Imagine what will happen if DODGE replaces federal workers with these tools to perform all the tasks that expert federal workers do. We write “There is no “one weird trick” that removes experts & creates miracle machines that can do everything that humans can do, but better."
ETHICS
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Why AI Speech Recognition Got Worse Despite Hype
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In Scientific American, @asmelashteka & I ask: "In the age of unbridled AI hype, with the likes of Elon Musk claiming to build a “maximally truth-seeking AI,” how did we come to have less reliable speech recognition systems than we did before?"
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Deep Understanding of Reality Carries Intrinsic Dual Use Implications
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> Deep understanding of reality is intrinsically dual use. is a wonderful sentence (and broader insight).
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Hundreds of millions will let AI record everything they see
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At some point in the coming years, hundreds of millions of people will be allowing their AI to listen to and / or watch and record everything they hear and see. The people around them will often be unaware it’s happening. This will be weird for most, but become the norm.
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Anthropic CEO Warns of Large-Scale Industrial Espionage on AI Secrets
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Il existe des « secrets à 100 millions de dollars qui ne tiennent qu’en quelques lignes de code ».
— VISION IA (@vision_ia) 14 avril 2025
Le PDG d’Anthropic, Dario Amodei, redoute un « espionnage industriel à grande échelle ».
« Je suis sûr qu’il y a des gens qui essaient de les voler… et il se peut qu’ils y… pic.twitter.com/vc1iK2wjfbIl existe des « secrets à 100 millions de dollars qui ne tiennent qu’en quelques lignes de code ». Le PDG d’Anthropic, Dario Amodei, redoute un « espionnage industriel à grande échelle ». « Je suis sûr qu’il y a des gens qui essaient de les voler… et il se peut qu’ils y
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LLMs Show Lower Performance on Memorized Multiple-Choice Questions
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Large language models exhibit lower performance on memorized multiple-choice questions compared to non-memorized ones.
This counterintuitive finding suggests the coexistence of two distinct learning mechanisms: rote memorization and genuine capability acquisition. -
Employee word choices fail to convey true AI memory capabilities
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We see four different employee word choices here: 1) “expand memory”
2) “long-term memory”
3) “just the right details”
4) “remembers your previous conversations” None mention infinite context or perfect recall or (in my opinion) really anything that summons that feeling. -
AI Chat History Dynamic Preference Learning Over Time
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One thing I find a bit strange (or impressive? I don’t know) is that the past chat details can change over time. If that is replacing old preferences with new, it’s impressive. If that’s just randomly cherry picking and changing, it’s not. Again note here in purple that
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ChatGPT Memory Feature Raises Data Privacy Concerns
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OpenAI addresses sensitive information in the FAQ, but I can still see business owners turning the feature off. Yes, they trained ChatGPT “not to proactively remember sensitive information” but that doesn’t mean it always follows that instruction. Would continue to be wary of
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ChatGPT Data Retention and Training Privacy Settings
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Deleted memories may be retained for up to 30 days for “safety and debugging purposes”. Also remember you can turn off the “let my data help train the model” feature. But unless you’re only in temporary chats or your company has some sort of on-prem deployment of ChatGPT, it’s