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TLDR: I explain what the technical AI alignment problem is and what its core difficulties are, in my view. This is a perspective that draws simultaneously on classical traditions in theoretical computer science / machine learning theory, ideas from analytic ph…
Today's tech news explores the evolving intersection of artificial intelligence and society, ranging from ethical challenges like the alignment problem and digital mind castes to practical shifts such as cities regulating robotaxis and engineers reverse-engineering closed code. Additionally, these stories highlight the changing professional landscape for software developers in 2026.
MarkTechPost
This article is primarily about an AI agent framework, so it passes the topic gate. Harness2 is an open-source tool for improving…
Dealroom.co
The article reports that Claude, an AI model, helped resolve a long-standing question about how NIST's elliptic curves were chosen…

LessWrong
The post studies how LLMs aggregate evidence from several statements, testing whether they combine evaluative adjectives weighted…

MIT News
This is an AI research result: a multimodal model that pairs 3D atomic structures with natural-language descriptions, reportedly o…
36Kr
A Chinese startup's 27B-parameter model reportedly ranks first on the Decision Index 0.3.2 leaderboard on Hugging Face, with a sco…
MarkTechPost
Kyutai's REKI is a 2.4B vision-language-action model for robot manipulation, notable for training on public data only and for a lo…

Cybersecurity News
Anthropic reports that an internal Claude research model traced the origin of NIST elliptic curve seeds to lrand48, a 1990s C rand…

LessWrong
This study tests whether small LLMs can combine two facts in a single forward pass without written chain-of-thought, a question th…
LessWrong
This post describes a small multi-agent social deduction game, Carrot-Parsnip, used to measure how well LLMs deceive and detect de…
36Kr
StudentSim is a research tool for evaluating AI tutoring, not a finished student-facing product. Its core idea is to test whether…
arXiv
This paper extends pairwise difference learning, a meta-learning method previously proposed for regression, to classification by r…
arXiv
The paper benchmarks how multi-agent AI systems handle authorization boundaries when a supervisor delegates work to subagents, a r…