Measuring how AI agents handle everyday wet-lab science
OpenAI introduces BioBasicsBench, a 100-task benchmark measuring how well AI agents interpret raw experimental data and handle everyday wet-lab science.
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Show HN: Flawless UI/UX – A design skill and inspection CLI for coding agents
Article URL: https://github.com/smokeeaasd/flawless-ui-ux Comments URL: https://news.ycombinator.com/item?id=50381846 Points: 1 # Comments: 0
Hacker News Show HN
Show HN: Pixel Buddy, a pixel pet for Claude Code that grows from your work
Article URL: https://github.com/SimakovIgor/pixel-buddy Comments URL: https://news.ycombinator.com/item?id=50389351 Points: 2 # Comments: 0
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Synthesizing symbolic models of human and machine reasoning at scale
arXiv:2611.07088v1 Announce Type: new Abstract: Symbolic models offer a powerful account of cognition, but their scope has historically been limited by the need for hand-engineering and computational tractability. We show how advances in artificial intelligence (AI) can scale symbolic modeling and help overcome these engineering limitations. We introduce Behavior-Conditioned Symbolic Synthesis (BCSS)---an approach for automated search of interpretable, deterministic symbolic programs that verifiably reproduce behavior---and apply it to model both human and machine behavior across hundreds of challenging reasoning problems. Analyzing these programs reveals that both people and machines tend to oversimplify, adopt rules that are partial explanations for their observations, and misinfer dependencies between problem features. These shared signatures are modulated by available resources, with reasoning effort predicting the extent to which machines simplify and explain their observations. Together, these results point to underlying mechanisms reminiscent of satisficing in both people and machines, and illustrate how BCSS offers a general approach for interpreting and comparing rule-based reasoning of humans and black-box AI systems.
arXiv cs.AI
Token Pass credit now applies automatically across AI Gateway
Token Pass credit is now automatically applied to model usage through AI Gateway, regardless of authentication method, with fallback to team credits when Token Pass credit runs out. Requests remain under Zero Data Retention policies, and standard keys or OIDC tokens are recommended for fallback access.
Vercel
Usage metrics API adds code review details and addressed rate
The enterprise and organization repository-level Copilot usage metrics reports now show what happens to Copilot code review feedback. A new copilot_code_review object on each repos-1-day row reports how many Copilot-reviewed… The post Usage metrics API adds code review details and addressed rate appeared first on The GitHub Blog.
GitHub Copilot changelog
Usage metrics API flags telemetry and version gaps
The Copilot usage metrics API now shows which users are missing client telemetry or are running IDE or extension versions below the usage metrics minimums. New per-user fields appear in… The post Usage metrics API flags telemetry and version gaps appeared first on The GitHub Blog.
GitHub Copilot changelog
Agile Deliberation: How AI helps humans define the gray areas
Data Mining & Modeling
Google Research
Certinia brings AI into professional services workflows
Certinia Inc. is bringing AI into the software firms use to sell projects, assign staff, deliver work and bill clients. AI’s ability to instantaneously draw from a deep well of information and provide guidance in practically any field of expertise has changed the paradigm for professional services. For Certinia Inc., whose business facilitates 7.1 billion […] The post Certinia brings AI into professional services workflows appeared first on SiliconANGLE.
SiliconANGLE AI
Customers are pulling data back into the Oracle database as agents demand real-time access
A shared semantic layer is fast becoming the dividing line between lakehouses built for reporting and those built for artificial intelligence. As AI agents join human analysts in querying corporate data, enterprises need platforms that make sense of information scattered across clouds, formats and rival systems. Oracle Corp. has spent the past year rebuilding its […] The post Customers are pulling data back into the Oracle database as agents demand real-time access appeared first on SiliconANGLE.
SiliconANGLE AI