AI News Today: Gemini 3.5 Delayed, Google Rebrands NotebookLM, and Meta Faces AI Layoff Lawsuit
Google's most powerful AI model faces delays, while the company rebrands its AI notebook product and launches a new video generation tool. Meta is fighting a lawsuit over AI-driven layoff practices.
AI News Today: Gemini 3.5 Delayed, Google Rebrands NotebookLM, and Meta Faces AI Layoff Lawsuit
Google's most powerful AI model faces delays, while the company rebrands its AI notebook product and launches a new video generation tool. Meta is fighting a lawsuit over AI-driven layoff practices.
Google's Gemini 3.5 Pro Hits Delays, Sending Alphabet Shares Down
Alphabet shares fell on a CNBC report that its next-generation AI model, Gemini 3.5 Pro, has been delayed. The report, citing internal sources, indicated that the model is not meeting quality benchmarks and may not ship on its original timeline.
Investors reacted quickly. The news dragged down Alphabet alongside broader AI stock concerns. Asian markets also sank, with Tokyo's Nikkei falling nearly 5% as AI-related stocks slumped across the region, according to AP News.
Google has not confirmed the delay publicly. But the report raises questions about the pace of advancement at the company that kickstarted the modern AI race with its transformer architecture. Competitors like Anthropic and OpenAI continue to ship regular updates to their models.
NotebookLM Becomes Gemini Notebook
In a product reshuffle, Google rebranded NotebookLM to Gemini Notebook. The note-taking and research assistant, which lets users upload documents and ask questions about them, will now sit under the Gemini product umbrella.
The move makes sense strategically. Google has been consolidating its consumer AI offerings under the Gemini brand. By moving NotebookLM into that family, the company signals tighter integration with its broader AI ecosystem. The product itself remains largely the same, but the rebranding suggests Google sees note-taking as a core use case for its AI platform.
Google Vids Lets You Star in Your Own AI Videos
Google also launched a new feature in Google Vids that lets users insert themselves into AI-generated videos. The tool uses a short selfie or video clip to create a digital avatar that can appear in generated scenes.
The feature targets business users who want to create training videos, presentations, or internal communications without professional production equipment. It builds on earlier AI video tools from Google and represents another step toward accessible video creation.
Meta Faces Lawsuit Over AI-Driven Layoff Selections
Twenty-six Meta employees have filed a lawsuit alleging the company used AI algorithms to target workers on medical and parental leave during layoffs, according to AP News.
The lawsuit claims Meta's layoff selection process relied on AI tools that disproportionately flagged employees who were away from work on protected leave. The plaintiffs argue this violates federal and state employment laws.
The case adds to a growing body of litigation around AI in human resources decisions. Companies increasingly use AI to screen candidates, evaluate performance, and select workers for layoffs. But these systems can encode biases that violate employment protections.
Meta has not commented on the lawsuit. The outcome could set a precedent for how companies use AI in workforce management.
AI Scams and Safety Concerns Rise
Two other stories from today's news highlight the growing risks around AI. CBS News reported on AI scams in Georgia and South Florida where fraudsters use deepfakes to steal millions. Meanwhile, a new study from AP News warns that AI chatbots are at risk of spreading government restrictions on online speech.
On the positive side, MIT News reported that AI agents are creating virtual playgrounds to help robots get training data, a promising development for robotics research.
Triweb AI Perspective: The combination of product delays, corporate lawsuits, and safety concerns marks a maturation phase for the AI industry. The technology continues to advance rapidly, but the business and regulatory frameworks around it are still catching up. Companies that build trust through transparency and responsible deployment will have a long-term advantage.
This article was written by Triweb AI's editorial team based on analysis of today's leading AI news sources.
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