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19 May 2026, 18:19
Ethereum’s Key Researcher’s Exit Sparks Conversation: Is Ether Evolving into a New Governance Model?
Julian, a prominent figure in research and product at the Ethereum Foundation (EF), has announced his departure after a four-year tenure.
19 May 2026, 18:15
Google DeepMind Fuses Street View with Genie 3 to Create Interactive AI Worlds
BitcoinWorld Google DeepMind Fuses Street View with Genie 3 to Create Interactive AI Worlds Google DeepMind has taken a significant step in bridging the physical and digital worlds by integrating its Street View imagery directly into Project Genie, the company’s general-purpose world model. Announced at the Google I/O developer conference, the integration allows users to generate interactive, explorable environments anchored to real-world locations captured over two decades of Street View data. From Street View to Simulated Reality For 20 years, Google has collected over 280 billion images across 110 countries using camera-equipped cars and backpack-mounted trackers. Now, that vast dataset is feeding Genie 3, a world model capable of generating diverse, interactive 3D environments from text prompts or images. Jack Parker-Holder, a research scientist on DeepMind’s open-endedness team, explained to Bitcoin World that the combination of real-world data with generative simulation opens up powerful use cases for both robotics and human exploration. “It’s really powerful for both the agent [and robotics] use case and for humans to play with,” Parker-Holder said. He described a scenario where a robot deployed in London — a city that rarely sees sun — could be trained on simulated sunny days generated from Street View data, so the sudden glint of sunlight off Victorian-era housing doesn’t disrupt its sensors. Similarly, a traveler planning a trip to New York City in winter could use the tool to visualize a snowy version of a specific block, adjusting weather conditions on demand. Robotics and Autonomous Driving Training Genie 3 is already being used by Waymo, Google’s self-driving car subsidiary, to simulate exceedingly rare events — such as tornadoes or unexpected animal encounters — for training autonomous vehicles. Parker-Holder noted that while Waymo has its own simulator focused on the car’s point of view, Street View integration allows shifting the perspective to other agents, like pedestrians or delivery robots, enabling more comprehensive training scenarios. The ability to anchor simulations to real geographic locations could accelerate Waymo’s expansion into new cities around the globe, giving its AI driver exposure to diverse road layouts, signage, and environmental conditions without requiring physical fleet deployment. Still an Experiment with Room to Grow Despite the impressive demos — including an underwater simulation of a neighborhood — the technology remains experimental. Diego Rivas, a product manager at DeepMind, cautioned that Street View in Genie is still a work in progress. In samples shown to reporters, the environments were recognizable but video-game quality rather than photorealistic. The models also lack physics awareness: in one simulation, a woman running through a snowy Joshua Tree scene passed straight through cacti and bushes. Parker-Holder acknowledged the gap, comparing Genie’s current accuracy to that of video-generation models from six to twelve months ago. “I think it’s something we will solve,” he said, noting that physics understanding emerges intuitively through passive observation, similar to how living beings learn. Jonathan Herbert, director of Google Maps and a 12-year Street View veteran, emphasized that the real breakthrough is spatial continuity. When a user turns 360 degrees, the AI correctly remembers and simulates the environment behind them, then builds new environments on top of that understanding. “We have long thought about how we can build out the best and richest model of the world on top of Street View data,” Herbert said. Availability and Next Steps Google is launching Street View in Genie to select Ultra users in the United States starting today, with broader U.S. access rolling out over time. Global Ultra users will gain access over the next few weeks. The researchers’ goal, according to Rivas, is to put the capability into as many hands as possible, though he stressed that accuracy improvements remain a priority. Conclusion By connecting two decades of real-world imagery with generative AI, Google DeepMind is laying the groundwork for a new class of interactive simulations. While still in its early stages, the integration of Street View into Genie 3 represents a meaningful step toward AI systems that can understand, simulate, and interact with the physical world — with implications for robotics, autonomous driving, urban planning, and immersive education. FAQs Q1: What is Genie 3? Genie 3 is Google DeepMind’s general-purpose world model that can generate interactive, explorable 3D environments from text prompts or images. It is designed for robotics training, gaming, and educational experiences. Q2: How does Street View integration work? The integration allows Genie 3 to use Google’s massive Street View image dataset — over 280 billion images from 110 countries — as a foundation for generating simulations anchored to real-world locations. Users can explore these environments interactively and adjust conditions like weather. Q3: Is the simulation physically accurate? Not yet. The current version lacks physics awareness, meaning objects may not interact realistically (e.g., a character running through solid objects). Google expects this to improve over the next 6–12 months as the model learns physics intuitively through more data. This post Google DeepMind Fuses Street View with Genie 3 to Create Interactive AI Worlds first appeared on BitcoinWorld .
19 May 2026, 16:15
OpenAI co-founder Andrej Karpathy joins Anthropic to lead pre-training research team
BitcoinWorld OpenAI co-founder Andrej Karpathy joins Anthropic to lead pre-training research team Andrej Karpathy, the prominent AI researcher who co-founded OpenAI and previously led Tesla’s Autopilot and Full Self-Driving programs, has joined Anthropic to work on pre-training research. Karpathy announced the move on X Tuesday, calling the next few years at the frontier of large language models especially formative. A strategic hire for Anthropic Karpathy started this week at Anthropic, where he is working under team lead Nick Joseph on pre-training — the computationally intensive phase responsible for giving Claude its core knowledge and capabilities. An Anthropic spokesperson confirmed to Bitcoin World that Karpathy will establish a new team focused on using Claude itself to accelerate pre-training research. This hire signals Anthropic’s belief that AI-assisted research, rather than simply scaling compute, is the key to staying competitive with rivals like OpenAI and Google. Karpathy is one of the few researchers who bridges the gap between theoretical understanding of large language models and the practical realities of large-scale training runs. Karpathy’s career arc Karpathy’s journey through the AI industry has been closely watched. He left OpenAI in 2017 to join Tesla, where he led the company’s Full Self-Driving and Autopilot programs until 2022. He returned to OpenAI for a year before departing again in 2024 to launch Eureka Labs, a startup focused on applying AI assistants to education. Since then, he has shared few updates on Eureka Labs, and it remains unclear whether he will continue that venture alongside his new role at Anthropic. He has also maintained an active presence in AI education through his online course Neural Networks: Zero to Hero and his YouTube channel, where he posts lectures on LLMs and AI. In his announcement, Karpathy said he remains deeply passionate about education and plans to resume that work in time. Anthropic strengthens security team Separately, Anthropic has brought on Chris Rohlf to its frontier red team, which stress-tests advanced AI models against severe threats. Rohlf, a cybersecurity veteran with over 20 years of experience, previously worked at Yahoo’s well-known security team known as The Paranoids and spent six years at Meta. He was also a fellow at Georgetown’s Center for Security and Emerging Technology, where he contributed to the CyberAI project. In a post on X, Rohlf said there is a real opportunity to dramatically improve cybersecurity with AI and that he could not think of a better company or team to join at this critical moment. What this means for the AI landscape Karpathy’s move to Anthropic, combined with the addition of a seasoned cybersecurity expert, suggests the company is investing heavily in both frontier model development and safety research. Pre-training remains one of the most expensive and compute-intensive phases of building advanced AI systems, and Anthropic’s decision to focus on using AI to accelerate that work could give it a unique advantage. For readers following the AI industry, this development underscores a broader trend: leading AI labs are increasingly competing not just on raw compute power, but on the quality of their research teams and their ability to innovate in how models are built and trained. Conclusion Andrej Karpathy’s return to frontier AI research at Anthropic, alongside the company’s parallel investment in cybersecurity expertise, reflects a dual focus on capability and safety. As the race to build more advanced language models intensifies, the composition of research teams and the methods they use to accelerate progress will likely become as important as the scale of the hardware they deploy. FAQs Q1: What will Andrej Karpathy do at Anthropic? He will lead a new team focused on using Claude to accelerate pre-training research, working under team lead Nick Joseph. Pre-training is the phase that gives AI models their core knowledge and capabilities. Q2: Why is this hire significant? Karpathy is one of the few researchers with deep experience in both the theory and large-scale practice of training LLMs. His move signals Anthropic’s strategy of prioritizing AI-assisted research over simply scaling compute. Q3: Will Karpathy continue his education work? He has said he remains deeply passionate about education and plans to resume that work in time, but has not provided specific details. His startup Eureka Labs has not shared recent updates. This post OpenAI co-founder Andrej Karpathy joins Anthropic to lead pre-training research team first appeared on BitcoinWorld .
19 May 2026, 14:49
Bernstein bets Bitcoin miners could become AI Infra giants
Research firm Bernstein turned bullish on a group of publicly traded Bitcoin miners. The firm suggests that the companies with large power footprints could benefit from a surge in demand for artificial intelligence infrastructure. The firm assigned Outperform ratings to four miners, shows a public report citing Bernstein research. The list holds the names of IREN Limited, Riot Platforms, CleanSpark, and Core Scientific. The brokerage’s note is not publicly available. However, reports mention that Bernstein views access to power and existing infrastructure as increasingly valuable. It enables the tech companies to expand investments in AI computing. This comes in after a surge in demand for data centers. Training and operating AI systems need a large amount of electricity, land, and cooling capacity. This has already created pressure on the already stretched power infrastructure in the United States. Core Scientific offers the strongest public example of this. Can AI revive Bitcoin miners? Of the four miners, Core Scientific has moved furthest into AI-related hosting through agreements with cloud computing company CoreWeave. Back in June 2024, the company said that it would provide roughly 200 megawatts (MW) of infrastructure to support CoreWeave’s high-performance computing operations. The company said at the time of agreement, it was expected to generate more than $3.5 billion in cumulative revenue over a 12-year term. However, Core Scientific later disclosed some additional expansions in the deal. Several Bitcoin miners have reportedly begun introducing themselves less as pure crypto operators. They are trying to present it more as owners of power-intensive computing infrastructure. IREN had stated that the company’s strategy spans both Bitcoin mining and AI cloud services. On the other side, Riot Platforms executives were reportedly discussing the opportunities in high-performance computing and AI. They look at it as a potential area for growth. Four miners highlighted by Bernstein Company Publicly disclosed infrastructure position AI/HPC activity publicly disclosed Bernstein view* IREN Large-scale data center operations in North America AI cloud strategy discussed in company materials Outperform Riot Platforms Major U.S. mining footprint and energy access Exploring AI and high-performance computing opportunities Outperform CleanSpark Expanding bitcoin mining operations No large AI hosting contract publicly disclosed Outperform Core Scientific Established data center infrastructure Signed multi-year CoreWeave agreements Outperform *Based on public reporting summarizing Bernstein research. The original note is not publicly available. This comes in when Bitcoin price is taking a hit. BTC price dropped by around 6% in the last 7 days. BTC is trading at $76,370 at the press time. It is running down by more than 12% on a YTD basis. Turning mining facilities into AI-ready data centers is not as easy as it might sound. GPU-based computing typically requires different cooling systems, networking equipment and power configurations. This is quite different than Bitcoin mining operations. Don’t just read crypto news. Understand it. Subscribe to our newsletter. It's free .
19 May 2026, 11:04
Ethereum Price Primed for Quantum Narrative: Citi Says ETH Could Survive While Bitcoin Struggles
Ethereum price is falling by almost 8% this week, but Citi’s research notes could change how big money views the ETH/BTC relationship. The bank’s research cuts deeper than the quantum computing argument. Governance, not just cryptography, could decide which crypto survives Q-Day. In a widely circulated research note this week, Citi analysts warned that recent quantum computing breakthroughs have compressed the timeline for practical attacks on digital assets, and Bitcoin carries structurally greater exposure than Ethereum. Quantum threat looms: Citi warns Bitcoin is more vulnerable than Ethereum by 2030. The issue isn't tech—it's governance. Can Bitcoin adapt in time? #Crypto pic.twitter.com/y7xujjGZu1 — CVJ.AI (@cvj_ai) May 19, 2026 Bitcoin transactions expose the sender’s public key on-chain until confirmed, creating a window for a quantum attacker to exploit private keys and redirect funds. Citi’s analysis states the real vulnerability is not just technical on a technical level. Bitcoin’s conservative, consensus-driven governance makes rapid migration to quantum-resistant cryptography slow and politically contested, while Ethereum’s history of regular protocol upgrades gives it structural flexibility. Separately, Citi has raised its Ethereum year-end price target to $4,500, with a 12-month projection of $5,440. That combination of quantum resilience and rising institutional targets is moving ETH into a bullish narrative. LATEST: Citi sets a 12-month target of $181K for $BTC and $5,440 for $ETH . pic.twitter.com/zPr6YojbVu — Cointelegraph (@Cointelegraph) October 2, 2025 The implications for near-term price action are significant. If institutional capital begins rotating on quantum risk differentiation ETH’s technical setup becomes a lot more interesting. Discover: The best crypto to diversify your portfolio with Realistically, How Far Can the Ethereum Price Goes? Ethereum is currently consolidating in the $2,100 support that acts as a major floor. A sustained close above $2,500 would signal the beginning of a larger breakout phase, with Citi’s year-end target of $4,500 as the initial institutional benchmark. The bull case is straightforward: quantum narrative accelerates institutional rotation into ETH, spot ETH ETF inflows pick up through Q3, and DeFi/tokenization activity drives fee revenue that justifies higher multiples. Under that scenario, Citi’s bull-case projection of $5,000 comes into view by mid-2026. Ethereum (ETH) 24h 7d 30d 1y All time However, Citi’s $4,500 year-end target assumes steady ETF demand and continued Layer-2 adoption without a major macro shock. ETH needs to see a meaningful uptick in spot buying, not just derivatives activity, to confirm any move through $3,000 is sustainable rather than a liquidity squeeze. Recent institutional outlooks remain broadly bullish on ETH into 2026 , though the quantum angle adds a new variable that price models haven’t historically incorporated. Discover: The best pre-launch token sales Bitcoin Hyper Targets Early Mover Upside as Quantum Narrative Hits BTC If Citi’s quantum risk framing gains traction, the pressure will land squarely on Bitcoin’s limitations. BTC is known for slow transaction speeds, high fees, and a governance structure that resists rapid cryptographic upgrades. Bitcoin’s recent price struggles already reflect institutional uncertainty about its near-term ceiling, with Citi trimming its BTC 12-month target while lifting ETH’s. The rotation narrative is forming. The question is where early capital moves. Bitcoin Hyper ($HYPER) is positioning directly against Bitcoin’s structural weaknesses as the first-ever Bitcoin Layer 2 with Solana Virtual Machine (SVM) integration, delivering faster smart contract execution than Solana itself at a fraction of BTC’s native cost. The project has raised north of $32 million at a current presale price of $0.0136 , with staking incentives live for early participants. The SVM integration is the differentiator: it brings Ethereum-grade programmability to the Bitcoin ecosystem without sacrificing Bitcoin’s security base, a direct architectural response to the governance rigidity Citi just flagged. Research Bitcoin Hyper here before the next price increase. The post Ethereum Price Primed for Quantum Narrative: Citi Says ETH Could Survive While Bitcoin Struggles appeared first on Cryptonews .
19 May 2026, 10:02
Analyst Says XRP Will Mark a Launchpad Similar to 2025 Markup If This Happens
Crypto analyst ChartNerd has shared a new technical outlook for XRP that focuses on what he describes as a “third and final retest” within the asset’s long-term cyclical structure. The analyst argued that if the current setup succeeds, XRP could follow a path similar to previous major breakout periods seen in 2017 , 2021, and the current 2025 cycle. The chart attached to the post highlights what ChartNerd calls a “multi-year ascending support” trendline that has guided XRP’s historical market structure across several cycles. According to the visual analysis, each major correction phase led to strong upward expansions after XRP completed repeated retests of the support area. ChartNerd wrote, “If successful, this third and final retest within XRP’s cyclical structure will mark a launchpad similar to the 2017/2021 and 2025 markups.” He also added that even if the setup fails, he remains positioned in the market and thanked crypto commentator Moon Lambo for previous discussions on the asset. If successful, this third and final retest within $XRP 's cyclical structure will mark a launchpad similar to the 2017/2021 and 2025 markups. If it doesn't, we're positioned regardless thank you @MoonLamboio pic.twitter.com/iQSGk316Ni — ChartNerd (@ChartNerdTA) May 17, 2026 Historical Cycles Show Large Percentage Expansions The chart presented in the post compares historical XRP market cycles dating back to 2014. It identifies several “creation” and “retest” zones before large upward price movements occur. One section of the chart shows XRP recording gains above 68,000% during an earlier cycle, as later cycles displayed smaller but still significant percentage increases, including 1,091%, 696%, and a projected 2,014% move in the latest structure. The latest projection on the chart suggests that if XRP follows similar historical pattern, the asset could experience another sharp upward movement after completing the current retest zone. Moon Lambo Addresses XRP Price Expectations In a video attached to the discussion, crypto commentator Moon Lambo explained why he takes ChartNerd’s analysis seriously despite the chart’s aggressive upside targets. He noted that ChartNerd has consistently warned that XRP could still fall below the $1 level before any major rally begins. Moon Lambo emphasized that the analyst is not guaranteeing such a decline, but instead presenting it as a possible scenario within the broader market structure. He also pointed out that ChartNerd remains bullish on XRP over the long term and has previously suggested the asset could eventually reach as high as $27 if the projected breakout materializes. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 Crypto Market Liquidity Could Drive Large Moves According to Moon Lambo, many people outside the crypto industry dismiss large percentage targets for being unrealistic. However, he argued that digital asset markets operate differently from larger traditional financial markets due to lower liquidity and overall participation levels. He explained that when significant capital enters the crypto market during bullish periods, price movements can accelerate rapidly because it takes comparatively less money to move valuations higher. Moon Lambo stated that this market dynamic is one reason why digital assets have historically produced outsized returns during strong bull cycles. The discussion arrives as XRP continues to trade within a closely watched range while analysts debate whether the asset is preparing for another expansion phase. For supporters of the bullish thesis, the current “third retest” structure shown by ChartNerd could become one of the most important technical formations in XRP’s ongoing market cycle. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are advised to conduct thorough research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on X , Facebook , Telegram , and Google News The post Analyst Says XRP Will Mark a Launchpad Similar to 2025 Markup If This Happens appeared first on Times Tabloid .
