Tag: WebDev

Former Twitter co-founder Jack Dorsey's new company Block — the parent of merchants payment system Square, mobile peer-to-peer payments Cash App, music streamer Tidal, and open source AI orchestration system Goose — is sending shockwaves across the business world tonight after announcing a more than 40% headcount, cutting its workforce by more than 4,000 people out of a prior total of 10,000, despite its latest quarterly earnings statement released today showing $2.87 billion in gross profit up 24% year-over-year. The culprit? Newfound AI efficiencies. As Dorsey put it in a note shared on his own former social network, X: "we&

When your average daily token usage is 8 billion a day, you have a massive scale problem. This was the case at AT&T, and chief data officer Andy Markus and his team recognized that it simply wasn’t feasible (or economical) to push everything through large reasoning models. So, when building out an internal Ask AT&T personal assistant, they reconstructed the orchestration layer. The result: A multi-agent stack built on LangChain where large language model “super agents” direct smaller, underlying “worker” agents performing more concise, purpose-driven work. This flexible orchestration layer has dramatically improved latency, speed and response times, Markus told VentureBeat. Most notably, his team has seen up to 90% cost savings. Further, they're able to process more tokens than ever before: A massive 27 billion a day, representing more than a threefold increase in just months. “I believe the future of agentic AI is many, many, many sm

For the last six months, enterprises wanting to deploy high quality AI image generation at scale have faced an uncomfortable trade-off: pay premium prices for Google's Nano Banana Pro model, or settle for cheaper (sometimes free), faster, but noticeably inferior alternatives — especially in terms of enterprise requirements like embedded accurate text, slides, diagrams, and other non aesthetic information. Today, Google DeepMind is attempting to collapse that gap with the launch of Nano Banana 2 (formally Gemini 3.1 Flash Image) — a model that brings the reasoning, text rendering, and creative control of the Pro tier down to Flash-level speed and pricing. The release comes just sixteen days after Alibaba's Qwen team dropped Qwen-Image-2.0, a 7-billion parameter open-weight challenger that

Attackers jailbroke Anthropic’s Claude and ran it against multiple Mexican government agencies for approximately a month. They stole 150 GB of data from Mexico’s federal tax authority, the national electoral institute, four state governments, Mexico City’s civil registry, and Monterrey’s water utility, Bloomberg reported. The haul included documents related to 195 million taxpayer records, voter records, government employee credentials, and civil registry files. The attackers' weapon of choice wasn’t malware or sophisticated tradecraft created in stealth. It was a chatbot available to anyone.The attackers created a series of prompts telling Claude to act as an elite penetration tester running a bug bounty. Claude initially pushed back and refused. When they added rules about deleting logs and command history, Claude pushed back harder.

ServiceNow is handling 90% of its own employee IT requests autonomously, resolving cases 99% faster than human agents. On Thursday it announced the product technology it wants to use to do the same for everyone else.Organizations have spent three years running pilots that stall when AI gets to the execution layer. The agent can identify the problem and recommend a fix, then hand it back to a human because it lacks the permissions to finish the job or because no one trusts it to act autonomously inside a governed environment. The gap most teams are hitting isn't capability. It's governance and workflow continuity. ServiceNow's answer is a new framework called Autonomous Workforce; a new employee-facing product called EmployeeWorks built on its December acquisition of Moveworks; and an underlying architectural approach it calls "role automation."From ticketing system to AI workforceServiceNow has been building toward this for tw

Perplexity, the AI-powered search company valued at $20 billion, on Wednesday launched what it calls the most ambitious product in its three-year history: a multi-model agent orchestration platform called Computer that coordinates 19 different AI models to complete complex, long-running workflows entirely in the background.The product, currently available only to Perplexity Max subscribers at $200 per month, is the company's clearest articulation yet of a thesis it has been refining for more than a year: that AI models are not converging into general-purpose commodities but are instead specializing — and that the company best positioned to win the next era of AI is the one that can orchestrate all of them together."What has Perplexity been up to last two months?

Alibaba's now famed Qwen AI development team has done it again: a little more than a day ago, they released the Qwen3.5 Medium Model series consisting of four new large language models (LLMs) with support for agentic tool calling, three of which are available for commercial usage by enterprises and indie developers under the standard open source Apache 2.0 license:Qwen3.5-35B-A3B Qwen3.5-122B-A10B Qwen3.5-27BDevelopers can download them now on Hugging Face and ModelScope. A fourth model, Qwen3.5-Flash, appears to be proprietary and only available through the Alibaba Cloud Model Studio A