Versus Say More Look Up Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices All Series What'Monster: The Lizzie Borden Story' gets right (and wrong) about the Borden murders Lizze Borden has fascinated true crime junkies for over 100 years. Now, her story lies in the hands of Ryan Murphy. Shannon Connellan is Mashable's Senior Editor, General Assignments, based in London. She has been Mashable's UK Editor (and still manages the illustrious UK team) and Australia Editor, but emotionally, she lives searching for . A Tomatometer-approved critic, Shannon writes about entertainment, tech, social good, science, culture, and Australian horror, and loves to nerd out with movie stars, filmmakers, and TV creators .

Say More Look Up Versus Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable Selects Creator Playbook In My Bag Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices All Series Did Lizzie Borden inspire Aileen Wuornos? Netflix's'Monster' series says she did. Sarah Paulson plays serial killer Aileen Wuornos in...a Lizzie Borden series? Shannon Connellan is Mashable's Senior Editor, General Assignments, based in London. She has been Mashable's UK Editor (and still manages the illustrious UK team) and Australia Editor, but emotionally, she lives searching for .

Versus Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Mashable Selects Creator Playbook In My Bag Say More Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices All Series'Monster: The Lizzie Borden Story' has scenes involving a 19th-century vibrator Of course, Ryan Murphy's latest show depicts a retro dildo. Anna Iovine is the associate editor of features at Mashable. Previously, as the sex and relationships reporter, she covered topics ranging from dating apps to pelvic pain. Before Mashable, Anna was a social editor at VICE and freelanced for publications such as Slate and the Columbia Journalism Review. Follow her on Bluesky .

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Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Look Up Mashable Selects Creator Playbook In My Bag Say More Trending Now Back to School Good Connection: Uplifting stories for a digital age Switch Off Mashable Voices Safety Net All Series Shannon Connellan is Mashable's Senior Editor, General Assignments, based in London. She has been Mashable's UK Editor (and still manages the illustrious UK team) and Australia Editor, but emotionally, she lives searching for . A Tomatometer-approved critic, Shannon writes about entertainment, tech, social good, science, culture, and Australian horror, and loves to nerd out with movie stars, filmmakers, and TV creators . Sam Haysom is the General Assignment Editor, UK, for Mashable. He covers entertainment and online culture, and writes horror fiction in his spare time.

Additionally, we show that LM behaviors can be customized using different combinations of fine-grained reward models.

Language models (LMs) often exhibit undesirable text generation behaviors, including generating false, toxic, or irrelevant outputs. Reinforcement learning from human feedback (RLHF) - where human preference judgments on LM outputs are transformed into a learning signal - has recently shown promise in addressing these issues. However, such holistic feedback conveys limited information on long text outputs; it does not indicate which aspects of the outputs influenced user preference; e.g., which parts contain what type(s) of errors. In this paper, we use fine-grained human feedback (e.g., which sentence is false, which sub-sentence is irrelevant) as an explicit training signal. We introduce Fine-Grained RLHF, a framework that enables training and learning from reward functions that are fine-grained in two respects: (1) density, providing a reward after every segment (e.g., a sentence) is generated; and (2) incorporating multiple reward models associated with different feedback types (e.g., factual incorrectness, irrelevance, and information incompleteness). We conduct experiments on detoxification and long-form question answering to illustrate how learning with such reward functions leads to improved performance, supported by both automatic and human evaluation. Additionally, we show that LM behaviors can be customized using different combinations of fine-grained reward models. We release all data, collected human feedback, and codes at https://FineGrainedRLHF.github.io.

In 2022, Tony Hawk is a household name, skateboarding is an olympic sport and it's possible to master digital laser flips in any number of video games on TV. Early skate screen media consisted mostly of skeptical documentaries or whimsical California dreaming-style chronicles. Things changed when, in 1983, Stacy Peralta – who managed the ragtag team of skaters that Tony Hawk was a member of – effectively invented the modern skate video. Thanks to its performative nature, skateboarding would soon form a symbiotic relationship with the technology that showcased it. Peralta claims he hoped a few hundred copies of his first video might find their way into the new VHS players that were taking the US by storm.

"Uhm," said the female voice. "Can I book a table for tomorrow?" The question came not from a person, but software called Duplex developed by Google to make phone calls. Before the end of the year, some of the company's users will be able to direct the bot to call restaurants and book tables on their behalf. In a demonstration last week, Duplex smartly handled questions from a Google employee playing the role of restaurant worker about details such as the size of the party and the name to hold the table under.