TIL: Top AI News of Week 15

TIL: Top AI News of Week 15

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AI 2027

This website is a detailed scenario analysis predicting the potential impact of superhuman AI. Beside the content, this website provides a very good UX, the whole page is interactive. You can find the right side graph dynamic updates while scrolling.

AI 2027 is a comprehensive and detailed scenario forecast of the future of AI. It starts in 2025 and projects the rise of AI agents by 2026, the complete automation of coding in early 2027, and the intelligence explosion in late 2027. It has two branches, one ending in AI takeover and another ending in utopia (sort of).

Making AI Actually Work on Your Team

The article emphasizes the importance of AI in modern software engineering teams and provides practical advice for engineering leaders on how to integrate AI tools effectively. It highlights the need for leaders to guide their teams through this transition and create a supportive environment for experimentation.

Seeing is believing First things first: try it yourself. … So get your hands dirty… Your personal experience matters here—without it, it’s all just theories in your head; you’ll be out of touch. … I gave him/her the honest truth: “It’s impossible for me to promise job security for anyone. But think about this logically: we hired you before AI was a thing, and now that you’re significantly more productive with these tools, why would we let you go?”

Companies don’t (usually) fire their most productive people; they invest in them. The real threat isn’t AI—it’s sticking to outdated ways while the industry evolves around you. … The shift to AI-assisted engineering isn’t coming—it’s here.

The Dynamic Between Domain Experts & Developers Has Shifted

The article discusses how the relationship between domain experts and developers has changed in the AI era, emphasizing the increasing importance of domain expertise in building successful AI products. It’s interesting to see the sentence and picture of “I’ve got a great idea for an app…”.

… But today, I’m seeing teams of domain experts wading into the field, hiring a programmer or two to handle the implementation, while the experts themselves provide the prompts, data labeling, and evaluations.

For these companies, the coding is commodified but the domain expertise is the differentiator.

229 things we announced at Google Cloud Next ‘25 – a recap

Google Cloud Next 2025, held in Las Vegas, showcased over 200 announcements emphasizing advancements in AI, infrastructure, and real-world applications.

Here’s a concise summary of AI & Machine Learning:

• Gemini 2.5 Pro: Introduced as Google’s most advanced multimodal AI model, now in public preview across Vertex AI, AI Studio, and the Gemini app.
• Agent Ecosystem: Launch of tools like Agentspace, Agent Development Kit, and Agent2Agent protocol to facilitate the creation and management of multi-agent AI systems.
• Gemini Code Assist: An AI-powered coding assistant integrated into development workflows, offering features like a Kanban board for task management and insight into AI decision-making processes.

Google Is Winning on Every AI Front

The article argues that Google and DeepMind have taken a significant lead in the AI landscape, outpacing competitors like OpenAI, Anthropic, and Meta. The author, who previously had high hopes for OpenAI, now believes that Google’s strategic and technical advancements have positioned it as the dominant force in AI.

(PSA: Many people are interested in this post, so I removed the paywall)