LABBench2 has been used by several labs and other orgs to measure the bio-capabilities of frontier models.
We audited it and found some issues: many task sets are saturated, two are flawed, and the rest are at least moderately concerning. More below๐งต
Recommendations:
โข Report LABBench2 per task set, not as one aggregate
โข Drop the saturated sets (TrialQA, PatentQA, SourceQuality, TableQA2, maybe LitQA3) unless checking for regression
โข Fix harness for model comps, especially for DbQA2 and SuppQA2
Is GLM-5.3-Flash Mythos-level at cyber?
In our latest post, we find that GLM-5.3-Flash can outperform Mythos Preview on ExploitBench at ~6% of the price.
We do this by scaling up inference tokens to 1B per vulnerability.