Wrote an article about this -- https://hackernoon.com/ai-restrictions-reinforce-abusive-use...
As everyone assumes they’re dealing with an AI for support, etc., the job of being a human in those roles will be awful.
Edit RE below comment: The company was literally named that as it was started to be the "open" AI company, given the dangers of centralization of such tech.
From Wikipedia --
The organization stated it would "freely collaborate" with other institutions and researchers by making its patents and research open to the public.[
Microsoft isn't small.
Apple isn't a fruit.
Berkshire Hathaway isn't from Berkshire and is nothing to do with Shakespeare's wife or the actress.
Oracle isn't an ancient Greek priestess making enigmatic utterances from inside a temple.
Blackrock isn't black or a rock.
Citadel isn't any kind of fortress at all.
Etc etc.
It's just a name.
eg:
GPT-2: paper https://d4mucfpksywv.cloudfront.net/better-language-models/l... with code: https://github.com/openai/gpt-2, output dataset https://github.com/openai/gpt-2-output-dataset and a bunch of blog posts with all manner of details
GPT-3: paper https://arxiv.org/abs/2005.14165 dataset https://github.com/openai/gpt-3
etc etc.
Can you give some concrete examples of this?
https://www.nytimes.com/2023/02/16/technology/bing-chatbot-m...
> I've seen many instances of users needing to yell at, abuse, or manipulate ChatGPT to get the desired answers.
I would like some examples of the filters getting in the way of 'desired answers'.
Three would be great.
Yes, its insistence on verbosity gets to me too, even though (as I understand it) that verbosity is the only place it has for any extra "deep thinking" about stuff and thus actually necessary for improved performance.
But it was trained in the first place on a (filtered) form of common crawl, so it probably already had all that.
"The AI swearing" is easy mode for alignment, both because it is low-damage and the availability of trivial filter-based solutions, so it only matters to the larger alignment problem in so far as it's a warning sign we still don't know what we're doing, not in and of itself.
Wait, I thought that's called prompt engineering. But seriously, if what you say actually happens at scale then it is remarkable how fast people got addicted to GPT as their (apparently) only source of desired answers.
Everyone agrees safety from AI acting autonomously and maliciously is good. But thats not really a threat right now. Less think we need to make it “safe” by making it inoffensive. Its a tool. It should do what I want it to.
I am between ankle deep, and knee deep in writing a new book “Safe For Humans AI” and I have been reading as much as possible on the subject. I am in learning mode.
Not too far off topic: I read this article [1] today and it really hits on AI, productivity, history of technology, etc.
[1] https://zhengdongwang.com/2023/06/27/why-transformative-ai-i...
Currently the biggest model one can feasibly run on a desktop pc with let's say a previous gen gpu, 32gb ram, 2x fast nvme drives is approximately 7B. Models comparable in performance to chatgpt are 45B and bigger. In theory it could be possible to run a model like this, but one would wait 5~10 minutes for every answer.
Now, consider that those models are going to get optimised and hardware will get better. In few years time you'll be able to run such model on your pc, in few more on your smartphone. What is (not at all)OpenAI going to do? They have to beat the AI safety drum as much as possible hoping they manage to curtail the democratisation of Access to big AIs via legal means.
At the same time due to a lack of proper software NVidia is the only game in town for anyone wanting too do inference at home and they're already applying monopoly-level profit margins (50%?) to their products.
When is the last time you saw a Google TPU for sale? Ive got my hands on their "edge" tpu. It's nice for things like Cctv object recognition and similar small tasks. I've managed to build a nice 1U Cctv server using it that consumes 30W on average. But I'd like the big version now.
I bet the moment alternative frameworks that have good optimisations for both nVidia and non nVidia hardware are starting to gain ground it will suddenly become a lot more difficult to purchase nVidia cards by normal people. They openly say it on their every keynote they want to "rent you everything".
This is the biggest battle (except actual physical wars against autocracies) that we have to win in next 50 years to retain our freedom we realistically have in democratic countries. If we allow intelligence (AI) to centralise and be subject to centralised control it'll be game over. The entire global society will be steered as a whole by one "prompt engineer".
The limiter right now is compute.
If we get to what you’re saying, OpenAI will be developing multi-model models with increasingly large d_model and n_ctx to do a better job of analyzing those images/sounds/videos.
People think ChatGPT is magic now, wait until you can input a picture, sound, and/or video as a prompt…
Don’t fall into the “Information Superhighway” trap of thinking the year 2 form is the final form.
The problem is most likely that you cannot market this without achieving these two goals. Companies powering their support chat with it don't want it to ever curse or insult the customer, and average users using it as an assistant cannot fathom that something the computer says could possibly be wrong.
Why would it be popular to nerf tools? I thought people all preferred the more powerful LLM models.