Evaluating client value  
  

Behind the scenes it is not hard to imagine OpenAI, Anthropic, et al simply minimizing processing for clients - like me - that are hopping from one to another to chase the just released SOTA model.

Stocks are feeling more and more like this also.

I've ordered gizmos from Lilygo in the past and found their support/documentation/updates to be very poor. Once a product is out the door they seem to do little further with it.

Churning out new products seems to be their forte.

I've been using ZFS for about a decade on several systems and can't say enough good things about it: rock solid, feature rich and easy to use are the top benefits.

It really needs more love!

That implies Karpathy is either dumb or desperate and he is neither of those by a long shot.

And there was another one in the basement of the old Toronto School Board building (where the new TDSB building now stands) beside Mel Lastman Sq. in Willowdale.

It seems that anthropic has added something similar to their browser UI because just in the last few days chat has become almost unusable in firefox. %@$#%

TIP (YMMV): I've found that moving the current code base into a new 'project' after a dozen or so turns helps as I suspect the regurgitation of the old conversations chews up tokens.

Your tool's method of returning element references is clever and should greatly improve llm handling of the page components (and greatly reduce token cost).

It inspires me to tackle a project I've been holding off on for many years: OCR my grandmother/great-grandmother's cookbook. It's about 100 pages of collected and annotated recipes from the 1930-1980s.

OCR and AI have become sufficiently capable (as you've demonstrated) to properly scan, index, and classify the recipes into something I can share with relatives online or as an ebook.

I still think that non-programmers are going to have a tough time with vibe coding. Nuances and nomenclature in the language you are targeting and programming design principles in general help in actually getting AI to build something useful.

A simple example is knowing to tell AI that a window should be 'modal' or that null values should default to xyz.

Compare Digg and slash. One completely died, the other has stuck with its formula and hasn't disappeared, but has just faded into irrelevance.

Guessing they probably just ran some rudimentary OCR on the image to compare the name and DOB. I modified the actual license# as well as the picture.

Though, with AI being used I suspect it wouldn't pass any longer.

However, it's not hard to envision a future where the exact opposite will be occur: a few key AI tools/models will become specialized and better at coding/testing in various platforms than humans and they will ignore or de-prioritize our input.