Eido Askayo

More than a decade is a lot to fit into one post. When I reached ten years at Elsight, I tried to capture ten lessons from the journey . This time, a list did not feel right. This chapter is not only about what I learned. It is about the people, the belief, the difficult moments, the laughter, and the things we built together. When I joined Elsight, it was a private company with a team small enough to count on one hand. The scale today would have been hard to imagine when I joined. Elsight is now listed on the Australian Securities Exchange , its team is roughly ten times larger, and its customers span several continents. As I write this on August 30, 2026, its market value is above A$1 billion. Along the way, Halo became its flagship platform. That is a remarkable journey to have shared. The farewell also had kind words, laughter, hugs, and some very memorable cookies. The cookies deserved their own photo, naturally. Growing With the Company I joined Elsight as a jun...

A model whose weights you can download is now part of the performance conversation that usually belongs to Claude and GPT. That is what makes Kimi K3 exciting. It does not mean K3 wins every benchmark or matches every Claude and GPT configuration. The title means something narrower and still important: this open-weights release is close enough to be compared seriously with current frontier systems, even though it does not lead every test. When I checked Artificial Analysis’ K3 (max) page on August 3, 2026, its composite Intelligence Index score was 57. That is not the top score on every task. It is a serious top-tier signal from a model whose weights are public. So how did K3 make such a large leap from Kimi K2.6? The short answer is: not through one magic trick. Moonshot changed the usable size of the model, how information moves through it, the long tasks it trained on, the environments in which it practiced tool use, the amount of re...