Just FYI, if you have older parents or other family members, set up some sort of shibboleth with them so they know what to ask you if you ever call them asking for something. These new generative models are going to be extremely convincing, and the idiots in charge of these companies think they can use guardrails to stop it being used inappropriately. They can't. #genAI#LLMs#chatgpt
“React and the component model standardises the software developer and reduces their individual bargaining power excluding them from a proportional share in the gains”. An amazing write-up by @baldur about the de-skilling of developers to reduce their ability to fight back against their employers.
“The general problem of mixing data with commands is at the root of many of our computer security vulnerabilities.” Great explainer by security researcher Bruce Schneier on why large language models may not be a great choice for tasks like processing your emails. https://cacm.acm.org/opinion/llms-data-control-path-insecurity/
"When the Singaporean government asked local writers if they would agree to having their work used to train a large language model, it probably did not expect the country’s tiny literary community to react so fiercely."
I just issued a data deletion request to #StackOverflow to erase all of the associations between my name and the questions, answers and comments I have on the platform.
One of the key ways in which #RAG works to supplement #LLMs is based on proven associations. Higher ranked Stack Overflow members' answers will carry more weight in any #LLM that is produced.
By asking for my name to be disassociated from the textual data, it removes a semantic relationship that is helpful for determining which tokens of text to use in an #LLM.
If you sell out your user base without consultation, expect a backlash.
i used an analogy yesterday, that #LLMs are basically system 1 (from Thinking Fast and Slow), and system 2 doesn’t exist but we can kinda fake it by forcing the LLM to have an internal dialog.
my understanding is that system 1 was more tuned to pattern matching and “gut reactions”, while system 2 is more analytical
i think it probably works pretty well, but curious what others think
Just came up with a new analogy I'm rather proud of: LLMs are digital compost heaps. They decompose whatever you hurl in and turn it into artificial excrement.
Also I'm moving from StackExchange to Codidact. If I'm going to do any more unpaid labour it's going to be for a not-for-profit, rather than a for-profit company. Feeding that work into a digital compost heap is the push I needed.
Everyone should immediately stop contributing to the stack overflow and its network. The human touch is what made it unique. Delete your profile from SO AND all your answers. Freeloaders are making money out of human contributions.
@nixCraft Wow! Doesn't this mean that the company will now die a slow death once all their databases have been incorporated into #ChatGPT? On the one hand, this seems like a really stupid move, but on the other hand, I reckon that this deal is actually the only real choice they have left, as all their data has probably already been crawled by the best #LLMs before. At least they can gain a bit of money from #OpenAI in the short term before becoming completely obsolete in a few months to years. 😢