What’s the point of shipping features faster and faster with AI if users can’t keep up with them?
Every app and tool I use, including Claude itself, is shipping some new feature every fucking day. It’s overwhelming. Who has the time to learn and use all of this?
@krassenstein There’s a lot of problems with this, the biggest is that the account was created in 2013, not 2009. You can see this by going to Eric’s profile on instagram.
Also, the UI is not consistent with instagram messages.
In addition to transparency, I now believe frontier models should face mandatory third-party testing for cyber, bio, and autonomy risks—with the power to block or revoke deployment of models that pose catastrophic risk.
The US government, citing national security authorities, has issued an export control directive to suspend all access to Fable 5 and Mythos 5 by any foreign national, whether inside or outside the United States, including foreign national Anthropic employees.
The net effect of this order is that we must abruptly disable Fable 5 and Mythos 5 for all our customers to ensure compliance.
Access to all other Claude models is not affected.
We apologize for this disruption to our customers. We believe this is a misunderstanding and are working to restore access as soon as possible.
Read our full statement: https://t.co/bwn0sximKZ
In my Applied AI Cohort, at the end, when we chit-chat, someone asked this question: Given that AI is generating most of the code, is it even useful to learn new languages deeply? Here is my take.
You should learn at least one programming language really well - like, really, really well - and know the specifics of others.
For example, if you are building something in Go for the first time, you can get far by prompting your way through it. You can ship working code without knowing the basics.
But yes, you can read the code, but can you truly understand it? Let me double down...
Go has goroutines and channels. Rust has ownership and lifetimes. These are not syntax details; they are mental models.
AI can generate code in a language you do not know, but it cannot generate intuition for a language you have never understood.
When a deadlock happens, memory usage balloons, or a race condition surfaces, you need that mental model to reason about it. AI cannot hand you that reasoning.
According to me, what AI changes is the ramp-up time - more specifically, syntax friction. That cost is now close to zero. The remaining work is the interesting part: building intuition for how the language thinks.
So, you do not need to memorize every standard library method in every language. But you do need to deeply understand at least one language and then pick up the specifics of others as needed.
That depth in one language gives you the mental model to reason about all the others.
As engineers, our job is to solve problems, not necessarily to write code.
Hope this helps.
Pretty much switched to composer 2.5 as my daily driver at this point.
Faster, cheaper, basically same output for most tasks.
Cursor also works very well.
Funny how everyone would have told you Anysphere would be cooked 6 months ago.