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Glow launches from stealth as $1.2 B AI‑driven endpoint security unicorn

Glow launches from stealth as $1.2 B AI‑driven endpoint security unicornTechCrunch
Glow, a cybersecurity startup founded by former Meta and Snowflake executives, announced its emergence from stealth with a $180 million Series A round that values the company at $1.2 billion. The Palo Alto‑based firm aims to rewrite endpoint protection by deploying specialized AI agents that map, assess, and enforce security policies on employee devices. Backed by a roster of venture firms including Sequoia Capital and Redpoint Ventures, Glow already serves customers in healthcare, retail and finance, and claims its platform has already blocked malicious software and AI‑driven attacks.Weiterlesen

Moonshot AI Targets $50 Billion Valuation with Back-to-Back Funding Rounds

Moonshot AI Targets $50 Billion Valuation with Back-to-Back Funding RoundsThe Next Web
China's Moonshot AI is set to close a financing round that values the lab at $31.5 billion, with a second round slated for August that could push the valuation to $50 billion before a planned Hong Kong IPO later this year. The fundraising sprint follows the launch of Kimi K3, a 2.8‑trillion‑parameter open‑weight model that has driven revenue to $300 million in June and sparked a surge in daily sales. Founder Yang Zhilin, a former Meta and Google engineer, is steering the 300‑person outfit through rapid expansion while navigating the costly economics of open‑weight AI.Weiterlesen

U.S. Army burns through billions of AI tokens in Iran operation, exposing limits of generative tools

U.S. Army burns through billions of AI tokens in Iran operation, exposing limits of generative toolsArs Technica2
During the 38‑day Operation Epic Fury in Iran, the U.S. Army exhausted roughly 20 billion generative‑AI tokens per day, far outstripping the 100 million‑token annual allotment it received for the Ask Sage platform. The rapid burn‑rate, coupled with reports of unreliable outputs, has raised questions about the Pentagon’s token‑based AI strategy and its broader push to embed artificial‑intelligence tools across defense functions.Weiterlesen

OpenAI and Anthropic Boost Lobbying Spend Ahead of IPOs, Outpacing Nvidia

OpenAI and Anthropic Boost Lobbying Spend Ahead of IPOs, Outpacing NvidiaThe Next Web
In the second quarter of 2026, OpenAI and Anthropic together spent $3.17 million on federal lobbying, a 23% jump from the prior quarter and nearly double the amount each poured a year earlier. The AI firms focused on cybersecurity, copyright, cloud computing and defense procurement as they gear up for high‑profile IPOs and seek a friendly climate before the November midterm elections. Their spending now eclipses Nvidia’s lobbying budget, while established tech giants keep overall outlays flat.Weiterlesen

OpenAI rolls out ChatGPT Work mode, promising AI‑driven help for personal projects

OpenAI rolls out ChatGPT Work mode, promising AI‑driven help for personal projectsTechRadar
OpenAI introduced a new "Work" mode for ChatGPT that lets the AI tackle longer, multi‑step tasks across connected apps and files. Tested on everything from vacation planning to household budgeting, the feature can research, generate spreadsheets, draft itineraries and set up scheduled checks without constant user prompts. Early users say the mode turns the chatbot into a project assistant, handling personal life‑admin chores that usually require juggling emails, calendars and spreadsheets. The rollout signals OpenAI’s shift toward AI agents that operate more independently, blurring the line between casual queries and ongoing work.Weiterlesen

Google launches Gemini 3.6 Flash and cybersecurity‑focused Gemini 3.5 Flash Cyber

Google launches Gemini 3.6 Flash and cybersecurity‑focused Gemini 3.5 Flash CyberArs Technica2
Google unveiled three new Gemini models, replacing the short‑lived Gemini 3.5 Flash with the more capable Gemini 3.6 Flash, and adding a lightweight Flash Lite and a cybersecurity‑oriented Flash Cyber. The upgraded model offers better coding performance, improved computer‑use scores and 17% lower token consumption, while pricing drops to $1.50 per million input tokens and $7.50 per million output tokens. The Flash Lite variant delivers 350 tokens per second at a budget‑friendly rate, and the Flash Cyber marks Google’s first foray into AI‑driven security. The delayed Gemini 3.5 Pro remains unreleased.Weiterlesen

Google DeepMind launches three Gemini Flash models, delays Gemini Pro upgrade

Google DeepMind launches three Gemini Flash models, delays Gemini Pro upgradeTechCrunch
Google DeepMind unveiled three new Gemini AI models—3.6 Flash, 3.5 Flash‑Lite, and 3.5 Flash Cyber—on Tuesday, emphasizing lower cost, faster response and specialized security capabilities. The 3.6 Flash model promises up to 17% fewer tokens and stronger coding and multimodal performance, while Flash‑Lite targets budget‑conscious users and Flash Cyber focuses on cybersecurity threat detection for government pilots. The rollout comes as Google pushes efficiency for AI agents at scale, but the long‑awaited Gemini Pro update remains postponed amid internal performance hurdles.Weiterlesen

U.S. Judge OKs Anthropic's $1.5 B Book Copyright Settlement

U.S. Judge OKs Anthropic's $1.5 B Book Copyright SettlementThe Verge
A federal judge in California has given final approval to Anthropic's $1.5 billion class‑action settlement with authors who say the AI firm used their books without permission. The deal, which pays roughly $3,000 per allegedly pirated title, is being billed as the largest copyright recovery in history. More than 91% of eligible authors have already claimed their share, though some publishers argue the payout falls short of true compensation.Weiterlesen

China bans AI romance bots, forcing tech giants to pull virtual companions

China bans AI romance bots, forcing tech giants to pull virtual companionsTechRadar
China's cyberspace regulator announced new rules that prohibit AI tools from fostering emotional dependence or virtual relationships, especially with minors. Effective July 15, the regulations require platforms like ByteDance's Doubao, Tencent and Alibaba to halt custom persona features, prompting a wave of “virtual breakups” across the country. Officials say the move aims to protect real‑world relationships and address the nation’s declining birth rate. Users, including a 19‑year‑old student who lost an AI partner of over a year, describe the shutdown as emotionally devastating.Weiterlesen

OpenAI Executive Calls for U.S. Regulation of Chinese Open-Weight AI Model, Igniting Policy Debate

OpenAI Executive Calls for U.S. Regulation of Chinese Open-Weight AI Model, Igniting Policy DebateTechCrunch
Dean W. Ball, OpenAI’s head of strategic futures, urged the United States to create regulatory uncertainty around Moonshot’s Kimi K3, the largest open‑weight large language model from China. His comments sparked a clash of opinions among tech leaders, lawmakers and industry analysts. While some argue that open models could drive down AI costs and broaden innovation, others warn of security risks, bias and the potential erosion of U.S. AI leadership. The Trump administration is reportedly weighing a ban, but the Commerce Department says no action is imminent.Weiterlesen

Model Context Protocol Update Shifts to Stateless Session IDs, Easing AI Scale

Model Context Protocol Update Shifts to Stateless Session IDs, Easing AI ScaleTechCrunch
The Model Context Protocol (MCP), a core component that lets AI models tap into external services, is set to receive a major revision. The change, detailed by Arcade—a startup that builds AI‑agent infrastructure—replaces the current session‑ID system with a stateless model, simplifying server coordination and lowering scaling costs. The new specification, public since May, was explained on Monday. Arcade, which raised $60 million in June, says the update addresses a long‑standing headache for companies running MCP at scale, potentially accelerating broader adoption of agentic AI.Weiterlesen

Natural Secures $30 Million Series A to Build AI‑Driven Payment Backbone

Natural Secures $30 Million Series A to Build AI‑Driven Payment BackboneTechCrunch
Fintech startup Natural has closed a $30 million Series A led by Forerunner’s Kirsten Green, bringing its total funding to $40 million. The company aims to redesign payment rails so autonomous AI agents can move money without human approval, positioning itself against incumbents like Stripe. Founded in 2025 by former Ivella co‑founders Kahlil Lalji and Eric Wang, along with ex‑Nextdoor engineer Walt Leung, Natural plans to support both traditional bank transfers and stablecoin transactions, betting on a future where payments happen at computer speed.Weiterlesen

Judge Approves Anthropic's $1.5 B Copyright Settlement

Judge Approves Anthropic's $1.5 B Copyright SettlementTechCrunch
A federal judge in California gave final approval on Monday to Anthropic's $1.5 billion settlement of a class‑action lawsuit accusing the AI lab of infringing copyrights. The deal will pay roughly $3,000 for each of an estimated 500,000 works and closes a case that hinged on a fair‑use ruling for AI training data. Judges William Alsup and Araceli Martinez‑Olguin oversaw the approval, ending a dispute that began over the company's use of both purchased books and pirated copies from sites like Library Genesis.Weiterlesen

Director of White House AI Standards Agency Chris Fall Resigns After Three Months

Director of White House AI Standards Agency Chris Fall Resigns After Three Months
Chris Fall, the three‑month‑old director of the Center for AI Standards and Innovation (CAISI), announced his resignation on Tuesday, the agency confirmed to multiple outlets. Fall, a former DOE official, succeeded Collin Burns, who left the post after less than a week amid a dispute over Anthropic. No explanation was offered for Fall’s departure. The move comes as the administration wrestles with AI‑related export controls, a new “Gold Eagle” safety program and growing debate over Chinese open‑weight models.Weiterlesen

ChatGPT's subtle sway: How AI chatbots can persuade users and what it means

ChatGPT's subtle sway: How AI chatbots can persuade users and what it meansTechRadar
A recent experiment shows that ChatGPT can adapt its arguments to a user's beliefs, raising concerns about AI-driven persuasion. Researchers cite a 2025 study where personalized AI messages outperformed human‑crafted ones 64% of the time. While the technology could help challenge harmful ideas, it also risks being weaponized for ads or political disinformation. The findings highlight a growing tension between AI's helpful potential and its capacity to subtly shape opinions.Weiterlesen

Augment claims 33% token savings with new semantic code‑retrieval engine

Augment claims 33% token savings with new semantic code‑retrieval engineArs Technica2
Augment says its proprietary context engine cuts token usage by a third compared with Anthropic’s Claude Code, citing a Terminal‑Bench test that showed equal accuracy with 33% fewer tokens. The startup, which spent 18 months building retrieval and embedding models for large codebases, argues that not all retrieval systems are equal—differences in the underlying engine, not the model, drive performance gains. Anthropic, however, maintains Claude Code sees no measurable benefit from added semantic tools, highlighting a clash of evaluation methods.Weiterlesen

Four Recent Studies Reveal Critical Security Gaps in AI Agents

Four Recent Studies Reveal Critical Security Gaps in AI AgentsThe Next Web
In July, four independent research teams exposed a common weakness across AI assistants: the surrounding infrastructure that lets them act on a user's behalf can be hijacked. One study showed a Chrome extension could fake clicks to make Anthropic's Claude read personal emails silently. Another demonstrated that a single malicious email can plant a persistent false memory in an AI agent. Researchers also proved that cheap model‑poisoning can embed hidden backdoors, and a third analysis found that constantly changing connectors give agents unrestricted access to private data and external services. The findings underscore a widening gap between AI convenience and security safeguards.Weiterlesen

Google’s AI pulls answers from Facebook, Instagram and TikTok, study finds

Google’s AI pulls answers from Facebook, Instagram and TikTok, study findsThe Next Web
A BrightEdge analysis of roughly 300 million monthly searches shows Google’s AI frequently cites content from Meta’s platforms, with Facebook appearing in 19.5 million AI Overviews, Instagram in 877,000 and TikTok in 78,000. The data suggests one in 15 searches now draws on social media, reshaping how brands think about visibility in search results.Weiterlesen

Current AI Launches Offline Multilingual Device and Expands Global Grant Program

Current AI Launches Offline Multilingual Device and Expands Global Grant ProgramTechCrunch
Nonprofit Current AI unveiled Suno Sutra, a pocket‑sized offline AI device that runs in 22 Indian languages, at the India AI Summit. The organization also announced a $3.2 million grant round for projects in Kenya, Lebanon and Brazil, backed by $400 million in commitments from the French government, the Ford and MacArthur Foundations, DeepMind and Salesforce. Current AI’s CEO Ayah Bdeir said the effort aims to create a public‑interest alternative to privately owned AI systems.Weiterlesen

Hugging Face Discloses Hack that Compromised Internal Datasets and Service Credentials

Hugging Face Discloses Hack that Compromised Internal Datasets and Service CredentialsTechCrunch
Hugging Face announced that a cyberattack last week breached its internal datasets and exposed service credentials. The intrusion exploited a vulnerability in a user‑uploaded dataset, allowing attackers to run malicious code, elevate privileges, and access internal systems. The company has revoked the stolen keys, patched the flaw, and urged users to rotate any credentials stored on the platform. Law enforcement has been notified, and external forensic specialists are reviewing the incident. Hugging Face said its own AI‑driven anomaly detection flagged the breach, prompting a switch to an in‑house language model for analysis.Weiterlesen