With the Iran war and other geopolitical events roiling commodity markets, prediction markets platform Kalshi dramatically expanded the types of commodities contracts it's offering, the company said on Wednesday. In addition to the trading it already offers for WTI and Brent oil, gold, and silver, Kalshi ( KALSHI ) is adding natural gas, coffee, copper, sugar, corn, soybeans, wheat, nickel, diesel...
With the Iran war and other geopolitical events roiling commodity markets, prediction markets platform Kalshi dramatically expanded the types of commodities contracts it's offering, the company said on Wednesday. In addition to the trading it already offers for WTI and Brent oil, gold, and silver, Kalshi ( KALSHI ) is adding natural gas, coffee, copper, sugar, corn, soybeans, wheat, nickel, diesel, and lithium. The commodities event contracts will be grouped in a dedicated hub on the platform. Individuals and institutions will be able to trade on the future direction of those key commodities 24/7, it added. More on Kalshi Inc Prediction market boom forecast spurs gains in Robinhood and Coinbase; Bernstein says $1T potential Kalshi saw record sports trading volume during the Masters golf tournament White House warns staff against placing bets on Polymarket, Kalshi
Uber stock rallies on an expanded deal with Lucid Group as part of the company’s $10 billion commitment to its robotaxi strategy. But does that warrant buying UBER shares today?
Uber stock rallies on an expanded deal with Lucid Group as part of the company’s $10 billion commitment to its robotaxi strategy. But does that warrant buying UBER shares today?
SDI Productions/E+ via Getty Images Medical Properties Trust, Inc. ( MPT ) has 23.25% of its shares outstanding being sold short, the second-largest percentage of any publicly listed REIT, with the common shares of the internally managed net-leased hospital owner down 77% over the last 5 years. That short interest in MPT has remained sticky even after such a dip reflects a view by bears that the w...
SDI Productions/E+ via Getty Images Medical Properties Trust, Inc. ( MPT ) has 23.25% of its shares outstanding being sold short, the second-largest percentage of any publicly listed REIT, with the common shares of the internally managed net-leased hospital owner down 77% over the last 5 years. That short interest in MPT has remained sticky even after such a dip reflects a view by bears that the worst is not yet over. The REIT held a total debt balance of $9.8 billion as of the end of its fiscal 2025 fourth quarter. This was at a weighted average rate of 5.36%, essentially flat sequentially from the third quarter but up 112 basis points from 4.238% a year ago. This is set against a total cash and cash equivalents of $540.85 million as of the end of the fourth quarter. The REIT has $1.23 billion of debt coming due for repayment this year, around 12.5% of its total debt balance, with $1.60 billion due for repayment in 2027. This places MPT in a tougher position where it will either have to refinance currently cheap fixed-rate debt at higher rates or continue to divest hospital properties. Medical Properties Trust Fiscal 2025 Fourth Quarter Supplemental The REIT had investments in 384 facilities spread across 39,000 licensed beds in 31 U.S. states, Colombia, and seven countries in Europe as of the end of its fourth quarter. These drove fourth-quarter revenue of $270.34 million , up 16.6% over its year-ago comp and a beat by $25.68 million on consensus estimates. Fourth-quarter funds from operations ("FFO") at $0.18 per share was also a beat by 3 cents. Hence, with dual beats, a $150 million share buyback program, and a dividend raise last year, it's hard to see why the short interest has remained so sticky. MPT repurchased 4.5 million shares during the fourth quarter for $23.4 million and last declared a quarterly cash dividend of $0.09 per share , kept unchanged from its prior distribution, and $0.36 per share annualized for a 7.2% dividend yield. MPT's dividend histo...
Russia Vows To 'Fill China's Energy Resource Gap' Amid Hormuz Crisis In Lavrov-Xi Meeting At a moment it remains a serious open question over just how vulnerable China is to the Hormuz Strait crisis, and now with the US-imposed US naval blockade of the vital oil transit waterway, Russian Foreign Minister Sergey Lavrov is in Beijing pledging energy support to China . Lavrov met with President Xi Ji...
Russia Vows To 'Fill China's Energy Resource Gap' Amid Hormuz Crisis In Lavrov-Xi Meeting At a moment it remains a serious open question over just how vulnerable China is to the Hormuz Strait crisis, and now with the US-imposed US naval blockade of the vital oil transit waterway, Russian Foreign Minister Sergey Lavrov is in Beijing pledging energy support to China . Lavrov met with President Xi Jinping on Wednesday, during which Xi urged China and Russia to "give full play to the advantages of geographic proximity and complementarity , deepen all-round cooperation and raise the resilience of each other's development." Russia remains China's top energy supplier. "Both sides should maintain strategic focus, trust each other, support each other, develop together," Xi continued, according to a Chinese state media readout. via Russian Foreign Ministry Lavrov in turn told Xi that Chinese-Russian relations play a "stabilizing role in world affairs" at a time of global "chaos and turmoil." This has been a consistent theme on which relations and trust have been built between Beijing and Moscow going back to the start of the Ukraine war over four years ago. Importantly, after the meeting the Russian foreign minister announced to a press conference that Moscow stands ready to increase energy supplies to China . " Russia can certainly fill the resource gap that has arisen in China and other countries interested in working with us on an equal and mutually beneficial basis," Lavrov stated. The two-day Lavrov visit is toward laying the groundwork for an upcoming summit between Xi and Russian President Vladimir Putin. It's expected for the first half of this year, but likely after Trump's upcoming May 14-15 summit with the Chinese leader. The Hormuz crisis is a threat to Chinese energy given Asia's largest power still depends heavily on global supply routes it does not fully control . While Beijing has for many years sought to diversify through pipelines from Russia and Central Asi...
Lande Spottswood, partner, M&A and capital at markets at Vinson & Elkins, and Dwight Scott, executive vice chairman at Quantum Capital Group, join Bloomberg's David Carnevali and Dani Burger on "Bloomberg Deals." They discuss energy dealmaking during the Iran War. (Source: Bloomberg)
Lande Spottswood, partner, M&A and capital at markets at Vinson & Elkins, and Dwight Scott, executive vice chairman at Quantum Capital Group, join Bloomberg's David Carnevali and Dani Burger on "Bloomberg Deals." They discuss energy dealmaking during the Iran War. (Source: Bloomberg)
AI agents are now embedded in real enterprise workflows, and they're still failing roughly one in three attempts on structured benchmarks. That gap between capability and reliability is the defining operational challenge for IT leaders in 2026, according to Stanford HAI's ninth annual AI Index report. This uneven, unpredictable performance is what the AI Index calls the "jagged frontier," a term c...
AI agents are now embedded in real enterprise workflows, and they're still failing roughly one in three attempts on structured benchmarks. That gap between capability and reliability is the defining operational challenge for IT leaders in 2026, according to Stanford HAI's ninth annual AI Index report. This uneven, unpredictable performance is what the AI Index calls the "jagged frontier," a term coined by AI researcher Ethan Mollick to describe the boundary where AI excels and then suddenly fails. “AI models can win a gold medal at the International Mathematical Olympiad,” Stanford HAI researchers point out, “but still can’t reliably tell time.” How models advanced in 2025 Enterprise AI adoption has reached 88%. Notable accomplishments in 2025 and early 2026: Frontier models improved 30% in just one year on Humanity's Last Exam (HLE), which includes 2,500 questions across math, natural sciences, ancient languages, and other specialized subfields. HLE was built to be difficult for AI and favorable to human experts. Leading models scored above 87% on MMLU-Pro, which tests multi-step reasoning based on 12,000 human-reviewed questions across more than a dozen disciplines. This illustrates “how competitive the frontier has become on broad knowledge tasks,” the Stanford HAI researchers note. Top models including Claude Opus 4.5, GPT-5.2, and Qwen3.5 scored between 62.9% and 70.2% on τ-bench. The benchmark tests agents on real-world tasks in realistic domains that involve chatting with a user and calling external tools or APIs. Model accuracy on GAIA, which benchmarks general AI assistants, rose from about 20% to 74.5%. Agent performance on SWE-bench Verified rose from 60% to near 100% in just one year. The benchmark evaluates models on their ability to resolve real-world software issues. Success rates on WebArena increased from 15% in 2023 to 74.3% in early 2026. This benchmark presents a realistic web environment for evaluating autonomous AI agents, tasking them with inf...
Key PointsSowa Financial Group, Inc. added 217,816 shares of Harbor Commodity All-Weather Strategy ETF ; estimated trade size was $6.09 million (based on quarterly average price).
Key PointsSowa Financial Group, Inc. added 217,816 shares of Harbor Commodity All-Weather Strategy ETF ; estimated trade size was $6.09 million (based on quarterly average price).
Robots such as Boston Dynamics’ four-legged Spot can now accurately read analog thermometers and pressure gauges while roaming around factories and warehouses. Those improvements come courtesy of Google DeepMind’s newest robotic AI model that aims to enhance robotic capabilities for ‘embodied reasoning’ when interacting with physical environments. The new Gemini Robotics-ER 1.6 model announced on ...
Robots such as Boston Dynamics’ four-legged Spot can now accurately read analog thermometers and pressure gauges while roaming around factories and warehouses. Those improvements come courtesy of Google DeepMind’s newest robotic AI model that aims to enhance robotic capabilities for ‘embodied reasoning’ when interacting with physical environments. The new Gemini Robotics-ER 1.6 model announced on April 14 performs as a “high-level reasoning model for a robot” that can plan and execute tasks, according to Google DeepMind. This model also unlocks the capability of accurately reading instruments such as complex gauges and doing visual inspections using sight glasses that provide a transparent window to peek inside tanks and pipes—a performance upgrade that came about through Google DeepMind’s ongoing collaboration with robotics company Boston Dynamics. Boston Dynamics has a keen interest in testing both quadruped and humanoid robotic workers in a wide range of industrial facilities, including the automotive factories of the robotic company’s corporate owner, Hyundai Motor Group. The company’s robot “dog,” Spot, is being trialled as a robotic inspector that roams throughout industrial facilities to check up on everything. Such inspection duties require “complex visual reasoning” to interpret the multiple needles, liquid levels, container boundaries and tick marks, along with text, in various instruments. Read full article Comments