ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment Li et al.: arxiv.org/abs/2601.21484 #AIAgents #ReinforcementLearning [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-05 14:56 UTC

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ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment Li et al.: arxiv.org/abs/2601.21484 #AIAgents #ReinforcementLearning [Translated from EN to English]
→ View original post on X — @ceobillionaire, 2026-04-05 14:56 UTC
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Yup – If you want your agent to feel human and to get a lot done it has a steep true price right now As people get better at setting up agents providers will throttle usage and dial in their pricing so they don’t lose money Running local models will be key to AI autonomy Ryan Carson (@ryancarson) The cost to run a truly useful Chief of Staff @openclaw on Opus 4.6 is $100-200 per day on the API. — https://nitter.net/ryancarson/status/2040730811805118633#m
→ View original post on X — @clementdelangue, 2026-04-05 14:52 UTC
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source: teddit.net/r/robotics/comments/1scemxg/robots_are_starting_to_enter_one_of_the_most/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button [Translated from EN to English]
→ View original post on X — @kimmonismus, 2026-04-05 14:47 UTC
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Terminal features have become a standard feature
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You got the stats from Lehman Brothers?
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quotes? what do you mean by back then? eg 2023 in the Senate? 2024 in my book taming silicon valley? 2022 in my essay on AI’s jurassic park? 2019 my book rebooting AI? i have been warning about the dangers (though not extinction) for years. no idea what you are talking about
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#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
by @measure_plan #ArtificialIntelligence #MachineLearning #ML

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If you found it useful, reshare it with your network Follow me → @Sumanth_077 for more insights and tutorials on AI Engineering! nitter.net/Sumanth_077/status/204… Sumanth (@Sumanth_077) Massive breakthrough in voice deepfake detection! @modulate_ai just released a deepfake detection API that topped @huggingface's leaderboard at 98.9% accuracy. Here's the problem with how most companies handle deepfake detection. They check the first 10 seconds of a call. If it passes, they assume the whole call is clean. Gate check. One scan. Done. Fraudsters know this. So they open the call with a real voice. Their own voice, a colleague, a quick recording. Pass the check. Then switch to the AI-generated clone mid-call. The system already gave them the green light. They're through. The fix is obvious. Monitor the entire call. Not just the opening. Not random spot checks. Every segment, continuously, in real-time. But that was too expensive. Until now. Velma is Modulate's real-time and batch deepfake detection API. Here's what changed. • Real-time streaming detection. Analyzes audio every 2 seconds during live calls. Catches mid-call voice switches instantly. • 120x cheaper than competitors. $0.25 per hour instead of $30-150. Now you can actually afford to monitor full conversations instead of spot-checking. • Only needs 2.5 seconds of audio. Faster detection, works with short segments. • 98.9% accuracy, ranked first on HuggingFace. Lower error rate than models 10x larger. First 1000 API credits are free. I've shared the link in the replies! — https://nitter.net/Sumanth_077/status/2040793953927311527#m
→ View original post on X — @sumanth_077, 2026-04-05 14:12 UTC

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Checkout Modulate: modulate.ai/api/deepfake-det…
→ View original post on X — @sumanth_077, 2026-04-05 14:09 UTC