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- Google launched Gemini 2.5 Flash 🚀
Google launched Gemini 2.5 Flash 🚀
🦾Plus: 👀 OpenAI launches Flex API for cheaper, slower AI tasks
Veer CH
April 18, 2025
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In today's edition: 🔥
🔬 Meta’s FAIR shares new AI perception research
🧬 Profluent finds scaling laws for protein‑design AI
👀 OpenAI launches Flex processing for cheaper, slower AI tasks
🌟 TSMC’s AI empire expands
💡 AI Tutorial:How to run a small AI model locally on your phone
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Meta’s FAIR research arm just published five new open-source AI research projects focused on perception and reasoning, showcasing advances in computer vision, 3D understanding, and collaborative AI capabilities. Perception Encoder shows SOTA performance in visual understanding, excelling at tasks like ID’ing camouflaged animals or tracking movements.
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Google just launched Gemini 2.5 Flash — a hybrid reasoning AI in preview that matches o4-mini, outperforms Claude 3.5 Sonnet on reasoning/STEM benchmarks, and introduces a new ‘thinking budget’ to optimize cost vs. quality. 2.5 Flash shows significant reasoning boosts over its predecessor (2.0 Flash), with a controllable thinking process to toggle the feature on or off.
Profluent announced ProGen3, a new family of AI models that can design complex proteins from scratch — with the results marking the first evidence of AI scaling laws in biology, proving larger models and more data create stronger results.
OpenAI's Flex processing is a new API option that provides lower AI model usage prices in exchange for slower response times and occasional resource unavailability. It is available in beta for the company's recently released o3 and o4-mini reasoning models. Aimed at lower-priority and non-production tasks, the feature reduces API costs by exactly half.
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Taiwan Semiconductor Manufacturing Company (TSMC) reported a 60% year-over-year profit surge in Q1 2025, fueled by soaring demand for AI chips. Despite escalating U.S.-Taiwan trade tensions and Trump-era tariffs, the world’s largest contract chipmaker is holding firm on its annual revenue forecast and continuing to expand its U.S. manufacturing footprint.
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AI Tutorial
How to run a small AI model locally on your phone
Running this model locally will allow you to access it without an internet connection and improve privacy.
Download the PocketPal app through the App Store or the Play Store.
Download the model.
You can download Qwen 2.5 0.5B from Hugging Face. Pick the q4_0 (lighter) or q8_0 (fuller).
You can also download other models if you'd like.
Launch PocketPal, go to the "Models" section, and tap on "+ Local Model."
Choose the model you downloaded and start chatting.
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🧠AI Research
[arXiv is a free online library where researchers share pre-publication papers]
📄 ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
📄 Cobra: Efficient Line Art COlorization with BRoAder References
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⚡️Quick AI News Roundup
🚫 Trump administration reportedly considers a US DeepSeek ban.
🎓 Google One AI Premium is free for college students until Spring 2026.
🤔 Google’s latest AI model report lacks key safety details, experts say.
🤖Perplexity in talks with Motorola, Samsung to integrate its AI search platform
🌟AI smart glasses demoed at TED2025 using Android XR
🤖Prompt Engineering
🎯 Market analysis
Evaluate the impact of technological advancements on <business> and how they might affect <persona>'s preferences and behaviours. Consider how <USP> can leverage these advancements to address <challenges>.If you found this prompt useful,
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