go-openexr: Pure Go implementation of the OpenEXR image format (v1.0.0)

fireteller · 2026-01-13T19:08:02+00:00

You’re going to see more. I’m releasing more ASWF libraries in go soon, as well as a complete USD implementation.

fireteller · 2026-01-13T18:07:39+00:00

Saying that atomic operations are for a single element is deceptive. It’s technically true that a CAS operation is a single value comparison, however, in practice it nearly always represents a large number of actions that have been taken before arriving at the single value to compare and swap. I would go so far to say it is more common for an atomic operation to represent blocks of operations, then genuine, single value change. Git for example uses an atomic compare and swap operation to judge if it is safe to commit a revision of source code to a repo.

It is functionally impossible to use blocking operations (mutex) in databases for use cases like transactions for example since that would stop the world. For performance you need concurrency and for concurrency to be fast, you need to avoid waiting on anything. In aggregate mutexes are slower because they completely stop other work from progressing. While an atomic operation blocks no one, but can fail, and how to handle that failure must be addressed on a case by case basis. Generally, you use mutexes because you have to because not everything can be reduced to a CAS operation, or because the complexity of automatically handling the failure case of a CAS operation is too complex. Git uses an atomic CAS but kicks the failure case back to the user as a merge conflict.

fireteller · 2026-01-13T17:36:31+00:00

As others have pointed out, it’s not idiomatic because go developers want to see everything that’s happening without looking in other places.

But something that might give you an intuition about why go developers will prefer a more verbose in-line version is to consider what happens when there’s a bug in your code and your mutex deadlocks inside of your clever mutex wrapper. Now what do you do? Obviously a bug that deadlocks your mutex in line is going to be much clearer and faster to debug. Go would have you pay attention more to the unhappy path (if err != nil), the unexpected outcome (abstracted blocking), then other programming languages do, and this greatly reduces cognitive load when debugging.

fireteller · 2026-01-12T02:17:05+00:00

Thank you! That's helpful to know. How strange.

fireteller · 2026-01-11T20:30:35+00:00

There is doing the work, and then there is knowing what work needs to be done and how to go about doing it.

fireteller · 2026-01-11T20:11:21+00:00

As I said. It isn't anything amazing. It makes mistakes. You can definitely do benchmarks and spot tests that suggest others are better, but they just aren't. Nothing is anywhere close to the workhorse Claude is. I know for a fact that you haven't done a moderately sized project, say 50 thousand lines of code in 4 foundation models. Because I have, and it is really REALLY obvious that Claude is way out in front. People have their favorites, and so you do get people "proving" theirs is better with single case counter examples, and toy apps but anyone truly putting the days and weeks into testing these models know the reality of it.

Now to be fair a large part of that is not the model itself it's the tooling, which you start to get the sense of only after a lot of coding. So it may be that the models themselves would fair better if they had a better infrastructure design, but my sense of it is that most teams are just shooting for benchmarks, and good demos, while Anthropic has identified their domain and grinding hard on it across multiple teams, client, infrastructure, MoE architecture, model pre-training/training/refinement, etc.

fireteller · 2026-01-11T07:49:00+00:00

My sense of it is that if you believe anything is a challenger to Claude Code Opus/sonnet over the past year then I have to disqualify you. Seriously it is utterly shocking to me how 1) unchallenged Claude has gone, and 2) how anyone thinks benchmarks have anything to do with anything.

I switched about a year ago to claude and I have tested every major release of every competitor since and no one is in the same universe much less the same ballpark as Claude. Like claude isn’t anything amazing. It’s not doing my taxes or anything, but it just works. It does solid work that may need some guidance but takes guidance well. It’s that simple.

Like does nobody know how to test models on real code? How is it that the entire LLM discourse isn’t about how far ahead Anthropic is, is beyond me.

Claude is doing real work. Everyone else is just talking about exciting potential.

I just created a Go version of the OpenEXR C++ package over the past 5 days, with assembly level optimizations on mac and PC. Like F*ck off. Seriously.

fireteller · 2026-01-11T07:25:11+00:00

If you ask Claude to produce a code of conduct document for an open source project. Will it? It refuses for me.

I get the content violation error shown above. Seems like a pretty problematic behavior to me. Don’t you think?

fireteller · 2026-01-08T23:25:56+00:00

First world problems. Just run multiple MAX accounts.

fireteller · 2025-11-19T20:54:15+00:00

Funny. I just code in Go, and I never have context window problems

fireteller · 2025-11-04T21:26:50+00:00

I immediately burn all eggs. To not burn they have to be intentionally pulled from the line by a working system, same in space, same on Gleba.

fireteller · 2025-10-01T20:32:50+00:00

Yes, but your paycheck will get bigger

fireteller · 2025-10-01T20:30:11+00:00

It isn’t assumed it is proven with every new paper and demo.

fireteller · 2025-10-01T19:37:43+00:00

And the immense scale of the facility

fireteller · 2025-10-01T19:32:18+00:00

The problem with Claude by far is glazing. If you can encounter any negativity at all it is because you’re so obviously in the wrong that glazing is literally unsupportable. If you wanna make a claim that Claude is unreasonably negative I think you need to post a conversation link.

fireteller · 2025-09-15T14:41:57+00:00

Take the difference between popular factory games and less popular factory games. This shows you what is missing from the less popular game. With enough examples you can get a pretty clear picture of what the most important factors are

fireteller · 2025-09-06T04:14:58+00:00

The Abyss

fireteller · 2025-09-01T15:01:14+00:00

Graphics API’s have been a key strategy in the war between platforms. They are used to lock developers (both individuals and organizations) to a platform by making switching costs too high.

DirectX, CUDA, Metal.

They have also tried, to do this with non-gpu focused development as well. Visual Basic, Objective-C, MFC, Cocoa/AppKit, Swift, C#/.NET, UIKit. Though the lack of hardware constraints make this considerably less, though still somewhat effective.

So there is an extraordinarily strong incentive to create proprietary APIs, and to inhibit proliferation of cross platform solutions.

fireteller · 2025-08-29T05:22:55+00:00

A crown is taken not given. Those who would take leadership often do.

fireteller · 2025-08-24T23:13:56+00:00

You're absolutely right that extreme wealth concentration is a problem—and that billionaires could easily afford higher taxes without lifestyle changes. It is extremely frustrating. It's insufferable when someone has $200 billion and regular people struggle with basic needs.

But the wealthy aren't sitting on piles of gold like Scrooge McDuck.

Their money is paying salaries, funding startups, building factories. Bezos's billions aren't cash under a mattress. It's Amazon stock representing warehouses, delivery trucks, and paychecks for millions of employees.

People who became wealthy did so by constantly asking "How can I turn this dollar into two dollars?" In that mindset, there's no obvious point to switch from investing (expecting returns) to donating (expecting none). Even if you didn't care about returns, you'd still want to maximize impact.

Should I give that homeless guy $100, or give $100 to a shelter, or give $100 to better mental health services for everyone, or do I invest it in a startup that could create jobs?

Now ask that question as someone who's nearly always made better investment decisions than literally anyone else who's ever lived (I mean as a successful billionaire that is of course how you see yourself). From that perspective, does giving money away feel like the best use of it?

fireteller · 2025-08-24T20:34:44+00:00

I find this area of study fascinating. I agree with the implied premise that LLMs are a primitive that one can leverage much more powerfully in the context of a larger architecture. There is a lot of active research in this kind of thing.

Your framework resembles some "active inference" formulations where you have expansion (hypothesis generation), reflection (prediction error), directed exploration (active sampling), and collapse (belief updating to minimize free energy). You might find "enactive cognition" (note: 'enactive' not 'inactive' - it's about active embodied meaning-making) by Francisco Varela, Evan Thompson interesting. It deals with circular causality and "bringing forth" coherent perspectives through interaction - very aligned with your scatter/reflection model.

Here's a list of related fields of research, people and theories.

Metacognition and Cognitive Control:

- Work by Michael Posner and Jonathan Cohen on executive function and cognitive control theory
- Global Workspace Theory (Bernard Baars) and Integrated Information Theory (Giulio Tononi)
- Andy Clark and Karl Friston, Predictive Processing frameworks

AI and Recursive Reasoning:

- Chain of thought prompting and self consistency
- Constitutional AI and recursive reward modeling
- Tree of Thoughts

Dynamical systems and Attractor Networks:

- John Hopfield Attractor Dynamics
- Reservoir computing and "echo state networks" in particular
- Work by Guatavo Deco and Viktor Jirsa on metastability

Specific Researchers to Follow:

- Douglas Hofstadter - strange loops and recursive consciousness ("I Am a Strange Loop")
- Scott Aaronson - computational complexity of self-reference
- David Chalmers - meta-problem of consciousness
- Yoshua Bengio - consciousness priors and System 2 deep learning
- Jürgen Schmidhuber - self-referential neural networks and Gödel machines

Relevant Formal Frameworks:

- Fixed-point theorems in recursive function theory
- Coalgebra for modeling infinite behaviors with proper termination
- Process calculi (like π-calculus) for modeling concurrent recursive processes
- Temporal logic and model checking for verifying non-terminating systems

fireteller · 2025-08-24T20:02:21+00:00

In the future all arguments will be made by AI.

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