if ChartGPT was the iPhone moment for AI, then Claude Code may the iPhone 5 stage, and as the article points out there will be another explosion point likely the iPhone 6 Plus stage, where the usage really explode.
And to think we are limited by Compute Power even when we throw money at it, along with so many improvements in the pipeline and low hanging fruit. Scary to think what the future will be like, especially in terms of jobs. I have already seen some of our department cutting down 10-15% simply because something like dashboard now requires far less time to do.
HN often focuses on whether LLM cane take over or replaces the job of programmers, it is actually outside tech world which is getting hit the hardest.
I couldn’t read the full article but it raises a good point about using AI for dashboards and creating charts. Lots of people work in the jobs in which the requirement is to literallly pull the data and create nice looking dashboards.
This job is clearly going to be modified in some way.
We finally have a legitimate way to query data using natural language and create dashboards. I don’t know what the point of learning sql is now - at least for olap users.
Its funny though, if we unpack it more and add little more exaggeration to see where future might be going:
* we don't need to know how to write the code, because AI can write code.
* we don't need dashboards, because AI can connect to db directly and generate dashboards on-demand
* we don't need utility SaaS, like managing your Google Ads, Meta Ads. Because AI can connect to them directly and manage your ads
* we don't need many other services, because AI can do them
Only moat seems to be in the platforms with large user base and inertia or things run on top of them: Gmail, Google Ads, Reddit, Instagram, MS Office, AWS/Azure/GCP and etc,.
I’ve been thinking about this but one moat can be trust itself.
If every product can be made easily, what’s left is relation with the customers. Some companies rely on not just the core code or physical product but rather on the overall ecosystem of customers, service and other things. Here, the alignment between all of them is what matters because for certain products to work, you need all parties to jointly trust in the system. For example what makes Uber work is not only the quality of product but that all parties - drivers, riders all jointly trust that the system works.
Security as in sending code to a random Datacenter, or security as in security holes? Because the latter has gotten a lot better with good workflows. The former is hard without self hosting
if ChartGPT was the iPhone moment for AI, then Claude Code may the iPhone 5 stage, and as the article points out there will be another explosion point likely the iPhone 6 Plus stage, where the usage really explode.
And to think we are limited by Compute Power even when we throw money at it, along with so many improvements in the pipeline and low hanging fruit. Scary to think what the future will be like, especially in terms of jobs. I have already seen some of our department cutting down 10-15% simply because something like dashboard now requires far less time to do.
HN often focuses on whether LLM cane take over or replaces the job of programmers, it is actually outside tech world which is getting hit the hardest.
I couldn’t read the full article but it raises a good point about using AI for dashboards and creating charts. Lots of people work in the jobs in which the requirement is to literallly pull the data and create nice looking dashboards.
This job is clearly going to be modified in some way.
We finally have a legitimate way to query data using natural language and create dashboards. I don’t know what the point of learning sql is now - at least for olap users.
Its funny though, if we unpack it more and add little more exaggeration to see where future might be going:
* we don't need to know how to write the code, because AI can write code.
* we don't need dashboards, because AI can connect to db directly and generate dashboards on-demand
* we don't need utility SaaS, like managing your Google Ads, Meta Ads. Because AI can connect to them directly and manage your ads
* we don't need many other services, because AI can do them
Only moat seems to be in the platforms with large user base and inertia or things run on top of them: Gmail, Google Ads, Reddit, Instagram, MS Office, AWS/Azure/GCP and etc,.
I’ve been thinking about this but one moat can be trust itself.
If every product can be made easily, what’s left is relation with the customers. Some companies rely on not just the core code or physical product but rather on the overall ecosystem of customers, service and other things. Here, the alignment between all of them is what matters because for certain products to work, you need all parties to jointly trust in the system. For example what makes Uber work is not only the quality of product but that all parties - drivers, riders all jointly trust that the system works.
A company has moat if they can earn this trust.
I have an employee that’s been setting up ops dashboards manually for 30 years
He set all ours up from scratch in a week with assistants and he’s never been happier cause he knows exactly what to do and what the outputs should be
He can still teach juniors the important parts and walk through how to use Prometheus and Grafana etc…
Claude gave me $50 yesterday with the release of opus4.6 and I burned my session quota + $30 yesterday itself. The code changes were very reasonable.
It is good for handling all code changes where there are no security aspects involved.
Security as in sending code to a random Datacenter, or security as in security holes? Because the latter has gotten a lot better with good workflows. The former is hard without self hosting
Infraction point*
Anyone have the full article?
https://archive.ph/Nm9Ju
Not the full article
Apologies
Claude is becoming too expensive though
It’s not getting more expensive when you account for capability. It’s getting much much cheaper rather
does it matter though?
for consumer users, yes, it is getting expensive. But for corporations, they are willing to pay the price to be competitive
I have burned through more than my salary in AI API calls and nobody seems to care!
I’d guess that there’s at least one person at your company who has bragged about it.
You're not burning hard enough -- aim for 2x!
$2000/mo subscription incoming?
Not just consumers. Also small teams, indies, open source contributors
Depending on how large the paywall ends up being this could lock a lot of those out of being competitive