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fintechie

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OMLX – Ollama for MLX (LLM Inference Server for Apple Silicon)

github.com
2 points·by fintechie·5 bulan yang lalu·0 comments

OMLX – LLM Inference Server for Apple Silicon (Ollama for MLX)

github.com
3 points·by fintechie·5 bulan yang lalu·0 comments

comments

fintechie
·5 bulan yang lalu·discuss
Well you know how it goes... you need to read between the lines. I can agree with you on your "principles", but not enforce them myself.
fintechie
·5 bulan yang lalu·discuss
This kind of flows have been documented in the wild for some time now. They started to pop up in the Cursor forums 2+ years ago... eg: https://github.com/johnpeterman72/CursorRIPER

Personally I have been using a similar flow for almost 3 years now, tailored for my needs. Everybody who uses AI for coding eventually gravitates towards a similar pattern because it works quite well (for all IDEs, CLIs, TUIs)
fintechie
·5 bulan yang lalu·discuss
This... OpenClaw is the best thing to happen to security and forensic firms since Windows XP. The amount of hacks, data/credential leaks, etc to come out of this will be of unfathomable proportions.
fintechie
·5 bulan yang lalu·discuss
Aren't SOTA models doing this for few cents already? at least when I tell Claude to add a systems draw or arch flow to a README.md he'll do it quickly.
fintechie
·tahun lalu·discuss
Can you? can you provide a historical (25+ years) chart of reservoir levels in Cyprus or any EU country? Otherwise let me assume you just fell for a sensationalist article
fintechie
·tahun lalu·discuss
Italy, Spain... eg. https://embalses.net shows maximum historical levels after a sharp bump these past 2 years... pretty sure it's the same story in many EU countries. Droughts are there until they aren't. Normal fluctuations if you check an actual chart going 50-100 years back.

Can you post a historical chart of Cyprus? maybe it tells a different story
fintechie
·tahun lalu·discuss
> It's a crisis measured in hard numbers: reservoir levels, rainfall data, aquifer depletion rates.

Of course I went to check the actual numbers from official sources and they tell a different story. Reservoir levels near historical maximum. So much for building an article on "hard numbers" without pointing to sources.
fintechie
·tahun lalu·discuss
It's not that it isn't better, it's actually worse. Seems like the big guys are stuck on a race to overfit for benchmarks, and this is becoming very noticeable.
fintechie
·tahun lalu·discuss
Is this the first major flop from Anthropic? This thing is unusable. Slow, awful responses. Since Sonnet 3.5 the only real advance in LLM coding has been Gemini 2.5 Pro's context length. Both complement each other quite well so I'll stick to switch between these 2.
fintechie
·tahun lalu·discuss
https://github.com/TabbyML/tabby
fintechie
·tahun lalu·discuss
Quite good, it would sound much better with SOTA voices though:

https://github.com/nari-labs/dia
fintechie
·tahun lalu·discuss
I've been using this one with Cursor the past few months...

https://github.com/foges/whisper-dictation
fintechie
·tahun lalu·discuss
Yeah that may be true. But one can only ask who wins from all the polarisation. Co-workers at odds, friends at odds, even family members at odds. Tech is(was?) intended to be our "happy place".
fintechie
·tahun lalu·discuss
[flagged]
fintechie
·tahun lalu·discuss
IMO this is a bigger blow to the AI big boys than Deepseek's release. This is massive for local inference. Exciting times ahead for open source AI.
fintechie
·tahun lalu·discuss
> I don’t understand how stupid some traders can be.

90% of traders lose money, so that's a data point...

You're trying to apply rational thinking but that's not how markets work. In the end valuations are more about narratives in the collective mind than technological merit.
fintechie
·tahun lalu·discuss
The parallels with the dotcom bubble are clear... Tech is magical. Tech becomes cheap/free. Stock holders panic.

For some time it's been clear that there's an AI bubble and this may be what finally pops it.
fintechie
·tahun lalu·discuss
Gave it a go for several projects, but didn't like it... for big projects it gets messy, fast. It also feels like it has become the new bootstrap.

I'm very happy with my current CSS-in-JS workflow. Crafting good old css with LLM help. You just show the LLM a pic, ask for the components.... boom, done (with proper naming, etc)
fintechie
·tahun lalu·discuss
Hopefully this makes the Cursor team reconsider security (which doesn't seem very good really).

Stopped using it for serious stuff after I noticed their LLMs grabs your whole .env files and sends them to their server... even after you add them to their .cursorignore file. Bizarre stuff.

Now imagine a bad actor exploiting this... recipe for disaster.
fintechie
·2 tahun yang lalu·discuss
Hype died down along with "microservices" where queues made more sense.