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10 PEOPLE + AI = BILLION DOLLAR COMPANY?

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149.615 Aufrufe vor 2 Monaten Lightcone Podcast
149.615 Aufrufe • 27.06.2024 • Lightcone Podcast

Weniger anzeigen
As AI continues to evolve and advance, a line of thinking has emerged that
humans will no longer need to learn how to write code in the future. If so,
could this mean that a staff of ten or less could create a unicorn? The hosts of
Lightcone analyze this prediction and discuss whether it has merit.  …...mehr
...mehr
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COMING UP

COMING UP

0:00

COMING UP

0:00




WHAT JENSEN HUANG SAID ABOUT CODING

WHAT JENSEN HUANG SAID ABOUT CODING

0:51

WHAT JENSEN HUANG SAID ABOUT CODING

0:51




NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

1:38

NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

1:38




HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

3:16

HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

3:16




GOOD IDEAS COME FROM THE BUILDING PROCESS

GOOD IDEAS COME FROM THE BUILDING PROCESS

11:44

GOOD IDEAS COME FROM THE BUILDING PROCESS

11:44




THE EVOLUTION OF PROGRAMMING LANGUAGES

THE EVOLUTION OF PROGRAMMING LANGUAGES

14:50

THE EVOLUTION OF PROGRAMMING LANGUAGES

14:50




THE BENEFITS OF LEARNING TO CODE, EVEN IF COMPUTERS CAN DO IT

THE BENEFITS OF LEARNING TO CODE, EVEN IF COMPUTERS CAN DO IT

17:52

THE BENEFITS OF LEARNING TO CODE, EVEN IF COMPUTERS CAN DO IT

17:52




WILL WE SEE MORE UNICORNS WITH 10 PEOPLE (OR FEWER)?

WILL WE SEE MORE UNICORNS WITH 10 PEOPLE (OR FEWER)?

18:57

WILL WE SEE MORE UNICORNS WITH 10 PEOPLE (OR FEWER)?

18:57




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Lightcone Podcast


10 PEOPLE + AI = BILLION DOLLAR COMPANY?

149.615 Aufrufe149.615 Aufrufe
27.06.2024

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221 KOMMENTARE

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Von Y Combinator angepinnt


@CHAPTERME

vor 2 Monaten (bearbeitet)

Chapters (Powered by ChapterMe) - 00:00 - Coming Up 00:51 - What Jensen Huang
said about coding 01:38 - Now that computers can code, what does this mean for
CS? 03:16 - How good are AI programmers right now? 05:05 - Benchmark Datasets
08:34 - Will AI replace programmers: SWE-bench 11:44 - Good ideas come from the
building process 14:50 - The evolution of programming languages 17:52 - The
benefits of learning to code, even if computers can do it 18:57 - Will we see
more unicorns with 10 people (or fewer)? 22:36 - Patrick Collison: Leadership
Transition 23:58 - A startup should be like a sports team, not a family 25:33 -
Scaling Challenges 27:23 - Applying engineering problem solving to
non-engineering issues 28:55 - What will happen if AI takes on more programming
roles? 33:38 - Making better for a real customer 36:58 - The verdict - learn to
code! 37:51 - Crafts People 38:07 - Outro
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@AMOROSOGOMBE

vor 2 Monaten

It's not just coding knowledge but the general understanding of computer science
as a whole, gives you context that you need to come up with products that makes
sense for human problems AND are solvable with computing.
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2 Antworten

2 Antworten







@EACHLABS

vor 2 Monaten

Summary by Each Current State of AI Programming - AI tools are becoming more
reliable for simple tasks. - Advances like the sBench dataset have significantly
improved AI programming. - GitHub Copilot and similar tools assist developers
but cannot fully replace them yet. Learning to Code - Coding enhances logical
thinking and problem-solving skills. - Understanding coding is crucial, even
with advanced AI capabilities. Small Teams and Billion-Dollar Companies - AI
could enable small teams to build successful companies. - Experienced founders
often prefer smaller teams for efficiency and focus. Founders' Evolution -
Successful founders transition from engineering to managing teams and processes.
- Effective leadership is critical for scaling startups. Role of AI in Enhancing
Founders' Capabilities - AI lowers technical barriers, making it easier to start
companies. - Founders still need a strong foundation in computer science and
engineering. Conclusion AI will ease the process of starting companies, likely
leading to more unicorns. Skilled programmers and effective leaders will
continue to be essential.
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2 Antworten

2 Antworten







@REMUSE777

vor 2 Monaten

As a consumer, it's hope-inducing. As an entrepreneur, it's distracting.
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5 Antworten

5 Antworten







@ZEVUHURU

vor 2 Monaten (bearbeitet)

It's very important to under what Jensen said. He is NOT saying that there will
be no use for Computer Science majors or Programmers in the foreseeable future.
He is saying that the end game of the industry is to eliminate "Programming" as
we now know it. I don't even think Jensen would proclaim to know when this will
be possible. However, that is the end goal, to enable any human the ability to
program anything using natural language in the same way anyone can now generate
an image on demand.
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8 Antworten

8 Antworten







@HOWTOACTUALLYINVEST

vor 2 Monaten

Instagram only had 13 employees when they hit a $1B valuation and that was pre
crazy inflation.. you guys should know this. What will be impressive w AI is a
billion dollar company w 1 or 2 founders only
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4 Antworten

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@GORDON2766

vor 2 Monaten

If it’s so easy to start these companies, what makes you think any lasting value
is being created?
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18 Antworten

18 Antworten







@GOESBYSTRIDER

vor 2 Monaten (bearbeitet)

Yes! This is the topic I’ve been waiting to hear. Many people are saying the
software engineer career will die with AI engineers emerging soon . Others are
saying “The end of software” as these software products will become quick and
easy to build for everyone so prices will go to zero... We need to talk about
this more as I see people discussing this everywhere
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@GREGORYNEAL-QU1TQ

vor 2 Monaten

What Garry says between 24:00-25:24 might be the most useful thing you will ever
hear in your business life.
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@CARLOSLFU

vor 2 Monaten (bearbeitet)

I have been a follower of Garry since his beginning on YouTube here. It's
incredible that Garry, the CEO, is still part of these videos. That speaks tons
about him and YC's current culture!
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@TECHSUVARA

vor 2 Monaten

The difference between natural language and programming is primarily that
programming requires a VERY SPECIFIC COLLECTION OF TERMS to execute the outcome.
Natural language however is far more malleable and generic. Hence you can get
away with things being a little not as they seem. With programming, you have to
be 100% correct in our outcome. Something LLMs don't do at the moment.
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@SIDMOHAN3339

vor 1 Monat

Thank you for pushing back against the terrible advice. I'm completely
self-taught and published apps (and started my own company). I am a sharper
thinker and a better business leader for it. The only downside is that I have
found coding to be like 'play time' when I was a kid - you can REALLY get lost
in it. So I've become a worse husband
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6


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1 Antwort

1 Antwort







@PETERNGUYEN2022

vor 1 Monat

Great discussion guys, thanks! I think what Jensen meant was that a formal
education in computer science or programming is not necessary, but people can
always learn the basics, including computational thinking. I teach digital
marketing at a college and similarly, I would say that a formal education in
digital marketing is no longer necessary (which is partly why I quit teaching in
January 2023 after playing with ChatGPT for two weeks).
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@RISHPHOTOGRAPHY

vor 2 Monaten

The question is not how to do stuff. The question is what to do. That's where
the human intuition will come. There will exist a power law in ideas, which
right now isn't there because if we could speed up the building process of any
idea, we can quickly see if it's worth the effort or not. AI will bridge that
gap
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@JOHNSTALKERNET

vor 2 Monaten

I like the camera/painter metaphor. I think the next phase of this is knowing
when/where to lean into the LLM vs let the human paint. More advanced tools
don't typically make the previous tools obsolete. Airplanes are more advanced
than cars, but we still use cars. The microwave is more advanced than the
stovetop but with still cook on stoves, etc... but what we HAVE learned is
when/where to use the microwave vs the stove, how best to utilize each. In many
areas the human may be preferred to the LLM and vice versa.
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@GOMINI3707

vor 2 Monaten

How does that square with YC insistance on having co-founders ? Chat GPT has
been an excellent cofounder for a solo founder like myself.. He's always
available, never tires, and the probability of a dispute is zero. The perfect
assistant.
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2 Antworten

2 Antworten







@BAKR0X

vor 2 Monaten

This was a really insightful brainstorming session, loved it. Yep totally agree
that AI would really help in quickly pushing out more ideas and proof of
concepts (from 0 to 1), but you'll still need humans and programmers to scale
and sustain such startups or companies.
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@HUMANAMACHINA9576

vor 2 Monaten (bearbeitet)

Learning Computer Science is fundamental, like learning language and biology is
fundamental for us. We learn english to be able to communicate effectively with
one another and biology to understand how we are composed. To create a thought
or an idea and pass that to another person, language is used. Computer science,
in this particular case, coding, is the direct analog. Other areas in computer
science allow us to understand how computers and machines are structured. We
will need to understand machines like we understand ourselves. They are after
all, mirrors of us but in a different form.
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@ARYANV6926

vor 2 Monaten

I completely agree with the fact that AI could eventually replace junior
developers in simple programming/engineering tasks. The question then is, how
does one become a skilled senior engineer without ever being a junior engineer?
People are going to try their best to skip the fundamental steps given that it
will become automated by AI, but without the fundamentals, you cannot become
truly great at something. So, how is one to progress through this journey of
becoming a great engineer (which is a difficult and lengthy process), while
being able to find work and opportunities to have some level of financial
stability (given that it becomes automated by AI), to one day be able to do
great work and achieve things that AI cannot. How are we to ensure that there is
still a place for people to go through the necessary steps of becoming an expert
in the field without having to go through years and years of school as there are
going to be no jobs to allow you to gain and monetize on this experience and
journey?
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1


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1 Antwort

1 Antwort







@DANECJENSEN

vor 2 Monaten

Chapters (Powered by ChapterMe and @danecjensen) - 00:00 - AI programmers
reliability, companies workforces 00:32 - Controversy over computer science
education 05:16 - Deep learning started with ImageNet benchmark 05:51 -
Challenges in machine learning, AlexNets impact, and AI race 08:30 - Coding as
an image recognition task 10:17 - Engineering models messy real world 15:06 -
Early programming languages coding, assembly, C, Python 18:13 - Learning to code
makes LLMs smarter 22:38 - Patrick Hollisons transformation from intense
engineer to effective leader 23:47 - Startup founder explains rejection of
familylike model 26:01 - Smart founders learn effective leadership skills 27:18
- Oracle cofounder Larry Ellisons path to success 29:20 - Reduced team sizes,
efficiency, Jevons paradox 32:29 - Peoples jobs should be freed up for
innovation 36:33 - Growing up in Chile, YC changed my life 37:51 - YCs
craftspeople build future
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4


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KOMMENTARE 221




Top-Kommentare

Neueste zuerst











KAPITEL








COMING UP

COMING UP

0:00

COMING UP

0:00




WHAT JENSEN HUANG SAID ABOUT CODING

WHAT JENSEN HUANG SAID ABOUT CODING

0:51

WHAT JENSEN HUANG SAID ABOUT CODING

0:51




NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

1:38

NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

1:38




HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

3:16

HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

3:16




GOOD IDEAS COME FROM THE BUILDING PROCESS

GOOD IDEAS COME FROM THE BUILDING PROCESS

11:44

GOOD IDEAS COME FROM THE BUILDING PROCESS

11:44




THE EVOLUTION OF PROGRAMMING LANGUAGES

THE EVOLUTION OF PROGRAMMING LANGUAGES

14:50

THE EVOLUTION OF PROGRAMMING LANGUAGES

14:50




THE BENEFITS OF LEARNING TO CODE, EVEN IF COMPUTERS CAN DO IT

THE BENEFITS OF LEARNING TO CODE, EVEN IF COMPUTERS CAN DO IT

17:52

THE BENEFITS OF LEARNING TO CODE, EVEN IF COMPUTERS CAN DO IT

17:52




WILL WE SEE MORE UNICORNS WITH 10 PEOPLE (OR FEWER)?

WILL WE SEE MORE UNICORNS WITH 10 PEOPLE (OR FEWER)?

18:57

WILL WE SEE MORE UNICORNS WITH 10 PEOPLE (OR FEWER)?

18:57




A STARTUP SHOULD BE LIKE A SPORTS TEAM, NOT A FAMILY

A STARTUP SHOULD BE LIKE A SPORTS TEAM, NOT A FAMILY

23:58

A STARTUP SHOULD BE LIKE A SPORTS TEAM, NOT A FAMILY

23:58




APPLYING ENGINEERING PROBLEM SOLVING TO NON-ENGINEERING ISSUES

APPLYING ENGINEERING PROBLEM SOLVING TO NON-ENGINEERING ISSUES

27:23

APPLYING ENGINEERING PROBLEM SOLVING TO NON-ENGINEERING ISSUES

27:23




WHAT WILL HAPPEN IF AI TAKES ON MORE PROGRAMMING ROLES?

WHAT WILL HAPPEN IF AI TAKES ON MORE PROGRAMMING ROLES?

28:55

WHAT WILL HAPPEN IF AI TAKES ON MORE PROGRAMMING ROLES?

28:55




THE VERDICT - LEARN TO CODE!

THE VERDICT - LEARN TO CODE!

36:58

THE VERDICT - LEARN TO CODE!

36:58




OUTRO

OUTRO

38:07

OUTRO

38:07


Mit Video synchronisieren
Mit Video synchronisieren




BESCHREIBUNG







10 People + AI = Billion Dollar Company?
4024Likes
149.615Aufrufe
27. Juni2024
As AI continues to evolve and advance, a line of thinking has emerged that
humans will no longer need to learn how to write code in the future. If so,
could this mean that a staff of ten or less could create a unicorn? The hosts of
Lightcone analyze this prediction and discuss whether it has merit. Chapters
(Powered by https://bit.ly/chapterme-yc) - 0:00 Coming Up 0:51 What Jensen Huang
said about coding 1:38 Now that computers can code, what does this mean for CS?
3:16 How good are AI programmers right now? 11:44 Good ideas come from the
building process 14:50 The evolution of programming languages 17:52 The benefits
of learning to code, even if computers can do it 18:57 Will we see more unicorns
with 10 people (or fewer)? 23:58 A startup should be like a sports team, not a
family 27:23 Applying engineering problem solving to non-engineering issues
28:55 What will happen if AI takes on more programming roles? 36:58 The verdict
- learn to code! 38:07 Outro
Weniger anzeigen ...mehr
As AI continues to evolve and advance, a line of thinking has emerged that
humans will no longer need to learn how to write code in the future. If so,
could this mean that a staff of ten or less could create a unicorn? The hosts of
Lightcone analyze this prediction and discuss whether it has merit. Chapters
(Powered by https://bit.ly/chapterme-yc) - 0:00 Coming Up 0:51 What Jensen Huang
said about coding 1:38 Now that computers can code, what does this mean for CS?
3:16 How good are AI programmers right now? 11:44 Good ideas come from the
building process 14:50 The evolution of programming languages 17:52 The benefits
of learning to code, even if computers can do it 18:57 Will we see more unicorns
with 10 people (or fewer)? 23:58 A startup should be like a sports team, not a
family 27:23 Applying engineering problem solving to non-engineering issues
28:55 What will happen if AI takes on more programming roles? 36:58 The verdict
- learn to code! 38:07 Outro …...mehr
...mehrWeniger anzeigen

KAPITEL

ALLE ANSEHEN





COMING UP

COMING UP

0:00

COMING UP

0:00




WHAT JENSEN HUANG SAID ABOUT CODING

WHAT JENSEN HUANG SAID ABOUT CODING

0:51

WHAT JENSEN HUANG SAID ABOUT CODING

0:51




NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

1:38

NOW THAT COMPUTERS CAN CODE, WHAT DOES THIS MEAN FOR CS?

1:38




HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

3:16

HOW GOOD ARE AI PROGRAMMERS RIGHT NOW?

3:16




Mehr von diesem Podcast
11 Folgen

11 Folgen
Lightcone Podcast
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