At The Curve conference held in Berkeley, several speakers proposed that limits should be considered on the level of intelligence large language models can reach; depending on how strict the limits are, this could amount to a de facto ban on superintelligence. Anthropic CEO Dario Amodei has called for "some kind of speed limit" on recursive self-improvement, but any such limit would require enforcement capabilities that do not currently exist.
Apple has been reported to be developing a smart home camera that does not save video recordings, instead using AI to convert visual data into text snippets describing conditions in the home, and supporting facial recognition; the approach is similar to the rumored camera for future AirPods. In the Audio Intelligence of Apple Watch Series 12 and Apple Watch Ultra 4, Live Rewind can generate a transcript of the past 15 seconds, and Siri Recap can generate a summary of the day's conversations; Apple says these features do not save any audio. Sandeep Waraich, Google's senior director of wearables, also said that the company is considering a solution in which smart glasses cameras do not record, using AI only to process visual data and not saving clips.
Apple has been reported to be developing a smart home camera that does not save video recordings, instead using AI to convert visual data into text snippets describing conditions in the home, and supporting facial recognition; the approach is similar to the rumored camera for future AirPods. In the Audio Intelligence of Apple Watch Series 12 and Apple Watch Ultra 4, Live Rewind can generate a transcript of the past 15 seconds, and Siri Recap can generate a summary of the day's conversations; App
PhAI Labs, together with Stanford, Oxford, and Princeton, proposed JEPA-Anything, which splits JEPA's single prediction into multiple specialized prediction modules and lets each module differentiate into distinct roles during training, thereby covering seven domains—including physics, robotics, weather, single-cell, and clinical—with a single architecture. In a simplified Pong environment, prediction error dropped 35%, and on unseen intervention combinations it dropped 13%; on the Burgers equation benchmark the error was nearly halved, but after 50 steps the advantage shrank to about 3%; in simulated walking-robot planning, it won two of three environments. The team also screened biological data to identify a candidate liver cancer regimen combining IL-18 with CD73 blockade, and tested it in organoids, patient tissue, and mice; the paper also notes that this does not yet show it can become a therapy, and the code and models have been made public.
PhAI Labs, together with Stanford, Oxford, and Princeton, proposed JEPA-Anything, which splits JEPA's single prediction into multiple specialized prediction modules and lets each module differentiate into distinct roles during training, thereby covering seven domains—including physics, robotics, weather, single-cell, and clinical—with a single architecture. In a simplified Pong environment, prediction error dropped 35%, and on unseen intervention combinations it dropped 13%; on the Burgers equat
A US Department of Defense official told the BBC that the Pentagon has stopped using Anthropic's products. Defense Secretary Hegseth in February of this year designated Anthropic as a supply chain risk on national security grounds and announced that its products would be discontinued by late August, but multiple people familiar with the matter said that until last week the department was still using the Claude model in research, intelligence gathering, and military operations against Iran. Anthropic said this designation is unprecedented and illegal, and has sued the Trump administration; during the same period, the Pentagon signed contracts with companies including Google, xAI, and OpenAI.
A US Department of Defense official told the BBC that the Pentagon has stopped using Anthropic's products. Defense Secretary Hegseth in February of this year designated Anthropic as a supply chain risk on national security grounds and announced that its products would be discontinued by late August, but multiple people familiar with the matter said that until last week the department was still using the Claude model in research, intelligence gathering, and military operations against Iran. Anthr
AI writing is changing the structure of written language itself. There is no single ironclad proof for identifying it; judgment can only be built up from patterns such as vocabulary and sentence structure: words like quietly, genuinely, delve, and meticulous appear repeatedly in LLM output, and the "not X, but Y" construction and the three-part structure also form a common style. A 2023 Stanford study found that seven popular AI detectors on average misjudged 61% of essays by non-native English speakers as AI-generated, with one detector reaching a misjudgment rate of 97%. After analyzing more than 880,000 Reddit posts, news articles, and academic articles, Nature Human Behaviour found that the spread of LLMs is associated with a decline in writing style diversity.
AI writing is changing the structure of written language itself. There is no single ironclad proof for identifying it; judgment can only be built up from patterns such as vocabulary and sentence structure: words like quietly, genuinely, delve, and meticulous appear repeatedly in LLM output, and the "not X, but Y" construction and the three-part structure also form a common style. A 2023 Stanford study found that seven popular AI detectors on average misjudged 61% of essays by non-native English
