The problem with Chinese EVs is that they show it's possible to innovate, keep prices down, and mass produce.
Ford, GM, even Tesla, are spending all their time whining about how it's just not possible to compete. They point the finger at worker wages, instead of improving engineering and design, materials, manufacturing processes, and not chasing stock-market gains.
Stop making $70K SUVs and start making $20K Taurus and Escort EVs. You did it once. You can do it again.
Thanks! Looks like lots of options out there.
Our power panel is old and we've been advised it may need replacing. I briefly looked at Span panels, with built-in energy monitoring, but they're not cheap. These monitors look like you at least get the data at a much more reasonable price.
How did you get the breakdown? We have a really old panel and may be looking at getting a new one in the next year. Would love to be able to see the breakdowns and figure out where it's going. FWIW, in PG&E territory.
Good read. Sad ending that all that work ended up nowhere.
Switched over to Fox to see how they were going to spin it.
Hannity was like: "The moderators are lefties. It was 3-1 ."
Then he brought on Rubio, and I clicked away.
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When this whole 'training' trend started a few years ago, there were companies offering image and video labelling services.
It turned out they were mostly sweatshops in low-income countries, where people sat in front of monitors and just dragged boumding boxes around sections of images and picked from an icon menu. Here's a car, here's a person, here's an apple. That sort of thing. You didn't even need to know how to read or write.
Of course, the quality was questionable, so they needed a second layer of supervisors verifying the choices. But even with that, the cost was way lower than having an engineer or QA person do it. IIRC, there was a bit of hue and cry when stories came out of big tech companies supporting sweatshop conditions.
Sounds like it's still ongoing.
NEW, automated children's bicycle. Guaranteed to teach the little tyke how to ride! *
I've been using ChatGPT, specialized ones on Huggingface, and a bunch of local ones using ollama. A colleague who is into this deep says Claude is giving him best results.
Thing is, depends on the task. For coding, I've found all suck. ChatGPT gets you up to a point, then puts out completely wrong stuff. Gemini, Microsoft, and CodeWhisperer put out half-baked rubbish. If you don't already know the domain, it will be frustrating finding the bugs.
For images, I've tried DALL-E for placeholder graphics. Problem is, if you change a single prompt element to refine the output, it will generate completely different images with no way to go back. Same with Adobe generators. Folks have recommended Stability for related images. Will be trying that next.
Most LLMs are just barely acceptable. Good for casual messing around, but I wouldn't bet the business on any of them. Once the novelty wears off, and the CFOs tally up the costs, my prediction is a lot of these are going away.
A few jobs ago, everyone hated the tech stack. The people who had come up with it had long left. I talked to everyone, then came up with a plan to transition to a modern stack. Got buy-in from management.
Half the people (and all who had said they hated the status quo) threatened to quit if we made the change.
Fortunately, it was just in time to collect the 1-year retention bonus. Life's too short. Walked away.
Last time, it didn't go so well for the robot:
https://www.theverge.com/tldr/2017/7/17/15986042/dc-security-robot-k5-falls-into-water