agent
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Design Agent by Lokuma Topped Product Hunt With a Simple Pitch: AI Agents Need Designers Too
AI agents can write code, draft emails, research markets, and deploy apps. But ask one to build a landing page that actually looks good? The output usually screams “AI made this.” Centered text, generic spacing, no visual hierarchy — functional, sure, but not designed. Design Agent by Lokuma launched on Product Hunt on March 21,… Continue reading
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From 35% to 80% on WebVoyager: Holotron-12B Sets a New Bar for Open-Source Computer-Use Agents
The race to build AI agents that can actually operate a computer — clicking buttons, filling forms, navigating websites — has been dominated by closed-source giants. Anthropic’s Claude Computer Use and OpenAI’s Operator have set the pace, but they come with API costs, usage limits, and zero visibility into the model weights. That changed on… Continue reading
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397 Billion Parameters on a 48GB MacBook: Flash-MoE Turns Apple’s 2023 Research into Reality
A 397-billion-parameter model running at 4.4 tokens per second on a laptop with 48GB of RAM. No cloud API. No multi-GPU server. Just a MacBook Pro, an NVMe SSD, and about 7,000 lines of C and Metal code that nobody wrote by hand. Flash-MoE landed on Hacker News and GitHub Trending this week, and the… Continue reading
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Sashiko Caught 53% of Linux Kernel Bugs That Every Human Reviewer Missed
The Linux kernel receives thousands of patches every month. A small, overworked group of maintainers reviews each one — and inevitably, bugs slip through. Now a Google engineer has open-sourced an AI system that found more than half of those missed bugs, and the open-source community is divided on what that means. Sashiko, built by… Continue reading
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Understand-Anything scores 2,400 GitHub stars by mapping codebases with five AI agents
Every developer knows the feeling. You join a new team, clone the repo, and stare at 200,000 lines of code spread across hundreds of files. The README is six months out of date. The architecture docs reference services that no longer exist. Your only option is to grep your way through the codebase and hope… Continue reading
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George Hotz Wants to Sell You a $12,000 AI Supercomputer — and 221 Hacker News Comments Can’t Stop Arguing About It
The idea of running a 120-billion-parameter model in your own office, with zero cloud dependency, sounds like a pipe dream. George Hotz — the teenager who once jailbroke the first iPhone and hacked the PS3 — thinks it should be as normal as buying a workstation. His company, tiny corp, ships the Tinybox: a line… Continue reading
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Daytona Ditched $300K in Revenue to Build Computers for AI Agents — and Hit $1M ARR in Under 90 Days
Most founders hold on to revenue like a lifeline. Ivan Burazin threw his away. In mid-2025, Burazin and his team at Daytona were running a respectable open-source dev environment manager — standardized workspaces, one-command setup, an enterprise-grade Codespaces alternative. It was growing. It had paying customers. It had $300K in annual recurring revenue. Then they… Continue reading
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Tiiny AI Pocket Lab Raised $1M in 5 Hours — But Can a 300g Device Really Replace the Cloud?
A pocket-sized box weighing less than two iPhones claims to run 120-billion-parameter AI models without an internet connection. Tiiny AI Pocket Lab hit $1 million on Kickstarter in five hours, earned a Guinness World Record, and attracted coverage from TechRadar, WCCFtech, and TweakTown. It also attracted a wave of technical scrutiny that raises real questions… Continue reading
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ChatGPT Ads Pilot: $60 CPM, $200K Minimums, and Advertisers Already Pushing Back
OpenAI is six weeks into selling ads inside ChatGPT. The early numbers tell a conflicted story: a $60 CPM that’s roughly 3x Meta’s average, a $200,000 minimum buy-in for what’s essentially a beta test, and a rollout so slow that some of the biggest advertising agencies in the world are questioning whether they’ll get enough… Continue reading
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Meta Omnilingual MT Covers 1,600 Languages — 8x More Than Google Translate
Most AI translation tools top out around 200-250 languages. Google Translate, arguably the most widely used translation service on the planet, supports 249. Meta’s earlier NLLB (No Language Left Behind) project covered about 200. And beyond that threshold, translation quality for traditional systems degrades rapidly — most break down entirely after 300-400 languages. Meta’s new… Continue reading
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