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.

While I wish Musk wasn’t a Canadian citizen, I don’t think we should set a precedent for stripping citizenship from Canadians

I don’t want to get my hopes up but is this Facebook’s MySpace moment?

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 🤦‍♂️

What are you hosting and who are your users? Do you receive any legitimate traffic from AWS or other cloud provider IP addresses? There will always be edge cases like people hosting VPN exit nodes on a VPS etc, but if its a tiny portion of your legitimate traffic I would consider blocking all incoming traffic from cloud providers and then whitelisting any that make sense like search engine crawlers if necessary.

Kash Patel’s twitter handle is Kash_Patel.

Focus on the wisdom instead of the semantics

How did you meet? And if you went on a honeymoon, where did you go?

Microhard?

one night stand with a really hot 18 year old woman

This post is a weird flex

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.

Welcome! Glad to have you here

@[email protected], do you know what the catalyst was for the recent influx? It’s great news!

Well I challenge every newbie to create 72 new posts over the first 1 to 3 h here!

Welcome new folks!