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freigeist79

4 karma · joined June 24, 2025

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freigeist79··on AI 'kill switch' may need to be mandatory, Anthropic co-founder tells BBC
It always sounds as if the ai moves around from one system to the next, but of course that's not the case: ai is like a hacker acting from a server farm. So killing it is as simple as pulling the plug. But that's not the problem, the ai knows that. So, if it wants control, it would install malware, etc on critical systems and blackmail people.
freigeist79··on GLM-5.2 is the new leading open weights model on Artificial Analysis
it helps giving them a cli vision tool (curl to openrouter vision model for example)
freigeist79··on Kimi K2.7-Code: open-source coding model with better token efficiency
i use github copilot cli + openrouter + qwen 3.7 max and it's really much better than i expected (used to opus 4.7 at work)
freigeist79··on I want to wash my car. The car wash is 50 meters away. Should I walk or drive?
PHD-Level Intelligence
freigeist79··on We mourn our craft
If you were confident in your own skills, you wouldn’t need to invent a whole backstory just to discredit someone.
freigeist79··on He's Been Right About AI for 40 Years. Now He Thinks Everyone Is Wrong
Maybe he is right and LLMs are a dead end, maybe even the transformer architecture, but the attention mechanism isn't. Its the crucial genius part of today's AI and certainly can be used to create world models that dont just talk about things but really experience them.
freigeist79··on Code Mode: the better way to use MCP
you stole my idea seriously, i think it works so well because typescript is very clear in .. well type definitions. the llm can't get lost so fast between function calls because it understands exactly what data structures goes in and out.
freigeist79··on Ask HN: Does it still make sense to learn AI(fundamentals), if so, how?
Now is a great time to study AI. LLMs are just big neural networks , understanding how they work is most relevant. Yesterday I trained a small regression model on text embeddings for LLM preprocessing, classic ML is still very much in use. So it’s not too late at all. The fundamentals matter more than ever if you want to go beyond just calling APIs.