Just an early example of AI psychosis

In QEMU all of our CI environments are replicable locally as docker/podman images. However usually flaky CI is due to races exposed on overloaded runners so I often also run make -j(nproc) at the same time to simulate that. A retry script is also useful to get an idea of how stable a test is. Having sanitizer builds can also help.

To be fair to him he certainly seems to have tried to be careful. I have no idea if he’s actually a qualified sparky.

I thought Episode IV was in the initial crawl text.

ETA I’ve just checked and apparently it was added in the special editions, the original 1977 crawl just started with the story.

Sony can afford to discount on the promise of online sales and planned cost reduction. I’m not sure Microsoft are going to manage another Xbox.

I watched the 7.10 repeat. It was an exilerating if a little stressful start to my Monday morning.

I suspect it’s profitable in the abstract - and their accountants would be bad at their jobs if they couldn’t work out what utilisation rate you need to pay for the server runtime.

However how aggressively you amortise the cost of the training is the key, especially if you keep releasing new models every 6 months.

Invariably it’s having to scroll that’s the issue and you don’t want to be cross contaminating via your shiny black mirror.

Yes. I may be biased but the Arm architecture itself is fine and pretty performant on modern SoCs. Once the system vendors actually manage to ship something without a broken PCIe bus is happily daily drive it.

Hell if I could reliably get EL2 I’d even spring for one of the Snapdragon laptops.

Following recipes. These days I print them out because it’s a pain constantly washing your hands to check the next step on the phone. But I’m not buying smart glasses just that. My normal glasses are expensive enough already.

They got him didn’t they?

Is this a sign of Lemmy’s popularity that we are now getting thirst spam?

I was bracing for AI slop but was pleasantly surprised to find it is good old fashioned editing.

Because running servers costs money. The project I work on gets donations towards it’s CI costs and it’s not insignificant.

“Just going to pop outside to smoke a removed” would not raise eyebrows in the UK.

Rouge Waters looks like it might tickle my turn based and piratical interests.

The NHS has a wealth of data which makes conducting studies across large population groups possible. For example Dexamethasone as a treatment for COVID was identified thanks to having access to a medical history and outcome data across the NHS.

Even so there has not historically been a unified data storage solution as information is split between GPs and individual hospital trusts. Previous attempts to have a single system failed due to complexity and cost overruns. The current solution is the federated data platform (FDP): https://www.england.nhs.uk/digitaltechnology/nhs-federated-data-platform/ which attempts to interoperate with multiple primary data sources to help clinicians access patient records as well as help with resource and service planning.

I assume the Palentir system is involved with providing some sort of AI insights into that data store.

I personally have email integrated into my editor (mu4e) so I can apply patches and search code directly from the email thread. It handles threads and searching really well.

Issue triage, code exploration, extracting information from disparate sources, first pass code review. There are loads of use cases that it’s potentially useful.

For me it’s a lot better at extracting the requirements for a CPU feature from a 10,000 page architecture reference manual than I am.

I have API access at work because I don’t want to be tied to a UI. I’m very aware of the cost because I’m trying to see where it offers good value for money.

Of course things like the deep research and notebooklm are covered by the Google workplace fees which while including more than the personal plans are also a fair bit more expensive.