iagooar

My kids less than 10yo both, each have already created their first video game through prompting. It is actually pretty amazing to watch them explore their creativity - and how they interact with AI is fun too. The younger one always starts with "Dear AI, I want you to..."

If the progression of AI continues, we might actually have LLMs re-create games from scratch just through watching them. They can already createe pretty accurate games from memory, imagine what happens if they get 10x as intelligent and capable.

It's exciting and kind of scary.

A few years ago I hurt one of my shoulders pretty badly, so I could barely move and had to sleep in a sitting / reclined position for almost a week. No keyboards, no computers.

Boy oh boy did that LotR premium extended something-something edition on DVD turn out to be a godsend with the countless hours of behind the scenes footage and interviews, and director's commentary. I watched it all.

I wonder how the industry has not yet learned to use ASD-STE100 Simple Technical English for documentation. It makes it so much more polished and so much less AI-sloppy.

Not my experience at all.

As much as I love my CLI tools, I just cannot go back to not having native built-in browser integration, links, etc which the (Mac) desktop apps like ChatGPT or Claude offer.

I do use Hermes sometimes, but it tends to keep growing skills and overhead over time, to the point it is becoming utterly slow and sluggish. The Desktop experience itself seems vibecoded without taste, in contrast to the core of Hermes, which is solid.

I wonder if there is an agent harness that has the strengths of Pi, but in a native Mac desktop app packaging?

I am also seeing slower speeds, roughly the same ballpark, sometimes even lower - 10-11 tok/s on M5 Max. If there is that ONE version (GGUF or MLX) that runs roughly as fast as 3.6 used to run, please let me know.

What would be incredible is the 3.8 35B MoE version too, I can run 3.6 with 60 tok/s which is a really, really nice speed.

My observation is that people who are smart (or think they are) tend to express themselves via trying to be overly correct - on everything. And that gets exhausting.

People who try to be too precise and accurate, pay it with their happiness and peace. There is no better therapy than bullshitting with friends, just rolling with it instead of trying to make it all 100% perfectly accurate.

10 years. I still have the game in my Steam library, waiting for me to try it.

I guess I will never try it, once you hit your 40s, games lose their appeal anyway.

I am working on a framework that allows creating very complex SaaS products with AI, that actually work. Very complex = +100k LOC of one-shotted AI-generated code. Codename o2p - outcome-to-proof.

It is a research-first method for designing or reviewing SaaS products. Its central question is: What customer outcome matters, and what evidence proves that the product delivers it?

Idea or existing product → Research real customers and current work → Identify their Jobs to Be Done → Design the minimum safe workflow, define the interface and system behavior (with a sophisticated scoring system) → Validate the workflow → Implement vertical slices → Observe proof of customer progress

I love DeepSeek V4 Flash since the pre-0731, now even more. It is the first model that is truly too cheap to meter.

But I find it having a pretty significant problem with tool calling - no idea why, but tool calling with it is SLOW. As long as the model is reasoning, all good. But give it a bunch of tools and it becomes extremely slow.

Am I the only one experiencing this?

Not sure I agree. It might sound like theater if you expect it to solve your security issues. But it is extremely good at finding undocumented or broken processes - these processes tend to hide the biggest offenders.

So far every single test I've done has worked correctly, I put a lot of work and time into preparation and planning, each workflow was designed, researched and optimized before implementation. The specification was already a massive document, so it is not a one-shot by no means.

I might check it and if it turns out to just be extremely bloated, I will re-write it from scratch. But before I do that, I might as well give it a chance.

No, LLMs have not plateaued, and each of the latest releases has been a proof of that.

Fable 5 is a model you instantly FEEL how smart and superior it is. GPT 5.6 Sol is a HUGE incremental improvement in multiple directions and dimensions.

DeepSeek v4 Flash 0731 is a huge improvement over the preview version, using exactly the same architecture.

Kimi K3 gets open weight models very, very close to the frontier.

No my friend, we are not done yet.