anthlax

Coming at this from a diffeeent angle, does anyone have any links to tutorials for use-cases? I’d love to see what vectorDB hype is about but as a regular engineer I’m unable to even grasp how to use a vectorDB

The articles conclusion is explicitly that there is no valuable literature on the subject

This theory makes sense but since the loan is essentially risk free, why are private student loan interest rates roughly 10%?

Perhaps the above comment means that the secondary factors affect the denominator - i.e more people go hiking on Saturday, so entering the Saturday lottery is worse than entering the Wednesday one

How do you know?

Perhaps you meant slashdot.org - this is a typo squatter

Thanks!

Slash dot

Link to this?

I’ll be moving to SF in the next month. Anecdotally rents are still hovering at ~3.3k in the mission to ~4k in e.g polk gulch.

1b1b, 750sqft

Call for regulation then threaten to pull out of EU because of regulation?

W transparency

Google will absolutely not sell Waymo after such an incredibly steep investment.

My current favorite corp speak is “we can’t wait to share it with you”. Seems like it’s in literally every product announcement. At least this one is positive

Step 1: stop reading chatGPT / AI news

Some notes: - based on GPT3.5 - essentially, the test was “how well can GPT produce ML code” (tune hyper parameters, base off of case studies) - did not compare to the human case, only to other ML models (unless “human” is considered perfect, in which case GPT got 86%. Although I don’t think a human would perform at 100% of the benchmark)

Alternatively LLM’s will have gotten good enough that prompts can be general enough to not need tuned skills. I.e the average person can prompt well enough to get great results

I’ve been unable to replicate this. Could you please show me an example? I ask everyone who makes this claim and have yet to see a concrete example. I just can’t get it to do anything useful for me. I feel like I’m missing the boat!

Could you explain that “two tables” issue again? I’m trying to think of a way that DB constraints (I’m using Postgres, fwiw) couldn’t handle denormalization, but imo there’s a constraint for everything. Force a 1:1 relationship, or add a check constraint so you literally cannot denormalize.

I believe these are added after the response is generated. I.e the response is used as the query and the results are returned.

Any examples?

FTFY: Worst case scenario.

Change will come eventually and it will be painful. But I don’t want my kids to deal with it - I’d rather take it head on and deal with the consequences then praying that we push it to the next generation.

The other day, I was configuring fluxbox WM. I decided to use chatGPT because I didn’t really feel like parsing the wall of text that was the spec.

I asked it how to add default names to the workspaces. It gave me an answer that looked so plausible I didn’t question it. 15-20 reloads later, I went over to the spec to verify chatGPTs work.

It lied through it’s teeth. Entirely made up the API. Typically we see the “ChatGPT made stuff up” though the lens of an expert - they can immediately tell that the AI is lying. I finally felt it though the lens of a beginner - I fully believed it and it ended up wasting around an hour of mine.

If a co-worker did this to me (straight up lied about an API) I’d be pretty upset - I have no problems with people saying “I don’t know” but pretending isn’t cool. I can’t be mad at openAI because it’s just a tool, but a tool I won’t be going back to to learn things.

SamA strikes me as overly disingenuous - as if most of his interactions are marketing pieces / warfare. The entire lex + sama podcast seemed this way to me.

I’m incredibly biased though and feel slighted (as a part of humanity) by openAI’s actions, so perhaps I’m looking at his actions through a hateful lens.

The trust ecosystem of the AI community - most every breakthrough was published publicly until OpenAI decided to take advantage of that.

Besides that, this comment contained a ton of statements on what “would” have happened had Google not published. Interesting but worthless way to defend openAI’s actions.

Interesting! How do you know this?

Ah! So multimodality will convince you of consciousness? After all, human neurons are electrical charges, just as bits are.

And the opposite? What if the world is full of people like who you claim that the machine is pretending to be conscious, and is only “quacking like consciousness”? Would you be okay not affording a conscious thing rights?

Bursty workloads? I.e people use my app from 9am - 11am and then nothing for the rest of the day. I’m paying $8 but only around $2 of compute is actually helpful. Setting spend limits on lambda / vercel / cloudfns means the entire $8 go to my bursty workload

Is this open source? What model does this use? This is mind blowing.