Press Space to continue
Press Space to continue
micro1 CEO @aliansarinik says recursive self-improvement won’t kill the data business, it’ll make data pipelines so efficient that labs can expand into far more domains: "RSI is a geometric progression versus a binary one where you say, okay, now we've achieved RSI. We've already been on that curve. When coding is largely done by models, it's already a huge aspect of models improving themselves." "There's never a 100% state. What that means is you essentially make data pipelines a lot more…
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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