Google Tensor G5 Chip Likely to be Made by TSMC
Google is making big steps in the realm of chip development. The tech giant is currently testing a self-developed Tensor chip, a project undertaken in collaboration with KYEC, a Taiwanese company. KYEC specializes in testing services for chips destined for manufacturing in Taiwan.
Reports indicate that Google is investing in equipment for testing these chips at KYEC’s facilities. Testing is set to commence around the middle of this year, with a gradual increase over time. This information comes from sources close to the matter and was first reported by 9to5Google.
This move by Google suggests a shift from its reliance on Samsung’s processors for its Pixel phones. Sources familiar with the development believe the chip being tested is the Tensor G5, also known by its codename “Laguna.” This chip is anticipated to launch in 2025.
The Tensor G5 is expected to be manufactured using TSMC’s advanced 3nm process technology. The focus of this chip is on enhancing artificial intelligence (AI) capabilities, which aligns with Google’s emphasis on AI-powered features in its Pixel series.
This switch marks a significant milestone for Google. It represents the company’s first venture into fully custom chipset design. Up to this point, Google has been heavily dependent on the foundation provided by Samsung’s Exynos chips.
Transitioning the production to TSMC could present Google with numerous benefits. Moving away from Samsung’s Exynos chip base, which is currently trailing Qualcomm’s Snapdragon series in performance and efficiency, Google could gain more control over its chip design. This change might lead to the creation of more powerful and efficient Pixel phones in the future.
However, it’s important to note that Google’s collaboration with Samsung isn’t ending anytime soon. The Tensor G4, which is set to power the upcoming Pixel 9 series, will be manufactured using Samsung’s 4nm process. This chip is expected to offer slight improvements over the G3 found in the Pixel 8 series.
The technology used in Google’s Tensor G4 is reportedly similar to what is used in Samsung’s Exynos 2400 SoC. Therefore, we can anticipate substantial improvements in CPU and GPU performance.
The Chrome Skills feature marks a significant shift in how users interact with their browsers. With the integration of Google Gemini into Google Chrome, Google is transforming everyday browsing into a more automated and intelligent experience. This update introduces reusable AI-powered workflows, allowing users to streamline repetitive tasks directly within the browser.
What is the Chrome Skills Feature?
The Chrome Skills feature allows users to save and reuse prompts powered by Gemini. Instead of repeatedly typing the same instructions, users can create “skills” that execute predefined actions. These can range from summarizing articles and comparing products to organizing research across multiple tabs.
This feature is particularly useful for professionals, researchers, and content creators who rely heavily on browser-based workflows. By embedding AI directly into Chrome, Google is reducing friction and saving time.
How It Works
Users can create a skill by writing a prompt and saving it within Chrome. Once saved, the skill can be triggered anytime with a single click. The AI then executes the task across tabs or within a specific page context.
For example, a user can create a skill to summarize all open articles or extract key points from multiple tabs. This eliminates the need to manually switch between tabs and repeat commands.
Why This Matters
The introduction of Chrome Skills positions the browser as more than just a tool for accessing websites. It becomes an intelligent assistant capable of handling complex workflows.
This move also highlights Google’s broader strategy of integrating AI deeply into its ecosystem. By combining Chrome with Gemini, users get a seamless experience where AI enhances productivity without requiring additional tools or extensions.
SEO and Productivity Benefits
From an SEO and content perspective, this feature can help creators generate ideas, analyze competitors, and optimize content faster. Marketers can use skills to automate keyword research or summarize industry trends.
For everyday users, it simplifies tasks like shopping comparisons, email drafting, and information gathering.
Final Thoughts
The Chrome Skills feature is a step toward a more automated web experience. As AI continues to evolve, features like this will likely become standard across browsers. For now, Google is setting the pace by turning Chrome into a smarter, more efficient workspace.
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YouTube
YouTube Live Streaming Monetization Update: New Features Boost Creator Earnings and Engagement
YouTube Live Streaming Monetization Update is set to reshape how creators earn and engage with their audiences on the platform. YouTube has introduced a series of enhancements aimed at improving both revenue opportunities and viewer experience during live streams. These updates are rolling out globally, signaling the platform’s continued focus on strengthening its live streaming ecosystem.
YouTube Live Streaming Monetization Update: New Features for Live Streams
One of the most notable updates is the expansion of the gifting feature to horizontal live streams. Previously limited to vertical formats, gifting now allows creators to receive financial support from viewers across more streaming styles. This move aligns with the growing popularity of long-form and landscape-oriented content.
Another key addition is the introduction of ad-free moments triggered by viewer interactions such as Super Chats and gifts. When a viewer contributes during a live stream, ads are temporarily paused, ensuring that the interaction feels more personal and uninterrupted. This not only enhances viewer satisfaction but also encourages more real-time participation.
YouTube Live Streaming Monetization Update Improves Ad Experience
YouTube has also implemented an intelligent ad management system that automatically pauses advertisements during peak engagement periods. For instance, when chat activity spikes or major interactions occur, ads are delayed to maintain the flow of the stream. This ensures that creators do not lose audience attention at critical moments.
By reducing interruptions during high-engagement segments, creators can maintain a stronger connection with their viewers. At the same time, monetization remains intact, as ads are strategically placed without disrupting the overall experience.
What This Means for Creators
These updates highlight a clear shift toward a creator-first approach in live streaming. By combining monetization tools with improved audience experience, YouTube is enabling creators to maximize earnings without compromising engagement.
Conclusion
With these enhancements, YouTube is positioning itself as a leading platform for live streaming monetization. The balance between revenue generation and user experience is at the core of this update, making it a significant development for the creator economy.
As live content continues to grow, these features could play a crucial role in shaping how creators connect with their audiences and monetize their efforts effectively.
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Google Gemini 3D models and charts are redefining how users interact with artificial intelligence by transforming plain text responses into dynamic visual experiences. With this latest update from Google, the Gemini app is no longer limited to answering questions—it can now visually demonstrate concepts through interactive models and data charts.
Google Gemini 3D Models: A New Era of Interactive AI
The new feature allows users to generate interactive 3D models directly within the Gemini app. Whether it is understanding planetary motion, physics simulations, or complex systems, users can now explore concepts visually rather than relying solely on text explanations.
Alongside 3D models, Gemini also introduces real-time chart generation. Users can input data or ask questions, and the AI instantly creates charts that can be adjusted using sliders and controls. This makes data interpretation faster and far more intuitive.
How Google Gemini 3D Models Improve Learning and Visualization
This update is particularly useful for students, educators, and professionals who rely on visual learning. Instead of imagining abstract concepts, users can now see them in action, leading to better understanding and retention.
For professionals, especially in data-driven fields, the ability to quickly generate and manipulate charts can significantly improve productivity. It eliminates the need for separate tools and simplifies workflows by keeping everything within a single AI interface.
Why This Matters
Google’s move toward interactive AI signals a shift in how users will engage with technology. The integration of 3D visuals and charts transforms AI from a passive assistant into an active exploration tool.
As artificial intelligence continues to evolve, features like these highlight a future where learning, analysis, and creativity become more immersive and accessible to everyone.
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