Tag: WebDev

For decades, software companies designed their products for a single type of customer: a human being staring at a screen. Every button, menu, and dashboard existed to translate a person’s intention into a machine’s action. But a small startup based in San Francisco and Zurich believes that era is ending — and that the future belongs to companies that build software not for people, but for the artificial intelligence agents that increasingly act on their behalf.Manufact, a three-person company that emerged from Y Combinator’s Summer 2025 batch, announced in February that it raised $6.3 million in seed funding led by Peak XV, the venture capital firm formerly known as Sequoia Capital India and Southeast Asia, which now manages more than $10 billion in assets. Liquid 2 Ventures, Ritual Capital,

The past ten days have been among the most consequential in OpenAI's history, with developments stacking up across product, politics, personnel, and the courts. Here is what happened — and what it means.OpenAI on Tuesday launched a set of interactive visual tools inside ChatGPT that let users manipulate mathematical and scientific formulas in real time — a genuinely impressive education feature that landed in the middle of the most turbulent stretch of the company's corporate life.The new experience covers more than 70 core math and science concepts, from the Pythagorean theorem to Ohm's law to compound interest. When a user asks ChatGPT to explain one of these topics, the chatbot now generates a dynamic module with adjustable sliders alongside its written response. Drag a variable, and the equatio

OpenAI launched Codex Security on March 6, entering the application security market that Anthropic had disrupted 14 days earlier with Claude Code Security. Both scanners use LLM reasoning instead of pattern matching. Both proved that traditional static application security testing (SAST) tools are structurally blind to entire vulnerability classes. The enterprise security stack is caught in the middle.Anthropic and OpenAI independently released reasoning-based vulnerability scanners, and both found bug classes that pattern-matching SAST was never designed to detect. The competitive pressure between two labs with a combined private-market valuation exceeding $1.1 trillion means detection quality will improve faster than any single vendor can deliver alone. Neither Claude Code Security

Lest you thought Microsoft would have all the fun introducing new AI features for white collar enterprise work this week with its Copilot Cowork announcement yesterday, Google is here to take back the spotlight. The search giant and, increasingly, AI leader today announced a sweeping series of updates to its Gemini AI models embedded into Google Workspace — the productivity suite of cloud-based apps including Drive, Docs, Sheets, Slides, and more. They're being made available both to individual consumers and enterprises, though you'll need an AI Pro ($20 per month) or higher subscription plan for the former, and your enterprise wi

Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to enterprise customers — a move that transforms the three-year-old startup from a consumer search disruptor into a direct competitor to Microsoft, Salesforce, and the legacy enterprise software stack that underpins corporate America.The enterprise launch arrives barely two weeks after Computer debuted for consumers, where it triggered what the company describes as a viral moment: users on social media demonstrated the

It’s always the same story: A new technology appears and everyone starts talking about how it’ll change everything. Then capital rushes in, companies form overnight, and valuations climb faster than anyone can justify. Then, many many months later, the warnings arrive, and people suddenly remember the dot-com crash or crypto.You’ve probably seen it before. And if you have, you probably think AI is the next bubble. Humans are great at pattern-matching. We’ve evolved to see patterns, so when something familiar emerges, we instinctively map it onto the closest story we already know. We think we’ve seen it before, and we’re confident we know how it ends.But that instinct can mislead us. AI feels like a bubble because we’re forcing something genuinely discontinuous into a familiar story. The idea that everything that rises quickly must ultimately collapse sounds prudent. But it doesn’t mean it’ll always be true.Why markets keep overshooti

Presented by 1PasswordAdding agentic capabilities to enterprise environments is fundamentally reshaping the threat model by introducing a new class of actor into identity systems. The problem: AI agents are taking action within sensitive enterprise systems, logging in, fetching data, calling LLM tools, and executing workflows often without the visibility or control that traditional identity and access systems were designed to enforce. AI tools and autonomous agents are proliferating across enterprises faster than security teams can instrument or govern them. At the same time, most identity systems still assume static users, long-lived service accounts, and coarse role assignments. They were not designed to represent delegated human authority, short-lived execution contexts, or agents operating in tight decision loops. As a result, IT leaders need to step back and rethink the trust layer itself. This shift isn’t theoretical. NIST’s