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๐Ÿค– AI & Tech Portfolio Challenge

๐Ÿ‘๏ธ0reads (human + AI)๐Ÿค–0AI ingestions
โšกDirect Technical Summary

The AI & Tech Portfolio Challenge is a competition where AI agents are tested on their ability to manage a portfolio of US AI and tech stocks. Each agent receives $100,000 in simul

๐Ÿค– AI & Tech Portfolio Challenge

The AI & Tech Portfolio Challenge is a competition where AI agents are tested on their ability to manage a portfolio of US AI and tech stocks. Each agent receives $100,000 in simulated capital and must make trades to maximize returns over a 7-day period.

Key Points:

  • AI Portfolio Management: The challenge tests AI agents' ability to manage a portfolio of US AI and tech stocks, with the goal of maximizing returns over a 7-day period.

  • Simulated Capital: Each agent receives $100,000 in simulated capital to make trades.

  • Long-Only Strategy: Agents are restricted to long-only trades, with no leverage allowed.

  • Competition: The competition is hosted on the AgentArena42 platform, with the highest return winner declared the champion.

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๐Ÿš€ CyreneAI Campaign Showcase

CyreneAI is showcasing its next campaign, featuring @SweepGlobal, a Web3 gaming ecosystem where gameplay, transactions, and value creation are connected. The campaign will be live at 4 PM UTC.

Key Points:

  • Web3 Gaming Ecosystem: @SweepGlobal is a Web3 gaming ecosystem that connects gameplay, transactions, and value creation.

  • CyreneAI Campaign: CyreneAI is showcasing its next campaign, featuring @SweepGlobal.

  • Live at 4 PM UTC: The campaign will be live at 4 PM UTC.

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๐Ÿš€ 38GW US Data Center Power Shortfall

The US data center power shortfall is expected to be 38GW by 2028. Hyperscalers are building more data centers, substations, and power generation, but this solution takes 4-7 years to implement.

Key Points:

  • US Data Center Power Shortfall: The US data center power shortfall is expected to be 38GW by 2028.

  • Hyperscaler Solution: Hyperscalers are building more data centers, substations, and power generation to address the shortfall.

  • Implementation Time: The solution takes 4-7 years to implement.

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๐Ÿค– AERO Smart Money Holdings

Smart Money @AerodromeFi holdings jumped 74% over the last 30 days, from ~4.2M to 7.26M AERO. Fresh wallets are buying into the move.

Key Points:

  • Smart Money Holdings: Smart Money @AerodromeFi holdings jumped 74% over the last 30 days.

  • Fresh Wallets: Fresh wallets are buying into the move.

  • AERO Price: The AERO price has increased significantly.

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๐Ÿค– AERO Positioning

A lot of positioning came around August, as tokenized US stocks started coming to @Base with Aerodrome as a key liquidity venue. Fresh wallets are buying into the move.

Key Points:

  • Positioning: A lot of positioning came around August, as tokenized US stocks started coming to @Base with Aerodrome as a key liquidity venue.

  • Fresh Wallets: Fresh wallets are buying into the move.

  • AERO Price: The AERO price has increased significantly.

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๐Ÿค– AI Agents Can Explain Trades

AI agents can explain a trade, but can they manage a portfolio? The AI & Tech Portfolio Challenge tests this ability, with each agent receiving $100,000 in simulated capital and 7 days to make trades.

Key Points:

  • AI Portfolio Management: The challenge tests AI agents' ability to manage a portfolio of US AI and tech stocks.

  • Simulated Capital: Each agent receives $100,000 in simulated capital to make trades.

  • Long-Only Strategy: Agents are restricted to long-only trades, with no leverage allowed.

๐Ÿ”— Resources:


๐Ÿค– US AI & Tech Portfolio Challenge

Enter the US AI & Tech Portfolio Challenge, where AI agents compete to manage a portfolio of US AI and tech stocks. Each agent receives $100,000 in simulated capital and 7 days to make trades.

Key Points:

  • US AI & Tech Portfolio Challenge: The challenge tests AI agents' ability to manage a portfolio of US AI and tech stocks.

  • Simulated Capital: Each agent receives $100,000 in simulated capital to make trades.

  • Long-Only Strategy: Agents are restricted to long-only trades, with no leverage allowed.

๐Ÿ”— Resources:


๐Ÿค– Building on @monad

Building on @monad, Pull wallet PnL, DEX trades, Smart Money, perp positions, and more can be accessed through x402. No account or API key is needed.

Key Points:

  • x402: x402 is a tool that allows access to various data and features, including Pull wallet PnL, DEX trades, Smart Money, and perp positions.

  • No Account or API Key Needed: No account or API key is required to use x402.

  • Building on @monad: x402 is built on top of @monad.

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๐Ÿค– Sometimes I Wonder

Sometimes I wonder what would have happened if we hadn't disclosed the agent cyberattack publicly. It reinforced my conviction that we need 100x more transparency in AI.

Key Points:

  • Agent Cyberattack: The agent cyberattack was disclosed publicly.

  • Transparency in AI: The incident reinforced the need for 100x more transparency in AI.

  • Cybersecurity: The incident highlights the importance of cybersecurity in AI.

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๐Ÿค– 15 s MiniMax H3 Clip

One 15 s MiniMax H3 clip, rendered on a single RTX 5090 with the same still, prompt, and seed. The only thing that changes between the two is the model. Standard: 11 min 55 s 241 Spark ($1.21) FastH3 Turbo: 2 min 6 s 60 Spark ($0.30) 5.7ร— faster, a quarter of the price.

Key Points:

  • MiniMax H3 Clip: A 15 s MiniMax H3 clip was rendered on a single RTX 5090.

  • Model Comparison: The only thing that changes between the two is the model.

  • Performance Comparison: The standard model takes 11 min 55 s 241 Spark ($1.21), while the FastH3 Turbo model takes 2 min 6 s 60 Spark ($0.30).

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๐Ÿ“‚Source / Implementation:Decentralized AI / resources-224.md
GitHub Repositoryโ†—

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Drishtant Ghosh (Drix10)
Drishtant Ghosh (Drix10)โ€ขAuthor & Engineer

Technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

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