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abhikul0

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She just gets bored sitting by the lake,

Her soul won't surface and her heart won't ache.

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Most people didn't have the same kind of experience, they got the LimeWire version which was the equivalent of wading through a dollar store that’s just been ransacked and shit’s all over the floor.

Heh, I often went a step down and recorded internet radio using RadioSure. This little utility split each track into its own file which was pretty neat and handy to a younger me. Shoutout to Ryan Seacrests' AT40 for the weekly charts on the weekends, it kept my "collection" fresh ;-) Although, it was mostly 128-256kbps mp3 but it didn't matter to me, it was fun.

NeuralNote 2 months ago

Wow, didn't know about Spotify's basic-pitch or that any song to midi model existed. Gonna be a good time sink to play around with. The standalone mac app build was straightforward, thanks.

On-device video subtitles generation is exciting, should help with watching videos on mute. This seems like a low hanging fruit that should've already been grabbed by an app but I can't find any.

The blank page is what you'd get if you cleared your Watch History. I use this to watch a new-to-me topic/channel or just a video that I know I'd only watch once and don't want in my recommended history in Incognito mode(although you could just remove that video manually from history too).

This makes it easy to somewhat steer the algorithm, I just open and scrub through a few videos of the same "kind" that I'm interested in and this then makes the youtube homepage a bit wieldy. This still populates unrelated videos but at a lower rate.

For the 9B model, I can use the full context with Q8_0 KV. This uses around ~16GB, while still leaving a comfortable headroom.

Output after I exit the llama-server command:

  llama_memory_breakdown_print: | memory breakdown [MiB]  | total    free     self   model   context   compute    unaccounted |
  llama_memory_breakdown_print: |   - MTL0 (Apple M3 Pro) | 28753 = 14607 + (14145 =  6262 +    4553 +    3329) +           0 |
  llama_memory_breakdown_print: |   - Host                |                   2779 =   666 +       0 +    2112                |

Have you ever tried going to the model registry and seeing that the model was recently updated? What updated? What changed? Should I re-download this 20GB file?

I guess if you're not frustrated with things like this then sure, no need to stop using it.

When the app only shows posts that are more than 10 hours old even when sorting by "hot" and shoving down the algorithmic feed on the app's home page, how are people still using the app?

Lately I've only been visiting a few subs that I'm interested in and keeping them open in safari with ublock; it's been a far better experience. This has drastically cut my reddit time now and if I do want to mindlessly scroll, I just use redlib(hosted in docker or one of their public instances)[0]. It has the same "sort" that's used on the desktop site.

[0] https://github.com/redlib-org/redlib

Worked with Retiming using DC Compiler in an ASIC implementation. Remember a lot of back & forth, sometimes the tool just doesn't add enough registers to meet the constraint, had to test variable register depths; this was a design that used Synopsys DesignWare for FP ops lol.

The 9400 GT mattered to me as it was my first gpu. Had bought NFS Carbon only to find that the home pc only had a CD drive not DVD lol, so finally with that drive upgrade also came the 9400 GT and fun ensued.

Thanks for this release! Any reason why 12B variant was skipped this time? Was looking forward for a competitor to Qwen3.5 9B as it allows for a good agentic flow without taking up a whole lotta vram. I guess E4B is taking its place.

Same experience with browser-use, it installs litellm as a dependency. Rebooted mac as nothing was responding; luckily only github and huggingface tokens were saved in .git-credentials and have invalidated them. This was inside a conda env, should I reinstall my os for any potential backdoors?