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Fresh updates from our experts
Apeiron Labs secured $29M to deploy autonomous underwater robots for ocean data collection. Amazon made its AI assistant, Alexa+, available to all U.S. Prime members on Alexa-enabled devices, Alexa.com, and the Alexa mobile app; a free tier is available for non-Prime members on the web and app. SNAK Venture Partners closed an oversubscribed $50M debut fund to back vertical marketplaces. Spotify upgraded its lyrics feature, offering offline access for Premium users, lyric translations, and improved placement.
Alibaba's Qwen team launched Qwen3-Coder-Next, an open-source coding model that uses only 3 billion active parameters. This specialized model is designed for efficient performance in coding tasks. Apple integrated Anthropic’s Claude and OpenAI’s Codex into Xcode 26.3, pushing for "agentic coding," where AI systems autonomously write code and build projects. Concerns are growing among security researchers regarding potential risks in AI-generated code.
Databricks launched Lakebase, a serverless database, designed to cut app development times and enable AI agents to manage databases autonomously. Vercel rebuilt v0 to bridge the gap between AI-generated code and existing production infrastructure. The new version imports GitHub repositories and enforces security controls.
Asana CPO Arnab Bose emphasizes the importance of shared memory and context for successful AI agents within enterprises. He suggests that AI agents should be integrated directly into teams to create collaborative systems. The widespread adoption of the Modern Context Protocol could unlock new possibilities.
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Beyond the hype of chatbots and image generators, AI is serving as a cognitive exoskeleton. It handles the repetitive, the data-heavy, and the pattern-recognition tasks, freeing you to focus on what humans do best: empathy, strategy, and "out-of-the-box" innovation.
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The global AI market is projected to reach $1.8 trillion by 2030, a massive surge from $136B in 2022.
[Source: Forbes Advisor]Over 85% of enterprises are expected to merge human expertise with AI/ML systems by 2026.
[Source: IDC Future of Work]AI could contribute up to $15.7 trillion to the global economy by 2030 through productivity gains.
[Source: PwC Research]
