canada_dry

Mine was simply an exercise to see what gpt's vision would come up with vs. the expert analysis.

Asked gpt to see if it could discern Egyptian hieroglyphs from the image of the tomb wall...

https://i.postimg.cc/Pdw7sw-0W/image.png

The "possible standing figure" on the right seems plausible. Be interested in seeing what the actual painstaking restoration eventually reveals.

I gave up on Grok.

It constantly ignores explicit instructions (e.g. do NOT remove existing comments) and it's not nearly as intuitive in knowing the right questions to ask as gpt, claude or gemini in my experience from using all of them.

The reason I'm getting LLM burnout is from dealing with the obvious neutering and opaque downgrading of all the top models.

Prior to the last 12mos AI companies were hell bent on squeezing out the best results from mediocre models.

But... now that the top models have progressed, those same AI companies have switched their efforts into reducing the computation (cost of a producing a result) as much as possible without being too obvious.

What was an exponential slope in the quality of results over the last 36 months has now nearly flat lined.

Addendum: IMHO results have 'flat lined' not because the models aren't much more capable than a year ago, but because conserving the enormous processing cost (of an over subscribed user base) supersedes the goal of following the user's explicit instructions (e.g. especially if that means more processing cost) to generate the best results.

Considering the (apparent) heaps of money and brains thrown at GROK I'd argue MISTRAL is relatively futher ahead.

Every time I go back to trying GROK it is an abysmal disappointment.

I re-subscribed to GPT's "PLUS" plan after ditching Anthropic for lack luster results... one of the first coding tasks I gave it resulted in a progress/thinking message that said something to the effect of (it vanished too quickly to get a screen shot unfortunately):

                   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.

Bitcoin doesn't really have any coherent reasoning behind it

Stocks are feeling more and more like this also.

Looking at the comments for that product I suspect it'll find a home in your junk drawer rather quickly.

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.

FreeBSD uses ZFS.

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!

just becomes a glorified marketer

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

I wonder if anyone remembers the long running computer club that met at the Forest Hill Collegiate on Eglinton Ave in Toronto?

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.

Orwell never even envisioned this form of state surveillance!

This may be a more accurate analogy... "The Porsche you rented at $200/mo now only allows you a maximum of 100km of travel. You will be automatically charged extra when you go over that."

Without a mockup of what all the customizable parts will look like... it's hard to commit to a build.

An aside: https://www.buchodi.com/chatgpt-wont-let-you-type-until-clou...

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. %@$#%

I hit my limit on the project I've been working on (after I let "MAX" run out and moved to "PRO") after about only 2 hours!

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.

@theredsix and you should collaborate.

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).

Nicely done.

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.

This is what I've been doing for a couple years now: having AI help to code/test projects that I've had in my long TODO list but would never realistically started/completed. AI is now pretty capable of producing decent code if your specifications are decent.

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.

The outlier where name recognition on the ballot is not an advantage?

In pretty much all cases, the companies in question had peaked were experiencing declining growth and attempting to do a hail-Mary... and failed miserably.

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

He's a handsome boy.

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.

To protect my privacy, I have a photoshopped drivers license with a photo of my dog that I've successfully used for verification (e.g. AirBnB) in the past.

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

An interesting approach to the worsening signal-to-noise ratio OSS projects are experiencing.

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.

TL;DR no pricing. no launch date

AI-only interviews

Lord. I can see this quickly extending even further into HR e.g. performance reviews: employee must 'speak' to an HR avatar about their performance in the last quarter. the AI will then summarize the discussion for the manager and give them coaching tips.

It sounds valuable and efficient but the slippery slope is all but certain.

Assuming that Ukraine cyber attacks (novel/0-day) on the Russian energy grid must be happening, I don't often hear of this happening there.

Why not?? Is Russia's grid infrastructure so old as to not be as vulnerable?

Absolutely gorgeous and extremely smart creatures. They generally bond with one care giver and when that person dies it really is a traumatic event for the bird.

Birds that are traumatized pick out their feathers and look terrible. You can tell from the videos of their birds that they are well looked after.

This organization (and those like it) are fantastic!

This is certainly the future!

Where the internet gave advertisers data on your surfing habits, smart devices + AI will give them every intimate detail of your life: calendar events, email, shopping, friends/family, health data, car travel... all combined into one holistic package up for sale.

Not really via Alexa though, it sucks.

A journey of 35 kilometers, or, in DB units, somewhere between forty-five minutes and the heat death of the universe.

A bit like "no frills" airlines in the west.