🚨Today #Google increases prices by ~20% 🚨
❤️ While we offer 50% discount. ❤️
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iOS hacker, security researcher, 0day enthusiast.
Sometimes RE tools / jailbreak / write-up author.
And accidental maintainer of ever more things I didn't ask for.
Contact in English or German.
PGP: https://siguza.net/pgp.asc
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thinking | outside the box |
🚨Today #Google increases prices by ~20% 🚨
❤️ While we offer 50% discount. ❤️
✅ Check out Tuta Mail & Tuta Calendar: http://tuta.com/goeuropean
The irony is that dev teams who work in ways that appear to get the best results from LLMs - small steps, prompting with tests, rapid feedback loops, continuous testing, code review and integration, and good separation of concerns - have little need for the tools.
They're like healing crystals that work if you get a good night's sleep, drink plenty of water, eat a healthy balanced diet and run 5 km a day.
Looked at the logs for an old forum I host, and out of 39 unique IPs that were hitting it within a 15min time frame:
Except for the last bullet point, all were abusive. And all the ASes I listed were easy blocks, only the Brazilian thing is annoying (I've read that this might be relaying traffic through what's essentially embedded malware in end user software...).
xAI updated Grok to be anti-woke and it’s started calling itself “MechaHitler.”
No better summary of the worldview of people who describe themselves as anti-woke. Even AI figured that out.
At this point, it really does look like the key to keeping LLMs on the rails in your dev workflow is:
* Small feedback cycles, solving one problem at a time
* Prompting with test cases/usage examples
* Continuous testing
* Continuous code review & refactoring
* Continuous integration
* Effective separation of concerns in the design
LOL.
What you've got here is essentially the engineering practices of Extreme Programming.
It could even be argued this is a statistical case for their efficacy.