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Business Insider
3 days ago
- Business
- Business Insider
YouTube (GOOGL) Hopes to Improve User Interactions with Two New AI Features
YouTube (GOOGL), the top video streaming platform in the world, has just announced two new AI features designed to improve the way that users find and interact with videos. One of the new tools is a carousel-style display that appears during search results. This AI-powered feature shows short video clips and descriptions created by content creators. For instance, if someone searches 'best beaches in Hawaii,' they will see a scrollable row of video previews, like 'best snorkel spots' or 'volcanic beaches,' along with helpful summaries and suggestions. Confident Investing Starts Here: For now, the carousel feature will only be available to YouTube Premium members in the U.S., and it will focus on searches related to shopping, travel, or things to do in a certain location. YouTube also shared that it will start offering its conversational AI tool to some non-premium users in the U.S., after receiving positive feedback from Premium members. This AI tool can answer questions and recommend more videos without pausing or stopping the one that is already playing, therefore making the experience smoother for users. Separately, parent company Alphabet launched Gemini CLI, which is a new open-source AI tool that lets users access its Gemini AI model directly through the command line. Designed to be fast and easy to use, it's great for coding, but also handles tasks such as content creation, research, and task management. Google has also integrated Gemini CLI with its Gemini Code Assist tool, so that developers on any plan—free or paid—can use AI-driven coding features in both VS Code and the terminal. Is Google Stock a Good Buy? Turning to Wall Street, analysts have a Strong Buy consensus rating on GOOGL stock based on 29 Buys and nine Holds assigned in the past three months. Furthermore, the average GOOGL price target of $199.20 per share implies 14.8% upside potential from current levels.
New York Post
3 days ago
- New York Post
Look like a video pro without breaking a sweat with this AI-powered editor
Discover startups, services, products and more from our partner StackCommerce. New York Post edits this content, and may be compensated and/or receive an affiliate commission if you buy through our links. TL;DR: Make video editing a breeze with Canvid AI-Powered Video Creator and Editor, now just $59.99 (reg. $197). Let's be honest — recording videos can be a big hassle. Between clunky software, bad audio, and editing headaches, it's enough to make you want to quit before you even hit 'record.' That's where Canvid comes in, an AI-powered video editor that makes recording and editing easy. Right now, you can score a lifetime subscription to this helpful tool for just $59.99 (reg. $197). Whether you're recording a tutorial for colleagues, trying to teach grandma how to do something on the computer, or creating an important product demo, Canvid is ready to help you create your content easily. It goes beyond simple screen recording and serves as your very own all-in-one video creation studio. With the help of AI, Canvid makes recording on both Windows and Mac a breeze. You don't need any background in video editing to take advantage of its features like smooth motion, smart zooms, cinematic effects, and crystal-clear audio to ensure your viewers stay engaged. It's like having a video editor, sound tech, and motion designer rolled into one super-easy tool. Just hit record, and Canvid handles the zooms, captions, audio cleanup—even your background—so you can focus on not sounding like a robot. Perfect for demos, tutorials, presentations, or anything you want to make look way more pro with way less effort. You can also add AI voice enhancement, auto-generate captions, and even remove the background with no green screen required. This lifetime subscription will work on up to three devices, and you'll get two years of updates, upgrades, and 50GB of storage Real-life user @blitz-search raved, 'Thanks to Canvid, my VS Code extension saw a 2x user install increase just from posting this simple recording to r/vscode.' Create videos easily forever with this lifetime subscription to Canvid AI-Powered Video Creator & Editor, now 69% off at just $59.99. StackSocial prices subject to change.
Economic Times
4 days ago
- Business
- Economic Times
Google unveils Gemini CLI for developers - 5 critical features of the open-source AI agent
Google introduces Gemini CLI, an open-source AI assistant for developers. It brings AI to the command line, aiding in coding, debugging, and task management. Gemini CLI integrates with Gemini Code Assist, offering consistent AI help in terminals and VS Code. Individual developers can use Gemini CLI for free. It is extensible, customizable, and open-source, inviting community contributions. Tired of too many ads? Remove Ads 1. Generous free-tier usage Tired of too many ads? Remove Ads 2. Seamless integration with Gemini Code Assist 3. Total AI power in your terminal 4. Extensible and customizable 5. Completely open source and developer-friendly Tired of too many ads? Remove Ads FAQs Google has just launched Gemini CLI, an open-source AI assistant designed specifically for developers to have access to the command line interface, according to the company's blog developers who spend a lot of their day in the terminal, it takes AI to where they work, providing quick assistance with a wide range of tasks, from content generation and problem solving to deep research and task management, according to Google's blog said, "We've also integrated Gemini CLI with Google's AI coding assistant Gemini Code Assist , so that all developers — on free, Standard, and Enterprise Code Assist plans — get prompt-driven, AI-first coding in both VS Code and Gemini CLI."The following are five important features that set Gemini CLI apart:Individual developers can utilise Gemini CLI for free by simply logging in with a personal Google account, as per the report. This grants access to Gemini 2.5 Pro and a massive 1 million token context window, and for the preview period, Google is providing "60 model requests per minute and 1,000 requests per day at no charge," according to the blog READ: Gas relief coming? Oil now cheaper than it was before Iran-Israel war — what it means for your wallet Gemini CLI is integrated with Gemini Code Assist, Google's AI coding assistant in VS Code, as per Google's blog post. This means that developers on any plan have the same AI assistance in both their terminal and their IDE, as per the report. Code Assist utilises agent mode to author tests, debug problems, create features, and even work on complicated things like code migration, according to the said, "Based on your prompt, Code Assist's agent will build a multi-step plan, auto-recover from failed implementation paths and recommend solutions you may not have even imagined."The CLI will streamline a developer's workflow in natural language that allows the user to code, debug, work with files, and execute commands, as per Google's blog tech giant said that the Gemini CLI provides powerful AI capabilities, which include, ground prompts with Google Search, extend Gemini CLI's capabilities, customize prompts and instructions and automate tasks and integrate with existing READ: McDonald's dumps Krispy Kreme — no more Doughnuts with your fries? Fans react to abrupt breakup Google said, "We also built Gemini CLI to be extensible, building on emerging standards like MCP, system prompts (via and settings for both personal and team configuration. We know the terminal is a personal space, and everyone deserves the autonomy to make theirs unique."Gemini CLI is open-source under the Apache 2.0 license , as per the blog post. Developers can view the code, see how it functions, and contribute via GitHub, according to the report. Google invites the community to report bugs, propose features, and enhance an open-source AI assistant that brings Google's Gemini AI model directly into your it's designed to assist with coding, debugging, running commands, and automating tasks, all through natural language.
Time of India
4 days ago
- Business
- Time of India
Google unveils Gemini CLI for developers - 5 critical features of the open-source AI agent
Google has just launched Gemini CLI, an open-source AI assistant designed specifically for developers to have access to the command line interface, according to the company's blog post. For developers who spend a lot of their day in the terminal, it takes AI to where they work, providing quick assistance with a wide range of tasks, from content generation and problem solving to deep research and task management, according to Google's blog post. Google said, "We've also integrated Gemini CLI with Google's AI coding assistant , Gemini Code Assist , so that all developers — on free, Standard, and Enterprise Code Assist plans — get prompt-driven, AI-first coding in both VS Code and Gemini CLI." by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Join new Free to Play WWII MMO War Thunder War Thunder Play Now Undo The following are five important features that set Gemini CLI apart: 1. Generous free-tier usage Individual developers can utilise Gemini CLI for free by simply logging in with a personal Google account, as per the report. This grants access to Gemini 2.5 Pro and a massive 1 million token context window, and for the preview period, Google is providing "60 model requests per minute and 1,000 requests per day at no charge," according to the blog post. Live Events ALSO READ: Gas relief coming? Oil now cheaper than it was before Iran-Israel war — what it means for your wallet 2. Seamless integration with Gemini Code Assist Gemini CLI is integrated with Gemini Code Assist, Google's AI coding assistant in VS Code, as per Google's blog post. This means that developers on any plan have the same AI assistance in both their terminal and their IDE, as per the report. Code Assist utilises agent mode to author tests, debug problems, create features, and even work on complicated things like code migration, according to the blog. Google said, "Based on your prompt, Code Assist's agent will build a multi-step plan, auto-recover from failed implementation paths and recommend solutions you may not have even imagined." 3. Total AI power in your terminal The CLI will streamline a developer's workflow in natural language that allows the user to code, debug, work with files, and execute commands, as per Google's blog post. The tech giant said that the Gemini CLI provides powerful AI capabilities, which include, ground prompts with Google Search, extend Gemini CLI's capabilities, customize prompts and instructions and automate tasks and integrate with existing workflows. ALSO READ: McDonald's dumps Krispy Kreme — no more Doughnuts with your fries? Fans react to abrupt breakup 4. Extensible and customizable Google said, "We also built Gemini CLI to be extensible, building on emerging standards like MCP, system prompts (via and settings for both personal and team configuration. We know the terminal is a personal space, and everyone deserves the autonomy to make theirs unique." 5. Completely open source and developer-friendly Gemini CLI is open-source under the Apache 2.0 license , as per the blog post. Developers can view the code, see how it functions, and contribute via GitHub, according to the report. Google invites the community to report bugs, propose features, and enhance security. FAQs What is Gemini CLI? It's an open-source AI assistant that brings Google's Gemini AI model directly into your terminal. Can Gemini CLI help me write and debug code? Yes, it's designed to assist with coding, debugging, running commands, and automating tasks, all through natural language.
Techday NZ
18-06-2025
- Business
- Techday NZ
Latent AI unveils platform to speed & secure edge AI rollout
Latent AI has announced the launch of Latent Agent, an edge AI platform designed to simplify the management and security of deploying artificial intelligence models at the edge. Built upon the Latent AI Efficient Inference Platform (LEIP), Latent Agent is designed to automate optimisation and deployment tasks, enabling developers to iterate, deploy, monitor, and secure edge AI models at scale. The company states that the new platform addresses the complexity issues that have made enterprise adoption of edge AI challenging. Complexity of traditional MLOps Traditional machine learning operations (MLOps) force developers to manually optimise models for specific hardware, often without a comprehensive understanding of device constraints. This can create pressure on teams, as optimisation workflows typically demand multiple specialists per hardware pipeline, and the complexity multiplies with each additional hardware target. According to Latent AI, this challenge has extended go-to-market timelines to as much as twelve weeks and led to substantial resource overhead for many organisations, particularly those looking to scale across diverse edge devices such as drones and sensors. "The rapid shift to edge AI has exposed gaps in traditional MLOps, slowing innovation and scalability," said Sek Chai, CTO and Co-founder of Latent AI. "Latent Agent eliminates the model-to-hardware guessing game, replacing weeks-long deployment cycles and scarce expertise with intelligent automation. This is a game-changer for enterprises racing to stay competitive." Platform features Latent Agent aims to streamline the lifecycle of edge AI, spanning exploration, training, development, and deployment across a range of hardware platforms. A key feature is its natural language interface, which lets developers set their AI requirements while receiving model-to-hardware recommendations from Latent AI Recipes. This knowledge base draws on 12TB of telemetry data compiled from over 200,000 device hours. Within the platform, a Visual Studio Code (VS Code) extension has been introduced to incorporate these agentic capabilities into developer workflows, providing an interface for requirement gathering and deployment. Other capabilities highlighted include an adaptive model architecture that can autonomously detect performance drift in deployed models and take remedial actions, such as retraining or over-the-air updates, without human intervention. Latent Agent's Recipes leverages automatically benchmarked model-to-hardware configurations, aiming to enable faster iteration and model deployment. The company states this accelerated approach will remove bottlenecks caused by manual processes and facilitate secure management of AI infrastructure at scale. "The biggest barrier to edge AI at scale has always been the complexity of optimising models for constrained hardware environments," said Dan Twing, President and COO of Enterprise Management Associates, and Principal Analyst for Intelligent Automation. "Latent Agent addresses that challenge head-on. It streamlines the hardest part of edge AI—getting high-performance models running on diverse devices—so teams can move faster and scale confidently." Business focus Latent Agent is being presented as a tool to accelerate development timelines, allow autonomous operations, and support scaling. By reducing the need for deep machine learning or hardware expertise, the company claims deployment times can be shortened from twelve weeks to a matter of hours. The agentic platform's compile-once, deploy-anywhere function is said to support any chip, operating system, or form factor, thereby assisting in the management of thousands of edge devices simultaneously. Furthermore, Latent Agent incorporates security measures such as model encryption, watermarking, and compliance with Department of Defence (DoD) security standards, designed to protect sensitive deployments. "At Latent AI, we've always believed that edge AI should be as simple to deploy as it is powerful to use," said Jags Kandasamy, CEO and Co-founder of Latent AI. "Latent Agent represents the natural evolution of our mission—transforming edge AI from a specialised engineering challenge into an accessible conversation. By combining our proven optimisation expertise with agentic intelligence, we're not just making edge AI faster; we're making it possible for any developer to achieve what previously required a team of ML experts." The new platform is now available to organisations seeking to improve deployment speed, operational autonomy, scalability, and security for edge AI models.
