andrewjneumann

Agree. It’s early stages, but I love the approach!

tl;dr right problem, wrong solution.

An essay exploring what happens to human society, economics, and purpose when self-improving AI and advanced robotics eliminate many physical and material constraints.

Happy to have a thoughtful conversation!

Have a bit of a contrarian view on this tl;dr don’t write code for human consumption if you use AI; BUT you have to accept AI coding lock in and change how you work.

Funny enough, discussed this yesterday

Stop Optimizing Code for Humans https://youtube.com/live/eLn4-XA-KdQ?feature=share

They keep writing like they stand to profit from this or something. Too many “coulds” in there for me too, this could be an amazing advancement and it could be nothing… normally we look at data and last headline I saw was 25 “high” vulnerabilities at the cost of $1 million in tokens.

No comparison to human teams, and I’m sure that $1 million in tokens was used by humans, in a team. So like most AI, they’ve developed a tool that capable people can use to be better, but unlike most tools, they’re claiming this to be outright magic. The magic is the hype train.

Google Enterprise accounts are sunsetting AI Ultra in favor of consumption based pricing at the end of the month. It’s unclear how limits for AI Ultra might change for gmail users. Flash3.5 is much better at coding, but also more expensive the pervious flash models.

So much for AI getting cheaper.

It never ceases to amaze me how such poor management can exist, and how such a large company with people who depend on them can simply just not exist overnight. I only did they file for bankruptcy twice, they somehow completely ran out of money overnight?

Well, all the people who had future booked tickets get a refund?

Love to hear any ideas or questions!

Wanted to share some reflections on the surprise success of launching a paid OSS podcasting app on the Apple App Store. Happy to take questions and would love feedback!!

A premium podcast listening experience… with no ads, no tracking, and no subscription required. Full support for iOS/CarPlay/WatchOS including Podcast 2.0 features. Open source: https://yourpods.app/

If you’re operating Google workspace without a well oiled Enterprise behind the scenes, a single admin account is a single point of failure.

I had this happen a couple years ago when I was migrating to a different domain. The only difference was all of the authentication that I supplied Google said was an adequate and I got into some sort of a login loop where Authenticator, SMS, DNS record nor pass key would provide enough authentication for me to get in.

I got the automated got bought to finally send me the mythical form, after completing that I was told that they were unable to authenticate me further. I ended up emailing their support multiple times and threatening lawsuits multiple times when I got a magic call from a human at Google. They also sent me the link that put me into a login loop however after chatting with them for nearly an hour I got a different magic login link form which appeared to work.

GitHub - Fork of signal-mcp to enable "lunch time mode" to interact with Google Antigravity while away from your desk via Signal. Not intended to be a background agent or continues worker. Chatting 'Lunch Time' or /lunchtime will enter agent into lunchtime mode to watch for signal messages and work on the responses.

Discussion starts at 06:30 - Treating neurological conditions with open-source TDCS.

GitHub repository: https://github.com/nathanfu88/opentdcs

The future isn't just written in code; it's wired in hardware. But what happens when you combine open-source philosophy with neurological treatment? In this episode, Nathan unveils his latest project: a low-cost, open-source Transcranial Direct Current Stimulation (TDCS) device designed to treat conditions like depression and anxiety. We explore how standardizing the hardware and software for these devices can help facilitate clinical trials and solve the massive accessibility gap in mental health care. We also dive into the messy reality of physical product development. From the challenges of sourcing components in an AI-dominated supply chain to the nuances of choosing an Apache license for open-source hardware, we break down what it actually takes to bring a medical hardware concept to life. You will learn why multidisciplinary feedback is absolutely crucial during the sticky "middle phase" of execution, and how this simple circuit could democratize treatment.

Minimalist Podcast player with gPodder sync focused on iOS ecosystem. (WatchOS/CarPlay/AirPlay). YourPods is a gPodder-compatible, privacy-first, and self-hosted podcast player. Sync your subscriptions and listening progress across all your devices using your own Nextcloud server, manage multiple profiles, and keep your data 100% yours. https://github.com/asecretcompany/yourpods-source

We strip away the doomerism to look at the mechanics of the transition. We explore why generating a compiler isn't the same as maintaining a product, why "vibe coding" fails at scale, and why we might be hitting the diminishing returns of LLM scaling laws. The era of writing syntax is ending, replaced by an era of systems architecture, context engineering, and high-level judgment.

Should also note, every submission has been approved the first time (4/4) without rejection. Which, for App Store submissions, is incredible.

At minimum, I’d suggest having AI do a run-through prior to submission to suggest bug fixes and improvements.

Submission took ~36hrs for approval, however it was approved without issue on the first submission.

Andrew built a revenue-generating iOS app in six hours without writing a single line of code himself. The era of the "coder" is being replaced by the era of the "AI Manager." We deconstruct the exact workflow used to bypass weeks of development, exploring why the barrier to entry has vanished and why "judgment" is the only moat left. Stop prompting and start shipping.

Gravity is a constraint—both for manufacturing and for your mindset. In this episode, we dismantle the physics of innovation, exploring why the next generation of computer chips must be built in space to survive. We also ground this futuristic vision in the practical tools you need today, breaking down Google’s Antigravity IDE and why the shift from “coder” to “architect” is the only way to survive the AI boom. Stop planning your year; start engineering your workflow.

Clips:

Art: https://youtu.be/SA7uCBGWiis

Science: https://youtu.be/C1HqFsvClDc

Tech: https://youtu.be/w4lJeGglLgg

The digital landscape of 2025 was defined by a paradox: vanishing barriers to entry but exponential barriers to attention.

Andrew and Nathan to explore why the Practitioner Economy will dominate the next twelve months. We dive deep into three critical shifts:

-Artistic Individualism: Why the "AI slop" wave is triggering a retreat into "smart niches" and original IP.

-Scientific Friction: The widening gap between breakthrough research, such as Alzheimer’s reversal, and a public psyche defined by mistrust.

-The Tech ROI Reckoning: Why we predict a major Fortune 100 player will finally call bullsh-t on massive AI investments that lack clear returns.