The guy behind TCP/IP is working on a standard for identifying AI agents in the wild.
You are not stuck. You are pointed the wrong direction.
With the settlement withdrawn, Google is now bound by the court's full antitrust remedies.
There’s a HD from mining in the early 2Ks also it’s in another country. Is it worth flying 12+hrs to retrieve & what you do once I have it? submitted by /u/Professional-God2379 [link] [Kommentare]
Inventory robots are moving beyond isolated pilots and becoming part of larger systems that combine computer vision, electronic shelf labels, AI, cleaning robots, and real-time analytics. Tesco, Kroger, Harmons, BJ’s, Stop & Shop, Wakefern, Schnucks, and others are using autonomous shelf-scanning systems to track out-of-stocks, misplaced products, pricing errors, promotional compliance, and shelf conditions. Harmons says autonomous shelf scanning reduced out-of-stock conditions by more than 50% and pricing errors by 75%. submitted by /u/Responsible-Grass452 [link] [Kommentare]
Building a sports prediction model ,I found consistent edge when backtesting against closing lines. At inference time tho, I predict 12-24 hours before the event where closing lines don't exist yet. I use the current line instead. My strongest feature is line movement (opening to closing implied probability). At prediction time this feature is incomplete as the market hasn't fully moved yet. This creates a paradox: Closing lines are considered nearly impossible to beat because they contain all available information : sharp money, injury news, everything. Yet the backtest shows consistent edge against them. If closing lines are truly efficient, beating them implies genuine model signal. But at inference time we're betting against earlier, less efficient lines with an incomplete version of our strongest feature. The question: does edge against closing lines transfer to earlier bets where lines are less efficient ? Or does the incomplete line movement signal hurt prediction enough that the edge disappears before close? My intuition is the edge is smaller earlier because the market is less efficient but the model signal is also weaker. These two effects might cancel out or one might dominate. Curious if anyone has studied this tradeoff in sports or financial prediction. submitted by /u/MrProbability101 [link] [Kommentare]
N/A. Contribute to MSNightmare/LegacyHive development by creating an account on GitHub.
Dear Secretary of State, Protect children online without making the Internet less secure Protecting children online is an objective we all share.
Written pieces, talks, and other bits by Zach Holman.
Operator, integrator, and packager reference for satd — a Bitcoin Core-compatible full node in Rust.