French AI company Mistral claims its latest AI model offers a more efficient way to train and operate robots.
The model, Robostral Navigate, can guide a robot through plain language instructions, using a single RGB camera to find its way. Mistral said that this was a radical departure from most other models, which rely on depth sensors, LiDAR or several cameras working together.
Robostral Navigate has achieved a score of 76.6% on the R2R-CE (Room-to-Room in Continuous Environments) benchmark for robots following instructions. This beats the best system using depth sensors or multiple cameras by 4.5 percentage-points, despite the Robostral Navigate using neither of these aids, and puts it 9.7 percentage-points ahead of the next-best single-camera robot.
Mistral said it had designed the model to autonomously navigate complex environments including offices, residential and commercial buildings, and outdoor settings. A key feature of the new model is that it is easier to train: Mistral sai
French AI company Mistral claims its latest AI model offers a more efficient way to train and operate robots.
The model, Robostral Navigate, can guide a robot through plain language instructions, using a single RGB camera to find its way. Mistral said that this was a radical departure from most other models, which rely on depth sensors, LiDAR or several cameras working together.
Robostral Navigate has achieved a score of 76.6% on the R2R-CE (Room-to-Room in Continuous Environments) benchmark for robots following instructions. This beats the best system using depth sensors or multiple cameras by 4.5 percentage-points, despite the Robostral Navigate using neither of these aids, and puts it 9.7 percentage-points ahead of the next-best single-camera robot.
Mistral said it had designed the model to autonomously navigate complex environments including offices, residential and commercial buildings, and outdoor settings. A key feature of the new model is that it is easier to train: Mistral sai
The post Reserve Protocol Drops Five AI-Themed Tokenized Equity DTFs on BNB Chain, Powered by Ondo appeared on BitcoinEthereumNews.com.
Reserve Protocol has launched five AI-themed Reserve Protocol DTFs (Decentralized Token Funds) on BNB Chain. The aim is to give global investors a single-token route into the full AI supply chain. The products, $BUILDOUT, $POWER, $PHOTON, $NEOCLOUD, and $ROBOTS, are live now and backed by tokenized U.S. equities via Ondo Global Markets. The announcement was made on Reserve Protocol’s official X account on July 9, 2026, alongside a video explainer and trading links. Five DTFs, One AI Economy: What Reserve Protocol Just Built Each of the five new Reserve Protocol DTFs targets a different layer of the AI value chain. $BUILDOUT covers AI hardware and infrastructure stocks.$BUILDOUT covers AI hardware and infrastructure stocks. $POWER focuses on energy and power generation companies feeding AI data centers. $PHOTON tracks photonics and optical networking co
Schwarzman Centre, Oxford
Headlong’s take on Karel Čapek’s 1920 tale of romance and robots is rife with timely debates about tech’s threat but at times the philosophical discussions drag on
If our world is currently thinking through the brave new future of generative AI and super intelligence, Karel Čapek’s 1920 play RUR: Rossum’s Universal Robots proves the notion of robot consciousness and rebellion is not a new anxiety. So does Mary Shelley’s Frankenstein, which Čapek’s drama resembles in its philosophical debates and moral warnings, despite its futurism.
Ella Road adapts Čapek’s play for our times in this Headlong and Schwarzman Centre co-production, its science apparently informed by research from Oxford University academics, which gives it a cutting-edge, real-world underpinning.
Continue reading...
The post Why VCs Are Chasing Robots: Inside Paradigm’s $1.2B AI Fund appeared on BitcoinEthereumNews.com.
Paradigm just put a big, loud number on a thesis a lot of crypto folks have quietly believed for a while: AI, robots, and onchain rails are going to meet in the middle. And when they do, new markets appear. We’re not talking a side fund or a cute experiment. It’s a fourth flagship vehicle sized at $1.2 billion, with checks already going into real hardware companies. That’s a signal, not a whim. If you’re building in crypto, or trying to figure out where the next cycle’s oxygen sits, it’s time to look at agent infrastructure and robotics with fresh eyes. The dots connect more cleanly than they used to.
Point
Details
Paradigm’s new vehicle
$1.2B fourth fund targeting crypto, AI, robotics and other frontier tech, announced July 8, 2026 (Paradigm).
Early real-world bets
Investments include Zipline (autonomous delivery; reported $7.6B valuation Jan 2026) and
MIT researchers developed FloatForm, a swarm of small aquatic robots that snap together like ants forming a raft, assembling into reconfigurable structures on the water.
The post Physical AI moves from demo floor to factory floor as robots face the real world appeared on BitcoinEthereumNews.com.
The key constraint is not investor enthusiasm. It is real-world data, battery life, edge chips, safety certification and the cost of deploying machines into messy industrial environments. Humanoids are attracting the heat, but nearer-term ROI still sits in purpose-built automation, warehouse AMRs and specialized robotics systems. The durable winners are likely to be companies with proprietary deployment data, clear labor-bottleneck solutions and Robotics-as-a-Service models that reduce upfront customer costs. Robots face the real world Citi’s Robotics & Physical AI Leadership Conference left a clear message: physical AI is no longer just a laboratory story or a venture-capital slide deck. It is starting to move from proof of concept toward commercial deployment. But the catch is just as important. This is not the same scaling curve as the chatbot boom. Robots d
The post NJ lidar bill pressures Tesla as Polymarket keeps Anthropic at 85.5% appeared on BitcoinEthereumNews.com.
Ted Hisokawa
Jul 08, 2026 12:35
In New Jersey, lawmakers are weighing a bill requiring fully autonomous vehicles to use cameras plus two extra sensors like lidar and radar, potentially blocking Tesla’s camera-only Robotaxi.
NJ lidar bill pressures Tesla as Polymarket keeps Anthropic at 85.5% New Jersey Robotaxi Lidar Bill: Anthropic Odds Jump as Traders Refocus on AI Model Leadership New Jersey lawmakers are weighing a bill that would require fully autonomous vehicles to use lidar and other sensors, a mandate that could block Tesla’s camera-only Robotaxi system in the state. On Polymarket, traders nudged up the leading pick in the “Which company has best AI model end of July?” market, with Anthropic holding a dominant share of the odds. Key Takeaways Anthropic leads Polymarket’s “Which company has best AI model end of July?” market at 85.5% implied odds.
The post Mistral launches Robostral Navigate, its first robotics model appeared on BitcoinEthereumNews.com.
AI company Mistral AI unveiled an 8-billion-parameter model, called Robostral Navigate, that steers robots with a single camera on Wednesday, marking the French company’s first move into physical A. The launch is intended to challenge the sensor-heavy navigation systems used across warehouses and factories. Mistral AI builds novel navigation system with AI The Paris-based startup, valued at 11.7 billion euros (about $13.4 billion) in its September Series C round, has spent most of its existence competing with OpenAI on text and code. Its new model, Robostral Navigate, however, puts the company in a totally different tech category. According to a Mistral press release, the model handles “embodied navigation,” which lets a robot move through offices, homes, commercial buildings, and outdoor spaces without external input. However, unlike regular autonomous navigation models that lea
