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Smooke 
posted an update 6 days ago
Smooke 
posted an update 12 days ago
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100
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
Smooke 
posted an update 14 days ago
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103
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.

__________________________

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....
Smooke 
posted an update 2 months ago
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153
Before
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
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-quantity
Smooke 
posted an update 6 months ago
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1182
New
HackerNoon Post: The Words of Interest Benchmark Test For Matching an LLM to Your Interests https://hackernoon.com/the-words-of-interest-benchmark-test-for-matching-an-llm-to-your-interests

By picking individual words instead phrases or paraphrases or passages, this test bypasses plot summaries (which are everywhere regurgitating themselves online) and focuses on the author's words. It reveals whether an AI has truly "absorbed" the specific texture of a book or is simply echoing the general internet consensus.
Smooke 
posted an update 9 months ago
Smooke 
posted an update 10 months ago
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317
"How AI Reasoning Mirrors Borges' Library of Babel"
https://hackernoon.com/how-ai-reasoning-mirrors-borges-library-of-babel

Many people have the intuition that an LLM doesn't really understand what it's saying. It doesn't really reason, it has no intent to convey anything, and it lacks an innate distinction between truth and falsehood.

The intuition is sound, but not so easy to substantiate. If you have a bit of technical savvy, you can point out that an LLM is just a fancy autocomplete, or a "token predictor". This consolidates the intuition a little - predicting tokens (i.e. word fragments, short words, symbols…) does seem like a far cry from deliberation - but it remains an intuition, which can be reasonably questioned: could you finish this sentence if you didn't build up an understanding of what the paragraph is getting at?

Now, those with more charity towards our talking machines will argue that LLMs are still poorly understood "black boxes", and accuse the skeptics of reductionism: isn't Nature full of "mundane" mechanisms that give rise to emergent phenomena, with qualities that differ from their basic causes? Maybe the complex mathematical machinery behind token prediction somehow produces genuine understanding?

Eh, probably not.

The key thing to understand about the token predictor perspective is that it isn't actually reductionist - at least not in the way of calling the brain "just a clump of neurons".

It's a decent characterization of the high-level, functional definition of the model. Yes, the model itself is a huge ensemble of small parts, but they all work together to satisfy exactly one demand: given N previous tokens, predict the next one. The ability to complete this task is the emergent property you'd expect to be downstream from numerical data flowing through the model's layers.

But couldn't something extra still emerge out of repeated token prediction?

... https://hackernoon.com/how-ai-reasoning-mirrors-borges-library-of-babel
Smooke 
posted an update about 1 year ago
Smooke 
posted an update about 1 year ago
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277
The AI Search Marketshare Race: OpenAI Accounts for 66.5% of 2.5M+ Monthly Citations to HackerNoon: https://hackernoon.com/the-ai-search-marketshare-race-openai-accounts-for-665percent-of-25m-monthly-citations-to-hackernoon

OpenAI (66.5%) accounts for the majority of AI search calls to HackerNoon, based on my analysis of end-user–initiated requests from AI assistant and AI search to HackerNoon blogs from April 22 to May 22, 2025. AmazonBot (Anthropic) followed with 25.5%, and Perplexity trailed at 8%. The total volume of end user AI requests jumped to 2,563,800 in 30 days, which is 34% more requests for HackerNoon blogs than my April report on the AI search marketshare — underscoring a growing dependence on AI-driven discovery.

Continue Reading: https://hackernoon.com/the-ai-search-marketshare-race-openai-accounts-for-665percent-of-25m-monthly-citations-to-hackernoon
Smooke 
posted an update over 1 year ago
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1784
AI Search Traffic Marketshare for Calling HackerNoon Blogs: 52% OpenAI, 30% Amazon & 18% Perplexity: https://hackernoon.com/ai-search-traffic-marketshare-for-calling-hackernoon-blogs-52percent-openai-30percent-amazon-and-18percent-perplexity

OpenAI (51.8%) leads AI search traffic market share, based on my analysis of end-user–initiated AI Assistant and AI Search requests to HackerNoon. While Amazon (30.4%) and Perplexity (17.9%) also secured significant portions of the market, the total volume of requests (1,915,670 in 30 days) and competition among AI search providers indicate increasing reliance on AI for information retrieval and presentation.

This analysis aggregates AI Assistant and AI Search queries to approximate end-user–initiated AI search traffic across HackerNoon URLs. Non-human traffic such as web crawlers, bots, and automated scripts have been filtered out to ensure data reflects only human-initiated requests. The dataset reviewed comprises instances where AI systems recommended HackerNoon content in response to human queries. Between February 28 and March 28, 2025, HackerNoon received 1,915,670 AI-referred search requests. OpenAI accounted for 991,580 requests, Amazon accounted for 581,990 requests , and Perplexity accounted for 342,100 requests, according to Cloudflare AI Audit tool, which currently tracks these top providers. HackerNoon is a technical audience, so our data is better positioned to answer questions like, if you work in tech what AI search engine do you rely on?

Continue Reading... https://hackernoon.com/ai-search-traffic-marketshare-for-calling-hackernoon-blogs-52percent-openai-30percent-amazon-and-18percent-perplexity
Smooke 
posted an update over 1 year ago
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1204
Meet the Bot That Reads All the Bad News Headlines So You Don’t Have To https://hackernoon.com/meet-the-bot-that-reads-all-the-bad-news-headlines-so-you-dont-have-to

And More Top https://hackernoon.com/ blogs today! https://hackernoon.com/p/publish

The Truth About Senior Engineering at FAANG—It’s Not What You Expect https://hackernoon.com/the-truth-about-senior-engineering-at-faangits-not-what-you-expect

Ex-ICE Agent Urges Congress to Double Down on Immigration Surveillance Tech https://hackernoon.com/ex-ice-agent-urges-congress-to-double-down-on-immigration-surveillance-tech

Too Many AIs With Too Many Terrible Names: How to Choose Your AI Model https://hackernoon.com/too-many-ais-with-too-many-terrible-names-how-to-choose-your-ai-model

Nobody Wants to Pay for Apps Anymore—Except When AI Is Involved https://hackernoon.com/nobody-wants-to-pay-for-apps-anymoreexcept-when-ai-is-involved

Nvidia GTC 2025: AI Goes Big, Robots Get Smarter, and GPUs Rule the World https://hackernoon.com/nvidia-gtc-2025-ai-goes-big-robots-get-smarter-and-gpus-rule-the-world

C++ Metaprogramming: Compilation of Calculations, from Basic Techniques to Advanced Methods https://hackernoon.com/c-metaprogramming-compilation-of-calculations-from-basic-techniques-to-advanced-methods

Has Google Made a $32 Billion Cloud Security Blunder? https://hackernoon.com/has-google-made-a-$32-billion-cloud-security-blunder

Ripple in Time: Is XRP About to Go Parabolic in 2025? https://hackernoon.com/ripple-in-time-is-xrp-about-to-go-parabolic-in-2025

Your Next Tech Job? Vibe Coding https://hackernoon.com/your-next-tech-job-vibe-coding

Ethereum Block Building: The Hidden Economy Behind Every Transaction https://hackernoon.com/ethereum-block-building-the-hidden-economy-behind-every-transaction

Building a Robust JS/TS Monorepo: Best Practices with Yarn, NX and Changesets https://hackernoon.com/building-a-robust-jsts-monorepo-best-practices-with-yarn-nx-and-changesets
Smooke 
posted an update over 1 year ago
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1906
Hallucinations Blog Research Reading List:

Hallucinations Are A Feature of AI, Humans Are The Bug https://hackernoon.com/hallucinations-are-a-feature-of-ai-humans-are-the-bug

Overcome LLM Hallucinations Using Knowledge Bases https://hackernoon.com/overcome-llm-hallucinations-using-knowledge-bases

How to Detect and Minimise Hallucinations in AI Models https://hackernoon.com/how-to-detect-and-minimise-hallucinations-in-ai-models

Predictive Coding, AI: Modeling Placebos in RCTs for Psychedelics and Antidepressants https://hackernoon.com/predictive-coding-ai-modeling-placebos-in-rcts-for-psychedelics-and-antidepressants

A Simple Method to Improving the Accuracy of Your RAG System https://hackernoon.com/say-goodbye-to-ai-hallucinations-a-simple-method-to-improving-the-accuracy-of-your-rag-system

Gen AI Hallucinations: The Good, the Bad, and the Costly https://hackernoon.com/gen-ai-hallucinations-the-good-the-bad-and-the-costly

Why Do LLMs Hallucinate? https://hackernoon.com/why-do-llms-hallucinate

Truth Serum For The AI Age: Factiverse To Fight Fake News And Hallucinations https://hackernoon.com/truth-serum-for-the-ai-age-factiverse-to-fight-fake-news-and-hallucinations

A Secret Technique To Sidestepping LLM Hallucinations https://hackernoon.com/a-secret-technique-to-sidestepping-llm-hallucinations

The Importance of Explainability in AI (XAI) https://hackernoon.com/tackling-ai-hallucinations-the-importance-of-explainability-in-ai-xai

What You Need to Know About Amazon Bedrock’s RAG Evaluation and LLM-as-a-Judge for Advancing AI https://hackernoon.com/what-you-need-to-know-about-amazon-bedrocks-rag-evaluation-and-llm-as-a-judge-for-advancing-ai

I Over Relied on AI and Those Shortcuts Cost Me https://hackernoon.com/i-over-relied-on-ai-and-those-shortcuts-cost-me

AI’s Non-Determinism, Hallucinations, And... Cats? https://hackernoon.com/ais-non-determinism-hallucinations-and-cats

More to read --> https://hackernoon.com/search?query=hallucinations
Smooke 
posted an update over 1 year ago
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2178
My Favorite AI Blog Posts on HackerNoon RN:

"AI Chatbots Are Getting Too Good at Making You Say ‘Yes’" https://hackernoon.com/ai-chatbots-are-getting-too-good-at-making-you-say-yes

"Text-to-SQL Was Supposed to Be AI’s Killer App. It’s Not." https://hackernoon.com/text-to-sql-was-supposed-to-be-ais-killer-app-its-not

"This AI Model Gives Edge Devices Eyes on the Back of Their Heads" https://hackernoon.com/this-ai-model-gives-edge-devices-eyes-on-the-back-of-their-heads

"Standardizing Dataset Documentation to Improve Machine Learning Outcomes" https://hackernoon.com/standardizing-dataset-documentation-to-improve-machine-learning-outcomes

"The Internet Is Worse Than Ever, But We’re Too Addicted to Leave" https://hackernoon.com/the-internet-is-worse-than-ever-but-were-too-addicted-to-leave

"DeepSeek vs ChatGPT vs Perplexity vs Qwen vs Claude vs DeepMind" https://hackernoon.com/deepseek-vs-chatgpt-vs-perplexity-vs-qwen-vs-claude-vs-deepmind-more-ai-agents-and-new-ai-tools

"Mitigating Framing Bias with Polarity Minimization Loss: Experiments"
https://hackernoon.com/mitigating-framing-bias-with-polarity-minimization-loss-experiments

"AI Is Now Creating Antidotes for Snake Venom" https://hackernoon.com/ai-is-now-creating-antidotes-for-snake-venom

"human carbon consciousness and AI silicon sentience" https://hackernoon.com/so-how-does-one-really-determine-ai-is-conscious

"Why Natural Language Coding Isn’t for Everyone—Yet" https://hackernoon.com/why-natural-language-coding

"What Is a Diffusion LLM and Why Does It Matter?" https://hackernoon.com/what-is-a-diffusion-llm-and-why-does-it-matter

"AI-Augmented Development: Redefining the Role of Product Managers" https://hackernoon.com/ai-augmented-development-redefining-the-role-of-product-managers

And a bonus story from 2018: "20 top lawyers were beaten by legal AI. Here are their surprising responses" https://hackernoon.com/20-top-lawyers-were-beaten-by-legal-ai-here-are-their-surprising-responses-5dafdf25554d
Smooke 
updated a collection over 1 year ago
Smooke 
posted an update over 1 year ago
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1872
Check out The AI Writing Contest with @BrightData ! https://www.contests.hackernoon.com/ai-writing-contest Cash prizes for innovative approaches to AI and LLM training. We publish blog posts, research papers, stories of side hustles, you name it.

Any story tagged #AI enters to win. Most recent stories: https://hackernoon.com/tagged/ai and RSS feed https://hackernoon.com/tagged/ai/feed

Couple of favorite recent posts we published:

Why Salesforce and Microsoft Are Battling for the Future of AI Agents https://hackernoon.com/why-salesforce-and-microsoft-are-battling-for-the-future-of-ai-agents

Decentralized AI Summit at MIT Votes OriginTrail As The Best Decentralized AI Project https://hackernoon.com/decentralized-ai-summit-at-mit-votes-origintrail-as-the-best-decentralized-ai-project

Studying is Overrated https://hackernoon.com/studying-is-overrated

Why Can’t AI Count Letters??? https://hackernoon.com/why-cant-ai-count-letters

The Paradox of AI: If It Can't Replace us, Is It Making Us Dumber? https://hackernoon.com/the-paradox-of-ai-if-it-cant-replace-us-is-it-making-us-dumber

How Does Human Memory Work? https://hackernoon.com/how-does-human-memory-work

Is AI Actually Writing Production-Ready Code? https://hackernoon.com/is-ai-actually-writing-production-ready-code

Our AI Coding Tool Went Viral, Then Everything Broke. This is What We Learned. https://hackernoon.com/our-ai-coding-tool-went-viral-then-everything-broke-this-is-what-we-learned

Startups of The Year: Meet the AI Industry https://hackernoon.com/startups-of-the-year-meet-the-ai-industry

Nobel Prize Winner Geoffrey Hinton Explores Two Paths to Intelligence in AI Lecture https://hackernoon.com/nobel-prize-winner-geoffrey-hinton-explores-two-paths-to-intelligence-in-ai-lecture

Comparing AI vs. Blockchain Hype https://hackernoon.com/comparing-ai-vs-blockchain-hype

The SaaS Apocalypse and How aI Will Give Birth to One-person Tech Giants https://hackernoon.com/the-saas-apocalypse-and-how-ai-wi
Smooke 
updated a dataset almost 2 years ago
Smooke 
posted an update almost 2 years ago
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609
Chomsky predicting LLMs in 1956, curated by Ryan Rhodes (Rutgers)
Smooke 
posted an update about 2 years ago
Smooke 
posted an update about 2 years ago