Will expensive RAM change how we code?

'That's not going to last': Jeff Bezos believes AI will force you to rent your PC from the cloud, and the RAM crisis is accelerating it

Your next PC upgrade might be a subscription

Pirat_Nation 🔴 on Twitter / X

One of the big three RAM manufacturers, Micron, has announced they are exiting the consumer market completely. pic.twitter.com/hgZcNIm9Nk— Pirat_Nation 🔴 (@Pirat_Nation) December 3, 2025

Ubiquity: The Fallacy of Premature Optimization

Moore's Law makes it seem as if resource limitations are always a minor consideration. If there will be twice as much memory for the same price in 18 months, why bother to squeeze a factor of 2 from an application's memory requirements? If the CPU will be twice as fast by then, why bother to shave some running time from a program? In other words, why bother to optimize programs? Isn't it better to just get them running and let Moore's Law take us off the hook when resources are constrained? Randall Hyde argues that optimization is important even when memory and processor double regularly.

Hold on to Your Hardware

A warning about rising prices, vanishing consumer choice, and a future where owning a computer may matter more than ever as hardware, power, and control drift toward data centers and away from people.

The AI boom is making the world’s cheapest smartphones disappear

AI data centers are driving demand for memory chips, pushing phone makers to raise prices and abandon some of their most affordable models.

There's no reason for software to be slow anymore

The other day, I saw a viral tweet saying that people talking about how LLMs are causing slow, bloated, code are going to eat crow once they re-write everything in super-optimized assembly. We're not quite at the point where we want to write everything in assembly, but some variant of what Nolan Lawson said about testing, you can choose how many bugs you want now, which I less eloquently noted here, is becoming more true for performance.

0xSero on Twitter / X

I told y’all this is the move. Heterogenous hardware is the way forward. Large cheap pools of mixed memory + specialized accelerators (Nvidia GPUs, DGX Spark, Cerebras wafers) The next year will be dominated by solutions that split the stack. - 3000$ for a used Mac Studio… https://t.co/zMlScSnJ0X— 0xSero (@0xSero) April 1, 2026

The chips are down for Moore’s law

The semiconductor industry will soon abandon its pursuit of Moore's law. Now things could get a lot more interesting.

Why compute might get 10x more expensive in coming years

If a human-level software engineer that could run on an H100 equivalent, at current market rates for software engineers, that H100 should rent for over $250k a year. That’s 15x today’s spot price.

The Economics of Using AI to Churn Out Code Are Looking Worse Than Ever

Anthropic updated an estimate for how much developers will spend on its AI coding tool, signaling that the tech is only going to get costlier.

Copilot memory early access for Pro and Pro+ - GitHub Changelog

Copilot memory is now available in public preview for GitHub Copilot Pro and Pro+ users, with support in Copilot coding agent and Copilot code review. Copilot memory Copilot memory enables…

Francois Chaubard on Twitter / X

I believe that LSTM based architectures (constant hidden state, constant flops / step) will crush transformers as we know them in 2-3 years. we will laugh about KV Caches and how dumb we were.. to achieve this, the LSTM will need to have a large external memory bank with…— Francois Chaubard (@FrancoisChauba1) July 30, 2026