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AI Coding Startup Kilo Unveils CLI 1.0 with Support for Over 500 AI Models
Kilo, a remote-first AI coding startup, launched Kilo CLI 1.0 this week, a command-line tool supporting over 500 AI models from various sources, including proprietary and open-source options like Alibaba's Qwen, according to VentureBeat. The release, a complete rebuild of the tool, comes shortly after Kilo introduced a Slackbot that allows developers to ship code directly from Slack, powered by MiniMax, a Chinese AI startup. Kilo is backed by GitLab co-founder Sid Sijbrandij.
The launch signifies a strategic pivot for Kilo, emphasizing flexibility for developers who may not want to commit to a single development environment or AI model. Kilo's CLI 1.0 aims to provide developers with a wide range of AI options to enhance their coding workflows.
In other technology news, the increasing demand for metals needed for cleantech is driving innovation in metal extraction. As reported by MIT Technology Review, the nickel concentration at Eagle Mine in Michigan's Upper Peninsula, the only active nickel mine in the US, is declining. The mine's owner began testing a new process earlier this year to extract more nickel from lower-quality ore.
Allonnia, a startup, developed a fermentation-derived broth that is mixed with concentrated ore to capture and remove impurities, allowing nickel production from lower-quality ore. "This approach could help companies continue operating sites that, like Eagle Mine, have burned," said Kent Sorenson, Allonnia's chief technology officer, according to MIT Technology Review. The need for metals like nickel, copper, and rare earth elements is growing due to the expansion of data centers, electric cars, and renewable energy projects.
Meanwhile, AI's growing energy demands are also spurring interest in next-generation nuclear power plants. MIT Technology Review reported that AI is driving unprecedented investment in massive data centers, necessitating a reliable energy supply. Next-generation nuclear power plants are being considered as a potential solution, offering potentially cheaper construction and safer operation compared to older plants.
Concerns around AI security are also rising. An article in MIT Technology Review highlighted the need for CEOs to address agent risk, recommending that companies treat AI agents like powerful, semi-autonomous users and enforce rules at the boundaries where they interact with identity, tools, data, and outputs. The article outlined an eight-step plan for governing agentic systems at the boundary, emphasizing controls and pillars for securing these systems.
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