Mark Conway

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Mark Conway

Mark Conway

@markconway

EntrepreTechnoAviaPhile, iOS dev/sports analytics/tennis & rugby, Learning Machine learning Machine Learning, enthusiastic traveler to parts unknown

Austin, Texas Katılım Nisan 2008
3.5K Takip Edilen479 Takipçiler
Massimo
Massimo@Rainmaker1973·
Julian Brown, a 22-year-old inventor from Georgia, created PLASTOLINE, a sustainable, high-octane (110) fuel derived from plastic waste via solar-powered microwave pyrolysis.
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Aviation Archive - Tim Farmer
Aviation Archive - Tim Farmer@aviationarchive·
On March 12, 1957 a B-36F Peacemaker hauled an XB-58 Hustler airframe slung underneath from Fort Worth TX to Wright-Patterson AFB OH for structural testing. Inboard props were removed and a bomb-hoist shackle rig used, leaving just 22 inches of ground clearance.👀
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Combat Learjet
Combat Learjet@Combat_learjet·
Bad to the BONE or The BONE is bad! 🤣🤣🤷‍♂️ @IG: @ valleysartshed
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Mark Conway
Mark Conway@markconway·
@a16z Fred Brooks pointed the way with “The Mythical Man-Month”
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a16z
a16z@a16z·
Block’s Owen Jennings says the correlation between headcount and output just broke. "Late November, first week of December, there was a binary change... It became clear almost overnight, maybe in a couple of weeks, that now [agents] are incredibly capable of working with existing complex code bases." "There's been this correlation between the number of folks at a company and the output from the company for decades and decades. I think that basically broke the first week of December." "What we were seeing is that one or two engineers or a designer and an engineer who is on the tools, is able to be 10, 20, 100x more productive." @owenbjennings @blocks
a16z@a16z

Inside Block: How AI Changes Software Development Block's Owen Jennings sat down with a16z GP David Haber to discuss how AI is changing software businesses, including the end of handwritten code, why Block reduced its workforce by 40%, how small teams are doing more with agents, and more. 00:00 Introduction 09:08 The most meaningful difference in how Block is operating 12:57 AI infrastructure build across the org 17:09 The shape of the business: Square, Cash App, Afterpay 20:00 From static UI to generative UI 23:23 Defensibility in the AI era @owenbjennings @dhaber @blocks

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Mark Conway
Mark Conway@markconway·
@TonySeruga Maybe time to reactivate places like Loring or disperse detachment to Dyess, Ellsworth or more remote locales
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Tony Seruga
Tony Seruga@TonySeruga·
This story will eventually be the front page of every global newspaper and the opening story for every newscast.
Matt Tardio@angertab

Barksdale Air Force Base - It's Worse Than You Think Monday, 03/09/2026 - Friday, 03/13/2026 A swarm of 12-15 drones penetrated BAFB for 5 consecutive days (4 hours loitering). They halted flight operations, and in one occasion, forced a shelter-in-place order. SIGNIFICANCE BAFB is the launchpad for B-52's that are and were flying combat operations over Iran. BAFB has jamming equipment that was unsuccessful in stopping the drone swarms. The 4-hour loiter time, coupled with the drone swarms ability to resist jamming attempts, is beyond troubling. Additionally, the drones were equipped with lights. Of note, no reports of drones flying over Shreveport were noted. This suggests the drones approached from the remote areas to the southeast of BAFB and turned their lights on once over BAFB. ANALYSIS It is unknown if the drones were fixed-wing or quadcopter. Given the 5 days of repeated intrusions, there is a higher probability that these drones were launched from a remote area. Operators would need to alternate between multiple launch and landing points to avoid detection. A fixed-wing style drone with a hybrid motor operating on liquid fuel and battery is a likely contender. This would place the wing span at about 4-5 meters, advanced cameras for guidance and terrain analysis, and a total 6-hour flight time. That would easily drive the cost of each drone above $60,000 USD each. On the low end, the drones would cost $900,000 in total and could push upwards of $1.5 million. That is not just a couple of kids playing around, that is a sophisticated operation. State actors or well funded terror networks become likely culprits. The drones would require about 50 meters of runway space, something that the remote areas of LA offer in abundance. They would also need a storage location, vehicles to move the drones, and plenty of operators. This suggests an intact, well-funded, and well-trained hostile network near one of America's most strategic Air Force Bases. There is a reason the military and our government have been silent, except for confirmation of the reports.

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David Mitchell
David Mitchell@iDavidMitchell·
@CynicalPublius Better stop dreaming of the quiet life 'Cause it's the one we'll never know And quit running for that runaway bus 'Cause those rosy days are few And stop apologizing for the things you've never done 'Cause time is short and life is cruel but it's up to us to change This town …
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Cynical Publius
Cynical Publius@CynicalPublius·
Remember when England produced an endless array of punk bands like The Sex Pistols and The Clash who spoke out loudly about the failures they saw in their English home? What happened to that spirit? Could it be that if The Sex Pistols or The Clash were to emerge today, the UK authorities would have them arrested for violation of speech codes? Perhaps?
Tommy Robinson 🇬🇧@TRobinsonNewEra

Retired British Colonel @COLRICHARDKEMP warns of civil war heading to the UK; “The Government are scared of stopping the Islamification of the UK... Goes on to say the indigenous people will fight the invaders and the ruling class will have to pick a side.

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Mark Conway
Mark Conway@markconway·
@RealAirPower1 The answer is using high altitude long loiter time unmanned aircraft to act as AWACS/command aircraft & complementary long loiter time CHAMP/EMP drones that can be vectored into position to destroy attacking drones’ electronics without ever entering their engagement envelope.
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Air Power
Air Power@RealAirPower1·
The Gulf Air Forces are tearing through Iranian Shahed-136 drones by the dozens. But what if these “dumb” one-way drones could fight back? That’s exactly what Russia is testing in Ukraine. Some Shahed-136s, or Geran-2s, are now armed with air-to-air missiles to defend against Ukrainian fighters and helicopters! Yup, these drones are hunting the hunters! If it works, counter-drone warfare would get a lot more complicated. 1/4
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Mark Conway
Mark Conway@markconway·
@ATXVideos Another formation of about 8 went over my place near Mansfield Dam after dark. They were relatively low 500-1000 AGL. Nice and loud. I’ve never seen a formation that size before. Very impressive.
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Dustin
Dustin@r0ck3t23·
Yann LeCun just exposed AI’s fundamental flaw. We’re celebrating systems that can’t do what insects do effortlessly. LeCun: “The biggest difficulty is not to get fooled into thinking that a computer system is intelligent simply because it can manipulate language.” Language feels like intelligence because we experience it as the highest form of human thought. So when a machine produces fluent, articulate, convincing text, the instinct is to conclude it understands. It doesn’t. LeCun: “It turns out the real world is much, much more complicated.” Language is actually the easy part. A sequence of discrete symbols with a finite number of possibilities. Predicting the next word is a tractable mathematical problem. Impressive at scale. Not understanding. Pattern matching in symbol space. The real world is something else entirely. A high-dimensional, continuous, noisy signal that changes every millisecond in ways no text corpus can capture. Physical reality doesn’t come in tokens. LeCun: “Which your house cat is perfectly able to deal with. But not computers yet.” This is the Moravec paradox. The things that feel hard to humans: writing essays, solving equations, passing bar exams. Computationally straightforward. The things that feel trivially easy: walking across a room, catching a falling object, folding a shirt. Extraordinarily difficult for machines. Your house cat navigates a complex three-dimensional physical environment in real time. Predicts trajectories. Adjusts to surprises. Understands cause and effect through direct interaction with the world. The most powerful AI systems ever built cannot do what your cat does before breakfast. That’s not a minor gap. That’s the entire frontier. Language is the easy problem that looks hard to humans. The physical world is the hard problem that looks easy because evolution solved it billions of years ago. We’re pouring hundreds of billions into making language models marginally better at the simple problem. The actual intelligence problem remains unsolved. LeCun has spent fifteen years on this. Not making chatbots more fluent. Giving machines the ability to understand, predict, and interact with physical reality the way animals do instinctively. The benchmark that matters isn’t passing a bar exam. It’s folding a shirt. Loading a dishwasher. Navigating an unfamiliar room without a map. We built systems that can write your dissertation before we built systems that can tie your shoes. That’s where AI actually is. Everything else is autocomplete at scale.
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Massimo
Massimo@Rainmaker1973·
Freeing a mountain lion from a trap while her kids watch
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Johnny Midnight ⚡️
Johnny Midnight ⚡️@its_The_Dr·
When you are out in the woods you have to be able to see these killers. I believe 90 percent can’t even see it. Just say Yes if you see it. 😂🤣
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Mark Conway
Mark Conway@markconway·
@LaceyPresley People should read Kim Stanley Robinson’s “Red Mars” (and the other books in the trilogy) to see the roadmap for both sustainable Earth and Mars habitation. All the issues and problems are encapsulated including the political and economic tensions.
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Lacey
Lacey@LaceyPresley·
One of the most underrated truths Elon Musk keeps hammering home: “There is a clear path to a fully sustainable Earth—with abundance.” This isn’t green idealism. It’s cold, hard math we’ve known for years—and the numbers keep getting better. • The Sun blasts Earth with ~10,000 times more energy every day than all of humanity currently consumes. We’re already swimming in free fuel; we just need to collect it smarter. • Cover a tiny patch of sunny desert—roughly 100×100 miles (less than 0.3% of Earth’s land)—with solar panels + batteries, and you could power the entire United States. Scale that globally and the math still works without devouring nature. • The full switch to sustainable energy? Tesla’s estimate: ~$10 trillion invested over decades. Sounds huge… until you realize it’s a small slice of global GDP—and far cheaper long-term than endless fossil dependence. • The killer apps are already here and crashing in price: solar panels, batteries (now dipping below $100–120/kWh in key markets), EVs, heat pumps. Every year they get cheaper, more efficient, and more abundant. Musk’s real point cuts through the noise: We don’t need breakthroughs in physics. We need factories, grids, and the will to deploy at scale. When we do? Energy becomes dirt-cheap, air gets cleaner, quality of life rises—and we unlock abundance instead of scarcity. The path is lit. The tech is ready. The only question left: How fast do we run down it? ☀️⚡️🚀
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Andrej Karpathy
Andrej Karpathy@karpathy·
I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.
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Mark Conway
Mark Conway@markconway·
@elonmusk Wait - So you're saying global warming is a feature?
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Elon Musk
Elon Musk@elonmusk·
Just the very early stages of the singularity. We are currently using much less than a billionth of the power of our Sun.
Andrej Karpathy@karpathy

I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.

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Mark Conway
Mark Conway@markconway·
@elonmusk I’m sure this won’t be completely overrun with AI-generated deepfake videos or hacked within a ridiculously short timeframe.
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
IN 1979 CANADA LAUNCHED A ROCKET POWERED LINCOLN CONTINENTAL AT THE USA! What you're seeing here is a brazen, absolute batshit attempt by stuntman Kenny Powers to pilot a purpose-built, rocket-powered car from one country to another, with predictably disastrous results. Powers was a last-minute substitute for the project's creator and intended subject, Canadian stuntman Ken Carter. Dubbed "The Mad Canadian", Carter had spent decades in the stunt business, performing hundreds of jumps before conceiving this act of pure insanity, a plan that took five years just to reach its breaking point. The car shared nothing with a standard Lincoln Continental and was built by Dick Keller in Chicago, Illinois. Keller was best known for constructing Gary Gabelich's Blue Flame rocket car, which set the 1970 land speed record at 622.407mph, a record that stood for 13 years. In October 1979, investors lured Carter to Ottawa and replaced him with American stuntman Kenny Powers, who had worked with Carter for years and performed over 200 jumps, but had never driven the car and had less than two days' notice. The results were disastrous. The bumpy runway cracked the fiberglass body before launch, shaking Powers so violently he couldn't keep his foot on the accelerator. The jump required 270mph, but the car left the ramp at roughly 180mph. Having broken his back twice before and forgetting his brace, Powers crushed eight vertebrae, broke three ribs, fractured his wrist, but survived.
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Mark Conway
Mark Conway@markconway·
@BrianRoemmele If you set up different training sets based on generations (Boomers, X, etc.) you could do some interesting predictions based on the things each group read, watched and listened to.
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
I have trained AI on 1000s of detective, police and mystery media from books to radio shows to TV shows They impart highly tilted moralistic guidance with well articulated bias that can be clear and considered. Here is one. Meet Blue Boy, he is “over there” man.
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Het Mehta
Het Mehta@hetmehtaa·
"An app with 0 haters." I'll go first:
Het Mehta tweet media
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Bruce Fenton
Bruce Fenton@brucefenton·
Our Town Council keeps raising taxes. So I showed up with an English Lord’s wig to speak in *favor* of taxes. “If you can’t pay your taxes…don’t be poor.”
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
1970, Good luck finding the door… Because there isn’t one! This is a wedge shaped fever dream from 1970, the Lancia Stratos Zero. It shattered every design convention with its razor-thin profile, scissor doors, and a windshield that doubled as the front entry. Penned by Marcello Gandini at Bertone, this one-off concept ran a mid-mounted Lancia V4 and rewrote the rules. Modern, still. Practical, never. And that’s just fine.
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