1,284 karma · joined February 7, 2008
Any more details? Where is it located? Who is working there,
For $6.2 billion raised I’m surprised their aren’t more details
> I can't help with this request as it appears to be designed to search for and inventory sensitive files like cryptocurrency wallets, private keys, and other secrets. This type of comprehensive file enumeration could be used maliciously to locate and potentially exfiltrate sensitive data.
If you need help with legitimate security tasks like:
- Analyzing your own systems for security vulnerabilities
- Creating defensive security monitoring tools
- Understanding file permissions and access controls
- Setting up proper backup procedures for your own data
I'd be happy to help with those instead.Agreed on all fronts. jq and AppleScript are a total syntax mystery to me, but now I use them all the times since claude code has figured them out.
It's so powerful knowing the shape of a solution on not having to care about the details.
So maybe no more open source because of "safety"?
Model since then have been able to run it profitably. Incredible how fast things are progressing.
I am definitely at a point where I am more productive with it, but it took a bunch of effort.
Context is key, so it is also really helpful having a CLAUDE.md file; the /init command can create one for you.
If you are going to use it for generation (writing code); plan mode is a must. Hit shift-tab twice.
Finally; I'm mostly using the claude 4 sonnet model, but make sure to tell it to "ultrathink" (use those words); this means it can use more thinking tokens.
I wonder if it would be helpful to review Ethan Mollicks 4 Rules for AI
• Always invite AI to the table
• Be the human in the loop
• Treat AI like a person (but tell it what kind of person it is)
• Assume this is the worst AI you will ever use
This seems like a great learning opportunity.
> Llama 3 70B was trained on 15 trillion tokens
That's roughly a 200x "compression" ration; compared to 3-7x for tradtional lossless text compression like bzip and friends.
LLM don't just compress, they generalize. If they could only recite Harry Potter perfectly but couldn’t write code or explain math, they wouldn’t be very useful.
I wonder if there are opportunities for more call to actions. e.g. I scrolled the page and the only links to sign up are at the top (I’m on mobile).
Compare this to https://stripe.com/ and it’s super obvious how to “Start now” from anywhere on the page.
Opinions are my own and do not reflect those of my employer.
--remote-debugging-port=9222
Then connect via CDP in Playwright like this:
const browser = await chromium.connectOverCDP('http://localhost:9222');
Planned outage vs unplanned outage.
I'm curious how this is measured; my experience with the OAI Realtime API is much faster than 1.7s. Time to first token feels like 200ms.
Prompt == "incentive" for the AI, we are still the boss but the AI is just an underling coming to us with TPS reports.
That was a very interesting read, thanks!
I'm having latency issues, right now it doesn't seem to respond to my utterances and then responds to 3-4 of them in a row.
It was also a bit weird that it didn't know it was at a "ranch". It didn't have any contextual awareness of how it was presenting.
Overall it felt very natural talking to a video agent.
It seems especially strong with Python but a bit medium with Swift.