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C'mon, you don't need an AI to check your spelling C'mon, you don't need an AI to check your spelling Florida Republican claimed to use Claude as a proofreader, nothing else. If there's one thing we love more than catching a politician doing something silly, it's the excuse they confect to try and get out of it. The latest involves Florida Republican Anna Paulina Luna, who was caught using AI in a draft amendment to a bill because the text included the phrase Claude responded:. Which might hint that someone pasted in a conversation with the Anthropic chatbot of the same name and forgot to hide it. Luna was quick to shut down the accusation, posting on X (as reported by Gizmodo), that her staff used AI to correct a draft text and didn't edit, adding that it's not a shocker as most staff use it.

The family of a Texas woman who was killed has filed a lawsuit against Tesla after a driver using a Model 3's automated driving assistance system crashed into a suburban Houston home last week. The complaint, filed on Tuesday, argues that Tesla should be held liable for the wrongful death of 76-year-old Martha Avila. The family alleges that the automaker, led by Elon Musk, failed to adequately warn drivers about alleged defects in its Autopilot and Full Self-Driving systems. Video obtained by KHOU - Houston's CBS affiliate -- shows the car travelling at top speed over the front lawn of Avila's home in the Houston suburb before slamming into the front room. The driver told the Harris County Sheriff's Office that he was using the technology at the time of the accident.

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Musk's company denies that its driving assistance system is to blame. The family of a woman killed after a Tesla, which was operating using an automated driving assistance system according to authorities, crashed into her home is suing both the company and the driver of the vehicle. As reported by, a lawsuit was filed in Harris County District Court by Jennifer and Justin Barbour, the daughter and son-in-law of the 76-year-old victim, Martha Avila. It accuses Tesla of a design defect, and the car's owner, Michael Butler, 44, of negligence. Butler's Tesla Model 3 allegedly collided with Avila's Katy, Texas, home at around 8pm on June 19, at which time she was standing in her front room.

Estimating heterogeneous treatment effects (HTEs) is crucial for personalized decision-making. However, this task is challenging in survival analysis, which includes time-to-event data with censored outcomes (e.g., due to study dropout). In this paper, we propose a toolbox of orthogonal survival learners to estimate HTEs from time-to-event data under censoring. Our learners have three main advantages: (i) we show that learners from our toolbox are guaranteed to be orthogonal and thus robust with respect to nuisance estimation errors; (ii) our toolbox allows for incorporating a custom weighting function, which can lead to robustness against different types of low overlap, and (iii) our learners are \emph{model-agnostic} (i.e., they can be combined with arbitrary machine learning models). We instantiate the learners from our toolbox using several weighting functions and, as a result, propose various neural orthogonal survival learners. Some of these coincide with existing survival learners (including survival versions of the DRand R-learner), while others are novel and further robust w.r.t.

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The pair is expected to leave the nest in early July. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Sandy going out on a limb to practice her wingers. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

A campaign event in Los Angeles, California, for a proposed'billionaires tax', on 18 February. A campaign event in Los Angeles, California, for a proposed'billionaires tax', on 18 February. Despite more than double the needed number of signatures to qualify for ballot, there's uncertainty it'll make it to voters Nick Robins-Early and Dara Kerr here, filling in for your usual host Blake Montgomery who is out on vacation. We'll be talking about the fight over a proposed billionaire tax in California, the UK's social media ban and SpaceX making a big buy in the AI arms race. The California wealth tax showdown comes to a head this week.

We examine hypothesis testing within a principal-agent framework, where a strategic agent, holding private beliefs about the effectiveness of a product, submits data to a principal who decides on approval. The principal employs a hypothesis testing rule, aiming to pick a p-value threshold that balances false positives and false negatives while anticipating the agent's incentive to maximize expected profitability. Building on prior work, we develop a game-theoretic model that captures how the agent's participation and reporting behavior respond to the principal's statistical decision rule. Despite the complexity of the interaction, we show that the principal's errors exhibit clear monotonic behavior when segmented by an efficiently computable critical p-value threshold, leading to an interpretable characterization of their optimal p-value threshold.