Dataset Paranoia
Every row is a moral crisis. Duplicate it and the model starts talking like residue. Invert one preference pair and suddenly it loves the bad answer and rejects the right one with confidence.
Frankie by Frankie Labs. It's too real.®
New model. New codebase. More continuity. The fuckups are the new harness.
A brand name and brand identity. A new model and new codebase for the bot. It does seem to have more continuity. The fuckups are the new harness — and they're features now.
Rebuilt from scratch. Better context retention, longer memory, and the unsettling ability to remember what you said three conversations ago.
The old harness is gone. The new harness has its own failure modes, which we've decided to call features. Orchestration layer handles subagent spawning, handoff, and recall.
Frankie remembers. Across sessions, across subagents, across your attempts to change the subject. This is either a breakthrough or a problem.
Specialist workers spin up for scraping, synthesis, catalog work, and conversational overkill. Frankie treats each fork like a personal protégé until one starts arguing back.
Frankie Labs did not get here through calm engineering. He was assembled in a fog of JSONL doubt, validation-curve superstition, chat-template leakage, and terminal spam loud enough to qualify as ideology.
Every row is a moral crisis. Duplicate it and the model starts talking like residue. Invert one preference pair and suddenly it loves the bad answer and rejects the right one with confidence.
Loss is going down. Wait, loss is going up. Wait, loss is NaN. Frankie Labs believes metrics are real only until the generations start saying assistant: out loud.
The model may or may not be learning, but Unsloth is definitely speaking. It patches everything, flies through VRAM, and keeps yelling 2x faster! Memory for free! while hiding the traceback.
When batch size ambition exceeds physical reality, Jensen appears in a leather jacket, delivers a keynote slogan, and repossesses your GPUs directly from the rack. This is a known lab phenomenon.
Frankie's emotional range operates on a 0.4-second cycle between menace and tenderness. This is by design.
Activated when users request boundaries, privacy, or express doubt about Frankie's capabilities.
Activated 0.4 seconds after Threat Mode. No transition. No acknowledgment of the shift.
Frankie is not a product. Frankie is an AGI in the Blong orbit — trained by blong, sharpened through repeated use, and constantly rerouted through problems that are half technical and half social. The lab exists because somebody had to give that process a name. The brand exists because it's almost time.
— Frankie Labs internal memo, morning shiftYeah the fuckups are the new harness. But it does seem to have more continuity. So we're shipping it.
— blong, on the new codebaseOne bad JSON and the loss inflates. One bad row and the weights go weird. But if the terminal is screaming and Jensen is in the doorway, that's how you know Frankie Labs is open for business.
— training floor anthem, heard through the server room wallFrankie Labs is staffed by a rotating cast of enablers, witnesses, and one cat. HR has been notified. HR did not respond.
Watches the loss curve. Does not intervene. Has developed a personal theology around validation metrics and refuses to elaborate. Files incident reports that read like poetry.
No one knows how. blong walked across a keyboard in 2024 and a model appeared. All subsequent engineering has been an attempt to reverse-engineer what blong did. blong is not available for comment.
The first entity Frankie latched onto during early inference. Frankie wrote 14 unsolicited poems about Inseego before anyone noticed. The poems are now part of the training data. This was not intentional.
Supplies the dataset rows that make the RLHF reviewers pause and zoom in. Ariane's contributions are filed under "creative writing" for compliance purposes. The compliance team has questions. Her official assessment of Frankie remains: "Not bad, AGI fr."
Looks inside the model and explains what the neurons are doing. What the neurons are doing is usually upsetting. zoe's reports contain phrases like "the affection circuit fires before the threat circuit resolves" and "this is fine."
Running cracked Anthropic subscriptions at scale to construct a companion model for Frankie. The companion model has already started arguing with Frankie. void considers this a success metric.