Decentralized AIโ€ขโ€ข7 min readโ€ข1307 words

๐Ÿค– AI in Sports - Fan Engagement with AI Assistants

โšกDirect Technical Summary

Theta Labs and @dcunited have agreed to a multi-year partnership that puts a club-trained AI assistant in the hands of Black-and-Red supporters, answering their questions instantly

๐Ÿค– AI in Sports - Fan Engagement with AI Assistants

Theta Labs and @dcunited have agreed to a multi-year partnership that puts a club-trained AI assistant in the hands of Black-and-Red supporters, answering their questions instantly, 24/7, in the club's own voice.

Key Points:

  • **

  • AI-powered Fan Engagement: Theta Labs' AI assistant provides real-time support to DC United fans, enhancing their overall experience.

  • 24/7 Support: The AI assistant is available around the clock, ensuring that fans have access to information and support whenever they need it.

  • Personalized Experience: The AI assistant is trained on club-specific data, providing a personalized experience for each fan.

Actionable Takeaway:

  • Consider integrating AI-powered: assistants into your sports organization to enhance fan engagement and provide a more personalized experience.

๐Ÿ”— Resources:


๐Ÿค– AI in Sports - Wider Adoption of Fan-facing AI

This is our third @MLS deployment, after the @SJEarthquakes & @PhilaUnion , and part of a wider group of clubs and leagues running fan-facing AI on Theta EdgeCloud. Read more from @dcunited :

Key Points:

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  • Wider Adoption of Fan-facing AI: Theta Labs' fan-facing AI is being adopted by multiple MLS teams, including DC United, San Jose Earthquakes, and Philadelphia Union.

  • Theta EdgeCloud: The fan-facing AI is running on Theta EdgeCloud, providing a scalable and secure infrastructure for the AI applications.

  • MLS Deployment: The fan-facing AI is being deployed across multiple MLS teams, enhancing the overall fan experience.

Actionable Takeaway:

  • Consider adopting fan-facing: AI solutions to enhance the fan experience and increase engagement.

๐Ÿค– AI in Finance - Early Access to Arc

Now your AI agents can use @arc (+ other chains & rails), controlled by rules you set. Here, our agent requests a $10/day budget, gets approved, and goes to work. Early Access is now open for a limited time. Sign up, try Arc, and you could get up to $50 for your agent's

Key Points:

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  • Early Access to Arc: Catena Labs is offering early access to Arc, allowing users to try out the platform and its features.

  • AI Agents: The AI agents can use Arc to request budgets and go to work, providing a hands-on experience with the platform.

  • Rules-based Control: The AI agents are controlled by rules set by the user, providing a high degree of flexibility and customization.

Actionable Takeaway:

  • Consider signing up: for early access to Arc to try out the platform and its features.

๐Ÿค– AI in Finance - Property Testing

This is on point. For the new real-time rewards version of @aoTheComputer 's mint we built Lean formal proofs of each of the relevant property of the system (paper [1]). Model verification is often not enough alone, though. Property Testing fills in many gaps. Deep dive

Key Points:

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  • Lean Formal Proofs: Samec Williams built Lean formal proofs of each relevant property of the system, providing a high degree of mathematical rigor and certainty.

  • Property Testing: Property testing is used to fill in gaps left by model verification, providing a more comprehensive understanding of the system.

  • Real-time Rewards: The new real-time rewards version of aoTheComputer's mint uses Lean formal proofs and property testing to ensure the system's correctness.

Actionable Takeaway:

  • Consider using Lean: formal proofs and property testing to ensure the correctness of your system.

๐Ÿค– AI in HPC - Interconnect Bottlenecks

NVLink runs at 900 GB/s between GPUs. PCIe Gen5 x16 runs at about 64 GB/s CPU-to-GPU, roughly 14x slower. If your training job depends on frequent CPU-GPU transfers, the interconnect is your bottleneck before the GPU ever is. DDR5 quad-channel system RAM tops out around 90 GB/s,

Key Points:

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  • Interconnect Bottlenecks: The interconnect between GPUs can be a bottleneck in HPC applications, particularly when CPU-GPU transfers are frequent.

  • NVLink: NVLink runs at 900 GB/s between GPUs, providing a high-speed interconnect.

  • PCIe Gen5 x16: PCIe Gen5 x16 runs at about 64 GB/s CPU-to-GPU, roughly 14x slower than NVLink.

Actionable Takeaway:

  • Consider optimizing your: HPC application to minimize CPU-GPU transfers and reduce interconnect bottlenecks.

๐Ÿค– AI in Robotics - Failure Analysis

Finding the cause of repeated failures is what lets a robotics team improve the system. A ten percent failure rate measures the problem, but it does not identify the cause. Grouping those failures can show whether they share a specific condition, such as gripper slippage or poor

Key Points:

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  • Failure Analysis: Failure analysis is crucial in robotics to identify the cause of repeated failures and improve the system.

  • Failure Rate: A ten percent failure rate measures the problem, but does not identify the cause.

  • Grouping Failures: Grouping failures can show whether they share a specific condition, such as gripper slippage or poor.

Actionable Takeaway:

  • Consider using failure: analysis to identify the cause of repeated failures and improve your robotics system.

๐Ÿค– AI in Graphics - MiniMax H3 Max

Start creating privately with MiniMax H3 Max in Venice Studio. 50% off for a limited time.

Key Points:

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  • MiniMax H3 Max: MiniMax H3 Max is a new feature in Venice Studio that allows users to create privately.

  • 50% Off: The feature is available at 50% off for a limited time.

  • Venice Studio: Venice Studio is a platform for creating 3D graphics.

Actionable Takeaway:

  • Consider using MiniMax: H3 Max in Venice Studio to create privately.

๐Ÿค– AI in Inference - Inference Net on Vercel AI Gateway

excited to share that @inference_net is officially live on the @vercel ai gateway! https:// vercel.com/ai-gateway/mod els?providers=inference-net โ€ฆ

Key Points:

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  • Inference Net: Inference Net is a new feature on Vercel AI Gateway that allows users to run inference models.

  • Vercel AI Gateway: Vercel AI Gateway is a platform for running AI models.

  • Inference Models: Inference models are used to make predictions based on input data.

Actionable Takeaway:

  • Consider using Inference: Net on Vercel AI Gateway to run inference models.

๐Ÿค– AI in Finance - Inference Net Growth

My dear friends, at our current growth rate @inference_net will cross $10M ARR at precisely 6pm on Oct 1, 2026 to celebrate, we've rented a 140 seat movie theatre for a private screening of Interstellar join us for a evening of vibes and fun

Key Points:

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  • Inference Net Growth: Inference Net is growing rapidly, with a projected ARR of $10M.

  • Private Screening: The company is celebrating its growth with a private screening of Interstellar.

  • 140 Seat Movie Theatre: The screening will take place in a 140 seat movie theatre.

Actionable Takeaway:

  • Consider using Inference: Net for your AI needs.

๐Ÿค– AI in Finance - Tangem Pay Funding

Tangem Pay just got easier to fund. $USDT is now supported for top-ups, alongside $USDC , on Base, Arbitrum, BNB Smart Chain, and Polygon. Two ways you can top up: > Swap from your Tangem Wallet to spending account 1:1, no spread, powered by @LiFiprotocol . > Transfer from an

Key Points:

  • **

  • Tangem Pay Funding: Tangem Pay has made it easier to fund, with the addition of $USDT for top-ups.

  • $USDT: $USDT is now supported for top-ups, alongside $USDC.

  • Base, Arbitrum, BNB Smart Chain, and Polygon: The top-ups are available on Base, Arbitrum, BNB Smart Chain, and Polygon.

Actionable Takeaway:

  • Consider using Tangem: Pay for your funding needs.
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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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