Tag: WebDev

The "OpenClaw moment" represents the first time autonomous AI agents have successfully "escaped the lab" and moved into the hands of the general workforce. Originally developed by Austrian engineer Peter Steinberger as a hobby project called "Clawdbot" in November 2025, the framework went through a rapid branding evolution to "Moltbot" before settling on "OpenClaw" in late January 2026. Unlike previous chatbots, OpenClaw is designed with "hands"—the ability to execute shell commands, manage local files, and navigate messaging platforms like WhatsApp and Slack with persistent, root-level permissions.This capability — and the uptake of what was then called Moltbot by many AI power users on X — directly led another entrepreneur, Matt Schlicht, to develop Molt

A developer gets a LinkedIn message from a recruiter. The role looks legitimate. The coding assessment requires installing a package. That package exfiltrates all cloud credentials from the developer’s machine — GitHub personal access tokens, AWS API keys, Azure service principals and more — are exfiltrated, and the adversary is inside the cloud environment within minutes.Your email security never saw it. Your dependency scanner might have flagged the package. Nobody was watching what happened next.The attack chain is quickly becoming known as the identity and access management (IAM) pivot, and it represents a fundamental gap in how enterprises monitor identity-based attacks. CrowdStrike Intelligence research published on January 29 documents how adversary groups operationalized this attack chain at an industrial scale. Threat actors are cloaking the delivery o

Researchers from Stanford, Nvidia, and Together AI have developed a new technique that can discover new solutions to very complex problems. For example, they managed to optimize a critical GPU kernel to run 2x faster than the previous state-of-the-art written by human experts.Their technique, called “Test-Time Training to Discover” (TTT-Discover), challenges the current paradigm of letting models “think longer” for reasoning problems. TTT-Discover allows the model to continue training during the inference process and update its weights for the problem at hand.The limits of 'frozen' reasoningCurrent enterprise AI strategies often rely on "frozen" models. Whether you use a closed or open reasoning model, the model's parameters are static. When you prompt these models, they search for answers within the fixed manifold of their training data. This works well for problems that re

OpenAI on Wednesday released GPT-5.3-Codex, which the company calls its most capable coding agent to date, in an announcement timed to land at the exact same moment Anthropic unveiled its own flagship model upgrade, Claude Opus 4.6. The synchronized launches mark the opening salvo in what industry observers are calling the AI coding wars — a high-stakes battle to capture the enterprise software development market.The dueling announcements came amid an already heated week between the two AI giants, who are also set to air competing Super Bowl advertisements on Sunday, and whose executives have been trading barbs publicly over business models, access, and corporate ethics."I love building with this model; it feels

Anthropic on Thursday released Claude Opus 4.6, a major upgrade to its flagship artificial intelligence model that the company says plans more carefully, sustains longer autonomous workflows, and outperforms competitors including OpenAI's GPT-5.2 on key enterprise benchmarks — a release that arrives at a tumultuous moment for the AI industry and global software markets.The launch comes just three days after OpenAI released its own Codex desktop application in a direct challenge to Anthropic's Claude Code momentum, and amid a $285 billion rout in software and services stocks that investors attribute partly t

The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital canvas, the structured, relational data that underpins the global economy — the rows and columns of ERP systems, CRMs, and financial ledgers — has so far been treated as just another file format similar to text or PDFs.That's left enterprises to forecast business outcomes using the typical bespoke, labor-intensive data science process of manual feature engineering and classic machine learning algorithms that predate modern deep learning.But now Fundamental, a San Francisco-based AI firm co-founded by DeepMind alumni, is launching today with $255 million in total funding to bridge this gap. Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) d

OpenAI launched Frontier, a platform for building and governing enterprise AI agents, as companies increasingly question whether to commit to single-vendor systems or maintain multi-model flexibility.The platform offers integrated tools for agent execution, evaluation, and governance in one place. But Frontier also reflects OpenAI's push into enterprise AI at a moment when organizations are actively moving toward multi-vendor architectures — creating tension between OpenAI's centralized approach and what enterprises say they want.Tatyana Mamut, CEO of the agent observability company Wayfound, told VentureBeat that enterprises don’t want to be locked into a single vendor or platform because AI strategies are ever-evolving. “They’re not ready to fully commit. Everybody I talk to knows that eventually they’ll move to a one-size-fits-all solution, but right now, things are moving too fast for us to commit,” Mamut said. “This is the reason wh