An AI agent destroyed this coder’s entire database. He’s not the only one with a horror story - Fortune
<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTE8zZUpHYjF1VkEwQXQwZG43VHVUYmpZNkpicUFNbElMVHdyMm9TcGJ5SzgzVzFEdV9zcVRzLWJrb3FQT2ZnYkE0LUJkaGhRODRqcHI2V0VSRHB1ZWF6NW1zRHZwUmV6Y1o0S3F5dkJiWlBsR1lVb2o5Qml0UDI?oc=5" target="_blank">An AI agent destroyed this coder’s entire database. He’s not the only one with a horror story</a> <font color="#6f6f6f">Fortune</font>
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Anthropic closes door on subscription use of OpenClaw
The company is having trouble meeting user demand OpenClaw is popular, but not with the people responsible for keeping Anthropic’s services online. The company has disallowed subscription-based pricing for users who use the open-source agentic tool with Claude to try to keep things moving.…

The Garden
The mandate had been given by God that morning, and Nathanael and Amon had arrived in the nascent realm to shape His will. The task was simple: creation, in all its perfection. As divine as this instruction was, it did demand a great deal of creativity on the part of his favourite agents. Helpfully, He had gotten them started with all of the matter and energy that they would need. Indeed the task was arguably trivial in that they had only a single universe to tend to, the others being helpfully tended to by myriad other angels. They quickly got to work, shaping all the countless galaxies and stars, which took no time at all, and then focused on the most important task of all. Creating paradise on earth. The earth started as a great brown ball, covered in water. To give it shape and colour
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Researchers train living rat neurons to perform real-time AI computations — experiments could pave the way for new brain-machine interfaces - Tom's Hardware
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Researchers train living rat neurons to perform real-time AI computations — experiments could pave the way for new brain-machine interfaces
Researchers train living rat neurons to perform real-time AI computations — experiments could pave the way for new brain-machine interfaces

I Built a GitHub-Style Contribution Calendar That Shows When My AI Works Without Me
GitHub's contribution calendar shows when you coded. But what if half those green squares weren't actually you? I built cc-calendar — a terminal tool that renders a GitHub-style activity graph for your Claude Code sessions. Two rows: YOU (cyan) and AI (yellow). Ghost Days — when AI ran autonomously while you had zero interactive sessions — glow bright. The output $ npx cc-calendar cc-calendar — AI草カレンダー ══════════════════════════════════════════════════ Jan Feb Mar Sun ░░░░░▒░░░ Sun ░▒▒▒▓█▓█▒ Mon ░░░░░░░░░ Mon ░▒▒▒▓██▓░ Tue ░░░░░▒░░░ Tue ░▒▒▒▒▓▓▓░ Wed ░░░░▒░░░░ Wed ░▒▓▒▒▓▓▓░ Thu ░░░░░░██░ Thu ░▓▒▒▒▒▓▒░ Fri ░░░░░░█░░ Fri ░▒░█▒▒▓▒░ Sat ░░░░▒░░█░ Sat ▒░░▒▓▒▓█░ █ You █ AI █ Ghost Day ░▒▓█ = none→light→heavy ▸ Period: 2026-01-10 → 2026-03-01 ▸ Active Days: 48 total ├─ Both active: 8 days ├─ You

Please add New hardware the AMD ai pro R9700 "My GPU"
Please add “AMD Radeon AI PRO R9700” to “My Hardware” Specs: GPU Memory: Volume Memory - 32GB Memory Type - GDDR6 AMD Infinity Push Technology - 64 MB Memory Interface - 256-bit Max Memory Letters - 640 GB/s GPU: AMD RDNA™ 4 Execution Accelerators - 64 Against AI Accelerators - 128 Streams - Processors 4096 Compute Units - 64 Boost Ads - Up to 2920MHz Gameplay - 2350MHz Max Charged Speed - Up to 373.76 GP/s Max Single Precision (FP32 Vector) Performance - 47.8 TFLOPs Max Half Precision (FP16 Vector) Performance - 95.7 TFLOPs Max Half Precision (FP16 Matrix) Performance - 191 TFLOPs Gain Structural Spurtity Max Half-Precision (FP16 Matrix) Performance - 383 TFLOPs Max 8-Bit Performance (FP8 Matrix) (E5M2, E4M3) - 383 TFLOPs 8-Bit Performance (FP8 Matrix) with Structured Spursity (E5M2, E4


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