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September 28 AI builder roundup: Ember-1's token claim, a decision-model shortcut and code review debate
A September 28 roundup says Fireworks claims Ember-1 matches Kimi K3's answer quality with roughly 40% fewer tokens. It also describes a way to use GLM-5.3-Flash to choose from a list without fine-tuning.
TLDR
The roundup covers Fireworks' Ember-1 token-efficiency claim and a no-fine-tuning technique for turning GLM-5.3-Flash into a decision model. It cites a screenshot surfaced by Simon Willison in which Meta's Muse agent says its auto-reply wrongly told a buyer its user was home. It also summarizes John Allspaw's argument that human code review does more than detect defects.
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