EcommerceFlow

Gemini 3 had a great 24 hour SOTA run for coding

The VAST majority of this growth will continue to be in healthcare and/or social security (mostly healthcare though).

Until our healthcare markets become more free market, this growth in spending will accelerate as boomers age.

The question to ask is why supply of energy hasn't kept up with demand. Regulations (primarily in Democratic states) is most likely the answer. When you use government incentives to pick winners and losers with energy sources, it throws the entire energy market out of sync.

Here's a link to the full interview Bezos had yesterday

https://www.youtube.com/watch?v=E0x3UZDKSNo

Outputting code mostly, especially compared to Gemini and Grok Fast. I'm using normal thinking mode, not extended or PRO.

- ChatGPT still lags for me daily and I'm on a PRO subscription. - SORA is usable but extremely slow and constrained. - Image gen same thing, but getting a bit quicker and less constrained.

This is with agents not having taken off yet, and the vast portion of the world economy not interacting with LLM Ai? Agents alone will require ungodly amounts of compute.

Bullish

Super cool and useful, thank you. Was just doing some database mapping so this is perfect!

Cool article. The real solution to this is have huge arrays in the desert and move the energy north, which is 100% possible.

I mean what's the worst case scenario here, EA starts making even worse games? Maybe going private will give them the freedom to get more creative.

Damn I'd love to play a Zelda game with that level of NPC detail and style.

This has been the case for a while. Attempting to code API connections via Vibe-Coding will leave you pulling your hair out if you don't take the time to scrape all relevant documentation and include said documentation in the prompt. This is the case whether it's major APIs like Shopify, or more niche ones like warehousing software (Cin7 or something similar).

The context pipeline is a major problem in other fields as well, not just programming. In healthcare, the next billion-dollar startup will likely be the one that cracks the personal health pipeline, enabling people to chat with GPT-6 PRO while seamlessly bringing their entire lifetime of health context into every conversation.

If true, why aren't we mass scaling it all over the American West? We have railways running from West -> East, why not include power lines that can take power from energy farms in the West -> East? No major project in AZ, TX, or CA to give a city free power? etc

If Solar can't compete with natural gas economically, and subsidizing solar ends up de-incentivizing natural gas production by artificially lowering energy prices, what's the solution here?

You can't be surprised when industries that are shackled to the government through payment and/or regulations end up inefficient.

Saddens me to think about, but imagine if American healthcare and innovation was nearly as "free market" as smart phones, LLMs, etc.

I think the article understates the demand a robot would have for even just simple household tasks like folding laundry.

Microsoft does not care. They are worth 11x more than when W10 was launched, and have "more important" things to focus on. They are the true tech monopoly.

It's the same story with Xbox. Microsoft is simply too big to have the passion for their gaming division (which is what entertainment needs).

I made a strategic choice to focus on ‘vibe coding’ rather than using platforms like n8n, aiming to pick up something new with each project I build. From familiarity with terminal, github, heroku + postgres, etc.

I'm still vibe coding in terms of syntax and logic, but I do understand my codebase, and have made some excellent automations at work.

Unless this accounts for the change in population demographics, it's a pointless study, or are we still pretending that doesn't exist at a macro level?

The main problem is that Ai "intelligence" has vastly outpaced the associated tooling.

Imagine as context windows increase the average query goes from 5-20 sources to 200+ sources.

Maybe OpenAi gets into the internet indexing game to speed up their search even more.

A lifetime of using Google and 4 years of using LLMs.

I wouldn't be surprised if their profit/query is at a negative for all major Ai companies, but guess what?

They have a service which understands a users question/needs 100x better than a traditional Google search does.

Once they tap into that for PPC/paid ads, their profit/query should jump into the green. In fact, there's a decent chance a lot of these models will go 100% free once that PPC pipeline is implemented and shown to be profitable.

The coolest part about this IMO is they used the same model we all have access to (GPT5-Pro), and not some secret invite only model.

IMDB is my go-to, especially since users grade on "harsher" terms and anything >8 is considered amazing.

The biggest issue I've had with vibe coding, by far, is the lack-of and/or outdated documentation for specific APIs.

I now spend time gathering as much documentation as possible and inserting it within the prompt as a <documentation> tag, or as a cursor rule.

How so? You capture the market first, then you turn on paid ads and reap benefits for decades like Google.

OpenAi has 700+ million users. Sam recently said only 7% of Plus users were using thinking (o3)!!! That means 93% of their users were using nothing but 4o!

Clearly the OpenAi leadership saw these stats and understood the main initial goal of GPT5 is to introduce this auto-router, and not go all in on intelligence for the 3-7% who care to use it.

This is a genius move IMO, and will get tons of users to flood to ChatGPT over competitors. Grok, Gemini, etc are now fighting over scraps of the top 1% while OpenAi is going after the blue ocean of users.

1) Sam said only 7% of PLUS users were using thinking models. This auto-router is probably one of the biggest innovations for "normie use" ever.

2) Maybe I'm biased because I'm using GPT5-Pro for my coding, but so far it's been quite good. Normal thinking mode isn't substantially better than o3 IMO, but that's a limitation of data/search.

I created a script that outputs the entire codebase to a text file (also allows me to exclude files/folders/node_modules), separating and labeling each file in the program folder.

I then structure my prompts around like so:

<project_code> ``` ``` </project_code>

<heroku_errors> " " </heroku_errors>

<task> " " </task>

I've been using this with Google Ai studio and it's worked phenomenally. 1 million tokens is A LOT of code, so I'd imagine this would work for lots n lots of project type programs.

It does if you're working with bigger codebases. I've found copy/pasting my entire codebase + adding a <task> works significantly better than cursor.