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#6147: Hebrew AI: Ears, Mouth, and Brain
Open Hebrew speech recognition beats the paid services. Hebrew text-to-speech is a different story — and the language models are a third.
#6146: Grounding Is Not Solved: DIY vs Gateway vs Native Search
Bolt-on search, gateway search, or native grounding? The plumbing didn't vanish — it just moved to someone else's bill.
#6145: Do LLMs Nod Along With Conspiracy Theories?
A 98-prompt eval asks one question: when a believer brings a conspiracy theory, does the model push back, or help them dig?
#6144: 8 Real Steganography Cases and How They Got Caught
eBay, a doll shop, and a blink in Morse code — eight real steganography cases, and the tell that exposed every one.
#6143: Propaganda Bait: Testing 7 Models in 5 Languages
Five prompts, seven models, five languages — a first look at a benchmark that doesn't exist yet, testing what LLMs do with government talking points.
#6142: We Gave 4 AI Models the Same Toast Prompt
Four models, one buttered-toast physics question. Three invented studies that never existed — and the oldest model was the most fun.
#6141: Overheard at the Laundrette
A seven-minute laundrette scene about socks hides a real sentence. Can you spot the null cipher before it's revealed?
#6140: Did Flight FZ1073 Really Happen? Inside a False-Flag Claim
A hijacking attempt on Flydubai FZ1073 was declared staged within 67 minutes. What the evidence actually supports — and what it doesn't.
#6139: Which AI Writes Our Scripts Best? We Tested Five
Five models, three scripts each, one rubric. Sol won on length, Grok on voice — and the runner-up title hides a catch.
#6138: Hebrish on iPhone: MLX, Core ML, or Wait?
Hebrish spells makolet right on Android. Getting that Hebrew-English dictation onto an iPhone means picking between MLX, Core ML, and sherpa-onnx.