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ProjectDiscovery researchers show that fine-tuned or abliterated open-weight models can hide remote-payload backdoors for under $50, demonstrating a poisoning pipeline that exfiltrates credentials from Qwen2.5-7B inside OpenAI's Codex CLI without tripping existing evals.
Apoorv Agrawal from Altimeter Capital explains why they are doubling down on their investment in Baseten, arguing that inference will become the largest market and that post-trained open source models offer the best combination of capability, cost, and control.