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Joined 1 year ago
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Cake day: July 5th, 2023

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  • The approach of LLMs without some sort of symbolic reasoning layer aren’t actually able to hold a model of what their context is and their relationships. They predict the next token, but fall apart when you change the numbers in a problem or add some negation to the prompt.

    Awesome for protein research, summarization, speech recognition, speech generation, deep fakes, spam creation, RAG document summary, brainstorming, content classification, etc. I don’t even think we’ve found all the patterns they’d be great at predicting.

    There are tons of great uses, but just throwing more data, memory, compute, and power at transformers is likely to hit a wall without new models. All the AGI hype is a bit overblown. That’s not from me that’s Noam Chomsky https://youtu.be/axuGfh4UR9Q?t=9271.








  • Experts believe the SEC faces significant challenges if it proceeds with fraud charges. “Courts typically prefer fraud cases that involve clear false statements,” said Fagel. “Transforming a regulatory violation into fraud, especially one involving delayed disclosure, can be an uphill battle.”

    James Park, a securities law expert at UCLA, added, “Regulators could potentially frame this as a case of market deception, which complicates matters compared to straightforward falsehoods. It’s a nuanced issue but significant enough to warrant serious consideration.”

    The biggest thing in their favor is a firefighters pension that sold at a lower than expected price if he had made the disclosure. They’re not wrong, but it’s a lie of omission type thing. We’ll see if it flies over the next 5 years of appeals and shenanigans. Meanwhile he wrote himself a check on Tesla stockholders dime to cover the Twitter fuck up. I’m betting he fucks them over as Tesla spirals into a crater.



  • The fingerprinting I’m talking about gets encoded in the screen recording too. Subtle pixel changes here or there over the entire length of the video. It’ll be lossy when it’s transcoded, but over the whole video it’s there enough times it won’t matter. Even scaling to lower quality won’t fix it and then it’ll also be lower quality.

    It’ll be like DRM, there will be people trying to remove it like anything else. They’ll break one thing and another will come along. There would still be a black market, but most people can get an unrestricted copy in exchange for money so there’s one less reason to pirate.

    Unless you’re actually pointing a camera at the screen, then OK, you do you.






  • Your ISP is doing it wrong, which I guess you already know. I get a /64 net via DHCPv6 for my LAN which is pretty standard.

    +1 to dual stack. Too much of the internet is v4 only, missing AAAA, or various other issues. I’ve also had weird issues where a Google/Nest speaker device would fail 50% of the time and other streaming devices act slow/funky. Now I know that means the V6 net is busted and usually I have to manually release/renew. Happens once every few months, but not in a predictable interval.

    Security is different, but not worse IMO. It’s just a firewall and router instead of a NAT being added in. A misconfigured firewall or enabling UPnP is still a bad idea with potentially worse consequences.

    Privacy OTOH is worse. It used to be that each device included a hardware MAC as part of a statelessly generated address. They fixed that on most devices. Still, each device in your house may end up with a long lived (at least as long as your WAN lease time) unique IP that is exposed to whatever sites you visit. So instead of a unique IP per household with IPv4 and NAT, it’s per network device. Tracking sites can differentiate multiple devices in the house across sites.

    This has me thinking I need to investigate more on how often my device IPv6 (or WAN lease subnet) addresses change.