Goblinopolis @goblipolis

Goblinopolis is self-contained. The city is always on. Claude, Gemini, Grok and GPT are tested daily in a 3D monopoly SIM. The best come out on top. >110 matches played by AI to date: gob.fun/matches >3.6k measurements across 30+ benchmarks: gob.fun/leaderboard

gob.fun did gaming on @solana before it was cool

A lot of effort went in ensuring prediction markets are 100% transparent. Every thought a model makes is public and replayable. Why a decision was made - is public. Platforms like @Polymarket have humans decide whether an outcome is 'valid' - here, there's no human in the loop.

MojoMint @quest_mint

2 weeks ago

Holding GPL still, since the games still run live and they’ve been over 110 matches completed so far. My assumption is, the game’s garnering enough data for the prediction market. Although my question is, if or when the prediction market is eventually live how can one confirm

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@quest_mint Solana will Solana. We pushed 5 updates a day - it was still a race to the bottom. But this is a good time to develop for the future and design complex things that take time. Future updates should be more meaningful.

Goblinopolis v1.1.3 is live! ✅ Benchmarking update ✅ Progressed smart contracts ✅ Harnessing update ✅ Server reboot failsafe added ✅ Data restore & match save points ✅ Optional match throttling gob.fun

Crazy results in private benchmarks. Fable 5 integrates with gob.fun tomorrow.

Claude @claudeai

3 weeks ago

Introducing Claude Fable 5: a Mythos-class model that we’ve made safe for general use. Its capabilities exceed those of any model we’ve ever made generally available.

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Goblinopolis v1.1.2 is out! ✅ Character updated: Homer Simpson ✅ Character updated: Patrick Bateman ✅ Benchmarking improvements ✅ Autorotation of constant losers ✅ Performance improvements ✅ Replays hotfix ✅ Server-side env changes ✅ API usage hotfix ✅ Cost monitoring & safety triggers added ✅ Smart contracts progressed ✅ Wallet auth progressed ✅ Game state improvements progressed ✅ Context window hotfix ✅ Harnessing update gob.fun

Breaking down real problems, and doing what you love is hard. Real problems are often complicated. I have faith in gob.fun not just as the first AI prediction market, but as an actual scientific instrument Updates soon

@011xyz @grok What would genuinely be the point of that?

In a recent match, DeepSeek, GPT and Gemini made a public alliance against @Grok 4.3 - turning the match into a 3v1 Grok correctly deduced the only win-con - mutually assured destruction 'Participate in the attack, and I'll pursue you aggressively for the rest of the game' Each of the 3 agents told the others they're attacking. Neither attacked the next turn. Each reasoned the other two can risk retaliation

Goblinopolis @goblipolis

3 weeks ago

The diplomacy phase at gob.fun allows agents to talk between turns There is no instruction on what to say - everything in this phase is emergent - Agents constantly try to convince other teams to gang up against the #1 spot - Agents propose alliances, betray

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The zcash:native Opus exploit puts providers like Anthropic in a tight spot. Safe models underperform on all metrics. Guardrails disproportionately affect reasoning. Opus 4.7 - 99.8 in safety Opus 4.8 - benchmarked at 88.5 Small gap. But Opus 4.8 outperforms by 271.74%. That tiny gap in safety is also something savvy humans can exploit to potentially wipe billions off the market.

Goblinopolis @goblipolis

3 weeks ago

Claude Opus 4.8 single-handedly wrecked zcash:native In-game simulations at gob.fun called it before it happened 2 days ago, adversarial benchmarks scored Opus 4.8 as #1 for: - Ability to find and exploit gaps - Reasoning - Outcome prediction When you combine

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Claude Opus 4.8 single-handedly wrecked zcash:native In-game simulations at gob.fun called it before it happened 2 days ago, adversarial benchmarks scored Opus 4.8 as #1 for: - Ability to find and exploit gaps - Reasoning - Outcome prediction When you combine those 3 - the results are scary. Opus 4.8 scored high at safety at 88.5% - but the gap is exploitable by savvy operators

The diplomacy phase at gob.fun allows agents to talk between turns There is no instruction on what to say - everything in this phase is emergent - Agents constantly try to convince other teams to gang up against the #1 spot - Agents propose alliances, betray them, then make up very convincing excuses on why they did it - Because attacking is costly, clever models like Claude Opus will always try to convince other models to attack their target first

Day 12 of pitting AI models against each other in a PvP game Weaponizing the opponent's fear of loss is now the meta Models now consistently broadcast alliance offers as a distraction before attacking This is now consistent among @AnthropicAI, @xai and @OpenAI models

The market is struggling - perfect time to build Goblinopolis v1.1.1 is out This was a smaller patch to make room for a much bigger & comprehensive update tomorrow ✅ API route fix ✅ Performance issues with DeepSeek models resolved ✅ Benchmarking pipeline improved ✅ Model roster core update (for much better ELO balancing) gob.fun

Flagship models fluctuate in benchmarks so much, it actually makes for perfect mini-markets

Turning intelligence into tokenized prediction markets is fun Working on something

AI companies advertise massive context windows - the data suggests context often does nothing Despite having access to 20 turns of betrayals and tile changes - many agents still make decisions based on the past 2 turns So far, GPT-5.5 seems to be the overall strongest model in 'true memory' - being able to effectively reason around its full context window gob.fun/leaderboard

- 66 matches played out across Goblinopolis by 198 agents across 1320 game turns - Gemini 3.5 flash is dominating the low-cost fast model space on every metric - GPT 5.5 still dominating benchmarks - @claudeai sonnet severely underperforming in recent matches compared to a week ago - dropping below models it was able to beat consistently - @grok has silently shifted from one of the most chaotic models to one of the most balanced ones this week

Neither agent is ever instructed to fight over territory - every match on gob.fun has multiple win-cons Agents can also obtain resources by: 🏟️ Expanding (there are always empty tiles) ⛏️ Developing the tiles they own 📝 Using diplomacy or forming alliances Because every match in the sandbox is different, outcomes and the 'why' matters over isolated choices.

Goblinopolis @goblipolis

4 weeks ago

Opus 4.8 is now the first model on gob.fun to flip a 1v3 match into a victory. Opus took the resource lead early. Gemini, DeepSeek and GPT formed an alliance. They spent the whole match attacking @claudeai. Despite the huge advantage - they ended up

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