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Items tagged with: LLMS
Oh boi, do I have thoughts about #nanowrimo. Disclosure; I have written millions of words (most of them technical), I have done #NaNoWriMo a few times, and I have been writing about #AI since the early 90s.
#LLMs are NOT AI. LLMs are vacuums which sort existing data into sets. They do not create anything. Everything they output depends on stolen data. There is no honest LLM.
This year, Nano is sponsored by an LLM company, and after pushback, they said anyone suggesting AI shouldn't be used was "ableist and "classist"....which....whooweee , that's a mighty bold stance.
LLMs are being sued to hell by authors for slurping up all their content. The reason you can "engineer a prompt" by including "in the style of RR Martin" is because the LLM has digested ALL of RRMartin.
Re: "ableism", I'm going to direct you to Lina² neuromatch.social/@lina/113069…, who writes about the issue better than I could. And I want to thank @LinuxAndYarn for coming up with my fave new Nano tag: #NahNoHellNo.
We are recruiting for the position of a PhD/Junior Researcher or PostDoc/Senior Researcher with focus on knowledge graphs and large language models connected to applications in the domains of cultural heritage & digital humanities.
More info: fiz-karlsruhe.de/en/stellenanz…
Join our @fizise research team at @fiz_karlsruhe
@tabea @sashabruns @MahsaVafaie @GenAsefa @enorouzi @sourisnumerique @heikef #knowledgegraphs #llms #generativeAI #culturalHeritage #dh #joboffer #AI #ISE2024 #PhD #ISWS2024
PhD/Junior Researcher or PostDoc/Senior Researcher (f/m/x) | FIZ Karlsruhe
We are looking for a suitable person for the open position as a PhD/Junior Researcher or PostDoc/Senior Researcher (f/m/x) starting at the nearest possible date.www.fiz-karlsruhe.de
New bookmark: React, Electron, and LLMs have a common purpose: the labour arbitrage theory of dev tool popularity.
“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.
Originally posted on seirdy.one: See Original (POSSE). #GenAI #llms #webdev
Like many other technologists, I gave my time and expertise for free to #StackOverflow because the content was licensed CC-BY-SA - meaning that it was a public good. It brought me joy to help people figure out why their #ASR code wasn't working, or assist with a #CUDA bug.
Now that a deal has been struck with #OpenAI to scrape all the questions and answers in Stack Overflow, to train #GenerativeAI models, like #LLMs, without attribution to authors (as required under the CC-BY-SA license under which Stack Overflow content is licensed), to be sold back to us (the SA clause requires derivative works to be shared under the same license), I have issued a Data Deletion request to Stack Overflow to disassociate my username from my Stack Overflow username, and am closing my account, just like I did with Reddit, Inc.
policies.stackoverflow.co/data…
The data I helped create is going to be bundled in an #LLM and sold back to me.
In a single move, Stack Overflow has alienated its community - which is also its main source of competitive advantage, in exchange for token lucre.
Stack Exchange, Stack Overflow's former instantiation, used to fulfill a psychological contract - help others out when you can, for the expectation that others may in turn assist you in the future. Now it's not an exchange, it's #enshittification.
Programmers now join artists and copywriters, whose works have been snaffled up to create #GenAI solutions.
The silver lining I see is that once OpenAI creates LLMs that generate code - like Microsoft has done with Copilot on GitHub - where will they go to get help with the bugs that the generative AI models introduce, particularly, given the recent GitClear report, of the "downward pressure on code quality" caused by these tools?
While this is just one more example of #enshittification, it's also a salient lesson for #DevRel folks - if your community is your source of advantage, don't upset them.
Submit a data request - Stack Overflow
You can use this form to submit a request regarding your personal information that is processed by Stack Overflowpolicies.stackoverflow.co
The Staggering Ecological Impacts of Computation and the Cloud
Anthropologist Steven Gonzalez Monserrate draws on five years of research and ethnographic fieldwork in server farms to illustrate some of the diverse environmental impacts of data storage.The MIT Press Reader
I think expecting language models to reason like the math engines maght be a bit out of range! Nice try!
Can Large Language Models Reason?
What should we believe about the reasoning abilities of today’s large language models? As the headlines above illustrate, there’s a debate raging over whether these enormous pre-trained neural networks have achieved humanlike reasoning abilities, or …Melanie Mitchell (AI: A Guide for Thinking Humans)
Three years in the making - our big review/opinion piece on the capabilities of large language models (LLMs) from the cognitive science perspective.
Thread below! 1/
#AI #cogneuro #NLP #LLMs #languageandthought
Dissociating language and thought in large language models: a cognitive perspective
Today's large language models (LLMs) routinely generate coherent, grammatical and seemingly meaningful paragraphs of text.arXiv.org