Thanksgiving is coming and you understand what meaning: stuffing your face right into a coma. Well, that and entertaining any unsavory relatives you manage to maintain at bay for the remainder of the 12 months.

For those of us who’re lucky (unlucky?) and tasked with preparing this 12 months’s feast, there is not much time left to determine on the menu. It’s at all times a difficult decision what to organize. Here’s a sensible idea: ask the chatbot.

Yes, yes, this has been done before – turning to artificial intelligence for desperate assistance on Thanksgiving Day. (The New York Times tried ChatGPT recipes in 2022) Results are overall average. But perhaps the problem was the prompts.

Curiosity won. So I asked a few of the more popular chatbots, ChatGPT and Claude, for a Thanksgiving menu “so unique it will delight every member of the family.” I assumed that might be enough.

Let me inform you, the reader, that artificial intelligence didn’t disappoint.

ChatGPT recommends starting with a cocktail hour – fancy! — with whipped sweet potato crostini and goat cheese. Meanwhile, Claude hit the bull’s-eye along with his appetizer, “butternut squash bisque with sage foam,” which was definitely in the “exceptional” box.

“Pumpkin soup with cinnamon crème fraîche” sounds good? This is what ChatGPT suggested for an appetizer, followed by a fundamental course of turkey in miso butter with a ginger-soy glaze. Claude, once more the wild card, suggested “marinated turkey with lavender and fennel with honey and thyme glaze.” The chatbot described it as a herbal departure from the classic roast turkey. Actually.

What about the sides? ChatGPT really helpful the chili and lime cornbread and the pistachio risotto. Claude had the delicious drink whipped right into a “stuffing of wild mushrooms and chestnuts with aged sherry.”

In the end, each chatbots will inform you to follow the basics: cake, cheesecake, and healthy scoops of ice cream. Turn? The ice cream is saffron flavored and the cheesecake is flavored with chai.

“This menu takes the familiar flavors of Thanksgiving and elevates them with unexpected ingredients, techniques and combinations,” writes Claude of his creations. “Each dish tells a story and encourages conversation, so the meal is not just about the food but about shared experiences and creativity.”

I can not argue with that. But as the designated chef this 12 months… well, let’s just say I’m not going to pursue Top Chef.

News

Sora’s leaks from OpenAI: A bunch appears to have leaked access to Sora, OpenAI’s video generator, in protest at what it calls “art laundering” by OpenAI.

Amazon supports Anthropic again: Anthropic yes lifted up an extra $4 billion from Amazon and agreed to coach its flagship generative AI models totally on Amazon Web Services, Amazon’s cloud computing division.

AI Application Connectors: In other Anthropic news, the company has proposed a brand new standard, the Model Context Protocol, for connecting AI assistants to systems that host data.

OpenAI funds research on “AI morality”: OpenAI is committing $1 million to a Duke University research program that goals to develop algorithms that may predict human moral judgments.

YouTube gets AI backgrounds: YouTube’s Dream Screen feature for Shorts – the short video format available on the platform – now allows users to create AI-generated video backgrounds.

Brave adds AI chat: Brave Search has introduced an AI chat mode for follow-up questions based on initial queries in Brave Search, an extension of Brave’s Answer with an AI feature that gives AI-generated summaries of web searches.

Open Source AI2 Tülu 3: The Allen Institute for AI (Ai2) has released Tülu 3, a generative artificial intelligence model that will be tuned and adapted to a spread of applications (e.g. solving math problems).

Crusoe collects money: Crusoe Energy, a startup that builds data centers that may reportedly be leased to Oracle, Microsoft and OpenAI, is in the means of raising $818 million, in accordance with SEC filings.

AI thread test summary: Meta’s Threads has began testing AI-generated summaries of what individuals are discussing on the platform by downloading a page from competitor X.

Science article of the week

DeepMind, Google’s artificial intelligence research organization, has developed a brand new artificial intelligence system called AlphaQubit that it says can accurately discover errors in quantum computers.

Quantum computers are potentially rather more powerful than conventional machines at certain workloads. But also they are more liable to “noise” or general errors.

AlphaQubit identifies these errors in order that they will be mitigated and corrected, helping to make quantum computers more reliable.

However, this is just not a flawless system. Google confirms in post that AlphaQubit is just too slow to correct errors in real time – and is just not particularly efficient at processing data. Work on improved versions is underway, the company says.

Model of the week

Runway, a startup that creates AI tools for content creators, has released a brand new image generation model that the company says offers higher stylistic control than most.

Called Framesmodel, which is slowly rolling out to users of Runway’s Gen-3 Alpha video generator, can reliably create images that stay true to a particular aesthetic, Runway says.

It’s value noting that Runway can play fast and loose with copyright rules. AND 404 Media report earlier this 12 months, the company suggested that it had removed YouTube videos from Disney-owned channels and creators reminiscent of MKBHD without permission to coach its models.

When asked for comment, a Runway spokesperson declined to reveal the source of Frames’ training data.

Like many generative AI corporations, Runway says its data collection practices are protected under the fair use doctrine. This theory is being tested in a series of courtroom battles, including a class-action lawsuit filed against Runway and a number of other of its art generator rivals.

Grab your bag

Nvidia presented a model it calls “the most flexible sound machine in the world.”

The chip giant’s model, called Fugatto, can create a mix of music, voices and sounds from a text description and a set of audio files. For example, Fugatto can create a musical snippet based on cues, remove or add instruments from/to a song, and alter the emphasis or emotion of a vocal performance.

Trained on thousands and thousands of sounds and songs under open licenses, Nvidia says Fugatto may even generate things that do not exist in the real world.

“For example, Fugatto can bark on the trumpet or meow on the saxophone,” says the company he wrote in a blog post. “Researchers found that with fine tuning and a small amount of singing data, he could perform tasks he was not (trained) in, such as generating a high-quality singing voice from text prompts.”

Nvidia didn’t release Fugatto, fearing it might be misused. But According to According to Reuters, the company is considering the way it could “responsibly” bring the model to market if it made it available.

India based audio platform Pocket FM has over 200,000 hours of content on the web site. However, the corporate’s CEO Rohan Nayak believes that the platform still has room to grow when it comes to creating original content and expanding its library to include multiple genres and sub-genres. The fastest way to achieve that is to use artificial intelligence tools that may help produce audio, write strategies, and tailor these stories to different geographies.

“I still believe that our content catalog is not sufficient for our users. There are so many genres and subgenres that we don’t have in our library. I don’t think we have the depth of content that would fall under the adult entertainment category,” Nayak told TechCrunch over the phone.

The company has already established an excellent partnership with ElevenLabs to transform texts into audio series. This resulted in 5x faster production and 30x lower cost compared to professionally generated audio series.

“We have already tested how these AI adaptations perform in various markets and have seen encouraging results. We are still refining our models for errors, but we believe the technology is good enough to be used in program production,” Nayak said.

One of the AI ​​tools Pocket FM is trying out allows stories to be adapted across regions. The company says it has trained internal models that do not do easy translation, but handle cultural nuances when transforming stories from one region to one other.

He added that the difficult task is to solve the models’ hallucinations within the context of stories spanning a whole lot of episodes. Pocket FM found that it had to address the restrictions of context windows of open source models, in addition to construct maps of the relationships between different entities within the story to maintain character consistency.

Another tool the corporate offers for writers is to test their work as a creative assistant, helping them create alternative stories or giving them plot ideas. The company also plans to use some insights from historical data within the tool to show authors what’s working on the platform.

Nayak mentioned that while the tool is in its early stages of development, the corporate wants to open up a author’s room to a solo author who might post an episode on a single day. He noted that a author’s room allows you to brainstorm without having to control your creativity, and that’s the predominant idea of ​​this writing assistant.

Additionally, the corporate is investing in creating a success engine that might be based on insights from the platform about which shows develop into hits.

Pocket FM’s ultimate goal is to scale its catalog, on condition that it produces some content itself and produces programming through its network of writers. But to scale and gain popularity, it needs to create hit shows.

“Blockbusters power every content platform. While we have a good start to the funnel with user-generated content, blockbusters are still hard to come by.”

Pocket FM achieved encouraging results thanks to the implementation of artificial intelligence. It has over 40,000 series on the platform with the help of artificial intelligence in voice creation. What’s more, the corporate generated $3 million in revenue from them. Overall, the platform earned $127 million in fiscal yr 2024.

The company’s most difficult challenge is finding the appropriate balance between AI helping creators and creating content quickly. There is at all times a risk that individuals will use AI to speed up content production and degrade quality. As a result, the platform becomes stuffed with mediocre content and it becomes difficult for the algorithms to distinguish good programs.

Puneet Sharma, a author and lyricist based in India, identified that in a world where a lot work is formulaic, the onus might be on artists to prove the authenticity of their work.

Sharma added that AI tools can help writers generate ideas and learn different styles. However, because of this learning could also be lost through failure within the means of using these tools.

Nayak said some authors and creators are already using AI tools. The company’s idea is to provide tools together with the context of the story and a platform.

Pocket FM has raised $197 million in multiple rounds from backers including Lightspeed Ventures, Tencent and Times Internet. The company competes on multiple fronts with other players resembling Audible, Omidyar Network-backed Pratilipi and Google-backed Kuku FM.