Most AI ‘memory’ systems are just better copy-paste
vector DB ≠ memory similarity ≠ relevance agents fail after step 3–5 Where does your setup usually break? submitted by /u/BrightOpposite [link] [comments]
artificial
Wasting hundreds on API credits with runaway agents is basically a rite of passage at this point. Here’s mine.
I'm starting to think this is a shared experience now. Everyone I know building with agentic AI has the same quiet confession tucked somewhere in their git history. The weekend they left an agent running unsupervised. The invoice that arrived…
The sweet spot for AI-assisted writing is 50%
I've been running AI detection on the AI-assisted things I post. The pattern is consistent – it comes back 50% +/- 5% every time. I've started to think that this range is the target. 99% AI reads as outsourced. No stakes, no voice, no judgment….
Local LLM Beginner’s Guide (Mac – Apple Silicon)
If you're getting started with running local LLMs on a Mac (M1 or newer), here’s a rough breakdown of what you can expect based on RAM: 32–64 GB RAM Models: Qwen 3.6, Gemma 4 Performance: Comparable to Claude Sonnet-level models Good for: Daily us…
AI research is splitting into groups that can train and groups that can only fine tune
I strongly believe that compute access is doing more to shape AI progress right now than any algorithmic insight – not because ideas don't matter but because you literally cannot test big ideas without big compute and only a handful of organization…
Eu comecei a postar um personagem ia que eu fiz, Nao é grande coisa
submitted by /u/Roanixx7 [link] [comments]
Guys hate to break it to you… we don’t have the hardware for AGI
I just had to make sure we all know this, spread the word … don't question it. We would have to basically recreate the computer … Agi is not possible on gpu's submitted by /u/ModerndayDjango [link] [comments]
Building advanced AI workflows—what am I missing?
Hey everyone, I’ve been diving into advanced workflow orchestration lately—working with tools like LangChain / LangGraph, AWS Step Functions, and concepts like fuzzy canonicalization. I’m trying to get a broader, more future-proof understanding of this…
Researchers gave 1,222 people AI assistants, then took them away after 10 minutes. Performance crashed below the control group and people stopped trying. UCLA, MIT, Oxford, and Carnegie Mellon call it the "boiling frog" effect.
A new study from UCLA, MIT, Oxford, and Carnegie Mellon gave 1,222 people AI assistants for cognitive tasks — then pulled the plug midway through. The results: – After ~10 minutes of AI-assisted problem solving, people who lost access to AI perfo…
Wondering about a Theoretical Scenario
So, let's say that (somehow) some random guy in the middle of nowhere creates an algorithm that actually leads to the creation of true AI* / AGI. What should that guy even do? Making it open source would let absolutely anybody make AI. Of course, &…