I’ve thought about jolla, but I’m not particularly interested right now. Their security is unlikely to be anything like as good as ios or graphene, software availability is poor, the hardware quality appears to be ok at best, and so on.
I’m considering various alternative devices, but if it’s effectively a “vanilla smartphone only slightly worse” it doesn’t really appeal to me. If they’d built a modern n900, on the other hand…
This is fun: a zero-click android exploit that allows arbitrary code execution and privilege escalation. Y’know, the worst kind. How did we get here?
Over the past few years, several AI-powered features have been added to mobile phones that allow users to better search and understand their messages. One effect of this change is increased 0-click attack surface, as efficient analysis often requires message media to be decoded before the message is opened by the user. One such feature is audio transcription. Incoming SMS and RCS audio attachments received by Google Messages are now automatically decoded with no user interaction. As a result, audio decoders are now in the 0-click attack surface of most Android phones.
AI, making everything worse, even before it runs!
https://projectzero.google/2026/01/pixel-0-click-part-1.html
Every now and then, I think about going back to android, and then I read stuff like this. FWIW, iOS had a closely related bug, but compiled the offending code with bounds checks, so it wasn’t usefully exploitable (and required some user interaction, too).
Anyway, if you do android, maybe check if automatic transcription is enabled.
Blacksky has delivered on bluesky’s promise of federation by setting up their own app view, creating a complete and independent third party implementation.
https://blacksky.community/profile/did:plc:w4xbfzo7kqfes5zb7r6qv3rw/post/3mcozwdhjos2b
Mcc has an interesting thread on mastodon (https://mastodon.social/@mcc/115918042095581428) which asks a bunch of questions about what the actual consequences of this might be, and no-one really seems to know, but no-one has much faith in the engineering or moderation chops of the bluesky team.
It looks like bluesky is somewhat vulnerable to rich trolls, because the main barrier to entry is cost… blacksky has budget of maybe 80000 usd/year (https://opencollective.com/blacksky) which is well within the reach of a whole bunch of people prepared to spend money to be egregious assholes, especially if they already have access to suitable talent and equipment. It’ll be bleakly interesting to see who tries this first.
A fun little software exercise with no real world uses at all: https://drewmayo.com/1000-words/about.html
Turns out that if you stuff the right shaped bytes into png image tEXt chunks (which don’t get compressed), the base64 encoded form of that image has sections that look like human readable text.
What are the implications?
Nothing! This was just for fun after a discussion with a colleague whether it might be even possible to make base64 blobs look readable. There's certainly no poorly coded systems out there which might be hooked up to read emails or webpages and interpret any text they see as information.
No siree I'm sure everyone is keeping the attachments and the content well and truly isolated from each other and this couldn't possibly do anything other than be a fun proof of concept and excuse for me to play with wasm.
As an update, the original author received sufficient negative feedback and abuse that they’ve closed the repo and decided to give open source and social media a bit of a rest for the foreseeable future. Hopefully the projects they’ve created and been working on will live on, but it is quite a loss to the community either way.
I feel like one day that “no guarantee of merchantability or fitness for any particular purpose” thing will have to give.
Python at least has the advantage that there are a bunch of ides and fancy text editors out there (with varying degrees of llm integration), so if one doesn’t work for you there are alternatives. Fwiw, there are several different language servers as well, though I’m not sure how easy they are to swap in codium.
I’ve been using zed of late. It has an ai killswitch, which is good enough for my needs which are a bit less hardline than the authors of the slopware list, and also helix which is nice but a very different sort of tool.
There’s room for some nuance there. They make some reasonable predictions, like chatbot use seems likely to enter the dsm as a contributing factor for psychosis, and they’re all experience systems programmers who immediately shot down Willison when he said that an llm-generated device driver would be fine, because device drivers either obviously work or obviously don’t, but then fall foul of the old gell-mann amnesia problem.
Certainly, their past episodes have been good, and the back catalogue stretches back quite some time, but I'm not particularly interested in that sort of discussion here.
My gloomy prediction is that (b) is the way things will go, at least in part because there are fewer meaningful consequences for producing awful software, and if you started from something that was basically ok it’ll take longer for you to fail.
Startups will be slopcoded and fail quick, or be human coded but will struggle to distinguish themselves well enough to get customers and investment, especially after the ai bubble pops and we get a global recession.
The problems will eventually work themselves out of the system one way or another, because people would like things that aren’t complete garbage and will eventually discover how to make and/or buy them, but it could take years for the current damage to go away.
I don’t like being a doomer, but it is hard to be optimistic about the sector right now.
Eh, it works okay for me. What’s “the language server” in this case? The third party c# language server isn’t great, but I’ve had no particular issues with python, julia, lean4, rust, dafny and tla+. I can’t recommended (vs)codium because it is a monstrous memory hog, and even in its de-microsofted form it’ll be full of vide-coding, but where there aren’t good alternatives is gets a solid “it’ll do” from me.
If that won’t sell it to governments around the world, I don’t know what will. Elon’s on to a winner with that strategy.
Armin Ronacher, who is an experienced software dev with a fair amount of open and less open source projects under his belt, was up until fairly recently a keen user of llm coding tools. (he’s also the founder of “earendil”, a pro-ai software pbc, and any company with a name from tolkien’s legendarium deserves suspicion these days)
His faith in ai seems to have taken bit of a knock lately: https://lucumr.pocoo.org/2026/1/18/agent-psychosis/
He’s not using psychosis in the sense of people who have actually developed serious mental health issues as a result of chatbot use, but software developers who seem to have lost touch with what they were originally trying to and just kind a roll around in the slop, mistaking it for productivity.
He’s still pro-ai, and seems to be vaguely hoping that improvements in tooling and dev culture will help stem the tide of worthless slop prs that are drowning every large open source project out there, but he has no actual idea if any of that can or will happen (which it won’t, of course, but faith takes a while to fade).
As always though, the first step is to realise you have a problem.