Google unveils Gemini 3 while OpenAI frameworks enhance security

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Google's AI leader, Demis Hassabis, a Nobel Prize winner, recently predicted a "new renaissance" for discovery within the next 10 to 15 years, driven by artificial intelligence. Speaking on February 11, 2026, Hassabis shared his vision for AI transforming medicine, solving the energy crisis, and enabling space travel. He leads all Google AI efforts, including the development of powerful models like Gemini 3 and Nano Banana, following the 2023 merger of Google Brain and DeepMind. Hassabis also outlined a four-step plan to guide Google back to its "golden era" of innovation, emphasizing top-tier core AI technology and strategic decision-making.

In the competitive global AI landscape, Chinese developer Zhipu unveiled its new large language model, GLM-5, on February 11, 2026. This model is designed for complex coding and agentic tasks, positioning Zhipu to compete directly with offerings such as Anthropic's Claude 3. Valued at $18 billion, Zhipu, which began in 2019 with support from Tsinghua University, is now expanding its focus from custom solutions for Chinese businesses to offering its AI to global users.

Security remains a critical area, with Cisco significantly enhancing its AI Defense system. Updates on February 11, 2026, introduced AI BOM (AI Bill of Materials) to help teams understand AI system components, scanning for assets like models and prompts and preventing risks such as data leaks. Cisco's improvements also focus on protecting independent AI agents, managing their interactions, and securing the entire AI supply chain. The system incorporates advanced algorithmic red teaming and real-time guardrails, using a knowledge base that includes frameworks like OpenAI.

Beyond enterprise applications, AI is impacting public services and daily life. The Centers for Medicare & Medicaid Services (CMS) is now using AI to combat fraud in Medicare Advantage plans, aiming to save billions by identifying overcharging or unnecessary services, though there's a recognized risk of misidentifying legitimate claims. Meanwhile, Morgan Stanley's senior global economist, Rajeev Sibal, stated it is too early to determine AI's full impact on labor productivity and the global job market.

However, not all AI developments are viewed positively. Columbia linguistics professor John McWhorter argues that AI often creates "slop," a term named word of the year for 2025 by the American Dialect Society to describe low-quality AI-generated content. He highlights concerns about AI destroying learning, generating fake news, and creating harmful images. Additionally, social media users attempting to use xAI's Grok to unmask a suspect from limited footage face warnings from experts that generative AI cannot accurately reconstruct real faces and can spread misinformation. There are also concerns that AI's drive for efficiency might increase stress and reduce the quiet moments crucial for human creativity.

Investment in AI continues to evolve, with venture capitalists noting a shift towards strategic funding for sustainable business models with competitive advantages, or "moats." On February 11, 2026, discussions with the San Francisco Fed revealed a focus on application-layer opportunities, especially in complex industries like healthcare and finance, rather than just infrastructure. This environment saw AI startup Scala, founded by former Accolade leaders, secure $8.5 million on February 10, 2026, to improve contact center operations with its platform, which includes a reasoning engine, an agent design tool, and an AI assistant.

Key Takeaways

Google AI leader Demis Hassabis predicts an AI-driven "new renaissance" within 10 to 15 years, transforming fields like medicine and energy, and outlines a four-step innovation plan for Google's core AI, including Gemini 3 and Nano Banana.
Chinese AI developer Zhipu, valued at $18 billion, launched its GLM-5 large language model on February 11, 2026, designed for complex coding and agentic tasks, positioning itself to compete with models like Anthropic's Claude 3 globally.
Cisco significantly updated its AI Defense system with AI BOM (AI Bill of Materials) and real-time guardrails to enhance security for agentic AI and the entire AI supply chain, leveraging frameworks like OpenAI.
The Centers for Medicare & Medicaid Services (CMS) is deploying AI to combat fraud in Medicare Advantage plans, aiming to save billions annually, while acknowledging the risk of wrongly flagging legitimate claims.
Morgan Stanley's Rajeev Sibal notes it is too early to determine AI's full impact on labor productivity and the global job market.
Concerns are emerging that AI's focus on efficiency might increase stress and reduce the quiet moments essential for human creativity.
Columbia linguistics professor John McWhorter criticizes AI for producing "slop"—low-quality, AI-generated content—and contributing to issues like fake news and harmful images.
Social media users attempted to use xAI's Grok to unmask a suspect from limited footage, but experts warn generative AI cannot accurately reconstruct real faces and can spread misinformation.
AI startup Scala secured $8.5 million to enhance contact center operations with its platform, featuring a reasoning engine (Pulse), an agent design tool (Agent Canvas), and an AI assistant (Pulse Assist).
Venture capitalists are strategically investing in AI companies with strong competitive advantages, shifting focus from infrastructure to application-layer opportunities, particularly in complex sectors like healthcare and finance, leading to high labor costs for top talent.

Cisco AI Defense launches AI BOM for better security

Cisco AI Defense now includes AI BOM, an AI Bill of Materials. This new tool helps security and engineering teams understand what makes up their AI systems. It scans code and container images to find AI assets like models, agents, and prompts. AI BOM helps prevent risks such as unapproved models or data leaks. It also creates a map showing how AI assets work together, using a knowledge base with frameworks like Langchain and OpenAI.

Cisco strengthens AI Defense for agent security

On February 11, 2026, Cisco announced updates to its AI Defense system. These changes improve security for AI agents as they become more independent. The update helps protect the entire AI supply chain by scanning third-party models, data, and tools. New features track AI resources and prevent data leaks or harmful actions during agent-to-tool interactions. Cisco believes strong AI security needs constant visibility and real-time controls.

Cisco boosts AI Defense for agentic AI

Cisco has greatly improved its security tools to help businesses use agentic AI safely. The updates focus on protecting AI agents, managing how they interact, and ensuring strong network connections. New features include AI BOM for tracking AI software assets and an MCP Catalog for managing model context protocol servers. Cisco also added advanced algorithmic red teaming and real-time guardrails to stop manipulation or unsafe agent behavior. These changes help companies inventory AI assets, understand their origins, and find problems early.

Google AI leader predicts AI renaissance in 15 years

On February 11, 2026, Google's AI leader Demis Hassabis, a Nobel Prize winner, spoke with Fortune's Alyson Shontell. He predicted a "new renaissance" for discovery in 10 to 15 years, driven by AI. Hassabis believes AI will transform medicine, solve the energy crisis, and enable space travel. He mentioned Google merged its Google Brain and DeepMind units in 2023 to create powerful models like Gemini 3 and Nano Banana. His work with AlphaFold, which solved the protein folding problem, earned him a Nobel Prize in 2024. Now, his company Isomorphic Labs uses AI for drug discovery, with cancer drugs already in preclinical trials.

Google AI boss shares 4-step plan for innovation

On February 11, 2026, Google AI boss Demis Hassabis discussed his strategy with Fortune's Alyson Shontell at the World Economic Forum. Hassabis, who sold DeepMind to Google in 2014, now leads all Google AI efforts including Gemini. He shared a four-step plan to bring Google back to its "golden era" of innovation. This plan includes making sure the core AI technology like Gemini and Nano Banana is top-notch. It also involves improving internal processes, focusing on major opportunities, and consistently making smart decisions.

AI efficiency may harm human creativity

Smart AI tools promise to save time and make work smoother. However, a podcast called "The Ethical Life" suggests a potential downside. Constantly focusing on high-level tasks due to AI efficiency might increase stress. It could also reduce the quiet moments that often lead to new ideas and creativity.

Social media users try to unmask suspect with Grok AI

Nancy Guthrie, 84-year-old mother of Savannah Guthrie, went missing from her Arizona home on January 31. The FBI released Nest camera footage showing a masked figure. Some social media users are trying to use AI tools like xAI's Grok to remove the mask and identify the suspect. However, experts say generative AI cannot create real faces from limited images. This practice, seen before in the Charlie Kirk shooting case, generates random faces that are not based on reality and can spread misinformation.

China's Zhipu launches new GLM-5 AI model

On February 11, 2026, Chinese AI developer Zhipu unveiled its new large language model, GLM-5. This model is designed for complex coding and agentic tasks, and it competes with models like Anthropic's Claude 3. Zhipu, based in Beijing, is now a major player alongside companies like Baidu and Alibaba. Valued at $18 billion, Zhipu started in 2019 with support from Tsinghua University and major internet companies. The company is now moving to offer its AI to global users, shifting from custom solutions for Chinese businesses.

AI helps Medicare fight fraud

The government is now using artificial intelligence to save money in Medicare, especially with Medicare Advantage plans. The Centers for Medicare & Medicaid Services, or CMS, uses AI to find plans that might be overcharging or billing for unnecessary services. This technology analyzes claims and medical records to spot fraud and abuse, aiming to save billions each year. While this could improve care and transparency, there is a risk that AI might wrongly flag legitimate claims. Seniors should carefully review their Explanation of Benefits and report any suspicious activity to protect themselves.

Morgan Stanley says AI impact on jobs is unclear

Rajeev Sibal, a senior global economist at Morgan Stanley, stated that it is too early to see how AI productivity affects labor. He discussed how artificial intelligence is influencing the global economy. This includes its effects on the United States and the Middle East.

Professor says AI creates "slop" not solutions

John McWhorter, a linguistics professor at Columbia, argues that AI has become a "nuisance" creating "slop." He notes the American Dialect Society named "slop" the word of the year for 2025 to describe low-quality AI-generated content. McWhorter experienced this when AI turned his podcast into a peculiar article. He highlights downsides like AI destroying learning, creating fake news, and generating harmful images. He believes AI has lost its mystery and now often just gums up our lives.

Scala AI startup gets 8.5 million dollars for contact centers

On February 10, 2026, AI startup Scala, founded by former Accolade leaders, received $8.5 million from Seattle venture capitalists. CEO Ardie Sameti aims to improve contact center operations by connecting existing customer experience tools. Scala's platform has three parts: Pulse, a reasoning engine for insights; Agent Canvas, for designing AI agents; and Pulse Assist, an AI assistant for operators. Sameti, who previously led AI at Accolade, believes the company's deep industry knowledge is its key advantage. Scala, with nearly 20 employees, serves customers in healthcare, travel, and financial services.

Venture capitalists discuss AI investment trends

On February 11, 2026, venture capitalists specializing in AI met with the San Francisco Fed to discuss AI investment trends. They noted that AI investing has matured, with capital now flowing more strategically into sustainable business models. Investors are focusing on companies with strong competitive advantages, or "moats," like unique data or superior speed. The discussion also showed a shift from infrastructure investments to application-layer opportunities, especially in complex industries like healthcare and finance. Competition for top AI talent remains a critical challenge, leading to very high labor costs for specialists.