nen-nomad

LLMs just can't come up with anything they haven't seen in their training data. Try any obscure language, and they will stumble. So for them to become fluent in a new language, you will need a massive corpus of data. Not only do you need to invent a new language, but you also need to create all the sample code for it.

In fifth grade, my father got me a C64. It came with a basic programming book, in English. I read the pages using the dictionary to translate the instructions into my mother tongue.

I made an 8-bit balloon that floated on the screen. It was magical. It is still after decades.

ChatGPT has roughly 800 million weekly active users. Almost everyone around me uses it daily. I think you are underestimating the adoption.

Claude Code with Opus models has definitely reduced our TTM. It took us some time to build processes around it. It freed our resources to focus on tasks such as crafting better user journeys and marketing plans.

One thing I am not sure about is the debt we are accumulating by allowing AI agents to write and maintain the code. In the short term, it is boosting our speed, but in the long run, we may suffer.

But the product works well, and our users are happy with the experience.

I have been a programmer for three long decades, so I have mixed feelings about this. But some days I see the writing on the wall.

Huh? Good eyes!! I forgot an /s at the end.

Claude Code didn’t make me faster. It changed the calendar. What used to take me months now takes weeks. Work didn't vanished, the friction did.

Two years ago I was a human USB cable: copy, paste, pray. IDE <-> chat window, piece by piece. Now the loop is tighter. The distance is shorter.

There’s still hand-holding. Still judgment. Still cleanup. But the shift is real.

We’ve come a long way. And we’re not done.

The models are converging slowly. In the end, it will come down to the user experience and the "personality." I have been enjoying the new Claude Sonnet. It feels sharper than the others, even though it is not the highest-scoring one.

One thing that `exponentialists` forget is that each step also requires exponentially more energy and resources.

I agree with you. Those models are smarter than us in specific areas. But my question is, can they understand ideology, religion, etc, and feel them like we do? Can they come up with their traditions and beliefs? Because these are the core and evolving foundations of our reality and one of the most primitive activities since the dawn of humanity, I do not see any of these models even getting close to these concepts. They parrot what we told them. They have no agency of their own.

It is also a sign of hubris to think that we can create an artificial construct that is more intelligent than we are.

It is excellent that he is speaking out.

I don't believe we can create something more intelligent than us. Smarter, yes, but not more intelligent. We will always have a deeper and more nuanced understanding of reality than our artificial counterparts. But it does not mean that AI can not be a danger.

“The peace activists are war activists,” Karp insisted. “We are the peace activists.”

They are literally saying, "War is Peace".

Yes, I spend hours in it daily. I use it primarily for work as a monitor. It is nice to have all my apps (music, YouTube, etc) accessible in a virtual workspace.

I like the automation features! Good job; it is well-polished Hieu!

Mixtral 8x7b has been good to work with, and I am looking forward to trying this one as well.

Every day, I am becoming more confident that the dead-internet theory is an actual fact!

This looks like a handy service for anyone evaluating enterprise software. Is there any normalization done on the pricing to account for things like contract duration, number of seats, feature tiers, etc? Or is it just the raw pricing data?