darkoob12

If Adobe doing it automatically by default and the user that shares it has no idea then yes.

They could have fixed this if they cared.

Did they just rename their AI lab to superinterlligence lab!!

It is pathetic

To my view Iran government is responsible like 50% for turning part of a military compund into a school. That was irresponsible and shows how little they care about the life of their citizens.

There are numerous applications that you don't need and don't want to give shell access to an llm.

Is it still gemini 3.6? It's crazy that i still have 3.6 and if you want 3.8 you need to use API.

My mental bias always kept me away from Chinese models. Because i know that china is a surveillance state and all the things we know about CCP. But after what we learned about OpenAI and how they most likely used user data to basically cheat in an open competition i think it does not matter which AI provider you use all of them will own your data and all of them can spy on you. So I am willing to switch to Chinese models. This way we help them develop and improve models some day we can run them locally.

then why did you spent 30 billion on stupid Iran war?

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It does. I believe he is one of the worst people and contributed to misery of humanity. I had nothing against him until he dismantled USAID. The richest man in the world did not go to a party on weekend to make sure that poorest men on the world have less help. He was basically on the side of HIV. So i never use his products.

Beside don't read too much in to benchmarks. They are alrrady ruined by Goldhart principle. Tgese models have already seen most of the data.

We are hooked to Google/Apple platforms by our banks and some government services.

I actually use Claude for finding stuff and recommendations. like "Find me a decent shoe with blah blah conditions" this query now goes to LLM Chat instead of google search. I use google search to find the url of something that i know exists like find the website of a company or finding address of a store.

Why don't they rebind them and put it back in some library? They don't have to throw it out.

One thing about local llm projects is that they don't mention the maximum context length which for this project is 4k. I think for it to be used with a harness you need at least 200k and reliable tool calling and structured output which obviously degrade at high quantizations.

I always wanted to learn more about scripting. But today I am not as passionate as before because LLMs write working scripts most of the time. I am wondering if it is true for most programming techniques and quirks. Are we going to write code to solve low level problems?

The other day there was a blog post about learning SIMD. I think in future "programmers" will just nag about the speed of the program and the coding assistant will eventually introduce SIMD to the source code.

It is a little sad but we have to go with the current if we want to survive.