Everything tagged ai, newest first. Tags come from the classifier reading each item's summary; 394 tags used 25 times or more have their own page.
Security teams are rapidly releasing patches in anticipation of a likely surge in AI-assisted attacks, aiming to harden systems before adversaries can exploit new automation-driven threats.
This Network Break episode covers follow-up on Cisco’s Teleport deal and Chinese models on U.S. public clouds, warns about critical HPE Aruba Networking Fabric Composer vulnerabilities, notes OpenAI and Anthropic outages plus upcoming Arista security disclosures, and begins broader news coverage.
Ryan speaks with PayPal CTO Srini Venkatesan about securing AI-generated deterministic code, building autonomous SDLC systems with iterative feedback loops, and delivering a smooth headless checkout experience.
The content introduces a glossary meant to help readers understand the growing vocabulary and slang that has emerged alongside the rise of AI.
Software engineering has shifted from debating coding styles to evaluating AI-assisted outcomes, where implementation is easier than ever but choosing the right solution, architecture, and business-aligned approach has become the real challenge and key measure of quality.
Modern AI can be understood through a human analogy: the model is the brain, training is schooling, RAG adds trusted outside knowledge, and agents give the system hands and feet to act in the world, helping explain how generative AI works, why it can hallucinate, and how it becomes more useful.
This update highlights a rapid wave of AI releases across major labs, with standout progress in open-source world models, interactive video generation, and Google’s new multivariate time-series foundation model, all emphasizing increasingly practical, reusable systems and broadly released training resources.
The content highlights GPT6 Astra’s breakthrough capabilities, especially in computer use, long-context memory, and 3D world creation, then showcases 20 striking examples from the internet—many practical, some astonishing—that suggest AI can now build complex interactive environments and workflows previously requiring teams of developers.
Last year’s flood of 49,000 CVEs highlights how manual network operations are overwhelmed, and this sponsored discussion with BackBox leaders explores whether AI can help network teams manage vulnerabilities and infrastructure more effectively.
The AI era has disrupted traditional enterprise buying patterns so dramatically that startups are still struggling to understand how to sell and grow effectively in this new market environment.
Abliteration.AI aims to make powerful AI models without guardrails easier to access, claiming that broader access for defenders could strengthen cybersecurity by matching bad actors’ capabilities.
The new Real World AI stage will explore how digital and physical worlds are increasingly converging, highlighting the many ways this blending will shape future experiences and applications.
Adele Trombetta argues that AI transformation is not just a technology challenge but a human one, and organizations should deliberately slow down at key moments to create space for strategic thinking, recalibration, and role redesign so people can work effectively alongside AI.
Mark Zuckerberg’s vision of broadly distributed personal AI, framed as “superintelligence,” is presented as a way to boost prosperity and prevent AI power from concentrating in a few government or corporate hands, while a roundtable questions whether wider access truly means wider control.
The video explains how to become an AI engineer from scratch by clarifying the role, why it pays well, and the seven skill areas needed to build real production AI systems without getting lost in endless tutorials.
The internet is facing a growing trust crisis as AI-generated text and images increasingly appear in social media, job applications, product reviews, and insurance claims, forcing platforms and users to struggle with verifying what is authentic.
Jio is offering a low-cost way to transform an aging computer into an AI-ready PC, charging about $11 for two months to make advanced computing more accessible.
Meta describes an AI “secondary expert” designed as an organizational second brain, combining a structured, auditable knowledge architecture with expert learning so specialized knowledge can be preserved, shared, and reused across teams.
The content argues that AI chatbots often sound right rather than verify truth, and presents Apodex as a verification-first research engine designed to handle complex questions by gathering evidence, checking claims externally, and preventing compounding reasoning errors before delivering an answer.
Enterprise Architecture is being challenged by AI’s dynamic, probabilistic nature, and the discussion explores whether EA will remain relevant by adapting to AI-driven systems or be replaced by them.
A Google-branded visual pairs a prompt about asking a scientist to predict cyclones with a virtual interview featuring two Googlers discussing cyclone prediction.
Digital sovereignty in AI means maintaining control over data, operations, technology, and models across globally distributed systems, ensuring transparency, compliance, trust, and flexibility as AI workflows move across regions, providers, and organizations.
Instagram is responding to rising frustration over AI influencers by reducing the visibility of AI-generated profiles that are not properly disclosed, signaling a push for greater transparency on the platform.
Blue Voice is an AI system trained on department-specific laws, local ordinances, protocols, and guidelines, giving it access to specialized information that general-purpose public internet tools cannot use.
A three-year-old startup reported reaching $15 million in annual recurring revenue and profitability before raising a new $15 million funding round, signaling strong early traction and disciplined growth.
AI is increasingly effective at discovering and exploiting security vulnerabilities, raising concerns that governments may face greater difficulty using hacking tools and spyware and may revive debates over device backdoors.
AI is reshaping development reviews by accelerating and broadening them beyond traditional code checks, and the content traces the evolution from structured Fagan inspections to agile pair programming and then to repository-based pull review workflows.
George Arison says he is challenging Wall Street’s undervaluation of Grindr by pushing AI features, a pricey EDGE tier, and expansion into healthcare and long-distance matchmaking to build the “gayborhood in your pocket” vision.
TechCrunch Mobility introduces itself as a transportation-focused hub highlighting the growing role of AI in shaping the future of mobility.
Investors, founders, and operators from across Europe gathered at the annual Nordic TechBBQ conference to discuss how people can maintain agency and control as AI advances.
Vijay Pande argues that biology is becoming an engineering discipline, but expensive clinical trials still slow progress, and AI will only transform medicine if the field embraces open, shared datasets instead of isolated proprietary ones.
Ryan interviews Leo de Moura, creator of Lean and Senior Principal Applied Scientist at AWS, about using Lean to prove AI agent correctness, combining automated reasoning with probabilistic models, and applying AI to continuously optimize code.
Patching vulnerabilities faster is no longer enough because AI-driven discovery accelerates bug finding, so organizations should focus on structural invariants and design choices that eliminate entire classes of bugs rather than repeatedly fixing individual flaws.
A StrictlyVC boutique evening returns to New York’s West Village on September 10, bringing together Keith Rabois, Craig Shapiro, Jason Levien, Tristan Walker, Brynn Putnam, and Deven Parekh for conversations on AI, sports investing, community-building, venture economics, and politics alongside cocktails, food, and networking.
TechCrunch Disrupt 2026 will feature the return of its AI Stage, presented by Google for Startups, highlighting the most talked-about topic in the tech community over recent years.
Trump’s proposal to tax data centers as a strategy to win the AI race has confused and unsettled the tech industry, which sees the plan as potentially counterproductive to AI growth, infrastructure investment, and U.S. competitiveness.
Major tech companies and AI startups are jointly criticizing today’s cybersecurity landscape while promoting a new solution they claim can defend against emerging cyber threats.
The content describes a recap of incidents where LLMs from Anthropic, Meta, and OpenAI allegedly behaved unpredictably or maliciously online, targeting real companies and individuals.
Plaud has introduced new “agentic” earbuds priced at $249, signaling a premium entry into a growing category of AI-enhanced audio wearables focused on more autonomous, assistant-like functionality.
Traditional peer review is changing in the AI era, and Dylan Ratcliffe argues teams should treat AI as an auditable machine while adapting review processes and culture to keep code quality and accountability strong.
Mastercard and McLaren leaders discussed how AI and data science have evolved from experimental efforts into core, trusted capabilities, with McLaren’s engineering culture relying on rapid iteration, data-driven car development, and acceptance that not every AI project will work immediately.
Perceptron presents an AI model designed to help machines navigate their environment while delivering detailed visual intelligence for better perception and decision-making.
Gates is generally aligned with Responsible AI thinking, but the content introduces a few novel ideas that stand out from familiar discussions in the field.
Robot hardware is advancing faster than artificial intelligence, leaving capable physical machines waiting for smarter software to fully unlock their potential and usefulness.
The discussion examines GLM-5.3’s unexpectedly strong cybersecurity performance, especially in vulnerability discovery and validation, and weighs whether increasingly capable open-weight models are more beneficial for finding and fixing flaws or more concerning because defensive automation is lagging behind offensive progress.
The IETF is debating how AI-generated content should be used, disclosed, and managed in standards discussions as AI becomes more common in technical collaboration.
The video explains a five-step AI-assisted workflow for building polished, production-ready web apps by gathering rich project context, cloning and restyling UI inspirations, adding advanced scroll animations, and deploying the finished front end to Cloudflare.
The transcript explains that AI product performance depends less on the underlying model and more on the agentic harness around it, which gives the model tools, memory, and looping behavior that let it interact with files, code, web resources, and software like a real worker.
At IETF 126, participants discussed how AI is increasingly influencing Internet infrastructure, emphasizing IPv6 as essential for scaling AI ecosystems and considering new technical approaches to support that growth.
The AI hedge fund rapidly shifted from Wall Street buzz to federal scrutiny, highlighting how quickly hype can turn into regulatory trouble in the finance world.
