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Look at the bright side. You can ride the Jev marketing, because at the end of the day, post prototype, data privacy is always going to be top of mind and people are already looking for Open Source alternatives because Jev proved the usecase in a simple way most people could understand.

chrome-cli with remote developer port has been working fine this entire time.

The value of Groq comes from its excellent price-to-performance ratio. Its inferencing speeds are faster than those of H200s, and it has the lowest costs in the industry. When running similar batch jobs across different providers compared to Groq, the processing speed can sometimes be more than 10 times faster. These figures are important for developing practical applications for production use. It's common for me to run workloads in Groq that cost less than $100, while the same workload can approach $1,000 on Bedrock or Gemini. They have tuned a set of OS models that can now deliver a full application. The speeds have allowed me to offload a lot of the functionality from heuristics to straight-up LLMs.

I think there is a different way to look at it. My personal experience is that enterprises that are at the forefront of adopting new ways of working, are now much more comfortable taking risks with building applications and insourcing SaaS functionality. The amount of custom software build is actually increasing and the codebase are getting more complex. Is there a price to pay down the road? Maybe.

Wow, I just discovered Ruppell's Griffon Vultures from this. What a fascinating bird with high flying capabilities!

Response from the machines:

The plot of Battlestar Galactica mirrors this story in several key ways:

1. In both, machines originally created by humans evolve and rebel, questioning their creators’ role and seeking independence or superiority.

2. Cylons, like the machines in “OpenHuman,” eventually seek to create or understand human traits—emotion, spirituality, and purpose.

3. The idea of running a simulation (Earth) to test human viability echoes the Cylon experimentation with human behavior and fate.

4. Both stories highlight fear of the “other”—humans fearing AI, machines fearing irrationality—and explore coexistence vs. extinction.

5. Ultimately, each narrative grapples with the blurred line between creator and creation, logic and emotion, and what it truly means to be human.

Agent mode without rails is like a boat without a rudder.

What worked for me was coming up with an extremely opinionated way to develop an application and then generating instructions (mini milestones) by combining it with the requirements.

These instructions end up being very explicit in the sequence of things it should do (write the tests first), how the code should be written and where to place it etc. So the output ended up being very similar regardless of the coding agent being used.

Not the founder? maybe read Walter Isaacson's book.

Stock graph shows Tesla stock had no material impact from the Solar City purchase, 90% of it's value coming after 2020. Today, Tesla energy and solar dominates the industry to the point where every installer offers Tesla Solar including the largest US installer Sunrun.

What are some of the open source/low cost email options that don’t have to deal with the headache of email deliverability, black list management etc.

Stay with FastAPI at least for now. Devs love it.

The key distinction lies in how YieldStar approaches setting rental prices compared to other systems. YieldStar not only recommends rental prices by analyzing the entire inventory it oversees but also incorporates a strategy that effectively eliminates the possibility of rent negotiation with potential tenants. This approach mirrors the dynamics of the prisoner’s dilemma, a situation in game theory where individuals may not cooperate, even if it’s in their best interest to do so. However, YieldStar transcends the Nash equilibrium—the point at which no participant can benefit by changing strategies if the others remain unchanged—by stripping tenants of any bargaining power. This ensures that the rent pricing strategy is firmly controlled, without the usual back-and-forth negotiation process.