| As a reminder, 🔳 Turing Post is now on 🤗 Hugging Face! You can read this article there | |
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| Now, to the main topic → | Today we are at CES in Las Vegas, arguably the largest tech event in the world. With (reported) 150,000 industry attendees and thousands of media representatives, we thought this would be the perfect place to see what lies beyond the ML community – what the market is breathing with. | And yes, AI is, if not the air, then certainly its nitrogen. | To be clear, there is still a lot of AI thrown at everything as a spice. Some time it’s a bad taste. But there are many more cases now where AI has become a first-class citizen. AI is embedded as a primary, integrated feature of many real-world applications, not just experimental or supplementary. | Today, we offer you a glimpse into the real world and the trends shaping it. | Apologies, for being late with our Monday’s digest: we were waiting for Jensen Huang’s keynote, to bring you NVIDIA news right away. | Jensen Huang’s presentation was impressive. About 13,000 people gathered in one place, all catching his every word. Jensen Huang is so humble and grounded that you turn into his fan immediately. Or maybe it’s the new jacket – all shiny, aligning with the Las Vegas spirit ;) But what he delivered in his keynote was truly incredible. There were also A LOT of real-life use cases. It was like watching the future unfolding right in front of you. Yes, sure, a lot of it is still a work in progress, but Jensen explained everything in so many technical details that it’s clear: he knows exactly how he and NVIDIA are going to achieve everything he talks about. | There were a lot of announcements. Allow us to concentrate on a few that struck the most. | New gaming GPU – RTX Blackwell → | introduces neural compression and neural material shaders for improved efficiency and image quality, leveraging AI to learn textures and optimize rendering. RTX Blackwell costs $1,599. Some other numbers → | | What is even crazier: new RTX 5070 is only $549 – this GPU matches RTX 4090 performance but is optimized for energy efficiency, making it ideal for laptops and mid-range systems with advanced features like neural texture compression. | Scaling Laws | Instead of plateau, Jensen Huang talked about three scaling laws critical to advancing AI systems → | | Every branch requires an incredible amount of compute. Understandably, NVIDIA is very excited about that. | Physical AI and Cosmos: The World Foundation Model | Cosmos Platform was introduced to enable building realistic, physics-based environments to train robots and AI systems. | Applications: Autonomous vehicles, industrial simulations, and robotics development. | Electric Vehicles (EV) | NVIDIA’s contributions include three key systems: | Training Systems: For AI model development. Simulation Systems: For testing and synthetic data generation. In-Car Computers (e.g., Thor): Supercomputers integrated into vehicles for real-time decision-making.
| It also leverages almost endless amount of synthetic data, enabled by Omniverse and Cosmos, for edge-case scenario training. And if there is a reason for multiverse (in NVIDIA’s version, it’s omniverse), synthetic data and endless training is this reason. This is where “risk free” really means a lot. | Project Digits: The Supercomputer size of Apple TV | | This gold box behind Jensen Huang is a supercomputer, aprox 1,000 times more powerful than average laptop. And you can stack them. Meaning, running N-billion parameters models at home would not be a problem. This NVIDIA’s deep learning training system integrates GPUs, CPUs, and advanced networking for scalable AI research and deployment. | It’s truly incredible. The only problem, according to Jensen Huang, is the name. He doesn’t like Digits (an acronym for Deep Learning GPU Training System). What do you think will be a good name? We suggest WUNDERBOX. | We highly recommend dedicating a little over an hour to watch the whole keynote and gain a clearer vision of the current real-life implementation and the future. |  | NVIDIA CEO Jensen Huang Keynote at CES 2025 |
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| But what defines the real world? (getting back to other CES’s events) | Consumers. According to CES Futurist Brian Comiskey, Gen Z (born between 1997 and 2012) is rapidly becoming one of the most influential consumer groups, with significant buying power and a strong impact on market trends. Their digital-native identity drives a growing demand for personalized AI that integrates seamlessly into their tech-centric lifestyles, influencing the trajectory of future innovation. | But personalization is just one dimension of AI's transformative role. Gen Z's passion for sustainability is fueling shifts toward zero-carbon energy and eco-friendly materials. AI advancements are at the heart of this transition, empowering autonomous vehicles and smart mobility systems to optimize energy use. Meanwhile, in health tech, innovations like GLP-1 treatments and remote care systems leverage AI to enhance precision, personalization, and accessibility. Even smart homes are becoming health and efficiency hubs through AI integration. Taken together, CES’s futurist paints AI creating sustainable, connected, and inclusive communities for the future. Exactly how Gen Z would like it. | The exhibit floor of CES 2025 reflects this diverse array of technological advancements, showcasing the growing influence of AI across various aspects of daily life. Here are some notable trends shaping the event: |
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| Trends at CES 2025 | Artificial Intelligence (AI) Integration
AI continues to enhance consumer electronics, driving innovation in everyday devices. Examples include AI-powered smart TVs with features like "Click to Search" and expanded smart home connectivity, as well as personal health devices offering real-time monitoring and tailored recommendations. Robotics and Companion Devices
This year sees a surge in robotics designed for companionship and assistance. Honestly, it’s too much. As a parent who buys presents for kids, I know that the interest for such “companions” live for about three days. A few companies to highlight though: Enchanted Tools' Mirokai robot, focused on elder care, and Neudive that creates therapeutic companion for neurodiverse individuals, blending clinical expertise, user insights, and innovative technology to empower families and transform treatment for conditions like autism, ADHD, and social communication disorders. Wearable Health Technology
Wearable tech takes center stage with innovations like smart rings and glasses that monitor health metrics such as blood pressure, oxygen levels, heart rate, and sleep patterns. These devices empower users to manage their health proactively while alleviating pressure on healthcare systems through early intervention.
| We met tech evangelist Robert Scoble at the event, and he is passionate about AI-driven glasses. We recommend watching the whole interview (only about 9 minutes) since he shares some trends he's noticed after attending CES for 25 years. |  | TuringPost #CES2025 @TheTuringPost |  |
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We met with legendary @Scobleizer to ask what excites him at @CES.
He is most excited about AI-driven glasses leveraging advanced waveguide tech to create immersive experiences. He discusses how these lightweight devices could evolve into holodeck-like systems, showcasing… x.com/i/web/status/1… | |  | | | 10:31 PM • Jan 6, 2025 | | | | | | 3 Likes 2 Retweets | 1 Reply |
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| Smart Home Innovations
The smart home sector is booming, with new products leveraging the Matter standard for seamless connectivity. Innovations include smart locks, advanced home energy management systems, and AI-integrated solutions designed to create more efficient and connected living environments. There are also AI-driven toothbrushes, and that sounds really scary. Automotive Technology
Advancements in vehicle tech are making waves, with autonomous agricultural machinery like John Deere’s systems addressing farming labor shortages. Electric vehicles (EVs) and in-car AI assistants also take center stage, underscoring the deep integration of AI into transportation. Chinese players like Zeekr are taking the main stage.
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| Since there weren’t many research papers to feature this time, we’ve decided to shift focus and share a selection of standout startups that caught our attention. | Notable Startups at CES | Neuroscience and AI: Smart Brain (France) | At first glance, Smart Brain’s booth appeared modest – just a piece of paper on the table saying that they will understand everything about you after just five questions. | Curiosity led me to try it, and the results were eerily accurate, hitting my pain points with unnerving precision. Jean-Marie Lenoir, president of Smart Brain, introduced Easy Brain, an AI tool that uses neuroscience to enhance discovery interviews. It rapidly identifies psychological profiles and suggests adaptive communication strategies, transforming traditional interviews into hyper-personalized interactions. Tailored for HR, finance, and sales, the tool’s blend of neuroscience, AI, and generative AI promises a new era of smart HR consultants and enterprise coaches. Experiencing it firsthand, it’s striking how seamlessly AI and neuroscience can decode individual behaviors. | Biology and AI: NETRI (France) | NETRI stands at the intersection of biology and AI, leveraging its proprietary NeuroFluidics™ platform. Thibault Honegger, NETRI’s CEO and co-founder, explained that by integrating human neural stem cells and organs-on-chip technology, NETRI mimics neural innervation and records digital neural data. AI algorithms then decode these signals for drug efficacy, toxicity prediction, and diagnostics. From neurodegenerative diseases to dermatology, NETRI’s customizable solutions accelerate drug discovery and predictive biology, setting a new benchmark for biotech innovation. | Embodied Intelligence: Mimic Robotics (Switzerland) | Among the many "robotic" toys at CES Mimic Robotics felt like a serious step forward in embodied intelligence. They focus on scalable AI models for universal robotic manipulation. Rooted in ETH Zurich research, Mimic’s technology enables robots to generalize to new tasks using diverse human video data with minimal fine-tuning. Elvis Nava, their CTO and co-founder, told me that their universal robotic hand doesn’t require a lot of data, can learn from any video and improves with every try. | Multi-Agent AI Coding Teams: Koder.ai (USA) | Koder.ai – disclaimer, I couldn’t try it out but I loved the idea – is set to redefine the software development lifecycle with its multi-agent AI system. Created for non-technical people, they promise end-to-end automation, from ideation to deployment, leveraging multimodal inputs (text, images, audio) and proprietary prompt engineering. The system integrates code generation, UI design, database creation, API management, testing, and cloud deployment – all in one workflow. They offer both their proproetary LLM, and access to most common models like Gemini. They are premiering their product at CES. | AI Augmentation: Glasses and Earbuds | We mentioned the glasses but another cool thing is: earbuds. AI-enabled earbuds, such as Timekettle’s (China) simultaneous translation devices, were a standout for their practical applications – especially for those with multilingual families. | Naqi Logix (Canada), however, is pushing the envelope with its Neural Earbud. This AI-enhanced device enables hands-free, screen-free control of computers, wheelchairs, and even industrial robots using head motion and facial muscle signals. With applications ranging from accessibility tech to AR gaming, Naqi Logix’s innovation redefines human-machine interaction. They promise to challenge Neuralink, but – again – unfortunately, we were not able to try it out. | Synthetic Data: GenGenAI | GenGenAI (Korea), impressed with its synthetic image and video generation capabilities. Already employed by Korea’s Ministry of Defense, their technology highlights the growing strategic role of synthetic data in critical applications. |
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 | Turing Post on Hugging Face: "10 Free Comprehensive Datasets for Supervised Fine-Tuning " | huggingface.co/posts/Kseniase/676807985484672 |
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| We are reading – DeepSeek is on our mind | DeepSeek is making waves across the developer community, causing annoyance for some industry giants. |  | Logan Kilpatrick @OfficialLoganK | |
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Everyone: America America America, we must win AI, national security, etc etc *Decent models come out from China* Everyone: We now support XYZ model on our platform (from China), come use it right now, it’s so great! So cheap, so fast, such good rate limits! | | | 9:57 PM • Jan 4, 2025 | | | | | | 2.17K Likes 101 Retweets | 205 Replies |
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| | News from The Usual Suspects © | Hugging Face Goes Smol but Mighty
During the holidays, Hugging Face introduces smolagents, a lightweight library empowering LLMs with agentic capabilities to handle real-world tasks flexibly. From multi-step workflows to sandboxed environments, it's simplicity with power. With open model integration and first-class code agent support, smolagents might just be the future of adaptive AI systems. Sam Altman Reflects: From ChatGPT to AGI Dreams
On the second anniversary of ChatGPT, Sam Altman offers a candid reflection on OpenAI's journey. From a tipping-point launch to turbulent governance moments – including his surprise firing – Altman credits resilience, strong allies, and a unified vision for OpenAI’s evolution. He now uses both terms AGI and superintelligence, hoping to build it and redefine human progress. Replit Rings in 2025 with Upgrades and Integrations Replit kickstarts the new year with exciting updates, including xAI integration for effortless AI feature embedding, a revamped Replit Teams login for seamless collaboration, and optimized Neon database performance. Developers can now search menu items, enjoy React as the default frontend, and tackle custom domain errors with ease. It's a resolution to make coding smoother, faster, and smarter in 2025. LG's 'Affectionate Intelligence' Vision During CES 2025, LG presented its vision of "Affectionate Intelligence," aiming to integrate AI technologies more humanely and personally into users' lives. This approach seeks harmonious interaction between devices, services, and AI agents to enhance user experiences across home, mobility, and commercial environments. We wonder how many more A*** Intelligences we are going to experience in the future.
| That’s all for today. Thank you for reading! Please send this newsletter to your colleagues if it can help them enhance their understanding of AI and stay ahead of the curve |
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