alexawarrior4

If you sample only from the 10,000 or so current Olympic athletes, you will draw similarly incorrect conclusions about the 8 billion planetary general population's athletic ability.

One of the few areas of reliable statistics about US software developer pay come from the US Government Bureau of Labor Statistics. The median wage as of May 2023:

$132,270

This means half of all full time employed devs are higher, and half are lower. The mean is more skewed by higher earners but is similar:

$138,110

It also varies quite widely by geographic location, from a mean high of $173,780 in California to only $125,890 in Texas, from $199,800 in San Jose to $132,500 in Austin to $98,960 in rural Kansas (where I have actually developed software before!)

The short of it is, the vast majority of software developers do not make the top salaries. Even L6 is rare within the top tier of tech. There is a lot of delusion in this field around pay, so it's important to be well informed. As a field we are still very well paid compared to most other jobs especially considering our safe working conditions and lack of needed credentials and education. Compared to most of the work on this planet, it's still a goldmine.

Source: https://www.bls.gov/oes/current/oes151252.htm

Tried "Sailflow Galveston Bay", which for google search returns the Galveston Bay / Kemah wind/weather report for sailing in the area. For GPT Search, returned the Galveston Buoy as the first result, which is WRONG, as it is 10+nm off the coast of Galveston with often VERY different weather than Galveston Bay. The second GPT search result was just the Sailflow home page.

So in this case at least, GPT Search is far inferior and dangerously incorrect were someone to rely on these search results for weather information.

So Ballmer-era Microsoft was the inspiration for Amazon's current culture, I see.

As Kaylee would say, 帅!

Why is no one making higher dpi ebook readers? I've been waiting decades now for an ebook that would actually have the resolution of printed 600 dpi pages. The chunky text simply makes ebooks for me uncomfortable and unpalatable for long reads.

I had the same problem, the solution is to start with extremely easy content, either from a language learning site/channel or content targeted at toddlers. Even 2 year olds already have quite advanced language skills! Peppa Pig is a perennial favorite. You build up from there with childrens' shows, cartoons, and at some point later on introduce graded readers. Watching full-speed native TV shows is like the final exam after 1500+ hours of study, and even then may have a lot not understood if you aren't familiar with the slang/dialect. This is especially true for heavily dialectical languages such as Chinese where it's common to always watch with subtitles on.

"The power of SRS (spaced repetition system) cannot be overstated"

For an alternative take, there is at least some evidence that SRS is entirely unnecessary and can even hinder language learning. I know it at least is not required by first language speakers, and have also seen many examples of fluent second and third language speakers who never use SRS, or any other kind of "practiced" language acquisition such as learning vocabulary, grammar, etc.

https://en.wikipedia.org/wiki/Input_hypothesis

For instance here's a PhD thesis of someone who learned French to fluency with only watching TV and (later) reading books:

https://espace.library.uq.edu.au/view/UQ:9b49365

It is important to note, no matching audio dialog, or even an attempt at something like dialog. This seems to be way beyond current full video generation models.

This would be WONDERFUL with a Spanish-native accent as a language tutor, but as you've already got English you should try marketing this to the English-learning world. There is a huge dearth of native English speaker interaction in worldwide language instruction, and it's typically only available to the most privileged of students. Your system could democratize this so anyone with an affordable fee (say $10-20/month, subsidized for the poorest) could practice speaking and have their own personal tutor. The State Department and Defense Language Institute might love this as well as, if trained on languages like Iraqi Arabic and Korean would allow live-exercise training prior to deployment.

It can also function as an instructional tutor in a way that feels natural and interactive, as opposed to the clunkiness of ChatGPT. For instance, I asked it (in Spanish) to guide me through programming a REST API, and what frameworks I would use for that, and it was giving coherent and useful responses. Really the "secret sauce" that OpenAI needs to actually become integrated into everyday life.

Hassaan isn't working but Carter works great. I even asked it to converse in Espanol, which it does (with a horrible accent) but fluently. Great work on the future of LLM interaction.