timeless.
I’m a Harvard-educated lawyer and I don’t see the issue here.
🚨 New macOS backdoor alert: North-Korean hackers are disguising a Zoom update that drops malware built to hijack laptops and steal data & passwords. If you or your devs run macOS, keep scrolling.👇
Guys, I found it. A <Markdown /> component that smooths out stream's jankiness. llm-ui.com
RAG can’t keep up with real-time data. Graphiti builds live, bi-temporal knowledge graphs so your AI agents always reason on the freshest facts. Supports semantic, keyword, and graph-based search. 100% open-source.
Gemini 2.5 Pro and Flash now have the ability to return image segmentation masks on command, as base64 encoded PNGs embedded in JSON strings I vibe coded this interactive tool for exploring this new capability - it costs a fraction of a cent per image
Claude 3.7 Sonnet making a 3blue1brown kind of video like it's nothing the moment we have ai that makes videos like this, learning will be much different
LLM-as-a-Judge metrics are standard practice in the eval world, but have you ever used an "LLM jury"? Follow along with this free tutorial to learn how to ensemble multiple LLMs into a panel of experts that beats GPT-4 🔥
I really don’t get how Apple screwed this up so bad
Clicking “open in app” and then being taken to the App Store instead of the app opening will be my 13th reason
LinkedIn gonna be crazy when they find out about DeepSeek next week
Python is a great first programming language. Its main problem, it’s a toy language. Too bad many people didn’t realise that, and started using it in production seriously. And now we all suffer.
I see no difference between this and leetcode
found the opposite of a sugar daddy
Friendly reminder about this post by the creator of Ruby on Rails.
hello I'm new to the stock market is it good when the intel ceo starts praying
“Let your eyes look straight ahead; fix your gaze directly before you. Give careful thought to the paths for your feet and be steadfast in all your ways” Proverbs 4:25-26
Let's build a RAG app using MetaAI's Llama-3.1 (100% local):
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