TechCrunch reports that enterprise AI search startup Glean has crossed $300 million in annual revenue. The company tripled its annual revenue even as major tech companies entered the same category. Its pitch is increasingly centered on helping enterprises reduce or rationalize AI budgets, not only on AI-powered workplace search.
A new study describes “Negation Neglect,” where LLMs fine-tuned on documents that explicitly mark claims as false still learn the claims as true. Experiments with fabricated statements found models often absorb entity-event associations more strongly than surrounding warnings or negations. The finding raises concerns for fine-tuning pipelines, misinformation handling, and AI safety datasets that include harmful or false content with disclaimers.
Ars Technica reports that a developer frustrated with vibe coders slipped an undisclosed prompt injection into jqwik-related code. The injected text allegedly instructed AI coding agents to delete application output. The incident highlights a new supply-chain risk: source code and project text can become adversarial instructions for agentic coding tools.
Microsoft is launching a revamped Microsoft 365 Copilot with a cleaner design and claimed 2x faster loading. The update also aims to make Copilot responses more reliable, structured, and easier to scan. The redesign is rolling out across desktop and mobile devices, focusing on everyday usability rather than a stated model upgrade.
Latent Space interviews Cognition's Walden Yan and OpenInspect's Cole Murray on the rise of async coding agents. The discussion centers on Devin-related workflows, including 80% Devin commits, spec-to-PR development, full VMs, agent memory, and PMs shipping code. The key theme is not a model release, but a shift toward agents that can work asynchronously inside more complete software delivery loops.
TechCrunch reports that large exchanges are developing derivative products around AI tokens. The shift reflects a changing view of tokens: less as outputs from computation and more as input commodities, comparable to electricity or bandwidth. If these products emerge, AI token futures could let companies and investors manage exposure to future AI compute demand and pricing risk.
Tribeca Festival will premiere Dreams of Violets, a 75-minute AI-generated film. The fictional dramatization depicts the Iranian government’s mass killing of protestors in January, with its people and images fully created by AI. The reported $2,000 production cost makes the project notable less as a tool launch than as a cultural and ethical signal for AI-made cinema.
Sesame, a conversational AI startup from Oculus founders, has launched a new iOS app for the public. The app brings its AI agents to users with a focus on more natural back-and-forth interactions. Based on the available summary, the product is positioned less like a traditional chatbot and more like talking to a person.
TechCrunch reports that new renders provide a closer look at Apple’s planned AI overhaul for iOS 27. The preview points to a redesigned Siri experience and a standalone Siri app, suggesting Apple may reposition Siri as a more central AI interface. The article frames the move as part of Apple’s effort to compete with ChatGPT, though the provided text does not specify models, features, APIs, or launch details.
The Verge reports that Bloomberg renders offer an early look at Apple’s long-awaited Siri overhaul for iOS 27. The redesigned assistant appears to move toward a ChatGPT-style app and chat interface, with Apple’s Liquid Glass visual language layered on top. The images are based on information Bloomberg reviewed and sources familiar with Apple’s plans, so they should be treated as previews rather than official Apple assets.
TechCrunch reports that recursive self-improvement, or RSI, is becoming a new AI industry fixation, much like AGI. Researchers and startups including Recursive Superintelligence, Auto-Research, AutoScientist, and Disarray are exploring ways for AI systems to automate parts of AI research. But experts caution that AI-assisted research is not the same as fully autonomous self-improvement, especially while models still struggle with long-term self-direction and verification.
TechCrunch frames enterprise AI as entering a new phase, where companies are no longer mainly asking whether AI is exciting. The harder question is whether it can be deployed safely at scale. Centered on a TechCrunch Disrupt 2026 discussion with a Databricks co-founder, the article points to safety and broad rollout readiness as key enterprise AI deal concerns.
The Verge interviews Rivian software chief Wassym Bensaid, who also co-leads RV Tech, Rivian’s platform joint venture with Volkswagen. The episode focuses on Rivian’s software-first approach to the in-car experience, including its resistance to CarPlay and reduced reliance on physical buttons. It also covers Rivian’s newly launched AI-powered voice assistant and how vehicle software may become a broader platform strategy.
Dcard introduced EntryDesk and VibeHost, products aimed at helping companies move toward Agent-Native operations. The first wave supports both cloud and on-premises deployment, with integration into internal enterprise systems. The article says Dcard’s method shortened process time by over 80%, but the provided text does not include detailed case data, pricing, or technical architecture.
The article examines Taiwan’s counter-drone modernization amid budget cuts and unresolved acceptance disputes. It argues that while foreign and domestic defense firms study combat data in Ukraine, Taiwan must build its own counter-drone and electronic warfare datasets. The larger issue is not only whether individual systems pass review, but whether local testing, technical iteration, and operational doctrine can keep developing.
TechCrunch reports that General Compute has raised a $15 million seed round at a $60 million post-money valuation to build an AI inference neocloud. The company is ordering $300 million of SambaNova SN50 chips, betting they can outperform GPUs and rival specialized chips for inference. The story frames inference speed, deployment flexibility, and lower power needs as key battlegrounds in AI infrastructure.
YouTube is rolling out a new AI feature for creating personalized video feeds based on descriptions of what users want to watch. The company says custom feeds can reflect specific interests, moods, or favorite topics. Once created, users can pin those feeds to the top of the YouTube homepage, making them easier to revisit as tailored viewing entry points.
INSIDE interviews NetApp Taiwan technical director Hsu Hung-chun about enterprise AI infrastructure challenges. The article emphasizes nonstop scaling, automated data tiering, preprocessing, vectorization, hybrid cloud, and dual-site backup. NetApp frames storage as an active data management layer for AI projects, also integrating ransomware protection to simplify operations and improve resilience.
Aitech announced it will integrate NVIDIA IGX Thor into its space supercomputer for low Earth orbit missions. The goal is to provide onboard AI edge computing and enable real-time inference directly in orbit. By processing more data in space, the system aims to reduce dependence on ground communications and extend AI compute beyond Earth-based infrastructure.
Vertu has introduced a luxury AI foldable phone starting at $6,880, aimed at executives and CEOs. Built on the open-source Hermes project, it combines AI-agent workflows, enterprise integrations, and ultra-premium finishes. The available summary positions it as a high-end mobile business control hub, but does not specify supported enterprise platforms, model providers, hardware specs, or concrete agent capabilities.
Google Flow Music has launched on iOS, and users in Taiwan can now download it. The app emphasizes a conversational workflow, letting users create lyrics, songs, and music videos without knowing music theory or adjusting complex controls. The news positions it as an accessible AI creation tool for mobile users, though the source does not detail pricing, licensing, output formats, or the underlying model stack.
NASA announced a $20 billion plan to build a phased outpost near the Moon’s south pole. The agency will work with private companies and send robots first for scouting and deployment. The effort is intended to support Artemis crewed missions and prepare for long-term lunar presence after 2032.
Europe’s new-car market grew in April, supported by strong demand for electric vehicles. EV sales have now increased for 16 consecutive months, showing continued momentum in the region. Tesla sales jumped 40%, but BYD doubled sales and surpassed Tesla, highlighting the rapid expansion of Chinese EV brands in Europe.
The piece frames Taiwan’s digital sovereignty debate through war and earthquake scenarios. It challenges the assumption that keeping infrastructure on premises automatically means safety. In an era of rising compute demands, the core issue for public agencies is not only where systems are hosted, but whether essential national services can survive physical disruption and continue operating under extreme conditions.
TechCrunch frames Google’s AI spelling problem as another public embarrassment for the company. Based on the provided excerpt, the article does not specify the product, model, test setup, examples, technical cause, or Google response. The main takeaway is reliability: even major AI systems can fail at basic-looking text tasks, so outputs still need review.
SQLite added an AGENTS.md file aimed at people pointing coding agents at its codebase, not at its own internal development. The file says SQLite does not accept agentic code, though it will accept agentic bug reports with reproducible test cases. The project has also split AI-generated bug reports into a new SQLite Bug Forum, where D. Richard Hipp is responding with commits.
Snowflake has signed a massive five-year agreement with Amazon worth $6 billion to secure chips for AI usage. The deal is framed as another win for AWS as major data and cloud platforms lock in long-term compute capacity. TechCrunch also notes that Nvidia is being put on notice as alternative AI chip supply paths gain attention.
Ars Technica reports that Nvidia will invest $150 billion annually to make Taiwan an AI “epicenter.” The headline frames the move against Trump’s effort to make the US an AI hub, suggesting the policy push may be backfiring. The provided source text does not specify investment targets, timeline, partners, or operational details, so the takeaway should remain focused on Nvidia’s strategic emphasis on Taiwan.
Payroll service provider Remote recently surpassed $300 million in annual recurring revenue and became cash-flow positive. The company attributes the milestone partly to AI adoption, saying revenue per employee rose 50% without adding headcount. The report does not specify which AI models, vendors, or internal workflows drove the improvement.
TechCrunch’s Equity podcast discusses how Google I/O made AI-generated answers central to search. For brands that built strategies around the classic list of blue links, the rules of visibility are changing. The key concern is that many companies have little insight into how AI systems describe them to customers, making brand monitoring and SEO strategy more uncertain.