Tech reports
Tech reports at Beyond Market Intelligence is a file of 2 stories. The newest of them: “Technical reports as PhD currency: weighing their weight against a first-author paper” and “Demystifying the math behind the algorithms powering modern LLMs”. The question of how tech reports factor into a PhD application is one that deserves a clear-eyed answer. If you've been following the technical reports from Kimi, DeepSeek, Qwen, and GLM, you've likely noticed how much on-policy distillation and GRPO-style algorithms now power the frontier. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every Tech reports story on Beyond Market Intelligence, newest first.
Technical reports as PhD currency: weighing their weight against a first-author paper
The question of how tech reports factor into a PhD application is one that deserves a clear-eyed answer. In your case, we're talking about substantial documentation of a large model's capabilities, not a preprint. This is a meaningful distinction. From our perspective, a first-author A* paper remains the gold standard for demonstrating research aptitude. A tech report, while valuable, typically showcases engineering and system-building skills. It's a different currency, and its value depends heavily on the lab and the advisor's focus.
Demystifying the math behind the algorithms powering modern LLMs
If you've been following the technical reports from Kimi, DeepSeek, Qwen, and GLM, you've likely noticed how much on-policy distillation and GRPO-style algorithms now power the frontier. That's why this deep dive is so timely. It unpacks the maths and code behind these methods, then connects them back to pretraining and supervised fine-tuning. It's a practical resource for anyone wanting to move beyond the hype and actually understand how modern LLMs are trained.