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In a significant shift toward local-first privacy infrastructure, OpenAI has released Privacy Filter, a specialized open-source model designed to detect and redact personally identifiable information (PII) before it ever reaches a cloud-based server. Launched today on AI code sharing community Hugging Face under a permissive Apache 2.0 license, the tool addresses a growing industry bottleneck: the risk of sensitive data "leaking" into training sets or being exposed during high-throughput inference. By providing a 1.5-billion-parameter model that can run on a standard laptop or directly in a web browser, the company is effectively handing developers a "privacy-by-design" toolkit that functions as a sophisticated, context-aware digital shredder. Though OpenAI was founded with a focus on open source models such as this, the company shifted during the ChatGPT era to providing more proprietary ("closed source") models available only through its website, apps, and API — only to return to op



Microsoft's LinkedIn named Chief Operating Officer Daniel Shapero as its new CEO, tapping a veteran of the professional networking site to lead it through an era of AI-driven change. Shapero, who joined LinkedIn in 2008 as a general manager for the LinkedIn Research Network, will replace Ryan Roslansky as CEO. The leadership shake-up, effective immediately, comes as LinkedIn looks to deepen its role at the center of an AI-transformed workforce.

Mira Murati's Thinking Machines Lab has signed a multi-billion-dollar deal with Google Cloud for AI infrastructure powered by Nvidia's latest GB300 chips, TechCrunch has exclusively learned.

Google revealed two AI chips, increasing its competition with Nvidia.

The cyber capabilities of AI models have experts rattled. AI’s social skills may be just as dangerous.

One group of hackers used AI for everything from vibe coding their malware to creating fake company websites—and stole as much as $12 million in three months.

The AI Overviews will offer instant summaries pulled from across multiple emails.

Investing.com -- Alphabet (NASDAQ:GOOGL) shares rose 1.7% Wednesday following the company’s announcement of new artificial intelligence infrastructure and partnerships at its Cloud Next ’26 conference.

Checkr hires ZipRecruiter veteran Tim Yarbrough as its new CFO.

On May 8, we’re going live to answer your questions about the Musk v. Altman trial that could determine the fate of OpenAI.

European innovation is battling big tech — and bigger walls.

Article URL: https://github.com/dageno-agents/geo-content-writer Comments URL: https://news.ycombinator.com/item?id=47859983 Points: 3 # Comments: 0

Article URL: https://globeopinion.substack.com/p/ai-was-ruining-my-college-philosophy Comments URL: https://news.ycombinator.com/item?id=47856742 Points: 1 # Comments: 0
Article URL: https://www.coreauto.com/ Comments URL: https://news.ycombinator.com/item?id=47859266 Points: 1 # Comments: 0

Schematic, a startup that aims to simplify pricing and packaging for software and AI companies, has raised $6.5 million in seed funding, it tells Crunchbase News exclusively.

Less than a year ago, Apple made headlines for a lack of AI announcements at its annual WWDC event. Ten months later, the company has announced that hardware executive John Ternus will succeed longtime CEO Tim Cook as chief executive - and the official release doesn't mention AI once. Ternus, currently Apple's SVP of hardware engineering, will take over as CEO on September 1st, after Cook's decade and a half in the role. Ternus is a 25-year veteran of the company and the first Apple CEO in about 30 years to come from the hardware sector. According to Apple, he's led hardware engineering work for every model of iPad, as well as the most rec … Read the full story at The Verge.
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Gemini Enterprise Agent Platform takes an interesting approach: It is geared for IT and technical users.

Google, part of Alphabet (NasdaqGS:GOOGL), introduced its new TPU 8t and TPU 8i AI chips at Cloud Next, alongside a unified Gemini Enterprise Agent Platform. The company also launched a US$750 million fund aimed at speeding up enterprise adoption of AI agents. Google Cloud revealed new partnerships with Deloitte, Salesforce, Merck, Ulta Beauty, Oracle, and others to bring agentic AI tools into real world business operations. Alphabet, through Google Cloud, is pushing deeper into the AI...

Google's new generation of Tensor AI chips is actually two chips, one for inference and one for training.
Im a triathlete and the data for my training lives in 6 apps: Garmin, Strava, WHOOP, Intervals.icu, Wahoo, Withings, Apple Health, sometimes Hevy. Every morning Id eyeball a few of them and make a call on whether to do the planned session. For the past month I have been building a thing that does this for me, and got it to the point where I use it myself every day. It OAuths into whatever platforms you connect, reconciles the activities (tbh harder than it sounds — same ride shows up in Strava, Garmin, and Wahoo with different timestamps and rounding), computes daily load and readiness, and proactively messages you over Telegram or Whatsapp when something matters. Stack is straightforward: Typescript all the way, Postgres, an agent loop running on Claude (via Bedrock) with tool access to all your data + my computed metrics: zones, CTL/ATL/TSB, power/pace curves, anomaly detection on HRV and RHR, etc Two things that were harder than expected: 1. Garmins API only exposes the last 90 day

Google brings Gemini-powered "auto browse" capabilities to Chrome for enterprise users, letting workers automate tasks like research, data entry, and more.

When startup fundraising platform VentureCrowd began deploying AI coding agents, they saw the same gains as other enterprises: they cut the front-end development cycle by 90% in some projects. However, it didn’t come easy or without a lot of trial and error. VentureCrowd’s first challenge revolved around data and context quality, since Diego Mogollon, chief product officer at VentureCrowd, told VentureBeat that “agents reason against whatever data they can access at runtime” and would then be confidently “wrong” because they’re only basing their knowledge on the context given to them. Their other roadblock, like many others, was messy data and unclear processes. Similar to context, Mogollon said coding agents would amplify bad data, so the company had to build a well-structured codebase first. “The challenges are rarely about the coding agents themselves; they are about everything around them,” said Mogollon. “It’s a context problem disguised as an AI problem, and it is the number

Google will disclose a change in its AI processor strategy at its cloud computing event. Google stock has advanced nearly 8% in 2026.
![[AINews] OpenAI launches GPT-Image-2](https://zmstgxtziqmvvwzllahg.supabase.co/storage/v1/object/public/article-images/latent-space/0cd91719-50be-4c20-921b-4e63319caa15.jpg)
with Cursor getting a $10B contract with xAI and a right to acquire for $60B.

Google on Monday unveiled the most significant upgrade to its autonomous research agent capabilities since the product's debut, launching two new agents — Deep Research and Deep Research Max — that for the first time allow developers to fuse open web data with proprietary enterprise information through a single API call, produce native charts and infographics inside research reports, and connect to arbitrary third-party data sources through the Model Context Protocol (MCP). The release, built on Google's Gemini 3.1 Pro model, marks an inflection point in the rapidly intensifying race to build AI systems that can autonomously conduct the kind of exhaustive, multi-source research that has traditionally consumed hours or days of human analyst time. It also represents Google's clearest bid yet to position its AI infrastructure as the backbone for enterprise research workflows in finance, life sciences, and market intelligence — industries where the stakes of getting information wrong are e

As AI agents increasingly work alongside humans across organizations, companies could be inadvertently opening a new attack surface. Insecure agents can be manipulated to access sensitive systems and proprietary data, increasing enterprise risk. In some modern enterprises, non-human identities (NHI) are outpacing human identities, and that trend will explode with agentic AI. Solid governance and…

Skild AI has acquired Zebra Technologies’ robotics automation business, including its Symmetry Fulfillment orchestration platform. Central to the company’s plans is its “Skild Brain” – described as “the industry’s first omnibodied AI software designed to operate without prior knowledge of a robot’s exact body form” – is claimed to be able to control any robot, […]

Foxglove has launched “Data Search and Curation”, a new set of capabilities that helps robotics teams replace fragmented, manual data workflows with a unified platform to find and curate the mission-critical events, anomalies, and system behavior that matter most across growing volumes of operational data. The company also expanded the Foxglove Data Platform with Bring […]