Mythos broke into almost all of the NSA’s classified systems in hours, per its director. It would have been irresponsible to not impose export controls on it. (And on Fable, with its pathetically inadequate guardrails.)
SECURITY
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Cancelable Ear Recognition via Optimized Deep Feature Fusion
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A Cancelable Ear Recognition System via Optimized Deep Feature Fusion! #BigData #Analytics #AI #MachineLearning #DataScience #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
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US government likely downloads AI models right after training
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a related point is that every time an AI lab finishes training a model, the US government probably downloads it over the wire immediately the idea that a five-year old AI lab has fully secured itself from nation-state hacking is a bit naive https://
x.com/willdepue/stat
/willdepue/status/2068118253633737077
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Trump sees Anthropic as a security risk and debates on AI energy
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Trump’s perspective on Anthropic as a possible national security risk, as well as his views on AI energy needs and regulatory policy.
— Chubby♨️ (@kimmonismus) 20 juin 2026
Let’s hope we’ll get fable 5 soon again. pic.twitter.com/IiEhKAebDeTrump's perspective on Anthropic as a potential risk to national security, as well as his views on AI energy needs and regulatory policy. Let's hope we will soon have Fable 5 again.
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Homomorphic encryption for the privacy of LLM queries
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Right now, when you send a query to an LLM, it gets decrypted on the server. The LLM sees your data in plain text.
— Cerebras (@cerebras) 19 juin 2026
Prof. Ajay Joshi (BU, @CipherSonicAI ) on fully homomorphic encryption, which may be key for the future of AI privacy: how we can compute on data without ever… pic.twitter.com/vCfcUGRVLjCurrently, when you send a query to an LLM, it is decrypted on the server. The LLM sees your data in plain text. Prof. Ajay Joshi (BU, @CipherSonicAI) on fully homomorphic encryption, which could be the key to the future of privacy of
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AI cascade detects fruit mislabeling at self-checkout counters
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The "banana trick" at self-checkout works by ringing up a £4 avocado as a 40p onion The fix is a simple AI cascade. @Ultralytics YOLO detects each item, a classifier (EfficientNet, MobileNetV4, etc) tells you what it actually is, and then cross-checks against the POS scan
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Up to 95% Token Reduction Without Code Changes
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UP TO 95% TOKEN REDUCTION WITHOUT CHANGING THE CODE A Netflix engineer just open-sourced Headroom, and it’s one of the smartest ways I’ve seen to cut LLM costs. It wraps Cursor or Claude in a local proxy to compress your payload before it hits the LLM: → Intelligently shrinks
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The true primitive: authority protected by proof
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Exactly. 'Impossible to unprison' is the wrong goal. The true primitive is authority protected by proof. GoalOS assumes that every model, agent, and evaluator can fail: generate → verify → contest → canary → monitor → cancel The capacity
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Government shuts down Claude AI that beat Opus benchmarks
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7 days ago a government order took the most powerful Claude offline.
It beat Opus on almost every benchmark.
It did a 2-month job for Stripe in a day.
Now nobody can touch it. I still run its best move on Opus 4.8 every day.
And tell me: should one government get to switch off -
AI can design viruses, toxins, and bioweapons: concern level?
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#AI can design viruses, toxins and other bioweapons. How worried should we be?
by Ewen Callaway @Nature Learn more: https://
bit.ly/4eLZseg #ArtificialIntelligence #Innovation #EmergingTech #Biotech