@rohanpaul_ai: Claude Sonnet 5 upgrades are not uniform across every skill. e.g. its weaker than Sonnet 4.6 on CyberGym Here, CyberGym…

Claude Sonnet 5 upgrades are not uniform across every skill. e.g. its weaker than Sonnet 4.6 on CyberGym

Here, CyberGym is testing vulnerability discovery and exploit-finding behavior, not general reasoning or normal coding.

Anthropic also explicitly said in its announcment blog that Sonnet 5 was not deliberately trained for cyber tasks, so its cyber ability likely comes from general intelligence rather than targeted optimization.

So Sonnet 5’s performance on CyberGym comes from general reasoning rather than specialized exploit skill.

From System Card of Claude Sonnet 5

The Information reports that OpenAI has cut inference costs by more than half on some existing models, while logged-out ChatGPT traffic ran on only a couple hundred Nvidia GPUs.

The obvious guesses include quantization, KV-cache changes, batching, speculative decoding, and routing easy queries cheaper.

If true, it will be a huge core competitive lever, lower cost can raise margins, expand usage limits, or reduce pressure on API pricing.

For some context, OpenAI’s adjusted gross margin fell to 33% in 2025 from 40% in 2024, after inference costs quadrupled.

Some reporting now puts Q1-2026 at 39%, with a 52% target by year-end.

Anthropic looks similar at roughly 44%, so frontier labs remain far below mature software economics.

theinformation .com/newsletters/ai-agenda/openai-discovers-new-way-cut-inference-costs-half