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I tested the DJI Osmo Pocket 4P for a month — and it makes single-lens video cameras feel as ancient as the original iPhone

DJI’s first dual-lens Pocket is a triumph, and a supremely versatile and high-quality 4K camera considering its compact dimensions. It faces stiff competition from the Insta360 Luna Ultra, but if you're already familiar with the Pocket series then you're probably better off sticking with it, while there are certainly enough reasons to upgrade from a single-lens model — that 3x telephoto camera can capture wonderfully dynamic footage and popping portraits. The top-heavy design is an unfortunate but inevitable design compromise, while the persistence with 4K likely to frustrate resolution junkies when 8K cameras are also available; but for me the Pocket 4P is the compact vlogging camera to beat.

Pros

+Dual cameras for two distinct looks
+Majorly attractive 4K footage, with natural color and tonal depth
+Clever accessories improve user experience
+Great subject-tracking performance

Cons

-Top-heavy design
-Gets warm when handling processor-intensive tasks
-...

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Businesses must reinvent their processes and workforce to scale agentic AI adoption

Follow ZDNET: Add us as a preferred source on Google. ZDNET's key takeaways * Only 15% of organizations have reached scaled multi-agentic orchestration. * Most business leaders are reevaluating their business models in light of advances in agentic AI. * Scaling agentic AI must begin with sufficient resources to transform the

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'Same compute, fewer resources - More compute, same energy': AMD says it is on track to make AI four times…

* AMD says its rack-scale AI systems are now about four times more energy-efficient than its 2024 baseline, beating its own threefold interim target by 33% * The company offers two alternative outcomes for that gain: the same compute in far fewer racks, or twenty times more compute for the same power,

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Mercury Research: AMD's share of x86 client CPU shipments tops 30% for the first time, hitting 30.3% in Q2, up from 21.1% two years earlier, vs. Intel's 69.7%

Sponsor Posts Subquadratic: the LLM built for 12M-token reasoning — SubQ can reason across entire codebases and document sets in one pass with no RAG workarounds. Read how SubQ 1.1 Small holds near-perfect retrieval out to 12M tokens. Most carriers track everything. Cape doesn't. — Unlimited talk, text &

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CISO's guide to RAG data security risks and protection strategies | TechTarget

Large language models can only generate responses from the data they were trained on. Yet this data might be outdated, might not include proprietary data, can cause hallucinations and could require costly updates. That's where retrieval-augmented generation comes in. RAG overcomes these data limitations by retrieving relevant information