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

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.

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

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.

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

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.

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

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

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.

Using AI to code AI.

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

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

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

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.

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 🤣

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).

Computer Science != Programming

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.

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.

If code can be written by a machine, means it will be cheap. For a billion dollar company code complexity has been a kind of a moat. So code being available to everyone means there will be number of alternatives for the users, including an option to create one themselves. Can it be like clothes, Where one can buy from others or stitch one themselves? What is the product in such scenario?

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?

Bigger question is how is that $1B valuation received? Another VC and ZIRP induced bubble, it can totally happen. Can there be a $1B+ company with 2 employees which is trading on NASDAQ? Much smaller chance of that happening.

I was a programmer 25 years ago. Done other stuff like consulting, presales and sales then and "lost" my developer skills. With AI I can no build almost everything from a prototype/MVP perspective with low-code/no-code tools. Luckily my partners are full-stack developers that know how to build scalable production systems. Production systems are a different beast for sure.

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.

The fundamentals of engineering will always be around. However, I think in my lifetime we will see the dawn of an autonomous world. I think it is good but we must work alongside LLMs and AI and most importantly focus on how we can use such tools to improve systems within our society (i.e education, healthcare, ect...)

Interesting comparison with why natural language to SQL hasn’t taken off… I think that’s the first problem Perplexity started working on before pivoting to their current product

you should definitely learn to program right now. they are saying AI will reduce need for coders. But think about it like this. If AI is so good at programming then the moment you make the leap to learn to program you can get up to speed 100x faster and build with it 100x faster and only really can you do this with programming today because the AI is so good. So learn to program, you can now write programs 10x faster!

One thing I have found with AI generated art is, no one wants to buy it, I have not seen anyone purchase an AI generated print. But people spend millions on real paintings and artists prints.

Team, what "hair on fire" problem, does Boom supersonic solve? Isn't it the ultimate "nice to have" product? Yet they got funded. So how come there is so much variance between what VC's say and what they do?

If people don't want to hire people, make lifestyle companies. I'm not interested in investing money in companies that take and don't give. We already know the improvement to status quo will be temporary. I'm not going for it this go round. Apparently everyone realized the only problem with current growth models is employees.

Introduction and Discussion of Jensen Huang's Statement on AI and Coding - 00:00:00 State of AI Programmers and Their Current Capabilities - 00:01:55 History and Impact of Benchmarking in AI and Programming - 00:04:06 Comparison of Image Recognition and Programming Tasks in AI - 00:08:49 Challenges of Real-World Programming vs. Idealized AI Solutions - 00:10:18 Future of AI in Programming: From Basic Tasks to Full App Development - 00:12:25 The Importance of Learning to Code Despite Advancements in AI - 00:17:55 Impact of AI on Software Company Structure and Employment - 00:19:28 The Reality of Scaling Companies with Fewer Employees - 00:22:03 Importance of Management Skills in Company Growth - 00:23:36 Challenges of Treating a Company as a Family vs. a Team - 00:24:04 The Role of Programming and AI in Enhancing Founder Capabilities - 00:27:07 The Future of Companies: More Unicorns or Fewer, Larger Companies? - 00:29:25 Historical Predictions and the Reality of Company Sizes in Tech - 00:30:15 Impact of Technological Advances on Job Roles and Company Structures - 00:31:13 The Value of Engineering Knowledge and Taste in Founding Companies - 00:36:17 Conclusion: The Importance of Learning to Code and Embracing Technology - 00:37:16

As an aspiring non-technical founder, Find it really difficult to come with an mvp or prototype obviously. Even with most no code tools they seem kinda limiting and some are super complex and jumbled to use. I look forward to a time when I can use real language to program efficiently and accurately or upload pictures as examples to create something similar and able to change with prompts

AI programmers is an interesting topic. If the human touch remains important for user interface design, do you see AI being used mainly for prototyping? To Jared's point about the best Python programmers also know C, do you think human programmers will still be involved when things go wrong? (debugging) Down the road, if AI replaces the junior programmer role, how do juniors ever become senior? Hope you do another discussion like this.

Programming also evolving & I wouldn’t be surprised if my git repo stores only my prompts. But who will run & maintain existing code. We still have mainframes & cobol.., So Jensen’s future is really far & we have a few generations ahead of us.

6:19 - Before MNNs (massive neural nets) engineers used hand coded feature extractors, SVMs, statistical modeling, Frequency Domain represntations, Wavelets, etc.

I really want to work with the guy, who feels the company as family

"the process of writing is thinking."

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

10 People + AI = Billion Dollar Company? This is the essence of AI future

This video came at the right time in my life. TL to explain, but thank you

Programming can be seen as a formal language in which you specify what your system does. If one believes they can forever get away with using less formal ones, then they are setting themselves up for failure, because nature likes to keep throwing unforeseen scenarios at you and informal ones wont help you see them ahead of time like formal languages and system created using them do. AI goes on top of existing technology( and not replace it), the ones who believe otherwise, including Karpathy and Huang will prove to be mistaken.

sometimes it’s easier to train humans than to train LLMs

Currently I feel it is true. I always lacked the skill to code but had the ideas and business background. Yesterday I created a discord bot with Claude and Replit. If this works already today… what will be in 10 years? OFC, kids shouldn’t learn to code.

Guess we will find out in a couple of years😊

Despite AI's prowess, human ingenuity remains essential for innovation. Learning to code continues to be crucial in shaping the future of technology. 💡

Hey, your last video about sales was really interesting, why did you removed it ?

[Summary was made with AI] Introduction: The text delves into the state of AI programmers, discussing their reliability, potential impact on employment, and the evolution of programming technology. The conversation also touches on the role of AI in automating jobs and the future of computer science education. Summary: -AI programmers are evolving rapidly, with advancements in developing coding assistance tools and systems. -The text mentions the launch of Devon, an AI programming tool that sparked interest among tech founders. -Benchmark data sets like sbench have played a crucial role in advancing AI programming capabilities, paralleling the impact of ImageNet in the realm of deep learning. -The discussion highlights the breakthrough moment in deep learning with AlexNet, showcasing the transformative power of neural networks. -The evolving landscape of AI programming raises questions about the future balance between human programmers and AI algorithms. Conclusion: The dialogue around AI programmers emphasizes the shift towards human-like programming abilities and the transformative impact on the tech industry. As AI continues to advance, the integration of AI algorithms with human coding expertise will shape the future of programming and technological innovation.

Could you say what IA already change d deeply in the real job world instead what it will do in the future?

so much to learn

English to SQL is solved for the most part, AFAIK.

there is only one thing which Ai can replace and that is a systematically designed task, lucky for us the world is asymmetrical and thus most of the use cases are mutually exclusive events which don't mean much. You can get AI to write a code for you even deploy it run it without any issues and still the product wont work well because ultimately the consumer of products are humans. Only when the consumer of product will be an AI, then we will have a real fight.If an Ai is buyer and a seller by itself it has a market, only then we can see a revolution.

AI looks to be taking interesting, creative, intellectually-stimulating jobs and leaving the butter-passing to us. Where are the butter-passing robots?

If we get to that point in the future when any human can create software by telling AI what to build using human language - what will become of SaaS companies? Should we start betting on physical businesses and labor/skills?

I am one of these people coding full programs with zero coding knowledge. Your dreams are possible, don’t let them tell you otherwise.

Binance и его успехи вдохновляют! Жду новых видео

It will get there shortly. With all eyes being on AI and intelligent AI reasoning - the future is bright imo.

Great video.

Hey Y combinator, How long does it take to complete the review process? will you notify if it's get rejected?

Stellar!

what are some companies ai or otherwise which have a great employee to valuation ratio? funnily enough Nvidia is at the top.

I am not sure if the partners are overlooking this. And I haven't fully thought through the following, but couldn't a generally intelligent enough agent be able to create an initial MVP, and then use metrics and reason to refine software? Would humans input be useful if human usage data can be collected anyways? Could the AI programmer learn '"creativity"?

wr,say, can say x etc any nmw s perfx, doesnt matter

What about software becomes ubiquitous and not as monetarily valuable?

Great topic!!! Keep these coming Gary

Wow, just wow,

If AI can ever completely replace a senior developer, the job will switch to specification work. Otherwise you will always have to accept subpar results. It's already one of the biggest challenges in development work, aligning the expectation of what exactly is being build and fixing misconceptions. If AI does the coding, a human will still have to check the code to verify, if you ever wanna get decent results. Otherwise it's just going to be bug riddled code full of bad assumptions.

LOVE YOU ALL

🙃 No there will be a Trllionaire monopoly , because once A entity figures out to use AI in any dramatic way, say write program autonomously, then in a year, it will be the monopoly. But, that would occur, each and every time a break through is made,

Amen. You come to the consumer and customer. Don't make me know source code. On Drawing a cat...maybe that's why Cuban bought that Draw me a cat Co. on sharktank...

really not fair to be super smart in the modern age

I tried fumedev, it's not even alpha, let alone beta. It's not even connecting to any repo's.

It's all about communicating your idea right to the AI (LLM). Non technical people or normal English cannot be used for creating softwares. I created a full stack (MERN) e-commerce store using gpt 3.5 (In pieces not in a single go and content on site was mine obviously and the architecture) . But it took me way much time reasoning and explaining and teaching the model to relate and remember the last response and had to repeat lot of things again and again. But if you can communicate the technical requirements well to the LLM you can create a real full stack app. But you still need to know to put the pieces of the puzzle together remembering the final image of the puzzle. In the end you need to be an engineer to create the software because AI is also a software and only a engineer knows the details and aware of the errors and can actually fix the broken things where there is a need. "Technical English is the key."

1 person + AI = Trilion Zimbabwe Dollar Company

There's some absolute bad ideas coming out of YC at the moment 😂

No craft in copy pasting (usually)

too many gpt wrapper companies

I'm building my application now ; i just give gpt and Claude prompts until i get the result i want. the grind is real but i can build anything i want for the most part. it just so insane; i remember always struggling with making a login system now i can do that in 15 mins or less

Most reasoning failures modes is 70% due to positional encoding(reversal curse, context utilization, maintain count state..etc) and oblique data(crazy raw data gets us this tier of downstream performance), but once data resembles complex chains of theoretical coding and sampling. Yea most of your points become invalid. I don’t believe in an AI god, but coding is something LM will be handle with superhuman proficiency compared to humans. UI/UX creativity isn’t a limitation, image and video generation is the solution. I guess unless you’re directly working on these models, you’re obtuse to the actual reality. Google organized the world’s information…but generative AI makes it contextual and actually useful. The thing is..there are no limits.

I like

AI replacing programmers is as far as it can be. Any senior, experienced programmer will tell you that.

smart broad

LLM's are verry bad at generating Algorithms based on your prompt (Something Unique) for this you need to be smart and LLM's are not smart. But telling LLM to build Boilerplate code for Node.js app with 1 router and 2 controllers (this task they can do good)

Typical selfish CEO ,if the world depends on NVDIA for programming then they will be in control and there won't be any creativity and innovation so I ama against people depending on AI and this companies for coding, people should learn to code and express their views and creativity without depending on anyone,learn to code and be independent

"AI worker for X" is the new tar pit

Can someone help me tap in that capital, I need funding.

Start a podcast Seems more interesting 😂

Don't discuss freeing people from labor without discussing supporting them. Those people buttered because they can't build. Building a tech start up is not how everyone should aim to spend their lives. This ecosystem was built by handsomely rewarding everyone: owner, stakeholder, and EMPLOYEES!!!!!

Awesome 👏

👌🏿!!!!

talk about blockchain as well

I think you guys need a new definition of the word 'Unicorn'. Very basic mathematics, a Billion dollar 10 years ago are not the same Billion Dollars now. As much credit as you give to tech and other enabling factors which are making more and more 'unicorns' - you have to understand that by definition of being a 'Unicorn' - just gets easier and easier as time goes by. Is new Billion the old Million? Soon enough.

Not sure of higher and higher level of abstraction programming language analogy works. There were many attempts at 4th gen languages allowing more abstraction in last 40 years, and it did not fully succeeded. Mainstream 3 gen seems to strike this sweet spot of balance between control, flexibility and abstraction you often need. Also, natural language is very vague and unspecific (if you are not German ☺), arguably biggest value of the developers is in their ability to solve and work around some of that ambiguity into precise solutions/implementation. Think about coding as a tool in a tool belt of a craftsman, knowing how to use a hammer does not make a carpenter out of that person. AI coding assistant might be giving that craftsman a 3d printer or water jet cutter.

Like when human invented calculators they stop learning maths! 🤦🏾‍♂️🤦🏾‍♂️🤦🏾‍♂️

This is a Ai Generated video

Start companies and win is an ethos blind of sustainability. You learned the wrong lessons

Sup Garry

Ai is not creative it's just copying previous human work

I love y combination

L̶e̶a̶r̶n̶ ̶t̶o̶ ̶C̶o̶d̶e̶ Learn to Cook