Knowledge that moves
with the pace of AI.

If minimizing harm is a condition of science, how does today's AI look? ── A one-page essay in Science argues, from Lakota traditional science, that AI as presently configured does not qualify to advance

Open decision models that return only probabilities over options ── A preprint proposing Drex, which scores user-supplied options without generating text, and reporting its accuracy and latency

Choosing which model handles each request ── A preprint that routes language, image, video, speech and robot candidates in one framework and measures the headroom against what routers achieve today

What Multi-Turn Reinforcement Learning Actually Improves in LLM Agents ── A preprint reports that gains depend on the turn budget and come mainly from error recovery, not better single steps

Removing Specific Data from a Trained Model, with Exact Guarantees Where Possible ── A preprint proposes IDSISA, which groups likely-to-be-deleted data into few shards and recovers accuracy by distillation

Building Practice Environments for Tool-Using Agents from Real Call Records ── A preprint proposes ToolSpace, which reverses environment construction so that tools come first

Do the Gains of Self-Improving Agents Hold Up Outside Training Conditions? ── A preprint proposing SelfImprove-Bench, which grades how far improvements transfer on a ladder from G0 to G4

The Task Passed, but Unrelated Files Are Gone ── A preprint proposing VeriHarm, which measures the "harmful success" of coding agents with executable tests

AI stocks plummeted after the US mid-term elections, with Nvidia down about 9% (about $450 billion in market c…

In response to this, reports of downward revisions to the estimated valuation of Anthropic IPO and political backlash over data center investment surfaced at th…

Following the US midterm elections (Democratic Party's retaking of the House of Representatives), AI and data…

ensen Huang decreased. OpenAI is moving to ``recover the favorability'' of its data center policies, and Google and Block are continuing and expanding workforce…

The Democratic Party gained the upper hand in the US mid-term elections, creating a sense of uncertainty over…

At the same time, employment adjustments due to AI are prominent, such as Google's expansion of voluntary retirement and Canva's large-scale restructuring. Anth…

There has been a lot of coverage surrounding Anthropic's IPO (inference costs, third-quarter results, and poli…

scrutiny. At the same time, reports of AI-induced restructuring at Barclays and Goldman Sachs, as well as copyright risks in the EU judiciary (Google), have com…

Anthropic's amended IPO statement is the biggest source.

Revenue for the third quarter reached approximately $17 billion, while losses were approximately $23 billion, and AI-related spending commitments are reported t…

Anthropic's IPO (reportedly valued at $2 trillion) was the biggest topic in the market, and DeepSeek's announc…

on for coding agents. The picture is clearly changing, with AI boosting Meta's ad revenue while encroaching on Google search. On the employment front, companies…

Doubts about the sustainability of AI investment suddenly surfaced.

OpenAI's funding goal was lowered by about $10 billion, and Alphabet reportedly lost about $500 billion in market capitalization in one day. Meta has a cash flo…

- Anthropic's IPO prospectus (S-1) has been released, and the industry is focused on debate over risk descript…

- On the other hand, concerns about a bubble are increasing, such as ``plummeting tech stocks'', ``AI panic'', and ``questions about profitability ($1trn questi…