YouTube is clarifying monetization rules for repetitive AI-generated videos, synthetic personas, and low-effort content in its Partner Program.
The post YouTube Tightens Monetization Rules for AI-Generated and Low-Quality Content appeared first on TechRepublic.
Hugging Face says an autonomous AI agent carried out a cyberattack against its production systems, highlighting the growing role of AI in offensive and defensive cybersecurity.
The post Hugging Face Says Autonomous AI System Executed Multi-Stage Cyberattack appeared first on TechRepublic.
Publishers and author Scott Turow sued Google, alleging it used copyrighted books and articles to train Gemini without permission.
The post Google Hit With New Copyright Lawsuit Over Gemini AI Training appeared first on TechRepublic.
Meta scrapped a Muse Image feature days after launch following backlash over consent, privacy, and the use of public Instagram photos.
The post Meta Removes Muse Image Instagram Feature After Consent Backlash appeared first on TechRepublic.
Google is adding AI disclosure labels to ads on Search, YouTube, and Discover, but third-party AI use still depends on advertiser reporting.
The post Google Will Now Tell You If That Ad Was Made With AI appeared first on TechRepublic.
OpenAI is facing calls for "serious sanctions" after fighting to keep news organizations from snooping through millions of logs to find evidence of users skirting their paywalls by prompting ChatGPT to regurgitate their articles.
This evidence is considered among the most important to both sides, potentially either dooming OpenAI as an infringer or exonerating its chatbot technology as a transformative fair use of news sites' content.
In a sanctions motion Thursday, news organizations suing OpenAI—led by The New York Times—accused the AI firm of repeatedly lying for years to conceal evidence of infringement that could hobble OpenAI's defense.
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One of the most horrific cases of allegedly Grok-generated child sex images was shared in a proposed class action lawsuit that was expanded Tuesday. Now, young girls not only accuse X and xAI of building toxic AI "nudify" tools but also of shielding child predators by obstructing police investigations into Grok-generated child sex abuse materials (CSAM).
In March, a girl’s stepfather took his own life after cops discovered that he had used Grok to create 7,000 sexually explicit images using one photo taken when his stepdaughter was 11 years old, the amended complaint alleged.
Grok allowed the man to generate extreme images depicting incest and rape without flagging any harmful behavior, the complaint said. Seemingly, xAI’s child safety system only intervened after the man input a prompt for “gang rape.” That request sent a CyberTip to the National Center for Missing and Exploited Children (NCMEC), which alerted law enforcement to the AI CSAM.
© NurPhoto / Contributor | NurPhoto
Meta Muse Image brings AI image generation to Instagram, WhatsApp, and Meta AI. Here’s what users should know about features and privacy.
The post Meta’s Muse Image Explained: What to Know About the New AI Image Model appeared first on TechRepublic.
Google Search uploads may be used to train AI unless users opt out, raising privacy and data governance concerns for businesses.
The post Google Search Uploads Can Train AI Unless You Opt Out appeared first on TechRepublic.
Rohit Talluri learned the tradition at Amazon: always keep an empty chair in the room to represent the customer — a reminder of the people who will ultimately use whatever gets built.
Now, with AI coding tools creating software faster than ever, Talluri and his co-founders, fellow Amazon veterans Jean Farmer and Gabriel Fong, recognize that the customer can be easily forgotten in the process. So they’re creating a seat at the table for AI agents.
That’s the idea behind Primitive Labs. The startup is building what it calls behavioral intelligence: systems that observe, reason and act as customers would across software platforms and devices, helping product teams learn how people will react to a new feature, design or marketing decision before it ships.
Traditional user research and focus groups can take weeks or months, so teams under pressure to ship quickly are tempted to skip them. Primitive Labs is automating that research with agents that simulate human behavior, aiming to make it a routine step in building software.
“It’s bringing humans back to the center of a world that’s created by AI,” Talluri said. “That is the goal here.”
The mission, according to the startup’s launch post, is to “make human behavior a first-class primitive of software development.” That’s the inspiration for Primitive Labs’ name. The idea is to build products that people will understand, trust and keep using — not the average user, but specific types of users in specific contexts.
Founding team: Talluri, the Primitive Labs CEO, is joined by co-founders Farmer, CTO; and Fong, COO.
Fong and Talluri have worked together since 2020. At AWS in Seattle, Fong held product marketing and enterprise account roles, then led sales and marketing at the cloud consultancy DoiT International.
At Primitive Labs, his role runs broader than sales and marketing, spanning product direction, customer development and operations. Talluri describes him as highly technical and a hands-on contributor to the company’s core product work.
Farmer and Talluri worked together at AWS on large-scale machine-learning infrastructure, including the SageMaker HyperPod training service, before both moved into Amazon’s AGI organization.
Farmer worked on the Amazon Nova models’ ability to use software tools — designing how the models call tools and take actions, and building the systems to test and measure how well the resulting agents perform. That work included benchmarks for the Model Context Protocol (MCP), the emerging standard for connecting AI models to outside tools and data.
Roots in AI autonomy: Talluri joined the AGI Autonomy Lab, the group Amazon assembled around talent it hired from Adept, a San Francisco startup building AI agents that operate software on their own.
Amazon had brought on Adept’s CEO, David Luan, a former OpenAI executive, along with other co-founders in 2024, and licensed the startup’s technology, putting Luan in charge of the lab. Talluri worked there on computer-use agents and helped launch Nova Act, Amazon’s agentic computer-use model.
Talluri said he initially came close to leaving Amazon in 2025 to start a company, before leaders there steered him toward the Autonomy Lab to work under Luan (who has since left Amazon).
Funding: Primitive Labs has raised a pre-seed round, led by a16z Speedrun and joined by several small, newer venture funds and a group of angel investors. The company isn’t disclosing the funding amount.
Its launch post lists backers including Olive Tree Capital, Cloverfield Fund and Unexpected Investments (from former TechCrunch editor Josh Constine), plus angels such as Luan, Harsh Patel and Artur Kiulian, and others with backgrounds at OpenAI, Amazon, Google DeepMind, Databricks, Nvidia and Meta.
Primitive Labs will join a16z Speedrun’s cohort starting this month, and expects to raise its next round around the end of the program, in September or October.
Headquarters: The company is based in San Francisco, where it’s working part-time out of a16z’s Speedrun space, with plans to get its own office after making its first hires.
Talluri, a University of Washington graduate who read GeekWire as a student and dreamed of launching a startup of his own, said the choice came down to San Francisco’s talent density and the pace of AI research there, plus the Speedrun program being there.
Primitive Labs posted its first job listings last week — for founding engineers, researchers and an intern, in San Francisco or New York.
Product status: The company is pre-revenue and working with a small group of early customers who are testing its product and helping shape it, including private previews with what Talluri described as Fortune 500 and Fortune 50 consumer-technology and e-commerce brands.
The company plans to launch its products in general availability later this year.
How it works: The agents work across devices including computers and phones, focused for now on digital products and customer journeys. The company says it has also explored using them to gauge reactions to physical products, such as brand and packaging.
The underlying research draws on computational cognitive science, continual learning and custom memory systems modeled on how people store information — work Talluri said the company plans to publish and partly open-source in the coming months.
While other startups are working on agent-based simulation and automated testing of user interfaces, what sets Primitive Labs apart, Talluri said, is the focus on human alignment. That means building agents that faithfully represent a specific product’s users, and making that a standard layer of how software gets built. He described the key measure as behavioral fidelity, or how closely an agent’s choices track human decisions.
Asked whether the startup will keep a chair empty when it gets an office, in the Amazon tradition, Talluri didn’t hesitate. “100%,” he said. And yes, he said, they’ll be envisioning an agent sitting there.
New data from Ramp and Revelio show that intensive Gen AI adoption is linked to higher headcount and more entry-level hiring, challenging fears that “AI kills jobs” and reshaping IT leaders’ strategies.
The post Data From 21,000 Firms Reveals: AI Spending Is Creating Jobs, Not Killing Them appeared first on TechRepublic.
Google’s Nano Banana 2 Lite shows how faster, cheaper AI image generation could reshape creative workflows and business tools.
The post 5 Things Google’s Nano Banana 2 Lite Reveals About the Future of AI Images appeared first on TechRepublic.
Claude Sonnet 5 brings stronger agentic AI features, lower pricing, and updated safety protections. Here's what IT leaders need to know.
The post Claude Sonnet 5: Everything to Know About Anthropic’s New Model appeared first on TechRepublic.
There are plenty of AI image-generation models these days, but the ones capable of quality outputs tend to be slow and expensive. Google DeepMind says its new image model, known as Nano Banana 2 Lite, offers the best balance of quality and speed. It's available today across the Google ecosystem, creating images in a fraction of the time it takes Google's beefier models.
The new model is part of the Gemini 3.1 family—it's technically called Gemini 3.1 Flash Lite Image. On one hand, Google says this model is ideal for exploring ideas and "rapid-fire" prototyping, applications in which quality can take a backseat. However, the company has also provided some examples aimed at showing how close Nano Banana 2 Lite can get to the quality of its other image models.
A comparison of Nano Banana 2 Lite with the non-Lite version.
Credit:
Google
In addition to the examples, Google also has Elo scores from Arena.ai ready to go, showing that users rate Nano Banana 2 Lite outputs almost as highly as the non-Lite versions. However, vibemarking doesn't always focus on the details that can make AI images look silly upon closer inspection. Google notes that Nano Banana 2 Lite tends to have more trouble with text, particularly if it's very small, and infographics are more likely to include incorrect data. Characters and people may also show poor consistency across iterations.
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