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riknos314

HN member
Joined
Fri, Aug 14, 2015, 12:22 AM UTC
HN karma
613
Public activity
177 items

About riknos314

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Recent public activity

  1. comment
    Comment #49214629

    As long as the linguistics are the issue rather than raw inability to understand the concepts being communicated, then the model is just being a bad communicator.

  2. comment
    Comment #49213582

    The code is the "how", the problems that people need solved are the "why". The code is merely an implementation detail. For most problems solvable in code, there are literally infi…

  3. comment
    Comment #49203489

    Aws is an infrastructure company that builds services on top of that infra to sell more of it at a higher margin. Anthropic trains models on AWS's (and GCPs, and Microslop's) infra…

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    Comment #49203396

    The $200 sub is customer acquisition cost to hook devs that then become the marketing team trying to get their company to bring in Claude (at the highly profitable API price).

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    Comment #49203104

    Effective jargon usage is understood by the target audience. If the AI is communicating to me and can't select the appropriate jargon level, it's failing at communicating effective…

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    Comment #49202200

    While smoked turkey (from Reese bros) is easily the best poultry I've ever had, I certainly would not call poultry the best place to start learning smoking. In general I'd recommen…

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    Comment #49170252

    > if the build is fast. ...and the build doesn't require any tools that aren't already on your machine, and there are no dependencies to download Many of the best tools I use are w…

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    Comment #49105866

    I'm missing an accuracy vs bits graph here. Cool to see this running but if it's at 10%+ loss vs 16bit that's less cool. Hard to understand that story from what's published here.

  10. comment
    Comment #49076743

    https://artificialanalysis.ai/evaluations/artificial-analysi...

  11. comment
    Comment #49074028

    Qwen 3.5 27B also scores higher than 3.5 122BA10B. So even in the same generation the smaller dense model outperformed the larger MOE

  12. comment
    Comment #49039562

    Iirc the ban only applied to non-Americans. While anthropic found collecting citizenship information on all customers too burdensome, it's a much smaller lift to collect such info …

  13. comment
    Comment #49011179

    If it's true that in under 15 days of access significant improvements were realized in K3, then the moat of closed-weight models is far smaller than previously thought. Doesn't bod…

  14. comment
    Comment #48916964

    And corn which was used to make energy (as ethanol) at a fraction of the land efficiency of solar. https://www.anthropocenemagazine.org/2025/04/new-study-compa...

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    Comment #48864159

    Assuming all 64 subagents were running for a full hour (the tweet states just under an hour): Throughput Output tokens Output cost ---------------------------- ------------- ------…

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  18. comment
    Comment #48676799

    Let's use an example of a GW AI deployment. At $0.07/kWh, that costs $70,000 every hour in just electricity. $1.7 million /day. $613 million /year. I had claude estimate the GPU co…

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    Comment #48467806

    > All these points are valid, and OpenAI did a great job identifying potential risks, especially misuse and biases, at an early stage. Many of the OpenAI employees who were focused…

  23. comment
    Comment #48456298

    Are teaching and software engineering even job categories that overlap enough that they should compete for the same pool of visas? It seems to me things would be better if they wer…

  24. comment
    Comment #48420812

    > There was a change that took place in the late 70s it looks like https://wtfhappenedin1971.com/

  25. comment
    Comment #48362401

    Unfortunately in the current market 32GB of ddr5 seems to run about $400 as 2x16gb DIMMS, and even more for 1x32GB DIMM (higher density chips are more expensive). So $600 really is…