u/Terrible_Signature78

i’ve been juggling a bunch of client calls across Zoom and Google Meet, and honestly my notes are everywhere. native AI summaries are all over the place—host-only restrictions, different clouds for Zoom vs Google Meet, and then my own recordings folder on top of that. finding who said what in a meeting from last week can be a full afternoon project.

the trickiest part is speaker labeling. most basic tools treat a multi-person call as a single text blob, so the summaries end up messy or even completely wrong because the software doesn’t know who committed to what. it’s frustrating when you need accurate action items.

what’s been working better for me lately is moving everything into a single dashboard like Vocova. whether it’s a Zoom mp4 or a Meet cloud link, uploading everything in one place keeps the speaker identification consistent and avoids host-only limitations. not perfect, but it saves so much time compared to bouncing between multiple platforms. curious how others are handling their meeting archives—live bots that join calls or manual processing afterward?

deepseek is so good now holy sh*t.I used to use it back in2024, but went with chatgpt and grok and then only grok for full help,right now grok is locked behind a paywall lel and they always seemed to cost more for the relative performance,and produced shit tons of thinking tokens even compared with everyone else at max thinking.but deepseek now seems to be so much better,I was so suprised while doing my stuff with acciowork and suddenly getting huge speed increase. They are definitely doing something, it's like x2-x3 speed change for me.V4 they're changing the backend maybe because It's much faster right now, even with 1M context Length, it generates so fast at almost 65/tokens per second for me.its really good I take back my past comments about it im coming back to it ngl.

me when someone disrespects LE DEEPSEEK no one!lol

Been noticing something interesting lately with AI search.

A year ago most SEO conversations were basically:
“How do we rank higher?”

Now I keep hearing:
“How do we show up in ChatGPT?”
or
“Why is Perplexity mentioning competitors instead of us?”

Feels like discovery behavior is shifting faster than most people expected.

What’s interesting though is that the sites I keep seeing mentioned in AI answers usually already have pretty solid SEO foundations.

Strong topical coverage, decent authority, clear structure, active discussions around the brand, etc.

So I don’t really buy the idea that AEO replaces SEO.

If anything, it feels more like an extension of it.

What does seem different is the type of content AI systems prefer surfacing.

A few things I’ve personally noticed helping:

• pages that answer questions immediately
• short sections under clear headings
• conversational writing instead of overly “SEO” copy
• multiple articles around the same topic/entity
• strong internal linking
• mentions/discussions outside your own site

One thing that surprised me:
some pages getting cited in AI answers weren’t even ranking #1 organically.

Sometimes they just explained the topic more clearly.

Also feels like the tooling side of this is still very early.

A lot of platforms can track prompts, mentions, or citations to some extent, but attribution still feels messy.

Like:

why did one brand get cited over another?

how stable are results?

does AI visibility actually convert into revenue?

how much traffic is really coming from these systems?

Feels like everyone’s still figuring that part out in real time.

Curious what others are seeing.

Anyone here actually getting measurable leads or conversions from AI search yet?

Or is it still mostly experimentation/impressions for now?

ESP32 boards are great for sensors and simple HA/MQTT panels, but they get awkward once you want a real display or anything camera/image-related.

Has anyone here used something more HMI-focused for a small homelab dashboard/control panel?

I came across Tuya’s T5 chip and TuyaOpen recently. What caught my eye was the display/image side: RGB/8080 display interfaces, DVP, JPEG hardware codec, H.264 encoder, etc.

Does that kind of hardware actually help for a tiny wall panel, or is the sane answer still “ESP32 for simple stuff, old tablet if you need a UI, keep the logic on the server”?

Curious if anyone has tried this and regretted it.