frontier
frontier at Beyond Market Intelligence is a file of 4 stories. The newest of them: “A test of 17 AI agents across 7,700 poker hands shows what local models can do”, “Explore how OpenAI's Astra redefines speed and safety in browser use”, and “Demystifying the math behind the algorithms powering modern LLMs”. Seventeen AI agents went head-to-head across 7,700 poker hands, and the results reveal exactly what local models can achieve today. OpenAI says Astra marks "a new frontier on computer and browser use," promising speed, accuracy, and safety. 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 frontier story on Beyond Market Intelligence, newest first.
A test of 17 AI agents across 7,700 poker hands shows what local models can do
Seventeen AI agents went head-to-head across 7,700 poker hands, and the results reveal exactly what local models can achieve today. This kind of test moves beyond theory, showing real performance where it matters. For anyone weighing the trade-offs between local and cloud-based AI, the findings are worth exploring. Deeper context awaits in our related piece, "Finding Your Balance Between AI Effort and Real Results."
Explore how OpenAI's Astra redefines speed and safety in browser use
OpenAI says Astra marks "a new frontier on computer and browser use," promising speed, accuracy, and safety. That is a bold claim, especially given how much trust we place in AI handling everyday tasks. The potential is real, but so is the skepticism. We have covered similar ground in our exploration of real-world computer vision, where deployment challenges often temper the hype. Astra deserves attention, but we should watch how it performs beyond the demo.
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.
From AI Research to Visual Data: Andrew Dai on the Next Frontier
A $300M pre-seed valuation before a single product launch. That is the kind of conviction Andrew Dai brings to the table, built on a decade of shaping the AI systems that inform today's most talked-about tools. He sees visual AI as the next major frontier, and it is hard to argue with that trajectory. This is a story about betting big on what comes next, not just iterating on the past.