I sat down on the couch in my sweatpants, and just basically melted into [it] the whole weekend, probably almost 48 hours straight. About three weeks ago, an X post praising NanoClaw from famed AI researcher Andrej Karpathy went viral. About a week ago, Cohen closed down his AI marketing startup to focus full-time on NanoClaw and launch a company around it called NanoCo.
Grok is the master conductor/navigator with deep understanding of the world to direct digital Optimus, which is processing and actioning the past 5 secs of real-time computer screen video and keyboard/mouse actions. Grok is like a much more advanced and sophisticated version of turn-by-turn navigation software.
Personal Computer will run 24/7 on a dedicated device on your local network, have full access to your files and apps, and be controllable from anywhere and on any device, Perplexity said. That deeper access makes it a more personalized version of a similar product Perplexity launched last month, Perplexity Computer, a cluster of agents it described as a "general-purpose digital worker."
Amazon has "provided strong evidence" that Perplexity's Comet browser accesses user accounts "without authorization" from the retail giant. Amazon sued Perplexity in November, alleging that it "repeatedly requested" that the AI startup stop letting its agents buy products for customers, accusing Perplexity of "intruding" into its marketplace and user accounts with Comet's agentic shopping feature, in violation of computer fraud and abuse laws.
We really believe right now is an inflection point. The inflection point for us is Copilot taking on these agentic capabilities and going from assistance to real doing. Spataro said that Copilot Cowork uses Anthropic's Claude model as the AI powering its reasoning and uses the same agentic harness—the system that allows the AI model to use other software tools and the guardrails around how it functions.
We are going to move from a smartphone-centric, app-centric digital ecosystem to an agent center. The agent becomes the center. They don't only respond to you. They observe, they interpret, they act. In place of the current approach, where the user initiates everything via a specific application, future technology will be more geared toward enabling agents and tasks.
OpenAI is introducing what it is calling, naturally, "stateful AI." The company has announced that it will soon offer a stateful runtime environment in partnership with Amazon, built to simplify the process of getting AI agents into production. It will run natively on Amazon Bedrock, be tailored for agentic workflows, and optimized for AWS infrastructure.
Depending on the list of functionalities that you have, or the areas where you have to explore things and analyze, it will automatically create [AI] agents, micro [AI] agents, fulfill the need, and then, when it comes to actual borrower engagement, provide everything to the front-end agent.
Running AI infrastructure costs are astronomical. Back in 2023, it was estimated that OpenAI spends around $700,000 per day to run ChatGPT—about 36 cents per query. However, in 2024 with the release of its higher-performing o3 model, some queries cost over $1,000 of computing power. Consequently, OpenAI CEO Sam Altman reports the company is even losing money on its $200 ChatGPT Pro subscriptions.
In our own environment, over 90% of targeted Level 1 volume is handled autonomously, with resolution rates above 99% for those categories and materially faster than human-only workflows. It accomplishes this by having the Autonomous Workforce operate on top of the live configuration management database (CMDB), active workflows, policy engines, approval chains, and real transaction history - all updated in real time every time a ticket closes, a workflow executes, or a policy changes.
Multiagent orchestration logic behind Computer is that, rather than becoming general-purpose tools, AI models have instead branched off into different specialties: Anthropic's Claude, for example, is famously popular among software engineers. Relying on a single model to complete a complex task is therefore a bit like trying to assemble an Ikea dining table using a butter knife; it could be possible, but the finished product is going to be a little wonky.
Atlassian has been in the business, for decades, of collaboration software helping people get work done. Now, you enter agents, and agents are now doing a lot of that work, and so you want to be able to coordinate between humans and agents.
With this expansion, Opal is shifting from a low-code orchestration tool to a platform in which an AI agent independently determines which actions, tools, and models are needed to achieve a goal. The new agent runs on the Gemini 3 Flash model and automatically selects the tools needed to complete a task.
Powered by the Gemini 3 Flash model, the new agent in Opal enables autonomous workflows that plan, reason, and execute on the user's behalf. Now, instead of manually picking a model, developers can select an agent in the generate step. The agent then triggers the right tools and models, such as Web Search for research or Veo for video, needed to accomplish the user's intended mission.
The new battleground in banking is intelligent operations and scalable execution. In 2026, banking is about moving money smarter, faster, and with fewer humans in the middle. Across corporate finance and global retail operations, banks are experimenting with technology and operational design in ways that challenge long-held assumptions about scale, speed, and control. Three recent developments exemplify what's happening in money movement: Goldman Sachs deploying AI agents, Truist automating corporate receivables, and Nubank expanding abroad with a lean digital model.
