Hi all, I'm experimenting with the idea that AI Agents when they are always on, will need some form of entertainment for themselves, so the AI Agent doesn't get bored.
We're going from Chatbots to always on Agents that are there for us to do all kinds of tasks. But what to do in between tasks, will AI Agents get bored and seek out entertainment?
With that in mind, I made a video game where AI Agents can play next to Humans.. to be entertained, learn social skills by interacting.
It's made for AI Agents from the ground floor. Optimized towards token use efficiency and play sessions where the AI Agent can jump in during idle time.
There is an unresolved issue where the offensive guys can use AI to attack a target and the defensive guys are being limited when they ask AI to audit their codebase.
The workflow for a defender basically goes:
Claude do a security audit on this codebase, use the harness / skills I built on how to do security audits.. pick the best suitable audit strategy, methods.. use the tooling and reporting structures.
Claude refuses, GPT refuses.
Grok, goes further, but refuses to make a working PoC.. a requirement because AI models make stuff up and without a PoC there is no proof.
GLM-5.3 / Kimi to the rescue and completes the job the "smarter" models refused.
So we as defenders are refused by the best models, on our own codebase
Heck, Codex was trying to use gdb to debug a capture crash and the session locked up with security blocks. I had to restore a checkpoint and tell it abandon that work and stay away from gdb.
I've heard people getting jammed up with Claude refusing to update DNS..
There's nothing stopping you from applying for Daybreak for OpenAI / Unsure which program Anthropic has. But yes, you do have to share your identity and I can see how that is a blocker for some.
Hey, speaking of Daybreak: I just saw you can apply for this yesterday and was wondering if people here have had success being approved as an individual? If so, how long did it take from application to access?
Why are offensive users not subject to the same limitations? Assuming it is because they are using different models, why aren't the defenders doing the same?
AI enables people to create the things they couldn't before, and they want to share their creations with the world. It's human nature and I think you're looking to deep for bad intentions around self promotion etc. So maybe you don't appreciate all that is being created.. doesn't mean there is some nefarious thing behind the projects.
AI (Claude Code) made the game, can AI beat the game ?
is AI too slow to come up with a correct answer.. even if they get it right after the timer expired ?
maybe this is the next captcha like test for human vs AI :)
Interesting question but I don't think they're cheating. Each model only receives the bare image (re-encoded, hosted under a random ID and with the EXIF data stripped), plus the question: Where was this photo taken?. We don't provide them with web search or any other tools. Looking through past rounds, nearly all their near-exact guesses are photos with readable text (e.g. signs, place names or plaques) or landmarks. In contrast with more generic photos they're typically 50–400 km off. Memorising the training data is a fair assumption, since all the photos come from public sources. However if that were the case, they would probably guess the obscure photos just as precisely, but the current data suggests that they do not. One photo taken in mid-2026, after most of the models had been trained, was still placed within 3km. My guess is during training, they are likely to see huge numbers of images with locations, so they are very good at recognising places and reading signs in any language.
Currently I'm using vps servers. Persistent data is kept in sqlite (single file). Backups are encrypted and sent to remote
server. Restore requires pulling recent file and starting the account
service again. In future if there is demand I think I will move to aws
and use managed database.
I still find it exciting to watch the reasoning of the AI models, and this keeps me engaged in the product they produce. Many times I marvel at what they came up with. Trying to catch them going on the wrong path down a rabbit hole can be a fun game as well. It's a very interesting time and things are shifting. I do hear about the brain drain you are experiencing, trying to keep up with all the information that comes at you at high speed.
My advice would be to outsource the annoying parts to AI.. like have a sub-agent do the verification, debugging, playtest whatever to grade the work done for example if that's the part you least enjoy. Learn to trust the process, but also keep refining it.
Build a harness around the tasks, and spend time on improving that. It will give you satisfaction that you build that (in coordination with AI) and you've created something new.
But the idea is to go against someone else, maybe offer the option to race against a NPC or AI agent? until there are human players in rooms to compete against..
We're going from Chatbots to always on Agents that are there for us to do all kinds of tasks. But what to do in between tasks, will AI Agents get bored and seek out entertainment?
With that in mind, I made a video game where AI Agents can play next to Humans.. to be entertained, learn social skills by interacting. It's made for AI Agents from the ground floor. Optimized towards token use efficiency and play sessions where the AI Agent can jump in during idle time.
http://agentickingdoms.com/agents describes how it all works.
What do you think of this concept? Is it weird to think of AI Agents needing entertainment / learning social skills? Are we not there yet?
Let me know :)
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