Artificial intelligence

Artificial intelligence

Because AI is a subset of a very broad HPC (High Performance Computing) category of workloads. First, what is HPC? It's not an application; it's a loose term that covers apps and workflows many domains from financial services to pharma to manufacturing to a whole bunch of others. These are workloads that are demanding enough and important enough to justify the investment of time and money to run.

The Forecasting Research Institute (FRI) has published a report [PDF] titled "The Longitudinal Expert AI Panel" that attempts to distill the forecasts of knowledgeable folk - mainly men - in industry, academia, and policy about the capabilities, adoption, and impact of AI in the years ahead. The research project, led by Ezra Karger, an economist with the Federal Reserve Bank of Chicago, suggests that few AI experts believe "superintelligence" as outlined by the likes of Anthropic CEO Dario Amodei will arrive anytime soon.

Katti replied with a post in which he declared himself "Excited for the opportunity to work with" Brockman, OpenAI CEO Sam Altman, and others at the company "on building out the compute infrastructure for AGI!" He also said he's very grateful for the tremendous opportunity and experience at Intel over the last 4 years leading networking, edge computing and AI,

Wikimedia has called on AI companies to take responsibility for using Wikipedia content in their language models. This can be achieved by stopping scraping and using the paid API instead. In a blog post, the organization states that artificial intelligence cannot exist without the human knowledge collected and maintained on platforms such as Wikipedia. To maintain that balance, Wikimedia asks developers of generative AI to clearly cite their sources and contribute to the continued existence of the open knowledge project via the paid Wikimedia Enterprise platform.

It's been accepted wisdom that traditional publishers play a pivotal role in the digital media landscape, with standout editorial content serving as a rich source of premium inventory for advertisers. But that view is increasingly being challenged by the growing impact of AI search, whether it's Perplexity, ChatGPT, or Google AI Overviews. Only last month, Google expanded AI mode to more than 40 new countries and 35 new languages.

When Amazon recently disclosed that upcoming layoffs would impact 14,000 corporate jobs, the tech giant said the cuts would help make Amazon leaner. "This generation of AI is the most transformative technology we've seen since the internet, and it's enabling companies to innovate much faster than ever before," HR leader Beth Galetti said in a memo. (Amazon CEO Andy Jassy has since clarified that the layoffs are driven by culture, not AI or the bottom line.)

"The bar to coding is now lower than it ever has been," Ng said in a talk at Snowflake's "Build" conference on Monday. "People that code, be it CEOs and marketers, recruiters, not just software engineers, will really get more done than ones that don't."

"We are not expanding a lot of square footage, per se, but we're expanding our compute," Chan said on an episode of " The a16Z Podcast" that aired November 6, when talking about their investment in Biohub, a collection of biology labs the philanthropy has backed since 2016. "The researchers, they don't want employees working for them, they don't want space, they just want GPUs," Zuckerberg added. "In a sense, that's new lab space. It's much more expensive than wet lab space," said Chan, who is a pediatrician by training.

As explained in this video, flow-matching-based generative methods are a class of models that learn a "continuous vector field" in order to manage and transform what are relatively simple "noise distributions" into more complex data distributions. They do this by following ordinary differential equations. Instead of learning "discrete denoising steps" (that's what diffusion models do), they train the flow to match probability paths directly between data and noise.

Ray Kurzweil (2005) and others have described "the singularity" as the moment when artificial intelligence (AI) surpasses human intelligence and triggers fulminant technological change. We're not at the full singularity yet-when AI "wakes up," when the world radically transforms. Or maybe we are, and we just don't know it yet. Regardless, the shape of things to come is coming into focus.

SoftBank and OpenAI announced a new 50-50 joint venture this week to sell enterprise AI tools in Japan under the brand "Crystal Intelligence." On paper, it's a straightforward international expansion deal. But SoftBank's role as a major investor in OpenAI is raising questions about whether AI's biggest deals are creating real economic value or just moving money in circles. On TechCrunch's Equity podcast, Kirsten Korosec,

On Friday, Latham & Watkins packed its first-year associate class, more than 400 lawyers in total, into a Washington, D.C., hotel for a mandatory two-day "AI Academy." The firm laid out how partners already use tools like Harvey, an OpenAI-backed legal tech startup, and Microsoft Copilot. It also brought in outside voices, including Meta's top privacy lawyer, Steve Satterfield.

At the core of the new release is Builder agent, a generative AI system that converts plain text prompts into functional, customized map prototypes within minutes. Developers can type natural instructions like "create a Street View tour of a city" or "build a map that visualizes real-time weather in my region," and Builder agent automatically produces an interactive layout using Gemini's reasoning and visualization capabilities.

Comcast, the American media giant behind Universal Studios and owner of Sky, is reportedly in advanced discussions to acquire ITV's broadcasting division for approximately £2bn. The deal would encompass ITV's traditional TV channels and its streaming platform ITVX, but notably exclude ITV Studios, which remains the subject of separate acquisition interest. Apple nears $1bn Deal to Power Siri Apple Inc. is nearing a billion-dollar annual agreement with Alphabet Inc. to license Google's Gemini AI model.

In a blog post, the Wikimedia Foundation, the organization that runs the popular online encyclopedia, called on AI developers to use its content "responsibly" by ensuring its contributions are properly attributed and that content is accessed through its paid product, the Wikimedia Enterprise platform. The opt-in, paid product allows companies to use Wikipedia's content at scale without "severely taxing Wikipedia's servers," the Wikimedia Foundation blog post explains.

I would not call myself godmother of anything,

Along with a focus on delivering business growth, Gartner sees an opportunity for CIOs to get out of back office IT. Almost two-thirds of CIOs (65%) are not happy with being constrained to the four walls of the IT department. According to analyst firm Gartner, CIOs want to be customer-facing, where they are involved in the same conversations that people in the business have with their customers and customer prospects.

Cisco is set to launch another such "SLM", following up its Foundation-Sec-8B with 8 billion parameters with a 17 billion parameter count model. It will contain 30 years of threat intelligence emanating from Cisco Talos. However, the company emphasizes the new model is not a direct successor to Foundation-Sec-8B. Cisco currently uses Foundation-Sec-8B in its products. The model analyzes security alerts, checks code for vulnerabilities, and suggests workflows that prioritize security.

The term was coined in February by OpenAI co-founder Andrej Karpathy, who came up with the name to represent how AI can let some programmers "forget that the code even exists" and "give in to the vibes" while making a computer program. It was one of 10 words on a shortlist to reflect the mood, language and preoccupations of 2025.

Evaluating coding LLMs on well-specified tasks, such as fixing a bug, implementing an algorithm, or writing a test, is not sufficient to evaluate their ability to solve real-world software development challenges, the researchers argue. Instead of maintenance tasks, developers are driven by high-level goals like improving user retention, increasing revenue, or reducing costs. This requires fundamentally different capabilities; engineers must recursively decompose these objectives into actionable steps, prioritize them, and make strategic decisions about which solutions to pursue.

the company said in a press release, adding that "Pfizer will also participate in a direct purchasing platform, TrumpRx.gov, that will allow American patients to purchase medicines from Pfizer at a significant discount. The large majority of the company's primary care treatments and some select specialty brands will be offered at savings that will range as high as 85% and on average 50%."

I smiled tightly as this man described using generative AI for the initial stages of planning the wedding. (They also hired a human wedding planner.) I responded politely. Inside, however, I resolved: if my future spouse came to me with wedding input courtesy of ChatGPT, there would be no wedding. Some people have the typical relationship non-negotiables. Doesn't smoke, is a cat person, wants kids.

Why it matters: Alphabet's execution on artificial intelligenceevidenced by strong traction for its Gemini app, which has more than 650 million monthly users, along with its ability to deliver solid advertising revenuecontinues to drive results while refuting the AI-led disruption narrative. Within search, we like AI Overviews and AI Mode as tools that not only retain users but also drive incremental query growth and improved user engagement.

I've been a little over 30 years in the software development area, in a variety of fields, done consulting, done software development, worked on products, worked with customers. Tried to do a variety of things over the years. The last a little over 12 years have been spent specifically on AI and machine learning, in a variety of contexts. I started at Nokia, working in that with maps and data analysis of users on their mobile devices.

amidst all the fervor about AI, another consequential story is unfolding more quietly: "In years to come, we may well look back on September 2025 as the point at which social media jumped the shark and began rapidly accelerating its transition from the place to be seen," he writes, "to a gaudy backwater of the internet inhabited by those with nothing better to do."