AI’s reasoning race heats up

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Welcome, AI enthusiasts.

Just months after OpenAI’s o1 made waves, a Chinese lab just upped the ante with a model that matches the AI leader — while also transparently showing its work.

Is that this (soon-to-be) open-source powerhouse about to shift the competitive landscape and send a warning shot to closed U.S. labs? Let’s get into it…

In today’s AI rundown:

  • DeepSeek unveils powerful reasoning AI

  • ChatGPT’s visual AI inches closer to launch

  • Make any video longer with AI

  • DeepMind AI fixes quantum computing errors

  • 5 recent AI tools & 5 recent AI jobs

  • More AI & tech news

Read time: 4 minutes

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LATEST DEVELOPMENTS

DEEPSEEK

🤖 DeepSeek unveils powerful reasoning AI

Image source: DeepSeek

The Rundown: Chinese AI research firm DeepSeek just launched R1-Lite-Preview, a strong recent reasoning-focused model that matches OpenAI’s o1 capabilities while showing its live transparent chain-of-thought processes.

The small print:

  • Unlike o1’s condensed summaries, R1-Lite-Preview shows users its complete chain-of-thought process in real-time.

  • Initial benchmarks rival OpenAI’s o1-preview on benchmarks like AIME and MATH with improved performance because the length of thought increases.

  • Users can access the model through DeepSeek Chat, with premium reasoning features limited to 50 each day messages, while basic chat stays unlimited.

  • DeepSeek plans to open-source the entire R1 model in the longer term

  • The corporate’s infrastructure includes an estimated 50,000 H100 chips, putting their computing power on par with leading Western AI labs.

Why it matters: Two months after OpenAI’s o1 sparked a brand new era in AI reasoning, DeepSeek’s achievement shows how quickly the sphere evolves. While lesser known within the West, open-sourcing this powerful Chinese model could speed up innovation across your entire AI industry, sending a warning shot to closed U.S. AI labs.

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OPENAI

👁️ ChatGPT’s visual AI inches closer to launch

Image source: OpenAI

The Rundown: Newly discovered code in ChatGPT’s latest beta suggests OpenAI could also be preparing to roll out its long-awaited live camera features, potentially integrating visual capabilities into the assistant’s Advanced Voice Mode.

The small print:

  • The beta code revealed a “Live Camera” feature that enables ChatGPT to investigate and discuss users’ surroundings in real-time.

  • First demoed in May, the tech showed impressive capabilities, corresponding to recognizing objects and interesting in natural conversations about visual input.

  • The feature previously appeared in limited alpha testing, with some users reporting temporary access during Advanced Voice Mode trials.

  • OpenAI’s potential release comes ahead of Google’s similar Project Astra, which was showcased at Google I/O, continuing the AI giants’ competitive release pattern.

Why it matters: 2025 is shaping as much as be the yr of AI agents and full multimodal capabilities, with models capable of see, engage, and take motion in additional natural and intuitive ways. Voice AI has already began to realize traction, but pairing it with ‘eyes’ can be a totally transformative recent experience.

AI TRAINING

🎬 Make any video longer with AI

The Rundown: Transform short video clips into longer content using AI to generate seamless extensions of your footage.

Step-by-step:

  1. Take a screenshot of your video’s last frame as a reference image.

  2. Upload the screenshot to the Kling AI video generator within the “Image to Video” section.

  3. Write a descriptive prompt for the way you wish the video to proceed.

  4. Join your original video with the AI-generated extension using a video editor like CapCut.

Pro tip: For probably the most natural results, make sure that your reference screenshot is high-quality, and your prompt clearly describes the intended motion or motion.

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GOOGLE DEEPMIND

🧠 DeepMind AI fixes quantum computing errors

Image source: Google

The Rundown: Google DeepMind just introduced AlphaQubit, an AI system that dramatically improves the flexibility to detect and proper errors in quantum computers — an important step toward making the tech practical for real-world use.

The small print:

  • AlphaQubit sets recent records for error detection, cutting rates by 6% in comparison with previous top methods and 30% compared to straightforward approaches.

  • A two-step training process allows the system to learn from simulated data before adapting to handle the complex errors in real quantum hardware.

  • Though trained on sequences of just 25 operations, the system maintains accuracy for over 100k — showing promising ability for quantum computations.

  • Google plans to open-source AlphaQuibit, allowing the broader research community to construct upon the advances.

Why it matters: AlphaQubit tackles certainly one of the sphere’s biggest roadblocks – keeping the sensitive machines stable enough to resolve real problems. While more steps are needed, DeepMind’s research brings us a step closer to letting quantum computers loose in areas like drug discovery, climate modeling, supply chains, and more.

NEW TOOLS & JOBS

Trending AI Tools

  • 📱Postiz – AI social media scheduling tool for posting, analyzing performance, and managing accounts multi functional place.

  • 🗣️ Adobe Podcast Enhance Speech v2 – AI tool to enhance audio quality, eliminate background noise and enhance voice clarity

  • 🧠 Dokko – Conversational AI platform for knowledge sharing

  • 📖 ReadPartner – Personal AI assistant for automated news digest and quick summaries of internet sites, videos, and documents

  • 📊 PaperGenFully-referenced, charted, long-form papers with one click

Latest AI Job Opportunities

  • 📝 The Rundown – Author/Editor

  • 📈 Twelve Labs – Account Executive

  • 🏢 Mistral AI – Office Manager, Palo Alto

  • 📊 Metropolis – Director, Go-To-Market Systems

  • 💻 Figure AI – Software Engineer, Configuration

QUICK HITS

OpenAI released an updated version of GPT-4o featuring improved creative writing capabilities and higher file evaluation, with the model being revealed as ‘anonymous-chatbot’ and reclaiming the highest spot on the Chatbot Arena leaderboard.

Author introduced a brand new self-evolving model architecture, enabling real-time learning and the flexibility for LLMs to operate more efficiently without additional training.

Anthropic published research proposing a statistical framework for AI model evaluations to more accurately measure and compare language model capabilities beyond easy benchmark scores.

Meta rolled out recent features to Messenger, including AI-generated video call backgrounds, HD calling capabilities, and intelligent noise suppression features.

Niantic unveiled plans for an AI model trained on hundreds of thousands of player-submitted smartphone scans from its Pokemon Go and Ingress games, aiming to create a system that understands and navigates physical space.

OpenAI and Common Sense Media launched a free ChatGPT course aimed toward helping K-12 teachers understand and adopt AI within the classroom.

THAT’S A WRAP

That is it for today!

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See you soon,

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

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