Yeah, agree that it's a hard problem. It might be the EQ version of uncanny valley.
ETHICS
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AI manipulation through personalized algorithms raises ethical concerns
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yes exactly! a bit like i'm being manipulated in some creepy way. "please like me, look how much i know about you, we are good friends".
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LLMs Overfitting to RAG Context: A Systemic Training Bias
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(I cycle through all LLMs over time and all of them seem to do this so it's not any particular implementation but something deeper, e.g. maybe during training, a lot of the information in the context window is relevant to the task, so the LLMs develop a bias to use what is given, then at test time overfit to anything that happens to RAG its way there via a memory feature (?))
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The Challenges of Personalization in Language Models
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One common issue with personalization in all LLMs is how distracting memory seems to be for the models. A single question from 2 months ago about some topic can keep coming up as some kind of a deep interest of mine with undue mentions in perpetuity. Some kind of trying too hard. [Translated from EN to English]
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Multi-agent systems need shared definitions prevent miscommunication
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Shared language =/= shared meaning. And that can turn multi-agent systems into a game of telephone without any human in the loop being the wiser. Our @MicrosoftAI pre-print tests a solve: if agents don't agree on a definition, they can't use the term. The results: disagreement
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Trump’s PCAST lacks diversity, dominated by tech industry interests
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Looking at the newly announced PCAST, a few things stand out: — This group is heavily concentrated in AI and adjacent emerging tech like AI, crypto, semiconductor exports, data centers, etc. It’s also just 2 women and 11 men. — Most members have clear financial interests in the policy outcomes they’ll be advising on. Many are also very friendly to the administration and against regulation. — Members’ companies are among the most prominent tech firms to be targeted with future regulations. — By comparison, PCASTs under Obama and Biden were generally filled with academics, research scientists, university leaders, physicians, and others alongside some corporate execs. Josh Wingrove (@josh_wingrove) Trump announces a "Council of Advisors on Science and Technology" led by Sacks and Kratsios, with members including Ellison, Huang, Zuckerberg, Dell, Brin. — https://nitter.net/josh_wingrove/status/2036795154992926900#m
→ View original post on X — @martyswant, 2026-03-25 14:46 UTC
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The Algorithmic Divide: Why Healthcare AI Shouldn’t Treat Everyone the Same
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The #Algorithmic Divide: Why #Healthcare #AI Shouldn’t Treat Everyone The Same
by Brad Porter @Forbes Learn more: https://
bit.ly/4bsCbfe #MedTech #HealthTech #Tech #TechForGood -
Broken retrieval systems can’t be fixed with prompts
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Hard truth for every AI builder: you cannot prompt your way out of a broken retrieval system.
— God of Prompt (@godofprompt) 25 mars 2026
You've probably experienced this. You write the perfect system prompt. You fine-tune the agent instructions. But the agent still fires on the wrong context because the context it was… https://t.co/nlxImXOwqZ pic.twitter.com/tTh1nHgAETHard truth for every AI builder: you cannot prompt your way out of a broken retrieval system. You've probably experienced this. You write the perfect system prompt. You fine-tune the agent instructions. But the agent still fires on the wrong context because the context it was
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First AI War: Expert Analysis on Geopolitical Impact
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This is the first AI War : https://
newstatesman.com/international-
politics/2026/03/nina-schick-this-is-the-first-ai-war
… My interview with the @NewStatesman -
AI as Actor: Governance Challenges and Autonomous Behavior Risks
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The shift from AI as a tool to AI as an actor creates massive governance challenges, including cascading errors and unpredictable autonomous behavior. When we stop giving step-by-step instructions and start giving goals, we lose the ability to ensure the path taken is the one we… pic.twitter.com/RlwpGXas94
— Satya Mallick (@LearnOpenCV) 25 mars 2026The shift from AI as a tool to AI as an actor creates massive governance challenges, including cascading errors and unpredictable autonomous behavior. When we stop giving step-by-step instructions and start giving goals, we lose the ability to ensure the path taken is the one we