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Reddit r/MachineLearning

Time Series Forecasting for Agriculture/Crop Volume & Pricing – Looking for Advice [D]

Hi everyone, I work for a major berry company, and a large part of my role involves forecasting total industry crop volumes (weekly harvest/production forecasts) as well as future pricing. I'm relatively new to ML-based forecasting. This is only my second professional role, and I have a bachelor's degree in Information Systems with a few machine learning courses under my belt, but I'm definitely not a forecasting expert. For crop forecasting, I've been working with USDA and other industry datasets. I started with SARIMA models and have recently been experimenting with XGBoost and Holt-Winters methods to compare performance. I'm looking for recommendations on: Libraries/frameworks that are commonly used for production-grade time series forecasting Models that work well for agricultural production forecasting Approaches for forecasting commodity/produce pricing Feature engineering ideas (weather, seasonality, acreage, imports, etc.) Any papers, blogs, or resources that would be useful Most of the data is weekly and highly seasonal, with weather and supply conditions playing a major role. Any suggestions, lessons learned, or pointers from people working in forecasting would be greatly appreciated. submitted by /u/foreigneverythingg [link] [留言]

/u/foreigneverythingg 2026-06-10 01:28 👁 7 查看原文 →
The Verge AI

Apple wants Europe to blink

It took a few years, but Apple finally made its AI look useful. Now millions of iPhone users in Europe are being told they won't be getting Siri AI anytime soon, if ever - and Apple wants them to blame the EU. Apple says its new AI-powered Siri will not launch on iPhones and iPads […]

Robert Hart 2026-06-10 01:13 👁 8 查看原文 →
The Verge AI

Anthropic releases its first Mythos-class model Claude Fable

Anthropic just announced Claude Fable 5, a new AI model it said is the most powerful model it has ever made widely available. According to the company, Fable 5 "shows exceptional performance in software engineering, knowledge work, and vision," with its lead over other models growing as tasks become longer and more complex. Fable 5 […]

Robert Hart 2026-06-10 01:00 👁 15 查看原文 →
The Verge AI

SwitchBot’s E Ink Weather Station is already 20 percent off

We’re only a few days since the SwitchBot Smart E Ink Weather Station launched, and you can already save $25 on the smart home gadget. Visit Amazon and clip the on-page coupon to bring the price down to $85 at checkout, or use coupon code APAP23 on the SwitchBot site. The 7.5-inch framed panel shows […]

Brad Bourque 2026-06-10 00:55 👁 10 查看原文 →
Reddit r/artificial

OpenAI just declared 'chat is dead' and is turning ChatGPT into a superapp - what does this mean for how we use AI?

A senior OpenAI employee told the Financial Times that chat is dead as the company prepares the biggest ChatGPT overhaul since launch. The plan is to turn it into a superapp with Codex coding tools, AI agents, and third-party integrations like Canva and Booking.com. This confirms what a lot of us have been feeling - pure chat interfaces have diminishing returns. The buzz is shifting toward agents that do things rather than chatbots that talk. OpenAI is also filing for IPO (confidential S-1 filed June 8) alongside publishing their AGI roadmap called Built to Benefit Everyone. Some interesting angles: The superapp pivot means ChatGPT competes more directly with Claude desktop app and Codex They are moving from reactive Q&A to proactive agents that learn your needs over time Third-party integrations suggest a platform play, not just a product Codenamed Aria, the overhaul starts rolling out in weeks The real question is whether users actually want a superapp. People liked ChatGPT because it was simple. Making it a kitchen sink could fragment the experience. On the other hand, if agents really deliver on automating workflows, the chat-only interface was always going to be a stepping stone. What do you think? Is this the natural evolution of AI interfaces or are they fixing something that wasnt broken? submitted by /u/ArtSelect137 [link] [留言]

/u/ArtSelect137 2026-06-10 00:32 👁 7 查看原文 →
HackerNews

Launch HN: Transload (YC P26) – Measuring freight items with CCTV

Hi HN — we’re Julius, Jago, and Nils, and we’re building transload (transload.io). transload helps LTL trucking companies measure freight dimensions using the security cameras already installed in their terminals. Instead of sending shipments through a dedicated dimensioning station, we measure them automatically as they move through the normal dock workflow. We’ve put together a small HN-specific demo site here: https://hn.transload.io/ In LTL trucking, dimensions matter because they affect pri

nils_spatial 2026-06-10 00:28 👁 4 查看原文 →