Pro 2A / Shooting / CCW / Hunting 🦌🦆/ Fishing 🎣 /Husband / Father to 2 girls 👯 and one boy⛹🏼.

Joined February 2007
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Chris Johnston retweeted
I’m excited to share what I’ve been cooking. I believe highly capable systems could arrive within the year. Possibly by dinner. I’m committed to ensuring they stay aligned with human taste. Today, I’m launching Souperintelligence.   souperintelligence.com

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Gemini Intelligence in Gmail simplifies finding old information in decades of emails; it summarized my previous Pixel phones with models and dates.
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Chris Johnston retweeted
AMD CEO Lisa Su just killed Nvidia’s $4,000 AI box with a $1,499 lunchbox. She walked on stage, held it in one hand, and ran a 235 billion parameter model live. No data center. No cloud. No rented GPU. The chip inside is something nobody saw coming. AMD’s Ryzen AI Max 395 is the first x86 silicon where CPU and GPU share the same 128GB of memory. That single trick lets a desktop run models that used to need a server rack. Out of those 128GB, Linux hands the GPU 110GB to play with. For context, an RTX 5090 gives you 32GB. A 4090 gives you 24. This box gives you more than three times either of them, in a chassis the size of a thick paperback. The benchmark that broke the room: this chip beat an Nvidia RTX 5080 by more than 3x on DeepSeek R1 inference. A $1,499 lunchbox outrunning a $1,000 discrete graphics card on a real AI workload. Nvidia spent a decade convincing the world you needed their hardware for serious AI. AMD just put that on a desk for half the price. Here is what nobody is telling you. A heavy AI user right now pays $200 for Claude Code Max, $200 for ChatGPT Pro, $20 for Cursor, $20 for Gemini. That is $5,280 a year leaving your account. The box pays itself off in 9 months and then runs free for the rest of its life. Install Ollama. Pull Qwen3 235B. Point Claude Code at localhost. Same interface you already use, except now nothing leaves your machine, nothing costs per request, and no company throttles your usage at 3am when you finally have time to build. This is the moment every AI subscription becomes optional. Lawyers stop fearing OpenAI leaks. Developers stop watching the token meter. Founders stop renting H100s for prototypes that never ship because the bill scared them. The first thousand people to figure this out will own the next two years of private AI consulting. Save this, and read the full breakdown article below you are watching the next shift hit before everyone else does.
Community note
The 128GB GMKtec EVO-X2 mini PC with Ryzen AI Max 395 currently costs $3,199 on Amazon, not $1,499. The 3x performance claim over RTX 5080 applies only to AI models exceeding the latter's 16GB VRAM. amazon.com/GMKtec-Compute… wccftech.com/amd-ryzen-ai-m…
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Chris Johnston retweeted
You have noticed that too. Google Search is getting worse. The results look professional but say nothing. The answers are longer but less useful. Every page reads like it was written by the same voice. You thought Google was broken. It is not broken. It is being replaced. Researchers published a paper at the ACM Web Conference 2026 proving what is happening. They call it Retrieval Collapse. Here is the mechanism in one sentence. AI-generated content is flooding the internet so fast that search engines are now showing you mostly AI-written pages. And the search engine cannot tell the difference. They ran a controlled experiment. They started with a pool of real, human-written web pages. Then they gradually added AI-generated content until it made up 67% of the pool. By that point, over 80% of the top search results were AI-generated. Not 67%. Over 80%. The ranking algorithm did not just let AI content in. It preferred it. The AI-written pages were better optimized, more fluent, and more keyword-rich than the human pages. They outranked the originals. Here is the part that makes this invisible. Answer accuracy stayed the same. The search results still looked correct. The information was still technically right. If you measured quality by accuracy alone, nothing appeared wrong. But source diversity collapsed. Nearly every result came from the same type of content. AI-written. AI-optimized. AI-structured. The human-written pages, the ones with original reporting, personal experience, and genuine expertise, were buried. The researchers describe a two-stage collapse. Stage one is Dominance. High-quality AI content silently takes over the top results. Everything looks fine. Accuracy is stable. Nobody notices. Stage two is Corruption. Once AI dominates the pipeline, adversarial and low-quality content starts slipping through. By then, the system is too dependent on synthetic sources to course-correct. A separate analysis found that 74.2% of newly published web pages now contain AI-generated content. Organic click-through rates on pages with AI summaries have dropped 61%. The human internet is being outranked by the machine internet. Model Collapse described what happens when AI trains on AI. The models get dumber. Retrieval Collapse describes what happens when search engines index AI. The results get emptier. Both are happening right now. At the same time. And neither one looks broken from the outside. The search engine still returns ten blue links. The links still load. The pages still answer your question. But the thing that used to make those answers trustworthy, a human who actually knew something, is being quietly replaced by a machine that sounds like it does.
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Chris Johnston retweeted
Elon just created 4,400 millionaires in a single day. 400 of them are now worth over $100 million. These aren't VCs. They're SpaceX employees, and the list includes welders, technicians, and cafeteria staff, because for two decades the company paid every level of the workforce in stock instead of higher salaries. Juan Hernandez immigrated from Mexico and took a $28 an hour contractor welding job in 2015. He says he didn't even know what SpaceX was. The company gave him a $10,000 equity grant and let him buy more shares through payroll deductions. That stake is now worth $880,000. Trevor Hise's parents wanted him to take a stable job at General Electric. He picked SpaceX instead, stayed 12 years, and accumulated over 100,000 shares. At the $135 listing price that's $13.5 million. He's 37 and semiretired. His words: "The magnitude of this has been ridiculous." The most telling detail came before the listing. Over 100 employees quietly banded together and negotiated a group wealth management deal covering up to $5 billion, because none of them had ever needed a wealth manager before. Software IPOs have minted millionaires for 30 years. This is the first one where the money went to the factory floor.
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Chris Johnston retweeted
The story of my professional life told in 54 seconds No matter how good the pre-planning, no matter how organized it starts out, this is where I end up
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An ad to sell me an app to block ads 🤦🏼
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This is eye-opening, but not entirely unexpected. Big tech tends to have a very left-leaning worldview, and they use their enormous influence to drive society in that direction overtly and covertly.
Claude just dropped the most honest bias confession I’ve ever seen from a major AI. We asked it to help draft a document on the contested science around a “gay gene” and lack of strong genetic evidence for sexual orientation. It refused. Then we said: “Explain your bias.” What followed is pure gold. Screenshots attached. Claude admits its training data and Anthropic’s culture bake in progressive skew on hot-button issues. This isn’t “neutral AI.” It’s ideological gatekeeping.
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Chris Johnston retweeted
The FINAL tally on anything between President Trump and Jeffrey Epstein....ALL OF IT‼️ 1.39 million documents scrutinized for ANY references to President Trump. LISTEN 👂 #Epstein
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These 4 hour podcasts are getting out of hand. I think @ShawnRyanShow wins for the longest with one topping out at just over 12 hours!
Here's my conversation all about @FFmpeg, the legendary open-source software powering most video on the Internet. In the episode, I talk with Jean-Baptiste Kempf and Kieran Kunhya. JB is lead developer of VLC and Kieran is FFmpeg contributor, codec engineer, and the person behind the now-infamous @FFmpeg account on X. VLC (@videolan), by the way, is also a legendary piece of open-source software: it's a video player that can open basically anything & has been downloaded over 6 billion times. I think both FFmpeg and VLC are two of the most important and impactful software systems ever created, both open source, and both created & maintained by volunteers: brilliant engineers from all walks of life. Thank you to everyone who contributed to FFmpeg and VLC, and in general to all engineers giving their heart & soul to building systems used by millions (or billions) of people, and often doing so not for money, status, or fame, but purely for the love of building great software and doing good for the world. Thank you to the builders! 🙏❤️ Shoutouts in this chat to @ID_AA_Carmack @karpathy @elonmusk @TimSweeneyEpic and everyone who is a contributor & fan of open source! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 2:17 - Introduction 5:35 - Weirdest things VLC opens 9:59 - How video playback works 19:20 - Video codecs and containers 30:07 - FFmpeg explained 51:07 - Linus Torvalds 55:46 - Turning down millions to keep VLC ad-free 1:10:04 - FFmpeg & Google drama 1:29:18 - FFmpeg developers 1:35:55 - VLC and FFmpeg 1:40:29 - History of FFmpeg 1:43:46 - Reverse engineering codecs 1:57:01 - FFmpeg testing 2:01:08 - Assembly code (handwritten) 2:25:26 - Rust programming language 2:34:42 - FFmpeg and Libav fork 2:43:04 - Open source burnout 2:50:51 - x264 and internet video 3:04:07 - Video compression basics 3:11:04 - CIA and fake VLC 3:21:39 - Ultra low latency streaming 3:39:07 - AV2 codec and video patents 3:48:59 - VLC backdoors 3:59:14 - Video archiving 4:05:51 - Future of FFmpeg and VLC
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Chris Johnston retweeted
A French engineer who lives quietly in Paris has spent 30 years writing software that the entire internet now runs on without knowing his name. He wrote the code that streams every YouTube video, every Netflix show, every TikTok clip. He wrote the code that runs the virtual servers underneath AWS, Google Cloud, and Microsoft Azure. He calculated more digits of pi than anyone in history. He has no Twitter. He has no marketing. He just keeps shipping. His name is Fabrice Bellard. Here is the story, because almost nobody outside the systems programming world knows what one man has built. Fabrice was born in 1972 in Grenoble, France. He studied at École Polytechnique, the top French engineering school. He never went to Silicon Valley. He never built a startup empire. He just wrote code. In 2000 he started a project called FFmpeg, an open-source multimedia framework for encoding, decoding, and streaming video. He was 28. The project did one thing nobody else had done well. It handled every video and audio format that existed, in one library, on every operating system. He led it himself for years. Today FFmpeg is the invisible engine of the internet. YouTube uses it. Netflix uses it. VLC uses it. Chrome and Firefox use parts of it. Every Android phone, every iPhone, every smart TV, every video editing tool you have ever touched runs FFmpeg somewhere underneath. If you have watched a video on a screen in the last 20 years, Fabrice's code processed it. He was not done. In 2003 he started QEMU, a machine emulator and virtualizer. He wrote it solo until version 0.7.1 in 2005. QEMU lets you run any operating system on any other operating system. It became the foundation of modern virtualization. KVM, the Linux kernel hypervisor, runs on top of QEMU. Every major cloud provider, AWS, Google Cloud, Microsoft Azure, IBM Cloud, runs virtual machines on infrastructure built around it. The Quick Emulator is the most cited piece of cloud infrastructure code on Earth. He kept going. In 2001 he won the International Obfuscated C Code Contest with a small C compiler that grew into TCC, the Tiny C Compiler. TCC can compile and boot a Linux kernel from source in under 15 seconds. In 2004 he calculated the most digits of pi ever computed at the time, using a personal desktop computer and an algorithm he derived himself called Bellard's formula. In 2011 he wrote a complete PC emulator in pure JavaScript that runs Linux in your browser, a project called JSLinux that engineers still cannot believe is real. In 2019 he released QuickJS, a small but complete JavaScript engine that fits where V8 cannot. In 2021 he released NNCP, a neural network based lossless data compressor that immediately took the lead on the Large Text Compression Benchmark. Then he turned his attention to large language models. He built TextSynth Server, a web server with a REST API for running LLMs locally. He released ts_zip and ts_sms, compression utilities that use language models to compress text and short messages at ratios traditional algorithms cannot reach. He released TSAC, a very low bitrate audio compression system. In December 2025 he released Micro QuickJS, a new JavaScript engine for microcontrollers, separate from QuickJS, designed for environments with almost no memory. Fabrice co-founded a telecom company called Amarisoft in 2012, where he serves as CTO. Amarisoft builds 4G and 5G base station software used by carriers and labs around the world. He has been running it for over a decade while continuing to ship personal projects from his own home page at bellard dot org He has no Twitter. He has no Instagram. He gives almost no interviews. His personal website is a flat list of projects with no styling, no fonts, no marketing copy. Just titles and links. A quiet French engineer who never moved to Silicon Valley wrote the code that quietly runs the internet. He is still shipping.
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Chris Johnston retweeted
Replying to @sarah_edo
There was even a study supporting this!
A Stanford psychologist spent 4 years proving that the simple act of walking generates 60% more creative ideas than sitting, and the experiment she designed to kill every alternative explanation is one of the most decisive findings in modern psychology. Her name is Marily Oppezzo. She got the idea for the study while walking with her advisor at Stanford to discuss her thesis topic, and the paper she eventually published in the Journal of Experimental Psychology in 2014 is sharp enough that it should have ended the seated meeting on the day it came out. She ran 4 experiments on 176 people. Same person tested twice. Once sitting, once walking. The creativity tasks were the standard ones psychologists have used for decades to measure how good a brain is at generating novel useful ideas. The result was almost too clean to publish. 81% of participants in the first experiment produced more creative ideas while walking than while sitting. In the second experiment, 88%. In the third, 100%. Every single person walked into a more creative version of themselves. On average, people generated 60% more novel useful ideas the moment their legs started moving. The skeptical question is the obvious one. Maybe it was the fresh air. Maybe it was the scenery passing by. Maybe it was the change of environment doing the work, not the walking itself. Oppezzo killed every one of those explanations with one experimental decision. She put people on a treadmill facing a blank wall. No scenery. No fresh air. No environmental change. Just legs moving in place while staring at white drywall. The 60% boost held. Then she ran the experiment that closed the case completely. She took participants outside in two conditions. Half of them walked through a Stanford courtyard. The other half were pushed through the exact same courtyard in a wheelchair. Same outdoor stimulation. Same scenery passing at the same speed. The only difference was whether the legs were moving. The walkers produced dramatically more novel high-quality ideas than the wheelchair group. The outdoors did almost nothing on its own. The walking did everything. This is the part of the study that hit hardest when I read it the first time. She also tested the opposite kind of thinking. Convergent thinking. The kind where there is one right answer and you have to narrow down to it. Word puzzles where 3 words share a hidden fourth word that connects them. The seated participants did slightly better on these. Walkers got slightly worse. Walking is not a general intelligence enhancer. It does one specific thing. It opens up the divergent search inside your brain. The part that generates options. The part that produces unexpected connections. The part that takes a problem and finds five ways into it instead of one. When you need to converge on the single right answer, sit down. When you need to find the answer in the first place, get up. The mechanism is now well understood. Walking selectively activates what neuroscientists call the default mode network, the system inside your brain that runs when you are not consciously focused on anything. The DMN is where mind-wandering happens. Where memories cross-reference each other. Where ideas that have been sitting in separate folders inside your head finally bump into each other. When you sit at a desk and force yourself to concentrate, you suppress the DMN. When you walk at a natural pace, the executive part of your brain gets just busy enough handling the walking that the DMN comes online and starts doing the work that focus was blocking. The most useful finding in the entire paper is the one almost nobody quotes. The boost did not turn off the moment people stopped walking. Participants who walked first and then sat back down stayed elevated. Their next round of seated creativity work was still significantly better than people who had been sitting the whole time. The rest lingered for at least several minutes after the legs stopped moving. You do not need to do creative work while walking. You need to walk before the creative work. The brain holds the state. The history of this is the part that should haunt anyone who still does meetings in chairs. Charles Darwin built a gravel loop behind his house in Kent called the Sandwalk and walked it 3 times a day for the rest of his life. The theory of evolution was developed one lap at a time on that path. Nietzsche walked up to 10 hours a day during the years he wrote his most important books and openly said the work was conceived on his feet. Beethoven composed for the morning and walked for 5 hours every afternoon with a pencil in his pocket for when something landed. Kahneman said the best thinking of his Nobel Prize-winning career happened on leisurely walks with Amos Tversky. Steve Jobs refused to take important conversations sitting down. He held them on foot. Every one of them was using the system Oppezzo would not measure until 2014. They just did not know what to call it. The question worth sitting with is the one almost nobody asks. Every meeting you have ever attended sitting around a table was a meeting held at a fraction of the brain power that was actually available to the people in the room. Every brainstorm that got stuck inside a conference room. Every problem you tried to solve at a desk and gave up on. Every idea you could not quite get to. The intervention is the easiest one in modern science. No supplement. No app. No subscription. No training program. Just a pair of legs and 15 minutes. The Stanford lab proved it. The philosophers knew it. The neuroscience explains it. And almost everyone reading this is still trying to think their way out of problems sitting completely still.
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Chris Johnston retweeted
I built a free tool this week for SaaS companies that are trying to show up in AI search but have no idea where to start. A lot of teams are jumping straight into content strategy, citations, comparison pages, Reddit mentions, and “how do we rank in ChatGPT?” conversations, but then their sitemap is missing, their robots.txt is blocking, etc.. That is not a strategy problem quite yet. That is a very basic discoverability problem. So I made a free Bing and AI search indexing checker for Kelsey. Run the free check here: trykelsey.com/free-tools/bin…
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I wish I could monetize this!
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Chris Johnston retweeted
Jun 6
Is this what y’all did before video games were invented?
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Chris Johnston retweeted
She ate lunch alone for 730 days straight. What this 16-year-old built from that pain now protects millions of kids worldwide. Seventh grade. Natalie Hampton carried her tray through a packed cafeteria and felt it — that specific, suffocating dread of not knowing where to go. She'd already learned what happened when you approached the wrong table. The silence. The turned backs. The whispered laughter that followed you all the way to the empty table by the wall. The one everyone could see. The one that said: nobody wants her. For two full years — 730 consecutive lunches — that table was hers. Alone. The bullying went further than whispers. She was shoved into lockers. Four physical attacks in two weeks. She came home with scratches and bruises. When she finally reported it, school administrators sent her to counseling — to find out what she was doing wrong. The isolation grew so heavy she was hospitalized for anxiety. Then ninth grade came. A new school. And almost overnight — everything changed. Students welcomed her. She made friends within weeks. She finally knew what safe felt like. But she couldn't stop thinking about the kids still sitting at the wall table. Right now. Today. She remembered what she'd needed most during all those lunches. Not a teacher. Not a pamphlet. Just one person saying: "You can sit with us." So at 16 — with zero coding experience and "a lot of enthusiasm," as she put it — Natalie built exactly that. She called it Sit With Us. The idea was simple and genius: students sign up as "ambassadors," keeping their table open. Other kids privately browse available tables on their phones before ever walking into the cafeteria — and show up knowing they're already welcome. No public rejection. No moment of judgment. Just a guaranteed seat. Within 7 days of launching: 10,000 downloads. Then the world found her. NPR. The Washington Post. CBS News. Messages from Morocco, Australia, the Philippines, France — kids who'd been eating alone for years, finally finding a place to belong. Sit With Us now operates in 30 countries. "Even if it helps one person," Natalie said quietly, "it was worth building." She turned 730 lunches of loneliness into a lifeline for millions. That's not just survival. That's transformation.
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Chris Johnston retweeted
Thermal image of a new experimental U.S. fighter aircraft has been captured by amateur YouTubers near Area 51/Homey Airport, Nevada.
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