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OpenAI Codex is an AI coding agent that writes, fixes, and analyzes code using natural language. Run multiple agents, automate coding tasks, and review changes easily [License: Freemium | Requires:
11|10|8|macOs | Size: 1 MB ]
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LG has announced the pricing and availability of its Micro RGB evo, the company's first take on a TV display trend that kicked off in earnest at CES 2026. The LG Micro RGB evo is available to pre-order today starting at $5,000, and follows the recent release of the ultra-thin LG Wallpaper.
The Micro RGB evo represents the top of the line of a new class of display at LG that directly builds on the company's work with Mini LED technology. The new TV features LG's Micro RGB panel and its Alpha A11 AI processor, which runs the TV's webOS software, and perhaps more importantly, powers the "Micro RGB Engine" that controls the TVs individual LEDs. LG says the Micro RGB evo offers full gamut coverage across DCI-P3, BT.2020 and Adobe RGB, along with "enhanced contrast and refined detail" from the TV's over a thousand dimming zones.
While Micro RGB should offer better color representation than OLED, LG's OLED TVs still have their share of benefits, especially in things like contrast and dimming. Micro RGB panels are similar to the company's Mini LED ones, but rather than using all blue or white LEDs, the Micro RGB evo has individually controlled red, green and blue LEDs. The new style of display is also being explored by companies like
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NEW RESOURCES The Drive: This New Tool Will Hunt Down the Cheapest Gas Prices In Your Area. "The Gas Index allows you to add your vehicles and location to an account, so […]
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With prompt engineers among the workers most in demand in the wake of generative AI's arrival in the enterprise, it was inevitable that someone would investigate whether their role, too, could be automated, or at least facilitated, by AI.
And, indeed, a recent study focused on how to write the best prompts for a large-language model (LLM) AI to solve mathematical problems has found that another AI gets better results than a human. The study sought to determine whether human-generated "positive thinking" prompts—such as "this will be fun!" or "take a deep breath and think"—produce better responses. The results were mixed when using different LLMs.
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