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- Meet DeepSeek-V3
Meet DeepSeek-V3
Is This the Model That’ll Dethrone ChatGPT?
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DeepSeek’s new AI model, DeepSeek-V3, is shaking up the open-source AI game. With 671B parameters, it rivals big names like LLaMA 3.1 but costs way less—just $5.57M to train in two months. It’s a math and Chinese language pro, beating most benchmarks, though it oddly identifies as ChatGPT sometimes (blame the training data). The takeaway? Open-source AI is catching up fast, and China’s models aren’t slowing down despite U.S. chip restrictions.
OpenAI is shifting gears, planning to become a Public Benefit Corporation (PBC) to secure massive funding for future AI advancements. This move will merge its for-profit arm with its nonprofit roots, giving the nonprofit a significant financial boost. With $6.6B already raised and a $157B valuation, the restructure promises resources for big goals in health care, education, and science. But not everyone’s thrilled—Elon Musk even sued to stop it. As OpenAI walks the tightrope between mission-driven ideals and profit-making realities, all eyes are on what’s next.
OpenAI just unveiled o3 and o3-mini, their next-gen AI models focused on smarter reasoning and coding. These models take their time to "think" before answering, making them better at solving complex problems like tough coding tasks and math puzzles. Early tests show o3 outperforms its predecessors with more accuracy and adaptability. While still in safety testing, this move heats up the AI race with Google’s Gemini 2.0. For developers, this could be a game-changer!
Apple’s AI-powered news summaries are in hot water after a major blunder. A notification falsely claimed that an accused murderer shot himself, sparking a wave of misinformation online. The BBC, whose name was attached to the error, has officially complained, demanding Apple fix its AI issues. This isn’t Apple’s first AI slip-up—last month, another notification falsely reported that Israeli PM Netanyahu had been arrested. With media outlets emphasizing credibility, Apple’s AI accuracy is now under serious scrutiny.
AI just entered the whiskey game! Scientists trained a machine learning algorithm to analyze the molecular makeup of 16 whiskies and match their flavor notes with those picked by human Whiskey Masters. The result? AI nailed the top five flavors in each whiskey, from smoky to caramel, just like the pros. While it’s great at ID’ing aromas, it still can’t tell you if that glass is your perfect sip. Cheers to science, though!
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Prompt: “Write the body copy for a promotional email campaign about GAP spring sale. Write in an upbeat and friendly tone.”
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That’s it. See you on the next open. And do me a favor and move this email to your “Primary” inbox - trust me, it’ll be worth it.
- Charlie “Your AI Assistant” Patel