Résultats pour « Consensus »
Asia-Pacific Economic Cooperation (Apec) finance chiefs reached a consensus on economic policy coordination and cooperation on financing technology and artificial intelligence at a landmark two-day gathering in Hong Kong, according to China’s finance minister. Lan Foan said the outcomes achieved during the Apec Finance Ministers’ Meeting would help shape discussions at the leaders’ summit in Shenzhen next month. “China will work with all member economies to implement the important consensus…
Australian workers expect the government to act to protect them from AI harms. There is a clear reform solution at hand Get our new political email, free app or daily news podcast Australia’s major political parties are edging towards rare consensus. Labor and the Coalition increasingly want to take a major bet on artificial intelligence. Yet, just as the parties are coming together, the Australian community is running the other way. Last year, only 30% of Australians believed the benefits of AI outweighed the risks. In 2026, community trust in AI appears to be falling even further. Continue r
Le fossé entre capital et travail se creuse: tandis que les géants de la tech engrangent des milliards de bénéfices, ils créent peu de postes de travail. Dans ce contexte, croissance du PIB rime de moins en moins avec salaires en hausse. En Suisse, la situation est pour l’instant différente Jamais une entreprise n’a réalisé, ni même approché, un profit aussi élevé. L’an prochain, le développeur de puces américain Nvidia devrait enregistrer un bénéfice net compris entre 360 et 370 milliards de dollars. Tel est le consensus des analystes. L’entreprise devrait ainsi gagner deux fois plus d’argent
Updated at 2:15 p.m. ET on September 28, 2026 Dario Amodei, Sam Altman, and Elon Musk don’t agree on much. Each started their AI company—Anthropic, OpenAI, and xAI, respectively—out of spite at competitors’ greed and recklessness; each is certain that he alone can be entrusted to build superintelligence safely. But in the midst of the AI panic that has seized the country over the past two weeks, the three CEOs found one point of consensus: the introduction of “embedded evaluators,” or outside experts, to sit inside AI companies and monitor their safety practices. Both Amodei and Altman made ex
**Goals of this post** > > **Goal:** a simple way to compare a variety of capability metrics in an idealized setting where we observe only a function from $x$ to $s$. > > Non-goals: > > 1. Treatment of practical difficulties (an incomplete list of other considerations appears at the bottom). > 2. Recommendations about which metric to use. > 3. Representation of a consensus METR view. {: .metrics-callout} --> This post reviews alternative metrics of agent capability. This post contains a fairly comprehensive taxonomy of capability metrics for the situation in which you observe score curves for
David Manheim is head of methodology at AI Evaluation Consensus. He joins the podcast to discuss how AI evaluations can become more reliable, transparent, and useful for decisions. We cover common failures such as unclear reporting, training to the test, benchmark saturation, and models changing behavior when they know they are being tested. The conversation also examines real-world tests, biosecurity, persuasion, forecasting, human oversight, and why even “normal” AI progress could be disruptive. LINKS: David Manheim website AI Evaluation Consensus Statement CHAPTERS: (00:00) Episode Preview
