This highlights to me the compounding of knowledge networked AI experts working with human experts will bring.
"But I wonder if someday there will be a representation that is more easily interpretable like language but is able to capture high dimensional complex functions in a standard and concise way"
Perhaps we can train AI experts to show us what parameters they found most useful in contrast to what human experts used. That could be a start at filling in the human knowledge gaps.
This seems to be a negative form of American exceptionalism. If Japan, Korea, Taiwan, China and Vietnam can do it, what is it about the USA that makes you think the USA cannot do it. At the very least we could bring experts from other countries in to demonstrate, teach, etc.
Manufacturing in the USA is slowly improving.
"The Manufacturing PMI® registered 52.7 percent in March, a 0.3-percentage point increase compared to the reading of 52.4 percent in February. The overall economy continued in expansion for the 17th month in a row."
I agree and lets not label something as dangerous or expensive if it can be made to be affordable and safe. "As of 2026, 59 nuclear power plants are operational in mainland China, second globally to the United States, which has 94." "There are over 28 further plants under construction with a total power of 32.3 GW, ranked first for the 18th consecutive year"
The time to negotiate that would have been before this announcement. Carney has doomed Canada's auto industry because he is negotiating with his emotions.
The deal allows up to 70,000 cars a year by 2030 to be imported at the reduced tariff. Canadians buy 1.5-2 million cars per year, and roughly a quarter million EVs per year.
If this deal as reported somehow manages to doom the Canadian auto industry, then our auto industry was probably somehow doomed anyways.
I don’t see how. Chinese manufacturers aren’t going to setup multi billion dollar plants without some market presence, that comes after.
Letting in some small amount of Chinese EVs for so they can test the waters seems sensible all around. If they are popular then negotiate on local manufacturing to allow a larger market share.
it is. There are many websites and applications that I use, like wikipedia and linux / kde that could help if they picked an application like Mastodon and promoted it on their site. I only use social media about once a month so I am far from expert but an ad supported open source facebook clone that stayed non profit by sending its profits to other open source sites would be ideal.
I was just today looking to see who owns Flex and Air. There is Apache Flex but it does not look like it is widely used. And it looks like Air was sold to Harman an audio electronics subsidiary of Samsung.
It would be cool if there was a browser that had a full set of components that would allow fast construction of internal dashboards, CRUD apps, etc. via new html tags. if not that then maybe a custom browser with flex enabled for internal use only. The security and performance would have to be improved but seems like a really fast way to prototype and build internal only sites.
The late Dr. Gerald M. Edelman (Nobel Prize in Physiology or Medicine) had a fascinating theory he called "Neural Darwinism" that relied upon "reentrant mapping" he insisted was not feedback. He had a lab that formulated his ideas into software and a robot called Darwin 4. Does anyone here know what happened to that software? Is it described in detail anywhere? The following is an unflattering but useful discussion of Edelman's robot https://blogs.scientificamerican.com/cross-check/my-testy-en...
I have not heard of this one but there's a similar robotics implementation of a network based on the connectome (neural circuit wiring diagram) of C. Elegans brains(the only complete connectome we have so far). Its still in preliminary phase of doing cool stuff though but the idea is interesting.
"But I wonder if someday there will be a representation that is more easily interpretable like language but is able to capture high dimensional complex functions in a standard and concise way"
Perhaps we can train AI experts to show us what parameters they found most useful in contrast to what human experts used. That could be a start at filling in the human knowledge gaps.