• 4 Posts
  • 94 Comments
Joined 1 year ago
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Cake day: June 4th, 2023

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  • Many years ago, folks figured out how to crack firmware and find embedded keys. Since then, there have been many technological advances, like secure enclaves, private/public key workflows, attestation systems, etc. to avoid this exact thing.

    Hopefully, the Rabbit folks spec’d a hardware TPM or secure-enclave as part of their design, otherwise no amount of firmware updating or key rotation will help.

    There’s a well-established industry of Android crackers and this sort of beating will keep happening until morale improves.
















  • I just met someone who was going through the same question. They decided to take a two-year course and become a Physical Therapist, focusing on the elderly.

    Said options were working with a medical group, at a nursing home, visiting people at home, or opening an office. Maybe a combination.

    Their thinking was there was no way to get ‘disrupted’ and there would be endless demand. Made a lot of sense.




  • You still need a massive fleet of these to train those multi-billion parameter models.

    On the invocation side, if you have a cloud SaaS service like ChatGPT, hosted Anthropic, or AWS Bedrock, these could answer questions quickly. But they cost a lot to operate at scale. I have a feeling the bean-counters are going to slow down the crazy overspending.

    We’re heading into a world where edge computing is more cost and energy efficient to operate. It’s also more privacy-friendly. I’m more enthused about a running these models on our phones and in-home devices. There, the race will be for TOPS vs power savings.