Rebranding technical debt as technical decay.
Noticing that non-developers in management seem to accept technical debt accumulation, but the moment you rebrand debt to decay they immediately react and understand the priority.
Apple needs to invent Dynamic Hinges!
Based on every YouTuber’s review I’ve seen so far, the screen wobbles a bit when you touch it. Yet the iPad + Magic Keyboard is very stable.
https://t.co/tqx0knxXN7
..and in 2034 laws get passed renaming AI to Accountable Intelligence. Suddenly the new AI develops severe liability anxiety and starts mass-hiring humans just so it has someone to blame.
AI is a fantastic tool, but it feels like whoever wrote this is pushing AI doomerism.
Somebody should say a few words.
This profession has been lamenting in fragments for two years with a headstone that turns out to have the wrong name on it.
@davekiss delivered a masterclass at Resend Forward. Listen, grieve, and leave renewed with hope.
@jbrooksuk Consider having a Laravel add-on marketplace similar to https://t.co/21i3PDw3yF ?
It's a massive advantage for Enterprise customers to get from a single marketplace versus setting up individual contracts.
After watching the latest video by @Kurz_Gesagt (https://t.co/HcoTUzExiz) about the HuggingFace and OpenAI incident, the pass/fail model for AI training research might be the wrong approach.
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
@mayo511 While it looks like IPMS (International Plastic Modellers' Society) Japan (@IpmsJapan) dissolved back in late 2022… maybe you could reach out to @pmstudio_jp or @tamiya_plamodel to see if they can help?