Austin Seraphin (@AustinSeraphin) profile picture

Blind since birth, computer programmer, accessibility consultant, Qigong teacher, public speaker. I enjoy ham radio: KA3TTT.

Media, PA
Joined September 2008
Photo by Austin Seraphin (@AustinSeraphin)Photo by Austin Seraphin (@AustinSeraphin)Photo by Austin Seraphin (@AustinSeraphin)Photo by Austin Seraphin (@AustinSeraphin)Photo by Austin Seraphin (@AustinSeraphin)Photo by Austin Seraphin (@AustinSeraphin)
Austin Seraphin retweeted
A message Zappa in 1988 - get out there and vote!
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I just voted using the accessible module for the blind. Eything went smoothly, and I got a special America 250 I Voted sticker. Maybe I'll go try to work a WAS250 station on the ham radio.
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When I gave a talk at Tedx Philadelphia, my father criticized me for not moving my hands and standing still. So this made me laugh extra hard. I didn't wear glasses at the time, but should have.
Ten million people have watched a comedian accidentally destroy the entire TED talk industry. He filmed the talk once at TEDxNewYork in 2014 and openly admitted he had nothing to say. Speaking coaches charge $5,000 to teach the exact tricks he used in 6 minutes to say nothing at all. His name is Will Stephen. He is a comedian from Late Night with Seth Meyers who was invited to give a real TED talk and used it to prove the format is a costume anyone can wear. Every TED speaker opens with a question, tells a personal story, cites a scientist, and shows a chart. Stephen did all four in six minutes with zero content. His entire formula fits on a napkin. Gesture with both hands. Ask the audience a question anyone can answer. Tell a mildly embarrassing story so they say aww. Point to a stranger on a slide and call them important. Flash a chart of random numbers. Wear glasses with no lenses. The audience will think you are brilliant. That last trick alone has probably cost the public speaking coaching industry a hundred million dollars in sessions clients should have skipped. "If you watched me on YouTube with the sound off, you would think I was a genius." That is Will Stephen on the TED stage, three minutes into the talk he was paid to give. He wasn't lying. Executives pay $15,000 for a keynote coach and still open with a joke the room never laughs at. Founders rehearse their pitch for weeks and still sound like Stephen at minute four, saying "wagga wah, gabba gabba" with authority. The talk is free on YouTube. The method is written across every TED speaker's playbook for ten years. Stephen still writes for Seth Meyers. Almost none of the ten million viewers have stopped nodding at empty slides since. The formula is free. The willingness to actually say something before your next keynote, pitch, or townhall is the entire edge.
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The AI workstation I bought two weeks ago has increased in price by $2000.
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I just got an AI workstation with an RTX5090. Running local AI feels psychedelic! I haven't felt like this about computers for a long time.
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Austin Seraphin retweeted
Steve Jobs... A message.
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Austin Seraphin retweeted
HI SCORES. 2026 REISSUE. 20 NOVEMBER, LP / CD. Celebrating 30 years of ‘Hi Scores’. boardsofcanada.com
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Austin Seraphin retweeted
What AI has done so far: MEDICINE • Helped paralysed people speak again. (Brain implants turn intended speech into words, even recreating their own voice.) • Helped a paralysed man stand and walk again. (A brain–spine interface let him control his legs by thinking.) • Helped blind people read and understand the world around them. (Describing surroundings, reading labels and identifying objects through a phone camera.) • Uncovered cancers doctors would otherwise have missed. (29% higher breast cancer detection in a major study.) • Identified antibiotic candidates that kill drug-resistant bacteria. (Abaucin targeted a dangerous superbug in lab and animal tests.) LEARNING • Made personalised learning available on demand. (An ‘Einstein’ as your personal tutor whenever you want to learn.) • Helped students learn twice as much in less time. (A custom AI tutor outperformed an active-learning Harvard physics class.) • Helped people write, code, design and build without years of specialist training. SCIENTIFIC DISCOVERY • Predicted the structures of over 200 million proteins. (Opening new paths to understanding disease and developing medicines.) • Discovered planets hidden in telescope data. (Including Kepler-90i, the eighth planet in a distant solar system.) • Recovered ancient writing buried by Vesuvius nearly 2,000 years ago. (Reading inside carbonised scrolls too fragile to unroll.) • Begun unlocking how animals communicate. (Patterns in whale calls. Evidence that elephants use individual, name-like calls.) • Produced a proposed solution to one of mathematics’ hardest problems. (Navier–Stokes: 10,000 AI agents, 88 hours, according to OpenAI.) ENVIRONMENT • Predicted where a hurricane would strike nine days before landfall. (GraphCast forecast Hurricane Lee’s Nova Scotia landfall about three days ahead of conventional forecasts.) • Engineered enzymes that break down plastic in hours rather than centuries. • Detected wildfires before the first emergency call. (Spotting smoke and alerting firefighters earlier.) • Slashed the weedkiller farmers need by targeting weeds individually. (35% less herbicide in sugarcane trials, with nearly the same weed control.) ENERGY • Advanced the science of clean fusion energy. (Controlling and shaping superheated plasma inside an experimental fusion machine.) • Driven a generational wave of investment in carbon-free energy, from nuclear power to solar and wind. (Microsoft’s Brookfield deal alone targets over 10.5 GW of new renewable capacity by 2030.) TRANSPORT • Delivered dramatically safer driverless journeys. (Waymo: 81% fewer injury crashes per mile than human drivers in the areas studied.) • Given people who cannot drive a new way to travel independently. (Including blind passengers and older people who cannot drive.) JOBS AND GROWTH • Fuelled an investment boom. (AI-related investment categories accounted for an estimated 37% of U.S. growth in the first nine months of 2025.) • Driven demand for the skilled trades building AI infrastructure. (Electricians, welders, construction crews and cooling specialists.) WHAT AI HAS NOT DONE • Replaced all the radiologists. Guess what? We still need more of them. • Used a community’s water. Golf courses use more. (U.S. golf irrigation: roughly 550bn gallons in 2020. Data centres’ direct consumption: 17bn in 2023. Microsoft’s next-generation designs consume zero water for cooling.) • Raised everyone’s household electricity bills. (Oregon’s PGE: residential bills cut 1.3% after shifting costs to data centres. Indiana’s I&M: proposed household savings of roughly $100 a year, supported by large-customer growth.) • Demonstrated that it wants to kill us all.
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AI won't kill us all, but it will make covers of songs we like more than the original.
In recent days there has obviously been an aggressive, coordinated information campaign to move AI technologies under the regulatory yoke of the US federal government. When I spot such obvious information warfare tactics, it concerns me. So I wrote this article as a primer on the arguments for and against heavy regulation of AI. It's about 1,500 words. Please read if so inclined.
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10 things most people don't know, that engineers think about constantly: 1. CORRELATION IS NOT CAUSATION Two things happening together does not mean one causes the other. Engineers test this. Most decisions aren't made by people who do. 2. SYSTEMS FAIL AT INTERFACES The individual components usually work fine. It's where they connect that disasters happen. 3. MORE SAFETY FEATURES CAN MAKE THINGS LESS SAFE Adding redundant systems increases complexity. Complexity increases the number of ways things can go wrong. This is called the safety paradox, and it's why nuclear plant design is not simply "add more backups." 4. THE ABSENCE OF EVIDENCE IS NOT EVIDENCE OF ABSENCE Something hasn't failed yet. That doesn't mean it's safe. It may mean you haven't run it long enough. 5. TOLERANCE STACKING Each component has a tolerance: ±0.1mm. Put 20 components together, each at the worst end of their tolerance, and you have a 2mm error. Many products fail not because any part is bad, but because all the parts are slightly wrong in the same direction. 6. THE MAP IS NOT THE TERRITORY Every engineering model is wrong. Some models are useful. The model that causes disasters is the one someone believed was exact. 7. FEEDBACK LOOPS CHANGE SYSTEMS Adding a monitoring system changes the behaviour of the system being monitored. Adding safety incentives changes what engineers report. Measuring performance changes what people optimise for. 8. ENTROPY IS ALWAYS WINNING Everything degrades over time. Maintenance is not optional, it's the only reason anything works. Every structure, machine, and system is a continuous battle against the second law of thermodynamics. 9. THE HUMAN IN THE LOOP IS BOTH THE STRONGEST AND WEAKEST COMPONENT Human adaptability is extraordinary, humans solve problems no designer anticipated. Human error is the root cause of most major failures. Designing for humans means accounting for both. 10. FIRST-PRINCIPLES THINKING IS RARE Most decisions are made by analogy: "we did it this way before." The engineers who change things ask: what does physics actually require here? The answer is almost always different from what tradition suggests.
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Austin Seraphin retweeted
- non-deterministic code output - surprisingly confident when wrong - unpredictable behavior - ignores instructions - occasional hallucinations - expensive to scale - requires constant feedback - hard to evaluate anyway, enough about engineers
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I had a blast during ARRL Field Day, the biggest ham radio weekend of the year. I worked over a hundred stations. And I worked 100% of the stations I attempted to contact. In the city I worked around 1/3 of the stations. See you next year! #ARRLFD
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Linux has a built-in command to cat proof your terminal. It will show if your cat walks across your keyboard. It will also prevent any accidental keystrokes. Type "cat" and hit enter. Type ctrl-d when done.
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Austin Seraphin retweeted
Today we celebrate the anniversary of the Interplanetary arrival of Sun Ra to planet earth. space is the place. (22 May 1914 - 30 May 1993) #SunRa
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Austin Seraphin retweeted
🚨 Clearing your cookies does nothing. That is not how they track you anymore. Texas A&M and Johns Hopkins just published the first peer-reviewed proof. It is called browser fingerprinting. Here is what they found and what actually stops it:
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Wow!
INTROIT & PROPHECY AT 1420 MHZ OUT NOW. VIDEO BY ROBERT BEATTY. INFERNO. 29 MAY 2026. warp.net/introit-prophecy
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Boards of Canada announced their first album in thirteen years!
INFERNO. 18 TRACKS. 70 MINUTES. 2xLP, CD, DIGITAL. 29 MAY 2026. BOARDSOFCANADA.COM
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Austin Seraphin retweeted
One week has passed since Artemis II returned to Earth after a historic mission around the Moon. We laughed, we cried, and we pushed the boundaries of what’s possible, setting the stage for future innovation and exploration. We’re just getting started.
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And splashdown! America is back in the business of sending astronauts to the Moon and bringing them home safely. Reid, Victor, Christina, and Jeremy did an outstanding job. These talented astronauts inspired the world and represented their space agencies and nations as humanity’s ambassadors to the stars. This was a test mission, the first crewed flight of SLS and Orion, pushing farther into the unforgiving environment of space than ever before, and it carried real risk. They accepted that risk for all we stood to learn and for the exciting missions that follow, as we return to the lunar surface, build a Moon base, and prepare for what comes next. And they were not alone. The entire NASA workforce, our commercial and international partners, and the hopes and dreams of people all over the world were with them. The astronauts know it, and you should too. This mission would not have been possible without you. Congratulations. Artemis II, mission accomplished.
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