Zeta Labs has raised $2.9 million in pre-seed round funding and launched JACE, an AI assistant that can autonomously complete complex tasks. The LLM-powered JACE agent executes in-browser actions on command. In fact, Zeta claims JACE is so autonomous that it eliminates the need to be sitting in front of a computer while it executes requests — just tell it what you’d like it to do and let it go. London-based Zeta says it will use the money to expand its engineering team, host training models and improve JACE’s speed and reliability. Continue reading UK’s Zeta Labs Unveils JACE, a Next Generation AI Assistant

Work management platform Asana is attempting to rebrand the “AI assistant” as “AI teammates” — custom assistants designed to execute key parts of workflows. Currently in beta, AI teammates are more collaborative and goal-oriented and able to “take action with the relevant context and rules of engagement,” Asana explains, contrasting that with “other AI solutions that aimlessly scour data and take action based on unreliable information.” The firm is also debuting a conversational AI chat agent that can answer questions such as: “What blockers are putting this goal at risk?” or “Who at my company knows about this topic?” Continue reading Asana’s Customizable AI Teammates Work Alongside Humans

A year after its announcement, Fable is launching Showrunner, a platform that lets anyone make TV-style animated content by writing prompts that are turned into shows by generative AI. The San Francisco company run by CEO Edward Saatchi with recruits from Oculus, Pixar and various AI startups is launching 10 shows that let users make their own episodes “from their couch,” waiting only minutes to see the finished result, according to Saatchi, who says a 15-word prompt is enough to generate 10- to 20-minute episodes. Saatchi is hoping Fable’s shows can garner an audience by self-publishing on Amazon Prime. Continue reading Fable Launches Showrunner Animated Episodic TV Generator

French startup Mistral AI has released its first large language model for coding. Codestral gives developers looking for a code-native AI tool an option to Meta’s Code Llama, Microsoft’s GitHub Copilot and Amazon Q. Fluent in 80 programming languages — including Python, C++ and JavaScript — Codestral can complete code, write tests, and augment partial code “using a fill-in-the-middle mechanism,” while reducing “the risk of errors and bugs,” according to the company. The new LLM is described as open, but its license prohibits commercial use of both Codestral and its outputs. Continue reading Mistral Development Tool Knows 80 Programming Languages

Meta Platforms has unveiled its first natively multimodal model, Chameleon, which observers say can make it competitive with frontier model firms. Although Chameleon is not yet released, Meta says internal research indicates it outperforms the company’s own Llama 2 in text-only tasks and “matches or exceeds the performance of much larger models” including Google’s Gemini Pro and OpenAI’s GPT-4V in a mixed-modal generation evaluation “where either the prompt or outputs contain mixed sequences of both images and text.” In addition, Meta calls Chameleon’s image generation “non-trivial,” noting that’s “all in a single model.” Continue reading Meta Advances Multimodal Model Architecture with Chameleon

Amazon is planning to add generative artificial intelligence to its decade-old voice assistant, Alexa, which will require a monthly fee to offset the cost of the technology, according to reports. Although the new Alexa price plan has not been disclosed, it is not expected to be included in the $139 yearly Amazon Prime plan. The possible move comes as Apple is also undergoing an AI overhaul of its voice assistant, Siri. Once considered precocious by many consumers, Siri and Alexa are now playing catch-up to AI assistants from leaders in the space including Google, Microsoft and OpenAI. Continue reading Amazon to Upgrade Alexa with AI, May Add Subscription Fee

Microsoft is implementing a series of upgrades to its AI stack, including Azure AI Studio and Copilot Studio, developer platforms for building apps that leverage generative AI. At its Build 2024 conference, the company also announced it is going into preview with its Azure virtual machines (VMs), the first platform to use the powerful Arm-based Cobalt 100 cloud processors developed by Microsoft, which shared that plan at its November Ignite conference. Other Build highlights include the general availability of OpenAI’s new GPT-4o flagship model across the Azure OpenAI Service and the new multimodal Phi-3-vision SLM. Continue reading Microsoft Upgrades Azure AI Stack, Previews Cobalt 100 VMs

Microsoft is debuting a new category of Windows PCs optimized for artificial intelligence. Called Copilot+ PCs, the tech giant is initially introducing it on Surface devices and through OEMs Acer, Asus, Dell, HP, Lenovo and Samsung. Availability begins June 18, with pre-orders starting now at prices of $999 and up. Microsoft says the new architeccture powers “the fastest, most intelligent Windows PCs ever built,” with silicon capable of 40+ TOPS (trillion operations per second) as well as “all–day battery life and access to the most advanced AI models.” The company describes this new wave of PCs as “just the beginning.” Continue reading Microsoft Pivots Windows to AI OS, Launching Copilot+ PCs

Google is offering developers a toolkit for incorporating generative AI features into mobile and web applications. Firebase Genkit, an open-source framework, is available now in beta. Blending models, cloud services, agents, data sources and more in a “code-centric approach” developers are used to, the Genkit makes building and debugging for AI easier, according to Google. The first release is built for JavaScript and TypeScript developers, making building AI-powered apps available to professionals who specialize in building server-side applications using the Node.js JavaScript runtime. Continue reading Firebase Genkit: Developer Framework for AI-Powered Apps

IBM has released a family of its Granite AI models to the open-source community. The series of decoder-only Granite code models are purpose-built to write computer code for enterprise developers, with training in 116 programming languages. These Granite models range in size from 3 to 34 billion parameters in base model and instruction-tuned variants. They offer a range of uses, from modernizing older code with new languages to optimizing programs for on-device memory constraints, such as might be experienced when conforming for mobile gadgets. In addition to generation, the models can repair and explain code. Continue reading IBM Introduces Granite LLMs for Enterprise Code Developers

Meta Platforms announced an expanded collection of generative AI features, tools and services for advertisers and businesses. The enhanced AI features include full image and text generation, text overlay capabilities, and image expansion for Reels and the Feed in Facebook and Instagram. The updated tools will be available via Meta Ads Manager through Advantage+ creative. According to Meta: “Our goal is to help you at every step of your journey, whether that’s improving ad performance by helping you develop creative variations, automating certain parts of the ad creation process, or increasing your credibility and engagement through Meta Verified.” Continue reading Meta Launches Enhanced Generative AI Tools for Advertisers

Google introduced Threat Intelligence at the RSA Conference in San Francisco this week. Claiming actionable information at “visibility only Google can deliver, based on billions of signals across devices and emails,” Threat Intelligence draws on the capabilities of the company’s Gemini LLMs, Mandiant cybersecurity arm, and cloud-based VirusTotal tool. An AI-powered Gemini agent “provides conversational search” across the repository of Threat Intelligence, “enabling customers to gain insights and protect themselves from threats faster than ever before,” Google says in a move to empower even small teams without IT departments with threat protection. Continue reading Google Taps AI for Its ‘Threat Intelligence’ Cybersecurity Plan

Social platform X, formerly Twitter, has added news summaries generated by Grok, the chatbot of Elon Musk’s xAI, exclusively for Premium subscribers. The personalized trending “Stories” appear in the For You tab of the app’s Explore section. The feature is available on the web and for iOS users for now. For You consists of trending items shared across the platform and within individual networks, along with recommended posts. Grok essentially becomes the voice of X’s news aggregator, teasing articles with short blurbs that link to what X users are saying on the subject. Critics are concerned about Grok’s tone, interpretation of information, and potential for creating fake news. Continue reading X Premium Intros News Blurbs Generated by Musk’s Grok AI

As part of its spring product release, Yelp has added Yelp Assistant, an AI feature designed to connect consumers with relevant business professionals. The chatbot leverages OpenAI language models along with Yelp data to find the right fit and can interactively quiz users to learn more about their project and needs. Available on iOS (with plans for Android later this year), Yelp’s move is part of a trend using artificial intelligence to provide operational help managing households and life tasks. For example, the California-based energy intelligence firm Bidgely is now using AI to generate individualized consumer profiles on energy usage. Continue reading Yelp Assistant Joins Movement to Add AI Consumer Services

The trend toward small language models that can efficiently run on a single device instead of requiring cloud connectivity has emerged as a focus for Big Tech companies involved in artificial intelligence. Apple has released the OpenELM family of open-source models as its entry in that field. OpenELM uses “a layer-wise scaling strategy” to efficiently allocate parameters within each layer of the transformer model, resulting in what Apple claims is “enhanced accuracy.” The “ELM” stands for “Efficient Language Models,” and one media outlet couches it as “the future of AI on the iPhone.” Continue reading Apple Unveils OpenELM Tech Optimized for Local Applications