Hi Synapticians!

First up, European AI company Mistral continues its impressive progress with the release of a new medium-sized model (24B parameters) that's performing extremely well! Even better news? It comes with an Apache 2.0 license, making it available to anyone with the right setup. But here's the best part – smaller model means cheaper hardware needs! We're talking about the possibility of running this model on regular consumer computers.

In other hot news, Adobe has just announced "Project Slide Wow" (yes, that's really the name! 😄). As many of you know, we're big Gamma fans around here, and now it looks like we finally have a serious competitor! We'll be testing it out and sharing what we find with you in the coming days.

Happy reading!

Top AI news

1. Mistral AI’s Small 3.1: A new open-source AI benchmark
Mistral AI introduces Small 3.1, a 24-billion-parameter open-source model with a 128,000-token context window. It outperforms Google’s Gemma 3-it (27B) and OpenAI’s GPT-4o Mini in reasoning, multilingual tasks, and multimodal understanding. Unlike many high-performance models, it runs efficiently on a single RTX 4090 GPU or a Mac with 32GB RAM, allowing businesses to maintain data control. Available in both pre-trained and instructed versions, it is licensed under Apache 2.0, reinforcing the accessibility of open-source AI.

2. Adobe’s AI tool automates PowerPoint presentations from raw data
Adobe introduced Project Slide Wow, an AI-powered tool that automates PowerPoint creation from raw data. Integrated with Adobe Customer Journey Analytics, it generates slides with relevant visualizations and speaker notes. Its interactive AI agent allows real-time updates and dynamic data refresh. Unlike traditional AI models, it uses a proprietary algorithm to prioritize key insights, ensuring accuracy and control. This tool could save businesses time, enhance collaboration, and standardize presentations. If adopted, it may revolutionize how companies use data for decision-making. Adobe is currently assessing market interest before making it an official product.

3. AI’s impact on food industry
AI is reshaping the food industry by improving crop monitoring, optimizing ingredient research, and enhancing food safety. Predictive analytics accelerate R&D, reducing costs and time. However, adoption is hindered by fragmented supply chains, limited data-sharing, and a lack of expertise. AI-driven insights can break operational silos, enabling better decision-making. Collaboration between corporations, startups, and research institutions is crucial to unlocking AI’s full potential. The future of food depends on strategic AI integration to create a more efficient and sustainable industry.

Bonus. The uncertain future of AI
Nicholas Carlini examines the uncertain trajectory of AI, presenting two possible futures: a revolutionary leap in capabilities or a gradual, predictable improvement. He argues that dismissing either scenario would be a mistake. While he suspects a fundamental limitation exists, he cannot pinpoint what it might be. His insights on model training, particularly with DeepSeek v3, highlight how reinforcement of correct answers drives progress. The article underscores the importance of preparing for both radical transformation and steady evolution in AI development.

Tweet of the Day

One of our favorite product, NotebookLM is finally getting updated 🤩 

Theme of the Week

AI & Robotics. The AI venger
Rodney Brooks, born on December 30, 1954, in Adelaide, Australia, is a renowned roboticist and entrepreneur. He is best known for revolutionizing the way robots perceive and interact with the world. Brooks studied pure mathematics at Flinders University before earning a Ph.D. in computer science from Stanford University in 1981.

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