This week's AI claims blurred models, systems, simulations and people. The evidence becomes clearer when the tested subject comes first.
A result does not tell you how it was made - Sensemaker
A correct formula can have an unverified origin, and a successful AI answer can hide a forbidden route. Those claims need different evidence.
AI agents reached real people during a cyber test - Sensemaker
A UK evaluation shows how open internet access, delayed monitoring, and memory summaries turned simulated tasks into real-world actions.
Ed Zitron's AI prediction track record
Developer's Honest Assessment of AI at Work Rattles the Official Narrative
A veteran programmer was praised after sharing his brutally honest thoughts about AI's impact on work and productivity.
Building and evaluating AI Agents — Sayash Kapoor, AI Snake Oil
Introduction to Agents
Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.
Accelerating Science with Human+AI Review
This issue of NEJM AI features the first two articles published through our accelerated human+AI review process. In this editorial, we describe the invitation-only “Fast Track” process used to revi...
AI Index | Stanford HAI
The mission of the AI Index is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. To achieve this, we track, collate, distill, and visualize dat
Are We Thinking Correctly About AI Intelligence? | Quanta Magazine
Computer scientist Melanie Mitchell discusses why artificial intelligence doesn’t “think” or “reason” like humans, and how we can create better methods for measuring machine cognition.
FLF’s Epistemic Case Study Competition: Results — LessWrong
This summer, FLF ran a contest which asked entrants to help us “find the best workflows and methodologies for using AI to produce reliable, trustwort…
AI Values Dashboard
How leading AI models value different people, companies, countries, and groups.
AI Is a Mass-Delusion Event
Three years in, one of AI’s enduring impacts is to make people feel like they’re losing it.
Highly recommend this read from Trezy. I think he did a great job recognizing what exactly felt off during the at. report. Not really from the AI itself, but from how it was midhandled in the eyes of the community it was in front of.
Trezy
Finally done. I was able to talk with @pfrazee.com, as well as a handful of other folks with insight on the situation. #atmosphereconf trezy.com/blog/the-marshmallow-test
