Hard Pass

Lately on yt I have been seeing a shitload of ads for a new oven with AI, it is marketed as knowing what you are cooking in it would make it better.

I don't see how.

Also, on the product page on the manufacturers web page, the second sentence of the body reads:

Navigating through the extensive settings menu is beautifully simple with the new touch screen user interface.

I am sorry, a fucking settings menu on an oven is a primary sales argument?

What the hell?

There is more shit:

With cookControl Pro, all you have to do is select your dish, choose how you want it done, and let your oven do the rest.

You mean like a normal oven? You set the temp according to the dish?.

They even brags about internal steak and bread thermometers, we have had those for decades.

Well obviously, it has a connection to an app or even a smart speaker, and ofcourse the UI on the oven is a touch UI.

Thanks, but no thanks, I'll keep using my oven with normal knobs....

Source: https://imginn.com/entrapranure/p/DV1q4w_AIgN/

N.Y. Times:

‘Gov. Gavin Newsom signed legislation on Saturday that is meant to prevent interference in California’s midterm elections in response to efforts by President Trump and other Republicans to restrict voting participation. …

‘One bill prohibits the seizure of… Continue reading

The post ‘Newsom Signs Bills Meant to Prevent Trump’s Interference in Midterms’ appeared first on Election Law Blog.

i have been following Chinese models for about two years now because they are open-weight and qwen is fun to run on my kubernetes cluster, the news about this Apache licensed model complete with a recipe to make it again with potentially different ingredients is making we want to abandon them for something more ideologically sound and way more interesting

this new model, couldn't universities rebuild it with different contexts and study it in ways you can't reproduce in other models? like, is k2 horizons a good scientific foundation on which to study machine learning?

or am i just lacking way too much context and falling for hype?

It turns out you can make a really fast instruction decoder in Scrap Mechanic if only you can figure out a special bit mask for each ALU operation. It turns out this is really frickity fucking hard to do by hand so I told a SAT solver to do it and it was fine until I asked for all the combinations I wanted and then... This.

c CNF file written by RustSAT  
p cnf 217953 1366264  

Also also it turns out using 100% of all 24 cores on a laptop for 8 hours makes for some heat issues so I had to limit each core to 50% utilization so it will take twice as long yay.

UPDATE: it's been 18 hours and the best it's got it 3.925%. If I linearly extrapolate, it will take 400-500 hours ≈ 2.5-3 weeks.

UPDATE 2: I've turned it off, as I don't have more than a weekend to just leave my laptop sitting around.