메타버스가 스마트폰을 대체할 폼팩터로서 여전히 무한한 잠재력을 가지고 있지만 가장 큰 이슈인 휴대성을 해결하지 못할 경우 여전히 대중화는 요원하다는 평가입니다.
아이폰의 등장과 함께 시작된 스마트폰의 대중화 이전에는 무려 10년에 걸쳐 블랙베리, 팜 파일럿, 윈도우폰과 같은 다양한 시도가 이어지며 시행착오를 겪은 바 있습니다.
스마트폰의 발전 과정에 비춰볼 때 메타버스는 아직 '아이폰 모먼트'는 커녕 '블랙베리 모먼트'에도 도달하지 못했다고 것이 냉정한 평가입니다. 메타퀘스트 3와 애플 비전 프로가 이러한 부정적인 여론을 잠재우고 반전을 이뤄낼 수 있을지 귀추가 주목됩니다.
아이폰의 등장과 함께 시작된 스마트폰의 대중화 이전에는 무려 10년에 걸쳐 블랙베리, 팜 파일럿, 윈도우폰과 같은 다양한 시도가 이어지며 시행착오를 겪은 바 있습니다.
스마트폰의 발전 과정에 비춰볼 때 메타버스는 아직 '아이폰 모먼트'는 커녕 '블랙베리 모먼트'에도 도달하지 못했다고 것이 냉정한 평가입니다. 메타퀘스트 3와 애플 비전 프로가 이러한 부정적인 여론을 잠재우고 반전을 이뤄낼 수 있을지 귀추가 주목됩니다.
20 years in building companies taught me: speed is king.
Moving fast is a miracle drug. Here's why:
→ You learn more about the end-state product per unit time.
There is no team able to accurately predict every future product need. Having an iterative product schedule will solve for this.
→ Achieves a more robust product.
If I had to summarize technology development: it's how many iterations you have done and then how much progress you've made b/t those iterations.
→ Helps prioritize what's important.
Speeds means you only have time for the priority matters. There is no time for things that don't matter.
→ Time is what will kill your company.
P.S. Moving fast is so important to me that it's a corporate value at Figure.
Moving fast is a miracle drug. Here's why:
→ You learn more about the end-state product per unit time.
There is no team able to accurately predict every future product need. Having an iterative product schedule will solve for this.
→ Achieves a more robust product.
If I had to summarize technology development: it's how many iterations you have done and then how much progress you've made b/t those iterations.
→ Helps prioritize what's important.
Speeds means you only have time for the priority matters. There is no time for things that don't matter.
→ Time is what will kill your company.
P.S. Moving fast is so important to me that it's a corporate value at Figure.
Punch Cards Era: The early days of computing required users to interact with machines using punch cards. These rectangular pieces of stiff paper had holes punched into them, representing data and commands. It was a labor-intensive process and the room for error was vast. If one card was misplaced, the whole sequence would be thrown off.
2. Command-Line Interfaces (CLI): The 1980s saw a shift from punch cards to command-line interfaces. Computers like the IBM PC and Apple Macintosh popularized the CLI. While it was more efficient than punch cards, it still required users to memorize commands and their syntax to communicate with the computer.
3. Graphical User Interfaces (GUI): As technology progressed, GUIs began to emerge in the late 1980s and early 1990s. The Apple Macintosh and Microsoft Windows operating systems popularized this interface. Icons, windows, and point-and-click mechanisms made computing more accessible and intuitive for the masses.
4. Touch Interfaces: The 2000s heralded the age of touchscreens. Devices like smartphones and tablets brought a more intimate and direct way of interacting with computers. Pinching, zooming, and swiping became the new language of interaction.
5. Voice Recognition: With the rise of digital assistants like Siri, Alexa, and Google Assistant, voice became a primary mode of interaction. This allowed for hands-free computing and made technology even more embedded in our daily lives.
6. Generative AI and Conversational Interfaces: Today, we're in the age of conversational AI, epitomized by platforms like ChatGPT. These systems not only understand human language but can also generate human-like responses. It feels less like communicating with a machine and more like having a conversation with another human.
https://www.linkedin.com/pulse/from-punch-cards-conversational-ai-evolution-computer-adriana-rocha-1f
2. Command-Line Interfaces (CLI): The 1980s saw a shift from punch cards to command-line interfaces. Computers like the IBM PC and Apple Macintosh popularized the CLI. While it was more efficient than punch cards, it still required users to memorize commands and their syntax to communicate with the computer.
3. Graphical User Interfaces (GUI): As technology progressed, GUIs began to emerge in the late 1980s and early 1990s. The Apple Macintosh and Microsoft Windows operating systems popularized this interface. Icons, windows, and point-and-click mechanisms made computing more accessible and intuitive for the masses.
4. Touch Interfaces: The 2000s heralded the age of touchscreens. Devices like smartphones and tablets brought a more intimate and direct way of interacting with computers. Pinching, zooming, and swiping became the new language of interaction.
5. Voice Recognition: With the rise of digital assistants like Siri, Alexa, and Google Assistant, voice became a primary mode of interaction. This allowed for hands-free computing and made technology even more embedded in our daily lives.
6. Generative AI and Conversational Interfaces: Today, we're in the age of conversational AI, epitomized by platforms like ChatGPT. These systems not only understand human language but can also generate human-like responses. It feels less like communicating with a machine and more like having a conversation with another human.
https://www.linkedin.com/pulse/from-punch-cards-conversational-ai-evolution-computer-adriana-rocha-1f
Linkedin
From Punch Cards to Conversational AI: The Evolution of Computer Interaction
Over the past four decades, our interaction with computers has undergone a breathtaking transformation. From the basic punch cards of the 1960s and 70s to today's advanced conversational AI, the evolution has been truly revolutionary.
“The question we always focus on is ‘can this company become a monopoly?’”
He then lists several things that can make a company a monopoly:
Super fast distribution on a very thin product (e.g. Twitter)
A technological advantage that is continually built upon: you come up with something new and steadily improve (e.g. enterprise SaaS software)
A truly brilliant breakthrough (e.g. Bitcoin)
However he argues that complex coordination—where you take a lot of little pieces and coordinate them into something new—is continually overlooked as a way to create a monopoly:
“This is the thing that’s maybe 180 degrees antithetical to the Lean Startup ethos. It’s complicated. You have to put all the pieces together in just the right way. I think this is on some level what really drove Apple as an innovative company in the last decade… What was new about the iPhone? There was no single component that was new. It was just that you put all of these things together in just the right way… and once you built it, it was actually super hard for people to replicate. You had an advantage for many years. You could get network lock in—in terms of the app community or the brand.”
He also points to Tesla and SpaceX as examples:
“There’s no component to the Tesla that’s actually that new. It’s just that you put all of the pieces together. You re-engineered the whole distributor network. It was this complex coordination that made it work. There’s like this lost art of accounting where you figure out how much things cost and add them all together. And Elon has discovered this lost art of accounting which no other people practice.”
https://x.com/mikemcg0/status/1711727266537812429?s=46&t=h5Byg6Wosg8MJb4pbPSDow
He then lists several things that can make a company a monopoly:
Super fast distribution on a very thin product (e.g. Twitter)
A technological advantage that is continually built upon: you come up with something new and steadily improve (e.g. enterprise SaaS software)
A truly brilliant breakthrough (e.g. Bitcoin)
However he argues that complex coordination—where you take a lot of little pieces and coordinate them into something new—is continually overlooked as a way to create a monopoly:
“This is the thing that’s maybe 180 degrees antithetical to the Lean Startup ethos. It’s complicated. You have to put all the pieces together in just the right way. I think this is on some level what really drove Apple as an innovative company in the last decade… What was new about the iPhone? There was no single component that was new. It was just that you put all of these things together in just the right way… and once you built it, it was actually super hard for people to replicate. You had an advantage for many years. You could get network lock in—in terms of the app community or the brand.”
He also points to Tesla and SpaceX as examples:
“There’s no component to the Tesla that’s actually that new. It’s just that you put all of the pieces together. You re-engineered the whole distributor network. It was this complex coordination that made it work. There’s like this lost art of accounting where you figure out how much things cost and add them all together. And Elon has discovered this lost art of accounting which no other people practice.”
https://x.com/mikemcg0/status/1711727266537812429?s=46&t=h5Byg6Wosg8MJb4pbPSDow
X (formerly Twitter)
Mike McGuiness on X
Q: What startup category is continually underestimated?
In the clip below, Peter Thiel explains why he believes “complex coordination” is a company category that’s continually underestimated.
“The question we always focus on is ‘can this company become…
In the clip below, Peter Thiel explains why he believes “complex coordination” is a company category that’s continually underestimated.
“The question we always focus on is ‘can this company become…
it’s official - I think GitHub Copilot is the first* generative AI product to publicly claim they’ve passed $100m ARR — enough to stand alone as a publicly listed company
Whenever people ask me “is AI a fad” the biggest thing I point to is “follow the money”:
- revenue, not just funding
- RECURRING, not tcosts on hype
- people publicly saying they’d pay 5x the cost
(*there’s likely a few others but none confirmed officially - see Anatomy of Autonomy post on @latentspacepod)
Whenever people ask me “is AI a fad” the biggest thing I point to is “follow the money”:
- revenue, not just funding
- RECURRING, not tcosts on hype
- people publicly saying they’d pay 5x the cost
(*there’s likely a few others but none confirmed officially - see Anatomy of Autonomy post on @latentspacepod)
next up is @DedyKredo LIVE CODING a full test suite, making code changes, and automating commit and PR review, all assisted by @CodiumAI . audible “what the fuck” from @eugeneyan.
youtube.com/live/qw4PrtyvJ…
ends with a powerful message for Israel. we stand with you @itamar_mar.
youtube.com/live/qw4PrtyvJ…
ends with a powerful message for Israel. we stand with you @itamar_mar.
Youtube
- YouTube
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
Probably an underestimate. In less than ten years each American will have a dozen or more AI agents constantly running around the net with AI that is 10x more powerful. Huge increase in per capita consumption of electricity. Add the consumption of electricity by EV's and we will get a suprising nexus that will make household electricity consumption estimate obsolete. nytimes.com/2023/10/10/cli…
https://x.com/vkhosla/status/1711960673754992885?s=46&t=h5Byg6Wosg8MJb4pbPSDow
https://x.com/vkhosla/status/1711960673754992885?s=46&t=h5Byg6Wosg8MJb4pbPSDow
X (formerly Twitter)
Vinod Khosla on X
Probably an underestimate. In less than ten years each American will have a dozen or more AI agents constantly running around the net with AI that is 10x more powerful. Huge increase in per capita consumption of electricity. Add the consumption of electricity…
https://x.com/chiefaioffice/status/1712012639025373468?s=46&t=h5Byg6Wosg8MJb4pbPSDow
The Pitch Deck behind Elevenlabs 📔
The most realistic text-to-audio model across 28 languages.
- Raised $21 million & valued at $100 million
- Backed by Andreessen Horowitz (@a16z)
- Founded by ex-Google & Palantir employees
> 12 slides 🧵
The Pitch Deck behind Elevenlabs 📔
The most realistic text-to-audio model across 28 languages.
- Raised $21 million & valued at $100 million
- Backed by Andreessen Horowitz (@a16z)
- Founded by ex-Google & Palantir employees
> 12 slides 🧵
X (formerly Twitter)
Chief AI Officer on X
The Pitch Deck behind Elevenlabs 📔
The most realistic text-to-audio model across 28 languages.
- Raised $21 million & valued at $100 million
- Backed by Andreessen Horowitz (@a16z)
- Founded by ex-Google & Palantir employees
> 12 slides 🧵
The most realistic text-to-audio model across 28 languages.
- Raised $21 million & valued at $100 million
- Backed by Andreessen Horowitz (@a16z)
- Founded by ex-Google & Palantir employees
> 12 slides 🧵