Technology
This week in AI: AI gets creative in the kitchen

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.
Technology
The planned Openai data center in Abu Dhabi would be greater than Monaco

Opeli is able to help in developing a surprising campus of the 5-gigawatt data center in Abu Dhabi, positioning the corporate because the fundamental tenant of anchor in what can grow to be considered one of the biggest AI infrastructure projects in the world, in accordance with the brand new Bloomberg report.
Apparently, the thing would include a tremendous 10 square miles and consumed power balancing five nuclear reactors, overshadowing the prevailing AI infrastructure announced by OpenAI or its competitors. (Opeli has not yet asked TechCrunch’s request for comment, but in order to be larger than Monaco in retrospect.)
The ZAA project, developed in cooperation with the G42-Konglomerate with headquarters in Abu Zabi- is an element of the ambitious Stargate OpenAI project, Joint Venture announced in January, where in January could see mass data centers around the globe supplied with the event of AI.
While the primary Stargate campus in the United States – already in Abilene in Texas – is to realize 1.2 gigawatts, this counterpart from the Middle East will be more than 4 times.
The project appears among the many wider AI between the USA and Zea, which were a few years old, and annoyed some legislators.
OpenAI reports from ZAA come from 2023 Partnership With G42, the pursuit of AI adoption in the Middle East. During the conversation earlier in Abu Dhabi, the final director of Opeli, Altman himself, praised Zea, saying: “He spoke about artificial intelligence Because it was cool before. “
As in the case of a big a part of the AI world, these relationships are … complicated. Established in 2018, G42 is chaired by Szejk Tahnoon Bin Zayed Al Nahyan, the national security advisor of ZAA and the younger brother of this country. His embrace by OpenAI raised concerns at the top of 2023 amongst American officials who were afraid that G42 could enable the Chinese government access advanced American technology.
These fears focused on “G42”Active relationships“With Blalisted entities, including Huawei and Beijing Genomics Institute, in addition to those related to people related to Chinese intelligence efforts.
After pressure from American legislators, CEO G42 told Bloomberg At the start of 2024, the corporate modified its strategy, saying: “All our Chinese investments that were previously collected. For this reason, of course, we no longer need any physical presence in China.”
Shortly afterwards, Microsoft – the fundamental shareholder of Opeli together with his own wider interests in the region – announced an investment of $ 1.5 billion in G42, and its president Brad Smith joined the board of G42.
(Tagstransate) Abu dhabi
Technology
Redpoint collects USD 650 million 3 years after the last large fund at an early stage

Redpoint Ventures, an organization based in San Francisco, which is a few quarter of a century, collected $ 650 million at an early stage, in keeping with A regulatory notification.
The latest RedPoint fund corresponds to the size of its previous fund, which was collected barely lower than three years ago. On the market where many enterprises reduce their capital allegations, this cohesion may indicate that limited partners are relatively satisfied with its results.
The company’s early stage strategy is managed by 4 managing partners: Alex Bard (pictured above), Satish Dharmraraj, Annie Kadavy and Eric Brescia, who joined the company in 2021 after he served as the operational director of Githuba for nearly three years.
The last outstanding investments of the RedPoint team at an early stage include AI Coding Pool Pool, which was founded by the former partner Redpoint and CTO GitHub Jason Warner, distributed laboratories of SQL database programmers and Platform Management Platform Platform Levelpath.
A multi -stage company also conducts a development strategy led by Logan Barlett, Jacob Effron, Elliot Geidt and Scott Raney partners. Last 12 months, Redpoint raised its fifth growth fund at USD 740 million, which is a small increase in the USD 725 million fund closed three years earlier.
The recent RedPoint outputs include the next insurance, which was sold for $ 2.6 billion in March, Tastemada Startup Media Travel -utar -Media was enriched by Wonder for $ 90 million, and the takeover of Hashicorp $ 6.4 billion by IBM.
Redpoint didn’t answer the request for comment.
(Tagstranslate) Early Stage Venture Capital (T) Basenside (T) Redpoint Venture Partners
Technology
Tensor9 helps suppliers implement software in any environment using digital twins
Enterprises must access latest software and artificial intelligence tools, but they’ll not risk sending their sensitive data to external software suppliers as a service (SAAS). Tensor9 He tries to help software firms to get more corporate customers, helping them implement the software directly in the client’s technological stack.
TENSOR9 transforms the software supplier code into the format needed to implement their client in the technological environment. Tensor9 then creates a digital twin of implemented software or a miniaturized infrastructure model of implemented software, so TENSOR9 customers can monitor how the software works in their customer environment. TENSOR9 will help firms to be placed in any premise, from the cloud to a bare server.
Michael Ten-POW, co-founder and general director of TENSOR9, told Techcrunch that the pliability to tendsor9 to send software to any assumption and using digital double technology in order to help in distant monitoring, helps to face out from other firms, comparable to Octopus implementation or non, which also help firms implement software in the client’s environment.
“You can’t just throw the wall software, or it is very difficult to throw the wall software and know what is happening, be able to find problems, debrieve them, fix them,” said Ten-POW (in the photo above, on the left). “They see how it works, they can debate it, can log in and understand what problems are and fix them.”
He said that time is suitable for Tensor9 technology on account of the wind from the creation of AI. Companies and financial institutions wish to simply accept AI technology, but they’ll not risk sending their data to third parties.
“Enterprise search seller can succeed, say, JP Morgan and say:” Hey, I’d love access to your entire six data parabetts to construct an intelligent search layer in order that your internal employees can confer with the company’s given company, “it is not possible to work,” said this-POW.
Ten-Pow, a former engineer in AWS, said he had a “long, quite winding path” to run the tensor9. He came up with the company’s idea, working on one other potential concept that failed. He spent some time, wondering if he would discover an answer to make it easier for software suppliers to accumulate a SOC 2 certificate, a frame compliance frame to help them unlock customers who required their suppliers.
Although it failed, he discovered from clients’ connections that what firms really wanted was software to act in their very own technological environment. But many programming firms, especially startups, shouldn’t have any resources to provide a specially to order for each company customer.
This sentiment became the premise of Tensor9, which Ten-POW began in 2024. Later this 12 months he brought two of his former colleagues, Matthew Michie and Matthew Shanker, as co-founders.
The company found early grip with AI. Since then, they began to expand to work in other industries, including: attempting to get your hands on enterprises, corporate databases and data management. The company currently cooperates with AI, including: 11x, REELL AI and DYNA AI.
TENSOR9 BootstrePPRE for the first 12 months, and recently raised a round of $ 4 million, led by Wing VC with the participation of UP Ventures levels, Devang Sachdev with the Ventures model, Nvangels, Angelic group of former employees of NVIDIA and other Investors of Angels. This POW said that the involvement of investors with this idea was not too difficult, for the rationale that VC they talked to see how their portfolio firms struggle with this exact problem. Tensor9 simply needed to steer investors that they were an appropriate team for work.
“We have a simple model, but there are many complexities under the covers, which makes it happen, difficult technical challenges that we solved to make it happen,” said Ten-Pow. “I think it was one of the things that helped us convince investors to invest in us.”
The company plans to utilize funds for employment and construct one other generation of its technology in order that it could cooperate with clients in larger vertical number.
“There was evolution from (on the premise) to the cloud and we think that this idea of the software lives where it must and works where it must, is the next step, which is a kind of synthesis of previous local and cloud ideas,” Ten-POW said.
(Tagstranslate) artificial intelligence
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