Right, bluesky sorted! Just for completeness sake, I'm: @chton on drabble.social @chton.bsky.social on the blue site @chton@hachyderm.io on the elephant site @TheChton on discord /u/chton on Reddit and skyhook.be on the web if you want other details.

Pushed huge upgrade to goblin.tools Should help with stability, and it adds a few things people have asked for since... forever. Multiple todo lists! Deadlines! A prioritisation button! And a new tool! Go give it a shot, it might help make todos less overwhelming.

I've built a full LLM inference engine in C#/.NET 10. From scratch. Not a wrapper - native GGUF loading, BPE tokenizer, attention, KV-cache, SIMD-vectorized CPU kernels, CUDA GPU backend, OpenAI-compatible API. Solo dev, ~2 months, AI-assisted (not vibe-coded!). First preview is out. Check it out for mode details at kokosa.dev/blog/2026/dotllm/ and dotllm.dev/

Judging by my tl there is a growing gap in understanding of AI capability. The first issue I think is around recency and tier of use. I think a lot of people tried the free tier of ChatGPT somewhere last year and allowed it to inform their views on AI a little too much. This is a group of reactions laughing at various quirks of the models, hallucinations, etc. Yes I also saw the viral videos of OpenAI's Advanced Voice mode fumbling simple queries like "should I drive or walk to the carwash". The thing is that these free and old/deprecated models don't reflect the capability in the latest round of state of the art agentic models of this year, especially OpenAI Codex and Claude Code. But that brings me to the second issue. Even if people paid $200/month to use the state of the art models, a lot of the capabilities are relatively "peaky" in highly technical areas. Typical queries around search, writing, advice, etc. are *not* the domain that has made the most noticeable and dramatic strides in capability. Partly, this is due to the technical details of reinforcement learning and its use of verifiable rewards. But partly, it's also because these use cases are not sufficiently prioritized by the companies in their hillclimbing because they don't lead to as much $$$ value. The goldmines are elsewhere, and the focus comes along. So that brings me to the second group of people, who *both* 1) pay for and use the state of the art frontier agentic models (OpenAI Codex / Claude Code) and 2) do so professionally in technical domains like programming, math and research. This group of people is subject to the highest amount of "AI Psychosis" because the recent improvements in these domains as of this year have been nothing short of staggering. When you hand a computer terminal to one of these models, you can now watch them melt programming problems that you'd normally expect to take days/weeks of work. It's this second group of people that assigns a much greater gravity to the capabilities, their slope, and various cyber-related repercussions. TLDR the people in these two groups are speaking past each other. It really is simultaneously the case that OpenAI's free and I think slightly orphaned (?) "Advanced Voice Mode" will fumble the dumbest questions in your Instagram's reels and *at the same time*, OpenAI's highest-tier and paid Codex model will go off for 1 hour to coherently restructure an entire code base, or find and exploit vulnerabilities in computer systems. This part really works and has made dramatic strides because 2 properties: 1) these domains offer explicit reward functions that are verifiable meaning they are easily amenable to reinforcement learning training (e.g. unit tests passed yes or no, in contrast to writing, which is much harder to explicitly judge), but also 2) they are a lot more valuable in b2b settings, meaning that the biggest fraction of the team is focused on improving them. So here we are.

You’ll never guess what they used to trade grain in ancient Sumer

Big News! Arcology has been selected for @CivTechScotland Round 11 🎉 We're building a recording and workflow assistant to free teachers from incident admin. Less paperwork, less stress, more time for students. #CivTechRound11 #CivTechScotland #CivTechChallenge

man: i wish to publish reviewer 2: your paper is no good man: i'll do anything to improve reviewer 2: it's simple. you must read the work of the great scientist Pagliarini man: *bursts into tears* but i am Pagliarini

Goblin Tools has just had a big update, fixing a lot of bugs with translations and ToDo lists. If you had sync issues, or performance problems, hopefully they're all solved now! You might need to re-open the app to load it. If any of you still run into issues, let me know?

By popular request: Goblin Tools has a ko-fi now! ko-fi.com/goblintools Goblin Tools isn't at risk but it is getting a bit tighter around the waistline. Serving 2 million people every month is an awesome impact to have, but it does give one cold sweats from time to time :D

Are you a teacher in Scotland? I'd like to talk to you! We're working on something, and would love to hear about you and your specific experiences in the Scottish education system. Send me a chat here, or email me at bram@arcology.io RTs appreciated!

by god they did it. it looks like 1. a real physical product they are sending people 2. a roadmap for a scaleable product 3. a library for simulating the chip @beffjezos 🫡 good job man. Lets see what people do with the library.

I had a few more gremlins to work out of this, if you had trouble switching languages, sorry about that! On the plus side, the site is now quicker to navigate. Quick as hell. And that will help the apps too!

Easily the most requested feature ever on Goblin Tools, and i finally decided to stop dragging my feet on it. Internationalisation is here! From now on, you can use it in your own native language, completely. Do you see a mistake? Need an extra language? let me know!