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brie

brie@programming.dev
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LLMs are not programmed in a traditional way. The actual code is quite small. It mostly runs backprop, filters the data. It is already easily generated by LLMs.

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AGI or human level intelligence has a hardware problem. Fabs are not going to be autonomous within 20 years. Novel lithography and cleaning methods are difficult for large groups of humans. LLMs do not provide much assistance in semiconductor design. We are not even remotely close to manufacturing the infrastructure necessary to run human level intelligence software.

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With current kWh/token it’s 100x of a regular google search query. That’s where the environmental meme came from. Also, Nvidia plans to manufacture enough chips to require global electricity production to increase by 20-30%.

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Pedantic types always mention that secure is only relevant in the context of a particular threat model. The elderly can use hardware authentication like those RSA devices or ubikey. Unfortunately, this is expensive, and banks don’t believe there’s demand for that. Would you switch banks for this feature?

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Watch the video again to see how hard it was for Derrick to get access. He got it via his telecom/academia researcher contact.

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Is it more effective than feeding them via TikTok, Twitter, Instagram?

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S7 will be retired or extended with access control. TOTP apps don’t work for edge cases like broken phone. Dedicated token devices get lost. SMS will continue being the main solution for 2FA.

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Simply paying is not sufficient. You need to be a telecom company, or a researcher afaik.

In what world would the US gov care to get into your bank account? Or your Facebook account when it’s already tightly controlled?

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Not true. SMS is encrypted in 3G, LTE, 5G. Block cyphers like Kasumi and A/9 are used. SMS is reasonably secure, because it’s hard to infiltrate telecom systems like S7

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