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.
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Cerebras' backlog highlights AI's infrastructure demand, impacting crypto and tech sectors by tightening resource availability and influencing valuations.
The post Cerebras CEO highlights $25B backlog from major AI players appeared first on Crypto Briefing.
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
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 Dow Jones futures advance due to tech, AI rally appeared on BitcoinEthereumNews.com.
Dow Jones futures gain 0.17% to trade around 52,710 during European trading hours on Thursday. Meanwhile, S&P 500 futures and Nasdaq 100 futures advance 0.34% and 0.74%, trading near 7,550 and 29,690, respectively. US stock futures rise amid a sharp bounce in tech and AI sectors. Tech futures jumped on reports that Beijing will allow top Chinese AI firms to purchase a limited supply of Nvidia’s H200 chips. Chinese officials have recently informed major players, including Alibaba, ByteDance, and DeepSeek, that they may soon receive the necessary green light to procure the processors. However, traders worry that elevated energy prices could reignite inflation, potentially forcing the Federal Reserve (Fed) into an earlier-than-expected rate hike. This follows a down Wednesday where the Dow Jones and S&P 500 fell 1.09% and 0.28%, dragged down by materials, financials, and real estate, while the Na