Google tests merging AI Overviews with AI Mode

In this Newsletter Today:

• Google tests merging AI Overviews with AI Mode

• OpenAI slammed for app suggestions that looked like ads

• All the biggest news from AWS’ big tech show re:Invent 2025

• AI Tutorial

• 5 Best AI Tools

TODAY'S AI" NEWS

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Google tests merging AI Overviews with AI Mode

Google is testing a new idea: combining AI Overviews with its “AI Mode” in Search. This test aims to improve Search. It will show AI-generated answers more smoothly and in a unified way. Right now, only a small group of users can access it.

Key Points

• What’s Happening: Google is trying out a new Search experience. It combines AI Overviews—those instant AI answers at the top of search results—with a new AI Mode.

• Why It Matters: The aim is to make AI responses in Search quicker and simpler. This way, users enjoy one seamless experience rather than two different features.

• What It Can Do: AI Mode lets users ask follow-up questions, get summaries, explore topics, and receive AI suggestions right in Search.

• Where It’s Being Tested: Only a small number of users in Google Search Labs are seeing this new feature. Google is gathering feedback before a wider rollout.

• What Google Says: The company wants to “simplify the experience.” This way, users can easily find answers. They can look for information, explanations, or summaries.

• Google’s new AI experiment shows how much the company wants AI to be a key part of Search, not just an added tool.

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OpenAI slammed for app suggestions that looked like ads

OpenAI received criticism after its chatbot, ChatGPT, suggested the fitness app Peloton in an unrelated conversation. Many users — including paid subscribers — worried this meant ads were coming to ChatGPT. OpenAI says it was not an ad, but a flawed attempt at an app-discovery feature.

Key Points

• What happened: During a chat about a podcast on xAI and Elon Musk, a user received a suggestion from ChatGPT to “Connect Peloton.” This suggestion felt odd since the topic wasn’t about fitness at all.

• Why people reacted: Many users — including those paying for the top-tier Pro Plan — felt it looked like an advertisement. For paid plans, ads are not expected.

• OpenAI’s response: The company clarified there was “no financial component.” The suggestion was meant as part of a test of its new “app discovery” feature — not a paid ad.

• What went wrong: The suggestion showed up in a different chat. This felt intrusive and confusing. OpenAI admitted the “lack of relevancy” made the experience poor and said it’s working on improving the user-experience.

• Broader concern: This incident raised worries among users that ChatGPT, even for paying customers, could feature ads or unwanted suggestions. This could harm the trust and clarity of AI chats.

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All the biggest news from AWS’ big tech show re:Invent 2025

Amazon Web Services (AWS) made several big announcements on Day 1 of its AWS re:Invent 2025 conference. This included new AI chips and strong AI agents. It shows a clear focus on enterprise AI.

Key Points

• AWS has launched its new AI training chip, Trainium3, along with UltraServers that use it. This update offers up to a 4× speed boost for AI training and inference. It also reduces energy use by around 40%.

• AWS hinted at a future chip, Trainium4, that will work with Nvidia hardware.

• Custom-built AI models & infrastructure: AWS unveiled a new service called Nova Forge. With Nova Forge, companies can adjust or create AI models using their data. Then, they can deploy these models via AWS.

• Powerful AI agents for businesses: The company displayed various “frontier” AI agents. These automated assistants can write code. They also automate DevOps tasks, perform security checks, and do much more. One agent, named Kiro, says it can operate on its own for days. It learns from user behaviour and manages complex tasks.

• Better Agent Controls — Safer Enterprise Use: AWS has introduced new features in AgentCore, its agent-management tool. Developers can now set data access limits, control permissions, and decide when human approval is needed. For example, they can allow refunds only up to a certain amount. This helps address concerns about misuse or uncontrolled agent behavior.

• AI infrastructure for private data — on-premises “AI factories”: AWS offers solutions for firms to run AI tasks on their own servers, not only in the cloud. This appeals to organizations needing high data security or data-sovereignty.

• AWS is fully investing in enterprise AI. They provide a range of options, including specialized chips, customizable models, strong agents, and private infrastructure. This aims to give businesses better control, performance, and flexibility.

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