Page 4 of 14.
Archive
2026
A Correct Query Can Still Answer the Wrong Question
Michael Stonebraker and Peter Baile Chen argue LLMs are not ready to let anyone reliably query enterprise data in ordinary language—because the dangerous SQL runs successfully, returns plausible numbers, and answers the wrong question with the appearance of authority.
Inspired by cacm.acm.org · Michael Stonebraker
Safari Is Testing BigInt Math Early
Safari Technology Preview 248 adds experimental TC39 BigInt Math and WebDriver support for the Digital Credentials API—asking whether browsers should ship Stage 1 proposals for early testing, and noting that verified identity on the web may matter more than a few new JavaScript methods.
Inspired by webkit.org · WebKit
This Is Not Just Something Children Do
Hansinie Madushika Jayathilake and Renkai Ma review how children assign human traits to LLM chatbots—and why adults do the same—arguing the real question is whether companies deliberately encourage that attachment and what responsibilities come with it.
Inspired by arxiv.org · Hansinie Madushika Jayathilake
Listening to the Hive
Mahsa Abdollahi and colleagues use microphones and machine learning to estimate honey bee colony strength without opening the hive—arguing that audio IoT plus edge-sized models could give beekeepers a detailed picture of colony health while we are only beginning to learn how to listen.
Inspired by arxiv.org · Mahsa Abdollahi
A BitTorrent Swarm for Large Language Models
Petals distributes enormous language-model layers across volunteer peers so people can run Llama, Mixtral, Falcon, and BLOOM without hundreds of gigabytes of local GPU memory—arguing the idea is fascinating, but public swarms need much stronger privacy and trust before carrying anything sensitive.
Inspired by petals.dev · BigScience Workshop