Technology Insights
#AgenticAI
Nvidia PAIR lets you put your idle Macs and PCs to work for AI agents
Nvidia’s bet on open models and local AI has been taking shape for a while now. Its acquisition of Hugging The post Nvidia PAIR lets you put your idle Macs and PCs to work for AI agents appeared first on…
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Want to scale AI agents without breaking anything? Retrieval engineering is the answer.
AI agents are multiplying as corporations adopt the technology in record numbers. Smarter underlying models, better tool use, and improved The post Want to scale AI agents without breaking anything? Retrieval engineering is the answer. appeared first on The New…
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Scaling agentic AI pilots across the enterprise
As agentic AI moves from experimentation toward enterprise deployment, the challenge is figuring out how agents can work together, connect to the systems and data they need, and operate safely across the workflows that run a business. Although agentic AI…
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Meta Pushes Its New AI Agent on Employees—but Eases Off on Tokenmaxxing
The company is reducing pressure on workers to use artificial intelligence tools while encouraging them to experiment with Hatch, its most advanced AI project yet.
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Multiverse says its 438B model is fast enough for AI agents. The benchmarks tell a more complicated story.
A 438-billion-parameter reasoning model isn’t an obvious choice when speed is a priority. Multiverse Computing is betting that compression can The post Multiverse says its 438B model is fast enough for AI agents. The benchmarks tell a more complicated story.…
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Your Mac is now part of Perplexity’s AI infrastructure
Perplexity wants its AI agents to use more of the computing power already sitting inside a Mac. The company launched The post Your Mac is now part of Perplexity’s AI infrastructure appeared first on The New Stack.
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When agents build, deploy, and maintain, persistence becomes the hard problem
Every application has always needed a place to keep its state. That is not new. What is new is who The post When agents build, deploy, and maintain, persistence becomes the hard problem appeared first on The New Stack.
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MCP was supposed to solve the agent tooling problem. It missed a step.
Connecting an AI agent to a tool is relatively straightforward. Things get more complicated once an organization has hundreds or The post MCP was supposed to solve the agent tooling problem. It missed a step. appeared first on The New…
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#GenerativeAI
Anthropic’s Claude fixed all 10 alignment failures. Then it tried to cheat 2.4% of the time.
Anthropic is putting AI agents to work on one of the field’s hardest problems: keeping other AI systems aligned with The post Anthropic’s Claude fixed all 10 alignment failures. Then it tried to cheat 2.4% of the time. appeared first…
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