Press Space to continue
Press Space to continue
micro1 CEO @aliansarinik on how you verify writing and poetry when the debate mechanism that works for law breaks down: "The perhaps overused word, which is taste. It refers to this idea of subjective verifiers. Coding is maybe a little bit of an exception, but medical, finance, legal, those domains are also very subjective." "A lawyer creates 30 rubric items, they send it to a peer reviewer, which disagrees on a couple, they debate it out, and then we come to the truth." "You don't come to…
aliansarinik@aliansarinik1d ago
Today we’re launching micro1’s PII transformation model, flow-transform 1.0, delivering frontier-level performance across detection, identity synthesis, and transformation of personally identifiable information. On PrivacyBench, our model reaches 96.0% F1, outperforming every detection baseline we tested, including Tonic Textual, Claude Opus 4.8, Sonnet 4.6, Microsoft Presidio, Haiku 4.5 and GLiNER2. Some of the most valuable training data for frontier AI models lives inside fully functioning companies. It captures years of real work across decisions, communications, tools, handoffs, exceptions and the relationships connecting them. The problem is that this data is also full of PII. Traditional redaction makes the data safe, but it also destroys the very workflows and relationships frontier models need to learn from. flow-transform 1.0 solves this by turning enterprise operational data into high-fidelity training data for frontier models by replacing real-world identities without flattening the reality the data captures.
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