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Today, I completed watching S3 of "Slow Horses." I was eager to see it, and while some aspects are brilliant, I don't fully understand the hype. Maybe it's just the best we have at the moment?

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Today, I completed watching S3 of "Slow Horses." I was eager to see it, and while some aspects are brilliant, I don't fully understand the hype. Maybe it's just the best we have at the moment?

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Sam Altman, the Schrödingers CEO.

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Sam Altman, the Schrödingers CEO.

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Musk, OpenAI, Javier Milei and what have you again reminds me when I saw this Barsotti cartoon in New Yorker magazine after 9/11, and I felt like it was speaking to me and described the zeitgeist perfectly. Little did we know...

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Musk, OpenAI, Javier Milei and what have you again reminds me when I saw this Barsotti cartoon in New Yorker magazine after 9/11, and I felt like it was speaking to me and described the zeitgeist perfectly. Little did we know...

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A Charles Barsotti cartoon where the bartender tells a client "You've got to be more specific, Ed. Wake you when what's over?"

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@benjamineskola Indeed, it is! However, so is witchcraft, but that does not mean you shouldn't be a wizard.

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@benjamineskola Indeed, it is! However, so is witchcraft, but that does not mean you shouldn't be a wizard.

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Bork and borkdude. I can't be the only one who noticed the utterly significant detail that @b0rk 's Strange Loop presentation is a great description of a problem that @borkdude presents a solution to in his presentation. They must have planned this decades ago. 🙂 #StrageLoop #clojure #bash #babashka

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Bork and borkdude. I can't be the only one who noticed the utterly significant detail that @b0rk 's Strange Loop presentation is a great description of a problem that @borkdude presents a solution to in his presentation. They must have planned this decades ago. 🙂 #StrageLoop #clojure #bash #babashka

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@javahippie ...and dtypenext and/or fastmath for more efficient and advanced math/stats/ml stuff depending on your needs.

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@javahippie ...and dtypenext and/or fastmath for more efficient and advanced math/stats/ml stuff depending on your needs.

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@javahippie Not knowing the details of your project, but I'd personally go with clojure/script, clerk (at least for exploration), vega-lite or plotly for viz and tablecloth (= pandas/dplyr) for wrangling. Used to do this kind of thing in R, but clojure works pretty nicely now for data science.

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@javahippie Not knowing the details of your project, but I'd personally go with clojure/script, clerk (at least for exploration), vega-lite or plotly for viz and tablecloth (= pandas/dplyr) for wrangling. Used to do this kind of thing in R, but clojure works pretty nicely now for data science.

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@keefeglise spoons are out, forks are in!

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@keefeglise spoons are out, forks are in!

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Little did we grasp, however, that even within this seemingly fractured landscape, we were still in that old universe with this shared discourse—a mere precursor to the inevitable journey into the fragmented realm of personal languages and individual narratives, where common ground would become an elusive relic of the past. 2/2

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Little did we grasp, however, that even within this seemingly fractured landscape, we were still in that old universe with this shared discourse—a mere precursor to the inevitable journey into the fragmented realm of personal languages and individual narratives, where common ground would become an elusive relic of the past. 2/2

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In the wake of the social media high, it didn't take long for folks to realize that the once-unified realm of watercooler conversations from the broadcast era had splintered into tiny bubbles and fleeting banal memes. 1/2

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In the wake of the social media high, it didn't take long for folks to realize that the once-unified realm of watercooler conversations from the broadcast era had splintered into tiny bubbles and fleeting banal memes. 1/2

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I'm facing issues with my Dell XPS 15's #NVIDIA card on #archlinux Fun project debugging it, but other priorities are banging at the door. Consequently, I considered hiring an consultant for help for a few hours. Yet, the time I've spent looking for such a guru is soon probably equal to what it would take to fix it myself. Finding such tech support is surprisingly challenging, or maybe I just need a consultant to assist with my googling.

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I'm facing issues with my Dell XPS 15's #NVIDIA card on #archlinux Fun project debugging it, but other priorities are banging at the door. Consequently, I considered hiring an consultant for help for a few hours. Yet, the time I've spent looking for such a guru is soon probably equal to what it would take to fix it myself. Finding such tech support is surprisingly challenging, or maybe I just need a consultant to assist with my googling.

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Ep32 Relevance Podcast (later Cognicast) is a conversation from 2013 on Stuart Sierra's workflow that birthed the component lib. The background noise (recorded during a car ride) made it hard to listen hence used Adobe podcast enhancer. Resulting audio has some artifacts likely due to the original recording noise or compression to MP3, but quite a change! Enhanced file attached below. Find the original here: https://www. cognitect.com/cognicast/032-st uart-sierra #clojure

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Ep32 Relevance Podcast (later Cognicast) is a conversation from 2013 on Stuart Sierra's workflow that birthed the component lib. The background noise (recorded during a car ride) made it hard to listen hence used Adobe podcast enhancer. Resulting audio has some artifacts likely due to the original recording noise or compression to MP3, but quite a change! Enhanced file attached below. Find the original here: https://www. cognitect.com/cognicast/032-st uart-sierra #clojure

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MP3 file of episode 32 of Relevance podcast (later Cognicast) cleaned with adobe podcast enhancer.

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@yngmar :-) i'll try not to sail into a bank wearing that. at least while being armed.

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@yngmar :-) i'll try not to sail into a bank wearing that. at least while being armed.

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@yngmar got this, this Summer for that very reason...

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@yngmar got this, this Summer for that very reason...

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@Matjoe I think you are correctly suggesting that you might be describing a strong AI there. As far as I know, Language Models (LLMs) are not aware of anything, so how could they know if they know or not? (Of course, we might come up with some clever engineering solutions to this problem, or we might not, but that's a different story.)

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@Matjoe I think you are correctly suggesting that you might be describing a strong AI there. As far as I know, Language Models (LLMs) are not aware of anything, so how could they know if they know or not? (Of course, we might come up with some clever engineering solutions to this problem, or we might not, but that's a different story.)

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Hmm, if you no longer use "Twitter," would it be okay if I use it?

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Hmm, if you no longer use "Twitter," would it be okay if I use it?

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@louis@emacs.ch just org table plus table calculating functions and org timer functions with an extra helper function to start a timer X minutes ago. Works nicely.

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@louis@emacs.ch just org table plus table calculating functions and org timer functions with an extra helper function to start a timer X minutes ago. Works nicely.