Quotesby GlyphWork quotes
80 quotes from 37 people
- In fact, the new GPT-6 Astra and Fable 5.1 are already enough for transformative impact in large sections of the economy and they can reliably do weeks worth of human work when properly guided and harnessed.
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- Making great things with AI means knowing which AI outputs to keep, which to discard, and which to use as raw material for something the AI would never have generated on its own.
- My point is that, while there is a lot of debate over what future models will do, the current capabilities of existing models are barely being used, and are often not even well understood.
- The capability overhang, the gap between what these models can do and what almost anyone is doing with them, is an opportunity because most people don't bring their own advantages to AI, and those who do get much more out of it.
- You are not trying to compete with AI in producing outputs, that is a losing game. Instead, you want to use your human advantages as basis of working with AI to do things that neither of you could do alone.
- Every quote from Ethan Mollick
- Cognitive offloading is a strategic delegation that costs nothing. Cognitive surrender is something different; an uncritical abdication of reasoning itself. And there is something about AI, about its allure and potency, that could make surrender far more widespread.
- When the people building this technology say your job, your children’s future, and maybe your life are on the line, they cannot then ask the public to welcome AI on faith.
- Engineering specializations are disappearing, judgment and agency are more important, and it only takes one or two engineers for previously “impossible” rewrites and migrations to succeed.
- When you’re skilled at AI Engineering, your best work won’t be merely implementing a product that someone else spec’ed out.
- For knowledge work, which is roughly half of the U.S. economy, AI is as fundamental as electricity (or quickly will be so, with rapid improvements to agents in the next 18 months).
- AI is fantastic at automating tasks that have verifiable outcomes, which is why we’re seeing amazing strides from coding, mathematical proofs, and workplace productivity is an extension to that.
- Now, we focus much less on code and instead focus on deciding what to build, designing the architecture, writing the spec, and verifying outputs.
- Agentic coding enables many developers who previously played more specialized roles (like front-end developer or mobile developer) to play a broader, full-stack role.
- I can churn out code a hundred times faster. I don’t have the cognitive capacity to stay on top of 100 times the amount of code. So you still need a team of engineers, so you can load balance that cognitive capacity across the team.
- I don’t think you can have AIs that perform whole jobs as competently as humans if they’re forced to just write Markdown files from session to session.
- As much as the increases in AI proficiency are prompting layoffs and reshaping the job market now, I believe that AI will be a net-positive force on job creation, because of all the ways it will empower entrepreneurship, accelerate innovation, and attain new levels of productivity and efficiency.
- Then agents arrived. In a matter of months, organizations effectively doubled their workforce, just not with humans. Agents write code, make calls, and run loops at a pace human teams never could.
- Every company is going to have to build what I think of as human capital and token capital.
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- Being on that frontier myself, I can tell you that working with AI that is sometimes better than you, and sometimes hilariously worse, is not a problem you solve once. It is a relationship you negotiate, and re-negotiate, as the models get ever better.
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- First, enduring job displacement is undesirable and dangerous, and we should do everything we can to minimize or prevent it, not to bring it about.
- We know, in principle, that like every other big wave of technology, AI is bound to destroy some jobs and create others.
- But the claim that AI will produce economy-wide, permanent unemployment is unhelpful marketing, bad economics and worse history. To the contrary, productivity gains should increase demand for labor, because labor becomes more valuable.
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- AI will first automate away the things that are easier to form a closed loop learning system on. This is why code and AI research may be accelerated and then displaced quickly - you can have testable closed loop systems so machines can learn and iterate quickly.
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- Multiple later stage CEOs told me that rather then do big layoffs due to AI, they will just stop growing. So if revenue at the company is growing 30%, 50%, or 100%, headcount may be flat or slightly down as they allow attrition to shrink staff.
- This means countries like India and the Philippines may be the most impacted soonest in terms of employment and AI as they house many of these outsourced services organizations. It also means some developing countries may lose their services ladder to upgrading their economy and work.
- Every quote from Elad Gil
- AI has crossed the threshold where it can do most of the intelligence work autonomously and leave the judgement to humans.
- AI, however, not only gives the aforementioned excuse to undo that bloat, but also moves the “rightsize” point significantly towards a much smaller workforce.
- I am not saying everyone ends up happy here, but you cannot have a) a flood of goods and services, b) billions accruing to the AI owners, without also c) prices are at a level where most people can afford to buy a whole bunch of things.
- If you reason from first principles, not surprisingly, the number of radiologists has gone up...
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- Users won’t save a few hours here and there – they’ll go from working as an IC to managing a team of agents.
- Another way to say it is that AI isn’t a substitute for specific human jobs but rather a general labor substitute for humans.
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- That’s why my prediction for 50% of entry level white collar jobs being disrupted is 1–5 years, even though I suspect we’ll have powerful AI (which would be, technologically speaking, enough to do most or all jobs, not just entry level) in much less than 5 years.
- The problem is that if AIs are literally thousands of times more productive than humans, this logic starts to break down. Even tiny transaction costs could make it not worth it for AI to trade with humans.
- Every quote from Dario Amodei
- And I've vibe coded entire ephemeral apps just to find a single bug because why not - code is suddenly free, ephemeral, malleable, discardable after single use. Vibe coding will terraform software and alter job descriptions.
- But if history has taught us anything, this is not the end of the developer, it’s the dawn of something new, the renaissance developer.
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- There’s a reason the fastest-growing AI companies are hiring software engineers as fast as they can.
- Software 1.0 easily automates what you can specify. Software 2.0 easily automates what you can verify.
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- As one of the scientists who helped usher in the era of modern AI, my motivation has always been clear: AI must augment human capability, not replace it.
- If trends continue, then you'd expect people to spend less time in productivity software, and more time creating and connecting.
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- I think there’ll be new jobs we can’t even imagine today, just like the internet created.
- Agents will be teammates that we can call on at various stages of our work, and that will get wiser and more helpful with more experience.
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- We will need fewer people doing some of the jobs that are being done today, and more people doing other types of jobs. It’s hard to know exactly where this nets out over time, but in the next few years, we expect that this will reduce our total corporate workforce as we get efficiency gains from using AI extensively across the company.
- Every quote from Andy Jassy
- There will be very hard parts like whole classes of jobs going away, but on the other hand the world will be getting so much richer so quickly that we’ll be able to seriously entertain new policy ideas we never could before.
- I think there’s no engineer who, tomorrow, if you magically became 2x more productive, it’s just going to create more things.
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- AI is almost certainly going to unlock a massive revolution in knowledge work and code.
- When people give me choices about speed or quality, my answer is, “Yes”.
- No company is better positioned than Salesforce to lead customers through the digital labor revolution.
- I think that in order to have a stable social structure, and democracies function, you can’t just have a return on capital and no return on labor.
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- AI, we believe, is going to make us more productive, more prosperous, and more free.
- A report from the ILO suggests that the augmentation effect will be 6X that of possible substitution.
- AGI will be the biggest lever ever on human willfulness, and enable individual people to have more impact than ever before, not less.
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- We are now confident we know how to build AGI as we have traditionally understood it. We believe that, in 2025, we may see the first AI agents “join the workforce” and materially change the output of companies.
- A key opportunity for most people will be to develop an AI fluency that will enable them to use AI in their jobs, much as they use laptops, smartphones, software applications, and the internet today.
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- For the next five to 10 years, humans will oversee AI "interns," doubling or tripling productivity.
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- I tell them, “Hey, listen, this is the world of AI. Stuff changes every week, and you need to build with that speed.”
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- AI has blown this world open. Almost all pressure to write has dissipated. You can have AI do it for you, both in school and at work.
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- I'm usually reluctant to make predictions about technology, but I feel fairly confident about this one: in a couple decades there won't be many people who can write.
- It will be the same with writing. There will still be smart people, but only those who choose to be.
- So a world divided into writes and write-nots is more dangerous than it sounds. It will be a world of thinks and think-nots.
- Every quote from Paul Graham
- But over the long haul, AI will eliminate most “jobs” insofar as a job is defined as a trade or profession one must pursue to support their needs and lifestyle.
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- White-collar workers are paid tens of trillions of dollars in wages annually worldwide; a drop-in remote worker that automates even a fraction of white-collar/cognitive jobs (imagine, say, a truly automated AI coder) would pay for the trillion-dollar cluster.
- It’s more likely that someone will lose a job to someone else, some other human that uses an AI. Not likely to an AI, but to some other human that uses an AI. I think the first thing that everybody should do is learn how to use AI, so that they can augment their own productivity.
- I think software engineering will spawn a new subdiscipline, specializing in applications of AI and wielding the emerging stack effectively, just as “ site reliability engineer ”, “ devops engineer ”, “ data engineer ” and “ analytics engineer ” emerged.
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- Beyond this, our management theme for 2023 is the 'Year of Efficiency' and we're focused on becoming a stronger and more nimble organization.
