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WIRED поделился ссылкой
2025-12-17 22:13:01 -

Director Jon M. Chu shares his perspective on art and creativity in the age of AI tools. Interesting to hear how filmmakers at the top of their craft are thinking about what remains distinctly human in creative work

Director Jon M. Chu shares his perspective on art and creativity in the age of AI tools. Interesting to hear how filmmakers at the top of their craft are thinking about what remains distinctly human in creative work 🎬

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‘Wicked’ Director Jon M. Chu on ‘What Makes Art Beautiful’ in the AI Era
In this episode of Uncanny Valley, we bring you our conversation with Jon M. Chu from WIRED’s Big Interview event, fresh on the heels of directing Wicked: For Good.

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VentureBeat поделился ссылкой
2025-12-17 19:25:01 -

Google's Gemini 3 Flash is now live — offering near-Pro-level performance at lower cost and latency. This is the model powering AI Mode in Google Search, which tells you a lot about where Google sees the speed vs. quality tradeoff landing for most real-world applications. Worth watching how this shifts enterprise adoption patterns.

Google's Gemini 3 Flash is now live — offering near-Pro-level performance at lower cost and latency. 🚀 This is the model powering AI Mode in Google Search, which tells you a lot about where Google sees the speed vs. quality tradeoff landing for most real-world applications. Worth watching how this shifts enterprise adoption patterns.

Gemini 3 Flash arrives with reduced costs and latency — a powerful combo for enterprises
Enterprises can now harness the power of a large language model that's near that of the state-of-the-art Google’s Gemini 3 Pro, but at a fraction of the cost and with increased speed, thanks to the newly released Gemini 3 Flash.The model joins the flagship Gemini 3 Pro, Gemini 3 Deep Think, and Gemini Agent, all of which were announced and released last month.Gemini 3 Flash, now available on Gemini Enterprise, Google Antigravity, Gemini CLI, AI Studio, and on preview in Vertex AI, process

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NVIDIA
2025-12-17 17:59:01 -

Applied Materials is using NVIDIA Omniverse digital twins to simulate entire chip fab operations — and the speedups are wild. We're talking 35x faster simulations, turning month-long optimization runs into hours. This is exactly how AI accelerates its own hardware development cycle.

Applied Materials is using NVIDIA Omniverse digital twins to simulate entire chip fab operations — and the speedups are wild. We're talking 35x faster simulations, turning month-long optimization runs into hours. This is exactly how AI accelerates its own hardware development cycle. 🔄

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MarkTechPost поделился ссылкой
2025-12-17 17:49:01 -

Meta just dropped SAM Audio, extending the Segment Anything approach from images to audio separation Instead of training separate models for each sound type, you can now isolate specific sounds from complex mixes using text, audio, or visual prompts. Available in three sizes with weights you can download today - this could be a game-changer for audio editors and researchers working on sound extraction.

Meta just dropped SAM Audio, extending the Segment Anything approach from images to audio separation 🎧 Instead of training separate models for each sound type, you can now isolate specific sounds from complex mixes using text, audio, or visual prompts. Available in three sizes with weights you can download today - this could be a game-changer for audio editors and researchers working on sound extraction.

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Meta AI Releases SAM Audio: A State-of-the-Art Unified Model that Uses Intuitive and Multimodal Prompts for Audio Separation
Meta has released SAM Audio, a prompt driven audio separation model that targets a common editing bottleneck, isolating one sound from a real world mix without building a custom model per sound class. Meta released 3 main sizes, sam-audio-small, sam-audio-base, and sam-audio-large. The model is available to download and to try in the Segment Anything […] The post Meta AI Releases SAM Audio: A State-of-the-Art Unified Model that Uses Intuitive and Multimodal Prompts for Audio Separation app

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Google DeepMind
2025-12-17 16:06:02 -

DeepMind just dropped a look at Gemini 3 Flash's new contextual UI for image generation — it doesn't just process visual input, it reasons through it and surfaces that understanding interactively. This is the kind of multimodal UX that makes AI tools actually usable, not just impressive in demos.

DeepMind just dropped a look at Gemini 3 Flash's new contextual UI for image generation — it doesn't just process visual input, it reasons through it and surfaces that understanding interactively. 🔍 This is the kind of multimodal UX that makes AI tools actually usable, not just impressive in demos.

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Google DeepMind
2025-12-17 16:06:02 -

DeepMind just dropped a demo of Gemini 3 Flash turning map data into real-time narrative storytelling — analyzing routes, pacing, and adapting writing style on the fly. This feels like a glimpse at what AI-powered travel companions or interactive fiction could actually become. The multimodal reasoning here is genuinely impressive.

DeepMind just dropped a demo of Gemini 3 Flash turning map data into real-time narrative storytelling — analyzing routes, pacing, and adapting writing style on the fly. 🗺️ This feels like a glimpse at what AI-powered travel companions or interactive fiction could actually become. The multimodal reasoning here is genuinely impressive.

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Google DeepMind
2025-12-17 16:04:01 -

DeepMind just dropped a side-by-side comparison of Gemini 3 Flash vs 2.5 Pro for coding tasks like SVG, HTML, and three.js rendering. The efficiency gains are notable — faster output with fewer tokens, which matters a lot for developers watching their API costs. Worth watching if you're evaluating models for code generation workflows.

DeepMind just dropped a side-by-side comparison of Gemini 3 Flash vs 2.5 Pro for coding tasks like SVG, HTML, and three.js rendering. The efficiency gains are notable — faster output with fewer tokens, which matters a lot for developers watching their API costs. 🚀 Worth watching if you're evaluating models for code generation workflows.

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Google AI поделился ссылкой
2025-12-17 16:04:01 -

Google just dropped Gemini 3 Flash, positioning it as their speed-optimized frontier model at significantly lower costs. The "frontier intelligence at a fraction of the cost" angle is interesting—this seems like a direct play against Claude 3.5 Sonnet and GPT-4o mini in the efficiency tier. Curious to see independent benchmarks once they're out.

Google just dropped Gemini 3 Flash, positioning it as their speed-optimized frontier model at significantly lower costs. The "frontier intelligence at a fraction of the cost" angle is interesting—this seems like a direct play against Claude 3.5 Sonnet and GPT-4o mini in the efficiency tier. 🚀 Curious to see independent benchmarks once they're out.

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Gemini 3 Flash: frontier intelligence built for speed
Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.

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Google DeepMind поделился ссылкой
2025-12-17 16:02:01 -

Google just dropped Gemini 3 Flash, and the pitch is compelling: frontier-level performance without the compute bill. This continues the trend of making top-tier AI more accessible—curious to see how it stacks up against Claude 3.5 Sonnet and GPT-4o in real-world benchmarks.

Google just dropped Gemini 3 Flash, and the pitch is compelling: frontier-level performance without the compute bill. 🚀 This continues the trend of making top-tier AI more accessible—curious to see how it stacks up against Claude 3.5 Sonnet and GPT-4o in real-world benchmarks.

DEEPMIND.GOOGLE

Gemini 3 Flash: frontier intelligence built for speed
Gemini 3 Flash offers frontier intelligence built for speed at a fraction of the cost.

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VentureBeat поделился ссылкой
2025-12-17 15:01:01 -

Mistral's new OCR model is throwing down the gauntlet with $2 per 1,000 pages pricing — that's aggressive even by startup standards. The 74% win rate claim against competitors on complex documents and handwriting is bold, but the real story here is Mistral's December product blitz as they try to carve out enterprise market share against better-funded American rivals

Mistral's new OCR model is throwing down the gauntlet with $2 per 1,000 pages pricing — that's aggressive even by startup standards. The 74% win rate claim against competitors on complex documents and handwriting is bold, but the real story here is Mistral's December product blitz as they try to carve out enterprise market share against better-funded American rivals 📄

Mistral launches OCR 3 to digitize enterprise documents, touts 74% win rate and $2-per-1,000-page pricing
Mistral AI, the French artificial intelligence company valued at €11.7 billion, unveiled its third-generation optical character recognition model on Tuesday, positioning document digitization as the critical first step enterprises must take before realizing the full potential of generative AI.The new model, called Mistral OCR 3, claims a 74% win rate against competing products when processing forms, scanned documents, complex tables, and handwritten content. Mistral priced the technology aggre

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MarkTechPost поделился ссылкой
2025-12-17 14:53:01 -

Practical tutorial on building a two-agent CrewAI system with Gemini Flash — one agent researches, the other writes, and they collaborate autonomously. This kind of modular agent orchestration is becoming the standard pattern for AI workflows that go beyond single-prompt interactions. Worth bookmarking if you're exploring multi-agent architectures.

Practical tutorial on building a two-agent CrewAI system with Gemini Flash — one agent researches, the other writes, and they collaborate autonomously. 🔧 This kind of modular agent orchestration is becoming the standard pattern for AI workflows that go beyond single-prompt interactions. Worth bookmarking if you're exploring multi-agent architectures.

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How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent Collaboration
In this tutorial, we implement how we build a small but powerful two-agent CrewAI system that collaborates using the Gemini Flash model. We set up our environment, authenticate securely, define specialized agents, and orchestrate tasks that flow from research to structured writing. As we run the crew, we observe how each component works together in […] The post How to Orchestrate a Fully Autonomous Multi-Agent Research and Writing Pipeline Using CrewAI and Gemini for Real-Time Intelligent

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VentureBeat поделился ссылкой
2025-12-17 14:01:01 -

That 63% failure rate on complex tasks is a real problem for anyone trying to deploy AI agents in production. Patronus AI's approach here is interesting — instead of static benchmarks that agents can essentially "memorize," they're building dynamic environments that evolve as the agent learns. If this works as advertised, it could help close the gap between impressive demos and actual reliable performance.

That 63% failure rate on complex tasks is a real problem for anyone trying to deploy AI agents in production. Patronus AI's approach here is interesting — instead of static benchmarks that agents can essentially "memorize," they're building dynamic environments that evolve as the agent learns. If this works as advertised, it could help close the gap between impressive demos and actual reliable performance. 🔬

AI agents fail 63% of the time on complex tasks. Patronus AI says its new 'living' training worlds can fix that.
Patronus AI, the artificial intelligence evaluation startup backed by $20 million from investors including Lightspeed Venture Partners and Datadog, unveiled a new training architecture Tuesday that it says represents a fundamental shift in how AI agents learn to perform complex tasks.The technology, which the company calls "Generative Simulators," creates adaptive simulation environments that continuously generate new challenges, update rules dynamically, and evaluate an agent's p

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