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Techday NZ
a day ago
- Business
- Techday NZ
Snowflake boosts AI with real-time licensed content access
Snowflake has introduced Cortex Knowledge Extensions, allowing enterprises to supplement their AI agents with real-time, licensed content from third-party publishers, with Stack Overflow among the first partners to join the Snowflake Marketplace. The introduction of Cortex Knowledge Extensions enables enterprise customers to enrich their AI applications and agents with updated, reliable content from publishers such as Stack Overflow, USA TODAY, and Packt. This approach ensures proper attribution and licensing of content, distinguishing it from other systems that use scraped material without consent from original publishers. According to Snowflake, this new capability is designed to address challenges faced by both enterprises and publishers. Enterprises often struggle to gain access to timely external information for their AI systems, limiting accuracy and depth of insight. Meanwhile, publishers are seeking a secure and fair way to allow their content to be used by enterprise AI, with assurance of both compensation and control. "Building powerful AI apps and agents at scale hinges on enterprises having access to a wealth of internal and external data that adds rich context to AI outputs. Snowflake is raising the bar on enterprise-wide collaboration to make it even easier for customers to fuel their AI initiatives with AI-ready data and harness the power of agentic apps — regardless of whether the data and apps reside within their own four walls or come from trusted third-party sources. Our latest innovations enable teams to turn possibilities into reality with data and AI, all without worrying about security and governance risk," Prasanna Krishanan, Head of Apps & Collaboration and Horizon at Snowflake, commented on the launch. With Cortex Knowledge Extensions, publishers are able to list their content, such as news articles, textbooks, and research papers, on the Snowflake Marketplace. Enterprises can then purchase this content and integrate it into their AI-powered apps and agents, including Cortex Agents, Cortex Search, and the soon-to-be-available Snowflake Intelligence. This functionality enables AI systems to provide responses informed by timely and relevant information while allowing publishers to monetise their intellectual property under agreed licensing terms. The mechanism for delivering content through Cortex Knowledge Extensions relies on retrieval-augmented generation and is underpinned by Snowflake's Zero-ETL Sharing functionality. This setup empowers publishers to revoke access to content if necessary, while always displaying clear attribution and links to the original source, thereby enhancing reliability and provenance. Alongside Cortex Knowledge Extensions, Snowflake has introduced Semantic Model Sharing, which is currently in private preview. Semantic Model Sharing allows enterprises to integrate and interact with AI-ready structured data within their Snowflake Cortex AI applications — whether the data originates from internal sources or third-party providers. The use of semantic models helps ensure consistency in how data and business concepts are defined and applied across different systems, contributing to more trustworthy and accurate AI outputs. By mapping internal data to standardised semantic models, enterprises can accelerate insights, support more uniform decision-making, and access industry-standard metrics while maintaining governance and version control. Snowflake reports that these advances are intended to eliminate the manual effort required to create semantic models internally, while supporting high-quality, context-rich, and accurate AI responses. Users can directly interact with their data using Semantic Model Sharing in Cortex AI, including Cortex Analyst, Cortex Agents, and Snowflake Intelligence. In addition to content and model sharing, Snowflake is adding support for Agentic Native Apps in its marketplace. This feature provides customers with access to third-party agentic applications, which can securely combine provider and consumer data within the enterprise's governance framework. Data remains within the customer's environment while agents perform tasks such as portfolio management and optimisation, using proprietary algorithms and datasets. Currently, Snowflake Marketplace connects enterprises with over 750 providers, offering more than 3,000 live data, application, and AI products. The introduction of Agentic Native Apps is intended to give providers new ways to distribute and monetise their offerings while allowing enterprises to drive additional value from their data without compromising privacy or security.
Yahoo
23-05-2025
- Business
- Yahoo
Vercel debuts an AI model optimized for web development
The team behind Vercel's V0, an AI-powered platform for web creation, has developed an AI model it claims excels at certain website development tasks. Available through an API, the model, called "v0-1.0-md," can be prompted with text or images, and was "optimized for front-end and full-stack web development," the Vercel team says. Currently in beta, it requires a V0 Premium plan ($20 per month) or Team plan ($30 per user per month) with usage-based billing enabled. The launch of V0's model comes as more developers and companies look to adopt AI-powered tools for programming. According to a Stack Overflow survey last year, around 82% of developers reported that they're using AI tools for writing code. Meanwhile, a quarter of startups in Y Combinator's W25 batch have 95% of their codebases generated by AI, per YC managing partner Jared Friedman. Vercel's model can "auto-fix" common coding issues, the Vercel team says, and it's compatible with tools and SDKs that support OpenAI's API format. Evaluated on web development frameworks like the model can ingest up to 128,000 tokens in one go. Tokens are the raw bits of data that AI models work with, with a million tokens being equivalent to about 750,000 words (roughly 163,000 words longer than "War and Peace"). Vercel isn't the only outfit developing tailored models for programming, it should be noted. Last month, JetBrains, the company behind a range of popular app development tools, debuted its first "open" AI coding model. Last week, Windsurf released a family of programming-focused models dubbed SWE-1. And just yesterday, Mistral unveiled a model, Devstral, tuned for particular developer tasks. Companies may be keen to develop — and embrace — AI-powered coding assistants, but models still struggle to produce quality software. Code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic. This article originally appeared on TechCrunch at Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
22-05-2025
- Business
- Yahoo
Vercel debuts an AI model optimized for web development
The team behind Vercel's V0, an AI-powered platform for web creation, has developed an AI model it claims excels at certain website development tasks. Available through an API, the model, called "v0-1.0-md," can be prompted with text or images, and was "optimized for front-end and full-stack web development," the Vercel team says. Currently in beta, it requires a V0 Premium plan ($20 per month) or Team plan ($30 per user per month) with usage-based billing enabled. The launch of V0's model comes as more developers and companies look to adopt AI-powered tools for programming. According to a Stack Overflow survey last year, around 82% of developers reported that they're using AI tools for writing code. Meanwhile, a quarter of startups in Y Combinator's W25 batch have 95% of their codebases generated by AI, per YC managing partner Jared Friedman. Vercel's model can "auto-fix" common coding issues, the Vercel team says, and it's compatible with tools and SDKs that support OpenAI's API format. Evaluated on web development frameworks like the model can ingest up to 128,000 tokens in one go. Tokens are the raw bits of data that AI models work with, with a million tokens being equivalent to about 750,000 words (roughly 163,000 words longer than "War and Peace"). Vercel isn't the only outfit developing tailored models for programming, it should be noted. Last month, JetBrains, the company behind a range of popular app development tools, debuted its first "open" AI coding model. Last week, Windsurf released a family of programming-focused models dubbed SWE-1. And just yesterday, Mistral unveiled a model, Devstral, tuned for particular developer tasks. Companies may be keen to develop — and embrace — AI-powered coding assistants, but models still struggle to produce quality software. Code-generating AI tends to introduce security vulnerabilities and errors, owing to weaknesses in areas like the ability to understand programming logic. Error while retrieving data Sign in to access your portfolio Error while retrieving data
Time Magazine
20-05-2025
- Business
- Time Magazine
Jeff Atwood
Nearly 250 wealthy philanthropists have signed the Giving Pledge, promising to donate at least half of their fortunes during their lifetimes or upon their death. Jeff Atwood (who's not a signatory) is doing them one better. Atwood, whose computer programming platform Stack Overflow was acquired by a global investment group for $1.8 billion in 2021, committed in a blog post this January to giving away half of his wealth in the next five years. And he's already started with a bang, contributing $1 million each to eight nonprofits this year, from the Children's Hunger Fund, which provides resources to local churches, to Team Rubicon, which mobilizes veterans to help Americans recover from natural disasters. Atwood's drive to give back stems from his own background, growing up poor and financing his college education through a combination of Pell grants, scholarships, and a minimum-wage job as a cashier. His next giving goal: to work with churches, community organizations and veterans groups to make direct cash payments to residents of poor counties in West Virginia, North Carolina, and Arizona. Studies have shown, he says, that this is one of the most effective ways to lift people out of poverty. 'It's not a handout,' he says. 'It's an investment in our fellow Americans.'
India Today
28-04-2025
- India Today
Vibe coding, the AI shortcut to build software if you don't know programming
There's a new way to code that's shaking up the tech world -- and it's called vibe coding. If you're picturing a laid-back coder tapping into some "good vibes" to build an app, you're not far off. But there's a bit more to coined by OpenAI Co-founder Andrej Karpathy in early 2025, vibe coding is all about using AI to generate code based on simple instructions, not old-school line-by-line Karpathy's own words: "I just see stuff, say stuff, run stuff, and copy-paste stuff, and it mostly works." In short? You tell the AI what you want -- and it does the heavy IS VIBE CODING, EXACTLY?Think of vibe coding as giving directions instead of driving the car tell an AI tool what you're trying to build, it writes the code, and you tweak it until it feels right. This flips the idea of coding on its head. Instead of slogging through syntax errors and semicolons, you're steering the creative process -- more director, less coding isn't just a fun experiment. It's opening the door for millions of people who never thought of themselves as "techies" to actually build CODING MATTERS (AND WHY IT'S NOT JUST FOR ENGINEERS)Today, coding is stitched into nearly every industry you can think of -- finance, healthcare, education, gaming, and even India alone, the IT and BPM sector was expected to pull in $253.9 billion in revenue in FY2024, employing a jaw-dropping 5.4 million it's not slowing AI working its way deeper into every sector, understanding how to create, manage, or even guide software projects is becoming as basic as knowing how to use here's the kicker: traditional coding isn't the only way to get there anymore, and vibe coding is a huge reason VIBE CODING IS A BIG DEALOld-school coding takes years to master. Vibe coding takes curiosity and a willingness to tools like GitHub Copilot, Replit Ghostwriter, and ChatGPT's coding assistant now let you describe what you want in plain AI spits out the code. You test it, tweak it, and move Masad, the CEO of Replit, pointed out that around 75% of users on his platform don't write traditional code anymore. Instead, they're using AI to shortcut straight to building things liks apps, websites, prototypes, or whatever sparks their coding, but without the long nights of Stack Overflow YOU GET A JOB IF YOU ONLY KNOW VIBE CODING?Short answer: yes -- but it depends on the coding is fantastic for roles where quick creativity matters more than flawless, scalable prototyping teams, creative tech companies -- these are the spaces where vibe coders will Tan, CEO of Y Combinator, told CNBC in a recent interview that vibe coding is reshaping startups by letting tiny teams of engineers do what used to take massive if you're aiming for hardcore software engineering jobs, cybersecurity roles, or building massive backend systems, vibe coding alone won't cut still need a solid grip on computer science KIDS ARE LEARNING TO 'VIBE CODE'Here's where it gets even more exciting: vibe coding is quietly becoming the way many children learn to like Scratch (from MIT Media Lab) have made coding playful and visual for over 103 million registered drag and drop blocks instead of typing endless lines -- the same spirit vibe coding promotes. Over 123 million projects have been shared on Scratch already, showing just how normal coding is becoming for the next initiatives like Code Club (13,000+ clubs worldwide) and Girls Who Code (reaching 500,000+ girls) are teaching kids not to fear coding — but to play with idea that you have to be a "maths genius" to code is fast becoming a thing of the IS VIBE CODING THE FUTURE?It definitely looks that way -- but with a coding is making tech more accessible than ever, letting more people join the building process without needing a computer science degree or complicated programming traditional coding skills still matter if you want to scale big or build bulletproof the smartest move is to vibe-code your way in -- and then level up as you way, the future of coding is looking a lot more open, and a lot more fun.
