Iran Threatens "Complete And Utter Annihilation" Of OpenAI's $30BN Stargate Data Center In Abu Dhabi zerohedge.com/geopolitical/i… [Translated from EN to English]
→ View original post on X — @olivierrimmel, 2026-04-05 21:50 UTC
CYBERSECURITY
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Edge Computing and Local LLMs: The Future of AI Privacy
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Been playing with Gemma running locally on my Pixel phone and it feels magical. To think that years ago we could not remotely imagine such a powerful LLM running in your pocket with no connectivity whatsoever. I wonder how many scenarios for LLMs will start shifting the cost to the edge to get "free" computing with added privacy and control over your data. I can't imagine how companies that only monetize inferencing and nothing else will stay above the water. Either they make/sell hardware or they must add value on top of it, otherwise they become mostly an inconvenience in the middle.
→ View original post on X — @clementdelangue, 2026-04-05 18:31 UTC
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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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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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Skull Vibrations as Next-Generation Password Authentication Technology
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Vibrations in your skull may be your next password
by Rutgers University @TechXplore_com Learn more: https://
bit.ly/4m8EyHZ #EmergingTech #Innovation #Tech #Technology -
Intelligence Services Can Easily Penetrate Technology Secrecy Systems
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I expect the secrecy around them is easily penetrated by any remotely competent intelligence service – thousands of people must be in the loop, and they will have signed NDAs, not military-grade secrets laws
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Ukraine Leverages AI-Guided Warfare for Asymmetric Advantage
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Ukraine showing how AI-guided war leads to asymmetric advantage. This has a lot to do with @PalantirTech’s Project Maven. https://t.co/3ucylnyaqH
— Nina Schick (@NinaDSchick) 4 avril 2026Ukraine showing how AI-guided war leads to asymmetric advantage. This has a lot to do with @PalantirTech
’s Project Maven.