Any free hosting solution tends to spiral towards abuse at some point.
Does it work? I'm a paid user, but set up a new free account to see if the deployment stuff worked there too (as I was linking to it from elsewhere) and it said I had to upgrade to a plan that supported it.
I bought one as it was on sale at the same price as the normal iPhone. Pretty good: 8/10. I have no interest in photos, don't need long battery life, and the lighter/thinner the better.
That said, I'd prefer something smaller but thicker with no protrusions/camera bump at all. I hate the wonkiness of all modern iPhones when sat on a table. I think the last totally flat one was the iPhone 5s!
Not a “road” as such, but it’s also quite common in multi storey car parks as well where a ramp is shared by traffic going both up and down to stop unnecessary crossovers at each level.
It's been several years (and the issues are in my office so I could take a look later) but I recall it was a mix. They'd sometimes group big stories together thematically (like when all the billionaires were starting to get into space) but also do longer-term reflections on single, complex stories like the Salisbury Novichok incident.
I don't recall it really surfacing things that didn't make the news cycle, but one thing I failed to mention is they had (have?) really good infographics/visualizations! They have a lot of the more recent ones here https://www.slow-journalism.com/filter/infographics
I was subscribed to this. It's beautifully designed, well written, good paper stock, the works. If the idea appeals to you, it's worth trying.
Ultimately, it didn't work for me, but that's my fault. Despite my best intentions, it turned out I wasn't interested in reading about world affairs beyond the news cycle.
Which, more often than not, causes weird titles I’m more likely to click due to sounding curious and interesting, undoing the entire point of the feature.
I would not have clicked on “How My Images Are Dithered” but this truncated version made it sound more like an interesting bug story.
I wonder if the broad use of AI overviews on Google search results is having an impact. Maybe the numbers make it more profitable to use their compute on several billion searches a day rather than selling API access.
Various devices that I don't want to install the official software or drivers to control. I've done this with several things, but just as an example I have a MIDI MPC pad (the sort of thing samplers/beat makers use) and worked out it had various features not supported officially like controlling the lights on the pads. I also discovered some cheap Chinese lights my daughter owns are controllable over BLE without encryption.
"it doesn't silently go unnoticed", "would be silently inert", "instead of silently overwriting", "you can never silently overwrite"
The biggest tell for me is overuse of the term "silently". "quietly" is another one you often see from Claude in particular. Models love adverbs for whatever reason, whereas a human writer would use them in moderation for emphasis or prefer terms like "by accident".
I read this when it came out as a long time Ballard fan. It fleshed out a little more about his life I didn’t know, but becomes a weird read for the final third where the focus is on the co-author dying and the author switches to his wife, an originally unintended co-author. They certainly had a story of their own to tell, but it felt rather odd.
This has long been one of my favorite papers, if only for the opening example. When I walked through it, it was an eye opener to a different level of thinking about code, one that assembly and democoders are probably working in every day.
Cache writes/reads are the majority of the picture for agentic development. When you see these people saying a coding run "used 200 million tokens" or whatever, most of that is cache reads, so it should be the headline price IMO (and is one reason why DeepSeek API is so striking with its minuscule cache pricing).
Probably easier to think of it more as a fast, native-backed library for a JS runtime like Node to build Markdown processors/pipelines or even just do parsing. (Though it does have a WASM build for browser/edge use.)
I wouldn't be surprised if it were more accurate based on the errors I've seen. I always eyeball the books and was confused when a £15k building popped up on our asset sheet. It turns out a "workshop" had been categorised as a building we had purchased, rather than the training session it actually was.
This is the importance of having layers and multiple sets of eyes on things, though. Even if it had got past me, my accountant would have surely queried it at year end, but that could be true of an LLM mistake too.
Back in 1999, the UK had its first total solar eclipse for several decades and VH1 played the music video (though, not this one ;-)) on loop for an hour while it was happening.
I was intrigued, because even a broad location given for an IP address is "geolocation data", but the law says "precise geolocation data" which limits it to device-reported data, I assume.
(I'm naive in this area, but..) I wonder if the various "proof of age" laws coming into play will clash with the GDPR in insidious ways. Like requiring identity providers to hold definitive "proof" of why they made an assessment rather than merely proving and discarding. I assume/hope there is some cryptographic way to do this rather than hang on to passport and ID images, however.
I'm pro-AI, but when I can't even give Claude a photo of my fingers clearly on four different piano keys and get an accurate result of which keys I'm pressing, I'm bearish on its visual analyses. (With that said, I imagine it's been trained on more photos of MRI scans than people playing piano, so I could see how it might provide interesting ideas for a radiologist to consider.)
They could treat the extreme spec machines separately from the prosumer ones, like they did with the Xserve. Let business customers spec up to 768GB (say) who are prepared for a $20-25k price tag, while keeping them away from the stores and usual consumer supply chains (Amazon et al). It may not be a big enough market segment for them to care about anymore, though.
(I know this is not how business works, but..) I worked out if they ate a $200 per Mac bump themselves, their reserves would run out in 58 years at current sales rates :-D
More realistically, though, I'm surprised they didn't eat it up until new releases when they often increase prices. All the current models will be gone in a year and they'd probably barely notice that. Perhaps they've been eating it up for the past year or two and push came to shove.
Nothing mentioned about the use of AI by elementary school teachers who may well be using it to generate sub-par worksheets or to rapidly, and potentially inaccurately, mark work.
Every special event flyer I get from my kids' school now seems to be AI generated. I'd be surprised if quizzes and worksheets don't head the same way.
Not quite what you suggested, but I did some experiments several months ago "enhancing" the samples in tracker music with some models, and they sounded terrible. There really is something about the sound of tracker files that's just right. But sure, you could generate lo-fi samples, there's a lot of computer generated samples in music, but putting them together into a pleasing combination is the hard bit.
If you're just having fun with it, there are a whole bunch of other things that produce interesting options, like asking it to theme according to a movie (think Clockwork Orange, Backrooms, anything with a strong aesthetic), or throw screenshots and photos at it and use it as a "design system" (magazine/print layouts can work well with this on stronger models).
As a few people have asked for screenshots, I spun it up. Here's a video of the basic gameplay: https://peterc.org/misc/fpscob.mp4 .. it's clunky, but it does play.
Yeah, the patched llama.cpp. The reason is I saw that using the Q4 quant on vLLM is discouraged and the int8 won't fit on my 3090 Ti, but I could certainly give it a go. I also skipped Transformers as it needs to download the full weights and quantize them locally and I didn't fancy waiting for a 50GB download.
I'm not getting anywhere near the speeds advertised on my 3090 Ti, alas, but it's fun watching it "fill out" its answers. I did Simon's "SVG pelican on a bicycle" test on it and the result was quite minimalistic but fit the brief: https://gist.github.com/peterc/7672e74ec1437945e5fca5ce2c1c9... -- this was on the Q4 quant running on patched llama.cpp. I will be interested to see if Simon's looks much different.