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For much of the past two years, the general belief in enterprise AI has been that more autonomy equals better performance. Build agents that can plan, decide, and act across multi-step workflows, and give them as much room to run as possible. That assumption is now being tested at scale, in real production environments — and in a lot of deployments it s failing. The companies that end up benefiting from agentic AI won t necessarily be the ones that have given their agents the most flexibility. They re the ones who create AI agents with specific responsibilities and make sure they operate within clear rules.Two numbers tell you almost everything about where agentic AI stands in mid-2026. By Gartner s own forecast, more than 40% of the agentic AI projects running today won t survive to see 2028. Not because the models fall short; because of escalating costs, unclear business value, and inadequate risk controls. McKinsey s 2026 AI Trust Maturity Survey fits right alongside that prediction
On the latest episode of Equity, we wonder why the DOJ is investigating startup board seats.
From software engineering and digital solutions to automation, AI, and our next-generation creator platform, the journey behind ADROVIS.Continue reading on Medium »
Anthropic announced on August 14 that Claude now embeds a hidden watermark in its text outputs invisible to readers, undetectable by Continue reading on Medium »
Built by DeepMind alumni, British AI lab Inherent released Faraday, an AI agent whose ability to replicate scientific papers could be a stepping stone for innovation.
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If you use ChatGPT for anything more complex than a quick question, you have probably seen this happen.Continue reading on Medium »
So pretty. | Screenshot: Terrence O’Brien / The Verge I remember having a Spirograph as a kid and being obsessed with it. Its geometric patterns are hypnotic and gorgeous. I also love generative music composition. So bringing those two things together in a browser tab, I'm hooked. Musical Spirograph is a relatively simple concept. A set of points dash around the screen according to mathematical equations, generating hypotrochoids and epitrochoids. Those points pass through a series of concentric rings which trigger specific notes. Honestly, that alone is fun enough, but you can customize it quite a bit. There are six different virtual rotors to pick from, you can have up to three arms drawing … Read the full story at The Verge.
Turning a demo agent into something that can keep real booking data The post Building a Proper Backend for My LangGraph AI Agent appeared first on Towards Data Science.
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