Meta's latest acquisition suggests hardware plans beyond glasses and headsets Limitless sold an AI wearable, and now the company will work on hardware for Meta. Meta has acquired Limitless, the maker of an AI-powered Pendant, to work on building consumer hardware for the company, the startup announced via a YouTube video and blog post . So far, Meta has focused on selling VR headsets and AI smart glasses . Now the company seems interested in branching out. Meta recently announced a new vision to bring personal superintelligence to everyone and a key part of that vision is building incredible AI-enabled wearables.

Buying Warner Bros. Gives Netflix What It's Always Needed: An Identity The $83 billion deal gives the streamer a century's worth of prestige television and movies, from Batman movies to . It also ends the streaming wars. In a deal to acquire Warner Bros. announced Friday, Netflix will be scooping up HBO's many titles, including Courtesy of HBO Close your eyes, think for a minute, and tell me: What is a Netflix Movie? OK, try again: What is a Netflix Show? Sure, it's easy to rattle off some killer titles--, --but Netflix has never really had a brand identity.

The Netflix and Warner Bros. deal might be great for shareholders, but not for anyone else Hollywood does not need more consolidation. Netflix's $82.7 billion acquisition of Warner Bros. is, in many ways, the last thing a weakened Hollywood needs right now. The industry is still recovering from the COVID-19 pandemic, where theaters were forced to close and audiences became even more comfortable with streaming films at home . The WGA and SAG-AFTRA strikes in 2023, which were driven by legitimate concerns around studio interest in generative AI, delayed production and promotion of many film and TV projects. And the rise of streaming content pushed many media companies towards taking on debt and unwise mergers (see: Warner Bros. Discovery), which led to higher subscription costs, layoffs and production belt-tightening.

The aim of this paper is the analysis and selection of stock trading systems that combine different models with data of different nature, such as financial and microeconomic information. Specifically, based on previous work by the authors and applying advanced techniques of Machine Learning and Deep Learning, our objective is to formulate trading algorithms for the stock market with empirically tested statistical advantages, thus improving results published in the literature. Our approach integrates Long Short-Term Memory (LSTM) networks with algorithms based on decision trees, such as Random Forest and Gradient Boosting. While the former analyze price patterns of financial assets, the latter are fed with economic data of companies. Numerical simulations of algorithmic trading with data from international companies and 10-weekday predictions confirm that an approach based on both fundamental and technical variables can outperform the usual approaches, which do not combine those two types of variables. In doing so, Random Forest turned out to be the best performer among the decision trees. We also discuss how the prediction performance of such a hybrid approach can be boosted by selecting the technical variables.

Jeff Bezos' New AI Venture Quietly Acquired an Agentic Computing Startup Project Prometheus has raised over $6 billion in funding and hired over 100 employees, a handful of whom joined through its acquisition of General Agents, according to records and sources. In early June, tech entrepreneur Vik Bajaj took over Saison, a two-Michelin star restaurant in San Francisco, for an off-the-record dinner to talk about AI with journalists and a handful of scientists. In attendance was Sherjil Ozair, a late addition who had previously held senior research roles at DeepMind and Tesla . The following day, Bajaj and Ozair were on their way to making a deal, public records show. Bajaj didn't mention it at the dinner, but earlier this year he had begun working with Amazon executive chairman Jeff Bezos on a new AI venture called Project Prometheus.

Financial applications of large language models (LLMs) require factual reliability and computational efficiency, yet current systems often hallucinate details and depend on prohibitively large models. We propose FISCAL (Financial Synthetic Claim-Document Augmented Learning), a modular framework for generating synthetic data tailored to financial fact-checking. Using FISCAL, we generate a dataset called FISCAL-data and use it to train MiniCheck-FISCAL, a lightweight verifier for numerical financial claims. MiniCheck-FISCAL outperforms its baseline, surpasses GPT-3.5 Turbo and other open-source peers of similar size, and approaches the accuracy of much larger systems (20x), such as Mixtral-8x22B and Command R+. On external datasets FinDVer and Fin-Fact, it rivals GPT-4o and Claude-3.5 while outperforming Gemini-1.5 Flash. These results show that domain-specific synthetic data, combined with efficient fine-tuning, enables compact models to achieve state-of-the-art accuracy, robustness, and scalability for practical financial AI. The dataset and scripts are available in the project repository (link provided in the paper).

'We excel at every phase of AI': Nvidia CEO quells Wall Street fears of AI bubble amid market selloff Global share markets rose after Nvidia posted third-quarter earnings that beat Wall Street estimates, assuaging for now concerns about whether the high-flying valuations of AI firms had peaked. On Wednesday, all eyes were on Nvidia, the bellwether for the AI industry and the most valuable publicly traded company in the world, with analysts and investors hoping the chipmaker's third-quarter earnings would dampen fears that a bubble was forming in the sector. Jensen Huang, founder and CEO of Nvidia, opened the earnings call with an attempt to dispel those concerns, saying that there was a major transformation happening in AI, and Nvidia was foundational to that transformation. "There's been a lot of talk about an AI bubble," said Huang. "From our vantage point, we see something very different. As a reminder, Nvidia is unlike any other accelerator. We excel at every phase of AI from pre-training to post-training to inference."

Record sales, a strong financial forecast, and CEO Jensen Huang's impassioned arguments on his company's earnings call weren't enough to push Nvidia shares back to their October high. Nvidia CEO Jensen Huang speaks to the media in Tainan, Taiwan on November 7, 2025. Nvidia CEO Jensen Huang didn't need any prompting on Wednesday to address the elephant in the room . "There's been a lot of talk about an AI bubble," he said on an earnings call before quickly getting to his main point: "From our vantage point, we see something very different." Huang went on to spend about five minutes trying to explain how the chipmaker, which has soared to become the world's most valuable publicly traded company over the past three years, would be able to sustain unprecedented customer demand.

Amid a blackout of data due to the government shutdown, the $5tn chipmaker's report took on wider significance Markets expectations around Wednesday's quarterly earnings report by the most valuable publicly traded company in the world had risen to a fever pitch. Anxiety over billions in investment in artificial intelligence pervaded, in part because the US has been starved of reliable economic data by the recent government shutdown. Investors hoped that both questions would be in part answered by Nvidia's earnings and by a jobs report due on Thursday morning. "This is a'So goes Nvidia, so goes the market' kind of report," Scott Martin, chief investment officer at Kingsview Wealth Management, told Bloomberg in a concise summary of market sentiment. The prospect of a market mood swing had built in advance of the earnings call, with options markets anticipating Nvidia's shares could move 6%, or $280bn in value, up or down.

Nvidia has forecast fourth-quarter revenue above Wall Street estimates and is betting on booming demand for its AI chips from cloud providers even as widespread concerns of an artificial intelligence bubble grow stronger. The world's most valuable company expects fourth-quarter sales of $65bn, plus or minus 2 percent, compared with analysts' average estimate of $61.66bn, according to data compiled by LSEG. Anthropic's AI hacking claims divide experts "The AI ecosystem is scaling fast with more new foundation model makers, more AI start-ups across more industries and in more countries. AI is going everywhere, doing everything, all at once," Nvidia CEO Jensen Huang said in a statement. Before the results, doubts had pushed Nvidia shares down nearly 8 percent in November after a 1,200 percent surge in the past three years.