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Async RL decouples rollouts from training, and that’s why Echo-2 is so efficient. Distributed actors on Echo-2 collect rollouts on their own schedule while the learner updates continuously. Less waiting. Higher throughput. Here’s an illustration👇

Gradient

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we just released a new blog "Training a coding agent using the OpenCode harness in remote HF sandboxes with TRL and OpenEnv" you can take a real coding agent (OpenCode), let it run its own tool loop against real coding problems, and train it with RL on the exact tokens it produced and every rollout runs in its own remote HF sandbox, so rollouts scale out beyond one machine the loop: - OpenCode owns its tool loop inside an OpenEnv sandbox - an in-sandbox proxy records the real token ids + logprobs, per turn - a hidden-test verifier scores the result, and that is the reward - TRL trains with AsyncGRPO, weights sync back to vLLM over NCCL blog + runnable example:

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Prince

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RL is painfully slow 😭 — bottlenecked by super-long CoT rollout. 🔭 Sparse attention should help, but naive sparse rollout hits a brutal efficiency–stability tradeoff: A tedious trial-and-error sparsity sweep for each dense policy is required before an actual RL run. 🐤Sparrow chirps no more pain! Introduce Sparrow: Sparse Rollout for stable and efficient long-context RL. Sparrow finds that: 💡As long as we keep the tail distribution mismatch throughout the sparse rollout above a critical threshold, the RL training will be stable. 💡Even cooler! Through comprehensive control studies of Qwen3-1.7B, 4B, 8B thinking models RL with 40K rollout max length, the critical threshold stays constant across model sizes. 💡Sparrow then finds the optimal dynamic sparse schedule to reach the threshold with minimal cost. 💡Sparrow's findings are empirically validated to generalize in Qwen3-14B, and hold on both Math and Coding RL. 🐤Sparrow empirically helps achieve 2.2× / 2.4× / 2.0× rollout speedup on Qwen3 1.7B / 4B / 8B thinking models, while keeping training stability over extended RL steps. We release the 🐤bird in the following formats. [1/n] Paper: Code: Blog:

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Infini-AI-Lab

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3. Mojeek Mojeek is a unique search engine that stands apart by offering its own independent search index, rather than relying on data from other engines. With a strong focus on privacy, Mojeek doesn’t track users, collect personal information, or target ads based on search history. It’s a great option for users who value both transparency and autonomy in their search experience, providing an alternative to mainstream search engines while still delivering relevant, unbiased results from its growing index of the web.

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May be the most difficult hurdle for a wrestler to clear—trusting that the same offense that built the lead is what protects it. The instinct is to protect the lead, but the approach that creates better odds, less regret, and is simply more logical is to keep wrestling the same way that created the lead. Stay on the attack, stay in position, and keep applying pressure. The one who needs to change and create opportunity is the opponent who is losing. So why would you go ahead and assist them in this by back peddling and lead protecting, opening up two windows that weren’t there before? 1 – Stall points 2 – Allowing your opponent to solely focus on their offense as they no longer have to respect your attacks. You hear wrestlers in post-match interviews “We do this all the time in the room! Down 2 with 30 seconds left and working to find a takedown.” Not so much the opposite… “up 2 with 30 seconds left and just have to find ways to back up to protect the lead!” So why resort to something you don’t practice in the most crucial moments of a match—or your season? This is from the excellent series “The Climb” by Stilly Boys on YouTube — a segment from Episode 2: Road to the Big 12s.

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ALCHEMIST AI 🔮

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Apranik 🇮🇷🇮🇱

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The number of YouTube channels earning six figures or more in revenue from TV is up 45% year over year. Excited to announce new updates to help YouTubecreators get even more out of our fastest-growing screen: ⬆️ An increased thumbnail file size limit (from 2MB to 50MB) so you can upload crisp, high-quality 4K thumbnails that pop on TV ☀️ Higher resolution videos to make your entire back catalog shine (with the option to opt out) 📺 Immersive channel pages on more surfaces so viewers can find and enjoy your content more easily 👇

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Neal Mohan

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Rittenhouse Research

44,085 Aufrufe • vor 10 Monaten

For those still confused about tax tokens and think the distributor wallet is "farming," here’s a simple breakdown: 1. Every transaction is taxed — for example, our token has a 10% tax. 2. A distribution wallet collects these taxed tokens and sells them automatically every 5 minutes. 3. The funds from those sales are then either sent in SOL or swapped to a reward token and distributed: part goes to holders, part to the team. 4. All percentages for each token are clearly listed on our website for full transparency. That’s why you might see one wallet (the distributor) selling large amounts without buying — it’s part of the reward system. Hope that clears it up.

For those still confused about tax tokens and think the distributor wallet is "farming," here’s a simple breakdown: 1. Every transaction is taxed — for example, our token has a 10% tax. 2. A distribution wallet collects these taxed tokens and sells them automatically every 5 minutes. 3. The funds from those sales are then either sent in SOL or swapped to a reward token and distributed: part goes to holders, part to the team. 4. All percentages for each token are clearly listed on our website for full transparency. That’s why you might see one wallet (the distributor) selling large amounts without buying — it’s part of the reward system. Hope that clears it up.

RevShare

70,037 Aufrufe • vor 1 Jahr

THIS CHINESE TRADER BUILT AN AI AGENT IN 2 HOURS AND LET IT TRADE A $70K ACCOUNT FOR 72 HOURS STRAIGHT he opened Bloome, wrote his trading rules in plain English, picked the signals, set risk limits and let the agent run on its own for 3 days it scans the market, filters setups, manages exposure and executes trades without him sitting there watching every candle most traders still hesitate on entries, close positions from panic and refresh charts all day he just built the system once and let it trade without emotion this is probably where trading goes next: less screen time, more agents, more systems that don’t break their own rules

THIS CHINESE TRADER BUILT AN AI AGENT IN 2 HOURS AND LET IT TRADE A $70K ACCOUNT FOR 72 HOURS STRAIGHT he opened Bloome, wrote his trading rules in plain English, picked the signals, set risk limits and let the agent run on its own for 3 days it scans the market, filters setups, manages exposure and executes trades without him sitting there watching every candle most traders still hesitate on entries, close positions from panic and refresh charts all day he just built the system once and let it trade without emotion this is probably where trading goes next: less screen time, more agents, more systems that don’t break their own rules

Gipp 🦅

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I built an ios app that lets you setup an open claw agent from your phone in less than 30 seconds. My mom has an open claw assistant now. No api keys, no vps, no setup, no mac mini. You just log in and its spins up your own ai agent. Most people don't understand how open claw is different from chat gpt. I am building one tap skills so that anyone can outsource their work and organize their life. People spend $2500 a month on tokens. I am adding cost efficient models with one tap switching so you don't waste your money. Most of these simple setup claw projects are completely unsafe, I have passed apple review and am working with world class security professionals to keep your data safe.

I built an ios app that lets you setup an open claw agent from your phone in less than 30 seconds. My mom has an open claw assistant now. No api keys, no vps, no setup, no mac mini. You just log in and its spins up your own ai agent. Most people don't understand how open claw is different from chat gpt. I am building one tap skills so that anyone can outsource their work and organize their life. People spend $2500 a month on tokens. I am adding cost efficient models with one tap switching so you don't waste your money. Most of these simple setup claw projects are completely unsafe, I have passed apple review and am working with world class security professionals to keep your data safe.

Max Blade

26,095 Aufrufe • vor 5 Monaten