@ludens ”its not a bug, it’s proof of sentient life” 😁
Tagged: reply
@alexanderdyas Exactly, it’s the Ouroboros.
@danhon
Sorry. 😅
Although I’m so on board with that statement…
@danhon
You’re likely looking for something like Renderform.
https://renderform.io/
You can likely also do this with a PHP script if it’s always the same image :)
@Beantin
I think that they are by some people intended to be two different aspects of controlling and allowing what goes into the machine instruction. Like this:
1. Prompt design is about writing prompts to get the desired output.
2. Prompt engineering is about the operational management of controlling what prompts are possible, i.e. restricting certain prompts to specific roles within a company in order to maintain data integrity and security, or controlling output length to manage computational costs.
Distinguishing between these two can be useful and set the right expectations, but I do see that prompt engineering is being used as a catch-all phrase. In that sense I would call prompt engineering the umbrella term for both the design/wording of prompts and the construction of rules for prompting.
But given that language is shaped by the people who use it we can only wait and see where these definitions end up. OpenAI themselves seem to use them interchangeably.
@Uva_Be I have experimented with most tools to get an idea of their workings. Both to test usefulness and reliability. For generating templates and structuring content I have seen benefits. And I’m very impressed by the programming capabilities of some language models.
Before these popular current tools I was of course also using AI, for example for speech-to-text and vice versa, which is useful and benevolent in the right settings.
In the end there is always this question that remains… are these benefits (for a subset of wealthy people) worth the cost? To judge that we need to understand the costs, and they are unfortunately often kept hidden or obscure.
Becoming reliant on many of these tools also means I become dependent on someone else to select and filter what content is deemed valuable for modelling, which is another aspect that worries me.
@starfrost Rather than generally biased (which I agree can be a bit of a misnomer as most content can be deemed biased in some way) I would be looking at specific aspects such as racist, medically harmful, misogynist, ableist, abusive etceteras.
Many general tools struggle because they are general, and without a clearly defined purpose and use-case. That makes it hard to gauge success but also hard to gauge appropriateness for anything.
When services/products have more clearly defined goals and purposes there are models for impact assessment that can be made use of as part of a development process.
I outline a couple of them at the end of this post: https://axbom.com/digital-compassion-human-act/
@starfrost For me it's a design decision to make use of biased data and unsupervised training in your manufacturing process. Of course these companies are aware that vast amounts of their data is prejudiced.
The Google photos incident where a black person was tagged as a gorilla happened in 2015 and 8 years later they haven't fixed this, just blocked the ability to search for gorilla. These companies have had time to become aware of the bias problem.
There are definitely many useful applications for AI and it's possible to work around these issues and mitigate impact to some extent before harm happens. Many companies however choose not to. To work around these moral dilemmas I believe you need to be open and honest about their presence and how you are addressing them.
If you aren't actively looking for them as a user, prejudices will also make their way into everyday use of generative models.
@karlemilnikka Gissar att det är Committee on Civil Liberties, Justice and Home Affairs om man ska följa sändningen?
https://multimedia.europarl.europa.eu/en/webstreaming/committee-on-civil-liberties-justice-and-home-affairs_20231025-1430-COMMITTEE-LIBE
@pawsplay I'm not sure I understand your question. The poster suggests what a hammer would be if it was like AI, not what a hammer is.
So if a hammer was like AI, it would have been trained on someone else's data. It's a reflection of the ethical dilemmas of AI.
But you may be getting caught on the word "constructions" which in my mind refers to structures and buildings, not the composition of hammers.
Hence, a language model does not copy the composition of other language models, it is "trained" with copies of other people's content.
I hope this helps.
@fasterandworse I'm thinking now how it will become more relevant in the future to have a policy in place with regards to what tools a company can force its employees to use.
I'm lucky to be self-employed, because there are many tools I would never want to touch but an employment may force me into.
@fasterandworse Not at all! I'm 100% onboard with the lack of purpose being one of the most maddening aspects of this whole problem space.
You added a dimension where my point became even more interesting. They're not just releasing crap and fixing it, they're releasing crap without a purpose and fixing it. 😅
@fasterandworse
I agree, but what I am seeing is that a "fixed" ChatGPT is responding to things like takedown requests from JK Rowling (by making it harder to get responses about the books), blocking explicit racism from responses and generally just addressing random garbage that pops up and makes it into the news cycle.
@tante
@tante
In my head at the time of writing was ChatGPT. :)
I've written about Zoom before, and for me it fits the bill to some extent.
https://axbom.com/avoid-zoom/
For me it's a component of the whole "ship first, fix later" or "release now, fix later" which the gaming industry appears to suffer from as well. I suppose this model naturally became normalized soon after it was possible to ship updates over the net. Many people appear to appreciate early access over fully functional.
@efi I've had a handful of people react the way you do and reach out (since June), but my experience is that it's rare. I've had overwhelming positive feedback from people reasoning like I do. The title "If a hammer was like AI" usually gets people on the right track. If in doubt, there's always the web address :)
Mockery is not easy to pull off in a way that everyone gets the intent straight away, so I do understand it will sometimes fail in its messaging. I do appreciate you pointing out your interpretation and telling me.
@maddad Thank you.