Ben Dickson
Contributing Writer at Freelance
Software Engineer | Tech analyst | Thinker | Student of life | Founder of @bdtechtalks
Articles
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3 days ago |
247sports.com | Ben Dickson
On April 22, the last day of the transfer portal window, Julian Reese entered his name into the portal. Reese had a great four-year career at Maryland and seemingly has no eligibility remaining. But he followed suit of over 100 other players who did the same – just in case. Could Reese somehow get a fifth year of eligibility? Under current NCAA rules, no. But, as the House vs. NCAA settlement looms, that is not to say things may not change.
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3 days ago |
247sports.com | Ben Dickson
"Look, it's not my head-scratcher in terms of what we're going to talk about today, but it is a little bit of a head-scratcher. But it's really not. I mean, this is what Buzz does. I'm talking on his side, right? You look at the tenure at Marquette, it was, I think, five or six years. Then he goes to Virginia Tech. It's five or six years. Then he goes to Texas A&M, it's five or six years.
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5 days ago |
247sports.com | Ben Dickson
The BartTorvik rankings consistently update throughout the offseason, even in early May. So now that Buzz Williams has the foundation of his first roster as the Maryland men's basketball head coach, where do the Terps stand in Torvik's 2025-26 projections? Maryland ranks 35th nationally. It is 57th in adjusted offensive efficiency and 16th in adjusted defensive efficiency. Maryland has 10 players currently on its roster.
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5 days ago |
technewstube.com | Ben Dickson
Tech News Tube is a real time news feed of the latest technology news headlines.Follow all of the top tech sites in one place, on the web or your mobile device.
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5 days ago |
venturebeat.com | Ben Dickson
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreTwo popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford University explored the generalization capabilities of these two methods.
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MCP is an interface, nothing more. Even its creators think of it as a "USB-C for AI," not some sort of scientific discovery (this doesn't mean it cannot have an important impact on developing applications).
How to detect an idiot: they think that MCP is some sort of advancement in AI, like ReLU, skip connections, dropout, batch normalization, transformers, or RoPE (assuming they know what these latter terms mean).
When you're not transparent about the training data that went into training your model, it's hard to tell memorized data from real generalization.
🔥 New paper! We show GPT‑4o can perfectly recall tons of econ & market data inside its training window—so those glossy “LLM beats Wall St.” back‑tests may just be parroted history. @YuehuaTang The Memorization Problem: Can We Trust LLMs' Economic Forecasts? https://t.co/h61Pu59rF7
What about the cases where it gave the wrong advice? Genuinely curious to know what is the ratio/impact of good/bad healthcare advice ChatGPT gives. Any studies on this?
I'm hearing more and more stories of ChatGPT helping people fix longstanding health issues. We still have a long way to go, but shows how AI is already improving people's lives in meaningful ways. https://t.co/FDDtg2MGvW
