AI data scientist at NHS National Services Scotland. Hon Lecturer in Comp Sci, University of Glasgow. Author of bit.ly/firstcourseml Views my own, etc.
Joined January 2009
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- Followers 600
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157 Photos and videos
15 Oct 2024
Enjoying this podcast series featuring @MelMitchell1 on intelligence -- highly recommended
santafe.edu/culture/podcasts…
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5 Oct 2024
Three articles in the @LRB this month that taken together are quite chilling: the wholesale swallowing of the religion of AI (article on Blair) the use of AI in generating kill lists the hollowing of the regulatory landscape (in context of grenfell)...
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23 Aug 2024
Quite a lot of my feed on her be "I made this app in <insert framework> just using <insert language model> without needing to understand!".
Imagine a bad actor creating /fintetuning an LLM that injects security vulnerabilities. Absolute carnage.
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3 Aug 2024
It's been slowly dawning on me that the claims of AI reaching superhuman levels from the tech bros has more to do with their horribly narrow definition of human-ness than any improvements in their AI. And @ShannonVallor nails it here.
2 Aug 2024
I really love this essay by @ShannonVallor:
noemamag.com/the-danger-of-s…
It points out that notions of "intelligence" held by AI researchers are very different from those held by people in cognitive science. I also wrote about this striking difference: science.org/doi/10.1126/scie…
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Simon Rogers retweeted
17 Jul 2024
Hey @edfringe! Do you realise Anthropic AI rips off your performers past and present? Just a quick look at @_alexreisner's new tool shows work by Stephen Fry, Jack Whitehall, Graham Norton, Darren McGarvey scraped from YouTube without consent or remuneration to train Claude.
9 Jul 2024
Today, we’re delighted to announce a new partnership with the AI safety and research company @AnthropicAI.
Believing that AI will augment, not replace, human creativity, Anthropic will be hosting a series of workshops at #edfringe this August to help artists, media and academics learn to use #AI as a day-to-day tool, freeing them up from burdensome administrative tasks so they can focus on their creative output.
Find out more: edfringe.com/learn/news-and-…
ALT A graphic shows the Fringe and Claude by Anthropic logos.
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Simon Rogers retweeted
20 Jun 2024
Pyrotechnic football writing on deadline by @jonathanliew in trying to describe how badly 🏴 played tonight
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10 Jun 2024
They've really caught some big ones with this post 🎣
10 Jun 2024
my new ai model is predicting stuff that’s not in the original data. how is this even possible? this is insane. 🤯
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Simon Rogers retweeted
16 May 2024
Nope
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Simon Rogers retweeted
14 May 2024
When AI people talk about labour, they tend to frame jobs as sets of tasks, rather than sets of responsibilities.
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20 Apr 2024
There are sensible AI use cases, and then there are things like thus. Anything that removes humanity from the Olympics will make it worse. theguardian.com/sport/2024/a…
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19 Apr 2024
The tedious stuff requires accuracy.
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15 Apr 2024
If you started with a large budget and a goal of reducing traffic fatalities, what would you do? I don't think autonomous vehicles (of the self-driving car flavour) would feature for me, given the proven alternatives for getting people from A to B safely.
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Simon Rogers retweeted
22 Mar 2024
Jasmin Paris @JasminKParis finished loop five of the #BM100 in 59:58:21.
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Simon Rogers retweeted
14 Mar 2024
Sigmund Freud on lecturing, 1884
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Simon Rogers retweeted
16 Feb 2024
While GenAI is fun, I think its economic value is grossly over estimated, because it’s unreliable, risky and expensive to make and serve. It’s fine for creative tasks, but not (yet) autonomous agents
16 Feb 2024
Airline installs chatbot. Customer gets bad information from it. Customer asks for refund. Airline says "the chatbot is a separate legal entity that is responsible for its own actions" (!). Court says no. (Whew.) Airline makes refund and turns off chatbot. arstechnica.com/tech-policy/…
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Simon Rogers retweeted
28 Jan 2024
You are given an urn containing 100 balls; n of them are red, and 100-n are green, where n is chosen uniformly at random in [0, 100]. You take a random ball out of the urn—it’s red—and discard it. The next ball you pick (out of the 99 remaining) is:
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More likely to be green
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Equally likely
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Don’t know/see results
22,563 votes • Final results
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