Flere-Imsaho
Joined 1 year ago
Joined 1 year ago
Maps: Knowing what's around me physically, up-to-date information, public transport routes, etc. I found some remote paths on CoMaps in the UK which I walked recently, without the aid of the app I would have not known about these.
AntennaPod: the wealth of information and interesting topics I've been exposed to via podcasts is hard to overstate.
Home Assistant: being able to control my home, optimise the energy usage, improve security.
AI: I can talk to an AI anywhere. Instantly upload a photo, for example I use this to identity plants.
None of these things try and draw my attention all the time - so they don't affect your focus. They are there when I need them, and then are in my pocket when I don't.
Just randomly found this video from CGP Grey:
"What Happened to Horses Is Happening to Us"
https://hackertube.org/watch/7Pq-S557XQU
From...2014 It's surprisingly accurate. I wonder why he stopped making youtube videos.
Either very, it this tax story is true, it is completely rediculous and signifies complete desparation by France.
https://www.elevenenergy.co.uk/#sodium-ion
They are larger than lithium batteries, but potentially cheaper and better performing around temperature extremes.
I find it helpful at least...
The next president will get elected, and then we'll go back to being best buddies with the US, including using their tech.
This is what I find frustrating about the whole AI/slop debate. Developers stopped looking at code a long time ago... Well before LLMs. Take for example a typical nodejs project with its 100s of dependencies. Is a developer going to look through the layers upon layers of code running their app? Of course not, there's to much of it. We've seen supply chain attacks even this week.
Actually what I think will happen is that all those abstractions, dependencies will become irrelevant now that an LLM can just write custom code to solve the business problem. This will massively reduce the supply chain problem.
Then have LLMs dedicated to scanning codebases for security issues.
This is simply not true, perhaps it was in the past but recent models are very capable... To the point that I trust them more than humans to write secure code. It's all about the prompting. Have a step in your development pipeline whereby an LLM scans, checks, audits your code. Make it a different model/session from the LLM that wrote the code in the first place. Acts like an independent auditor.
Is it? In using it at an opportunity to improve our devops pipelines, software supply chains, etc. Perhaps I'm weird and enjoy strange things? Not to mention that all these security incidents will require plenty of people to fix things = more paid work for us humans going forward.
Replaced with trams, which i used extensively when visiting amsterdam. It was such a joy to just hop on/off.