OpenAI’s mini Dev Day upgrades

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Welcome, AI enthusiasts.

OpenAI has loads of presents for consumers this holiday season, but the newest release is all concerning the builders.

With the o1 reasoning model now available via API and a toolbox of powerful recent features, AI applications are about to level up in an enormous way. Let’s get into it…


In today’s AI rundown:

  • OpenAI releases o1 for API, recent developer tools

  • Nvidia’s low-cost, palm-sized AI supercomputer

  • Run CLI commands out of your prompts

  • Latest DeepMind benchmark tests LLM factuality

  • 5 recent AI tools & 5 recent AI jobs

  • More AI & tech news

Read time: 4 minutes

LATEST DEVELOPMENTS

OPENAI

⚙️ OpenAI releases o1 for API, recent developer tools

Image source: OpenAI on YouTube

The Rundown: OpenAI just rolled out a series of updates for developers on Day 9 of its live stream event, including API access to its advanced o1 reasoning model, major upgrades to the Realtime API, and a brand new preference fine-tuning method.

The main points:

  • o1 comes out of preview with recent API capabilities like function calling, structured outputs, vision, and reasoning effort to manage pondering time.

  • o1 API costs are available in at $15 per ~750k words analyzed and $60 per ~750k words generated — roughly 3-4x greater than GPT-4o.

  • Realtime API costs drop 60% for GPT-4o audio, with a brand new 4o mini available at 1/10 the worth and WebRTC integration for easier voice app development.

  • Latest Preference Nice-Tuning enables customizing models using comparative examples vs fixed training data, improving tasks like writing and summarization.

  • The corporate also launched beta SDKs for Go and Java programming languages, expanding development options.

Why it matters: These releases mark an enormous day for AI builders. Access to the o1 reasoning model and recent features opens up a brand new world of constructing and integrations. Developers just got a robust recent set of tools to create more customizable, capable, and complex applications.

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NVIDIA

🎁 Nvidia’s low-cost, palm-sized AI supercomputer

Image source: Nvidia

The Rundown: Nvidia just introduced the Jetson Orin Nano Super Developer Kit, a $249 compact generative AI supercomputer that delivers significant performance gains at half the previous model’s price.

The main points:

  • The palm-sized device delivers 1.7x the performance, 70% more processing power, and a 50% boost in memory in comparison with the previous model.

  • The Nano can handle multiple AI tasks concurrently, from powering chatbots to controlling robots and processing visual data from multiple cameras.

  • The platform supports popular AI frameworks and tools through NVIDIA’s software ecosystem, including Isaac for robotics and Metropolis for vision AI.

  • Existing Jetson Orin Nano owners can access the identical 1.7x generative AI performance gains through a free software update.

Why it matters: Just because the Raspberry Pi revolutionized DIY computing projects, NVIDIA’s reasonably priced AI supercomputer could birth a brand new generation of developers constructing every little thing from smart robots to creative AI tools of their garages and dorm rooms. The barriers to advanced AI tools have never been lower.

PRESENTED BY PROJECT IDX

 Run CLI commands out of your prompts

The Rundown: Project IDX is your AI-enabled development environment within the cloud with code assistance from Gemini.

Step-by-step:

  1. Log into Project IDX along with your Google account.

  2. Create a project from the templates dashboard.

  3. Click the Gemini icon at the underside of the workspace or press Cmd+Shift+Space (Ctrl+Shift+Space on ChromeOS, Windows, or Linux).

  4. Select “Interactive Chat with Gemini” and pass it a prompt to update your project configuration files and code.

Pro tip: Project IDX offers a streamlined development experience by allowing you to execute terminal commands directly from the user interface.

AI RESEARCH

🧐 Latest DeepMind benchmark tests LLM factuality

Image source: Google DeepMind

The Rundown: Google DeepMind just launched FACTS Grounding, a brand new benchmark designed to judge how well LLMs can generate factually accurate and comprehensive responses based on provided documents while avoiding hallucinations.

The main points:

  • FACTS uses 1,719 examples, each with a document, a system instruction, and a user request, to check the power to supply grounded long-form answers.

  • Three AI models (Gemini 1.5 Pro, GPT-4o, and Claude 3.5 Sonnet) function judges, evaluating responses for accuracy and handling user requests.

  • Scores are aggregated across all judges and examples, with results published on a public Kaggle leaderboard that shall be updated as recent models emerge.

  • Google’s Gemini models currently top the leaderboard, with Gemini 2.0 Flash Experimental achieving the best rating, 83.6%, for factual grounding.

Why it matters: Hallucinations proceed to plague even probably the most advanced LLMs, limiting reliability and real-world use cases. FACTS Grounding provides a more nuanced strategy to measure progress in an especially vital developmental area for AI by specializing in grounded responses and using a multi-LLM judging approach.

NEW TOOLS & JOBS

Trending AI Tools

  • 📸 Google Imagen 3 – Google’s highest-quality text-to-image model, able to generating images with even higher detail, lighting, and fewer artifacts

  • 🎨 Google Whisk – Generate images through the use of other images as prompts for a subject, scene, and elegance to create personalized visuals

  • ☎️ NewOaks AI Phone Agent – AI phone agent that may listen, understand, and speak in real-time to automate inbound and outbound calls

  • 🧠 Findr– Unlock infinite digital memory along with your AI second brain

  • 📫 MagicMail – AI email generator that turns text prompts into fully styled and ready-to-send HTML emails

Latest AI Job Opportunities

  • 🎨 Captions – Graphics Software Engineer

  • 🗄️ Pinecone – Staff Database Engineer

  • ⚖️ xAI – Employment Counsel

  • 📊 Character AI – Data Scientist, Post Training

  • 🧪 Together AI – Summer 2025 Research Intern

QUICK HITS

Free event on Jan 7: Join Section for a discussion on how AI is redefining how we work, hire, and advance within the workplace. RSVP without cost.*

Midjourney released Moodboards, a brand new feature that permits users to create personalized AI generation styles and profiles by uploading or adding images.

Google launched Gemini Code Assist tools, enabling developers to access external services and data directly inside their IDE.

YouTube is partnering with talent agency giant CAA to develop AI detection tools to assist celebrities and athletes discover and manage AI-generated content featuring their likenesses across the platform.

UAE’s Technology Innovation Institute released Falcon 3, a brand new open-source family of language models designed to run on lightweight hardware, with the 7B and 10B versions outperforming competitors like Llama and Qwen in key benchmarks.

OpenAI’s Romain Huet revealed during a community AMA that there are currently no plans to release an API for the corporate’s Sora video generation model.

Databricks secured a brand new $10B funding round at a $62B valuation, with the information analytics company planning AI product expansion and potential acquisitions.

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THAT’S A WRAP

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See you soon,

Rowan, Joey, Zach, and Alvaro—aka The Rundown Team

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