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Spurs Force Game 7 with Wembanyama’s 28‑Point PerformanceIn Game 6 of the Western Conference finals, the San Antonio Spurs crushed the Oklahoma City Thunder 118‑91, advancing the series to a decisive Game 7 on Saturday in Oklahoma City.Early Explosions and Defensive Stands Define the ContestWembanyama set the tone within the first 90 seconds, sinking two three‑pointers and blocking a shot. The Spurs surged ahead, hitting eight first‑quarter threes (three from Wembanyama) while the Thunder managed only one of six attempts from beyond the arc.San Antonio built a 15‑point lead early in the second quarter, weathered a Thunder comeback that trimmed the deficit to five, and then pulled away with a 20‑0 run late in the third quarter. Oklahoma City endured a 14‑shot streak without a make and went nearly eight minutes between points.Stat Line Highlights and Series TrendsVictor Wembanyama: 28 points, 10 rebounds, 2 three‑pointers, 1 blockDylan Harper (Spurs bench): 18 pointsStephon Castle (Spurs): 17 points, 9 assists, 1 turnoverShai Gilgeous‑Alexander (Thunder): 15 points on 6‑of‑18 shooting – his lowest output since a 14‑point game in the 2025 finalsThunder bench: 38 points (Spurs bench: 46 points)Thunder’s third‑quarter scoring: 13 points – fewest in a quarter this seasonImplications for the Western Conference FinalsThe decisive win underscores the Spurs’ ability to translate Wembanyama’s talent into team defense and bench production. Coach Mitch Johnson’s demand for more from his star after Game 5 was met, and the Thunder’s decision to sit key players (Gilgeous‑Alexander, Chet Holmgren, Isaiah Hartenstein) in the fourth quarter highlighted depth concerns.Oklahoma City now faces a must‑win scenario in Game 7, needing to rebound from a demoralizing loss and find offensive rhythm without the early spark that characterized their series‑opening victories.What to Expect in Game 7 in Oklahoma CityGame 7 will likely hinge on:Whether the Thunder can re‑establish perimeter shooting after a 1‑of‑6 start in Game 6.How the Spurs’ bench continues to out‑score the Thunder’s reserves.Wembanyama’s ability to dominate both ends – his early aggression in Game 6 suggests he will look to repeat the opening burst.Coach Mark Daigneault’s adjustments, especially regarding rotation and defensive assignments against San Antonio’s interior threats.The winner will advance to face the New York Knicks in the NBA finals, making the upcoming showdown a pivotal moment for both franchises.

The Rise of AI Financial MarketsThe most important market of the future could be in LLM tokens — and financial groups are rushing to build new infrastructure for them. China's Shanghai Futures Exchange is currently designing a derivatives market for AI tokens, while major derivatives exchanges CME Group and the Intercontinental Exchange (the owner of the NYSE) have separately announced they're working on launching futures contracts for renting GPUs.Building the AI Derivatives InfrastructureGPU markets are still maturing, but given the wide range of companies using, selling, and renting GPUs, there's already a robust market for spot prices on GPU rental, typically charged by the hour. This has prompted major financial players to develop futures contracts that would allow businesses to hedge against fluctuating compute costs.Enterprise plans for major AI companies are commonly denominated in tokens: OpenAI, for example, charges $5 per million input tokens, and $30 per million output tokens if you want to use the API for its latest GPT-5.5 model. Even cloud providers are increasingly offering the opportunity to charge per token, as in Amazon's Bedrock system.The Economics of GPU and Token PricingAccording to data from AI Mining Co., which tracks daily GPU rental pricing across 28 marketplaces and cloud providers, median prices for Nvidia H100 GPUs ranged from $1.40 to $4.27 per hour across 13 marketplaces, while the average price for H200 GPUs were between $2.34 and $5 per hour across 10 marketplaces.Just over the past seven days, average H100 prices ranged from $2.79 to $3.33, showing the volatility that makes futures contracts attractive for risk management.Transforming the AI Investment LandscapeThe effort comes amid an unprecedented buildout of AI infrastructure. Cloud service providers, private equity firms, and infrastructure players alike have poured hundreds of billions into building data centers, anticipating that demand for GPUs and compute will continue to rise.An emerging crop of global neocloud companies is also vying for a piece of this demand. Some of these new entrants are specializing, focusing on inference, while others are competing with cloud giants like Oracle, AWS, and Google Cloud to offer their services to AI companies.The Future of AI Financial InstrumentsBy targeting AI tokens, the Shanghai exchange's derivative product would be tied to how AI companies price their services, giving businesses, investors, and data center operators a way to hedge against the cost of compute. As AI becomes increasingly central to business operations, these financial instruments will likely become essential components of the technology investment ecosystem.

Mark Carney, Canada’s prime minister, called for a renewed US‑Canada partnership in a New York speech, framing it as a way to “help make America great again” and to boost Canada’s strategic autonomy ahead of the USMCA review.Carney Proposes a “True Partnership” in New York SpeechSpeaking in New York on Thursday, Carney said the two nations need a “true partnership” that re‑imagines cooperation in sectors under intense global competition. He argued that diversification away from the United States must be balanced with deeper collaboration on shared challenges.Trade Numbers Highlight Canada’s Strategic ValueCarney backed his call with striking statistics that underscore Canada’s importance to the U.S. economy:Canadian aluminium exports to the U.S. equal the energy output of 10 Hoover dams.Canada supplies 99% of U.S. natural‑gas imports, 85% of electricity imports and 60% of crude‑oil imports.Canada is the United States’ biggest customer for automobiles, outpacing China, Japan and Germany combined.Canada holds vast reserves of potash, nickel, copper and uranium, critical for food security, defence and AI‑driven energy demand.Implications for North American Trade and GeopoliticsThe speech signals a shift from confrontational rhetoric—exemplified by former President Donald Trump’s trade war and talk of annexation—to a strategic alignment that could reshape North‑American supply chains. By positioning Canada as a reliable source of critical minerals and energy, Carney aims to reduce U.S. vulnerability to “weaponised integration” and to counteract the “American hegemony” narrative he raised at Davos.What the Next USMCA Review Could Mean for Bilateral TiesThe mandatory USMCA review in July will test whether the proposed partnership can translate into concrete policy changes. If Canada’s proposals on aluminium, steel, automotive integration and critical minerals are embraced, the agreement could evolve into a deeper economic bloc, strengthening both nations’ competitiveness against China and other global rivals. Conversely, a failure to reach consensus may reignite tariff disputes and weaken the “strategic autonomy” Carney seeks.

The Lead Anthropic has released Opus 4.8, the newest version of its most advanced publicly available model, with a new 'dynamic workflow' tool. The model is available everywhere at standard pricing. The Event Details Opus 4.8 comes just 41 days after Opus 4.7 was released, a much faster upgrade cycle than normal for Anthropic. The new model features best-in-class benchmark results and improved handling of bad or uncertain data. Anthropic's early testers found that Opus 4.8 is "more likely to flag uncertainties about its work and less likely to make unsupported claims." The Data Analysis Opus 4.8 is available at standard pricing. The model comes with a new 'dynamic workflow' tool, available in research preview. Anthropic's most advanced Mythos model is still in development, with a tentative preview last month. The Impact Analysis The fast turnaround for Opus 4.8 may be in response to the chilly reception of Opus 4.7 and increasing pressure from competitors like OpenAI's Codex and Google's Gemini Flash model. The new model's ability to handle uncertain data and flag issues with inputs and outputs could give it an edge in the market. The Prediction Anthropic hinted that the Mythos preview period might soon end, once necessary safeguards are complete. The company expects to bring Mythos-class models to all its customers in the coming weeks. With Opus 4.8 and the dynamic workflow tool, Anthropic is positioning itself to compete with other major players in the AI market.

The Strategic Shift in iOS 27Just ahead of Apple’s Worldwide Developers Conference (WWDC) in June, leaked renders reveal a significant overhaul of the iPhone's interface, driven by a new generation of AI capabilities. The most visible change is the integration of Apple’s AI upgrade directly into the user experience, moving beyond simple voice commands to a comprehensive, card-style interface.The Dynamic Island as the AI Command CenterThe iconic black pill-shaped area at the top of the screen, known as the Dynamic Island, is set to become the central hub for AI interactions. While users can still trigger Siri via a button press, the primary mode of interaction will shift to the Dynamic Island. This allows for quick voice queries and searches, mimicking current usage patterns while offering a richer visual output.Furthermore, Apple is capitalizing on muscle memory by integrating AI-powered search into the swipe-down gesture. This feature, powered by a rebuilt AI model using Google's Gemini technology, allows users to search, launch apps, send messages, and manage calendar events directly from the search card.Scale as Apple's Competitive AdvantageApple’s primary weapon in this AI race is its sheer scale. With a total install base of 2.5 billion devices, Apple has an unmatched runway to introduce AI to users who have not yet adopted standalone tools like ChatGPT. While ChatGPT boasts 900 million weekly active users, Apple’s ecosystem offers a frictionless entry point for millions of new users.A Hybrid Approach to AI DevelopmentApple’s strategy mirrors its successful partnership with Google for search: leveraging external technology to meet immediate user demand while simultaneously developing proprietary solutions. By utilizing Google's Gemini under the hood for cloud-based intelligence and investing in local AI models for on-device processing, Apple aims to maintain its privacy-first brand without the prohibitive costs of building a massive AI infrastructure from scratch.The Standalone Chatbot ChallengerIn addition to system-wide integration, Apple is developing a dedicated Siri app designed to compete directly with market leaders like ChatGPT and Claude. This standalone application will feature past chat history, document uploads, and photo analysis, providing a robust alternative for users seeking advanced AI assistance.

Britain faces a looming fiscal shock of roughly £125 bn each year if the surge in youth worklessness is not tackled, according to a landmark review led by former Labour minister Alan Milburn.The Milburn Review Highlights a £125bn Fiscal DrainThe report, commissioned by the government, labels the growing cohort of young people outside school, work or training as a “lost generation”. It argues that the current trajectory is no longer affordable and may become unsustainable for public finances.Numbers Behind the Crisis: Over 1 Million NEETs and £8.1bn Benefits SpendNEET count in the three months to March 2026: 1,012,000 (first breach of 1 m since 2013).Average lifetime earnings loss per NEET (age 18‑24): £52,000 per year.Annual benefits cost for young people: £8.1 bn, with £4.4 bn directly linked to NEETs.Potential GDP boost if all NEETs were employed: £38 bn extra output.Estimated lifetime public‑finance impact per NEET: £29,000.Why the Growing NEET Population Undermines the UK EconomyThe surge coincides with the highest overall unemployment levels since the Covid pandemic and comes amid broader economic pressures from tax hikes and the fallout of the Iran war. The report warns that the longer a young person remains out of work or study, the costlier the intervention becomes, creating a multibillion‑pound “financial black hole”.Policy Paths and the Likelihood of ReformMilburn calls for a “fundamental reset” of policies across schools, the NHS and the welfare state, arguing that simply expanding work programmes will not address deep‑rooted issues. He estimates that £3.2 bn could be saved if NEETs were in work and earning above benefit thresholds. However, any new welfare reforms may face political resistance after recent controversial benefit changes.

Google’s AI Overview Stumbles on Simple Letter Counting Google’s newly rolled‑out AI Overview feature in Search incorrectly counted letters in everyday words – claiming there are two “P”s in “Google”, one “r” in “poop”, and even misspelling “journalism”. The blunders highlight a long‑standing weakness of large language models (LLMs) when it comes to exact spelling. The Miscounted Letters Behind the New Search AI “Google” – AI said 2 Ps (actual: 0) “poop” – AI said 1 r (actual: 0) “journalism” – AI said 2 d’s (actual: 0) U.S. President’s last name – AI reported 1 P but rendered “t‑r‑p‑u‑m” Quantifying the Miscounts: Numbers Behind the Errors Beyond the anecdotal examples, the AI also produced a faulty definition for the word “disregard”, responding with “Understood. Let me know whenever you have a new prompt or question!” This illustrates that token‑based encoding can produce nonsensical outputs even when the input is a single word. Implications for Search Trust and AI Adoption Google’s AI‑driven overhaul aims to make generative responses the centerpiece of its 29‑year‑old search product. Repeated factual and spelling errors risk eroding user confidence, especially after earlier AI Overviews cited satirical sources and gave absurd advice such as “eat rocks”. Trust in AI‑generated answers remains a critical hurdle. What’s Next for Google’s Generative Search? Google told TechCrunch it is “working to fix this particular issue” and will likely refine its tokenizer and post‑processing pipelines. Industry observers expect incremental improvements rather than a complete architectural shift, meaning users may continue to see occasional glitches while the broader AI‑search strategy matures.

On 15 May, **BioOrbit** launched its compact **Box‑E** payload aboard a **SpaceX** rocket, beginning a six‑week orbital trial to grow ultra‑pure protein crystals for self‑injectable cancer therapies. Box‑E’s Orbital Test: Microgravity Enables Ultra‑Pure Protein Crystals The microwave‑sized unit will float aboard the International Space Station, where microgravity eliminates the disruptive effects of Earth’s gravity on crystal formation. The resulting crystals are more stable, allowing drug formulations that are impossible to achieve on the ground. Mission duration: ~6 weeks in orbit Target output: thousands of litres of fluid per box per year Goal: Produce cancer‑drug crystals that can be stored in a fridge and self‑injected £9.8 Million Funding Round and UK Space Agency Contract Last month **BioOrbit** closed a **£9.8 million** Series A round led by **LocalGlobe** and **Breega**, earmarked for the orbital test and scaling of the hardware. Earlier in March the company secured a **£250,000** contract from the UK Space Agency to manufacture drugs in microgravity. Potential Disruption of Cancer Treatment Delivery Current immunotherapies such as Merck’s **Keytruda** require lengthy IV infusions in hospitals. By crystallising the active protein, **Box‑E** could enable high‑concentration, low‑viscosity formulations suitable for pen‑injectors, reducing treatment time from hours to minutes and extending shelf‑life. Roadmap to Commercialisation and Market Size **BioOrbit** projects that, if orbital tests succeed, multiple **Box‑E** units could be stacked to meet the demand of a blockbuster drug within a handful of boxes. The company estimates a market of **$22.7 trillion** for in‑space manufacturing across sectors, with pharmaceuticals a key segment. Clinical trials and regulatory approval are expected to take at least five years before the new formulations reach patients. Future Outlook for Space‑Based Pharma Beyond cancer, the crystallisation platform could be applied to the roughly 70 % of top‑selling drugs that are currently administered intravenously. Partnerships with major pharma groups are already being explored, and competitors such as **Varda Space Industries** are also pursuing in‑orbit drug processing, signaling a burgeoning industry.

The Lead Senegal's parliament speaker, El Malick Ndiaye, has resigned, deepening the country's political crisis. Ndiaye's decision comes two days after his close ally, Ousmane Sonko, was fired as prime minister by President Bassirou Diomaye Faye. The Event Details Ndiaye announced his resignation on Facebook, stating it was a 'personal choice, guided above all by my notion of institutions, public responsibility and the greater interest of the nation.' This move paves the way for Sonko, whose Pastef party holds a strong majority in parliament, to potentially run for the post of head of parliament. The Impact Analysis The ongoing political tensions complicate reform efforts and may delay Senegal's negotiations with the International Monetary Fund (IMF). The IMF had frozen a $1.8 billion lending program due to misreported debt, pushing the country's end-2024 debt level to 132 percent of its economic output. President Faye's dismissal of Sonko risks further delaying a new agreement with the IMF, which is crucial for addressing Senegal's debt crisis. The Prediction Sonko's potential ascension to a leadership role in parliament could further complicate governance and the passage of reforms needed to secure IMF support. With Pastef dominating the National Assembly, the party's influence may shape Senegal's political and economic trajectory in the coming years.