nitroedge

nice anti-ai article which made me disconnect with reailty but take the anti-ai pill for a trip

Couldn't see this in the article, does it support API calls for one-shot conversation type responses like ElevenLabs offers?

$0.50 per hour pricing could last a long time with back and forth conversation use.

to give as a Christmas gift

I think you can see the Democrats all starting new committees and prepping bills and big AI is betting that Democrats will be in power soon. Too late IMO and won't make a difference.

Is the voice support now really as good as you describe?

is this what we have become

why not re-apply with just a new email account instead of using the old email they banned?

I tried Claude Design yesterday and fed it the UI of an app I am working on and what I had created already. I asked it to mock up 6 new "layout skins" using different colors, different icon and button placements, different vibes and it churned out 6 good designs with hi-res images plus Claude Code instructions and the ZIP file to boot. Didn't hit the usage, took about an hour. Did a really good overall and I liked the process and thinking structure and question asking.

that runs on a local model and looks better than Opus

I couldnt find his last 20 years of posts, Youtube channel I found tho.

"I have been pouring my heart and soul out on this blog for almost two decades. If you enjoy reading it, please consider supporting my efforts."

search up claude-hud for the status bar options

in the Claude Code realm I use GSD and it manages all that and keeps token use low. Plus it writes to a file so memory is stored so I can type /clear and the token count resets yet it still can remember where I left off for the next work. Check it out here:

https://github.com/gsd-build/get-shit-done

Its where it rains all the time and we are north of Seattle (our fellow grey weather neighbors)

Often times on fal.ai I'm trying a new text to image model and I just get an error. I try again, fail, try again and it works. Sad seeing it take $0.05 and give me an error but most of the time I pull the one-armed bandit again.

if you sandbox it and just address the main security issues (and don't mention prompt injection because its not like every LLM doesn't suffer from that vulnerability), OpenClaw can be fun to tinker with. The whole sky-is-falling mainstream media message is boring, look inside it and you simply be smart and responsible and you can enjoy it

Handy for me has worked wonders

i added a comment about GSD here and it was nice to see yours too... I'm just a user of GSD but boy has it changed the context rot I used to experience and the system is just one-shotting everything I ask from basic to complex and finally being able to handle stuff and not make things up and mess stuff up (or go in circles)...

You should try out the GSD system, check "GSD github repo"... it will launch everything as a phase and steps and clear context for you so you never compact, and tons of other features...

I agree, faster tasks means more tasks, more tasks means more balls to juggle at once. The machine keeps going brrrr.

You should check out the PAL MCP and then also use this process, its super solid: https://github.com/glittercowboy/get-shit-done

The way "Phases" are handled is incredible with research then planning, then execution and no context rot because behind the scenes everything is being saved in a State.md file...

I'm on Phase 41 of my own project and the reliability and almost absence of any error is amazing. Investigate and see if its a fit for you. The PAL MCP you can setup to have Gemini with its large context review what Claude codes.

If the context window is managed properly that offsets almost all these "random drill holes", I see so many people just filling up the buffer and then compacting and complaining. With ambitious huge task requests and not having any form of system that breaks a job into multiple mini tasks.

Context rot is real and people who complain about AI's hallucinating and running random wild, I don't see it when the context window is managed properly.

For better lip sync you could try using rhubarb to extract from the mp3. What is your backend speech processor so you can get the real-time streaming response? Rhubarb would add a bit of latency for sure.

Really cool, which backend AI model is it using? Does it have memory in the background too so it will remember session to session?

Isn't this just like Dreamweaver back in the day for people who couldn't read HTML it became WYSIWYG for them?

really awesome, going to leave it running in a tab probably til 2026

A React Three Fiber-based avatar engine with speech synthesis, voice automation, and real-time interaction with tools such as Home Assistant, n8n, and LLMs.

I really like both Dictation Daddy and Wispr Flow

no demo link or screenshots in the Github readme? OpenAI surely could have had their marketing department create something quick?

He is referring the M5 Atom's I believe. I strongly recommend the ESP32 S3 box now, you can fire up Bobbas special firmware for it, search on Github, and its a blast with Home Assistant.

Spent an hour trying to get it running with a RTX 50 series, no luck, tried with PyTorch 2.7.

Seems built for 2.6.

"chatterbox-tts 0.1.2 requires torch==2.6.0, but you have torch 2.7.0+cu128 which is incompatible. chatterbox-tts 0.1.2 requires torchaudio==2.6.0, but you have torchaudio 2.7.0+cu128 which is incompatible."