I'm reading Shakespeare's Professional Career by Peter Thomson. Like most really good books, it covers much more than its title implies. It's so packed with detail that it's half way to being a history of the Elizabethan period.

If you know anyone looking for a good and fairly AI-proof career, watchmaker (= watch repairer) seems a promising one. Every watchmaker seems to have more work than he can handle, mechanical watches are increasingly popular, and it will be a while before AI does this.

White Georgia couple terrorized a Black family at a child’s birthday party with Confederate flags, slurs, a shotgun, and death threats. Joe Torres: 20 years (13 to serve). Kayla Norton: 15 years (6 to serve).

Want a sneak peek at the new AI cinema hitting Fairground AI Creator TV? As we start rolling out our next wave of programming, here are four upcoming films and series we can't wait to see on the channel. Red Rainbow: Created by Aze Alter (@AzeAlter), this Phantom X (@PhantomX_ai) original is set in The Capital, a high-tech underground utopia of absolute safety and unity, where perfection harbors its own unsettling quirks. The Last: Created by Diane Laidlaw (@misslaidlaw), The Last examines the unintended consequences of technology and what we risk losing in the pursuit of progress. Thought-provoking, cinematic, and urgent. NOCTARI 3 & 4: Jakob Söe-Pedersen's hit series continues with its next two chapters. In SHADOW REALM and THE NEW ORDER, follow Nino, Scarecrow, Tinman and the Captain as they navigate a mirror reality. the series has great action, characters and a wonderful plot if you're new to NOCTARI. Cryptid Dating Game: Created by BLVCKL!GHT (@BLVCKLIGHTai), according to him it's the only show banned in 14 dimensions and mandatory viewing in 3 hells. Watch if you dare! And that's just the start. Follow along for more sneak peeks, upcoming releases, and creator spotlights. Watch free on Roku (channel 300), LG (channel 249), Prime Video, Xumo Play, and upcoming platforms. #AIFilm# #AICinema# #AICreators# #aifilmmakers# #aivideo#

Using "think" to describe what an LLM does reminds me of the 16th century, when astronomers didn't really believe in the heliocentric model, but used it for calculations anyway because the math was simpler. We'll start by calling it thinking, then gradually acknowledge it is.

I happen to have read a lot of rock stars' autobiographies (Jessica buys them, and then I pick them up and read them), and the one consistent theme is the drugs. Back in the day, music and drugs were inseparable to a degree people would find hard to grasp today.

A CS undergrad asked me where he could have most effect in the AI age. I said probably at either extreme: either close to the technology, actually making LLMs, or close to the customer, using AI to give them exactly what they want. Or maybe both if you can stretch that far.

Prewar movements were often designed to fit in the rectangular cases that were in fashion then. The war made round watches fashionable (because all military watches were round). So inside 1940s watches you sometimes find this:

What are the most asked questions we're getting right now? As we wrap up the launch period of Fairground AI Creator TV, we wanted to answer the questions we hear most from our community. 1. How do I know if my film will be distributed? Once a film is submitted, we run it through a process that evaluates IP, trademarks, music rights, and more. If cleared, it goes to manual review, where we try to match it with distribution opportunities. Demand has been intense. Submission volume has been overwhelming and new films currently face a wait of almost a month for evaluation. We don't believe in shortcuts. Every film deserves the time and attention to be reviewed properly and that's something we deeply care about. That said, we're not happy with that timeline. We're actively working to review content faster and give our community clearer updates on where their film stands. Right now, we only reach out when a distribution opportunity arises, factoring in previous submissions. Expect improvements in the coming months. 2. What does reporting look like? Stream starts, watch time, time slot performance, and demographics are the metrics we plan to provide by year-end. As all platforms report differently, we're focused on offering the best data possible, while accepting that some provide more granular data than others. Initial reporting is already coming in. Full revenue and performance data can take 60–120 days. That's the nature of CTV and FAST platform reporting cycles, not something specific to us. 3. How much money will my content make? This is the question that matters most (and for good reason). AI cinema is still hard to monetize and few creators are making a full-time living from it yet. We want to be transparent about revenue while we build toward a future where more AI filmmakers can focus solely on making amazing content. Revenue reporting from CTV and FAST platforms typically comes at the end of the reporting cycle mentioned above. As that data comes in, we'll first share a forecast with our community that gives them a clearer sense of earning potential. Once the finalized data is available, we'll be disclosing more publicly. Our goal is data that's fast and useful, but accuracy comes first. For more on content submissions, check out our updated Submission Information page: We update it regularly and if there's something you want added, message us!