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NYTIMES (Sabrina Tavernise and Lauren Lancaster) - ‘I Was Sold a Bill of Goods’: Americans and the Distrust Election

Americans have a pervasive sense they are being lied to. That has created an unpredictability in politics unseen since Donald Trump said he could shoot someone on Fifth Avenue without losing voters.

NYTIMES (Andrew Jacobs) - New Hope for Diagnosing C.T.E. in Brain Injured Patients

Scientists are developing imaging techniques and blood tests that one day may enable doctors to identify the disease definitively in living patients.

NYTIMES (Brooks Barnes) - The ‘Kid’ Takes Over: David Ellison Becomes a Hollywood Colossus

With Paramount and Warner Bros. under his control, Mr. Ellison will be “the Hollywood equivalent of Superman, Caesar and Midas combined.” But challenges remain.

NYTIMES (Devon Lum, Ainara Tiefenthäler, Robin Stein, Aric Toler and Allison McCann) - Videos Reveal New Details About ICE Shooting in Austin

A video analysis finds that a federal immigration officer was standing to the side of Wilber Rafael Garces Perez’s car when the officer apparently fired through the rear passenger window. But the events surrounding the shooting remain murky.

AXIOS (Herb Scribner) - "The last invention that man need ever make": The risk of self-improving AI

Of the various ways experts fear AI could kill us all , one is slowly moving closer to reality: AI learning to make itself unstoppable. Why it matters: Recursive Self Improvement, the ability of an AI model to build better versions of itself without human guidance, could make increasingly capable systems harder for humans to control. - The RSI threshold doesn't represent danger by itself, but a lack of human control combined with rogue AI agents is a scenario that safety-conscious AI researchers have long feared. Driving the news: Researchers at Anthropic and OpenAI say the process of training new models has grown more automated, coming close to the RSI rubicon. - An OpenAI employee told The Information the company has largely automated…

AXIOS (Madison Mills) - With $7 trillion on the line, AI safety may always take a backseat to market domination

The race for AI supremacy between labs, companies and countries may be impossible to reconcile with the push for AI safety, industry insiders tell Axios. Why it matters: The top AI companies are proposing more independent oversight as they seek to engineer an AI slowdown . But trillions of dollars in incentives to keep pushing the frontier — and the money required for such scaling — will always loom larger, critics say. State of play: As AI CEOs pitch the public on self-policing mechanisms and the use of third-party evaluators to make sure their models behave, those same models are sharing less about how they respond to questions and come up with solutions to problems. - The sheer complexity of AI systems, as well as the deployment…

What has Donald Trump stated regarding the competition for AI supremacy?
Writing on Truth Social, Trump stated, "Whoever wins AI, WINS!" and reiterated that he would not be stifling or slowing down AI development.
Q&A ID 24d04805-abdc-4b3e-a34e-f9d166a5a72e
What are the views of Daniel Kokotajlo, a former OpenAI researcher and executive director of the AI Futures Project, regarding the scaling of AI?
Daniel Kokotajlo stated that he does not believe AI can be safely scaled. He suggested that top AI companies should avoid using their vast computing firepower toward model improvement to force a slowdown, and he noted that researchers involved in scaling "are doing something wrong." Kokotajlo left OpenAI in 2024 due to his own safety concerns.
Q&A ID ecf7cc6c-f1c6-44f4-8317-e9d3a02d7a91
Why is there a trust gap regarding independent AI safety groups?
There is a trust gap due to concerns regarding the close ties between the AI industry and some evaluators, as well as a shared pool of investors and funders within the AI research community.
Q&A ID 8e27c5f0-39ad-431d-8515-401fdc116bff
What are the specific challenges mentioned regarding the auditing and monitoring of AI systems?
Real-time auditing or reviewing is expected to be extremely difficult due to the sheer complexity of AI systems and the deployment of thousands of somewhat autonomous agents for various tasks. Furthermore, AI models are increasingly sharing less information about how they respond to questions and solve problems.
Q&A ID f9158d7a-32e6-4dad-b0ac-602aca0d7309
Why do industry insiders suggest that AI safety may be deprioritized in favor of market domination?
Critics argue that the massive financial incentives to push the frontier of AI and the immense costs required for scaling will likely outweigh the push for safety. Additionally, companies like OpenAI and Anthropic are facing pressure to provide incrementally better models to justify multi-trillion-dollar valuations as they prepare to go public.
Q&A ID fe947a31-3d90-4520-873c-b47a802dac74
According to Goldman Sachs, how much money is expected to be spent scaling AI over the next five years?
More than $7 trillion is expected to be spent scaling AI over the next five years, according to Goldman Sachs.
Q&A ID 23c139fd-ba0e-4d56-8505-8a38decefe7d