💬 NLP - dungngo · Scour

RFC 9920: RFC Editor Model (Version 3)

rfc-editor.org·6h

🚀WebTransport

AI Personality Extraction from Faces: Labor Market Implications

nber.org·2d·

Discuss: Hacker News

🧠Neural Architecture

The New UML-to-Code Platform for Fast Teams, Wed, Feb 18, 2026, 4:00 PM

meetup.com·6h·

Discuss: DEV

🔧Embedded Rust

Three Conversations Worth Having with Your CTO

docs.eventsourcingdb.io·8h·

Discuss: Hacker News

👁️Observability

Order parameters and phase transitions of continual learning in deep neural networks

pnas.org·15h

CrowdStrike Researchers Identify Hidden Vulnerabilities in AI-Coded Software

crowdstrike.com·1d·

Discuss: r/Infosec

New Research: How AI Transforms $400 Billion Of Corporate Learning JOSH BERSIN

joshbersin.com·17h

At Experience ’26, Medallia Pushes Beyond Dashboards to Own the CX Loop

cmswire.com·9h

Java gains ground for production AI as Oracle loses its grip

techzine.eu·17h

Structured Context Engineering for File-Native Agentic Systems

simonwillison.net·2d

Start Up No.2606: can (should) AI write romance novels?, AI ads perplex Superbowl, charger companies seek buyers, and more

theoverspill.blog·1d

Next-gen AI delivers accurate battery diagnostics and explosion risk assessments

techxplore.com·6h

Warp: The platform for coding agents, locally and in the cloud.

producthunt.com·1d

'Observational memory' cuts AI agent costs 10x and outscores RAG on long-context benchmarks

venturebeat.com·1d

Steve Yegge on AI Agents and the Future of Software Engineering

newsletter.pragmaticengineer.com

·1d

Chinese AI companies like Alibaba and Tencent are releasing new models and spending millions on “red envelope” freebies to woo users ahead of the Lunar New Year

techmeme.com·1d

Article: From Prompts to Production: A Playbook for Agentic Development

infoq.com·19h

Import AI 444: LLM societies; Huawei makes kernels with AI; ChipBench

jack-clark.net·2d

The Feynman Technique 2026: A Cognitive Algorithm to Kill the 'Illusion of Competence'

dev.to·13h·

Discuss: DEV

ashworks1706/rlhf-from-scratch: A theoretical and practical deep dive into Reinforcement Learning with Human Feedback and it’s applications in Large Language Models from scratch.

github.com·1d·

Discuss: Hacker News

Loading more...