jkeddo

I think that the first revolution to come from LLMs will be in education. Tutoring is a HUGE industry that creates massive achievement gaps between haves and have-nots. China went as far as banning tutoring because desperate parents would bankrupt themselves trying to give their kids a leg up. To be sure: GPT-3 makes mistakes. It struggles with leading questions, perfect/correct code, sparsely trained subject areas. But when it comes to trying to help give intuitions to a high school chemistry student, the stakes are low and the training data is good enough.

Imagine a world where every child alive had access to unlimited 24/7 pseudo tutoring offered by robots who were almost as smart/correct as actual tutors? How many millions students just "give up" every day because while they can find thousands of pages of facts/guides/lessons about a subject, there are zero results that are custom tailored to their exact gap in understanding? As a student,

-->Google can give you endless facts about a subject that you can ram your head against until a subject makes sense.

-->Chat-GPT can give you intuitions and explain the exact part that confused you with as much detail/complexity as you want!

You wouldn't even need to call it AI or a tutor (so students don't wrongly give 100% trust). It could be a peer. You could call it "My Study Group's Best Guess". How much further could students get in high school with a 24/7 tutor beside them?

~~"Hi study group, I don't understand how my teacher jumps between steps 3 and 4 for this proof in Geometry class. Can you explain it in simple terms?"

~~"Hi study group, why did my flask turn blue when I did xyz in chemistry class? Everyone else had theirs turn pink."

~~"Hi study group, I wrote "cosin - sin = co" on my math test but my teacher put a big x on my problem without telling me why."

~~"Hi study group, why is the x "number of cars" on this homework problem XYZ"

Millions of students give up trying to understand challenging subjects every day. LLMs can dramatically lower the difficulty of absorbing new ideas. In 10 years, LLMs can likely raise SAT/ACT scores 20-30% equivalent and help more students finish the key math/science prerequisites for STEM careers in high school instead of college, lowering the barrier of entry for everybody!

Why?

FSD stack is disabled on highways. You are using the years old code. Beta v11 when it comes out will enable OP's FSD referenced improvements for highways.

Is it really equality to perfectly equalize decision-making while completely slanting the resulting the burden-taking?

I realize how dangerous/potentially harmful a "taxpayer contribution === influence" is. But I think it doesn't have to be a binary. Perhaps a "three house" style system would be an improvement for representative democracy here:

One house for representatives of each state One house for representatives of vote by population One house for representatives of taxpayers by net tax burden carried

AFAIK Meta never claimed that this tool was perfect or infallible. Critics are ripping it apart for something its creators didn't say it would do.

Meta made a great tool, I hope they put it back up.

I recommend every single person I know to screen themselves for Sleep Apnea -- My doctor estimates 30% of the population has it and most people go their whole lives without ever knowing.

Personally, my CPAP has boosted by daily energy/wakefulness tremendously, I feel at least 40% more energy each morning when I get a perfect CPAP adherence overnight, and I only had a minor/moderate case. If you snore, you probably have it without knowing.

Please get checked and make your life much better!

I tried my best to fill in the blanks for this story, and my working understanding is this:

1) Client requests service. 2) Service is graphQL, which makes the "thousands of calls" Musk is referring to towards other backend APIs. 3) There was an incorrect international cache/CDN configuration which hurt response time of these APIs for some countries. 4) Musk claims its the API calls causing slow performance, engineers point out that its technically the cache.

Debate is about if using graphQL is even worth it if it needs such complex caching to work well

I think there are some guys from ARPAnet days here.

Damn this is very disappointing :/

I suspect malls will be more economically viable in developing countries than in the first world. Payroll at $15 an hour is a high bar to meet for outlet stores which already struggle with high rent.

I ordered great value sliced bread last month and they upgraded me to Natures Own brand bread which costs twice as much for free.

Me too!

I've been doing this with the Walmart+ delivery service for $100 a year. I even applied for their 5% cash back credit card. It saves me a good amount of time and money, and I am overall very happy with it.

If Walmart ever starts mixing 3rd party reseller crap with their "in-store" inventories, they will ruin a fantastic product and lose me as a customer.

This is the most insightful comment I've read in weeks and I've never thought of things this way before. This changes the way I look at people.

Men and women are just as emotional: The main difference is that men are shamed for being sad/crying, so our emotions end up manifesting as anger instead. Men get angry because they aren't allowed to cry.