I just want to buy home automation gadgets that don’t need a bloody cloud account to work.

That’s mostly accounting for the resolution and motion sensitivity in different parts of the eye. With enough cameras a car should be able too “see” more than we could at any one time.

I think car automation peaked at adaptive cruise control. It’s a simple tractable problem that’s generally well confined and improves the drivers ability to concentrate on other road risks.

I can see the argument that visible light should be enough given we humans can drive with just two eyes and a few mirrors. However that argument probably misses the millions of years of evolution of our neural networks have gone through while hunting and tracking threats that happens to make predicting where other cars might be mostly fine.

I have a feeling regulators aren’t going to be happy with a claim of driving better than the average human. FSD should be aiming to be at least 10x better than the best human drivers and we’re a long way off from that.

For portability Vulkan is the way (it also gets you GPU compute for free without needing vendor libraries). That said the ruttabaga encapsulation is useful for things like Wayland over virtio-gpu which is useful for some use cases.

I should note for even closer to native performance you want virtio-gpu with native context. Patches for that are currently being reviewed on the mailing list: https://patchew.org/QEMU/20241024233355.136867-1-dmitry.osipenko@collabora.com/

It depends what they want to do. They can fork and take on the burden of maintaining the whole tree in which case good luck with that, linux is too much of a fire hose to enable a 3rd party to assemble something similar making different choices about what they merge. Otherwise they can maintain a re-based fork that tracks the Torvalds tree and then congratulations you’ve just invented a feature tree that can do contribution with extra steps.

I don’t think algorithms themselves are to blame but what they are tuned for. While engagement/eyeball hours for the adserver is the prime metric the quality of experience will be subservient to it. If the algorithms could better measure your mood and stimulation levels and maximise for that the effect would be less toxic. Ideally if it realised you were just mindlessly consuming it could suggest maybe you’ve done enough today and to try something else. But that I fear that is not something the owners of the various ecosystems want.

I don’t quite follow what this is. Is it a from scratch implementation of the vscode experience or a fork which has removed propriety and telemetry?

FEX redirects graphics library calls to their native equivalents. This substantially reduces the amount of translated code you need to execute.

slp did a nice demo at KVM Forum last month. https://kvm-forum.qemu.org/2024/The_many_faces_of_virtio-gpu_F4XtKDi.pdf and https://youtu.be/10Ztv0UI5I0?si=19KPcA6wGbXM3IsS

How can Google vet an app store without vetting everything it could serve?

We still have a lot of slag heaps in the top of some of our local hills. They make for some interesting mountain bike runs but they aren’t exactly diverse in floor coverage. Some pits are now tourist attractions but I don’t know what ongoing work is done to maintain the abandoned ones.

What do people expect? Those servers aren’t free to run and they’re is only so much VC money to burn. That said I wouldn’t pay the various subscription levels that are currently being asked for. I pay for API use which is basically pay as you go. It also makes you think “does this task really need the non-free tier to complete?”.

I assume that is too cover the intelligence officers monitoring the Russian milbloggers.

I work for a company that makes money supporting FLOSS. Our members pay fairly hefty membership fees because they have a vested interest in their chips being well supported by Linux and the wider ecosystem. That money funds common projects they all benefit from all well as numerous maintainers in projects keeping those projects ticking.

The engineers on the project I mostly work on are predominantly paid to work on it. We value our hobbyist itch scratchers (~10% off contributors) but it’s commercial money that keeps those patches reviewed and flowing.

Quite. Go to the big services that know how to moderate and maintain (and importantly pay for) a public square. But also encourage the interesting ones enable federation for wider coverage.

There are some advantages to algorithms for discovery - it’s certainly is more user friendly. It’s just a shame they tend to enshitify or become toxic. Bluesky seem to offer an API of sorts to plug in feeds you create. Perhaps open algorithms are more accountable?

They won’t directly support it because in their view the Google Play process is a more secure way of verifying they supplied the binaries than is possible of f-droid. If reproducible builds were possible maybe there could be some mechanism to verify a given binary is built from a given commit of the source tree.

When did this change? AIUI creators got a larger cut of YouTube premium views compared to ad share.

Erm…yes? There is obviously a rush to integrate the latest generative AI tools in everything without thinking about the consequences of it’s failure modes.