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David Smooke
Smooke
AI & ML interests
data, software, news, currency, cryptocurrency, software development, llms, internet usage, software market shares, startup investment data, startup location data, hackernoon
Recent Activity
posted an update about 17 hours ago
For forty years, the secret language that lets software talk to hardware was owned by a handful of companies. Then a free alternative escaped the lab and turned chip design into a matter of statecraft.
There is a sentence that security researchers, hardware startups, and the governments of at least three continents have all, in their own way, come to believe: you can put a company on a blacklist, but you cannot put a language on one.
That single insight is quietly rewiring the most concentrated industry on Earth. For more than four decades, the foundational vocabulary of computing — the instruction set architecture, or ISA, that determines how a piece of software actually speaks to the silicon beneath it — has been guarded like a crown jewel. In PCs, laptops, and servers, the proprietary x86 architecture built by Intel and AMD has reigned almost unchallenged. In phones and embedded gadgets, the British-born ARM architecture has been nearly as dominant. If you wanted to design your own processor, you paid millions in licensing fees, signed thick stacks of non-disclosure agreements, and accepted black-box silicon you could neither fully audit for hidden flaws nor bend to an unusual purpose.
That world is ending. Driven by the spread of open standards, the maturing of free chip-design software, and a global anxiety about who controls the supply chain, open-source silicon has vaulted from an academic daydream into a commercial reality. Processors designed collaboratively, in the open, are now booting Linux, shipping inside consumer laptops, rendering 3D graphics, and locking down the firmware in enterprise data centers.
This is the story of how that happened — and of why a royalty-free dictionary for talking to a chip became one of the most contested objects in twenty-first-century geopolitics.
Read Full: "The Open Chip Revolution Has Reached the Real World" https://hackernoon.com/the-open-chip-revolution-has-reached-the-real-world
posted an update 3 days ago
Vibe Coding Ends at Localhost https://hackernoon.com/vibe-coding-ends-at-localhost
Your AI agent can build the app. It has no idea how to ship it – and here's the structural reason why
I'm not a developer. I've spent twelve years as a CMO in tech, walking into software companies to figure out positioning, growth, and what the product should actually be. I'm not an engineer, but I love technology and I've always tried to live at the front edge of it — early on every tool, first to try the thing everyone's talking about a year later. I understand software from three angles: design, business, and customer. The fourth angle, the code, was always someone else's job.
For years I wanted to automate my own work. Build the little internal tools I kept describing to engineers who were too busy to build them. AI fixed half of that problem overnight. I could describe what I wanted in plain English and Claude would hand me a working application — real logic, a real interface, the whole thing running on my laptop.
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Vibe Coding Starts at Localhost https://hackernoon.com/vibe-coding-starts-at-localhost
I am a developer, a start-up founder, and a writer. I have been around this space since 2000, since the good old days of the web. Having returned from a 1-year journey of vibe coding, I leave this memo to coders and builders.
I’ll never forget that day, when we iterated together, again and again. On the side of the vibe, it wasn’t about not having challenges. It is just that things went through, in a flow. That day, when the battle was won, I felt voilá.
But before I could return to base, something changed inside me. All of a sudden, I turned to my droid and declared, "Hey, I just did all the work here!"
If you have been piloting with them, you know what happened next, that warm "Congratulations!" followed by "What can I do for you next?" Aren’t you listening buddy? So I turned back to human peers, broadcasting that I did all the work.... posted an update about 2 months ago
Before https://huggingface.co/chatgpt launched, ~5% of new web articles were AI-generated. By November 2024 that crossed 50%. By April 2025, 74% of new web pages contained AI-generated content.
What AI industrializes isn't bad content — it's plausible mediocrity. Grammatically correct, structurally coherent, superficially persuasive, and almost indistinguishable from average.
Researchers have already warned that AI-generated survey papers are flooding https://huggingface.co/arxiv-community — what was once a labor-intensive exercise in critical synthesis has become a low-barrier, high-volume output burying original work.
I wrote about why internet communities struggle to publish quality over quantity and what that means for every platform that doesn't actively resist it: https://hackernoon.com/why-internet-communities-struggle-to-publish-quality-over-quantityOrganizations
