What smart people in tech are saying about Apple's slew of AI announcements
Tech industry leaders are weighing in on Apple's AI updates across its ecosystem, including on Siri, call assistance, and photo editing tools.
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Tech industry leaders are weighing in on Apple's AI updates across its ecosystem, including on Siri, call assistance, and photo editing tools.
This story originally appeared in The Guardian and is republished here as part of the Climate Desk collaboration. The Trump administrationโs plan to dismantle an ocean observation system vital to understanding the climate crisis and marine ecosystems would โseverely degradeโ the accuracy of weather predictions and El Niรฑo forecasts, with economic consequences for the United States, European and American scientists have [โฆ]
Robot.com CEO Felipe Chavez said he wants to build an ecosystem of robots that will handle boring, repetitive tasks.
Whatโs the difference between a person, an artifact, and an ecosystem?
More than any other in recent memory, this administration has been willing to be bold in defense of American interests. It must do so for US biotech as well. Our US biotech ecosystem is in crisis: to be blunt, China's industrial policy combined with a sclerotic FDA over the previous decade is stealing and eroding away the industry. This is happening at a time when AI breakthroughs should be accelerating faster and cheaper cures.
In fire-prone ecosystems in Australiaโs Northern Territory, prescribed burns are lit to minimize the severity of fires later in the season.
On August 19, Startup Battlefield is returning to Sydney in partnership with Stripe, one of the world's most iconic technology companies. We're taking over Stripe Tour Sydney for a night that the Australian startup ecosystem won't forget.
Chinaโs plan to become a world leader in AI by 2030 is a fixture of practically every Congressional briefing and expert commentary on Beijingโs AI ambitions. The planโs logic โ introduced in 2017 โ was simple and alarming: Beijing would direct capital, mobilize its firms, recruit talent, and execute with the strategic patience of a state-led innovation ecosystem. Nearly a decade later, that frame has only hardened. Beijingโs recently issued 15th Five-Year Plan directs Party organs to take โextraordinary measuresโ to strengthen technological self-reliance and launch a new โAI+โ initiative to integrate AI across the nationโs strategic sectors. Beijing has The post Forged in a Knife Fight: Chinaโs Brutal Domestic AI Competition appeared first on War on the Rocks.
Unprecedented heatwaves, violent storms, mega-cyclones, catastrophic floods, prolonged droughts and uncontrollable wildfires have all become commonplace, with extreme weather events increasing in both frequency and intensity thanks in large part to human-induced climate change. Global temperatures have continued to soar, with recent years continually ranking among the hottest on record. The consequences go far beyond the destruction of local ecosystems and damaging physical infrastructure, creating other new opportunities as investments shift alongโฆ
WiiM, the audio company that's challenged the idea that audiophile-level performance requires a small loan, is expanding its whole-home ecosystem with the WiiM Bar, which releases in July. Much like its other speakers and audio components, the WiiM Bar supports a bunch of streaming options and expandability at an affordable price - in this case, [โฆ]
The Trump administration cannot stick to occasional prosecutions while allowing the broader ecosystem of anti-ICE extremists to operate with relative impunity.
Children born after 2013 are the first generation to grow up fully immersed in digital systems, which werenโt designed with them in mind. Oneโthird of the worldโs Internet users are younger than 18, according to UNICEF, yet these systems shaping their daily lives were built for adults. They were optimized for engagement and designed long before people understood how profoundly digital environments influence children. For engineers and technical professionals, online safety is not an abstract policy debate. It is a design challenge that demands rigor, systems thinking, and ethical foresight. Governments around the world are also beginning to recognize the problem. Policymakers from across Australia, Brazil, the European Union, Indonesia, and the United States are responding to risks engineers have long understood: Addictive features, inappropriate content, opaque data practices, and algorithmic systems shape user behavior in ways that their creators did not fully predict. For years, technology moved faster than governance. Now governance is trying to catch up. Global Shift Toward Design Reform Supporting National Digital Ambitions In Athens this year I met with senior leaders of Greek government agencies and key national research institutions. Greece is moving quickly on digital transformation and responsible technology governance, and our discussions reinforced IEEEโs role as a trusted, neutral collaborator. We focused on supporting Greeceโs ambitions in digital modernization and publicโsector innovation. We also discussed responsible AI and age-appropriate digital design in Europe and elsewhere. These engagements, grounded in shared values and longโterm commitment, strengthened IEEEโs presence within the European ecosystem and opened new pathways for collaboration on trustworthy AI and childโfocused digital wellโbeing. The European Union and the United Kingdom have been among the first to act, embedding ageโappropriate digital design into their broader childrenโs rights agenda. Drawing on IEEE expertise and global best practices, Indonesia is the first country in Asia, and Brazil is the first country in Latin America, to adopt age-appropriate design regulation. Australia is aiming to limit access to harmful content and addictive design features through age restrictions on certain platforms. And in the United States, in addition to federal efforts, states including California, New York, and Utah are enacting approaches including age-appropriate design principles. Across these efforts, a shared realization is emerging. Protecting children online is not simply about filtering content or adding parental controls. It requires rethinking the architecture of digital systems regarding how data is collected, how algorithms make decisions, how interfaces influence attention, and how AI interacts with the developing minds of young users. Engineers and technical professionals understand that design choices are never neutral. They encode values, incentives, and assumptions. When the user is a child, those choices carry greater weight. This is where IEEEโs work becomes more essential. Protecting Children Online For more than a decade, IEEE has been building technical and ethical foundations for safer digital experiences. The first IEEE standard on age-appropriate design in 2021 marked a turning point. It offers a structured, principled approach to designing with childrenโs rights in mind. The Instituteโs 2022 article โUse a New IEEE Standard to Design a Safer Digital World for Kidsโ highlights how the standard helps translate those principles into engineering practice. Today the IEEE Standards Associationโs (SA) Trustworthy Digital Experiences portfolio provides a practical, technically grounded framework for governments and industry. Spanning ethical design, data governance, algorithmic transparency, and childโfocused digital wellโbeing, it has already initiated discussions with government stakeholders around the world. This work helps bridge the gap between engineering realities and policy ambitions. No single country can solve these challenges alone. Many policymakers lack access to the combined expertise in technology, governance, and childrenโs rights needed to act quickly and effectively. This collaborative effort helps close that gap. The stakes are high. Without coordinated action, public policy will continue to lag behind technology, leaving children exposed to risks that could have been mitigated through thoughtful design. But with the right frameworks, governments can ensure digital systems respect childrenโs rights, support healthy development, and promote wellโbeing. IEEEโs emerging standards and collaborative technology policy work offer a path forward. By grounding national efforts in evidenceโbased, rights-aligned design principles, IEEE is helping governments move from reactive regulation to proactive, coherent, and globally informed strategies for protecting children online. Safeguarding childhood in the digital age is both a moral imperative and an engineering challenge. And IEEE is helping to lead the way. โMary Ellen Randall IEEE president and CEO Please share your thoughts with me: president@ieee.org. This article appears in the June 2026 print issue.
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Ibotta exec says firm represents value across shopping ecosystem at POSSIBLE
Europeโs startup ecosystem has matured significantly; its founders are increasingly willing to scale companies domestically instead of immediately looking to relocate to the U.S.
This article is adapted by the author with permission from Tech Policy Press. Read the original article. South Africa is not just another developing country struggling to govern artificial intelligence; it is the exception with leverage, and the window to act on it is closing. It holds approximately 88 percent of global platinum-group metal reserves, critical inputs to parts of the semiconductor and data-center supply chains that make AI infrastructure possible. It hosts the largest data-center market on the continent. Its existing hyperscaler relationships give it procurement leverage that most African states will never have. And a major geopolitical contest over AI infrastructure is being fought on its soil right now, between Chinese and American technology companies competing for control of the systems that will underpin an entire continentโs public sector. In physics, leverage requires three things: a fulcrum, a lever arm, and the ability to apply force. The Bushveld Complex, the worldโs largest platinum-group metal deposit, is the fulcrum: a mineral endowment that gives South Africa a position in the semiconductor supply chain that no other African state holds. The since-withdrawn draft policy is the lever arm. The unresolved โOPTIONโ provisions in the policy are where force would be applied. Without a policy that specifies what South Africa wants in return for market access, the lever arm sits unused, and the weight of two of the worldโs largest technology ecosystems settles exactly where those ecosystems want it to settle. This makes South Africa a global test case. Not because its proposed means of governance is exemplary, but because it is the one developing country with enough structural leverage to negotiate genuinely different terms, and the one that is choosing, through inaction, not to. The recent announcement of a new panel to update the draft policy is an important opportunity. But the deeper failure is not that an AI policy contained bad references. It is that no verification process caught them before the document entered the public domain. That is a systems problem, not merely a political one. It points to a missing layer in how governments are adopting AI. The contest already underway Last year, Huawei pitched an emerging-product bundle to tech executives across the continent. Huawei was now bundling access to DeepSeekโs large language model with its own cloud and storage infrastructure. The price differential was starkโin some cases by more than 90 percent. At the same time, Microsoft announced plans to spend ZAR 5.4 billion ($300 million) by the end of 2027 on cloud and AI infrastructure in South Africa, building on a prior ZAR 20.4 billion investment. Google, Amazon Web Services, and Oracle already have cloud regions in the country. According to one analysis, the countryโs data-center market was valued at US $2.16 billion in 2024, the largest in Africa. These are not commercially neutral investments. Huaweiโs infrastructure reach has been explicitly linked to Chinese strategic objectives, including a documented track record of providing governments with surveillance infrastructure through its Safe Cities network. U.S. hyperscaler investment comes with its own dependency structure: closed models, pricing set unilaterally, and terms of access that no African government has meaningfully shaped. South Africa is being asked to choose between these dependency models without a policy that specifies what it wants in return. The leverage it has There is a particular irony in South Africaโs position. The country whose mines supply platinum-group metals essential to semiconductor manufacturing, and through them to AI compute, has drafted a policy that treats it as a consumer of AI systems rather than a stakeholder in their governance. South Africa digs up the minerals that make AI possible. It has no say over the AI built from them. The AI triad framework covers algorithms, compute, and data. South Africa has no frontier model development capacity. South Africa holds significant data assets in financial services, health care, and agriculture, with no clear framework for their sovereign management. South Africa possesses PGM (Platinum Group Metals) leverage of global significance on the compute axis, currently being transferred without meaningful condition. It also has exceptionally high solar irradiance and significant renewable-energy potential. A country that can offer both critical mineral inputs and the energy to power the infrastructure those minerals help build occupies a negotiating position of unusual strength. The Draft Policy proposes no minimum terms for hyperscaler investment, no data sovereignty requirements, no technology transfer conditions and no compute visibility mechanism. Multiple provisions are explicitly left unresolved, marked โOPTION,โ including the most consequential choices about how governance will function. Infrastructure decisions made now determine what is renegotiable later, and the answer is: very little. Three futures, one default The three infrastructure futures on offer each create a structurally different form of dependency, and only one creates sovereign capability. The Huawei-hosted DeepSeek integration offers low cost and open-source weights, but with data stored on infrastructure potentially accessible under Chinese legal frameworks, creating surveillance dependency in a pattern already documented across Africa. The second is U.S. closed-model dependency: higher capability, more reliable data protection, but complete API dependency on developers abroad. The third is locally hosted open-weight infrastructure: models governed under South African data-sovereignty rules, on infrastructure subject to minimum terms, developed with South African data. As Nathan Lambert at Interconnects has observed, open-weight models are likely the only realistic way to get sovereign AI off the ground as a real effort, enabling local communities and economies to integrate meaningfully with the technology. But this requires procurement conditions, not goodwill. What binding governance looks like The GovAI โGoverning Through the Cloudโ framework identifies four roles compute providers should accept as conditions of operating at scale: securers (protecting model weights and training data), record keepers (maintaining infrastructure usage logs), verifiers (confirming customer compliance with safety standards) and enforcers (restricting access when violations occur). These are operational requirements, not theoretical categoriesโspecific, enforceable, and well within the bargaining power of a market of South Africaโs size and mineral position. A detailed policy analysis submitted to the Department of Communications and Digital Technologies (DCDT) identifies the specific provisions the final policy must contain: mandatory minimum terms for foreign compute infrastructure investments above ZAR 500 million (~$30 million); a compute reporting threshold; a National AI Safety Institute mandate covering defensive monitoring of AI capability accumulation; and National AI Champion Sector designations to create data assets for domestic model development. Each provision converts a structural advantage into a governance instrument before that advantage is foreclosed by market reality. Just as modern software security increasingly depends on knowing what components are inside a systemโmodel provider, training data, compute environment, evaluation methods, update cadence, human review points, and failure-reporting proceduresโpublic-sector AI governance requires a clear account of the stack before deployment, not after a problem surfaces. A public institution that cannot verify the sources in its own AI policy is unlikely to be ready to verify the AI systems it procures, deploys, or regulates. Why this is the continental test case South Africaโs choices will establish a regional precedent for what is commercially negotiable in AI infrastructure. If South Africa negotiates data-sovereignty guarantees and technology-transfer conditions as requirements for hyperscaler investment, it creates a replicable model. If Microsoftโs $300 million investment and Huaweiโs infrastructure expansion proceed on standard commercial terms, as they are currently, it normalizes extractive AI infrastructure across the continent. The lesson is not specific to Africa. Governments everywhere are producing AI strategies while lacking AI assurance infrastructure. South Africa is an early warning, not an isolated case. The public comment period closed when the policy was withdrawn. But a parallel process remains live: the National Treasuryโs Draft General Public Procurement Regulationsโthe legal instrument that will govern every government AI contractโcloses for comment on June 15. Those regulations contain no AI-specific provisions. South Africa has more AI leverage than any country on the continent. Some argue, with force, that governance requirements risk deterring the infrastructure investment South Africa urgently needs: compute capacity, reliable energy, venture capital, and talent retention. That concern deserves a direct answer. Minimum procurement terms, compute reporting thresholds, and technology transfer conditions are not barriers to investment. They are the conditions under which investment serves the host country rather than extracting from it. Infrastructure built without minimum terms produces dependency. Infrastructure built with them produces leverage. To serve the public interest, its AI policy must use it. When late last month News24 reported AI-hallucinated references in the draft AI policy, Minister of Communications and Digital Technologies Solly Malatsi withdrew the draft policy. That was a mistake that could cost South Africa and the rest of the continent the initiative on this urgent issue. His more recent constitution of an independent panel is a belated step in the right direction, if it can turn South Africaโs leverage into policy. The panelโchaired by Professor Benjamin Rosman of the Wits Machine Intelligence and Neural Discovery Institute, and including Professors Vukosi Marivate and Alison Gillwald of Research ICT Africa and Dr. Jabu Mtsweni of the Council for Scientific and Industrial Researchโhas the technical and governance credibility to produce a stronger document. What it has not yet produced is a timeline. No revised draft has been scheduled. South Africa remains without a formal AI governance framework in the interim.
A dozen financial institutions from Scandinavia have urged the European Commission to remain firm in its opposition to Arctic oil drilling even as the bloc faces physical oil shortages in weeks, according to energy experts. โThe Arctic is one of the planet's most vulnerable ecosystems and home to unique wildlife .... Further oil and gas expansion would add pressure to these globally significant ecosystems, by increasing the risk of oil spills and leakages,โ the lenders said in a letter organized by the Nordic Center for Sustainableโฆ
Editorโs note: This is the ninth article in an 11-part series examining how the United States should organize, lead, and integrate economic statecraft into strategy, defense practice, and the broader national security ecosystem. The special series is brought to you by the Potomac Institute for Policy Studies and War on the Rocks. Prior installments can be found at the War by Other Ledgers page.In September 2010, after a Chinese fishing trawler captain was detained near the Senkaku Islands, Beijing halted rare-earth exports to Japan. The embargo lasted weeks. China showed, on a U.S. treaty ally, how a supply chain could be The post Rebuilding American Manufacturing: A Keystone for Economic Statecraft appeared first on War on the Rocks.
In a forest in Madagascar, the demise of a centuries-old baobab points to the fraying of a fragile ecosystem.
Once found only in parts of the West and Southwest, coyotes have dramatically expanded their range, and are now found in every state except Hawaii. Conor Knighton looks at how these animals have become part of the urban landscape in places like Chicago, and what roles they play โ in history, in Native American stories, in art and in today's urban and suburban ecosystems.