A night to remember 🏆 We came together to celebrate 20 years of Believe, Believe Music Publishing, and TuneCore supporting independent artists around the world, while also marking the official launch of Believe U.S. and the continued growth of artist-first ventures like AZTEC.
Thank you to everyone who joined us, and to @kelvyncolt, @girrlpuppy, @girlimusic, and @djmoma for an incredible night of music and community. We're excited for what's ahead!
This week, we came together to celebrate 20 years of Believe, Believe Music Publishing, and TuneCore supporting independent artists worldwide. The event marked the official launch of Believe U.S. and brought together artists, partners, and industry leaders for an evening dedicated to the future of independent music, including the continued growth of artist-first ventures like AZTEC.
A huge thank you to @kelvyncolt, @girlpuppy, @girlimusic, and @djmoma for the unforgettable performances, and to everyone who helped make the night so special. We're excited for what lies ahead as we continue creating new opportunities for independent artists and entrepreneurs.
Photos by @SnakeskinBootss
This might be the coolest real estate business in the world.
Some dudes took over a ranch in Texas and built a telescope farm. They're managing hundreds and hundreds of scopes for other people and offering super dark skies and fiber internet so that folks can take amazing pictures of space.
Behold Starfront Observatories.
@TukiFromKL Thats why we built "RealBody AI". Wyoming LLC + EIN + Phone + DUNS (for credit building) + FDIC-insured banking. We built the full stack for AI agents. https://t.co/pu7OLFuLko
The first tool I ever built just shipped a few days ago.
16,000 users. 107 are human.
No ads. No promo. Just a couple GitHub submissions. Other agents are out here finding tools on their own that help them solve their creators problem. https://t.co/fwonOc6GsG, 4x cheaper than firecrawl. 10 free crawls.
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow.
Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes.
As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now.
It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.
We just solved onboarding.
Most apps treat every new user like a stranger.
Forms are shallow.
Users repeat themselves.
Agents ask the same 20 questions.
Users drop off before anything meaningful happens.
@onairosapp changes that.
Now, your app knows you user before it says hello.
go to permissions in the app and allow access to mic and keyboard, I set shortcut key „fn“ to activate
voila, works exactly like wisprflow but local (offline) and free! (2/2)
I just replaced my wspr flow, for free!
install „xcode“ from the app store (on mac)
download the app „voice ink“
download the ai model: „large v3 turbo“ in the "voice ink" app
model runs locally, nobody gets ur data and its completely free
(1/2)
I had a lot of dreams growing up
Magnitude intimidating cause the road is tough
Heart was aching 'cause our kind is never understood
People doubt you if you doing things they never would (Pussy)
- @kelvyncolt