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Very excited about all of this, especially personalization. A model that knows you will be more helpful for you!

aeon.co/essays/no-schr… Great post.

Take a look at this @ULAlaunch clip of the first Kuiper satellites being released into low Earth orbit approximately 280 miles above the planet. Deployment takes place over a 15-minute period after launch, with satellites released three at a time from the dispenser system.

I want to share my latest (very short) blog post: "Active Learning vs. Data Filtering: Selection vs. Rejection." What is the fundamental difference between active learning and data filtering? Well, obviously, the difference is that: 1/11

AI Agents vs. Agentic AI Interesting paper summarizing distinctions between AI Agents and Agentic AI. It also talks about the key ideas, solutions, and the future. Here are my notes:

Why We're Unlikely to Get Artificial General Intelligence Any Time Soon msn.com/en-in/money/ne…

Everybody is doing AI agents these days. Here's a great example of an application that gets it right: Genspark AI Sheets lets you literally talk to your spreadsheets. Upload your files, ask any data analysis question, and it automatically analyzes everything, pulls the info,

thenewstack.io/the-windows-su…

Here's one good sign: there's been some really nice progress on adapting our open Gemma multimodal models to translate American Sign Language to English.

Climate scientists are hosting a 100-hour YouTube livestream in response to Trump's research funding cuts space.com/science/climat…

this project stores millions of text chunks inside a video file (mp4) then runs sub-second semantic search on it - no vector DB, no servers - uses 10x less RAM & storage - no internet required it's called Memvid and it just broke my brain

Solid Python Cheatsheet (this is basically 90% of Python)

Hugging Face MCP server just dropped Connect your LLM to Hub APIs directly from Cursor, VSCode, Windsurf and other MCP apps

The new Gemini 2.5 Pro is SOTA at long context, especially capable on higher number of items being retrieved (needles) as shown below!

Training on random strings -- interesting methodology here, and neat quantified findings

The Illusion of Thinking in LLMs Apple researchers discuss the strengths and limitations of reasoning models. Apparently, reasoning models "collapse" beyond certain task complexities. Lots of important insights on this one. (bookmark it!) Here are my notes:

OpenAI、谷歌和Anthropic刚刚发布了关于以下内容的指南： • 提示工程 • 构建智能体 • 人工智能在商业中的应用 • 601个人工智能使用案例 你不能错过的9本最佳指南：

apple.slashdot.org/story/25/06/08…

Very exciting to see our Gemini 2.5 Pro and 2.5 Flash models become "generally available" (which gives long term support commitments without changing the model), as well as a preview release of a new 2.5 Flash Lite model that offers very low latency & pricing for many uses! 🎉

slashdot.org/story/25/06/17…