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GPT-4.5

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Re: GPT-4.5

#491

Post by 3vidence »

simonw wrote: post #342

I got gpt-4.5-preview to summarize this discussion thread so far (at 324 comments): hn-summary.sh 43197872 -m gpt-4.5-preview Using this script: https://til.simonwillison.net/llms/claude-hacker-news-themes... Here's the result: https://gist.github.com/simonw/5e9f5e94ac8840f698c280293d399... It took 25797 input tokens and 1225 input tokens, for a total cost (calculated using https://tools.simonwillison.net/llm-prices…

I don't know why but something about this section made me chuckle

""" These perspectives highlight that there remains nuance—even appreciation—of explorative model advancement not solely focused on immediate commercial viability """

Feels like the model is seeking validation

Re: GPT-4.5

#492

Post by crystal_revenge »

swatcoder wrote: post #57
zaptrem wrote: post #26

GPT 4.5 pricing is insane: Price Input: $75.00 / 1M tokens Cached input: $37.50 / 1M tokens Output: $150.00 / 1M tokens GPT 4o pricing for comparison: Price Input: $2.50 / 1M tokens Cached input: $1.25 / 1M tokens Output: $10.00 / 1M tokens It sounds like it's so expensive and the difference in usefulness is so lacking(?) they're not even gonna keep serving it in the API for long: > GPT‑4.5 is a very large and comput…

> We look forward to learning more about its strengths, capabilities, and potential applications in real-world settings. If GPT‑4.5 delivers unique value for your use case, your feedback (opens in a new window) will play an important role in guiding our decision. "We don't really know what this is good for, but spent a lot of money and time making it and are under intense pressure to announce new things right now. If…

> "We don't really know what this is good for, but spent a lot of money and time making it and are under intense pressure to announce new things right now. If you can figure something out, we need you to help us."

Having worked at my fair share of big tech companies (while preferring to stay in smaller startups), in so many of these tech announcement I can feel the pressure the PM had from leadership, and hear the quiet cries of the one to two experience engineers on the team arguing sprint after sprint that "this doesn't make sense!"

Re: GPT-4.5

#493

Post by dboreham »

nyrikki wrote: post #321
crazygringo wrote: post #258

Earlier quoted context omitted.

> We don't really know what this is good for Oh come on. Think how long of a gap there was between the first microcomputer and VisiCalc. Or between the start of the internet and social networking. First of all, it's going to take us 10 years to figure out how to use LLM's to their full productive potential. And second of all, it's going to take us collectively a long time to also figure out how much accuracy is neces…

The TRS-80, Apple ][, and PET all came out in 1977, VisiCalc was released in 1979. Usenet, Bitnet, IRC, BBSs all predated the commercial internet, which are all forms of Online social networks.

Perhaps parent is starting the clock with the KIM-1 in 1975?

Re: GPT-4.5

#494

Post by lolinder »

DebtDeflation wrote: post #213
serjester wrote: post #58

Earlier quoted context omitted.

I suppose this was their final hurrah after two failed attempts at training GPT-5 with the traditional pre-training paradigm. Just confirms reasoning models are the only way forward.

GPT 5 is likely just going to be a router model that decides whether to send the prompt to 4o, 4o mini, 4.5, o3, or o3 mini.

Except minus 4.5, because at these prices and results there's essentially no reason not to just use one of the existing models if you're going to be dynamically routing anyway.

Re: GPT-4.5

#496

Post by ravetcofx »

dialup_sounds wrote: post #479
mandevil wrote: post #361

Earlier quoted context omitted.

ChatGPT had its initial public release November 30th, 2022. That's 820 days to today. The Apple II was first sold June 10, 1977, and Visicalc was first sold October 17, 1979, which is 859 days. So we're right about the same distance in time- the exact equal duration will be April 7th of this year. Going back to the very first commercially available microcomputer, the Altair 8800 (which is not a great match, since tha…

For the sake of perspective: there are about ten times more paying OpenAI subscribers today than VisiCalc licenses ever sold.

Is that because anyone is finding real use for it, or is it that more and more people and companies are using it which is speeding up the rat race, and if "I" don't use it, then can't keep up with the rat race. Many companies are implementing it because it's trendy and cool and helps their valuation

Re: GPT-4.5

#497

Post by ummonk »

swatcoder wrote: post #57
zaptrem wrote: post #26

GPT 4.5 pricing is insane: Price Input: $75.00 / 1M tokens Cached input: $37.50 / 1M tokens Output: $150.00 / 1M tokens GPT 4o pricing for comparison: Price Input: $2.50 / 1M tokens Cached input: $1.25 / 1M tokens Output: $10.00 / 1M tokens It sounds like it's so expensive and the difference in usefulness is so lacking(?) they're not even gonna keep serving it in the API for long: > GPT‑4.5 is a very large and comput…

> We look forward to learning more about its strengths, capabilities, and potential applications in real-world settings. If GPT‑4.5 delivers unique value for your use case, your feedback (opens in a new window) will play an important role in guiding our decision. "We don't really know what this is good for, but spent a lot of money and time making it and are under intense pressure to announce new things right now. If…

Conspiracy theory: they’re trying to tank the valuation so that Altman can buy it out at bargain price.

Re: GPT-4.5

#498

Post by josh-sematic »

mvdtnz wrote: post #81
Topfi wrote: post #24

Considering both this blog post and the livestream demos, I am underwhelmed. Having just finished the stream, I had a real "was that all" moment, which on one hand shows how spoiled I've gotten by new models impressing me, but on another feels like OpenAI really struggles to stay ahead of their competitors. What has been shown feels like it could be achieved using a custom system prompt on older versions of OpenAIs m…

> How could they justify that asking price? They're still selling $1 for <$1. Like personal food delivery before it, consumers will eventually need to wake up to this fact - these things will get expensive, fast.

One difference with food delivery/ride share: those can only have costs reduced so far. You can only pick up groceries and drive from A to B so quickly. And you can only push the wages down so far before you lose your gig workers. Whereas with these models we’ve consistently seen that a model inference that cost $1 several months ago can now be done with much less than $1 today. We don’t have any principled understanding of “we will never be able to make these models more efficient than X”, for any value of X that is in sight. Could the anticipated efficiencies fail to materialize? It’s possible but I personally wouldn’t put money on it.

Re: GPT-4.5

#499

Post by eek2121 »

FpUser wrote: post #365
fsndz wrote: post #274

Earlier quoted context omitted.

it's so over, pretraining is ngmi. maybe sam Altman was wrong after all ? https://www.lycee.ai/blog/why-sam-altman-is-wrong

>"I also agree with researchers like Yann LeCun or François Chollet that deep learning doesn't allow models to generalize properly to out-of-distribution data—and that is precisely what we need to build artificial general intelligence." I think "generalize properly to out-of-distribution data" is too weak of criteria for general intelligence (GI). GI model should be able to get interested about some particular area,…

Uh, if we do finally invent AGI (I am quite skeptical, LLMs feel like the chatbots of old. Invented to solve an issue, never really solving that issue, just the symptoms, and also the issues were never really understood to begin with), it will be able to do all of the above, at the same time, far better than humans ever could.

Current LLMs are a waste and quite a bit of a step back compared to older Machine Learning models IMO. I wouldn't necessarily have a huge beef with them if billions of dollars weren't being used to shove them down our throats.

LLMs actually do have usefulness, but none of the pitched stuff really does them justice.

Example: Imagine knowing you had the cure for Cancer, but instead discovered you can make way more money by declaring it to solve all of humanity, then imagine you shoved that part down everyones' throats and ignored the cancer cure part...

Re: GPT-4.5

#500

Post by reassess_blind »

jampa wrote: post #167

First impression of GPT-4.5: 1. It is very very slow, for some applications where you want real time interactions is just not viable, the text attached below took 7s to generate with 4o, but 46s with GPT4.5 2. The style it writes is way better: it keeps the tone you ask and makes better improvements on the flow. One of my biggest complaints with 4o is that you want for your content to be more casual and accessible bu…

What’s the deal with Imgur taking ages to load? Anyone else have this issue in Australia? I just get the grey background with no content loaded for 10+ seconds every time I visit that bloated website.
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