This is exactly it. The approval loop is the entire product. Nobody cares how powerful your agent is if they're scared to let it run unsupervised. Human-in-the-loop isn't a limitation, it's the feature.
AI
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Customizing Agents with User-Defined Names
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I don't know how to answer that Yes that's the average income of a digital nomad Any group will have outliers on both sides: below and above average
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2026 AI Festival Submissions Open Across Creative Industries
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Submissions for the 2026 AI Festival are now open until April 20th.
— Runway (@runwayml) 24 mars 2026
This year's festival will celebrate works utilizing AI across Film, Design, New Media, Fashion, Advertising and Gaming.
Learn more and submit your project at the link below. pic.twitter.com/taDHKISHJySubmissions for the 2026 AI Festival are now open until April 20th. This year's festival will celebrate works utilizing AI across Film, Design, New Media, Fashion, Advertising and Gaming. Learn more and submit your project at the link below.
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Congressional AI Regulation: Guardrails vs Self-Regulation Balance
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Congress setting guardrails instead of companies self-regulating is exactly right. The details of the bill will matter a lot though, "guardrails" can mean anything from reasonable oversight to innovation-killing bureaucracy.
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Multi-Agent Software Engineering: Branch-and-Merge Coordination Strategies
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As long-horizon software engineering tasks grow in complexity, a single agent can no longer finish the tasks alone — effective multi-agent collaboration becomes necessary. This leads to a natural question: how can multiple agents be coordinated to asynchronously collaborate over a shared artifact in an effective way? We answer this question in our new preprint: Effective Strategies for Asynchronous Software Engineering Agents! We suggest that to coordinate multiple software engineering agents, branch-and-merge is the key coordination mechanism, and that human SWE primitives like git worktree, git commit, and git merge are all you need to support it. (1/n)
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cuVSLAM: GPU-Accelerated Visual SLAM for Real-Time Applications
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cuVSLAM: Accelerating Real-Time Visual SLAM With GPU Power
— Satya Mallick (@LearnOpenCV) 24 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore cuVSLAM, NVIDIA’s GPU-accelerated solution for visual simultaneous localization and mapping (SLAM). Designed for real-time applications like… pic.twitter.com/vc4Vfpkd1HcuVSLAM: Accelerating Real-Time Visual SLAM With GPU Power In this episode of Artificial Intelligence: Papers and Concepts, we explore cuVSLAM, NVIDIA’s GPU-accelerated solution for visual simultaneous localization and mapping (SLAM). Designed for real-time applications like
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HF Buckets as General-Purpose S3 Alternative Solution
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> Can HF Buckets be used a general-purpose alternative to S3 yes
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Agent 4 Buildathon: Idea to Launch in Three Weeks with Prizes
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3,000+ builders signed up! Three weeks to go from idea to launch. $57K+ in prizes. 🔥
— Replit ⠕ (@Replit) 24 mars 2026
The Agent 4 Buildathon kicks off today at 9 AM PT / 12 PM ET.
Join the livestream and start building! https://t.co/IGzVjF38FD3,000+ builders signed up! Three weeks to go from idea to launch. $57K+ in prizes. The Agent 4 Buildathon kicks off today at 9 AM PT / 12 PM ET. Join the livestream and start building!
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Cohere Named One of Fast Company’s Most Innovative Companies 2026
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We’re honored to be named one of @FastCompany's Most Innovative Companies of 2026! This recognition reflects our commitment to building secure, sovereign AI for enterprises and governments. Over the past year, we’ve deepened our focus on serving the unique needs of highly regulated industries—expanding what organizations can do with their protected data through North, our agentic platform for getting more work done. Learn more: fastcompany.com/91495412/art…
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LLM Development Progress Despite LeCun’s AGI Skepticism
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Despite Yann Lecun's statement that LLMs will not bring us to AGI, I would say that development is still progressing excellently!