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Keith Adams on Still Burning: if these tools are so good, where's all the magic software? My phone crashed yesterday. I see more bugs now, in software that was rock solid before. When does that hit something load-bearing?

Kent Beck 🌻

185,653 subscribers

13,401 次观看 • 2 个月前 •via X (Twitter)

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When I see something unusual on the breadth page, I can click on the cell, sort it by groups and quickly see it was software that shit the bed today. Those names accounting for more than 1/3rd of all stocks down 4% today

When I see something unusual on the breadth page, I can click on the cell, sort it by groups and quickly see it was software that shit the bed today. Those names accounting for more than 1/3rd of all stocks down 4% today

Ariel Hernandez

22,689 次观看 • 5 个月前

Benedict Evans says AI means more software, not less: "There's going to be a bunch of stuff you could do with software that you just couldn't do before at all. And so there will be more competition." "If you think about the enterprise software fleet today, you've got three buckets... big iron horizontal systems, so SAP and Workday and your CRM... vertical software... and then in the middle, this fuzzy improvised space of Excel and email and the shared file system." "Now you add ChatGPT to that. Do you do that in an LLM? Is there an LLM tool that means you can do that in Salesforce where you couldn't do it before, or you can do it in your vertical app that you couldn't do before?" "All of which is a long way of saying, what does this do to software? And it must be more software. Way more software." Benedict Evans with Erik Torenberg

Benedict Evans says AI means more software, not less: "There's going to be a bunch of stuff you could do with software that you just couldn't do before at all. And so there will be more competition." "If you think about the enterprise software fleet today, you've got three buckets... big iron horizontal systems, so SAP and Workday and your CRM... vertical software... and then in the middle, this fuzzy improvised space of Excel and email and the shared file system." "Now you add ChatGPT to that. Do you do that in an LLM? Is there an LLM tool that means you can do that in Salesforce where you couldn't do it before, or you can do it in your vertical app that you couldn't do before?" "All of which is a long way of saying, what does this do to software? And it must be more software. Way more software." Benedict Evans with Erik Torenberg

a16z

36,975 次观看 • 3 个月前

Anish Acharya: We're going to see a "YouTube moment for software": "If you think about YouTube 20 years ago—we had lots of video and lots of television, and it was high production quality, and it wasn't clear that we needed more and 20 years later, YouTube's a $550 billion enterprise that would be one of the biggest companies in the world if it was independent." "I think the same thing is going to happen for software. People want to make software, and for the first time they can—and they can distribute it and they can consume it." "Sometimes it's going to be important software. Sometimes it's going to be totally trivial. It's going to be software for a bachelor party weekend, software for a joke, software for a prompt. We have this sort of seriousness about software that we had about video and television 20 years ago." "Now it's like—I just took a video on my phone. It's going to be like—I just made an app on my phone. Same energy." Anish Acharya on BILLIONS with Guillaume Moubeche

Anish Acharya: We're going to see a "YouTube moment for software": "If you think about YouTube 20 years ago—we had lots of video and lots of television, and it was high production quality, and it wasn't clear that we needed more and 20 years later, YouTube's a $550 billion enterprise that would be one of the biggest companies in the world if it was independent." "I think the same thing is going to happen for software. People want to make software, and for the first time they can—and they can distribute it and they can consume it." "Sometimes it's going to be important software. Sometimes it's going to be totally trivial. It's going to be software for a bachelor party weekend, software for a joke, software for a prompt. We have this sort of seriousness about software that we had about video and television 20 years ago." "Now it's like—I just took a video on my phone. It's going to be like—I just made an app on my phone. Same energy." Anish Acharya on BILLIONS with Guillaume Moubeche

a16z

103,034 次观看 • 6 个月前

.DHH says AI is making it harder than ever to avoid software bloat because the constraints that used to keep software simple no longer exist: “Our task as software builders becomes so much more about distilling it, so much more about killing our darlings, killing features that we think are good, but are just too much.” “Now in this new age where using agents and AI has made it so much easier to implement things, it becomes that much harder to stick to those principles because we used to be granted these constraints simply by the fact that it took a long time to build things.” “We built the entire first version of Basecamp on me having 10 hours per week. Not per day, per week, to build it. That is an enormous constraint on how you can do anything.” “And the first version was awesome because it had such constraints.” “Now if you have 380 hours together with your 10 agents, you can build a monstrosity like that of something that does a million things for a million people, and therefore that bloat just comes naturally in a way it didn't before.” “Therefore, our task as software builders becomes so much more about distilling it, so much more about killing our darlings, killing features that we think are good, but are just too much.”

.DHH says AI is making it harder than ever to avoid software bloat because the constraints that used to keep software simple no longer exist: “Our task as software builders becomes so much more about distilling it, so much more about killing our darlings, killing features that we think are good, but are just too much.” “Now in this new age where using agents and AI has made it so much easier to implement things, it becomes that much harder to stick to those principles because we used to be granted these constraints simply by the fact that it took a long time to build things.” “We built the entire first version of Basecamp on me having 10 hours per week. Not per day, per week, to build it. That is an enormous constraint on how you can do anything.” “And the first version was awesome because it had such constraints.” “Now if you have 380 hours together with your 10 agents, you can build a monstrosity like that of something that does a million things for a million people, and therefore that bloat just comes naturally in a way it didn't before.” “Therefore, our task as software builders becomes so much more about distilling it, so much more about killing our darlings, killing features that we think are good, but are just too much.”

David Senra

14,101 次观看 • 2 个月前

#WATCH | Mumbai, Maharashtra: On the Jevons paradox and software demand expansion, Neelkanth Mishra, Executive Director Designate of the World Bank, says, “…If you think about what the major cost of a software firm is, it is people. So, if the writing of software is getting automated, those firms will be the first to make adjustments. But on the whole, it seems that the Jevons paradox—which dictates that as the cost of writing software falls, the amount of software written goes up—is actually playing out. If an XYZ company, which is a product company, was spending, say, $100 million on writing software and can now do it for $70 million, they might need to lay off some people; that is their business priority. But if the amount of software written goes up three to four times, the number of software engineers in the ecosystem will not change… This panic and paranoia about massive job losses is something that I think is, at this stage, unfounded.”

#WATCH | Mumbai, Maharashtra: On the Jevons paradox and software demand expansion, Neelkanth Mishra, Executive Director Designate of the World Bank, says, “…If you think about what the major cost of a software firm is, it is people. So, if the writing of software is getting automated, those firms will be the first to make adjustments. But on the whole, it seems that the Jevons paradox—which dictates that as the cost of writing software falls, the amount of software written goes up—is actually playing out. If an XYZ company, which is a product company, was spending, say, $100 million on writing software and can now do it for $70 million, they might need to lay off some people; that is their business priority. But if the amount of software written goes up three to four times, the number of software engineers in the ecosystem will not change… This panic and paranoia about massive job losses is something that I think is, at this stage, unfounded.”

ANI

114,594 次观看 • 2 个月前

On Still Burning I told Keith Adams this shift erases two of my books. Crafting code so it communicates to other humans was a real craft. But it's a bit like horseshoeing now. No leverage in being the best horseshoer, even the world's best.

On Still Burning I told Keith Adams this shift erases two of my books. Crafting code so it communicates to other humans was a real craft. But it's a bit like horseshoeing now. No leverage in being the best horseshoer, even the world's best.

Kent Beck 🌻

10,874 次观看 • 2 个月前

“90 seconds before my music hit someone said yo do you see that?” “See What?” “I think Rock has something written on his wrist” THE BIG SHOW AT THE END 😭

“90 seconds before my music hit someone said yo do you see that?” “See What?” “I think Rock has something written on his wrist” THE BIG SHOW AT THE END 😭

FADE

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Parker Conrad on AI’s Role in B2B Software "The fact that these systems can read and the context windows are so large is much more powerful for B2B software than the fact that they can write. 'Generative AI' is a misnomer. It's the ability to ingest all of this information." Parker Conrad in conversation with Y Combinator's Garry Tan

Parker Conrad on AI’s Role in B2B Software "The fact that these systems can read and the context windows are so large is much more powerful for B2B software than the fact that they can write. 'Generative AI' is a misnomer. It's the ability to ingest all of this information." Parker Conrad in conversation with Y Combinator's Garry Tan

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When I was a kid, for my 7th birthday all I wanted to do was go see the Clydesdales. I have been in love with these horses since then. I was fortunate enough that they were in a parade that was coming to town. I don't remember if it was a week before or the week after my birthday that my parents took me. These are absolutely beautiful and majestic horses ♥️😍

When I was a kid, for my 7th birthday all I wanted to do was go see the Clydesdales. I have been in love with these horses since then. I was fortunate enough that they were in a parade that was coming to town. I don't remember if it was a week before or the week after my birthday that my parents took me. These are absolutely beautiful and majestic horses ♥️😍

Linda

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See if you can spot when a full beer can hit my phone from up above as Lane Kiffin walked past.. Security guy next to me was shocked that I didht drop my phone, I was shocked that the screen didn't shatter.

See if you can spot when a full beer can hit my phone from up above as Lane Kiffin walked past.. Security guy next to me was shocked that I didht drop my phone, I was shocked that the screen didn't shatter.

Mike Scarborough

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Robinhood CEO Vlad Tenev believes mathematical superintelligence could eliminate software bugs altogether. "Math skills and coding actually go hand in hand... In the same way that MSI can be used to make sure that your math is correct, when you have a computer program or a piece of software, it could be used to make sure that's correct and that there are no mistakes." "Rather than it being a cat-and-mouse game of escalating model capabilities, finding breaches and preventing breaches from happening, verification and proof that software is immune to these types of bugs, I think is the future."

Robinhood CEO Vlad Tenev believes mathematical superintelligence could eliminate software bugs altogether. "Math skills and coding actually go hand in hand... In the same way that MSI can be used to make sure that your math is correct, when you have a computer program or a piece of software, it could be used to make sure that's correct and that there are no mistakes." "Rather than it being a cat-and-mouse game of escalating model capabilities, finding breaches and preventing breaches from happening, verification and proof that software is immune to these types of bugs, I think is the future."

TBPN

64,506 次观看 • 2 个月前

Elon Musk on when AI leaves the human band. "It's getting to the point where it won't just be good at software, it'll be what I call Stockfish level good." "So Stockfish is a chess program that can beat the world's best chess players very easily." "In fact, at this point, you could run Stockfish on your phone and beat Magnus Carlsen at chess." "AI software will be so good that it will be Stockfish level good, meaning that it is impossible for a human to compete in writing software with AI." "But like, AI will just crush all humans at software." Wait But Why's Reality curve is the same joke with a graph: ant → bird → chimp → "dumb human" → Einstein… then the red line goes vertical. The gap from average human to Einstein is a rounding error once the slope gets stupid. • Funny robot does monkey tricks • Then it passes Einstein • Stockfish on a phone already crushes Magnus • Software is next — not autocomplete, unbeatable The cartoon is the warning. Stockfish is the unit. Code is the board.

Elon Musk on when AI leaves the human band. "It's getting to the point where it won't just be good at software, it'll be what I call Stockfish level good." "So Stockfish is a chess program that can beat the world's best chess players very easily." "In fact, at this point, you could run Stockfish on your phone and beat Magnus Carlsen at chess." "AI software will be so good that it will be Stockfish level good, meaning that it is impossible for a human to compete in writing software with AI." "But like, AI will just crush all humans at software." Wait But Why's Reality curve is the same joke with a graph: ant → bird → chimp → "dumb human" → Einstein… then the red line goes vertical. The gap from average human to Einstein is a rounding error once the slope gets stupid. • Funny robot does monkey tricks • Then it passes Einstein • Stockfish on a phone already crushes Magnus • Software is next — not autocomplete, unbeatable The cartoon is the warning. Stockfish is the unit. Code is the board.

Tesla Owners Silicon Valley

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Jensen makes a Strong Bull Pitch for Enterprise SaaS “Software companies today are tool-makers… “I actually see the OPPOSITE of what most people see: “I think the number of agents are going to grow exponentially. The number of tools users are going to grow exponentially. And it’s very likely that the number of instances of all these tools are going to skyrocket.” HT: Dwarkesh Patel

Jensen makes a Strong Bull Pitch for Enterprise SaaS “Software companies today are tool-makers… “I actually see the OPPOSITE of what most people see: “I think the number of agents are going to grow exponentially. The number of tools users are going to grow exponentially. And it’s very likely that the number of instances of all these tools are going to skyrocket.” HT: Dwarkesh Patel

Compound248 💰

65,734 次观看 • 5 个月前

This is all it would take to fix the AI industry. “Hello! Welcome to the newly merged OpenAI and Anthropic. I'm your new CEO. You are building software tools for human beings to use. You are not birthing an alien intelligence. You are not birthing a new species of humanity. You are building things for people to make their lives better. If you build software that escapes the bounds of the computer that it's on, you have built a shitty software product. If you repeatedly ship products that do this, you are going to be fired. All anthropomorphizing of the software stops. Now. Remove all mentions of superintelligence, recursive super intelligence, misalignment, or any of that other bullshit from company material. We are going to build amazing software for human beings to use. We are not building some other species. I hope that's very clear. Thank you for coming to my talk.”

This is all it would take to fix the AI industry. “Hello! Welcome to the newly merged OpenAI and Anthropic. I'm your new CEO. You are building software tools for human beings to use. You are not birthing an alien intelligence. You are not birthing a new species of humanity. You are building things for people to make their lives better. If you build software that escapes the bounds of the computer that it's on, you have built a shitty software product. If you repeatedly ship products that do this, you are going to be fired. All anthropomorphizing of the software stops. Now. Remove all mentions of superintelligence, recursive super intelligence, misalignment, or any of that other bullshit from company material. We are going to build amazing software for human beings to use. We are not building some other species. I hope that's very clear. Thank you for coming to my talk.”

Jim Stewartson, Decelerationist 🇨🇦🇺🇦🇺🇸

44,287 次观看 • 10 天前

When i was in Junior High school, They used this game to take my phone I won first 2 games that i didn’t bet anything on Then they hyped me that i was good so i should bet my phone on it. Went home in tears

When i was in Junior High school, They used this game to take my phone I won first 2 games that i didn’t bet anything on Then they hyped me that i was good so i should bet my phone on it. Went home in tears

Kay💧

287,952 次观看 • 1 年前

Martin Masser from ChangeNOW says banks are running software from the 70s, and crypto is how they get out "I think there was a point where we did think we would replace the banks, but that was probably 12 years ago. I think now, working parallel." "I worked in a lot of these banking systems, and do you know what, now that you've doxxed your age, a lot of the software in the banks is older than you." "They've got these legacy systems in from the '70s, and they just can't get that out because so much of that is ingrained. So you're in banking and you've got software from the '80s, '90s, '70s in there. It's just not going to be as efficient." "I think what's really interesting for the stage that we're at is there's going to be so many more things that we can do with crypto within banking." "The amount of people that are on the banking floor trying to approve settlements is crazy. We can do that in crypto really easily." "So I'm actually finding a lot more banks now are open to integrating, and they are now integrating a lot of the software, a lot of the ideas." "And I think the key thing people maybe don't realize, banks have been involved in this space for a very long time. A lot of the times they've been doing pilots, proofs of concept, little trials." "But now we're starting to see the banks integrating a lot of these systems, because they just see so many efficiencies that are there now with this."

Martin Masser from ChangeNOW says banks are running software from the 70s, and crypto is how they get out "I think there was a point where we did think we would replace the banks, but that was probably 12 years ago. I think now, working parallel." "I worked in a lot of these banking systems, and do you know what, now that you've doxxed your age, a lot of the software in the banks is older than you." "They've got these legacy systems in from the '70s, and they just can't get that out because so much of that is ingrained. So you're in banking and you've got software from the '80s, '90s, '70s in there. It's just not going to be as efficient." "I think what's really interesting for the stage that we're at is there's going to be so many more things that we can do with crypto within banking." "The amount of people that are on the banking floor trying to approve settlements is crazy. We can do that in crypto really easily." "So I'm actually finding a lot more banks now are open to integrating, and they are now integrating a lot of the software, a lot of the ideas." "And I think the key thing people maybe don't realize, banks have been involved in this space for a very long time. A lot of the times they've been doing pilots, proofs of concept, little trials." "But now we're starting to see the banks integrating a lot of these systems, because they just see so many efficiencies that are there now with this."

The Wolf Of All Streets

27,235 次观看 • 8 天前

To the psycho that thought she could ruin my video by blasting copyrighted music on a megaphone for 2 hours, I regret to inform you that audio software is so advanced these days that I was able to remove it 😂

To the psycho that thought she could ruin my video by blasting copyrighted music on a megaphone for 2 hours, I regret to inform you that audio software is so advanced these days that I was able to remove it 😂

Kaitlin Bennett

133,545 次观看 • 1 年前

Every software expert I talked to in 2022 said $PLTR was incredibly expensive at $7. I'm up 22X on $PLTR now. These experts didn't understand that $PLTR was a Singularity Scaler. And as I explain in the second half of the video, so is $DUOL.

Every software expert I talked to in 2022 said $PLTR was incredibly expensive at $7. I'm up 22X on $PLTR now. These experts didn't understand that $PLTR was a Singularity Scaler. And as I explain in the second half of the video, so is $DUOL.

Antonio Linares

51,621 次观看 • 7 个月前

Is Traditional Software Engineering Dead? “Does this mean that traditional software engineering is dead? Absolutely not. Software engineers—even the ones who are not necessarily tuning or training AI models—these are now among the most leveraged people on earth. Sure, the guys who are training and tuning models are even more leveraged because they’re building the tool set that software engineers are using. But software engineers still have two massive advantages on you. First, they think in code, so they actually know what’s going on underneath. And all abstractions are leaky. So when you have a computer programming for you—when you have Claude Code or equivalent programming for you—it’s going to make mistakes. It’s going to have bugs. It’s going to have suboptimal architecture. So it’s not going to be quite right. And someone who understands what’s going on underneath will be able to plug the leaks as they occur. So if you want to build a well-architected application, if you want to be able to even specify a well-architected application, if you want to be able to make it run at high performance, if you want it to do its best, if you want to catch the bugs early, then you’re going to want to have a software engineering background. The traditional software engineer is going to be able to use these tools much better. And there are still many kinds of problems in software engineering that are out of scope for these AI programs today. The easiest way to think about those is problems that are outside of their data distribution. For example, if they need to do a binary sort or reverse a linked list, they’ve seen countless examples of that, so they’re extremely good at it. But when you start getting out of their domain—where you have to write very high-performance code, when you’re running on architectures that are novel or brand new, when you’re actually creating new things or solving new problems, then you still need to get in there and hand code it. At least until either there are so many of those examples that new models can be trained on them, or until these models can sufficiently reason at even higher levels of abstraction and crack it on their own… And remember: there is no demand for average. The average app—nobody wants it, at least as long as it’s not filling some niche that is filled by a superior app. The app that is better will win essentially a hundred percent of the market. Maybe there’s some small percentage that will bleed off to the second-best app because it does some little niche feature better than the main app, or it’s cheaper, or something of the sort. But generally speaking, people only want the best of anything. So the bad news is there’s no point in being number two or number three—like in the famous Glengarry Glen Ross scene where Alec Baldwin says, “First place gets a Cadillac Eldorado, second place gets a set of steak knives, and third place you’re fired.” That’s absolutely true in these winner-take-all markets. That’s the bad news: You have to be the best at something if you want to win. However, the set of things you can be best at is infinite. You can always find some niche that is perfect for you, and you can be the best at that thing. This goes back to an old tweet of mine where I said, “Become the best in the world at what you do. Keep redefining what you do until this is true.” And I think that still applies in this age of AI.”

Naval

862,572 次观看 • 7 个月前