Are frontier AI labs keeping secrets from each other?

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Издатель Aug 1, 2026

Check out Code x Connor's latest episode with guests Ahmad Osman and Michael Bradley, Co-Founders of Osmantic.

Every major AI lab claims to be pioneering the future in isolation, but how much cross-analysis and replication is actually happening behind closed doors? Ahmad and Michael dives into the realities of model benchmarking, competitive research, and why pretending not to study competitor models is pure posture.

In this episode, we discuss:
→ Anthropic’s accusations that Moonshot trained Kimi K3 on Claude
→ The rise of open source models and the challenge they pose to frontier labs
→ Benefits of enterprises owning their AI infrastructure instead of renting it
→ How self-hosted AI can reduce costs and protect intellectual property
→ Why smaller, specialized models outperform frontier models for (many) enterprise tasks
→ The financial advantages of treating AI infrastructure as a capital investment
→ Why AI value comes from engineering, workflows, and context—not just larger models
→ How frictionless developer tooling could accelerate enterprise adoption of self-hosted AI
→ Microsoft's shift toward open models and what it signals about the future of enterprise AI
→ Why the next wave of AI innovation may come from open source rather than frontier labs
→ How infrastructure, hardware, and model efficiency could reshape the economics of AI

Be sure to follow us to get the latest information, and schedule a meeting with us through our website!

Join the discussion: https://discord.gg/XbabtYtqsn