From a sobering prediction on a possible future evolution path of super intelligence from the current state of AI titled “AI 2027”:

What do you think - is this speedup likely?

Personally I am doubtful we will be able to achieve this level of speedup so quickly, but then again the article does call out most industry professionals have consistently underestimated (and continue to do so) the speed at which AI technology is evolving.

It certainly will have a dramatic impact on the software industry – it already is with the current crop of agents like Github Copilot, Claude Code and their brethren.

I absolutely love the Vestaboard split flap display.

I only wish it wasn’t so damn expensive.

https://vestaboard.com

Recent discussion around costs of LLM tokens and whether it stifles experimentation in the context of “vibe coding”.

IMHO I think all token costs trend to zero and the answer is NO.

You might end up with “slow tokens” and “fast tokens” where the slow tokens are truly zero (like internet usage at night time being unmetered in many parts of the world) and fast tokens cost a tiny amount of money. But in the long term I think they both trend to the cost of electricity or even lower (because caching kicks in and the tokens are free)

I was talking with my classmate Amit Bhor a few days ago about the limitations of inference on the edge, especially around memory requirements of the new MOE models (Deepseek-R1 etc). At the same time, edge inference is pretty desirable for things like privacy, disconnected scenarios, cost etc.

Well, Minions attempts to tackle some of these challenges by adding a way for cloud models to cooperate with local models. The local models handle the interaction with data on your device, whereas the cloud models perform some of the heavy lifting/reasoning.

The claimed gains are impressive:

Pretty cool! Techniques like this would make a lot of sense for on-device assistants like Siri or a future smart-home-controller AI.

This is the blog of Aakash Kambuj. I am determined to post regularly, and this is my first post.

I found https://tld-list.com/ helpful when building this site. It maintains a live list of each gTLD and what registrar is cheapest for initial registration and renewal. That is how I discovered Porkbun.