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Qwenputer: A functioning, deterministic RISC-V CPU inside Qwen3.5(divagr.com)
666 points by csmantle | 140 comments
Blog post describing Qwenputer, a Qwen3.5 4B model with a RISC-V CPU compiled into its weights that uses Gated DeltaNet layers as RAM to run code internally.
The Gentle Singularity(blog.samaltman.com)
204 points by firloop | 336 comments
AI (2014)(blog.samaltman.com)
48 points by bjornroberg | 34 comments
It's the memory latency, stupid(pivotlake.io)
238 points by ntur1337 | 76 comments
A Pivot engineering blog post explaining how radix partitioning speeds up GROUP BY aggregation by improving CPU cache utilization, with perf counter measurements.
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Open Source is one person(opensourcesecurity.io)
325 points by LawnGnome | 132 comments
Blog post by Josh Bressers on Open Source Security arguing that many open source projects are maintained by a single person.
AI Made Writing Code Easier. It Made Being an Engineer Harder(ivanturkovic.com)
343 points by saikatsg | 242 comments
Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.
The path to ubiquitous AI (17k tokens/sec)(taalas.com)
804 points by sidnarsipur | 436 comments
Taalas blog post by Ljubisa Bajic arguing that latency and cost limit AI adoption and presenting its approach to very fast (17k tokens/sec) inference hardware.
Artificial intelligence is losing hype(economist.com)
453 points by bx376 | 663 comments
An Economist Free exchange column arguing that artificial intelligence is losing hype and asking whether that signals the technology will eventually succeed.
Coding expertise is going to collapse from AI reliance(larsfaye.com)
490 points by larsfaye | 479 comments
Blog essay by Lars Faye arguing that reliance on AI coding tools removes the friction needed to develop long-term programming expertise.
The new skill in AI is not prompting, it's context engineering(philschmid.de)
832 points by robotswantdata | 467 comments
Blog post by Philipp Schmid arguing that context engineering, supplying LLMs with the right information and tools, matters more than prompting for AI agents.












