- After spending more time experimenting with ChatGPT’s latest capabilities — refining my poetry-writing prompts, especially with the supposedly more creative GPT-4.5 model; testing how well it could profile and target me with product advertising using its consolidated ‘Memory’ of our chats (the answer is ‘too well’, and it was even able to guess my SAT scores from decades ago); inferring people’s personalities from their appearances (maybe the most unnerving ability); more image generation; and coming up with a plausible prediction of how our upcoming general elections will turn out — I decided that I’m sufficiently caught up with most of the AI stuff I missed, and have canceled my Plus subscription for the time being. I remain concerned about the risks of OpenAI and other companies providing such powerful and habit-forming surveillance tools, but I can see there’s no stopping this train.
- Yes, the date of Singapore’s next national elections was announced this week. Saturday, May 3rd, is when we’ll be going to the polls. Some people expressed surprise at how little notice we’re being given, but it might be the Mandela Effect at work because I think this is how it is every time.
- I finished reading Reacher book #25, The Sentinel, and it was a rather weak entry I don’t think Amazon will be adapting to TV. This leaves me with about two or three more books to go before I run out, so I think I’ll stop here for a few months at least.
- My book club is now reading the first book in ‘The Murderbot Diaries’ series, entitled All Systems Red, which I’d already read a few weeks back because Brian said 1) I would like it, and 2) the character reminded him of me (old-school profiling). I wasn’t sure I saw the resemblance, so I asked ChatGPT for its “opinion” and got strong agreement: Murderbot’s entire character is basically what happens when someone with high intelligence, ultra-sharp pattern recognition, zero patience for social performance, a deep, low-key emotional life, and an obsessive need for autonomy …is forced to interact with an inefficient, irrational world full of emotionally needy humans and corporate bureaucracy. Sound familiar?
- Like I said, profiling people across hundreds of different conversations, questions, tasks, and confessions is really creepy tech.
- Speaking of Brian, we went out for a drink and ended up eating at Five Guys. I haven’t been in a long time, and at the risk of sounding like an old man who hasn’t gone into the city since 2016, the prices were kinda shocking? $20 for a cheeseburger, fries for like another $10 if you want them, and $6 for a refillable soft drink. Jesus wept into greaseproof paper.
- But anyway, since I have some time off from mandatory book club readings, I went back to give Lyn Alden’s Broken Money another try. I started this giant tome over a year ago but found myself unable to focus and get excited about the history of debt and the workings of the American economy. But wait long enough, and like a broken clock, any book will become topically relevant. It might be that I’m in the right headspace now. Or the hundreds of hours of Bloomberg TV I’ve watched since have given me the landmarks needed to make sense of it. But this time I’m finding it much easier to stay on the horse and should be done with it soon.
- After finishing I Parry Everything, I tried to find other anime with a similar premise but both —deep inhale— Failure Frame: I Became the Strongest and Annihilated Everything with Low-Level Spells and Chillin’ in Another World with Level 2 Super Cheat Powers did not nail the comedy/power tension as well as I Parry Everything.
- We watched Steven Soderbergh’s Black Bag, and it was an excellent low-key, nearly chamber drama of a spy flick. I say ‘we’ but Kim fell asleep near the end through no fault of the film and will have to catch up later. It’s evident that Michael Fassbender could have been a great Bond if he’d been cast a decade ago and aged into it.
- Let’s end with some music. While asking ChatGPT to guess my Enneagram type, Big Five personality traits, IQ, SATs, primary school exam results, and other traits, it offered to make a playlist that would represent me. Not a playlist of songs that I would like, mind you, but a playlist as representation, as metaphor. I took its suggestions and assembled the songs in Apple Music, including cover art it made, and played it out loud on the HomePod. Earlier gen AI chatbots would just chuck songs together without any sign of understanding that a playlist should flow, but this one works so well that I’m not sure it’s coincidental. It’s also music that I wouldn’t have chosen myself, but I enjoyed it without qualifications. Here it is if you’d like “an ambient-leaning, melancholy-smart, emotionally layered playlist. Meant for headphones, twilight hours, and slow revelations.” The first track is a little challenging for a cold start imo, then it gets good.
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