Azmat
Introduction Open models used to come with a quiet warning label: fun for tinkering, risky for shipping. Then the new wave showed up and started taking points off the “frontier” scoreboard. Qwen3.5 is firmly in that wave. If you build real systems, you care about three things more than hype: capability, cost to iterate, and … Read more
Introduction A weird thing is happening in model land: the smartest move might be to stop arguing about “best model” and start arguing about “best loop.” Best loop wins because it runs more times. That’s why Seed2.0 matters. Not because it’s a magical new brain. Because it changes the economics of iteration while still posting … Read more
Introduction Some days in theoretical physics feel like mountain climbing. You spend hours inching upward through algebra, you finally reach a viewpoint, and the “beautiful simple formula” everyone promised turns out to be hiding behind a boulder labeled “one more identity.” Then there are days when a language model strolls by, points at your pile … Read more
Introduction Some weeks in AI feel like a neat row of press releases. This week felt like someone kicked the table, then handed us a spreadsheet of consequences. We got open models that finally talk like engineers, not mascots. We got one-step ImageNet and diffusion language models that can edit themselves mid-thought. We got research … Read more
Introduction The weirdest part of “AI coding agents” in 2026 is not that they can fix bugs. It’s that they can fix bugs expensively. You watch an agent do the right thing, then you watch the invoice do its own little victory lap. MiniMax M2.5 is interesting because it shifts the conversation from “Which model … Read more
Introduction If you’ve watched AI “solve” math lately, you’ve probably felt the same whiplash I have. One day it’s confidently inventing a theorem. The next day it’s quietly nailing a proof that would have made your younger self sweat through three notebooks. The interesting part is not that models got better at talking about math. … Read more
Updated on 13 February 2026 Introduction Here’s my current test for a model: give it a task that involves a terminal, a half-broken repo, and a goal that takes 30 steps. If it still knows what it’s doing at step 25, I care. If it faceplants into a loop, it’s just fancy autocomplete. That’s the … Read more