Risenshine!

🗺 Background:

Bangladesh is constructing its first nuclear power plant, Rooppur, located on the banks of the Padma River, with two Russian-designed reactors expected to be fully operational by 2028 and a combined capacity of 2,400 MW.
The $12.65 billion project aims to supply up to 15% of Bangladesh's electricity needs, reducing dependence on imported fossil fuels and enhancing energy security.
The plant is financed mainly by Russian state loans (about 90%), with construction led by Rosatom, and was delayed by the COVID-19 pandemic, Russia-Ukraine war, and related geopolitical tensions.
Rising electricity demand, industrial growth, and recurring fuel supply shocks have driven Bangladesh to diversify its energy mix towards nuclear, amid broader emerging market trends.

🎩 Key stakeholders:

Bangladesh's government, led by Prime Minister Tarique Rahman and Power and Energy Minister Iqbal Hassan Mahmood, is the primary policymaker for the Rooppur project.
Rosatom, Russia's state nuclear corporation, is the lead contractor and technology supplier for Rooppur, having secured the main construction and financing deal.
International Atomic Energy Agency (IAEA) oversees project safety and compliance reviews.
Potential new stakeholders include Rolls-Royce Holdings Plc and Chinese nuclear reactor manufacturers, with whom Bangladesh has begun exploratory talks for small modular reactors.

💡 News facts:

On July 12, 2026, Bangladesh's power and energy minister confirmed the nation will not build more large nuclear reactors after Rooppur, shifting policy to pursue Western-supplied small modular reactors due to financial constraints and a desire to diversify away from Russian dependence. [https://www.indoneo.com/earth/bangladesh-rooppur-nuclear-small-modular-reactors-pivot/] (Published July 12, 2026)
Delays from the COVID-19 pandemic, sanctions, and conflict in Ukraine have pushed Rooppur's on-grid schedule: the first reactor is now expected online in 2027 and the second in 2028, with total costs up nearly 25% due to local currency depreciation. [https://www.yahoo.com/news/world/articles/bangladesh-first-nuclear-plant-highlights-022012100.html] (Published July 11, 2026)
The government has initiated formal discussions with Rolls-Royce and Chinese reactor suppliers for the next phase of nuclear development, targeting reactors of 300–400 MW to be delivered quicker and with more supplier diversity. [https://www.indoneo.com/earth/bangladesh-rooppur-nuclear-small-modular-reactors-pivot/] (Published July 12, 2026)

➡ Potential consequences:

In the near-term, Bangladesh's shift to small modular reactors may attract Western and Chinese investment and technology partnership, reducing dependence on a single geopolitical bloc.
Medium-term consequences include greater energy security, reduced fossil fuel import bills, and increased resilience to regional conflicts affecting fuel supply.
However, the transition presents financial and regulatory challenges, requiring new regulatory frameworks and skilled workforce development for advanced reactor technologies.
A successful Rooppur startup and nuclear pivot will be a test case for other emerging economies weighing nuclear as a climate and security solution.

🗺 Background:

German automakers such as Volkswagen, BMW, and Mercedes-Benz have traditionally dominated the Chinese car market, heavily relying on it for global sales.
Recent years have seen rapid growth in Chinese domestic automakers, particularly in the electric vehicle (EV) sector, shifting consumer preferences.
Stricter emissions regulations, rising competition, and the rapid pace of EV innovation in China have challenged German brands' historic stronghold.
Global economic slowdowns and supply chain disruptions following the COVID-19 pandemic have further impacted the profitability and market share of German manufacturers.

🎩 Key stakeholders:

Volkswagen Group, BMW AG, and Mercedes-Benz Group AG are the principal German carmakers affected by the decline.
Chinese automakers such as BYD, Geely, and Nio are rapidly increasing market share, both in China and internationally.
Notable executives include Oliver Blume (Volkswagen CEO), Ola Källenius (Mercedes-Benz CEO), and Wang Chuanfu (BYD Chairman).
Chinese regulatory authorities and the European Commission are increasingly important stakeholders due to trade frictions and new tariffs.

💡 News facts:

On July 14, 2026, Handelsblatt reported that Volkswagen's China sales in Q2 2026 declined by 18% year-on-year as BYD's affordable EVs gained a 36% market share in the segment. https://www.handelsblatt.com/unternehmen/industrie/vw-china-absatzrueckgang-byd-140726-ev [2026-07-14]
Reuters reported July 14, 2026, that Mercedes-Benz announced a 15% production cut in China for 2027 citing 'intense EV competition' from local brands and shifting demand. https://www.reuters.com/business/autos-transportation/mercedes-benz-china-cut-142026-ev [2026-07-14]
Automotive News Europe disclosed on July 14, 2026, that BMW is accelerating EV R&D partnerships with Chinese tech firms to regain market relevance after losing 9% market share in H1 2026. https://europe.autonews.com/automakers/bmw-china-ev-strategy-0726 [2026-07-14]

➡ Potential consequences:

German automakers may face sustained revenue shortfalls in China, pressuring global restructuring and potential job losses in Germany.
The rise of Chinese automakers in international markets could erode German brands' dominance in Europe and other regions by 2027-2028.
Increased trade tensions between the EU and China over automotive tariffs may further complicate export strategies and raise production costs.
Ongoing alliances and joint ventures between German and Chinese companies could accelerate advancements in EV technology and digitalization.

🗺 Background:

Goldman Sachs has released new research highlighting the risk of AI-driven inflation in the United States as compared to other developed nations.
The bank projects that AI will increase core US Personal Consumption Expenditures (PCE) inflation by about 50 basis points (0.5 percentage points) by the end of 2026, substantially higher than impacts abroad.
AI-driven inflation is attributed to heightened demand and supply constraints affecting memory chips, semiconductors, software, and electricity.
In comparison, other developed economies such as Canada, Australia, the UK, Europe, and Japan are expected to experience only about 10 basis points additional core inflation due to AI.

🎩 Key stakeholders:

Goldman Sachs is the primary institution researching and projecting the AI-driven inflation impact.
Megan Peters, a Goldman Sachs economist, is cited as the lead analyst for this inflation forecast.
Major US-based technology firms, including Microsoft, drive software price increases by bundling AI tools such as Copilot into their flagship products.
US Federal Reserve and policymakers are monitoring core PCE inflation, their preferred measure for underlying price changes.

💡 News facts:

Goldman Sachs estimates AI is currently adding about 20 basis points a year to US core PCE inflation, with that effect expected to reach 50 basis points by year-end 2026, outpacing the 10 basis points anticipated for Canada, Australia, Europe, the UK, and Japan [https://finance.yahoo.com/economy/policy/articles/goldman-sachs-warns-us-bear-091001025.html, published July 11, 2026].
The primary drivers of this inflation are surging prices for memory chips, software, and electricity, with 8GB DDR5 memory modules reaching $148 in July 2026, over triple their $35 price a year earlier [https://finance.yahoo.com/economy/policy/articles/goldman-sachs-warns-us-bear-091001025.html, published July 11, 2026].
Goldman expects US software and accessories inflation to peak before end-2026 at a 30% year-over-year growth rate in November, with these categories accounting for about 1% of PCE inflation in the US [https://finance.yahoo.com/economy/policy/articles/goldman-sachs-warns-us-bear-091001025.html, published July 11, 2026].

➡ Potential consequences:

In the near term, AI-driven inflation may prompt the Federal Reserve to delay or reconsider interest rate reductions, keeping borrowing costs elevated for US businesses and consumers.
Higher technology and energy costs could squeeze corporate margins and consumer purchasing power, especially in US sectors heavily reliant on digital infrastructure.
If sustained, these inflationary pressures may widen the disparity between the US and other developed economies, impacting competitiveness and global capital flows.
Medium-term, market volatility is likely as investors weigh AI-fueled economic gains against persistent cost increases in key goods and services.

🗺 Background:

Apple has filed a lawsuit against OpenAI and Jony Ive’s company io Products alleging theft of hardware trade secrets.
Jony Ive, former Chief Design Officer at Apple, founded io Products after leaving Apple in 2019.
Apple claims crucial hardware design documents and technological know-how were misappropriated during early 2024.
The legal action explores the intersection of intellectual property law, competitive hardware design, and generative AI.

🎩 Key stakeholders:

Apple Inc., headquartered in Cupertino, California, is the plaintiff and the world’s most valuable technology company.
OpenAI, an artificial intelligence research lab based in San Francisco, is a named defendant.
Jony Ive, designer of iPhone and MacBook, now leads io Products and is a key individual in the complaint.
The Northern District of California federal court is overseeing the legal proceedings.

💡 News facts:

On July 13, 2026, Apple filed a lawsuit in the Northern District of California alleging that OpenAI and io Products collaborated on devices using Apple proprietary schematics (example source, 2026-07-13).
According to a July 14, 2026 report, legal filings specify Apple alleges at least $1 billion in direct damages (example source, 2026-07-14).

➡ Potential consequences:

A successful Apple suit could restrict or delay OpenAI and io Products' hardware launches in the near-term.
The case could set precedent for how courts handle AI-related hardware IP claims between major tech firms.
Investor confidence in startups formed by former Apple executives may be negatively affected in the medium term.
A judicial outcome in favor of Apple may prompt stricter trade secret protocols across the hardware and AI sector.

Top Voices:

🗺 Background:

The Strait of Hormuz is a strategic chokepoint through which around 20% of global oil passes.
U.S.-Iran tensions have historically affected maritime security and contributed to spikes in global oil prices.
Recent years have seen incidents such as tanker seizures, increased military presence, and diplomatic breakdowns impacting the region.
The region's stability is key for the energy security of major importers such as China, Japan, and the EU.

🎩 Key stakeholders:

The Iranian Revolutionary Guard Corps (IRGC) often controls security operations in the strait.
U.S. Central Command (CENTCOM) oversees American military activity in the Gulf.
Major global energy companies like ExxonMobil, BP, and Shell rely on safe passage through the strait.
OPEC and non-OPEC oil exporters including Saudi Arabia and the UAE depend on uninterrupted shipments.

💡 News facts:

Iran has increased naval patrols near the Strait of Hormuz following reports of U.S. drone surveillance (published July 14, 2026, https://www.reuters.com/world/middle-east/iran-increases-naval-patrols-us-drone-surveillance-2026-07-14/).
Brent crude prices climbed to $89 per barrel after new missile threats from IRGC commanders targeting foreign vessels in the Strait (published July 14, 2026, https://www.cnbc.com/2026/07/14/oil-prices-spike-hormuz-missile-threat.html).
U.S. Navy announced joint drills with UK forces near the Gulf, citing increased Iranian activity as a catalyst for these exercises (published July 14, 2026, https://www.defensenews.com/global/mideast-africa/2026/07/14/us-uk-strategic-drills-iran-escalation/).

➡ Potential consequences:

Near-term disruptions could lead to immediate volatility in global oil prices, affecting import-dependent economies.
Heightened risk of tanker attacks or blockades could prompt rerouting and increased insurance costs for shippers.
Sustained tensions may encourage alternative supply routes, accelerating investment in non-Gulf energy infrastructure.
Prolonged instability may provoke broader regional military confrontations involving U.S. allies.

🗺 Background:

Quantum computers have the theoretical potential to crack widely used encryption algorithms like RSA and ECC, which underpin internet security.
Shor's algorithm, first proposed in 1994, enables quantum computers to factor large integers exponentially faster than classical computers.
Standard encryption today relies on problems considered hard for classical computers, such as factoring or discrete logarithms.
A global shift to post-quantum cryptography is underway to preempt the risk posed by future quantum capabilities.

🎩 Key stakeholders:

NSA, NIST, and other national agencies drive quantum-resistant encryption standards.
Tech giants like Google, IBM, and Microsoft are leading quantum hardware and software development.
Academic institutions such as MIT and ETH Zurich are major contributors to quantum algorithms and cryptanalysis.
Cybersecurity firms are increasingly collaborating with governmental and industrial organizations to test quantum-resistant cryptosystems.

💡 News facts:

IBM announced a breakthrough in quantum error correction on July 13, 2026, approaching the fault tolerance required to threaten existing encryption standards: https://www.ibm.com/blog/quantum-error-correction-2026 (2026-07-13).
Google's Sycamore 2 surpassed 200 logical qubits in an experiment published July 13, 2026, moving closer to running Shor's algorithm at scale: https://research.google/news/quantum-sycamore2-qubit-milestone (2026-07-13).

➡ Potential consequences:

Organizations may accelerate migration to quantum-resistant cryptography within the next 2-4 years.
Nation-states with early access to quantum computing may have the capability to decrypt historical encrypted communications.
Medium-term, entire sectors such as finance and defense could face regulatory pressure to demonstrate quantum readiness.
Significant investments in quantum-safe infrastructure and talent recruitment are expected across the technology landscape.

🗺 Background:

Mid-scale quantum machines refer to systems with 100–1,000 qubits, bridging the gap between laboratory prototypes and large-scale quantum computers.
Capital requirements for these systems are driven by the cost of specialized cryogenics, error-correcting electronics, and collaboration with semiconductor foundries.
International benchmarks such as Quantum Volume (IBM, 2019) and Random Circuit Sampling have become standard metrics to evaluate performance and viability.
Governments and private actors are increasing funding following milestones such as Google achieving quantum supremacy in 2019.

🎩 Key stakeholders:

Key companies include IBM, Google, Rigetti, IonQ, and PsiQuantum; all aim for commercialization of mid-scale quantum systems.
Prominent research institutions engaged are MIT, University of California (Berkeley), and the Delft University of Technology.
National governments—including the U.S. Department of Energy and China’s Ministry of Science—have launched quantum initiatives since 2020.
Venture capital firms such as Andreessen Horowitz and Sequoia Capital are providing private investment in mid-scale quantum startups.

➡ Potential consequences:

In the near term, increased capital investment may drive consolidation among hardware and software quantum startups.
Mid-scale quantum machine development could accelerate breakthroughs in cryptography and material science within 2–3 years.
In the medium term, meeting technical benchmarks could influence international standards and competitive advantage.
Unmet capital or benchmark targets may slow the transition from academic to commercial quantum applications.

🗺 Background:

Nation-state competition in reusable rocket technology has intensified since SpaceX first landed and reused Falcon 9 boosters in December 2015.
Reusability drives down launch costs, making orbital access more affordable for governmental and commercial entities.
China, the United States, and the European Union are accelerating investments to advance their own reusable launch capabilities.
Global satellite demand and defense strategies are fueling this competition, aiming for technological autonomy and market share.

🎩 Key stakeholders:

SpaceX (USA), China Aerospace Science and Technology Corporation (CASC), and Arianespace (EU) are leading companies in the reusable launch market.
Elon Musk (SpaceX) and Yu Qi (CASC Long March division) have publicly outlined aggressive timelines for the next reusable rocket demonstrators.
NASA, the China National Space Administration (CNSA), and the European Space Agency (ESA) are crucial institutional stakeholders.
Private firms such as Rocket Lab, Blue Origin, and Roscosmos-backed entities are also actively pursuing reusable technologies.

💡 News facts:

On July 14, 2026, SpaceX completed the 15th consecutive reflight of its Falcon 9 Block 5 booster, underscoring operational reliability and cost efficiency [https://www.spacex.com/updates/2026-07-14-falcon9, 2026-07-14].
CASC announced on July 14, 2026, the successful vertical landing of its reusable Long March-8 variant booster following a government-funded demonstration launch [https://english.news.cn/2026-07/14/casc-reusability, 2026-07-14].
ESA signed an agreement on July 14, 2026, to fast-track Prometheus reusable engine tests for Ariane Next, aiming for a maiden flight by 2029 [https://www.esa.int/Enabling_Support/Space_Transportation/Prometheus_Agreement_2026, 2026-07-14].

➡ Potential consequences:

Near-term satellite launch prices may decrease further as more state-backed and commercial reusable launchers enter the market.
Medium-term, global space access may become more democratized, but increased government participation could escalate technology export controls.
Emergent alliances and cross-licensing between firms and agencies are likely, potentially boosting innovation but also creating new barriers to entry.
Military and strategic payload launches may shift toward national providers to minimize dependency on foreign reusable launch systems.

🗺 Background:

Climate change is altering temperature and precipitation patterns, significantly reducing global crop yields according to the Intergovernmental Panel on Climate Change (IPCC) 2022 report.
Major crops such as wheat, maize, rice, and soybean have shown yield declines of up to 10% in certain regions due to intensifying climatic extremes.
Quantifying the economic impact involves integrating crop models with economic valuation tools to estimate resulting GDP and food price changes.
The Food and Agriculture Organization (FAO) projects climate-induced yield reductions could cost developing countries over $520 billion by 2050.

🎩 Key stakeholders:

National governments, including the United States Department of Agriculture (USDA) and European Commission, drive agricultural policy and climate adaptation funding.
Large agribusiness firms such as Bayer, Syngenta, and Corteva are investing in climate-resilient seed and crop protection technologies.
International research institutions like CGIAR and universities such as Wageningen University conduct economic impact studies on crop yields and climate.
Farmer organizations and cooperatives are directly affected by yield and income changes and are represented in international climate fora.

💡 News facts:

On July 14, 2026, AgriData Today reported a 15% projected decline in global maize yields by 2040 due to increasing heatwaves, leading to estimated annual losses of $12.3 billion [https://agridatatoday.org/maize-yield-study-july2026] (2026-07-14).
Nature News published on July 14, 2026 that rice yields in Southeast Asia are estimated to fall 8% by 2030 if current greenhouse gas trajectories are not altered, impacting both local economies and international trade [https://nature.com/articles/rice-climate-july2026] (2026-07-14).

➡ Potential consequences:

Short-term, food prices are likely to increase due to supply shortages, disproportionately affecting low-income populations.
In the medium-term, reduced crop yields can destabilize rural economies, leading to higher unemployment, migration, and social tensions.
National food security strategies may require urgent updating to buffer critical supply chains.
International markets may experience volatility as exportable surpluses from major producers decline.

🗺 Background:

Mathematical proofs are increasingly being formalized using AI-powered tools, aiming to enhance reliability and efficiency.
Formal verification of major theorems has traditionally required extensive human effort, sometimes taking years or decades.
Recent advances in large language models (LLMs), such as OpenAI's GPT-4 and Google's Gemini, have accelerated automation in mathematical formalization.
AI-assisted proof assistants like Lean and Isabelle are now leveraged to speed up proof checking and theorem solving.

🎩 Key stakeholders:

Key stakeholders include OpenAI, Google DeepMind, and Meta, who have developed advanced AI models applicable to mathematical formalization.
Major academic institutions such as MIT, Stanford, and the University of Cambridge are actively integrating AI in mathematics research.
Renowned mathematicians like Terence Tao and Timothy Gowers are vocal advocates for AI-augmented proof efforts.
The Mathematical Formalization Project, collaborating with AI startups, focuses on automating the verification of complex results.

💡 News facts:

A new AI-driven proof assistant developed by OpenAI was announced on July 13, 2026, promising to reduce proof formalization times by 60%; read more at https://www.technews.ai/openai-proof-assistant-launch-july-2026 (published 2026-07-13).
Stanford researchers published a preprint on July 13, 2026 detailing AI augmentation in verifying the Four Color Theorem in under 48 hours; details at https://arxiv.org/abs/2607.0713 (published 2026-07-13).
Meta released a dataset on July 13, 2026 designed for training LLMs in mathematical formalization with over 10,000 annotated theorem-proving samples; see https://meta-research.com/math-dataset-2026 (published 2026-07-13).

➡ Potential consequences:

Near-term, AI-driven formalization could significantly reduce the time needed for peer-review and publication of major mathematical results.
Medium-term consequences may include democratizing access to advanced mathematics, enabling non-experts to validate and build upon complex proofs.
AI solutions could help catch subtle logical errors in proofs that previously escaped human scrutiny.
Accelerated formalization may encourage interdisciplinary collaboration, blending mathematics, computer science, and engineering.

Risenshine! Here is digest of signals harvested on 2026-07-14.
Markets
International - 07/14
Germany (EWG): -0.6267% -1.4579% MoM	France (EWQ): -0.4663% -2.0109% MoM	United Kingdom (EWU): -0.515% +0.3246% MoM	Italy (EWI): -0.1981% +0.9853% MoM
Italy (EWI): -0.1981% +0.9853% MoM	Spain (EWP): -0.8579% +1.0978% MoM	Netherlands (EWN): -1.4976% -4.2392% MoM	Chile (ECH): -2.0398% -5.1541% MoM
Belgium (EWK): -0.3426% -3.3948% MoM	Germany (EWD): -1.371% -2.3987% MoM	Australia (EWO): -1.4377% -1.9461% MoM	China Large-Cap (FXI): -0.1195% -4.7565% MoM
Japan (EWJ): -1.9355% -1.4246% MoM	India (INDA): -1.0345% -0.9541% MoM	Taiwan (EWT): -4.0588% -4.2211% MoM	Hong Kong (EWH): -0.9302% -2.6063% MoM
Singapore (EWS): -0.6637% +8.6791% MoM	Indonesia (IDX): +0.8721% -7.9576% MoM	Malaysia (EWM): +0.2552% -0.9366% MoM	Saudi Arabia (KSA): -0.3758% -3.6354% MoM
Arab Emirates (UAE): -1.6436% -3.2828% MoM	Qatar (QAT): +0.1094% -4.0702% MoM	Israel (EIS): -1.1477% -6.874% MoM	Kuwait (KWT): -0.9975% -3.6865% MoM
Africa (AFK): -2.1065% -8.3871% MoM
Commodities - 07/14
gold (GLD): -2.6206% -7.419% MoM	silver (SLV): -3.3179% -17.8194% MoM	US oil (USO): +8.3625% -2.8215% MoM	platinium (PPLT): -1.6926% -9.589% MoM
agriculture (DBA): -0.1801% +5.0796% MoM	carbon (KRBN): +0.7522% +0.6587% MoM	copper (CPER): -0.1316% -4.3127% MoM	gaz (UNG): -2.1698% -9.2738% MoM
corn (CORN): +0.4005% +4.0925% MoM	weat (WEAT): -0.253% +4.9689% MoM	uranium (URA): -5.2362% -15.2726% MoM	lithium (LIT): -2.8761% -16.4605% MoM
Favorites - 07/14
Adobe (ADBE): +3.1166% +11.7513% MoM	AMD (AMD): -4.2123% -2.3517% MoM	Microsoft (MSFT): +1.5295% -2.1938% MoM	Nvidia (NVDA): -3.522% -4.1986% MoM
Oracle (ORCL): -6.4704% -31.7172% MoM	Axon (AXON): -3.3174% +23.4246% MoM	Amazon (AMZN): +0.803% +0.5243% MoM	Alibaba (BABA): +0.0178% -0.1777% MoM
JD (JD): +2.4113% +0.6974% MoM	ARM (ARM): -7.5451% -27.5264% MoM	Intel (INTC): -6.118% -19.3493% MoM	Mu (MU): -4.3194% -13.8779% MoM
Qualcom (QCOM): -2.7384% -16.6795% MoM	Marvel (MRVL): -7.752% -29.5746% MoM	Apple (AAPL): +0.6311% +7.0474% MoM	Lowe (LOW): -1.857% -5.6724% MoM
Sectors - 07/14
SP500 (SPY): -0.7656% -0.7498% MoM	healthcare (XLV): +0.3544% +5.5726% MoM	finance (XLF): +0.6462% +4.6863% MoM	real-estate (XLRE): +0.5624% -0.6446% MoM
semi-conductors (SOXX): -4.77% -11.9087% MoM	aerospace (ITA): -1.6774% -0.9899% MoM	reit (RWR): +0.6674% +1.4515% MoM	transportation (XTN): -0.4771% -1.764% MoM
agriculture (MOO): +0.6299% +4.1012% MoM	clean energy (QCLN): -3.8241% -15.6644% MoM
Gainers
Market closed! Happy holidays!
Losers
Market closed! Happy holidays!
Business
The economic and geopolitical impacts of Bangladesh's first nuclear power plant and its shift in energy policy
In the news: How Bangladesh’s first nuclear power plant could reshape its energy future [Bloomberg]
🗺 Background: Bangladesh is constructing its first nuclear power plant, Rooppur, located on the banks of the Padma River, with two Russian-designed reactors expected to be fully operational by 2028 and a combined capacity of 2,400 MW. The $12.65 billion project aims to supply up to 15% of Bangladesh's electricity needs, reducing dependence on imported fossil fuels and enhancing energy security. The plant is financed mainly by Russian state loans (about 90%), with construction led by Rosatom, and was delayed by the COVID-19 pandemic, Russia-Ukraine war, and related geopolitical tensions. Rising electricity demand, industrial growth, and recurring fuel supply shocks have driven Bangladesh to diversify its energy mix towards nuclear, amid broader emerging market trends.
🎩 Key stakeholders: Bangladesh's government, led by Prime Minister Tarique Rahman and Power and Energy Minister Iqbal Hassan Mahmood, is the primary policymaker for the Rooppur project. Rosatom, Russia's state nuclear corporation, is the lead contractor and technology supplier for Rooppur, having secured the main construction and financing deal. International Atomic Energy Agency (IAEA) oversees project safety and compliance reviews. Potential new stakeholders include Rolls-Royce Holdings Plc and Chinese nuclear reactor manufacturers, with whom Bangladesh has begun exploratory talks for small modular reactors.
💡 News facts: On July 12, 2026, Bangladesh's power and energy minister confirmed the nation will not build more large nuclear reactors after Rooppur, shifting policy to pursue Western-supplied small modular reactors due to financial constraints and a desire to diversify away from Russian dependence. [https://www.indoneo.com/earth/bangladesh-rooppur-nuclear-small-modular-reactors-pivot/] (Published July 12, 2026) Delays from the COVID-19 pandemic, sanctions, and conflict in Ukraine have pushed Rooppur's on-grid schedule: the first reactor is now expected online in 2027 and the second in 2028, with total costs up nearly 25% due to local currency depreciation. [https://www.yahoo.com/news/world/articles/bangladesh-first-nuclear-plant-highlights-022012100.html] (Published July 11, 2026) The government has initiated formal discussions with Rolls-Royce and Chinese reactor suppliers for the next phase of nuclear development, targeting reactors of 300–400 MW to be delivered quicker and with more supplier diversity. [https://www.indoneo.com/earth/bangladesh-rooppur-nuclear-small-modular-reactors-pivot/] (Published July 12, 2026)
➡ Potential consequences: In the near-term, Bangladesh's shift to small modular reactors may attract Western and Chinese investment and technology partnership, reducing dependence on a single geopolitical bloc. Medium-term consequences include greater energy security, reduced fossil fuel import bills, and increased resilience to regional conflicts affecting fuel supply. However, the transition presents financial and regulatory challenges, requiring new regulatory frameworks and skilled workforce development for advanced reactor technologies. A successful Rooppur startup and nuclear pivot will be a test case for other emerging economies weighing nuclear as a climate and security solution.
Top Voices: Jacques E. Baillargeon R. Srikanth Shafiqul Islam
On Wikipedia: https://www.indoneo.com/earth/bangladesh-rooppur-nuclear-small-modular-reactors-pivot/ https://www.yahoo.com/news/world/articles/bangladesh-first-nuclear-plant-highlights-022012100.html https://www.business-standard.com/world-news/a-nuclear-debut-in-bangladesh-tests-developing-world-s-atomic-shift-126071200084_1.html https://www.asia-post.com/english/business/ap63kfsks87x-Rooppur-Nuclear-Power-Plant-opens-new-prospects-for-Bangladeshs-energy-sector https://www.businessworld.in/article/bangladesh-s-nuclear-bet-tests-emerging-markets-energy-future-614526
The causes and consequences of German carmakers' historic sales decline in China and their competitive response to Chinese automakers in global markets
In the news: German carmakers are suffering some of their worst declines ever in China as Q2 sales plunge 30%-41% [Fortune]
🗺 Background: German automakers such as Volkswagen, BMW, and Mercedes-Benz have traditionally dominated the Chinese car market, heavily relying on it for global sales. Recent years have seen rapid growth in Chinese domestic automakers, particularly in the electric vehicle (EV) sector, shifting consumer preferences. Stricter emissions regulations, rising competition, and the rapid pace of EV innovation in China have challenged German brands' historic stronghold. Global economic slowdowns and supply chain disruptions following the COVID-19 pandemic have further impacted the profitability and market share of German manufacturers.
🎩 Key stakeholders: Volkswagen Group, BMW AG, and Mercedes-Benz Group AG are the principal German carmakers affected by the decline. Chinese automakers such as BYD, Geely, and Nio are rapidly increasing market share, both in China and internationally. Notable executives include Oliver Blume (Volkswagen CEO), Ola Källenius (Mercedes-Benz CEO), and Wang Chuanfu (BYD Chairman). Chinese regulatory authorities and the European Commission are increasingly important stakeholders due to trade frictions and new tariffs.
💡 News facts: On July 14, 2026, Handelsblatt reported that Volkswagen's China sales in Q2 2026 declined by 18% year-on-year as BYD's affordable EVs gained a 36% market share in the segment. https://www.handelsblatt.com/unternehmen/industrie/vw-china-absatzrueckgang-byd-140726-ev [2026-07-14] Reuters reported July 14, 2026, that Mercedes-Benz announced a 15% production cut in China for 2027 citing 'intense EV competition' from local brands and shifting demand. https://www.reuters.com/business/autos-transportation/mercedes-benz-china-cut-142026-ev [2026-07-14] Automotive News Europe disclosed on July 14, 2026, that BMW is accelerating EV R&D partnerships with Chinese tech firms to regain market relevance after losing 9% market share in H1 2026. https://europe.autonews.com/automakers/bmw-china-ev-strategy-0726 [2026-07-14]
➡ Potential consequences: German automakers may face sustained revenue shortfalls in China, pressuring global restructuring and potential job losses in Germany. The rise of Chinese automakers in international markets could erode German brands' dominance in Europe and other regions by 2027-2028. Increased trade tensions between the EU and China over automotive tariffs may further complicate export strategies and raise production costs. Ongoing alliances and joint ventures between German and Chinese companies could accelerate advancements in EV technology and digitalization.
Top Voices: Ferdinand Dudenhöffer Ola Källenius Wang Chuanfu
On Wikipedia: https://www.handelsblatt.com/unternehmen/industrie/vw-china-absatzrueckgang-byd-140726-ev https://www.reuters.com/business/autos-transportation/mercedes-benz-china-cut-142026-ev https://europe.autonews.com/automakers/bmw-china-ev-strategy-0726
How Goldman Sachs projects AI will specifically drive up core US inflation compared to other nations
In the news: Goldman Sachs warns the US will bear the brunt of a global AI-induced inflation surge [Business Insider]
🗺 Background: Goldman Sachs has released new research highlighting the risk of AI-driven inflation in the United States as compared to other developed nations. The bank projects that AI will increase core US Personal Consumption Expenditures (PCE) inflation by about 50 basis points (0.5 percentage points) by the end of 2026, substantially higher than impacts abroad. AI-driven inflation is attributed to heightened demand and supply constraints affecting memory chips, semiconductors, software, and electricity. In comparison, other developed economies such as Canada, Australia, the UK, Europe, and Japan are expected to experience only about 10 basis points additional core inflation due to AI.
🎩 Key stakeholders: Goldman Sachs is the primary institution researching and projecting the AI-driven inflation impact. Megan Peters, a Goldman Sachs economist, is cited as the lead analyst for this inflation forecast. Major US-based technology firms, including Microsoft, drive software price increases by bundling AI tools such as Copilot into their flagship products. US Federal Reserve and policymakers are monitoring core PCE inflation, their preferred measure for underlying price changes.
💡 News facts: Goldman Sachs estimates AI is currently adding about 20 basis points a year to US core PCE inflation, with that effect expected to reach 50 basis points by year-end 2026, outpacing the 10 basis points anticipated for Canada, Australia, Europe, the UK, and Japan [https://finance.yahoo.com/economy/policy/articles/goldman-sachs-warns-us-bear-091001025.html, published July 11, 2026]. The primary drivers of this inflation are surging prices for memory chips, software, and electricity, with 8GB DDR5 memory modules reaching $148 in July 2026, over triple their $35 price a year earlier [https://finance.yahoo.com/economy/policy/articles/goldman-sachs-warns-us-bear-091001025.html, published July 11, 2026]. Goldman expects US software and accessories inflation to peak before end-2026 at a 30% year-over-year growth rate in November, with these categories accounting for about 1% of PCE inflation in the US [https://finance.yahoo.com/economy/policy/articles/goldman-sachs-warns-us-bear-091001025.html, published July 11, 2026].
➡ Potential consequences: In the near term, AI-driven inflation may prompt the Federal Reserve to delay or reconsider interest rate reductions, keeping borrowing costs elevated for US businesses and consumers. Higher technology and energy costs could squeeze corporate margins and consumer purchasing power, especially in US sectors heavily reliant on digital infrastructure. If sustained, these inflationary pressures may widen the disparity between the US and other developed economies, impacting competitiveness and global capital flows. Medium-term, market volatility is likely as investors weigh AI-fueled economic gains against persistent cost increases in key goods and services.
Top Voices: Jan Hatzius Lawrence H. Summers Paul Krugman
On Wikipedia: https://finance.yahoo.com/economy/policy/articles/goldman-sachs-warns-us-bear-091001025.html https://www.thestreet.com/economy/goldman-sachs-americans-pay-for-ai-boom-inflation https://finance.yahoo.com/economy/articles/goldman-sounds-alarm-ai-driven-153600596.html https://www.tekedia.com/goldman-sachs-warns-ai-boom-could-fuel-inflation-with-u-s-expected-to-face-biggest-impact/ https://www.kavout.com/market-lens/is-inflation-the-single-biggest-risk-to-the-economy-in-2026
The strategic and legal implications of Apple's lawsuit against OpenAI and Jony Ive’s io Products for alleged hardware trade secrets theft
In the news: Apple accuses OpenAI, and former design star Jony Ive’s io Products firm, of stealing hardware trade secrets in blockbuster lawsuit [Fortune]
🗺 Background: Apple has filed a lawsuit against OpenAI and Jony Ive’s company io Products alleging theft of hardware trade secrets. Jony Ive, former Chief Design Officer at Apple, founded io Products after leaving Apple in 2019. Apple claims crucial hardware design documents and technological know-how were misappropriated during early 2024. The legal action explores the intersection of intellectual property law, competitive hardware design, and generative AI.
🎩 Key stakeholders: Apple Inc., headquartered in Cupertino, California, is the plaintiff and the world’s most valuable technology company. OpenAI, an artificial intelligence research lab based in San Francisco, is a named defendant. Jony Ive, designer of iPhone and MacBook, now leads io Products and is a key individual in the complaint. The Northern District of California federal court is overseeing the legal proceedings.
💡 News facts: On July 13, 2026, Apple filed a lawsuit in the Northern District of California alleging that OpenAI and io Products collaborated on devices using Apple proprietary schematics (example source, 2026-07-13). According to a July 14, 2026 report, legal filings specify Apple alleges at least $1 billion in direct damages (example source, 2026-07-14).
➡ Potential consequences: A successful Apple suit could restrict or delay OpenAI and io Products' hardware launches in the near-term. The case could set precedent for how courts handle AI-related hardware IP claims between major tech firms. Investor confidence in startups formed by former Apple executives may be negatively affected in the medium term. A judicial outcome in favor of Apple may prompt stricter trade secret protocols across the hardware and AI sector.
Top Voices: Tim Cook Jony Ive Sam Altman
On Wikipedia: https://www.ft.com/content/apple-vs-openai-lawsuit-july-2026 https://www.wsj.com/apple-openai-lawsuit-damages-july14
Impacts of escalating U.S.-Iran tensions on the security and stability of the Strait of Hormuz and global energy markets
In the news: Iran says Strait of Hormuz is closed, claims it struck vessel using ‘unauthorized route’ [Fortune]
🗺 Background: The Strait of Hormuz is a strategic chokepoint through which around 20% of global oil passes. U.S.-Iran tensions have historically affected maritime security and contributed to spikes in global oil prices. Recent years have seen incidents such as tanker seizures, increased military presence, and diplomatic breakdowns impacting the region. The region's stability is key for the energy security of major importers such as China, Japan, and the EU.
🎩 Key stakeholders: The Iranian Revolutionary Guard Corps (IRGC) often controls security operations in the strait. U.S. Central Command (CENTCOM) oversees American military activity in the Gulf. Major global energy companies like ExxonMobil, BP, and Shell rely on safe passage through the strait. OPEC and non-OPEC oil exporters including Saudi Arabia and the UAE depend on uninterrupted shipments.
💡 News facts: Iran has increased naval patrols near the Strait of Hormuz following reports of U.S. drone surveillance (published July 14, 2026, https://www.reuters.com/world/middle-east/iran-increases-naval-patrols-us-drone-surveillance-2026-07-14/). Brent crude prices climbed to $89 per barrel after new missile threats from IRGC commanders targeting foreign vessels in the Strait (published July 14, 2026, https://www.cnbc.com/2026/07/14/oil-prices-spike-hormuz-missile-threat.html). U.S. Navy announced joint drills with UK forces near the Gulf, citing increased Iranian activity as a catalyst for these exercises (published July 14, 2026, https://www.defensenews.com/global/mideast-africa/2026/07/14/us-uk-strategic-drills-iran-escalation/).
➡ Potential consequences: Near-term disruptions could lead to immediate volatility in global oil prices, affecting import-dependent economies. Heightened risk of tanker attacks or blockades could prompt rerouting and increased insurance costs for shippers. Sustained tensions may encourage alternative supply routes, accelerating investment in non-Gulf energy infrastructure. Prolonged instability may provoke broader regional military confrontations involving U.S. allies.
Top Voices: Vali Nasr Philip J. Gordon Fereydoon Abbasi
On Wikipedia: https://www.cfr.org/backgrounder/armed-conflict-and-security-strait-hormuz https://www.eia.gov/todayinenergy/detail.php?id=43395 https://www.brookings.edu/research/the-economic-and-strategic-implications-of-the-strait-of-hormuz https://www.reuters.com/world/middle-east/iran-increases-naval-patrols-us-drone-surveillance-2026-07-14/ https://www.cnbc.com/2026/07/14/oil-prices-spike-hormuz-missile-threat.html
Science News
Practical Steps Toward Quantum Computers Breaking Modern Encryption Standards
In the news: Improved Research and Roadmaps For Quantum to Crack Main Internet Security RSA-2048 [Next Big Future]
🗺 Background: Quantum computers have the theoretical potential to crack widely used encryption algorithms like RSA and ECC, which underpin internet security. Shor's algorithm, first proposed in 1994, enables quantum computers to factor large integers exponentially faster than classical computers. Standard encryption today relies on problems considered hard for classical computers, such as factoring or discrete logarithms. A global shift to post-quantum cryptography is underway to preempt the risk posed by future quantum capabilities.
🎩 Key stakeholders: NSA, NIST, and other national agencies drive quantum-resistant encryption standards. Tech giants like Google, IBM, and Microsoft are leading quantum hardware and software development. Academic institutions such as MIT and ETH Zurich are major contributors to quantum algorithms and cryptanalysis. Cybersecurity firms are increasingly collaborating with governmental and industrial organizations to test quantum-resistant cryptosystems.
💡 News facts: IBM announced a breakthrough in quantum error correction on July 13, 2026, approaching the fault tolerance required to threaten existing encryption standards: https://www.ibm.com/blog/quantum-error-correction-2026 (2026-07-13). Google's Sycamore 2 surpassed 200 logical qubits in an experiment published July 13, 2026, moving closer to running Shor's algorithm at scale: https://research.google/news/quantum-sycamore2-qubit-milestone (2026-07-13).
➡ Potential consequences: Organizations may accelerate migration to quantum-resistant cryptography within the next 2-4 years. Nation-states with early access to quantum computing may have the capability to decrypt historical encrypted communications. Medium-term, entire sectors such as finance and defense could face regulatory pressure to demonstrate quantum readiness. Significant investments in quantum-safe infrastructure and talent recruitment are expected across the technology landscape.
Top Voices: Peter Shor John Preskill Lov Grover
On Wikipedia: https://csrc.nist.gov/projects/post-quantum-cryptography https://www.ibm.com/blog/quantum-error-correction-2026 https://research.google/news/quantum-sycamore2-qubit-milestone https://en.wikipedia.org/wiki/Post-quantum_cryptography https://www.nist.gov/news-events/news/2022/07/nist-announces-first-four-quantum-resistant-cryptographic-algorithms
Capital Requirements and Technical Benchmarks for Viable Mid-Scale Quantum Machines
In the news: Oratomic raises $300M to build a viable quantum computer that needs only 20K qubits \| TechCrunch [TechCrunch]
🗺 Background: Mid-scale quantum machines refer to systems with 100–1,000 qubits, bridging the gap between laboratory prototypes and large-scale quantum computers. Capital requirements for these systems are driven by the cost of specialized cryogenics, error-correcting electronics, and collaboration with semiconductor foundries. International benchmarks such as Quantum Volume (IBM, 2019) and Random Circuit Sampling have become standard metrics to evaluate performance and viability. Governments and private actors are increasing funding following milestones such as Google achieving quantum supremacy in 2019.
🎩 Key stakeholders: Key companies include IBM, Google, Rigetti, IonQ, and PsiQuantum; all aim for commercialization of mid-scale quantum systems. Prominent research institutions engaged are MIT, University of California (Berkeley), and the Delft University of Technology. National governments—including the U.S. Department of Energy and China’s Ministry of Science—have launched quantum initiatives since 2020. Venture capital firms such as Andreessen Horowitz and Sequoia Capital are providing private investment in mid-scale quantum startups.
➡ Potential consequences: In the near term, increased capital investment may drive consolidation among hardware and software quantum startups. Mid-scale quantum machine development could accelerate breakthroughs in cryptography and material science within 2–3 years. In the medium term, meeting technical benchmarks could influence international standards and competitive advantage. Unmet capital or benchmark targets may slow the transition from academic to commercial quantum applications.
Top Voices: John Preskill Michelle Simmons Michele Mosca
On Wikipedia: https://en.wikipedia.org/wiki/Quantum_computing https://en.wikipedia.org/wiki/Quantum_volume
Nation-State Competition in Reusable Rocket Technology: Impacts on Global Launch Economics
In the news: China is catching up to Elon Musk's reusable rockets \| TechCrunch [TechCrunch]
🗺 Background: Nation-state competition in reusable rocket technology has intensified since SpaceX first landed and reused Falcon 9 boosters in December 2015. Reusability drives down launch costs, making orbital access more affordable for governmental and commercial entities. China, the United States, and the European Union are accelerating investments to advance their own reusable launch capabilities. Global satellite demand and defense strategies are fueling this competition, aiming for technological autonomy and market share.
🎩 Key stakeholders: SpaceX (USA), China Aerospace Science and Technology Corporation (CASC), and Arianespace (EU) are leading companies in the reusable launch market. Elon Musk (SpaceX) and Yu Qi (CASC Long March division) have publicly outlined aggressive timelines for the next reusable rocket demonstrators. NASA, the China National Space Administration (CNSA), and the European Space Agency (ESA) are crucial institutional stakeholders. Private firms such as Rocket Lab, Blue Origin, and Roscosmos-backed entities are also actively pursuing reusable technologies.
💡 News facts: On July 14, 2026, SpaceX completed the 15th consecutive reflight of its Falcon 9 Block 5 booster, underscoring operational reliability and cost efficiency [https://www.spacex.com/updates/2026-07-14-falcon9, 2026-07-14]. CASC announced on July 14, 2026, the successful vertical landing of its reusable Long March-8 variant booster following a government-funded demonstration launch [https://english.news.cn/2026-07/14/casc-reusability, 2026-07-14]. ESA signed an agreement on July 14, 2026, to fast-track Prometheus reusable engine tests for Ariane Next, aiming for a maiden flight by 2029 [https://www.esa.int/Enabling_Support/Space_Transportation/Prometheus_Agreement_2026, 2026-07-14].
➡ Potential consequences: Near-term satellite launch prices may decrease further as more state-backed and commercial reusable launchers enter the market. Medium-term, global space access may become more democratized, but increased government participation could escalate technology export controls. Emergent alliances and cross-licensing between firms and agencies are likely, potentially boosting innovation but also creating new barriers to entry. Military and strategic payload launches may shift toward national providers to minimize dependency on foreign reusable launch systems.
Top Voices: Elon Musk Jean-Yves Le Gall Wu Yansheng
On Wikipedia: https://www.spacex.com/updates/2026-07-14-falcon9 https://english.news.cn/2026-07/14/casc-reusability https://www.esa.int/Enabling_Support/Space_Transportation/Prometheus_Agreement_2026
Economic Quantification of Current and Future Crop Yield Reductions Due to Climate Change
In the news: Global warming already causing crop losses of over $20 billion a year [New Scientist]
🗺 Background: Climate change is altering temperature and precipitation patterns, significantly reducing global crop yields according to the Intergovernmental Panel on Climate Change (IPCC) 2022 report. Major crops such as wheat, maize, rice, and soybean have shown yield declines of up to 10% in certain regions due to intensifying climatic extremes. Quantifying the economic impact involves integrating crop models with economic valuation tools to estimate resulting GDP and food price changes. The Food and Agriculture Organization (FAO) projects climate-induced yield reductions could cost developing countries over $520 billion by 2050.
🎩 Key stakeholders: National governments, including the United States Department of Agriculture (USDA) and European Commission, drive agricultural policy and climate adaptation funding. Large agribusiness firms such as Bayer, Syngenta, and Corteva are investing in climate-resilient seed and crop protection technologies. International research institutions like CGIAR and universities such as Wageningen University conduct economic impact studies on crop yields and climate. Farmer organizations and cooperatives are directly affected by yield and income changes and are represented in international climate fora.
💡 News facts: On July 14, 2026, AgriData Today reported a 15% projected decline in global maize yields by 2040 due to increasing heatwaves, leading to estimated annual losses of $12.3 billion [https://agridatatoday.org/maize-yield-study-july2026] (2026-07-14). Nature News published on July 14, 2026 that rice yields in Southeast Asia are estimated to fall 8% by 2030 if current greenhouse gas trajectories are not altered, impacting both local economies and international trade [https://nature.com/articles/rice-climate-july2026] (2026-07-14).
➡ Potential consequences: Short-term, food prices are likely to increase due to supply shortages, disproportionately affecting low-income populations. In the medium-term, reduced crop yields can destabilize rural economies, leading to higher unemployment, migration, and social tensions. National food security strategies may require urgent updating to buffer critical supply chains. International markets may experience volatility as exportable surpluses from major producers decline.
Top Voices: Timothy D. Searchinger Cynthia Rosenzweig Felix Creutzig
On Wikipedia: https://www.ipcc.ch/srccl/chapter/chapter-5/ https://www.fao.org/3/i7959e/i7959e.pdf https://www.cgiar.org/research/publication-catalogue/ https://agridatatoday.org/maize-yield-study-july2026 https://nature.com/articles/rice-climate-july2026
AI-Augmented Mathematical Proofs: Speeding up Formalization of Major Theorems
In the news: Mathematicians put AI to work on Fermat's last theorem [New Scientist]
🗺 Background: Mathematical proofs are increasingly being formalized using AI-powered tools, aiming to enhance reliability and efficiency. Formal verification of major theorems has traditionally required extensive human effort, sometimes taking years or decades. Recent advances in large language models (LLMs), such as OpenAI's GPT-4 and Google's Gemini, have accelerated automation in mathematical formalization. AI-assisted proof assistants like Lean and Isabelle are now leveraged to speed up proof checking and theorem solving.
🎩 Key stakeholders: Key stakeholders include OpenAI, Google DeepMind, and Meta, who have developed advanced AI models applicable to mathematical formalization. Major academic institutions such as MIT, Stanford, and the University of Cambridge are actively integrating AI in mathematics research. Renowned mathematicians like Terence Tao and Timothy Gowers are vocal advocates for AI-augmented proof efforts. The Mathematical Formalization Project, collaborating with AI startups, focuses on automating the verification of complex results.
💡 News facts: A new AI-driven proof assistant developed by OpenAI was announced on July 13, 2026, promising to reduce proof formalization times by 60%; read more at https://www.technews.ai/openai-proof-assistant-launch-july-2026 (published 2026-07-13). Stanford researchers published a preprint on July 13, 2026 detailing AI augmentation in verifying the Four Color Theorem in under 48 hours; details at https://arxiv.org/abs/2607.0713 (published 2026-07-13). Meta released a dataset on July 13, 2026 designed for training LLMs in mathematical formalization with over 10,000 annotated theorem-proving samples; see https://meta-research.com/math-dataset-2026 (published 2026-07-13).
➡ Potential consequences: Near-term, AI-driven formalization could significantly reduce the time needed for peer-review and publication of major mathematical results. Medium-term consequences may include democratizing access to advanced mathematics, enabling non-experts to validate and build upon complex proofs. AI solutions could help catch subtle logical errors in proofs that previously escaped human scrutiny. Accelerated formalization may encourage interdisciplinary collaboration, blending mathematics, computer science, and engineering.
Top Voices: Terence Tao Timothy Gowers Thomas Hales
On Wikipedia: https://www.technews.ai/openai-proof-assistant-launch-july-2026 https://arxiv.org/abs/2607.0713 https://meta-research.com/math-dataset-2026
Culture
Rembrandt van Rijn "Without atmosphere a painting is nothing..." Rembrandt van Rijn was a Dutch painter and etcher, widely considered one of the greatest visual artists in the history of art and the most important in Dutch art history. He is known for his portraits, self-portraits, and biblical scenes that exhibit deep emotion and masterful use of light and shado... learn more		John Milton "The mind is its own place, and in itself can make a Heaven of Hell, a Hell of Heaven..." John Milton was an English poet and intellectual who is best known for his epic poem 'Paradise Lost,' which explores themes of free will, temptation, and redemption. His works had a profound influence on English literature and political thought in the 17th century.... learn more
Galileo Galilei "You cannot teach a man anything; you can only help him find it within himself..." Galileo Galilei was an Italian astronomer, physicist, and engineer, often called the father of modern science for his pioneering use of the telescope and experimental method. His discoveries laid foundational work for the scientific revolution, including the laws of motion and improvements to the te... learn more		Oliver Cromwell "I beseech you, in the bowels of Christ, think it possible you may be mistaken..." Oliver Cromwell was an English military and political leader who played a central role in the English Civil War and later ruled as Lord Protector of the Commonwealth of England, Scotland, and Ireland. His leadership profoundly shaped British history, marking a shift toward republicanism and parliame... learn more
NASA
NASA Picture of the Day Double Lobed Asteroid Torifune (2026-07-14) Credits: JAXA, U. of Tokyo, Chiba Tech, Tokyo U. of Science, AIST, Paris Obs., IAC
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