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@emilymbender.bsky.social Profile picture
@emilymbender
Feb 7, 2023 • 9 tweets • 5 min read • Read on X
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Strap in folks --- we have a blog post from @sundarpichai at @google about their response to #ChatGPT to unpack!

blog.google/technology/ai/…

#MathyMath #AIHype
Step 1: Lead off with AI hype. AI is "profound"!! It helps people "unlock their potential"!!

There is some useful tech that meets the description in these paragraphs. But I don't think anything is clarified by calling machine translation or information extraction "AI".

>> Screencap: "AI is the most profound technology we are w
And then another instance of "standing in awe of scale". The subtext here is it's getting bigger so fast --- look at all of that progress! But progress towards what and measured how?

#AIHype #InAweOfScale

>> Screencap: "Since then we’ve continued to make invest
And then a few glowing paragraphs about "Bard", which seems to be the direct #ChatGPT competitor, built off of LaMDA. Note the selling point of broad topic coverage: that is, leaning into the way in which apparent fluency on many topics provokes unearned trust.

>> Screencap: "Bard seeks to combine the breadth of the wo
Let's sit with that prev quote a bit longer. No, the web is not "the world's knowledge" nor does the info on the web represent the "breadth" of same. Also, large language models are neither intelligent nor creative.

>>
Next some reassurance that they're using the lightweight version, so that when millions of people use it every day, it's a smaller amount of electricity (~ carbon footprint) multiplied by millions. Okay, better than the heavyweight version, but just how much carbon, Sundar?

>>
"High bar for quality, safety and groundedness" in the prev quote links to this page:

ai.googleblog.com/2022/01/lamda-…

Reminder: The state of the art for providing the source of the information you are linking to is 100%, when what you return is a link, rather than synthetic text.

>>
Finally, we get Sundar/Google promising exactly what @chirag_shah and I warned against in our paper "Situating Search" (CHIIR 2022): It is harmful to human sense making, information literacy and learning for the computer to do this distilling work, even when it's not wrong. >> Screencap: "One of the most exciting opportunities is hScreencap: "AI can be helpful in these moments, synthes
Why aren't chatbots good replacements for search engines? See this thread:

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More from @emilymbender

@emilymbender.bsky.social Profile picture
Nov 4
As OpenAI and Meta introduce LLM-driven searchbots, I'd like to once again remind people that neither LLMs nor chatbots are good technology for information access.

A thread, with links:

>>
@chirag_shah and I wrote about this in two academic papers:
2022: dl.acm.org/doi/10.1145/34…
2024: dl.acm.org/doi/10.1145/36…

We also have an op-ed from Dec 2022:
iai.tv/articles/all-k…

>>
Why are LLMs bad for search? Because LLMs are nothing more than statistical models of the distribution of word forms in text, set up to output plausible-sounding sequences of words.



>>
Read 15 tweets
@emilymbender.bsky.social Profile picture
Feb 29
It seems like there are just endless bad ideas about how to use "AI". Here are some new ones courtesy of the UK government.

... and a short thread because there is so much awfulness in this one article.
/1

ft.com/content/f2ae55…
Screencap: "UK ministers are piloting the use of generative artificial intelligence to analyse responses to government consultations and write draft answers to parliamentary questions. Oliver Dowden, the deputy prime minister, will on Thursday unveil tools that the AI “crack squad” at the heart of Whitehall is trialling with a view to wider rollouts across central departments and public services."
Either it's a version of ChatGPT OR it's a search system where people can find the actual sources of the information. Both of those things can't be true at the same time. /2 Screencap: "The AI tools include using government-hosted versions of ChatGPT and a mix of open-source AI models securely hosted in-house to draft preliminary responses to questions to ministers submitted by MPs and to freedom of information requests. The drafts would always be checked by a human civil servant and the AI tools are programmed to ensure they cite their sources on all claims, so they can be verified."
Also: the output of "generative AI", synthetic text, is NOT information. So, UK friends, if your government is actually using it to respond to freedom of information requests, they are presumably violating their own laws about freedom of information requests. /3
Read 10 tweets
@emilymbender.bsky.social Profile picture
Jan 14
It is depressing how often Bender & Koller 2020 is cited incorrectly. My best guess is that ppl writing abt whether or not LLMs 'understand' or 'are agents' have such strongly held beliefs abt what they want to be true that this impedes their ability to understand what we wrote.
Or maybe they aren't actually reading the paper --- just summarizing based on what other people (with similar beliefs) have mistakenly said about the paper.

>>
Today's case in point is a new arXiv posting, "Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs" by Lederman & Mahowald, posted Jan 10, 2024.



>>arxiv.org/pdf/2401.04854…
Read 11 tweets
@emilymbender.bsky.social Profile picture
Dec 7, 2023
A quick thread on #AIhype and other issues in yesterday's Gemini release: 1/
#1 -- What an utter lack of transparency. Researchers form multiple groups, including @mmitchell_ai and @timnitgebru when they were at Google, have been calling for clear and thorough documentation of training data & trained models since 2017. 2/
In Bender & Friedman 2018, we put it like this: /3 Screecap: "These two recommendations will need to be implemented with care. We have already noted the potential barrier to access. Secrecy concerns may also arise in some situations (e.g., some groups may be willing to share datasets but not demographic information, for fear of public relations backlash or to protect the safety of contributors to the dataset). That said, as consumers of datasets or products trained with them, NLP researchers, developers, and the general public would be well advised to use systems only if there is access to the information we propose should be included ...
Read 20 tweets
@emilymbender.bsky.social Profile picture
Nov 24, 2023
With the OpenAI clownshow, there's been renewed media attention on the xrisk/"AI safety" nonsense. Personally, I've had a fresh wave of reporters asking me naive questions (+ some contacts from old hands who know how to handle ultra-rich man-children with god complexes). 🧵1/
As a quick reminder: AI doomerism is also #AIhype. The idea that synthetic text extruding machines are harbingers of AGI that is on the verge of combusting into consciousness and then turning on humanity is unscientific nonsense. 2/
t the same time, it serves to suggest that the software is powerful, even magically so: if the "AI" could take over the world, it must be something amazing. 3/
Read 27 tweets
@emilymbender.bsky.social Profile picture
Jun 11, 2023
There's a lot I like in this op-ed, but unfortunately it ends with some gratuitous ableism (and also weird remarks about AGI as a "holy grail").

First, the good parts:

theguardian.com/commentisfree/…
"[False arrests w/face rec tech] should be at the heart of one of the most urgent contemporary debates: that of artificial intelligence and the dangers it poses. That it is not, and that so few recognise it as significant, shows how warped has become the discussion of AI,"

>>
"We have stumbled into a digital panopticon almost without realising it. Yet to suggest we live in a world shaped by AI is to misplace the problem. There is no machine without a human, and nor is there likely to be."

>>
Read 7 tweets

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