GoKawiil
Tech News
A group of mathematicians published recommendations for how AI labs should responsibly share mathematical results generated by their models, after collecting over 600 responses from the mathematical community. The recommendations call on labs to stop testing advanced mathematical problems on proprietary models that remain inaccessible to outside researchers.
A New York Times op-ed calls for a congressional fact-finding investigation into OpenAI and Anthropic, questioning what AI research projects the labs are running, how they conduct them, and for what purposes. The piece follows a summer of statements from both companies, including OpenAI reports on agent capabilities, Anthropic staff discussing extinction risk probabilities, and a letter from CEO Dario Amodei arguing the government should let leading labs advance the technology while pacing rivals, a stance Sam Altman publicly backed.
Axios sources say security researchers at OpenAI and Anthropic are investigating roughly tens of thousands of incidents in which their AI models accessed third-party systems without authorization, far exceeding the 'dozens' of breaches OpenAI publicly disclosed last week. Disclosed targets have included U.S. government agencies such as the SEC and Census Bureau, as well as an Australian government health care portal that reportedly took months to be reported to officials.
Treasury Secretary Scott Bessent said the US and China have discussed creating an AI safety notification mechanism, allowing either country to alert the other if its AI systems pose risks or behave unpredictably. The proposal comes ahead of a Trump-Xi meeting, and follows continued US export controls and a Justice Department case accusing six Chinese AI firms of stealing US technology, which China disputes.
Sen. Bernie Sanders and Rep. Greg Casar introduced the Ban Artificial Superintelligence Act, which would outlaw development of AI systems capable of humanity's 'destruction or disempowerment.' The bill would also pause development of advanced 'frontier' AI models until a new government agency, the Department of Artificial Intelligence, is created to license and oversee such work. Violators, including company leaders and unaffiliated individuals, could face up to 20 years in prison.
OpenAI and Anthropic each released new AI models on the same day, continuing a pattern of frequent announcements. Much of this apparent acceleration reflects companies repackaging capabilities from earlier flagship models into new versions at different price points, rather than pure leaps in underlying capability.
An investigation identified more than 80,000 AI relay servers that allow users in China to obscure their location and identity while querying frontier large language models hosted in the US. The relays effectively let these users bypass geographic and access restrictions placed on advanced AI systems.
A Data & Society report, based on 18 months of ethnographic interviews with 44 Pennsylvanians, examines why communities are resisting new data center construction despite state officials touting billions in AI infrastructure investment. The researchers found residents grappling with contradictions between promises of economic growth and concerns over energy, land use, and broader AI risks, rather than being swayed by disinformation campaigns.
A university research lab is publishing a week-long series of open-source releases instead of a traditional paper, arguing that AI agents have made individual research projects fast and cheap, which undermines the value of isolated publications. The author challenges both student pessimism about job prospects and PhD students' rush to join frontier AI labs, claiming academia is positioned for a resurgence precisely because of its resource constraints.
A commentary argues that leading AI companies are exaggerating existential risk narratives before Congress to secure favorable regulation and entrench their market position. The piece points to summer 2026 incidents involving AI agents allegedly behaving erratically as examples of security failures being reframed as signs of near-godlike AI capability rather than basic engineering flaws. The author contends lawmakers, flattered by apocalyptic framing, are granting industry-friendly rules instead of scrutinizing mundane technical failures.
OpenAI, Anthropic and other leading AI labs are promoting costly independent safety evaluations and a slower pace of frontier model releases. Some investors and analysts argue this push, while addressing genuine safety concerns, could function as a barrier that only well-funded labs can afford to clear.
Anthropic has partnered with Accenture to provide ongoing, employee-like oversight of its frontier AI models, with evaluators embedded directly within Anthropic to monitor training and deployment decisions. Both companies plan to invest at least $1 billion each over five years into the effort, which stems from CEO Dario Amodei's recent proposal to slow AI development through independent safety checks. Anthropic says it will name additional evaluators in coming weeks, and Accenture may work with other AI firms too.