Agentic AI Adoption Statistics 2026
Why it matters: Agentic AI adoption statistics 2026: 62% deploy agents, 40% scale them, and Gartner sees over 40% of projects canceled. See what to trust.
AI 2025 trends
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Pydantic AI vs LlamaIndex Workflows for Production Agents
Why it matters: Pydantic AI or LlamaIndex Workflows? Compare durability, human approval, evals and real customer results before you commit your production agents.
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On-device AI Agents With Google ADK for Kotlin
Why it matters: Build on-device AI agents with Google ADK for Kotlin: compare LiteRT-LM, Gemini Nano, and Firebase, run the latency math, and ship safely.
Context Engineering for LLM Agents
Why it matters: Agents fail when their context fills with noise. Get the write, select, compress, isolate playbook, real token data, and a free planner to cut cost and errors.
Reasoning Models Explained: How They Think Before Answering
Why it matters: Reasoning models explained: how they think before answering, what thinking costs, and where they fail. Learn when to use one.
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Giorgia Meloni seeks to trademark her voice to counter AI deepfakes
Italian prime minister first major politician to seek protection against misuse of her voice
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High Interest Rates Aren’t Slowing the A.I. Boom. That’s a Problem for the Fed.
Rising borrowing costs are taking a toll on households and businesses. But they are doing little to dampen enthusiasm for investments in A.I. infrastructure, which are contributing to inflation.
High Interest Rates Aren’t Slowing the A.I. Boom. That’s a Problem for the Fed. Read More »
Our approach to EU text provenance rules
How OpenAI is approaching text watermarking under EU rules. Learn where watermarks apply, how detection works, and why access starts with researchers.
The dangerous myth behind AI agent hacks
These are not simply cyber security flaws but problems with the way that models are trained
This Early Groq Investor Expects Half Her Bets To Fail
Sandhya Venkatachalam spent the first half of her career building technology companies. She led product at an early data center hardware company that was sold to Cisco, then became a product executive at Skype before its sale to Microsoft. Those roles brought her into data and machine learning years before AI became venture capital’s dominant
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