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harisec

Re:Show HN: Steal My Bitcoin on Sunday October 25, 2026 @10:39AM (#50232044)
This is basically 2k for a Cloudflare 0day, because you need to bypass Cloudflare to exploit the service.
Re:Grok 4.5 on Thursday July 09, 2026 @02:40AM (#48841818)
Trying to use it via openrouter: "The model grok-4.5 is not available in your region."
This: User just tricked Grok and Bankrbot to send tokens with Morse code

https://www.cryptopolitan.com/user-tricked-grok-bankrbot-to-...

Unfortunatelly, i have the same experience.
Re:The Llama 4 herd on Sunday April 06, 2025 @01:04PM (#43602966)
Yes, during training multiple checkpoints are created, you can distill from any checkpoint you want.
Re:Grok3 Launch on Tuesday February 18, 2025 @08:06AM (#43089030)
Anybody can try Grok3 on Chatbot Arena (even if you are in Europe). Select Direct Chat and select the model early-grok-3. https://lmarena.ai/
Re:Bluesky is currently gaining more than 1M users a day on Sunday November 17, 2024 @06:19AM (#42163493)
It doesn’t matter much how many users Bluesky is gaining, it matters how many of them will be using Bluesky in a few months. We will see.
Re:Francois Chollet is leaving Google on Thursday November 14, 2024 @08:51AM (#42136118)
Congrats, good luck with your new company!

I have one question regarding your ARC Prize competition: The current leader from the leaderboard (MindsAI) seems not to be following the original intention of the competition (fine tune a model with millions of tasks similar with the ARC tasks). IMO this is against the goal/intention of the competition, the goal being to find a novel way to get neural networks to generalize from a few samples. You can solve almost anything by brute-forcing it (fine tunning on millions of samples). If you agree with me, why is the MindsAI solution accepted?

Recraft’s image generation service could leak its internal system prompts due to its unique architecture combining Claude (an AI language model) with a diffusion model. Unlike other image generators, Recraft could perform calculations and answer questions, which led to the discovery that carefully crafted prompts could expose the system’s internal instructions.
Re:Everything I built with Claude Artifacts this week on Thursday October 24, 2024 @08:20AM (#41934773)
Actually, i think it will take less than 2 years. I've been using Aider + Claude 3.5 Sonnet almost daily for a long time and the progress is very fast. We will see.
Re:Everything I built with Claude Artifacts this week on Thursday October 24, 2024 @02:24AM (#41932512)
That's a good point and I agree with you. However, would you agree that in a few years we will need far less developers than we need right now?
Re:Everything I built with Claude Artifacts this week on Thursday October 24, 2024 @02:08AM (#41932413)
These are toys but in 2 years they will probably be full projects and 2 years later people will ask "why do i need a software developer?"
Re:Everything I built with Claude Artifacts this week on Thursday October 24, 2024 @02:04AM (#41932400)
If you want to really get depressed about the future of software developers try aider.
Re:Un Ministral, Des Ministraux on Wednesday October 16, 2024 @12:16PM (#41860876)
I never had this problem but i guess it depends on the prompt.
Re:Un Ministral, Des Ministraux on Wednesday October 16, 2024 @11:46AM (#41860447)
Qwen 2.5 models are better than Llama and Mistral.
There are no "LLM-generated images". These images are generated using diffusion models. LLMs are very different from diffusion models.

https://en.m.wikipedia.org/wiki/Diffusion_model

Re:Learning to Reason with LLMs on Friday September 13, 2024 @04:54AM (#41529346)
I asked a few “hard” questions and compared o1 with claude. https://github.com/harisec/o1-vs-claude
If you use DeepSeek Coder V2 0724 (that is #2 after Claude 3.5 Sonnet on the Aider leaderboard), the costs are very, very small. https://aider.chat/2024/07/25/new-models.html
aider is great, i also use it almost daily. thanks for writing it Paul!
I agree, I suspect the HuggingFace dataset that I've used is not that randomly distributed and it mostly contains prompts related with those themes. How it works is that I randomly select 5 random prompts from the dataset and use those prompts as seed for new prompts. The complete DeepSeek prompt to generate new prompts can be found here: https://github.com/harisec/llm-dreams
All images in the LLM Dreams gallery are generated using the Flux model from the Black Forest Team, powered by the fal.ai API. The prompts for these images were brainstormed by DeepSeek, drawing inspiration from existing Stable Diffusion prompts found in the Gustavosta/Stable-Diffusion-Prompts dataset on Hugging Face. All the code was written by Claude.

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