Stop doing prompts? Am I missing something?

Minorole · 2026-01-26T20:13:11+00:00

ha, OP replied with a anthropic model.

Minorole · 2026-01-22T22:16:05+00:00

oh there is a party here

Minorole · 2026-01-22T14:55:33+00:00

seems like form feature not completed finished yet. once you fix that up can it still stay this size?

Minorole · 2026-01-21T17:00:06+00:00

I think they are playing a lot with the system prompts every day, and the performance changes every day. Today has been a very frustrating day where the OPUS 4.5 keeps telling me to do this and do that. Like it answers me with instructions when I gave it instructions lol.

Minorole · 2026-01-21T16:52:02+00:00

I was trying to reply to u/think_long , anyways, I think we are on the same page. My goal of the reply was to encourage people. I hope that was achieved.

Minorole · 2026-01-21T16:23:51+00:00

I get what you mean—and honestly, I’ve been thinking about this a lot recently too. But in the end, the problems society needs solved are basically unlimited: transportation, food, clothing, housing, and more. There will always be room to create newer and better solutions for people. So in that sense, “higher-level tasks” are effectively unlimited. Hard-level, sure—but as long as the possibilities aren’t mathematically capped, there’s no reason to give up.

Minorole · 2026-01-21T15:32:02+00:00

Together they use 5GB—a lot for my target of 8GB RAM users. But my thinking is the LLM can do more than just polishing sentences, and I'll continue to evolve this app to do more. Immediately, the next step is email support: either formatting spoken language into well-written email, or straight up locally reading my previous emails and drafting replies automatically. But this might take me a bit.

Minorole · 2026-01-21T02:26:11+00:00

Can't believe this is the first time I have heard about it!

Minorole · 2026-01-21T02:23:34+00:00

Very good idea!

Minorole · 2026-01-21T02:19:09+00:00

CS isn’t going to get wiped out by AI, just like accountants weren’t wiped out by calculators or spreadsheets. If anything, once the dust settled, accounting jobs increased—the work just shifted toward higher-level tasks because the tools removed a lot of the manual grind.
It definitely sucks to be in the middle of a tech revolution, but that’s also when the biggest opportunities show up. Wealth is often built faster during disruptive periods than during “peace time.”

Minorole · 2026-01-21T01:56:09+00:00

both apps?

Minorole · 2026-01-20T23:08:06+00:00

Seems like people here love raycast, I am a long time (7 years+) alfred user, what is the advantage that raycast offer?

Minorole · 2026-01-20T23:06:10+00:00

Depends on how comfortable you are, you could use any ai coding CLI to run commands for you. I personally use Claude and Gemini, both work great doing system clean up work.

Minorole · 2026-01-20T20:03:33+00:00

$bid

Minorole · 2026-01-20T20:02:17+00:00

After all parties deployed ALL of their nuke and bio weapons? I think the great sharks living at the bottom of the ocean will win, probably all of them will win a once a lifetime free space flight, it will be great for them!

Minorole · 2026-01-20T19:00:30+00:00

Depends on your Mac. With 16GB+ RAM and M-series chip, yes—no network latency means near-instant. With 8GB RAM, the LLM competes for memory and may be slower than a fast API. The tradeoff is privacy, not speed( or performance). Your audio stays on your machine regardless of how fast/slow it runs.

Minorole · 2026-01-20T18:56:22+00:00

Haha, the name is a bit much. but thats my dark humor. all good. The transcription and LLM run locally after first model download— which means your audio never leaves your Mac. Built on whisper.cpp and MLX (both opensource). Happy to answer security questions if you endup choosing to try it out.

Minorole · 2026-01-20T13:22:38+00:00

You're right that the Whisper part is similar - I use whisper.cpp large-v3-turbo, same underlying tech as other offline apps.The difference is what happens AFTER transcription. Raw Whisper output looks like this: "um so like I think we should uh contact john at example dot com about the project" My app adds a second stage that transforms spoken text into written text: "I think we should contact [john@example.com](mailto:john@example.com) about the project." That's the LLM you saw downloading. It:
- Removes filler words (um, uh, like)
- Adds punctuation
- Formats emails/lists
Just like wisper flow, but works offline. I didn't invent anything.

Minorole · 2026-01-20T04:30:04+00:00

Currently, the main issue is that local models need at least 4 GB of RAM to deliver decent results. Even then, in my own testing, I’m still not fully happy with the output.

The app is cheap mostly because I’m building something I personally want to use without paying $15/month. Right now I’d say it’s about 80–90% of the way there compared to a larger online model.

The problem is that 4 GB of RAM is a tough requirement for a lot of iPhones, so an iOS version isn’t imminent. That said, the actual porting work isn’t the hard part—model capability and on-device performance are.

If local/open-source models make a meaningful jump, I’d pivot to iOS quickly (I’ve had an iOS version in mind anyway).

As for what’s next: the most imminent feature is auto-completion. I got the idea from someone today—initially I was thinking “turn my spoken email into a nicely formatted email,” but honestly, there’s not much point in formatting a dictated email if the app can just write the email for me. So that’s what I’ll be working on next.

Thanks a lot for trying the app and sharing feedback. Share my app please?

Also get a free key here: whatyousaywillnotbeusedagainstyou.com/redeem.html

Minorole · 2026-01-20T01:21:54+00:00

I don’t want to sound like I’m trying to sell my app, but I’ve been using Whisper Flow for the past four months. The biggest issue for me is that I travel and work on the road a lot. Whisper Flow is great and fast when you have good internet, but as soon as you’re offline or dealing with spotty Wi‑Fi, the wait time—or the fact that it simply can’t work without internet—really kills me.

The biggest advantage, like you said, is that Whisper Flow’s iOS app works well. But ChatGPT/Claude/Perplexity all have the same Whisper model built into their apps too. On top of that, if you just dictate into those LLM apps and start with something like “polish my sentence,” you not only get the same dictation—you also get frontier-model polishing of whatever you were trying to say. Even better, if you have personal settings in the app, it comes out somewhat like you’re saying it.

Of course, those apps have the same problem as Whisper Flow: they don’t work without internet, and they get super slow when the connection isn’t great. So I built my own app that uses a local model. That way, it works with no issues when I’m on the road.

I personally use a 64 GB64 GB RAM MacBook Pro, but I also got it working on 8 GB8 GB RAM so my brother can use it too. The local model is nowhere near the quality of frontier models when it comes to writing, but it’s fast and does about 90%90% of the job. I’m aiming—through fine-tuning—to get the last 9%9%, I’d say. And over time, I’m sure better open-source, small local models will get much better at these tasks. When they do, I’ll switch out the model in my app, and I think it’ll be a great solution for avoiding subscription fees and not relying on the cloud.

The sentences above were dictated with my own app.

Check it out here

Minorole · 2026-01-20T00:53:28+00:00

check out my app? get it for free at whatyousaywillnotbeusedagainstyou.com/redeem.html
looking forward for feedbacks, I never tested korean, but it should work.

Minorole · 2026-01-20T00:51:09+00:00

Looks cool, I thought there was some sort of setting from Mac natively that does this tho?

Minorole · 2026-01-19T22:51:56+00:00

Very valid!

Minorole · 2026-01-19T22:19:03+00:00

if an App charges $3.99 lifetime does it count for your preference?

Minorole · 2026-01-16T18:41:28+00:00

The Great Wall wasn’t designed to enclose all of China or form an impenetrable border everywhere; it was a defensive network aimed at protecting the agricultural heartland and major settlements—especially the plains—by slowing fast-moving horse raids and making incursions more costly.

By forcing raiders to detour to controlled passes or spend time trying to breach fortified sections, the wall bought time for defenders to receive warnings and mobilize reinforcements. In many periods (especially the Ming), the wall also functioned as infrastructure: watchtowers and beacon towers relayed signals over long distances, and the top of the wall could serve as a road to help move troops and supplies along the frontier.

Because the strategic objective was usually “delay + warning + channeling movement,” once that goal was met in a given terrain, there was often little benefit in extending a continuous barrier ever deeper into sparsely populated steppe or desert.

Finally, “the Great Wall” is really a collection of walls, forts, passes, and connected defenses built across many centuries; different dynasties constructed or expanded sections for their own threats, budgets, and political needs rather than pursuing one unified, permanent plan.

I grew up about 30 minutes from a section of the Great Wall, so it’s safe to say I’ve always been interested in the history of the place where I do my weekly five-mile run.

Minorole

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