The "Kill Them All" Edition US officials debate who to blame for the military killing of shipwrecked alleged drug smugglers; Democrats celebrate despite losing a special election in Tennessee; and the future of self-driving cars. Please enable javascript to get your Slate Plus feeds. If you can't access your feeds, please contact customer support. Check your phone for a link to finish setting up your feed. Please enter a valid phone number.

Anthropic's Daniela Amodei Believes the Market Will Reward Safe AI The Trump administration might think regulation is killing the AI industry, but Anthropic president Daniela Amodei disagrees. The Trump administration may think regulation is crippling the AI industry, but one of the industry's biggest players doesn't agree. At WIRED's Big Interview event on Thursday, Anthropic president and cofounder Daniela Amodei told WIRED editor at large Steven Levy that even though Trump's AI and crypto czar, David Sacks, may have tweeted that her company is "running a sophisticated regulatory capture strategy based on fear-mongering," she's convinced her company's commitment to calling out the potential dangers of AI is making the industry stronger. WIRED's iconic series returned to San Francisco with a series of unforgettable, in-depth live conversations. Check out more highlights here .

In this episode of, we talk to writer Evan Ratliff about how he created a small startup made entirely of AI employees--and what his findings reveal about the reality of an agentic future. This year, AI agents have been at the forefront of tech companies' ambitions. OpenAI's Sam Altman has often talked about a possible billion-dollar company being spun up with just one human and an army of AI agents. And so last summer, journalist Evan Ratliff decided to try to become that unicorn himself--by creating HarumoAI, a small startup that's made up of AI employees and executives. Hosts Michael Calore and Lauren Goode sit down with Evan to discuss how it's going, and the current promises and realities of AI agents. Write to us at uncannyvalley@wired.com . You can always listen to this week's podcast through the audio player on this page, but if you want to subscribe for free to get every episode, here's how: If you're on an iPhone or iPad, open the app called Podcasts, or just tap this link . Hey, Lauren, how are you doing? It was so fantastic that I had a hard time coming back, honestly. And I saw a lot of really beautiful art. Not a bad place to go for vacation, I have to say. I've heard this before, I confirmed it. And after seeing so much incredible art and just people doing stuff with their hands and tangible goods, I was like, I don't want to go back to the world of AI. I didn't want to go back to sitting in a coffee shop and hearing everyone pitching their AI startups and driving on the 101 and seeing the billboards. I was just like, What? No, keep me in the land of Burrata and Caravaggio. Well, Lauren, I'm sorry to tell you that you came back on the show just in time to talk about AI agents. It's something that we've talked about a lot this year and our listeners have heard about it a lot, and we're not sick of talking about it.

Swiss scientists at ETH Zurich develop a grain-sized robot that surgeons control with magnets to deliver drugs precisely through blood vessels.

Spain and The Netherlands will boycott next year's Eurovision Song Contest, after Israel was allowed to compete. They were among a number of countries who had called for Israel to be excluded over the humanitarian toll of the war in Gaza, and accusations of unfair voting practices. Despite calls for a vote on Israel's participation, members instead approved a new set of rules intended to protect the integrity of the contest. In a statement, Dutch broadcaster Avrotros said that participation under the current circumstances is incompatible with the public values that are essential to us. Spanish broadcaster RTVE added: The board of directors of RTVE agreed last September that Spain would withdraw from Eurovision if Israel was part of it.

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It's surely time for the Super 8 game we've all been waiting for. Sony Interactive Entertainment has signed a deal to produce and publish a game from Bad Robot, JJ Abrams' production company. The two sides are keeping most of the details close to their chest for now, but the game is a four-player co-op shooter for PlayStation 5 and PC directed by someone who knows a thing or two about that genre: creator Mike Booth. Bad Robot Games -- which is a fully remote studio -- was formed in 2018 with the help of Tencent. It has lent a hand on games including (as an investor and creative consultant) as well as interactive streaming series .

Senator Ted Cruz leads efforts to pass AI amnesty through the NDAA, giving Big Tech federal preemption without rules to protect conservatives and children.

Things to Do in L.A. Tap to enable a layout that focuses on the article. The Audrey Irmas Pavilion, left, at the Wilshire Boulevard Temple, center in background, in 2021. This is read by an automated voice. Please report any issues or inconsistencies here . Two were arrested during a pro-Palestinian protest at Wilshire Boulevard Temple that ended in confrontation.

We study estimation and statistical inference for reward models used in aligning large language models (LLMs). A key component of LLM alignment is reinforcement learning from human feedback (RLHF), where humans compare pairs of model-generated answers and their preferences are used to train a reward model. However, human feedback is inherently heterogeneous, creating significant challenges for reliable reward learning. To address this, we adopt a heterogeneous preference framework that jointly models the latent reward of answers and human rationality. This leads to a challenging biconvex optimization problem, which we solve via an alternating gradient descent algorithm. We establish theoretical guarantees for the resulting estimator, including its convergence and asymptotic distribution. These results enable the construction of confidence intervals for reward estimates. Leveraging these uncertainty quantification results, we conduct valid statistical comparisons between rewards and incorporate uncertainty into the best-of-$N$ (BoN) policy framework. Extensive simulations demonstrate the effectiveness of our method, and applications to real LLM data highlight the practical value of accounting for uncertainty in reward modeling for LLM alignment.