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"Vectors are the fundamental way AI models understand and process information. Small vectors describe simple attributes, such as a point in a graph, while “high-dimensional” vectors capture complex information such as the features of an image, the meaning of a word, or the properties of a dataset. High-dimensional vectors are incredibly powerful, but they also consume vast amounts of memory, leading to bottlenecks in the key-value cache, a high-speed "digital cheat sheet" that stores frequently used information under simple labels so a computer can retrieve it instantly without having to search through a slow, massive database. Vector quantization is a powerful, classical data compression technique that reduces the size of high-dimensional vectors. This optimization addresses two cri...

submitted by /u/ipottersmith [link] [comments]

Something interesting happened this month. March 11: Perplexity announced Personal Computer. An always-on Mac Mini running their AI agent 24/7, connected to your local files and apps. Cloud AI does the reasoning, local machine does the access. March 16: Meta launched Manus "My Computer." Same idea. Their agent on your Mac or Windows PC. Reads, edits local files. Launches apps. Multi-step tasks. $20/month. March 23: Anthropic shipped computer use and Dispatch for Claude. Screen control, phone-to-desktop task handoff, 50+ service connectors, scheduled tasks. Three separate companies. Same architecture. Same two weeks. I've been running a version of this pattern for months (custom AI agent on a Mac Mini, iMessage as the interface, background cron jobs, persistent memory across sessions)....

submitted by /u/Automatic_Subject463 [link] [comments]

submitted by /u/esporx [link] [comments]

MiMo-V2-Flash is open source, scores 73.4% on SWE-Bench (#1 among open source models), and costs $0.10 per million input tokens. That's comparable to Claude Sonnet at 3.5% of the price. MiMo-V2-Pro ranks #3 globally on agent benchmarks behind Claude Opus 4.6, with a 1M token context window, at $1/$3 per million tokens. Opus charges $5/$25 for similar performance. The lead researcher came from DeepSeek. The Pro model spent a week on OpenRouter anonymously and the entire community thought it was DeepSeek V4. At what point do Western AI companies have to respond on pricing? Or is the argument that reliability, safety, and enterprise support justify the 10x premium? submitted by /u/jochenboele [link] [comments]

submitted by /u/tekz [link] [comments]

That’s what the they keep saying. I’ll tell you what comes next. If you do not change. If I don’t change. If we don’t change it will continue to consume you, me, us in ever more sophisticated and complete ways. I’ve interviewed more tech job seekers looking for work right now than anyone in the world. People need jobs now. But they need meaning too. Whether we like it or not. We are headed back to the farm. Back to village. Back to our nature and what millions of years of evolution hard coded into us. The question is whether we go soon and joyfully and willingly. Or run back in a panic. They are right. We are not prepared for what comes next. But we can be. That is what I believe we are headed for. What do you think? submitted by /u/nomadicsamiam [link] [comments]

submitted by /u/esporx [link] [comments]

I have ADHD and I've been pair programming with LLMs for a while now. At some point I realized the way they fail felt weirdly familiar. Confidently making stuff up, losing context mid conversation, brilliant lateral connections then botching basic sequential logic. That's just... my Tuesday. So I went into the cognitive science literature. Found six parallels backed by independent research groups who weren't even looking at this connection. Associative processing. In ADHD the Default Mode Network bleeds into task-positive networks (Castellanos et al., JAMA Psychiatry). Transformer attention computes weighted associations across all tokens with no strong relevance gate. Both are association machines with high creative connectivity and random irrelevant intrusions. Confabulation. Adults ...