' Hey, Linas here! Every day, I break down 3 stories shaping the future of FinTech & Artificial Intelligence - plus the money movements and trends worth tracking. First time here' 393k+ FinTech and AI leaders get this daily. Join them: Claude Fable 5 is the most capable model Anthropic has ever shipped, and most people are simply wasting it. They open a chat, type the same prompt they would have typed into Sonnet, watch it think for five minutes, and close the tab. Then they decide Fable 5 is overhyped. Anthropic describes Fable 5 as a model built for 'problems that were previously too complex, long-running, or ambiguous,' designed for end-to-end work that takes a person hours, days, or weeks to complete. The teams getting the best results are thus not testing it on snake games and to-do apps. They are pointing it at their hardest unsolved problems: codebase audits that used to take a week, IC memos that used to take three analysts, market maps that used to require a research firm, multi-day product builds that used to need a senior engineer....

The rise of artificial intelligence is riding on the back of an enormous data center expansion. Data centers are projected to account for anywhere from 9 to 17 percent of total electricity usage in the U.S. by the end of the decade. Today, around a third of data center electricity is devoted to cooling the chips that run AI models. That's the process Ferveret is working to make more efficient. The startup, founded by Reza Azizian, a former MIT postdoc in nuclear engineering, and Matteo Bucci, MIT's Esther and Harold E. Edgerton Associate Professor in the Department of Nuclear Science and Engineering, is adapting an approach from nuclear reactors to cool chips using no water and significantly less electricity. The company's cooling system submerges computer servers in a specialized liquid that absorbs heat much more efficiently than air from a fan. What makes the solution different from other liquid cooling systems are the bubbles: Ferveret's Adaptive Phase Cooling (APC) solution produces much smaller bubbles at the surface of the server, which detach more frequently, accelerating the heat transfer process....

Slowly but surely, artificial intelligence is finding its way into sports. The latest venue' This year's World Cup, where Google will be partnering with the defending champions Argentina to showcase Gemini on and off the pitch. The agreement with the Argentine Football Association (AFA) makes Gemini the main global sponsor of the national team. As part of the collaboration, Google Gemini's logo will appear on the Albiceleste's training kit and the AI tool itself will be used to analyze the team's plays, form, performance, and statistics. During the tournament, players and coaching staff will have access to AI models to break down plays, analyze opponent statistics and, in theory, shorten the time it takes for that analysis to be put into action on the pitch. Google has not detailed exactly what internal tools Argentina will use, but the intention is clear: The World Cup will be a stress test for Google's AI in the high-pressure environment of professional soccer. For the fan, the proposition is more tangible and, in some ways, more ambitious. Google's search engine will be reconfigured to act like a fellow fan, with AI-generated answers for real-time queries, analysis of key plays and in-depth statistics. It will also allow fans to create songs, memes, cartoons, and other visual content to encourage social media interaction during and after each match....

A new kernel, or core program within an operating system, gives researchers a cleaner view of what's happening inside a processor. Called Fractal and developed at MIT, the kernel has already surfaced previously unknown behavior in Apple's M1. When security researchers want to understand what a modern processor is really doing with the kind of detail that determines whether attacks like Spectre and Meltdown are possible, they usually run their experiments on top of an operating system that was never built for the job. They open up macOS or Linux, patch the kernel by hand, and hope the modifications hold. The approach is unstable, hard to reproduce, and on Apple's platforms, slated for deprecation. A team at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) decided to build something different. Fractal, an operating system kernel written from the ground up, treats the hardware itself as the object of study. Its first major use, a deep look at branch predictors ' a CPU's way of guessing what code to run next, before it knows for certain, so it doesn't have to waste time waiting to find out ' inside Apple's M1 processor, has already turned up findings that prior work missed, including the first evidence that a class of speculative attack known as 'Phantom' affects Apple Silicon....