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Gardening automation :-D


If a friend told me they liked Rust but didn't like the borrow checker, I'd probably point them to Gleam and Moonbit, which both seem awesome in their own niches.

Both have rust-like flavor and neither has a borrow checker.


Someone should create a DAG of programming languages with edges denoting contextual influence and changes in design and philosophy, such that every time a PL is critized for a feature (or lack thereof), the relevant alternatives exactly considering this would be readily available. It could even have a great interactive visualization.


I can't really get over Gleam's position that nobody really needs type-based polymorphism, real programmers write their own vtables by hand.

(It also needs some kind of reflection-like thing, either compile-time or runtime, so that there can be an equivalent of Rust's Serde, but at least they admit that that needs doing.)


SEEKING WORK Huntsville AL USA, remote work preferred

Get more done, better, and in less time.

I help companies automate critical workflows, helping them accomplish their work more quickly, reliably, enjoyably, and correctly.

All the most useful techniques are on the table including task analysis and evaluation, traditional coding, and ai.

[email protected]


One of my favorites (only great if you read the site contents):

https://how.rl.works


Assuming this references Reinforcement Learning? If so... valid


SEEKING WORK | REMOTE | U.S. or Canada (Located in the Huntsville AL area.)

Automate business processes. Get more done, more accurately, faster, and less painfully.

PhD in laser physics / quantum optics, startup veteran, 15 years of experience in automating systems from laser control using real time video analysis to email and spreadsheet ingestion and routing.

https://github.com/dhbradshaw

Preferred tools: user interviews, systems analysis, documentation, rust, python, typescript, postgres, aws, local llms, evals and testing.

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Great for space


Quote:

The Gemma 3 models are trained with distillation and achieve superior performance to Gemma 2 for both pre-trained and instruction finetuned versions. In particular, our novel post-training recipe significantly improves the math, chat, instruction-following and multilingual abilities, making Gemma3- 4B-IT competitive with Gemma2-27B-IT and Gemma3-27B-IT comparable to Gemini-1.5-Pro across benchmarks. We release all our models to the community.

Really cool


The more leverage a piece of code has, the more good or damage it can do.

The more constraints we can place on its behavior, the harder it is to mess up.

If it's riskier code, constrain it more with better typing, testing, design, and analysis.

Constraints are to errors (including hallucinations) as water is to fire.


Interesting to see this coming out of Apple


This is really cool -- going to show it off to my team. I love the fact that you opened it up so that it will work with Jupyter notebooks as well.


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