL environments and Data for Robotics/Simulation is going to have generational run.
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viren@GovViz·
Been here 5 min GTC already a movie
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viren@GovViz·
@slash1sol Where are you seeing he made this in 10 days?
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slash1s@slash1sol·
Game Changer: Chinese college student Guo Hangjiang (GitHub: 666ghj) codes MiroFish AI swarm engine solo in 10 days with AI assistants, explodes GitHub to 23k+ stars, bags $4.1M from Shanda Group in 24 hours, ditches dorm life to become Shanghai CEO. Tech Highlights: .GraphRAG builds detailed knowledge graphs (e.g., 905 entities, 3,822 relations in demos). .Agents with Zep memory, unique traits, sims capped at ~40 rounds for efficiency. .Hybrid Node.js/Python backend, Docker deploy, OpenAI-compatible LLMs. .Low-resource scaling: 8B param dragon boat festival sim runs smooth (vid demo). .AGPL license, credits CAMEL-AI, recent fixes for UI/errors. .Online demo: 666ghj.github.io/mirofish-demo/ - Test predictions interactively. Creator Quick Look: >> BaiFu (Guo Hangjiang), BUPT senior turned Shanghai CEO at Shanda. >> Built on 38.6k-star BettaFish & MindSpider for full data-prediction pipelines. >> 790 contribs last year. Real-World Plays -> -> Sentiment: Wuhan Uni backlash sim predicts trends (repo vid). -> Literary: Agents finish Dream of the Red Chamber's lost ending. -> Finance: Historical data for market forecasts; like bags on Polymarket SPX bets. -> Policy: "What-if" for bills/geopolitics. -> Cultural: Dragon boat fest agent dynamics. -> Ecosystems: Integrates crawlers for PR/decision tools. Repo: github.com/666ghj/MiroFish
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slash1s@slash1sol

Mind blown: A Chinese quant college student builds an AI swarm engine in 10 days flat, explodes GitHub with 13,000+ stars, and scores $4,000,000 in funding! Introducing MiroFish is the multi-agent simulator that's revolutionizing predictions for trading, PR, and more. What is MiroFish? It's a digital sandbox where thousands of AI agents with individual memories and behaviors interact like a real society. Feed it any scenario (news leak, policy change, or even a classic novel's missing ending), and it simulates crowd reactions, debates, and outcomes to forecast real-world events. The Creator's Story: > In late 2025, fourth-year student Guo Hanjiang coded the core using AI assistants. > It went viral overnight, landing him 30m Yuan (~$4m) from Shanda Group. > He ditched the dorm, started a company, and now leads the charge. Key Applications: .Trading: Input financial news or reports, watch simulated market panics and price swings for predictive insights. .PR Testing: Companies/Politics run draft statements to spot backlash and refine messaging. .Creative Experiments: Loaded a lost-ending Chinese novel, agents role-played characters and generated a logical finale. .Easy setup: Deploy via Docker in minutes with any LLM API key. Pro tip: Simulate something wild like Elon Musk tweeting about Dogecoin 2.0 and spawn agent traders, influencers, and investors, generate real-time video clips of the frenzy to test moonshots or crashes risk-free. Traders are already winning big: Check this one on Polymarket - $120,000+ net profits from spot on SPX 500 bets, powered by MiroFish sims on historical data. His profile: polymarket.com/profile/%40moi… For effortless gains, try Kreo copy trading: Auto-mirror pros like him and ride their edges. Try here: @join" target="_blank" rel="nofollow noopener">kreo.app/@join Add his wallet: [0x17559efac103ac7f361be37ec0b93888d4c55aac] to [t.me/KreoPolyBot?st…] and start track/copy him. Repo: github.com/666ghj/MiroFish

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slash1s
slash1s@slash1sol·
Mind blown: A Chinese quant college student builds an AI swarm engine in 10 days flat, explodes GitHub with 13,000+ stars, and scores $4,000,000 in funding! Introducing MiroFish is the multi-agent simulator that's revolutionizing predictions for trading, PR, and more. What is MiroFish? It's a digital sandbox where thousands of AI agents with individual memories and behaviors interact like a real society. Feed it any scenario (news leak, policy change, or even a classic novel's missing ending), and it simulates crowd reactions, debates, and outcomes to forecast real-world events. The Creator's Story: > In late 2025, fourth-year student Guo Hanjiang coded the core using AI assistants. > It went viral overnight, landing him 30m Yuan (~$4m) from Shanda Group. > He ditched the dorm, started a company, and now leads the charge. Key Applications: .Trading: Input financial news or reports, watch simulated market panics and price swings for predictive insights. .PR Testing: Companies/Politics run draft statements to spot backlash and refine messaging. .Creative Experiments: Loaded a lost-ending Chinese novel, agents role-played characters and generated a logical finale. .Easy setup: Deploy via Docker in minutes with any LLM API key. Pro tip: Simulate something wild like Elon Musk tweeting about Dogecoin 2.0 and spawn agent traders, influencers, and investors, generate real-time video clips of the frenzy to test moonshots or crashes risk-free. Traders are already winning big: Check this one on Polymarket - $120,000+ net profits from spot on SPX 500 bets, powered by MiroFish sims on historical data. His profile: polymarket.com/profile/%40moi… For effortless gains, try Kreo copy trading: Auto-mirror pros like him and ride their edges. Try here: @join" target="_blank" rel="nofollow noopener">kreo.app/@join Add his wallet: [0x17559efac103ac7f361be37ec0b93888d4c55aac] to [t.me/KreoPolyBot?st…] and start track/copy him. Repo: github.com/666ghj/MiroFish
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cvxv666@antpalkin

Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: @moisturizer?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@moisturizer?v… Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together.

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Ibragim
Ibragim@ibragim_bad·
@GovViz from the article: > The "task + scorer" combination is the RL environment. Think of it like a gym for the model. What do you mean by task and by env here?
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Ibragim
Ibragim@ibragim_bad·
If one automated filtered swe rl env costs: ~$500 per task Does it mean that SWE-rebench-V2 costs: ~32k tasks * 500 = $16 mln? and for additional tasks (need to build the Docker image) 126k*$500 = $63 mln? We are giving all of this for free, it is basically open + if you want to use them, we will also help and make sure that everything is correct (also for free), just dm So you can spend this money not on envs but on compute
Elliot Arledge@elliotarledge

x.com/i/article/2032…

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viren@GovViz·
@DevvMandal How granular are the action descriptions? I believe screenshot / action pair is the highest quality you can get here, not sure how useful LLM descriptions will be but curious to see
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Ibragim@ibragim_bad·
@GovViz from the article: > Contracting firm model: ~5 engineers for ~3 months = ~$300K fully loaded Output: ~200-400 high-quality environments Cost per environment: $750-1,500 so I used $500, which is even less than the cheapest contracting price
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viren@GovViz·
@elliotarledge Yea not sure, just comparing your idea vs the current system which seems like a team of devs creating an environment. in general I think high quality work requires a team and it seems difficult to assemble a high talent team in a distributed way, but if this can be solved huge W
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Nathan
Nathan@nathan_liow·
I'm excited to announce that I will be joining @coinbase in San Francisco this summer as a Software Engineering Intern on the @base team! Coinbase is at the forefront of the financial revolution, and I'm excited to help build the future alongside them. Grateful for this God-given opportunity.
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BRÆDEN
BRÆDEN@0xKyrie_Eleison·
This past weekend, my peers and I took first place in the Franklin Templeton Research Competition. In this, we pitched $META and subsequently MetaDAO in the Long category (<$250M MC). The event, hosted by @MBC_Conference, was such a unique experience I will never forget. I have put together an edited write-up which can be read through on my substack. Read the article: open.substack.com/pub/bvgradwell… Special thanks to @FTDA_US @artemis Also, some inspirers for our paper: @metaproph3t, @metanallok, @ChillTRD, @Futargamy, @airtightfish, @JW100x.
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Texas Blockchain
Texas Blockchain@txblockchain·
Over the past two months, 16 of our engineering students participated in @colosseum’s Cypherpunk hackathon to submit 8 different projects! We built in every category with products ranging from security to gaming. It was also the first time building on Solana for more than half of our participants, showing how easy it was to onboard them into the ecosystem! We’re extremely grateful for the support from @SolanaFndn, @college_xyz, and @heliuslabs to help build the future of Solana.
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viren@GovViz·
@Soul_s_Eye What are their options for converting their stablecoins to INR
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