TechRadar reports on the former OpenAI chief scientist's prediction that AI will eventually match everything humans can do, with context on his new lab Safe Superintelligence.
From the site: Scientists predict that AI will one day be able to outdo humans on not just some, but all, tasks that we currently excel in
Why I recommend it: Free to read with ads. It is a prediction from someone who runs a superintelligence company, reported second-hand — interesting as a position, not as evidence.
Free edition of IDA for disassembly and decompilation with feature limitations. Hex-Rays limits this edition to non-commercial use; commercial use requires a different license.
Microsoft press page introducing the Azure Maia 300, its second-generation custom AI accelerator chip, with links to architecture details and deployment plans.
A live weekday technology news and talk show broadcast on X at 9:00 a.m. Pacific, covering the people, products, markets, and online conversations shaping the technology industry. The site hosts an on-demand episode archive with chapters, summaries, guests, and source links, plus a guest directory, upcoming broadcast schedule, a running Situations briefing of stories the show is tracking, and a public API.
The methodology page for the TIOBE Programming Community Index, a monthly measure of programming language popularity calculated from search engine result counts for queries like "+<language> programming." The page explains which search engines qualify, which languages are included, and how ratings are calculated. The current index is free; long-term historical data is sold.
Why I recommend it: TIOBE measures search chatter, not code quality or job postings — read it as a popularity signal, not a skills roadmap. Pair it with job board data before advising anyone on which language to learn.
The personal site and blog of a Toronto-based open source developer known for Amfora, a terminal browser for the Gemini protocol, and for image dithering tools (dither, didder, Dithertime). Posts cover small-internet protocols, open source projects, voting systems, and software design. Free to read.
Why I recommend it: A good example of the "small web" corner of the internet: one person, useful open source tools, thoughtful writing. Follow if you are interested in protocols and software outside the big platforms.
Stanford HAI's annual flagship report tracking AI progress across research, the economy, education, policy, and public opinion. The 2025 edition compiles data on model capability, training costs, industry investment, and workforce effects, with downloadable charts and datasets.
Why I recommend it: Free to download from Stanford HAI. It is a self-published report from a university institute; figures are sourced within the report, but some industry-investment and capability numbers rely on data supplied by the companies being measured. Treat headline rankings as the report's own synthesis, not neutral fact.
