New models and developer products
261–270 of 561 posts
Re: New models and developer products
#262Can we get version of ChatGPT Plus where your data is confidential and not used for training, like a light version of ChatGPT Enterprise for individuals?
Re: New models and developer products
#263You can now [1] pay from $2 to $3 million to pretrain custom gpt-n model. This has gone unnoticed but seems really neat. Provided that a start-up has enough money spend on that, it would certainly give competitive advantage. [1] https://openai.com/form/custom-models Edit: forgot to put the link
Well it won’t because they’ll use the model you paid for and take your customers.
Re: New models and developer products
#264Earlier quoted context omitted.
The investors will only get their 1000x if OpenAI can convince people its risk free to use. So they'll happily cover the legal battle to prove it or spent every last company penny trying
Or, alternatively, copyright risk is a major concern for real customers, and this is a major step forward in addressing that. Not everything needs to be so cynical. What’s good for investors can be good for users as well.
This isn’t a ”copyright risk“, it’s a Silicon Valley corporation getting away with declaring copyright just… obsolete.
Re: New models and developer products
#265Earlier quoted context omitted.
It's a good strategy. For me, avoiding the moat means either a big drop in quality and just ending up in somebody elses moat, or a big drop in quality and a lot more money spent. I've looked into it and maybe the most practical end-to-end system for owning my own LLM is to run a couple of 3090s on a consumer motherboard at substantial running cost to keep them up 24/7 and that's not powerful enough to cut it and rath…
For me personally, being able to fine-tune the local LLM's at a much higher rank and training more layers is very useful for (somewhat unreliably) embedding information. AFAIK the OpenAI fine-tuning is more geared towards formatting the output.
Re: New models and developer products
#266Earlier quoted context omitted.
OpenAI offering 128k context is very appealing, however. I tried some Mistral variants with larger context windows, and had very poor results… the model would often offer either an empty completion or a nonsensical completion, even though the content fit comfortably within the context window, and I was placing a direct question either at the beginning or end, and either with or without an explanation of the task and…
Comparing a 7B parameter model to a 1.8T parameter model is kind of silly. Of course it's behind on accuracy, but it also takes 1% of the resources.
Re: New models and developer products
#267Most of the products announced (and the price cuts) appear to be more about increasing lock-in to the OpenAI API platform, which is not surprising given increased competition in the space. The GPTs/GPT Agents and Assistants demos in particular showed that they are a black box within a black box within a black box that you can't port anywhere else. I'm mixed on the presentation and will need to read the fine print on…
OpenAI is currently refusing far more enterprises than these products could "lock-in" even with 100% stickiness.
Makes it unlikely this is about lock-in or fighting churn when arguably, the best advertisement for GPT-4 is comparing its raw results to any other LLM.
If you said their goal was fomenting FOMO, I'd buy it. Curious, though, when they'll let the FOMO fulfillment rate go up by accepting revenue for servicing that demand.
Re: New models and developer products
#268In people's experience with these sorts of tools, have they assisted with maintainance of codebases? This might be directly, or indirectly via more readable, bette organized code. The reason I ask is that these tools seem to excel in helping to write new code. In my experience I think there is an upper limit to the amount of code a single developer can maintain. Eventually you can't keep everything in your head, so m…
1. This will be the end of traditional SWEs and the rise of the age of debuggers, human debuggers who spend their days setting up breakpoints and figuring bugs in a sea of LLM generated code.
2. Hiring will switch from using Leetcode questions to "pull out your debugger and figure out what's wrong with this code".
Re: New models and developer products
#269Every day this video ages more and more poorly [1]. categories of startups that will be affected by these launches: - vectorDB startups -> don't need embeddings anymore - file processing startups -> don't need to process files anymore - fine tuning startups -> can fine tune directly from the platform now, with GPT4 fine tuning coming - cost reduction startups -> they literally lowered prices and increased rate limits…
Why don’t you need embedding?
Re: New models and developer products
#270They need to tone down the "GPT" "persona" marketing if they don't want a backlash. It's one thing releasing AI and saying "do what you want with it" but it's another to actively list and illustrate the people it can replace .
That said, we should have comprehensive retraining and guaranteed jobs programs, or a UBI. Either would ameliorate the stress on the employment market. When people require their current job to provide them and their family with food, shelter, water, and medical care and someone takes that away, they are going to react regardless of how inevitable it was, and they're right to do so, because people have a right to self-defence.