Risenshine!

🗺 Background:

Former President Donald Trump publicly accused major U.S. oil companies of price gouging on June 25, 2026.
Crude oil prices have returned to pre-Ukraine war levels while gasoline prices remain elevated.
Trump demanded that the Department of Justice investigate oil companies for artificially inflating consumer gas prices.
This confrontation marks a sudden break from Trump’s prior alliance with the oil industry during his past campaigns.

🎩 Key stakeholders:

Key stakeholders include Donald Trump, several Big Oil firms such as ExxonMobil, Chevron, and ConocoPhillips.
Major oil industry lobbying groups like the American Petroleum Institute are directly involved.
The U.S. Department of Justice (DOJ) is implicated by Trump’s call for a federal investigation.
Republican donors who spent nearly $100 million to support Trump’s election campaign are also central actors.

💡 News facts:

On June 25, 2026, Fortune reported that Trump accused his long-time Big Oil donors of price gouging and encouraged the DOJ to launch an investigation into their pricing practices. https://fortune.com/2026/06/25/trump-accuses-big-oil-of-price-gouging/
The same article noted that crude prices have dropped to levels before the Ukraine conflict, but consumer gasoline prices have not declined proportionally. https://fortune.com/2026/06/25/trump-accuses-big-oil-of-price-gouging/
Fortune also revealed that oil industry groups and executives were critical supporters with large financial contributions in the most recent presidential campaign. https://fortune.com/2026/06/25/trump-accuses-big-oil-of-price-gouging/

➡ Potential consequences:

In the near term, a DOJ investigation could lead to heightened regulatory scrutiny and legal risks for major oil companies.
Republican party funding channels from the oil industry may be jeopardized, reshaping campaign finance dynamics.
Sustained high gasoline prices amidst falling crude costs may increase consumer pressure on both politicians and industry.
Medium-term, the rift could realign political alliances and policy positions as the 2026 midterm elections approach.

🗺 Background:

The ongoing Iran war has caused renewed disruptions in global oil supply chains starting in early 2026.
Geopolitical tensions have previously accelerated clean energy transitions, but the impact from the Iran conflict is notable for its effect on electric vehicle (EV) adoption.
Historically, oil price spikes due to Middle East instability have pushed automakers and governments toward electrification to minimize energy security risks.
The global EV market has already been expanding, but the Iran war has intensified the focus on alternatives to oil for transportation.

🎩 Key stakeholders:

Goldman Sachs analysts have closely tracked shifts in global EV adoption since the Iran war began in 2026.
Major automakers like Tesla, BYD, and Volkswagen are central players in accelerating EV production in response to crises.
Global oil producers—including OPEC members and Iran—face increased pressure as EV adoption rises and oil demand growth slows.
Governments in the EU, US, and China are rapidly revisiting targets and incentives to support EV rollouts as part of broader energy security measures.

💡 News facts:

Goldman Sachs estimated a 3.4% surge in EV adoption directly attributable to the fallout from the Iran war, as reported by Fortune on June 25, 2026. https://fortune.com/2026/06/25/how-many-electric-vehicles-after-iran-war-goldman-sachs/

➡ Potential consequences:

Near-term oil demand is likely to see accelerated tapering, pressuring oil-dependent economies that are slow to diversify.
Automakers may face renewed supply chain and production capacity challenges as EV demand outpaces pre-war forecasts.
Global carbon emissions could fall slightly faster than projected, but the overall effect remains modest unless policy action matches market shifts.
Medium-term, the rapid EV transition may catalyze further investments in battery technology, charging infrastructure, and grid resilience worldwide.

🗺 Background:

AI-driven attack drones have emerged as pivotal technologies in the ongoing Russia-Ukraine conflict since 2022.
Unmanned aerial vehicles (UAVs) like Shahed drones are used for both reconnaissance and precision strikes.
Both Russia and Ukraine have accelerated investments in combat drone AI to enhance battlefield decision speed and autonomy.
The use of AI for target acquisition and strike decisions marks a significant evolution from the previous manually operated drone systems.

🎩 Key stakeholders:

Serhii 'Flash' Beskrestnov, a prominent Ukrainian drone warfare expert, plays a central role in Ukraine's autonomous drone development.
The Russian military is deploying Shahed drones, many equipped with Iranian technology, for autonomous attacks.
Ukrainian defense institutions and technical units are actively combat-testing AI-guided drones.
Commercial companies in the drone and AI sectors are increasingly involved in supplying advanced technologies to both sides.

💡 News facts:

On June 25, 2026, Serhii 'Flash' Beskrestnov confirmed that Russia and Ukraine are in the 'first stages of combat testing' AI-equipped drones that can autonomously select and attack targets (https://www.businessinsider.com/shaheds-ai-choose-target-attack-drones-serhii-flash-beskrestnov-ukraine-2026-6#article).
Beskrestnov emphasized that although autonomous decision-making is present, human controllers are still generally involved in the attack approval process, as of June 25, 2026 (https://www.businessinsider.com/shaheds-ai-choose-target-attack-drones-serhii-flash-beskrestnov-ukraine-2026-6#article).

➡ Potential consequences:

The integration of AI could significantly reduce the decision cycle, increasing the pace of operations in frontline combat.
AI-driven drones may heighten the risk of accidental escalation if autonomous systems misidentify targets.
Near-term use may amplify battlefield lethality and unpredictability for both Russian and Ukrainian forces.
Medium-term, widespread AI deployment could prompt international debates on autonomous weapons regulations and warfare ethics.

🗺 Background:

The 21st Century ROAD to Housing Act passed in the House by a 358-32 vote and in the Senate by an 85-5 vote in June 2026.
The bill is designed to address America's housing affordability and availability crisis with significant legislative measures.
A White House signing ceremony was scheduled but President Donald Trump canceled the event after Congress passed the bill.
Congress aimed for a veto-proof majority to ensure the bill's enactment despite executive opposition.

🎩 Key stakeholders:

Key individual stakeholders include President Donald Trump, House Speaker Karen Bass, and Senate Majority Leader Chuck Schumer.
Major institutional stakeholders are the U.S. Congress, the Department of Housing and Urban Development (HUD), and national housing advocacy groups.
Large real estate developers and housing policy think tanks are closely monitoring the bill’s implementation.
The legislation affects millions of American renters, homeowners, and low-income households.

💡 News facts:

Congress overwhelmingly passed the 21st Century ROAD to Housing Act with bipartisan votes of 358-32 in the House and 85-5 in the Senate this week (Fortune, 2026-06-25). https://fortune.com/2026/06/25/housing-bill-trump-voter-id-veto-proof-congress-2026/
President Trump abruptly canceled the scheduled signing ceremony for the bill, signaling executive disagreement (Fortune, 2026-06-25). https://fortune.com/2026/06/25/housing-bill-trump-voter-id-veto-proof-congress-2026/
Congressional leaders indicated that the passage margins were wide enough to potentially override a presidential veto if necessary (Fortune, 2026-06-25). https://fortune.com/2026/06/25/housing-bill-trump-voter-id-veto-proof-congress-2026/

➡ Potential consequences:

In the near term, Trump's refusal to sign may delay the implementation of new housing funding and reforms.
A possible congressional veto override could establish a precedent for housing policy enacted despite presidential opposition.
Medium-term effects may include increased political polarization over executive-legislative relations and housing initiatives.
The unresolved status of the bill could affect housing markets, tenant protections, and development incentives nationwide.

🗺 Background:

India has planned a $55 billion investment in green energy infrastructure spanning solar, wind, and hydropower projects.
The pipeline aims to develop 239 gigawatts of renewable energy capacity across 10 states.
This initiative constitutes about 90% of the country’s new planned renewable energy expansions.
India's clean energy goals are critical to meeting its climate commitments and reducing dependence on fossil fuels.

🎩 Key stakeholders:

Key Indian states involved include Rajasthan, Gujarat, and Tamil Nadu, which host many of the proposed projects.
Major companies such as NTPC, Adani Green Energy, and Tata Power are leading developers in India's green energy sector.
The Ministry of New and Renewable Energy (MNRE) oversees policy and regulation for the pipeline's development.
International investors and development banks have committed capital toward these renewable projects.

💡 News facts:

According to a June 25, 2026 Bloomberg report, a new assessment found that 239 GW of India's green energy pipeline is highly vulnerable to damaging weather events like tornadoes, wildfires, and extreme floods, threatening about 90% of planned capacity.

➡ Potential consequences:

Near-term delays in project completion are likely if extreme weather damages infrastructure before or during construction.
Insurance costs and risk mitigation expenses for renewable energy firms could rise substantially.
Medium-term national climate and energy targets may be at risk if a substantial portion of the green pipeline is stalled or impaired.
Foreign investment confidence may diminish if vulnerability concerns are not addressed by updated safeguards.

🗺 Background:

Video games are increasingly used as training grounds for AI agents due to their complex rule sets and interactive environments.
Simulated environments, such as those found in popular games like Fortnite, offer a cost-effective and scalable platform for data collection.
Transferring skills learned in games to real-world robotics aims to develop AI systems with human-like intuition.
The challenge is to ensure that AI agents trained in synthetic settings retain their effectiveness in non-virtual, physical settings.

🎩 Key stakeholders:

General Intuition is a prominent startup specializing in AI training via video game environments.
Epic Games, creator of Fortnite, contributes critical game environments and data for AI agent simulation.
Investors backing these efforts include major venture capital funds and tech-focused institutions.
Researchers and engineers in AI, robotics, and cognitive science collaborate on bridging simulated-to-real learning.

💡 News facts:

On June 25, 2026, General Intuition announced a total raise of $2.3 billion, including a recent $320 million funding round, to scale their AI platform trained on gameplay data. https://techcrunch.com/2026/06/25/general-intuitions-2-3b-bet-that-video-games-can-train-ai-agents-for-the-real-world/
The company claims its approach—using millions of hours of Fortnite and other game play data—can help AI develop closer to human-like intuition for real-world tasks. https://techcrunch.com/2026/06/25/from-fortnite-to-robots-general-intuitions-2-3b-bet-that-video-games-can-train-ai-agents-for-the-real-world/

➡ Potential consequences:

In the near term, scaled-up investment could accelerate AI performance improvements through simulated learning, leading to rapid deployment in robotics.
Medium-term, success in generalization from games to real environments could reshape the future of both gaming and AI-driven automation in industries.
There is a risk of overfitting to game-like dynamics, which might necessitate further adaptation for complex physical environments.
Increased public and regulatory scrutiny may follow as these AI agents are deployed in real-world tasks with greater autonomy.

🗺 Background:

IBM unveiled a chip architecture containing 100 billion transistors on June 25, 2026.
The chip achieves record density by stacking a second layer of silicon circuitry, doubling transistor count over previous designs.
Current state-of-the-art chips typically contain up to 50 billion transistors in a single layer.
This innovation targets next-generation AI workloads, focusing on higher performance and energy efficiency.

🎩 Key stakeholders:

IBM Research is the primary developer and patent holder of the 100 billion transistor chip.
Lead IBM scientists involved include Dr. Mukesh Khare, Vice President at IBM Semiconductor Research.
Major competitors affected include NVIDIA, AMD, and Intel in the AI hardware segment.
Partner institutions include the Albany NanoTech Complex and Samsung Electronics, contributing to development and fabrication.

💡 News facts:

IBM announced its new chip architecture on June 25, 2026, claiming it doubles transistor density compared to the current industry benchmark. https://www.newscientist.com/article/2530687-record-breaking-ibm-chip-uses-trick-to-cram-in-100-billion-transistors/
The IBM chip was developed by stacking two layers of silicon, allowing 100 billion transistors in total. https://www.newscientist.com/article/2530687-record-breaking-ibm-chip-uses-trick-to-cram-in-100-billion-transistors/
IBM's approach could bring higher performance and lower power consumption for future machine learning hardware, according to the June 25, 2026 New Scientist report. https://www.newscientist.com/article/2530687-record-breaking-ibm-chip-uses-trick-to-cram-in-100-billion-transistors/

➡ Potential consequences:

Near-term, AI training and inference hardware may see significant boosts in speed and energy efficiency due to increased transistor density.
Medium-term, competitors such as NVIDIA and AMD may accelerate development of stacked circuitry to remain competitive.
Advanced chip architectures are likely to drive greater adoption of AI in data centers and edge computing within 2-3 years.
Potential challenges include manufacturing complexity and reliability testing of vertically stacked silicon circuitry.

🗺 Background:

The Trump administration has prioritized public safety concerns in the release of advanced AI models.
White House interventions in AI development are aimed at mitigating risks and ensuring safe deployment.
Recent AI model releases by companies like OpenAI have prompted regulatory scrutiny due to potential misuse.
Industry leaders have advocated for government oversight to balance innovation and safety.

🎩 Key stakeholders:

OpenAI, led by CEO Sam Altman, is a central player in deploying advanced AI models.
The Trump administration and the White House are actively involved in regulating AI model launches.
Select OpenAI partners received access to GPT 5.6 ahead of public release.
TechCrunch has reported extensively on the implications of these interventions.

💡 News facts:

On June 25, 2026, TechCrunch reported that the White House instructed OpenAI to slow-roll the release of its new model, GPT 5.6, citing safety concerns. https://techcrunch.com/2026/06/25/the-white-house-is-asking-openai-to-slow-roll-the-release-of-its-new-model-over-safety-concerns/
OpenAI is sharing GPT 5.6 exclusively with a select group of partners instead of the broader public, as mandated by federal authorities. https://techcrunch.com/2026/06/25/the-white-house-is-asking-openai-to-slow-roll-the-release-of-its-new-model-over-safety-concerns/
The White House policy directly influenced OpenAI's decision on staggered deployment and partner access for GPT 5.6 as of June 25, 2026. https://techcrunch.com/2026/06/25/the-white-house-is-asking-openai-to-slow-roll-the-release-of-its-new-model-over-safety-concerns/

➡ Potential consequences:

Near-term: Slower AI model rollouts may hinder technological progress and delay public access to innovations.
Near-term: Increased government oversight could improve safety but might reduce industry flexibility and speed.
Medium-term: Regulatory interventions could establish new standards for responsible AI release practices.
Medium-term: Selective access to models may reinforce partnerships among industry leaders, impacting competition.

🗺 Background:

The Strait of Hormuz is a critical oil shipping route, responsible for nearly 20% of global oil shipments.
US-Iran negotiations resumed in mid-June 2026, culminating in a memorandum of understanding (MoU) around June 17–18, 2026.
Prior to the MoU, shipping volumes through the Strait were suppressed due to sanctions and an effective blockade.
The deal relieved immediate pressures, but did not restore shipping volumes to pre-war levels.

🎩 Key stakeholders:

Iranian government officials participated directly in the June 2026 MoU discussions.
The US State Department and Treasury were primary actors in sanction waivers post-agreement.
Major oil companies such as Saudi Aramco and QatarEnergy rely on the Strait for global deliveries.
International shipping firms and tanker operators, including those registered in Greece and Singapore, were affected by volume fluctuations.

💡 News facts:

Traffic through the Strait of Hormuz rebounded to 18-20 million barrels per day and around 70 ships daily immediately after the June 17–18, 2026 US-Iran MoU was enacted (Published: 2026-06-25; Source: https://www.nextbigfuture.com/2026/06/18-20-million-barrel-per-day-through-hormuz-and-70-ships-per-day.html).
Despite improvement, shipping volume remains volatile and below pre-war levels following implementation of the MoU (Published: 2026-06-25; Source: https://www.nextbigfuture.com/2026/06/18-20-million-barrel-per-day-through-hormuz-and-70-ships-per-day.html).

➡ Potential consequences:

Near-term: Oil price volatility may persist due to fluctuating shipping volumes and market uncertainty.
Near-term: Regional maritime security concerns continue as traffic normalization is incomplete.
Medium-term: Energy markets may adjust if sustained increases in volume through Hormuz stabilize.
Medium-term: Diplomatic interactions between the US, Iran, and Gulf countries may intensify to address long-term maritime stability.

🗺 Background:

Western and central Europe are experiencing record-setting heatwave conditions in June 2026.
Humidity levels during the current heatwave are higher than any previously recorded in the region.
Such extreme temperatures would have been virtually impossible to observe 50 years ago.
The combination of heat and humidity significantly increases the risk of adverse health effects.

🎩 Key stakeholders:

Meteorological agencies across Europe, including national weather services, are monitoring heatwave patterns.
Public health organizations are warning citizens about the health risks associated with extreme heat and humidity.
Local governments in affected cities are issuing advisories and opening cooling centers to protect vulnerable populations.
Research institutions such as New Scientist are providing scientific analysis of current weather data.

💡 News facts:

On June 26, 2026, New Scientist reported that Europe’s current heatwave is both the hottest and most humid ever recorded, presenting unprecedented health risks.

➡ Potential consequences:

Near-term consequence: Increased hospital admissions and potential for heat-related fatalities due to dangerous humidity levels in affected regions.
Medium-term consequence: Infrastructure strain, including power outages and disruptions to transportation networks, as local authorities respond to continued extreme conditions.
Medium-term consequence: Changing climate patterns may lead to more frequent and severe heatwaves in Europe, requiring updated emergency preparedness strategies.

Risenshine! Here is digest of signals harvested on 2026-06-28.
Markets
International - 06/26
Germany (EWG): -1.0713% -7.0039% MoM	France (EWQ): -0.7089% -2.5652% MoM	United Kingdom (EWU): -0.2616% -3.1124% MoM	Italy (EWI): -0.5428% -0.6776% MoM
Italy (EWI): -0.5428% -0.6776% MoM	Spain (EWP): -0.2041% +1.5225% MoM	Netherlands (EWN): -1.7534% +0.5984% MoM	Chile (ECH): +0.6108% -5.7912% MoM
Belgium (EWK): +0.2978% -0.7098% MoM	Germany (EWD): -0.4667% -7.5052% MoM	Australia (EWO): -1.5858% +1.8868% MoM	China Large-Cap (FXI): -0.2841% -10.5606% MoM
Japan (EWJ): -0.6318% +0.5526% MoM	India (INDA): +0.263% +2.0803% MoM	Taiwan (EWT): -2.0017% -0.1554% MoM	Hong Kong (EWH): -0.142% -8.7013% MoM
Singapore (EWS): +0.3044% +1.1941% MoM	Indonesia (IDX): -1.0547% -4.5328% MoM	Malaysia (EWM): +1.0135% -7.4303% MoM	Saudi Arabia (KSA): -0.0529% -2.4264% MoM
Arab Emirates (UAE): +0.733% +0.3652% MoM	Qatar (QAT): 0% -5.3487% MoM	Israel (EIS): -1.6441% -14.3532% MoM	Kuwait (KWT): -1.6954% -6.1358% MoM
Africa (AFK): +0.9404% -6.054% MoM
Commodities - 06/26
gold (GLD): +1.1287% -8.5339% MoM	silver (SLV): +1.7571% -21.0667% MoM	US oil (USO): -3.5038% -19.4994% MoM	platinium (PPLT): +1.9324% -15.261% MoM
agriculture (DBA): -0.4458% -2.439% MoM	carbon (KRBN): -1.1357% -0.4169% MoM	copper (CPER): +0.9465% -2.9886% MoM	gaz (UNG): +1.0213% +6.1717% MoM
corn (CORN): -0.531% -6.3333% MoM	weat (WEAT): -1.7287% -6.6919% MoM	uranium (URA): -0.7514% -13.0981% MoM	lithium (LIT): -3.2122% -11.2241% MoM
Favorites - 06/26
Adobe (ADBE): +4.8188% -14.9051% MoM	AMD (AMD): -2.0636% +5.2549% MoM	Microsoft (MSFT): +5.7081% -9.6203% MoM	Nvidia (NVDA): -1.6399% -9.4403% MoM
Oracle (ORCL): -2.5777% -22.2193% MoM	Axon (AXON): +4.5196% +18.7851% MoM	Amazon (AMZN): +2.5021% -14.405% MoM	Alibaba (BABA): -0.2735% -25.7905% MoM
JD (JD): +0.794% -14.9129% MoM	ARM (ARM): -3.8653% +10.4258% MoM	Intel (INTC): -3.4244% +5.379% MoM	Qualcom (QCOM): -7.5695% -18.856% MoM
Marvel (MRVL): -5.1518% +34.2577% MoM	Apple (AAPL): +3.1365% -8.7084% MoM	Lowe (LOW): +0.2478% +2.601% MoM
Sectors - 06/26
SP500 (SPY): -0.7231% -2.8609% MoM	healthcare (XLV): +3.0264% +7.7626% MoM	finance (XLF): +0.2245% +4.1813% MoM	real-estate (XLRE): +1.4577% +1.3668% MoM
semi-conductors (SOXX): -5.6398% +4.603% MoM	aerospace (ITA): -0.2528% +2.7334% MoM	reit (RWR): +1.1551% +2.8049% MoM	transportation (XTN): +0.3742% +4.7056% MoM
agriculture (MOO): -0.0883% -1.5289% MoM	clean energy (QCLN): -5.561% -13.3716% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
Analyzing the political fallout and economic impacts of Trump's confrontation with Big Oil over price gouging accusations
In the news: Trump turns on Big Oil donors who spent nearly $100 million to get him elected—now he wants the DOJ to investigate them for price gouging [Fortune]
🗺 Background: Former President Donald Trump publicly accused major U.S. oil companies of price gouging on June 25, 2026. Crude oil prices have returned to pre-Ukraine war levels while gasoline prices remain elevated. Trump demanded that the Department of Justice investigate oil companies for artificially inflating consumer gas prices. This confrontation marks a sudden break from Trump’s prior alliance with the oil industry during his past campaigns.
🎩 Key stakeholders: Key stakeholders include Donald Trump, several Big Oil firms such as ExxonMobil, Chevron, and ConocoPhillips. Major oil industry lobbying groups like the American Petroleum Institute are directly involved. The U.S. Department of Justice (DOJ) is implicated by Trump’s call for a federal investigation. Republican donors who spent nearly $100 million to support Trump’s election campaign are also central actors.
💡 News facts: On June 25, 2026, Fortune reported that Trump accused his long-time Big Oil donors of price gouging and encouraged the DOJ to launch an investigation into their pricing practices. https://fortune.com/2026/06/25/trump-accuses-big-oil-of-price-gouging/ The same article noted that crude prices have dropped to levels before the Ukraine conflict, but consumer gasoline prices have not declined proportionally. https://fortune.com/2026/06/25/trump-accuses-big-oil-of-price-gouging/ Fortune also revealed that oil industry groups and executives were critical supporters with large financial contributions in the most recent presidential campaign. https://fortune.com/2026/06/25/trump-accuses-big-oil-of-price-gouging/
➡ Potential consequences: In the near term, a DOJ investigation could lead to heightened regulatory scrutiny and legal risks for major oil companies. Republican party funding channels from the oil industry may be jeopardized, reshaping campaign finance dynamics. Sustained high gasoline prices amidst falling crude costs may increase consumer pressure on both politicians and industry. Medium-term, the rift could realign political alliances and policy positions as the 2026 midterm elections approach.
Read online: https://fortune.com/2026/06/25/trump-accuses-big-oil-of-price-gouging/
Examining the acceleration of the electric vehicle transition due to the Iran war and its implications on global energy markets
In the news: The Iran war is accelerating the EV transition faster than any climate policy ever did—but it’s still just not that much [Fortune]
🗺 Background: The ongoing Iran war has caused renewed disruptions in global oil supply chains starting in early 2026. Geopolitical tensions have previously accelerated clean energy transitions, but the impact from the Iran conflict is notable for its effect on electric vehicle (EV) adoption. Historically, oil price spikes due to Middle East instability have pushed automakers and governments toward electrification to minimize energy security risks. The global EV market has already been expanding, but the Iran war has intensified the focus on alternatives to oil for transportation.
🎩 Key stakeholders: Goldman Sachs analysts have closely tracked shifts in global EV adoption since the Iran war began in 2026. Major automakers like Tesla, BYD, and Volkswagen are central players in accelerating EV production in response to crises. Global oil producers—including OPEC members and Iran—face increased pressure as EV adoption rises and oil demand growth slows. Governments in the EU, US, and China are rapidly revisiting targets and incentives to support EV rollouts as part of broader energy security measures.
💡 News facts: Goldman Sachs estimated a 3.4% surge in EV adoption directly attributable to the fallout from the Iran war, as reported by Fortune on June 25, 2026. https://fortune.com/2026/06/25/how-many-electric-vehicles-after-iran-war-goldman-sachs/
➡ Potential consequences: Near-term oil demand is likely to see accelerated tapering, pressuring oil-dependent economies that are slow to diversify. Automakers may face renewed supply chain and production capacity challenges as EV demand outpaces pre-war forecasts. Global carbon emissions could fall slightly faster than projected, but the overall effect remains modest unless policy action matches market shifts. Medium-term, the rapid EV transition may catalyze further investments in battery technology, charging infrastructure, and grid resilience worldwide.
Read online: https://fortune.com/2026/06/25/how-many-electric-vehicles-after-iran-war-goldman-sachs/
How AI-driven attack drones are transforming modern warfare tactics in the Russia-Ukraine conflict
In the news: The next evolution of attack drones like Shaheds will see AI choosing their own targets: Ukraine's drone guru [Business Insider]
🗺 Background: AI-driven attack drones have emerged as pivotal technologies in the ongoing Russia-Ukraine conflict since 2022. Unmanned aerial vehicles (UAVs) like Shahed drones are used for both reconnaissance and precision strikes. Both Russia and Ukraine have accelerated investments in combat drone AI to enhance battlefield decision speed and autonomy. The use of AI for target acquisition and strike decisions marks a significant evolution from the previous manually operated drone systems.
🎩 Key stakeholders: Serhii 'Flash' Beskrestnov, a prominent Ukrainian drone warfare expert, plays a central role in Ukraine's autonomous drone development. The Russian military is deploying Shahed drones, many equipped with Iranian technology, for autonomous attacks. Ukrainian defense institutions and technical units are actively combat-testing AI-guided drones. Commercial companies in the drone and AI sectors are increasingly involved in supplying advanced technologies to both sides.
💡 News facts: On June 25, 2026, Serhii 'Flash' Beskrestnov confirmed that Russia and Ukraine are in the 'first stages of combat testing' AI-equipped drones that can autonomously select and attack targets (https://www.businessinsider.com/shaheds-ai-choose-target-attack-drones-serhii-flash-beskrestnov-ukraine-2026-6#article). Beskrestnov emphasized that although autonomous decision-making is present, human controllers are still generally involved in the attack approval process, as of June 25, 2026 (https://www.businessinsider.com/shaheds-ai-choose-target-attack-drones-serhii-flash-beskrestnov-ukraine-2026-6#article).
➡ Potential consequences: The integration of AI could significantly reduce the decision cycle, increasing the pace of operations in frontline combat. AI-driven drones may heighten the risk of accidental escalation if autonomous systems misidentify targets. Near-term use may amplify battlefield lethality and unpredictability for both Russian and Ukrainian forces. Medium-term, widespread AI deployment could prompt international debates on autonomous weapons regulations and warfare ethics.
Top Voices: Serhii 'Flash' Beskrestnov
Read online: https://www.businessinsider.com/shaheds-ai-choose-target-attack-drones-serhii-flash-beskrestnov-ukraine-2026-6#article
Understanding the motivations and consequences behind Congress passing the 21st Century ROAD to Housing Act and Trump's refusal to sign it
In the news: Congress just passed the most significant housing bill in decades, so why won’t Trump sign it? [Fortune]
🗺 Background: The 21st Century ROAD to Housing Act passed in the House by a 358-32 vote and in the Senate by an 85-5 vote in June 2026. The bill is designed to address America's housing affordability and availability crisis with significant legislative measures. A White House signing ceremony was scheduled but President Donald Trump canceled the event after Congress passed the bill. Congress aimed for a veto-proof majority to ensure the bill's enactment despite executive opposition.
🎩 Key stakeholders: Key individual stakeholders include President Donald Trump, House Speaker Karen Bass, and Senate Majority Leader Chuck Schumer. Major institutional stakeholders are the U.S. Congress, the Department of Housing and Urban Development (HUD), and national housing advocacy groups. Large real estate developers and housing policy think tanks are closely monitoring the bill’s implementation. The legislation affects millions of American renters, homeowners, and low-income households.
💡 News facts: Congress overwhelmingly passed the 21st Century ROAD to Housing Act with bipartisan votes of 358-32 in the House and 85-5 in the Senate this week (Fortune, 2026-06-25). https://fortune.com/2026/06/25/housing-bill-trump-voter-id-veto-proof-congress-2026/ President Trump abruptly canceled the scheduled signing ceremony for the bill, signaling executive disagreement (Fortune, 2026-06-25). https://fortune.com/2026/06/25/housing-bill-trump-voter-id-veto-proof-congress-2026/ Congressional leaders indicated that the passage margins were wide enough to potentially override a presidential veto if necessary (Fortune, 2026-06-25). https://fortune.com/2026/06/25/housing-bill-trump-voter-id-veto-proof-congress-2026/
➡ Potential consequences: In the near term, Trump's refusal to sign may delay the implementation of new housing funding and reforms. A possible congressional veto override could establish a precedent for housing policy enacted despite presidential opposition. Medium-term effects may include increased political polarization over executive-legislative relations and housing initiatives. The unresolved status of the bill could affect housing markets, tenant protections, and development incentives nationwide.
Read online: https://fortune.com/2026/06/25/housing-bill-trump-voter-id-veto-proof-congress-2026/
Evaluating the vulnerability of India's $55 billion green energy pipeline to climate damage and extreme weather events
🗺 Background: India has planned a $55 billion investment in green energy infrastructure spanning solar, wind, and hydropower projects. The pipeline aims to develop 239 gigawatts of renewable energy capacity across 10 states. This initiative constitutes about 90% of the country’s new planned renewable energy expansions. India's clean energy goals are critical to meeting its climate commitments and reducing dependence on fossil fuels.
🎩 Key stakeholders: Key Indian states involved include Rajasthan, Gujarat, and Tamil Nadu, which host many of the proposed projects. Major companies such as NTPC, Adani Green Energy, and Tata Power are leading developers in India's green energy sector. The Ministry of New and Renewable Energy (MNRE) oversees policy and regulation for the pipeline's development. International investors and development banks have committed capital toward these renewable projects.
💡 News facts: According to a June 25, 2026 Bloomberg report, a new assessment found that 239 GW of India's green energy pipeline is highly vulnerable to damaging weather events like tornadoes, wildfires, and extreme floods, threatening about 90% of planned capacity.
➡ Potential consequences: Near-term delays in project completion are likely if extreme weather damages infrastructure before or during construction. Insurance costs and risk mitigation expenses for renewable energy firms could rise substantially. Medium-term national climate and energy targets may be at risk if a substantial portion of the green pipeline is stalled or impaired. Foreign investment confidence may diminish if vulnerability concerns are not addressed by updated safeguards.
Science News
The effectiveness of video game environments for accelerating AI agent learning and real-world transfer
In the news: General Intuition's $2.3B bet that video games can train AI agents for the real world \| TechCrunch [TechCrunch] From Fortnite to robots: General Intuition raises $2.3B on bet that video games can train AI agents for the real world [TechCrunch]
🗺 Background: Video games are increasingly used as training grounds for AI agents due to their complex rule sets and interactive environments. Simulated environments, such as those found in popular games like Fortnite, offer a cost-effective and scalable platform for data collection. Transferring skills learned in games to real-world robotics aims to develop AI systems with human-like intuition. The challenge is to ensure that AI agents trained in synthetic settings retain their effectiveness in non-virtual, physical settings.
🎩 Key stakeholders: General Intuition is a prominent startup specializing in AI training via video game environments. Epic Games, creator of Fortnite, contributes critical game environments and data for AI agent simulation. Investors backing these efforts include major venture capital funds and tech-focused institutions. Researchers and engineers in AI, robotics, and cognitive science collaborate on bridging simulated-to-real learning.
💡 News facts: On June 25, 2026, General Intuition announced a total raise of $2.3 billion, including a recent $320 million funding round, to scale their AI platform trained on gameplay data. https://techcrunch.com/2026/06/25/general-intuitions-2-3b-bet-that-video-games-can-train-ai-agents-for-the-real-world/ The company claims its approach—using millions of hours of Fortnite and other game play data—can help AI develop closer to human-like intuition for real-world tasks. https://techcrunch.com/2026/06/25/from-fortnite-to-robots-general-intuitions-2-3b-bet-that-video-games-can-train-ai-agents-for-the-real-world/
➡ Potential consequences: In the near term, scaled-up investment could accelerate AI performance improvements through simulated learning, leading to rapid deployment in robotics. Medium-term, success in generalization from games to real environments could reshape the future of both gaming and AI-driven automation in industries. There is a risk of overfitting to game-like dynamics, which might necessitate further adaptation for complex physical environments. Increased public and regulatory scrutiny may follow as these AI agents are deployed in real-world tasks with greater autonomy.
Read online: https://techcrunch.com/2026/06/25/from-fortnite-to-robots-general-intuitions-2-3b-bet-that-video-games-can-train-ai-agents-for-the-real-world/ https://techcrunch.com/2026/06/25/general-intuitions-2-3b-bet-that-video-games-can-train-ai-agents-for-the-real-world/
The implications of IBM's 100 billion transistor chip architecture for next-generation AI hardware
In the news: Record-breaking IBM chip uses trick to cram in 100 billion transistors [New Scientist]
🗺 Background: IBM unveiled a chip architecture containing 100 billion transistors on June 25, 2026. The chip achieves record density by stacking a second layer of silicon circuitry, doubling transistor count over previous designs. Current state-of-the-art chips typically contain up to 50 billion transistors in a single layer. This innovation targets next-generation AI workloads, focusing on higher performance and energy efficiency.
🎩 Key stakeholders: IBM Research is the primary developer and patent holder of the 100 billion transistor chip. Lead IBM scientists involved include Dr. Mukesh Khare, Vice President at IBM Semiconductor Research. Major competitors affected include NVIDIA, AMD, and Intel in the AI hardware segment. Partner institutions include the Albany NanoTech Complex and Samsung Electronics, contributing to development and fabrication.
💡 News facts: IBM announced its new chip architecture on June 25, 2026, claiming it doubles transistor density compared to the current industry benchmark. https://www.newscientist.com/article/2530687-record-breaking-ibm-chip-uses-trick-to-cram-in-100-billion-transistors/ The IBM chip was developed by stacking two layers of silicon, allowing 100 billion transistors in total. https://www.newscientist.com/article/2530687-record-breaking-ibm-chip-uses-trick-to-cram-in-100-billion-transistors/ IBM's approach could bring higher performance and lower power consumption for future machine learning hardware, according to the June 25, 2026 New Scientist report. https://www.newscientist.com/article/2530687-record-breaking-ibm-chip-uses-trick-to-cram-in-100-billion-transistors/
➡ Potential consequences: Near-term, AI training and inference hardware may see significant boosts in speed and energy efficiency due to increased transistor density. Medium-term, competitors such as NVIDIA and AMD may accelerate development of stacked circuitry to remain competitive. Advanced chip architectures are likely to drive greater adoption of AI in data centers and edge computing within 2-3 years. Potential challenges include manufacturing complexity and reliability testing of vertically stacked silicon circuitry.
Read online: https://www.newscientist.com/article/2530687-record-breaking-ibm-chip-uses-trick-to-cram-in-100-billion-transistors/
The White House's intervention in AI model releases and its effect on industry development and public safety
In the news: The White House is asking OpenAI to slow roll the release of its new model over safety concerns \| TechCrunch [TechCrunch]
🗺 Background: The Trump administration has prioritized public safety concerns in the release of advanced AI models. White House interventions in AI development are aimed at mitigating risks and ensuring safe deployment. Recent AI model releases by companies like OpenAI have prompted regulatory scrutiny due to potential misuse. Industry leaders have advocated for government oversight to balance innovation and safety.
🎩 Key stakeholders: OpenAI, led by CEO Sam Altman, is a central player in deploying advanced AI models. The Trump administration and the White House are actively involved in regulating AI model launches. Select OpenAI partners received access to GPT 5.6 ahead of public release. TechCrunch has reported extensively on the implications of these interventions.
💡 News facts: On June 25, 2026, TechCrunch reported that the White House instructed OpenAI to slow-roll the release of its new model, GPT 5.6, citing safety concerns. https://techcrunch.com/2026/06/25/the-white-house-is-asking-openai-to-slow-roll-the-release-of-its-new-model-over-safety-concerns/ OpenAI is sharing GPT 5.6 exclusively with a select group of partners instead of the broader public, as mandated by federal authorities. https://techcrunch.com/2026/06/25/the-white-house-is-asking-openai-to-slow-roll-the-release-of-its-new-model-over-safety-concerns/ The White House policy directly influenced OpenAI's decision on staggered deployment and partner access for GPT 5.6 as of June 25, 2026. https://techcrunch.com/2026/06/25/the-white-house-is-asking-openai-to-slow-roll-the-release-of-its-new-model-over-safety-concerns/
➡ Potential consequences: Near-term: Slower AI model rollouts may hinder technological progress and delay public access to innovations. Near-term: Increased government oversight could improve safety but might reduce industry flexibility and speed. Medium-term: Regulatory interventions could establish new standards for responsible AI release practices. Medium-term: Selective access to models may reinforce partnerships among industry leaders, impacting competition.
Read online: https://techcrunch.com/2026/06/25/the-white-house-is-asking-openai-to-slow-roll-the-release-of-its-new-model-over-safety-concerns/
How Iran-US negotiations impacted the oil shipping volume through the Strait of Hormuz in mid-2026
In the news: 18-20 million Barrel Per Day Through Hormuz and 70 Ships Per Day [Next Big Future]
🗺 Background: The Strait of Hormuz is a critical oil shipping route, responsible for nearly 20% of global oil shipments. US-Iran negotiations resumed in mid-June 2026, culminating in a memorandum of understanding (MoU) around June 17–18, 2026. Prior to the MoU, shipping volumes through the Strait were suppressed due to sanctions and an effective blockade. The deal relieved immediate pressures, but did not restore shipping volumes to pre-war levels.
🎩 Key stakeholders: Iranian government officials participated directly in the June 2026 MoU discussions. The US State Department and Treasury were primary actors in sanction waivers post-agreement. Major oil companies such as Saudi Aramco and QatarEnergy rely on the Strait for global deliveries. International shipping firms and tanker operators, including those registered in Greece and Singapore, were affected by volume fluctuations.
💡 News facts: Traffic through the Strait of Hormuz rebounded to 18-20 million barrels per day and around 70 ships daily immediately after the June 17–18, 2026 US-Iran MoU was enacted (Published: 2026-06-25; Source: https://www.nextbigfuture.com/2026/06/18-20-million-barrel-per-day-through-hormuz-and-70-ships-per-day.html). Despite improvement, shipping volume remains volatile and below pre-war levels following implementation of the MoU (Published: 2026-06-25; Source: https://www.nextbigfuture.com/2026/06/18-20-million-barrel-per-day-through-hormuz-and-70-ships-per-day.html).
➡ Potential consequences: Near-term: Oil price volatility may persist due to fluctuating shipping volumes and market uncertainty. Near-term: Regional maritime security concerns continue as traffic normalization is incomplete. Medium-term: Energy markets may adjust if sustained increases in volume through Hormuz stabilize. Medium-term: Diplomatic interactions between the US, Iran, and Gulf countries may intensify to address long-term maritime stability.
Read online: https://www.nextbigfuture.com/2026/06/18-20-million-barrel-per-day-through-hormuz-and-70-ships-per-day.html
Record-setting heatwaves in Europe: patterns, causes, and humidity's role in health risk escalation
🗺 Background: Western and central Europe are experiencing record-setting heatwave conditions in June 2026. Humidity levels during the current heatwave are higher than any previously recorded in the region. Such extreme temperatures would have been virtually impossible to observe 50 years ago. The combination of heat and humidity significantly increases the risk of adverse health effects.
🎩 Key stakeholders: Meteorological agencies across Europe, including national weather services, are monitoring heatwave patterns. Public health organizations are warning citizens about the health risks associated with extreme heat and humidity. Local governments in affected cities are issuing advisories and opening cooling centers to protect vulnerable populations. Research institutions such as New Scientist are providing scientific analysis of current weather data.
💡 News facts: On June 26, 2026, New Scientist reported that Europe’s current heatwave is both the hottest and most humid ever recorded, presenting unprecedented health risks.
➡ Potential consequences: Near-term consequence: Increased hospital admissions and potential for heat-related fatalities due to dangerous humidity levels in affected regions. Medium-term consequence: Infrastructure strain, including power outages and disruptions to transportation networks, as local authorities respond to continued extreme conditions. Medium-term consequence: Changing climate patterns may lead to more frequent and severe heatwaves in Europe, requiring updated emergency preparedness strategies.
Culture
Yi Yuanji "The essence of painting lies in capturing the spirit of life, not merely its form..." Yi Yuanji was a Chinese painter of the Northern Song Dynasty known for his detailed and lifelike paintings of animals, especially monkeys. His work is celebrated for its naturalism and precision, reflecting the Song Dynasty's interest in the natural world.... learn more		Murasaki Shikibu "The heart that is truly wise mourns less for what age takes away than what it leaves behind..." Murasaki Shikibu was a Japanese novelist, poet, and lady-in-waiting at the Imperial court during the Heian period. She is best known for writing 'The Tale of Genji,' considered one of the world's first novels and a masterpiece of Japanese literature.... learn more
Al-Biruni "The knowledge of what is possible is the beginning of the realization of what is impossible..." Al-Biruni was a Persian scholar and polymath who made significant contributions to various scientific fields including astronomy, mathematics, and geography. He is renowned for his accurate calculation of the earth's radius and his comparative studies of cultures and religions.... learn more		Emperor Shenzong of Song "The prosperity of the state depends on the wisdom of its rulers and the diligence of its people..." Emperor Shenzong was the sixth emperor of the Song Dynasty in China, reigning from 1067 to 1085. His reign is noted for the implementation of the New Policies (Xin Fa) which aimed to strengthen the state through reforms in finance, military, and governance.... learn more
NASA
NASA Picture of the Day AR 4478: Giant Sunspot Group (2026-06-28) Credits: Alfredo Vidal Pérez
Github
Trading tools
StateOfTheArt.quant 8 stars #290 State-of-the-art performance in quantitative trading domain... learn more		MangroveKnowledgeBase 8 stars #291 Open-source trading signals and technical indicators for quantitative finance and algorithmic trading... learn more
Cointegrated-Pairs-Trading 8 stars #292 Algo trading strategy, entrance task to CMF, Quantitative Analytics program, 2021... learn more		Quant-Strategy-Tokenizer 8 stars #293 Agent-oriented modules for decomposing quantitative trading strategies into reusable strategy tokens.... learn more
Sea Vessels
Sailing-Provisioning-Checklist-by-Sailing-Religion 0 stars #290 "Essential offshore provisioning checklist for sailors. Plan and track all your boat's food, drinks, and supplies for long voyages. Stay organized and prepared for any sailing adve... learn more		Sahayak 0 stars #291 SahayakMap is a real-time flood intelligence dashboard for Odisha's Mahanadi-Brahmani-Baitarani delta. It fuses live river gauges, IMD nowcasts, AI forecasting, social signal triag... learn more
Kerry-Eco-Voyage-Management-System-Distributed-Systems-Project 0 stars #292 The KEVMS is a distributed application designed for a typical marine tourism company based in Kerry region. This system automates several operations part of a boat fleet exploring ... learn more		Aert-Management-System-for-Fisherman 0 stars #293 An alert management system for fishermen is a digital guardian at sea. It uses GPS to track location, sensors to monitor boat conditions, and can trigger alarms for emergencies, bo... learn more
Air Vessels
TrackingAndVisualizingPlanes 0 stars #290 learn more		Missile-Tracking 0 stars #291 Code used for tracking planes... learn more
Lab5-AR-Plane-Tracking 0 stars #292 Falling Ball on Plane and Spawn Dolphin and Wale on Plane... learn more		planets_tracking 0 stars #293 A python, matplotlib project to track all the planets.... learn more
Imagery
CGPN-GAN 6 stars #290 CLIP-Guided Generative Network for Pathology Nuclei Image Augmentation... learn more		TRFeat 6 stars #291 Triple Robustness Augmentation Local Features for Multi-source Image Registration... learn more
voxelmentations 6 stars #292 A Python library for 3d image data augmentation. Useful for machine learning.... learn more		pipline_transfrom 6 stars #293 This efficient image augmentation pipline, which only depends on OpenCV and numpy.... learn more
Video
HoloTime 159 stars #290 [ACM MM 2025] HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation... learn more		zhihui_nodes_comfyui 159 stars #291 55+ ComfyUI自定义节点合集，涵盖提示词生成/扩写、多平台翻译、AI视觉理解、图像处理、视频提示词生成等功能。界面支持中、英文语言。 55+ ComfyUI custom nodes featuring prompt generation/expansion, multi-platform translation, AI vision unders... learn more
force-prompting 155 stars #292 Official implementation of "Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals" (NeurIPS 2025)... learn more		nbcraft 155 stars #293 Multi-backend image and video generation CLI — Gemini, DashScope (wan), Volcengine Ark (Seedream/Seedance), OpenAI gpt-image-2.... learn more