Together AI released Together Link, a free MIT-licensed CLI beta that plugs into existing coding agents to run open models hosted on Together AI. It installs on macOS or Linux with a single command and requires only a Together API key. The CLI adds per-session auto-routing between models like GLM 5.3/GLM 5.3 Flash (and optionally Opus 5.5) so agent users can swap models and track session costs without running a local proxy.
TIAA reported survey results showing Gen Z is unusually anxious that AI will harm their retirement savings and earning power. The survey found 51% of Gen Z fear AI could cut their nest egg, 11 points above the national average. The takeaway is that the concern is pushing advice to start saving earlier and adjust retirement expectations for longer working lives and lifespans.
TechCrunch Disrupt 2026 will host multiple sessions focused on how AI founders decide between open models, proprietary frontier APIs, customized models, and building vs renting parts of the AI stack. The event runs October 13-15 at Moscone West in San Francisco. Attendees are directed toward a multi-model and flexible approach that can shift operating costs, infrastructure choices, and how quickly teams can adopt better models as technology changes.
Cohere unveiled North 2, an overhaul of its enterprise platform for running AI agents, adding redesigned multistep orchestration, sharing, memory, skills, and connector support.
The release includes token spending caps that track token use down to individual users and agents.
North 2 shifts agent deployment by giving administrators tiered usage limits and alerting in North Admin while keeping model choice model-agnostic and supporting on-prem or fully air-gapped installs.
The article argues that indefinite exponential growth is limited by nature, then turns to Anthropic’s revenue growth as an example of something going wrong. It cites an illustrative cost of about ~500 trillion dollars in rice grains to model exponential “doubling” across a chessboard. As a result, it sets up an upcoming explanation for what is driving Anthropic’s apparent revenue trend problem.
AI data-center demand has driven up memory-chip costs, which is raising smartphone prices and making sub-$150 models shrink or disappear. Smartphone models launched this year are about 25% more expensive than last year, and 173 million sub-$100 phones shipped globally last year are forecast to be down almost 60% year over year in the second quarter of 2026. Chinese makers are cutting back on entry-level projects and shifting resources to higher-margin premium phones, potentially widening the digital divide as some people can’t afford or access an internet-enabled device.
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