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The most popular blog posts about tech industry & business on Hacker News. 532 posts.
Or: How the AI Bubble, Panic, and Unpreparedness Stole ChristmasWritten by Tom of Moore’s Law Is DeadSpecial Assistance by KarbinCry & kari-no-sugataBased on this Video: https://youtu.be/BORRBce5TGwIntroduction — The Day the RAM Market SnappedAt the beginning of November, I ordered a 32GB DDR5 kit for pairing with a…
Historically, general approaches always win in AI. Founders in AI application space now repeat the mistakes of AI researchers.
The people who create software generally refer to themselves as software engineers, and yet if they graduate from university, it is typically with a degree in computer science. That has always felt a little strange to me, because science and engineering are two pretty different disciplines – yet ...
After building a software company to a multi-billion dollar exit, I made the jump to hardware. Now I’m working on carbon removal + steel at Charm Industrial , and electric long-haul trucking with Revoy . It’s epically fun to be building in the real world, but little did I expect that more than half the cost of…
A blog about making culture. Since 1999.
How tech companies make money and why it's important
For years, one of my businesses has been a regular user of Wise (formerly TransferWise). Wise is a financial service that lets you send and receive money across currencies, often at a better rate and lower fee than traditional banks. Sounds great, right?
Why Apple Just Killed the iPhone Interface (And What Comes Next)
Don’t let an LLM make decisions or implement business logic: they suck at that.
Thoughts on FOSS and fintech, layered by Mahmoud Hashemi
Plus how American professors are fighting back against the AI onslaught, a backlash over AI models in Vogue, and more.
I try not to write anything even vaguely political on this blog because we have a variety of views on a variety of subjects and no one is ...
Recalls at major automakers cost hundreds of millions of dollars a year. It’s a huge issue. To mitigate it, our company created an analytics department solely focused on categorizing warranty claims into actionable problems.
The initial, feverish enthusiasm for large language models (LLMs) is beginning to cool, and for good reason. It’s time to trade the out-of-control hype for a more pragmatic, even “boring,” approach. A recent MIT report shows that 95% of companies implementing this technology have yet to see a positive outcome. It’s…
How algorithm-driven influence quietly replaces genuine discourse with engineered popularity.
What does it mean to get things done? In the abstract, you can complete a mathematical proof or a problem set, but the real world is much fuzzier. Suppose I…
Apple’s Calculator leaked 32GB of RAM. The deeper failure is an industry shipping more software while producing fewer engineers capable of fixing it.
“There is a crack in everything. That’s how the light gets in.” — Leonard Cohen Let me tell you something that will happen after you become a manager: you’re going to mess u…
Due to a simple bug, Screen Studio app did generate over 2 petabytes of network traffic
I have noticed something in the past 12 months, something a little profound. I have noticed that I am no longer scared that a project will be too big or too complex for me, or that a project will use a technology or programming language I don’t know.
Last week the Department of War finally killed the last vestiges of Robert McNamara’s 1962 Planning, Programming, and Budgeting System (PPBS). The DoW has pivoted from optimizing cost and performa…
A new release botched … and a breaking research new paper that spells trouble
tl;dr: it depends. About one year ago, I bought an Intel N100 mini PC (specifically the GMKtec N100 NucBox G3) and compared it to the Raspberry Pi 5 8GB. A year later, and we have a newer $159 16GB version of that mini PC with a slightly-faster Intel N150, and a new 16GB Raspberry Pi 5. I re-ran all my benchmarks, and…
Highlights the desire to replace tokenization with a general method that better leverages compute and data. We'll see tokenization's fragility and review the Byte Latent Transformer arch.
The hunt for the next Microsoft created an era of excess that wasn't sustainable
I’ve spent the last 48 hours completely falling down the rabbit hole of NVIDIA’s Q3 Fiscal 2026 earnings report . If you just skim the headlines, everything looks perfect: Revenue is up 62% to $57 billion, and Jensen Huang is talking about a "virtuous cycle of AI."
Max Mitchell's personal portfolio website showcasing his photography, YouTube videos, coding projects, and work history.
