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According to Bof A, the top 10 AI stocks already account for 39% of the S&P 500. \ stacker news
25+ min ago (143+ words) The data gains strength when compared to the history of major concentration bubbles: Nifty Fifty stopped at 40% in the 1970s, Japan at 44% in 1989, and the TMT bubble at 41% in 1999. In other words, the current concentration is stuck at the historical ceiling…...
AI Can Diagnose and Plan Treatments as Well as Doctors
10+ min ago (386+ words) ...
Pentagon officials boast of using AI to generate Congress reports
28+ min ago (496+ words) Gen AI. mil has been a Pentagon success story Senior Pentagon officials have publicly encouraged employees at the Department of Defense to use its internal generative AI tool, Gen AI. mil, to help them get routine, administrative work done more…...
Mounting Your First Application
20+ min ago (499+ words) The mount function is the entry point of every euv application. It connects your Rust code to the browser's DOM and kicks off the rendering pipeline. This article explores how mounting works, how to structure your application entry point, and…...
A look at "humanizer" and "autotyper" apps that help students evade AI-detection software by slowly auto-typing essays and making AI text sound less robotic
38+ min ago (12+ words) Top news and commentary for technology's leaders, from all around the web....
Pepe Coin Price Prediction: PEPE ETF Filing Sparks Fresh Optimism
27+ min ago (173+ words) Explore the latest Pepe Coin price prediction and its impact on traditional finance with the S-1 registration of a PEPE ETF....
Artificial Intelligence finds its way into Utah political ads
7+ hour, 40+ min ago (62+ words) It is crunch time in Utah politics as the primary election is just days away, and artificial intelligence has begun to find its way into the political ads hitting your screens. It is crunch time in Utah politics as the…...
Cisco AI Introduces FAPO: Pipeline-Aware Prompt Optimization With Step-Level Failure Attribution and Claude Code Orchestration
48+ min ago (455+ words) Getting prompts right is still the hardest part of shipping reliable LLM applications. Small wording changes can swing accuracy by 20 percent. What works on a few examples often breaks at scale. When a multi-step pipeline returns a wrong answer, finding…...
Agent = Model x Harness: Your Eval Layer Is Part of the Agent, Not a Tool Beside It
57+ min ago (1006+ words) There's a formula I keep coming back to when people ask why their slick demo agent falls apart in production: Agent = Model " Harness The model is the raw reasoning " Claude, GPT, whatever. It's swappable, and it's getting better on a…...