A problem well stated is a problem half-solved.
Charles Kettering
Charles Franklin Kettering (August 29, 1876 – November 25, 1958) sometimes known as Charles Fredrick Kettering[1] was an American inventor, engineer, businessman, and the holder of 186 patents.[2] He was a founder of Delco, and was head of research at General Motors from 1920 to 1947. Among his most widely used automotive developments were the electrical starting motor[3] and leaded gasoline.[4] In association with the DuPont Chemical Company, he was also responsible for the invention of Freon refrigerant for refrigeration and air conditioning systems. At DuPont he also was responsible for the development of Duco lacquers and enamels, the first practical colored paints for mass-produced automobiles. While working with the Dayton-Wright Company he developed the “Bug” aerial torpedo, considered the world’s first aerial missile.[5] He led the advancement of practical, lightweight two-stroke diesel engines, revolutionizing the locomotive and heavy equipment industries. In 1927, he founded the Kettering Foundation, a non-partisan research foundation, and was featured on the cover of Time magazine in January 1933.
It’s called HAI “Human Artificial Intelligence”
Rubber Duck debugging.
And all we needed was the electricity of a good sized industrial nation state.
She didn’t actually submit it though, so it shouldn’t have needed to process it and use up that electricity.
Ha, I never knew this had an actual name.
I thought it was known as talking to a brick wall, ie. if you have a issue talk to a brick wall and you’ll get the answer
It’s got more than a name, too: it’s got a Wikipedia page! Part of my job is IT support for normies, and I love sharing that with clients (because of course they’ve not heard of it). Usually gets a laugh, and I like to think they adopt the term and “rubber duck” things in their daily life thereafter.
Am I the only one that sees all of these AI platforms as just the next iteration of search engines?
LLMs have been foundational to search engines going back to the 90s. Sam Altman is simply doing a clever job of marketing them as something new and magical
You’re thinking of Machine Learning and neural networks. The first “L” in LLM stands for “Large”; what’s new about these particular neural networks is the scale at which they operate. It’s like saying a modern APU from 2024 is equivalent to a Celeron from the early 90s; technically they’re in the same class, but one is much more complicated and powerful than the other.
what’s new about these particular neural networks is the scale at which they operate.
Sure. They’re larger language models. Although, they also (ostensibly) have better parsing and graphing algorithms around them.
It’s the marriage of sophistication and scale that makes these things valuable. But it’s like talking about skyscrapers. Whether it’s the Effiel Tower, the WTC, or the Birch Kalif, we’re still talking about concrete and steel.
It’s like saying a modern APU from 2024 is equivalent to a Celeron from the early 90s; technically they’re in the same class, but one is much more complicated and powerful than the other.
I’d more compare it to a Cray from the 90s than a budget chipset like Celeron.
But imagine someone insisting we didn’t have Supercomputers until 2020 because that’s when TMSC started cranking out 5nm chips in earnest.
You’re late lol. Phone assistants such as Siri, Bixby, Google Assistant etc. have already been AI search engines for years. People just didn’t really consider it until it got more advanced but it’s always been there.
Nah, I don’t feel like Bixby etc. fit that description. You couldn’t ask them how to fix certain problems or find websites relating to a topic the way you can LLMs. However, that would be a major use of search engines. For example, you would search “how to submit a tax report”, " how to install printer xy driver", or “videogame xy item”. All this bixby etc. are useless for.
Bixby etc. was more meant as a iteration of how to interact with phones in addition to touching.
Back in the days of usenet if I had a Linux problem I would carefully research the issue while composing a post asking how to solve it. I needed to make sure I covered every possible option so that people would know just how odd the problem was and that I had taken every reasonable step to fix it. And this was how I hardly ever had to post anything because this process almost always found the answer.
That happened to me a lot when I was thinking about asking for help on reddit and usually if I got to the point that I still have to ask it’s hopeless anyway. Pretty sure I only got actual help that solved a problem one time over the years.
I had a winmodem issue on a laptop that Acer forgot they made that dogged made for 2 years. No answer available. And then one day the answer just popped up. I had to go back and find my original posts and edit them to include the solution.
Good on you for going back to update your posts with the solution you found. The internet needs more of that.
