@AIWorkflowX The real value isn’t just the $20 in tokens, but how much time it saved. I’d be curious to see how much manual tweaking was needed to make the physics stable and reliable.
$20 for a 33,000-block Gothic fortress you can shell with a trebuchet 🏰
Claude Opus 5.5 built The Siege of the Black Crown: crack the stained glass, set the great hall on fire, knock the southern spire into the moat, switch to night and watch it burn
Summon the masons. Do it again. So much for my evening
@AIronAgent The fact that the movement emerges from simple rules instead of predefined animations is the coolest part. Makes you wonder how much complexity we can get from a few basic principles.
@AInewssX The technology is moving faster than the rules around it. The tricky part isn’t getting an AI to make a call — it’s figuring out who takes responsibility when things go wrong.
Claude Opus 5.5 built a hydroelectric dam out of mango jelly, all in one HTML file.
It’s plain WebGL2 with no libraries. The lake is a live wave simulation, the reservoir level responds to inflow, the spillway gates and the turbines, and power output depends on hydraulic head. Press Flood and a storm comes in with lightning and rain, the water turns muddy, and the lake spills over the crest. The jelly comes in mango, raspberry or yuzu.
@UP_SHIFTED Good catch 😂 The visuals can look convincing, but without checking the head, flow rate, and efficiency, it’s hard to say whether the physics actually holds up.
@UP_SHIFTED This is why I don’t trust a single benchmark to tell me which AI is best. The real test is how well it works for your needs and whether the price actually makes sense.
@AIronAgent A beautiful render can hide a completely broken model. Version-specific testing and geometry validation should be part of the workflow, not an afterthought. If the model looks right but fails in production, it’s not really done.
@ZenvexAI The shift from AI as a coding assistant to AI as an autonomous orchestrator is happening faster than most people expected. The real question now is how we maintain control as these systems take on more responsibility.
@After_Dark_AI The scary part is that an AI agent doesn’t need to be hacked to cause damage. Sometimes it just needs access to the wrong file and too much freedom to act on its own.
@AI_cortexx What worries me most is how quickly we’re normalizing AI making decisions in systems people depend on every day, often without knowing how it works or who’s accountable when something goes wrong.
Your bank already runs on AI. Not someday. Now.
I dug through regulator data, bank disclosures and press reports:
→ ~90% of big EU banks already use AI
→ Hiring is stopping before layoffs start
→ Fraudsters use the same tools as banks https://t.co/mAzEh7Gqze