u/redthriller097

The real reason AI fails in big supply chains? It’s the boardroom, not the code

Leadership won’t stop yapping about digital transformation. It is the future, sure, but on the ground, it is a total mess.
In my department, we are actually trying. We use OpenClaw to scrap data and policy files, and AccioWork to handle the mountain of contracts. It works great for us. But here is the kicker: we are an island.
Supply chain is supposed to be a single, fluid machine, but in a big corp, it is just a bunch of disconnected fiefdoms. Nobody has the spine to step up and actually integrate the data across the whole company. Managers only care about their own immediate orders and their own KPIs. If it doesn't help their bonus this quarter, they don't want to hear about it.
While lean startups are out there building actual automated pipelines, we are stuck with data between five different legacy systems that don't talk to each other.
The death of AI in SCM doesn't happen because the tech is broken. It happens in the conference room, killed by office politics and people protecting their own little corners of the world.

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u/redthriller097 — 1 day ago

What parts of your workflow do you still refuse to automate with AI?

Lately I’ve realized how deeply AI tools have entered my daily workflow.

I use Notion AI to store information, monday.com AI to automate project collaboration, and Clipto.AI to build knowledge graphs based on personal data for memory tracking and workflow summarization. At this point, a large part of my workflow already relies on AI assistance.

But it also made me curious about the opposite question.

Even with how useful AI has become, are there still parts of your process that you intentionally keep manual or non-AI? First-draft thinking? creative direction? client communication?

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u/redthriller097 — 3 days ago

Is 50GB overkill for a Thailand eSIM during vacation, or do people actually burn through that much?

I’m from the US and heading to Thailand for a vacation with a couple of friends, and I’ve been overthinking something I normally don't do on trips: how much data I’ll actually need.

Usually when I travel, my usage is pretty basic and I never get close to data limits. But this trip feels different.

From what I’ve seen about longer trips, you’re out all day, constantly using your phone for maps, messaging, rides, and posting. Feels like I’ll be online almost nonstop.

I’ve been looking at Thailand eSIMs and noticed big price differences. For similar data, some plans are way more expensive. I saw a Redteago plan with 50GB for 10 days cheaper than most, which seems like a pretty good deal.

I’m just wondering how much data people actually use on trips like this. Did you end up using way more than usual, or was a smaller plan enough?

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u/redthriller097 — 6 days ago

Running 70b+models on acemagic m1a pro 128gb enough or should i build instead?

Getting into running large language models locally llama 70b, mixtral, that kinda stuff. saw the acemagic m1a pro+ ryzen AI 395, 128GB unified memory, and 2tb storage for $3299 presale. other option is just building a regular desktop, something like 7950X3D 128GB ddr5 would run me around $2k+ for the core parts. mini pc sounds cleaner for my desk setup tho. Does 128gb unified memory handle big models better than regular ram? Anyone using mini pcs for ai stuff or should i just go the traditional build route?

u/redthriller097 — 7 days ago

70mai A810 Lite vs A810 what are the main differences?

Been eyeing the A810 Lite, curious what the main differences are compared to the regular A810. i know the Lite is cheaper and uses a supercapacitor while the regular A810 has a lithium ion battery, are there any other differences i should know about? which one would you go with?

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u/redthriller097 — 8 days ago

Finding Software for Searching and Transcripting Long Audio Archives

I’ve been thinking about this more from a self-hosted / data control angle rather than just organizing files.

Over the past few years I’ve accumulated a large amount of recorded material from interviews, meetings, brainstorm sessions, Zoom calls, etc. Everything is stored locally, but there’s no real structure behind it, so retrieval usually means manually scrubbing through long audio files trying to find specific moments.

The frustrating part is not storage, it’s search and reuse.

Most of the time I don’t need the full recording anymore, just a specific idea or sentence someone mentioned months ago. But getting back to that point usually doesn’t scale well without some kind of indexing layer.

I’ve been experimenting a bit with different approaches to see how people solve this in self-managed setups.
Things I’ve tried in small tests:
basic transcription + manual notes
keyword search over transcripts
timestamp-based navigation instead of linear playback

I also tested software like Accio Work and Clipto. AI just to understand how far keyword-based retrieval can go in practice. It’s interesting how quickly recordings become usable once you can jump directly to specific moments instead of listening end to end.

But I’m still not sure what a good long-term architecture looks like if the goal is something closer to a self-hosted, searchable audio archive. Are there any good software options?

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u/redthriller097 — 9 days ago