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Greg Clarke

@ Greg @lemmy.ca

Posts
10
Comments
235
Joined
4 yr. ago

  • Is this just a weird pregnancy announcement?

  • Zuck only cares about his privacy

  • I haven’t checked the ToS in a while but last I checked it was 50mb upload limit for the free tier and a loosely policed no video streaming. And they don’t shut you down if you send files larger than 50mb, the upload just fails. I served over 8 million requests through the free tier last month.

  • Use Cloudflare's free tier tunnel

  • I agree and I think this comes back to execution of the technology as opposed to the technology itself. For context, I work as an ML engineer and I’ve been concerned with bias in AI long before ChatGPT. I’m interested in other folks perspectives on this technology. The hype and spin from tech companies is a frustrating distraction from the real benefits and risks of AI.

  • But I don’t think it’s the best option if you consider everyone involved.

    Can you expand on this? Do you mean from an environmental perspective because of the resource usage, social perspective because of jobs losses, and / or other groups being disadvantaged because of limited access to these tools?

  • It is the best option for certain use cases. OpenAI, Anthropic, etc sell tokens, so they have a clear incentive to promote LLM reasoning as an everything solution. LLM read is normally an inefficient use of processor cycles for most use cases. However, because LLM reasoning is so flexible, even though it’s inefficient from a cycle perspective, it is still the best option in many cases because the current alternatives are even more inefficient (from a cycle or human time perspective).

    Identifying typos in a project update is a task that LLMs can efficiently solve.

  • Ugh, I was hopeful that this wasn’t true but unfortunately you are correct. Thanks for the link.

  • Oh yes, you are correct. “ReTruths” should have given it away 🤦‍♂️

  • Kash Patel’s twitter handle is Kash_Patel.

  • Microhard?

  • except genAI has proven no purpose

    Generative AI has spawned an awful amount of AI slop and companies are forcing incomplete products on users. But don't judge the technology by shitty implementations. There are loads of use cases where when used correctly, generative AI brings value. For example, in document discovery in legal proceedings.

  • 100% and like any tool, it can be used poorly resulting in AI bit rot, bugs, unmaintainable code, etc. But when used well, given appropriate context, by users that know what good solutions looks like, it can increase developer efficiency.

  • The author seems to think that OpenAI having an unsustainable business model means generative AI is a con. Generative AI doesn’t mean OpenAI 🤦‍♂️ There is a good chance that the VC funds invested in OpenAI will have evaporated in 5 years. But generative AI will exist in 5 years, it will be orders of magnitude more useful, and it will help solve many problems.

  • I grew up coding but don’t read sci-fi. You need to expand your idea on what a good motived coder looks like. It sounds like you’re in a bubble.

  • Plus you can give out really stupid email addresses that work

  • As an Australian living in Canada I find winters difficult after a few weeks. So I usually plan a trip south in February. I’m trying to get better about winter sports like cross country skiing. I have a 3yo now which helps, I can learn about winter fun and games through her

  • ApplesEdit: I steal my neighbours apples

  • lol, that backronym is a bit of a stretch. Saying “I have a photic sneeze reflex” explains what I have. Saying “I have Autosomal-dominant Compelling Helio-Ophthalmic Outburst” makes me sound I’m having a stroke and saying “I have ACHOO” makes me sound stupid 😅