Artificial general intelligence has the potential to benefit nearly every aspect of our lives—so it must be developed and deployed responsibly.

How the voices for ChatGPT were chosen We worked with industry-leading casting and directing professionals to narrow down over 400 submissions before selecting the 5 voices.

The Google AI Blast. Gemini Pro 1.5. Gemini 1.5 Flash. PaliGemma. Project Astra. Delegation to AI Agents. NVIDIA ChatQA 1.5. Parler-TTS Mini:Expresso. DeepMind CAT3D. Meta AI Chameleon. KANs Explained

Improvements to data analysis in ChatGPT Interact with tables and charts and add files directly from Google Drive and Microsoft OneDrive.

OpenAI and Reddit Partnership We’re bringing Reddit’s unique content to ChatGPT and our products.

Canva is a visual communication platform, enjoyed by more than 175 million people monthly to make presentations, videos, documents, websites, social media graphics and more. A majority of the world’s knowledge workers lack design training, but Canva’s combination of an easy-to-use interface, vast libraries, and time-saving tools allows anyone to create visually compelling content.

Collaborating with Carlyle to Chart the Future of Private Equity

We’re announcing GPT-4 Omni, our new flagship model which can reason across audio, vision, and text in real time.

Introducing GPT-4o and making more capabilities available for free in ChatGPT.

Introducing GPT-4o and more tools to ChatGPT free users We are launching our newest flagship model and making more capabilities available for free in ChatGPT.

Over the past months, I have given several talks about Monte Carlo conformal prediction and the problem of calibrating with uncertain ground truth, for example, stemming from annotator disagreement. Each time, the audience had great questions and ideas for extensions and interesting applications. In this article, I want to provide a sort of FAQ for our work. The post FAQ for our Monte Carlo Conformal Prediction appeared first on David Stutz.

Diffusion, FM & Pre-Trained AI Models for Time-Series. TinyTimeMixers. MambaFormer. TimesFM. Frankenstein Prompts. BabyAGI. KANs Explained. GPT Researcher. xLSTM. Visualisation-of-Thought.

Today we’re introducing new technology to help researchers identify content created by our tools and joining the Coalition for Content Provenance and Authenticity Steering Committee to promote industry standards.

Just over a year after launching ChatGPT, AI is changing how we live, work and learn. It’s also raised important conversations about data in the age of AI. More on our approach, a new Media Manager for creators and content owners, and where we’re headed.

A PhD can be a difficult endeavour. While becoming an expert in tackling a specific problems, it is easy to lose track of things: Have I read this paper before? What was the paper saying? Why did we decide to change course? Why am I running these experiments? Who did I talk to at the last conference? Throughout my PhD, I learned that documenting these things made me significantly more effective with minimal overhead. In this article, I want to share some learnings around what and how to keep track of PhD work. The post Documenting your PhD — Keeping Track of Meetings, Experiments and Decisions appeared first on David Stutz.

API Partnership with Stack Overflow Stack Overflow and OpenAI today announced a new API partnership that will empower developers with the collective strengths of the world’s leading knowledge platform for highly technical content with the world’s most popular LLM models for AI development.

Six Nerdy AI Activities for the Long W/E. StoryDiffusion. AI Agents Stack. AI Town Game. Latest on In-Context Learning. KANs Alt to MLP. Amazon Q Assitant. Agentic RAG with llama3. WildChat Dataset.

What spending $2,000 can tell us about evaluating AI agents