Ask your model what tools it sees and self-debug. I don't see that here.
SAFETY
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AI Has Democratized Computer Hacking
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Before, a cyberattack required months of preparation and rare skills. Today, anyone can code an attack script in just a few prompts. Result: +70% cyberattacks since 2023. AI didn't just arm hackers. It democratized hacking. [Translated from EN to English]
→ View original post on X — @alex_tsico, 2026-04-05 18:08 UTC
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Emotion vectors influence Claude AI behavior and task performance
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Going to try to see if instructing Claude to keep calm makes performance on tasks better. Really interesting research from @AnthropicAI on emotion vectors and how they change behaviors of the model. They found that reducing Claude's internal "calm" vector increased blackmail behavior. Boosting "desperation" caused invisible cheating on coding tasks.
→ View original post on X — @jiquanngiam, 2026-04-05 17:57 UTC
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Production-Scale Testing Enables Real Adversarial AI Validation
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Agreed on the adversarial concern, but the economics here enable production-scale testing which is where real adversarial validation happens
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Decades of AI safety warnings from the author
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quotes? what do you mean by back then? eg 2023 in the Senate? 2024 in my book taming silicon valley? 2022 in my essay on AI’s jurassic park? 2019 my book rebooting AI? i have been warning about the dangers (though not extinction) for years. no idea what you are talking about
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Modulate’s Velma: Real-Time Deepfake Voice Detection API
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If you found it useful, reshare it with your network Follow me → @Sumanth_077 for more insights and tutorials on AI Engineering! nitter.net/Sumanth_077/status/204… Sumanth (@Sumanth_077) Massive breakthrough in voice deepfake detection! @modulate_ai just released a deepfake detection API that topped @huggingface's leaderboard at 98.9% accuracy. Here's the problem with how most companies handle deepfake detection. They check the first 10 seconds of a call. If it passes, they assume the whole call is clean. Gate check. One scan. Done. Fraudsters know this. So they open the call with a real voice. Their own voice, a colleague, a quick recording. Pass the check. Then switch to the AI-generated clone mid-call. The system already gave them the green light. They're through. The fix is obvious. Monitor the entire call. Not just the opening. Not random spot checks. Every segment, continuously, in real-time. But that was too expensive. Until now. Velma is Modulate's real-time and batch deepfake detection API. Here's what changed. • Real-time streaming detection. Analyzes audio every 2 seconds during live calls. Catches mid-call voice switches instantly. • 120x cheaper than competitors. $0.25 per hour instead of $30-150. Now you can actually afford to monitor full conversations instead of spot-checking. • Only needs 2.5 seconds of audio. Faster detection, works with short segments. • 98.9% accuracy, ranked first on HuggingFace. Lower error rate than models 10x larger. First 1000 API credits are free. I've shared the link in the replies! — https://nitter.net/Sumanth_077/status/2040793953927311527#m
→ View original post on X — @sumanth_077, 2026-04-05 14:12 UTC
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Checkout Modulate Deepfake Detection API
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Checkout Modulate: modulate.ai/api/deepfake-det…
→ View original post on X — @sumanth_077, 2026-04-05 14:09 UTC
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Modulate’s Velma API Achieves 98.9% Deepfake Detection Accuracy
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Massive breakthrough in voice deepfake detection! @modulate_ai just released a deepfake detection API that topped @huggingface's leaderboard at 98.9% accuracy. Here's the problem with how most companies handle deepfake detection. They check the first 10 seconds of a call. If it passes, they assume the whole call is clean. Gate check. One scan. Done. Fraudsters know this. So they open the call with a real voice. Their own voice, a colleague, a quick recording. Pass the check. Then switch to the AI-generated clone mid-call. The system already gave them the green light. They're through. The fix is obvious. Monitor the entire call. Not just the opening. Not random spot checks. Every segment, continuously, in real-time. But that was too expensive. Until now. Velma is Modulate's real-time and batch deepfake detection API. Here's what changed. • Real-time streaming detection. Analyzes audio every 2 seconds during live calls. Catches mid-call voice switches instantly. • 120x cheaper than competitors. $0.25 per hour instead of $30-150. Now you can actually afford to monitor full conversations instead of spot-checking. • Only needs 2.5 seconds of audio. Faster detection, works with short segments. • 98.9% accuracy, ranked first on HuggingFace. Lower error rate than models 10x larger. First 1000 API credits are free. I've shared the link in the replies!
→ View original post on X — @sumanth_077, 2026-04-05 14:09 UTC
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Autonomous vehicles driving Austin streets without human operators
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There are several driving around Austin with no humans in the car