There had been a trend where each new model released from OpenAI, Anthropic, etc. felt like a letdown or worse a downgrade.

But the release of 4.5 break that trend, And is a pleasant surprise on day one.

Well done! :)

The article states the opposite.

> Writing fast algorithmic trading system code is hard. Measuring it properly is even harder.

While I agree with your technical points, the constant criticism seems less about the specifics and more rooted in either a tendency to go after the incredibly successful, or classic tall poppy syndrome [0].

While we can't control how others react, reframing these kinds of posts as an indirect acknowledgment of your work's significance might be a healthier approach.

P.S. Appreciate the LinkedIn connection.

[0] https://en.wikipedia.org/wiki/Tall_poppy_syndrome

> Built for performance we're currently 1000x faster than Neo4j, 100x faster than TigerGraph

Python is really great for quickly developing applications.

However, maintaining them is a real pain point—especially when it comes to packages and their dependencies.

Furthermore, because there isn’t a compile-time checker, function or method signatures can change unnoticed. Compilers are great for catching such issues at compile time rather than at runtime. Python does have mypy, which can play that role, but the package must support it. Currently, you are dependent on the package maintainer regarding their adherence to semver.

Maybe this project will be able to fill that hole.

I found that boilerplate code needed for handling defaults, environment variables, and CLI variables could become unreasonably large and error prone. I just wanted to have a struct hold the settings needed for the project, with sane defaults, helpful messages, and handling of environment and CLI variables at the same time.

So I created Settingo.

Settingo is a unified solution to handle defaults, environment variables, and CLI arguments. Settings are a boring aspect of a project, and Settingo will allow a dev to focus on the project. https://github.com/Attumm/settingo

Seems to answer before fully understanding the requests, and it often gets stuck into loops.

And this update removed the june model which was great, very sad day indeed. I still don't understand why they have to remove a model that is do well received...

Maybe its time to switch again, gemini is making great strides.

Would it be possible to bring back sonnet 2024 June?

That model was the most attentive.

Because we lost that model this release a value loss for me personally.

With that said, would your perception of the interview remain positive if the outcome had been negative?

A common challenge across all interviews is a mismatch in personal dynamics, which can significantly impact the experience for both participants.

Consider a scenario where a senior developer, who prefers simplicity, is paired with a mid-level developer who is still captivated by complexity.

Redis remains my favorite database. I've had the opportunity to work extensively with it, not only professionally but also through open-source projects like redis-dict[0], a Python dictionary with Redis as the backend.

How can we follow your progress on the vector set feature?

[0] https://github.com/Attumm/redis-dict

The food industry, like any other industry, focuses on numbers. Consumer spending favors new varieties of fruit with sweeter taste (e.g., increased glucose/fructose content). This process has led to our current comical situation where fruit, which is perceived as natural, has become unfit for consumption by animals.

>Fruits have gotten too sweet for some animals and zookeepers have had to find alternative foods.

https://weather.com/news/news/2018-10-03-fruit-so-sweet-zoo-...

Although it's not well known benchmarks for programming languages would show even faster results for Go with GOMAXPROCS set to 1.

This lets single-threaded benchmarks run with less overhead.

A real missed opportunity in communication. Because this isn't the first time we see articles like these pop up.

Which in turn would create the filename redis_py.py

Which would immediately raise the question why not a dot.

redis.py

> There are only two hard things in computer science: cache invalidation and naming things.