In my world of Dreams and Hopes.
There was a day of pain.
There was a day of Struggle.
There was a day of low .
There was a day of nothing.
But
.
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.
.
.
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There was never a day without Dreaming..
Counting the hours and days ..
#OneDay#Random#Life
Some kind good hearted person..Whowver you are if you Own $SHIB $PEPE $PEIPEI . Please do burn 90% supply. I think that's the only gain can survive this crash......
It's starting.
The company with the cheapest coding model at a good enough quality is set to win big, as devs + companies become more price sensitive.
Of all the major players, Cursor is in a v good position with their Composer model. Plus eg Factory with smart routing
When they were in Transition of token consumption. I added Antigravity. it is looking good except only Google models have high limit. I am thinking, since Claude models are good in some aspects of coding. The limit of Claude limits very very low
Failed Project status.
Quick CGE update.
After the initial release, I started building a benchmark suite to validate the approach on real-world repositories (Express, NestJS, Flask).
One interesting finding:
The things I initially classified as "syntax noise" often turned out to be critical reasoning signals for LLMs.
For example, NestJS decorators like:
@UseGuards(AuthGuard, RolesGuard)
look like metadata from a compiler perspective.
But from an LLM's perspective, they're architecture.
This has led me to rethink the problem.
Maybe the goal isn't:
❌ Replace source code
Maybe the goal is:
✅ Augment source code with an AI-friendly architectural map
The original CGE work gave me something unexpected: a way to measure what information agents actually use when reasoning about repositories.
Currently exploring a Phase 2 focused on architecture extraction rather than pure compression.
Interesting reminder that validation often teaches more than implementation.
Sam Altman reveals that OpenAI’s top “token leader” uses 100B tokens every month, and still falls short of the world’s highest user.
Source: axios
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axios. com/2026/06/02/altman-openai-top-token-user
.@satyanadella just put the whole "water" debate to rest.
Datacenters run on a closed loop cooling system, the water usage of a datacenter for an entire year is roughly equivalent to a usage of 1 restaurant!