With our CodeLLM, you can ask AI to edit your code in-place by selecting a code block. We also have streaming responses and you can easily insert code. Try it out with ChatLLMs
GENERATIVE AI
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DeepSeek Open Source AI Benefits Meta and Entire Community
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It's actually very good for Meta and the rest of the open source AI world.
Since DeepSeek published the techniques and open sources the code, whatever innovation they came up with will make it to other models, including Llama.
Everyone wins.
The only parasites are the ones who -
Meta’s Open Source Strategy and AI Foundation Model Commoditization
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That would be a bull case for Meta, which has 3.3 billion pairs of eyeballs on its various services. The idea that the interface to users matters and the underlying AI foundation model will become commoditized is one reason for Meta's open source strategy. And that's not
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Anthropic’s Jailbreak Demo Tested
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Anthropic just released a demo system where users can try to jailbreak their system My Monday evening is wasted now. Let's see if o3-mini-high can do anything there
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Constitutional Classifiers Demo: Security Challenge for AI Safety
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Can you do better than our red teamers? We’ve made a demo system protected by Constitutional Classifiers. We challenge you to jailbreak it to help us make our defenses even stronger. Try the demo: http://
claude.ai/constitutional
-classifiers
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Constitutional Classifiers: Flexible AI Defense Against Novel Attacks
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Constitutional Classifiers aren’t perfect. We recommend using other complementary defenses, such as rapid-response techniques. Nevertheless, our method is flexible, and the constitution can quickly be adapted to cover novel attacks. Read the full paper:
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AI System Passes Rigorous Jailbreak Testing After Red Teaming
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We challenged jailbreakers to try to break a prototype version of the system to test its robustness. After thousands of hours of red teaming, not one participant found a reliable jailbreak that extracted detailed information across a set of 10 harmful questions.
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Constitutional Classifiers Reduce Jailbreak Effectiveness with Compute Trade-offs
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In an experiment with synthetic jailbreaks, Constitutional Classifiers dramatically reduced jailbreak effectiveness. They increased refusal rates by a small amount (+0.4%) and increased compute overhead (+24%). We're working on reducing these costs.
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LLM Classification Systems Trained on Constitutional Harm Prevention
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Our algorithm trains LLM classification systems to block harmful inputs and outputs based on a “constitution” of harmful and harmless categories of information.
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Anthropic releases constitutional classifiers against universal jailbreaks
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New Anthropic research: Constitutional Classifiers to defend against universal jailbreaks. We’re releasing a paper along with a demo where we challenge you to jailbreak the system.