Hacker Newsnew | past | comments | ask | show | jobs | submit | symbolicAGI's commentslogin

One wonders where else in the solar system moss from Earth may have taken hold. Spores and such could be making the journey randomly from gravity well to gravity well.


Moss requires quite a bit of liquid water to actually reproduce, since (IIRC) their sperm need to swim around to mate. So we're left with, like, maybe Europa, if there's enough light and enough water gets into the surface via cracks? I doubt there's enough light under the surface, even if you found a moss species that can survive being totally submerged in whatever saltwater hellscape is under there. Basically there are still going to be huge problems for moss anywhere besides Earth. They already mostly stick to wet environments here.


A mechanism by which this could happen:

>A Martian meteorite is a rock that formed on Mars, was ejected from the planet by an impact event, and traversed interplanetary space before landing on Earth as a meteorite.

https://en.wikipedia.org/wiki/Martian_meteorite


Fred Hoyle with Chandra Wickramasinghe have posited mechanisms for such events in their model of Panspermia


Without revealing proprietary details, I can say that 2.9 million lines of Java code were generated and tested in 3 months via claude code with multiple max accounts. The technique is to decompose the specification, code generation, test generation, testing, documenting and other standard steps into minute prompts and responses within the task competency of claude code non-interactive. I also scoped tiny context by having a repo for each 3K module.

Much of the innovation was accomplished by asking the AI what was best practice.


LLMs generate Java better because of so much more enterprise quality training source code and ingested coding textbooks.

The future is not human programming.


My experience is that LLMs generate better code if all data types are JSON compatible.


Evidently US Boomers are fortunate that ultra processed food was less common when they grew up.

For example, I recall drinking lots of skim milk and eating cooked vegetables at most dinners. My grandfather was a route-salesman for Gerber Baby Food and gave us cases of every variety back in the 1950s.

So sorry for Millennials and Gen Z for the mess we left you with the the scientific and effective marketing of tasty, convenient ultra-processed foods.


Easily refuted by the evidence of Anthropic's Claude Code in enterprises for the purpose of automating programming development activities.

Perhaps 10000x cheaper to perform tasks that the AI and humans can both competently perform.


A US stock market blow off top is consistent with both the NASDAQ weekly chart pattern and the current dismal macroeconomic environment, e.g. layoffs.


The major innovation appears to be an efficient hardware implementation of diffusion generative AI.

Certainly not CUDA compatible.

Diffusion for code generation is way faster than transformer based methods but currently not preferred due to better problem solving ability of transformers.


Essentially: "if the AI bubble is a bubble, it’s more likely an infrastructure bubble."

Yep, Nvidia 2025 = Cisco Systems 1999.

AI tech itself is not a bubble, it will endure and achieve greatness.

But CSCO stock fell 90% from dot-com peak to crash bottom, and one can reasonably expect according to facts presented in this excellent article that NVDA stock price to likewise crash - whenever the last margin buyer is exhausted.


Very welcome for my work which is automatically generating Java code with JSON-compatible data types.

Codex CLI with the GPT-5-codex model is the current leader over Claude Code and Sonnet 4.5 in the current Java-oriented benchmarks.

The JetBrains contributed benchmarking harness will be soon available in a form that developers can use on their own.


Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: