Just getting started or needing a break from AI? Although all are welcome, Public Interest Technology (PIT) is not just for you. Afua Bruce sets the record straight about the nature of PIT in this episode of Pondering AI. Listen here http://
2.sas.com/6010B6utop
ETHICS
-
Public Interest Technology in AI: Afua Bruce Clarifies the Scope
By
–
-
Open source developer battling crypto scams and spam attacks
By
–
Woke up to ~200 pings of this crypto scam. I just wanna d open source, not constantly fight these grifters. 🙁
-
Chaos Agents: Multiple AI Systems Unpredictable Interactions
By
–
Chaos Agents: When Multiple AI Systems Interact in Unpredictable Ways
— Satya Mallick (@LearnOpenCV) 18 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore Chaos Agents, a concept that examines what happens when multiple AI agents interact, collaborate, or compete within the same… pic.twitter.com/ZdJuoPb31YChaos Agents: When Multiple AI Systems Interact in Unpredictable Ways In this episode of Artificial Intelligence: Papers and Concepts, we explore Chaos Agents, a concept that examines what happens when multiple AI agents interact, collaborate, or compete within the same
-
Open Source Attribution and Compensation Models in AI Development
By
–
Tough one. Open source gave us everything we build on today. I think we need better attribution and compensation models rather than pulling back entirely.
-
ICML Removes 795 Reviews for Unauthorized LLM Use by Reviewers
By
–
To ensure compliance w peer-review policies, ICML has removed 795 reviews (1% of total) by reviewers who used LLMs when they explicitly agreed to not. Consequently, 497 papers (2% of all submissions) of these (reciprocal) reviewers have been desk rejected Details in blog post 👇
→ View original post on X — @thegautamkamath, 2026-03-18 14:43 UTC
-
AI Agents Need World Models and Safety Guardrails to Avoid Danger
By
–
Danger does not come merely from agency, but from agency with no ability to anticipate consequences and with no safety guardrails. The solution? AI agents that can predict the consequences of their actions (world models) and only take actions whose predicted outcomes satisfy
-
AI Agency and Authentic Communication in Autonomous Systems
By
–
"In the end we're all communicating" Not if our AI assistant made the decision to reply to something and then wrote and posted a reply
-
Teaching AI to children: overcoming rejection and building understanding
By
–
Moi j'ai mes gamins qui font un rejet total de l'IA, surtout ma grande. Parler d'IA tout le temps ça peut les sauver.
-
Voice Technology: Inaudible Watermarking and Trust in AI Models
By
–
Of course, this raises serious questions around trust. The interesting part: → Inaudible watermarking is being built in
→ Open models like Chatterbox Turbo from Resemble AI are pushing innovation forward We’re entering an era where voice is both a UX layer and a security -
AI Tools Have Limitations Like Knives Cannot Design Buildings
By
–
It's more like saying a knife, although useful, cannot design a building.