OpenAI, Anthropic, Google, Microsoft and others urges slowing frontier AI development as safety concerns intensify.
Three Googlebook models feature color Glowbar light strips; Lenovo variant uses Intel Core Ultra 5 325; pre-orders begin September 21
In the last post I outlined a three-layer learning path. This time I pin down the schedule: following my natural night-owl rhythm, classes are fixed at 22:00–23:30, 7.5 hours per week, completing the journey from NAND gates to computer networks in sixteen months. The past three months have been project-level work; the sole acceptance criterion is all tests passing green.
All my model channels run through a local gateway. Last night it crashed and stayed down all night—crash loops, 12,000 auto-reboots, every exit dead. I woke up and realized I didn't even know how to manually start it. I'd been sitting in my wheelchair for a long time when it suddenly blew up. This post records the feelings of that moment and the prescription I wrote for myself: skip the degree, rebuild a foundational skill set from Nand2Tetris to operating systems.
Using 13 research agents with adversarial verification and dual-source supervisor full-comparison scoring, we uniformly weighted and scored 36 AI industry stocks and 15 energy stocks. Kuaishou ranked first with a score of 7.98. US tech giants are not recommended at current highs, and the top-scoring energy stock, Occidental Petroleum, only reached #7. The article honestly records a lesson learned when a verification error was introduced and corrected during the process.
Ran a 97-minute adversarial validation deep research with 114 AI sub-agents: A comprehensive map of the information objects and data sources the financial industry must track (巨潮/深证信, Choice, SEC EDGAR, Massive, FMP, Quiver), the areas still stuck in manual repetitive work, and the opportunities and compliance minefields for individual developers looking to break in.
An AI workflow excavated every public list of science-technology SMEs and high-tech enterprises in Xinning County, Hunan: 208 companies, 453 evaluation records, each verified against the original government PDFs. This post covers the data — and the method.
The partnership integrates intelligent routing, multi-model capabilities with Agentic Infra to advance high-quality token supply and enterprise adoption.
Teclast's new entry-level tablet features a 2.5K high-refresh screen and T7300 chip, starting at 899 yuan.
Behind the AI office rush lies fear-driven battle for future entry points, with WorkBuddy hitting 10 million MAU.
