Cybersecurity isn’t a fortress problem, it’s an immunity problem. Think vaccines. Eliminating pathogen is not practically possible. Vaccines don’t eliminate pathogens. They teach the immune system to recognize, adapt, and respond faster as threats evolve. Attackers will keep mutating. AI will accelerate that. Only if we can simulate what attacks look like, we can defend. Open models are the best tool to drive both offense simulation and defense. We as a community should build an adaptive immune systems for software.
Excited to be on the CNBC live show! x.com/dee_bosa/statu…
Open weights are a defender's advantage. dfs-large1 from @depthfirstlabs matches frontier-model performance on vulnerability discovery and was built on the open GLM-5.2 model, post-trained with RL on @FireworksAI_HQ. This is exactly the case for open-source AI policymakers need to notice: American companies can build best-in-class domain models using open weights.
What a week with Kimi K3 and Opus 5 launch! We compared these two great models across SWE (480), Algorithmic(100), Terminal (83), the task level quality is very close with Opus 5 being on par or better, and K3's per-task cost is 2x to 4.6x cheaper, using serverless pricing. Key measurement is per-task cost, not per-token cost. In general, open models tend to be more verbose than close models. Hence the quick study. We aim to continue to increase per-task serving efficiency (via Fireworks Inference) and quality (via Fireworks Training). Share what you find out for the tasks you care about. 👇 More details of our study -- t.co/b5UcjeMVE4
