Explore OpenAI's resource, "A Practical Guide to Building Agents," available for download via the link below. This detailed guide provides essential strategies and tips for creating intelligent agents, making it an essential read for AI enthusiasts. Access the full document here: https://cdn.openai.com/business-guides-and-resources/a-practical-guide-to-building-agents.pdf Additionally, check out other resources from OpenAI and Anthropic on AI Agents: - https://openai.com/business/guides-and-resources - https://www.anthropic.com/engineering/building-effective-agents #AI #ArtificialIntelligence #OpenAI #TechInnovation #AgentDevelopment #MachineLearning #DataScience #AIResearch #SmartAgents #TechGuide

Try out Sesame here => Amazing albeit lagging at points cutting off but still very well done ! Flirty voice too .. be careful out there ! https://www.sesame.com/research/crossing_the_uncanny_valley_of_voice#demo

A new generation of consistent and controllable media is here. With Gen-4, you are now able to precisely generate consistent characters, locations and objects across scenes. Simply set your look and feel and the model will maintain coherent world environments while preserving the distinctive style, mood and cinematographic elements of each frame. Then, regenerate those elements from multiple perspectives and positions within your scenes. https://runwayml.com/research/introducing-runway-gen-4

We introduce a groundbreaking multi-agent system for web automation that suggests that agent cardinality (the number of agents working in concert) could represent a new scaling dimension in AI, opening exciting directions for future research and applications. Our approach is directly inspired by the coordination and specialization strategies used by effective human teams. By translating human organizational principles into novel computational techniques, our system achieves state-of-the-art performance on the Mind2Web benchmark, significantly outperforming leading systems such as OpenAI’s Operator and Anthropic’s Computer Use. https://getinvisible.com/articles/human-inspired-agent-design-in-web-automation

Wishful thinking much ...??? Cannot find evidence of this anywhere online ...even using deep research ? https://x.com/janwilmake/status/1903405851286618501

The Gemma family of open models is foundational to our commitment to making useful AI technology accessible. Last month, we celebrated Gemma's first birthday, a milestone marked by incredible adoption — over 100 million downloads — and a vibrant community that has created more than 60,000 Gemma variants. This Gemmaverse continues to inspire us. Today, we're introducing Gemma 3, a collection of lightweight, state-of-the-art open models built from the same research and technology that powers our Gemini 2.0 models. These are our most advanced, portable and responsibly developed open models yet. They are designed to run fast, directly on devices — from phones and laptops to workstations — helping developers create AI applications, wherever people need them. Gemma 3 comes in a range of sizes (1B, 4B, 12B and 27B), allowing you to choose the best model for your specific hardware and performance needs. https://blog.google/technology/developers/gemma-3/

Here’s a recap of some of our biggest AI updates from February, including making Gemini 2.0 available for everyone, helping people explore new careers with AI, adding Deep Research to the Gemini mobile app and more. https://blog.google/technology/ai/google-ai-updates-february-2025/

Today, we’re launching NextGenAI, a first-of-its-kind consortium with 15 leading research institutions dedicated to using AI to accelerate research breakthroughs and transform education. AI has the power to drive progress in research and education—but only when people have the right tools to harness it. That’s why OpenAI is committing $50M in research grants, compute funding, and API access to support students, educators, and researchers advancing the frontiers of knowledge. Uniting institutions across the U.S. and abroad, NextGenAI aims to catalyze progress at a rate faster than any one institution would alone. This initiative is built not only to fuel the next generation of discoveries, but also to prepare the next generation to shape AI’s future. https://openai.com/index/introducing-nextgenai #NextGenAI #AIResearch #ArtificialIntelligence #EducationInnovation #ResearchBreakthroughs #FutureOfAI #AIForGood #TechForEducation #GlobalCollaboration #OpenAI #AIGrants #Innovation #AIInEducation #ResearchFunding #AIProgress

About OmniHuman Welcome to OmniHuman, an end-to-end AI framework developed by researchers at ByteDance. OmniHuman can generate incredibly realistic human videos from just a single image and a motion signal—like audio or video. Whether it’s a portrait, half-body shot, or full-body image, OmniHuman handles it all with lifelike movements, natural gestures, and stunning attention to detail. What is OmniHuman? At its core, OmniHuman is a multimodality-conditioned human video generation model. This means it combines different types of inputs, such as images and audio clips, to create realistic videos. Let’s dive into how it achieves this step by step. Key Features OmniHuman is more than just a tool—it's a platform for innovation. Here's what sets us apart: Realistic Video Generation: Our advanced AI algorithms transform a single image and motion signals into lifelike videos in minutes. Multimodal Input Handling: Whether it's audio or video, OmniHuman seamlessly integrates various input types for enhanced realism. User-Friendly Interface: Designed for both beginners and experts, our intuitive interface makes video generation easy and accessible. High-Quality Outputs: From subtle expressions to dynamic movements, OmniHuman delivers professional-grade results suitable for various applications. https://omnihuman-1.com/about https://omnihuman-1.com/example https://omnihuman-1.com/about

The four models, including T2V-14B, T2V-1.3B, I2V-14B-720P, and I2V-14B-480P, are designed to generate high-quality images and videos from text and image inputs. They are available for download on Alibaba Cloud’s AI model community, Model Scope, and the collaborative AI platform Hugging Face, accessible to academics, researchers, and commercial institutions worldwide. - https://www.cnbc.com/2025/02/26/alibaba-makes-ai-video-generation-model-free-to-use-globally.html - https://www.alibabacloud.com/blog/alibaba-cloud-open-sources-its-ai-models-for-video-generation_602025 - https://www.reuters.com/technology/artificial-intelligence/alibaba-release-open-source-version-video-generating-ai-model-2025-02-25/

We’re releasing a research preview of GPT‑4.5—our largest and best model for chat yet. GPT‑4.5 is a step forward in scaling up pre-training and post-training. By scaling unsupervised learning, GPT‑4.5 improves its ability to recognize patterns, draw connections, and generate creative insights without reasoning.

Official Statement: Today we’re excited to announce `gpt-4.5-preview`, our largest model yet, as a research preview. It has deeper world knowledge, with a better understanding of user intent. GPT-4.5 is designed for more natural conversation. It excels at tasks requiring creativity, empathy, and broad general knowledge, including writing help, coaching, brainstorming, and nuanced communication. We’ve also seen it perform well at agentic planning and execution. Get started with GPT-4.5 in the API GPT-4.5 supports function calling, Structured Outputs, vision, streaming, system messages, evals, and prompt caching. It’s available via our Chat Completions, Assistants, and Batch APIs today. GPT-4.5 is very large and compute-intensive, so it’s not a replacement for GPT-4o. A typical query costs on average $68 / 1M tokens, with cache discounts ($75 / 1M input tokens, $37.5 /1M cached input, $150 / 1M output). Batch jobs are discounted 50% and cached input is discounted 50%. We’re evaluating whether to continue serving it in the API long-term as we balance supporting current capabilities with building future models. If GPT-4.5 plays a unique role for your use-case, let us know. Follow the links below to read more ... https://platform.openai.com/docs/models#gpt-4-5 https://openai.com/index/introducing-gpt-4-5/