There’s a neuro-linguistic programming technique you can try to get rid of an earworm.
Picture a radio playing the song and imagine yourself slowly turning down the volume and the song getting quieter until it has gone.
This used to work for me but over time I’ve had to extend it with imagining switching the radio off at the end, unplugging it, and chucking it out the window so it smashes on the ground so no chance of it turning back on!
Do you have to certify compliance with safety / EMC regulations to sell a product like this? The thought of that always put me off imagining a hardware startup.
There’s a neuro-linguistic programming technique you can try to get rid of an earworm.
Picture a radio playing the song and imagine yourself slowly turning down the volume and the song getting quieter until it has gone.
This used to work for me but over time I’ve had to extend it with imagining switching the radio off at the end, unplugging it, and chucking it out the window so it smashes on the ground so no chance of it turning back on!
Perhaps small enough to include in ffmpeg itself so you can just write commands `ffmpeg do this thing I want`.
Now I say this, it seems like there should already be a shell that is also an LLM where you can mix bits of commands you vaguely remember and natural language a bit like Del Boy speaking French...
The ARM based Acorn Risc PC [1] from mid 90s had a case with up to 7 stackable slices. It made the internal volume larger and you installed a longer backplane for expansion cards.
Someone built a pizza oven in one of the slices [2]
Also capture the audio sample from the same record alongside the video. Repeat with lots of records. Train a model to predict the audio from the video. Voila! Play records with just the camera “stylus”...
Tutorful.co.uk | Full-time | REMOTE whenever there is a pandemic, ONSITE with lots of flexibility when not | SHEFFIELD UK | Full Stack
We make tutoring affordable and accessible to all. We have over 10,000 tutors across the UK delivering over 13,000 lessons per week, both in person and online. We're growing fast, we like to stay lean but we need more developers!
Roll up your sleeves for some Vue, TypeScript, Nuxt, PHP, Laravel, Swift, Kotlin, AWS infra-as-code.
We have a strong engineering culture of Kanban, fast feedback, automated testing, infra-as-code and continuous delivery.
Some original telegraph submarine cables were just dragged up the beach, buried a little, then then ends cut and wired up in a tiny concrete hut at the end of the beach. Do an image search for “Porthcurno cable hut” and read about it at https://en.wikipedia.org/wiki/Porthcurno
Tutorful.co.uk | Full-time | REMOTE whenever there is a pandemic, ONSITE with lots of flexibility when not | SHEFFIELD UK | Full Stack
We make tutoring affordable and accessible to all. We have over 10,000 tutors across the UK delivering over 13,000 lessons per week, both in person and online. We're growing fast, we like to stay lean but we need more developers!
Roll up your sleeves for some Vue, TypeScript, Nuxt, PHP, Laravel, Swift, Kotlin, AWS infra-as-code.
We have a strong engineering culture of Kanban, fast feedback, automated testing, infra-as-code and continuous delivery.
40 person EdTech startup in city centre with 10,000 tutors and over 1 million in-person and online lessons taught. Expanding following recent investment.
Looking for a senior full stack developer to join our 12 person dev team. Build great code and help mentor some of our more junior developers.
Tech stack is Vue.JS, TypeScript, PHP with Laravel, Swift, Kotlin, AWS CDK, GitHub Actions.
Even if you can calculate the layout for a very large DAG in a reasonable time, the zooming and scrolling required as a user to make sense of it and follow interesting paths makes it unwieldy in my experience. One approach to use with very large DAGs is to interactively expand / collapse nodes - for a simple tree example imagine something like a treeview control for browsing a file system, expanding folders of interest to drill down rather than viewing all expanded. For non-tree DAGs you need the layout algorithm and you might need to automatically collapse unrelated sections as you expand nodes along a path to keep the time reasonable.
This approach can be combined with lazy loading data as you expand a node as another performance enhancement.
With some effort you can add this interactivity to vis.js or d3. I have previously used a commercial product called KeyLines [1] which has this feature, uses WebGL to run the layout in gpu.