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In response to security concerns, several nations have imposed export control regulations on quantum technologies. These controls primarily aim to prevent adversaries from accessing advanced quantum systems capable of undermining current encryption protocols or offering military advantages^[3]. For example, multiple countries, including the United Kingdom, France, Spain, and the Netherlands, have enacted identical wording restricting the export of quantum computers meeting certain specifications—such as a threshold of 34 qubits with specified error rates—even though the current state of technology does not yet allow for practical cryptographic attacks^[10]. Furthermore, experts note that while traditional export restrictions may protect sensitive technologies, they can inadvertently slow down the pace of global research by limiting the exchange of knowledge and delaying collaborative benefits in both civilian and defense sectors^[7].

Simultaneously, visa restrictions and stringent immigration policies have emerged as key impediments to maintaining a robust quantum research workforce. The United States, historically a magnet for international STEM talent, has seen increased visa fees, stricter screening, and expanded travel bans that particularly affect talent-exporting nations such as India, China, and the Philippines^[8]. This policy shift has led to a reduction in the flow of highly skilled workers into the U.S., worsening the already strained quantum talent pipeline as domestic candidates are outnumbered by job openings in the field^[1]. Conversely, reforms suggested in initiatives under the AI Executive Order aim to streamline visa processing, increase domestic revalidation of J-1 and F-1 visa holders, and create more accessible paths for H-1B and other skilled worker visas^[11].

International collaboration is crucial for quantum technology development given the globally dispersed expertise and resources needed to advance the field. However, the dual-use nature of quantum innovations creates inherent tensions between openness and protectionism. Collaborative efforts, such as research supplements from the National Science Foundation, underline the value of multinational partnerships in accelerating the progress of quantum information science^[13]. In contrast, export controls and intellectual property concerns, exacerbated by incidents like China's ‘Thousand Talents Plan', have led to fragmented supply chains and siloed research ecosystems, impeding the free flow of scientific information^[3]. Additionally, security alliances such as those formed under AUKUS and the Quad illustrate attempts to balance collaborative progress with national security imperatives, though they risk creating a divided global research environment along geopolitical lines^[4].

To navigate the challenges of export controls, visa restrictions, and international collaboration, several frameworks can be implemented. First, establishing dedicated multilateral dialogues and reciprocal research exchange programs among allied nations could foster trust and streamline the sharing of quantum knowledge while addressing national security concerns^[1]. Such frameworks should promote joint funding mechanisms and shared intellectual property agreements that ensure the benefits of quantum research are equitably distributed among partners^[5].

Second, refining and harmonizing export control regulations through international bodies such as the Wassenaar Arrangement can help set common benchmarks while leaving room for exemption protocols for non-sensitive research materials. A more agile, plurilateral approach would allow allied nations to swiftly adjust controls in response to technological developments, thereby reducing administrative burdens on innovators^[10].

Third, revising visa policies to better balance security with the need for global talent is critical. This could involve modernizing current immigration practices by easing the revalidation process for high-skilled workers and creating specific visa categories for researchers in emerging technologies. As suggested under the recent AI Executive Order initiatives, clear guidelines and streamlined procedures would reduce uncertainties and ensure that countries remain attractive destinations for international experts^[11].

Finally, establishing international standardization bodies that include representatives from government, industry, and academia can develop common quality and security standards for quantum technologies. Such organizations would work on setting universal criteria for quantum research, ensuring that security policies are consistently applied and that research that has civilian and strategic benefits continues unimpeded^[14].

The future of quantum technology hinges on the capacity to balance openness with protectionism. While export controls and restrictive visa policies serve immediate national security interests, they may also hinder the international collaboration necessary for groundbreaking scientific advancements. By adopting flexible and harmonized frameworks that promote secure exchanges within trusted international networks, nations can both protect their strategic assets and maintain a dynamic, global research ecosystem. The integration of multilateral dialogue mechanisms, updated visa and export policies, and international standardization efforts stands as a comprehensive approach to ensuring that quantum technology fuels innovation while safeguarding critical national security needs^[6].

Transitioning from the fear of missing out (FOMO) to the joy of missing out (JOMO) involves reshaping one's mindset and lifestyle to focus on personal fulfillment rather than external validation. One primary strategy is to develop a mindful awareness of the present moment by incorporating practices such as meditation, deep breathing, or simply pausing to observe one's surroundings. This mindfulness practice helps to break the cycle of constant comparisons and reduces the incessant urge to check social media^[8].

Setting clear boundaries around digital usage is another crucial step. Many individuals have found that limiting time spent on social media by scheduling specific check-ins or even performing a digital detox can alleviate the compulsive need to stay connected and foster an appreciation for offline experiences^[4][12].

In addition, re-evaluating personal priorities and engaging in activities that align with one's values can help reinforce the joy of missing out. This means choosing to participate in experiences that are deeply meaningful rather than succumbing to the pressure of what everyone else is doing. Prioritizing quality over quantity in social interactions, whether by nurturing close relationships or dedicating time to self-care, is integral to this transformation^[11].

Cognitive-behavioral approaches, such as challenging negative thought patterns and focusing on gratitude for one's own life, further support the shift from FOMO to JOMO. Recognizing and appreciating one's unique journey—even if it looks different from others'—can diminish feelings of envy and inadequacy^[10].

Structured reflection activities are a valuable tool for individuals seeking to overcome FOMO and cultivate JOMO. One effective exercise involves writing down personal values and goals in a gratitude journal. By recording daily moments of thankfulness and the small wins that contribute to a fulfilling life, individuals can reframe their focus from what they are missing to what they already have^[4].

Another recommended method is to engage in group reflection activities. For example, trainers have used card-sorting games where participants rank or match cards that feature key ideas and personal experiences. This exercise not only reinforces learning but also encourages participants to share their insights on what truly matters, helping to build a shared narrative of satisfaction and contentment^[9].

Additionally, simple practices such as 'the snowball activity,' where individuals anonymously write down their thoughts on success and then discuss these ideas in small groups, can promote a deeper understanding of personal fulfillment. These activities create an environment where individuals reflect on their accomplishments and learn to value their own journey over societal expectations^[9].

Personal narratives serve as powerful reminders that transformation from FOMO to JOMO is not only possible but also highly rewarding. One compelling success story comes from a student who shared their journey of overcoming FOMO. Initially overwhelmed by the pressure of constant social media updates, this individual began by consciously limiting online time and unfollowing accounts that triggered negative feelings. By practicing gratitude every night and setting boundaries to protect their personal time, they gradually discovered a sense of peace and contentment that had previously eluded them^[4].

Other testimonials highlight that by prioritizing offline interactions and investing in face-to-face relationships, many have experienced increased satisfaction and improved mental health. Embracing JOMO not only helps to reduce stress and anxiety but also allows people to reclaim precious time and energy that can be devoted to self-discovery and nurturing meaningful connections^[11].

For instance, one narrative from a digital detox campaign explains how stepping away from the pressures of constant connectivity enabled individuals to refocus on their passions, whether that be pursuing a hobby or spending quiet evenings with loved ones. These success stories underscore that by aligning one's actions with personal values, it is possible to transform anxiety over missed experiences into genuine joy in one's chosen way of living^[12].

The journey from FOMO to JOMO is a transformative process that requires an understanding of deep-seated psychological drivers and the active implementation of practical strategies. Recognizing that social media often presents an incomplete picture of reality can help individuals reframe their perceptions and embrace lives full of meaningful, personal experiences rather than constant comparison. Through mindfulness, setting boundaries, engaging in cognitive-behavioral practices, and participating in reflective exercises, people can gradually shift their focus from the anxiety of what they might be missing to the joy of being present in their own lives^[2][10].

Ultimately, as demonstrated by personal success stories and supported by research, cultivating the joy of missing out allows individuals to enhance their well-being, deepen their relationships, and live with a renewed sense of purpose and contentment in the digital age^[13].

One of the key features of AI model marketplaces is the adoption of specialized licensing schemes that distinguish model weights from traditional source code. Developers and organisations are increasingly licensing models under dedicated frameworks such as Responsible AI Licenses (RAIL) and OpenRAIL licenses, which impose specific use restrictions while allowing downstream users to build derivative works under similar constraints^[2]. These licenses explicitly address concerns over quality assurance by incorporating technical limitations, usage guidelines, and safeguards against misuse, thus ensuring that models traded in these marketplaces meet both ethical and functional standards^[2]. By clearly stating permitted applications and potential restrictions, licensing not only provides legal clarity but also serves as an assurance mechanism for buyers and users, helping them navigate the complexities of intellectual property and model performance^[2].

The rapid expansion of AI marketplaces has raised significant regulatory challenges, particularly concerning market concentration, liability for harms, and the balance between innovation and public safety. Governments and regulators face a dilemma when attempting to intervene; they must design policies that not only address potential externalities but also avoid stifling the beneficial dynamics of market experimentation^[3]. For instance, when innovation carries risks, regulatory measures may include ex ante restrictions such as bans or ex post measures like liability rules, both of which require policymakers to evaluate uncertain future harms while preserving the impetus for breakthrough developments^[3]. Moreover, given the inherent uncertainty and rapid evolution of AI technologies, a nimble and adaptive regulatory framework is critical to ensure that rules remain relevant and do not inadvertently penalize further innovation or the development of safety features within AI systems^[3].

Innovative approaches to governance are emerging alongside the growth of AI marketplaces, particularly in models that promote collaboration across society, government, and the market. An illustrative example comes from India's integrated AI ecosystem, inspired by the Samaj, Sarkar, Bazaar philosophy, which emphasizes the synergy between public institutions, private companies, and community stakeholders^[4]. This model not only supports high-end technical development and quality assurance through public-private partnerships, but also ensures that the benefits of AI are distributed equitably, by aligning regulatory frameworks with societal needs and ethical standards^[4]. In such ecosystems, the responsibility for model quality and safe deployment is shared, with government initiatives and academic research complementing private enterprise efforts to drive innovation in a responsible and inclusive manner^[4].

The interplay between market-driven innovation and regulatory oversight is central to the future of AI model marketplaces. On one hand, these marketplaces enable rapid diffusion of technical expertise and drive economic benefits by making high-quality models readily available to a diverse user base^[4]. On the other hand, there are inherent risks such as model misuse, potential legal ambiguities regarding copyright, and challenges in ensuring that trade practices do not lead to monopolization or reduced safety standards^[2]. Regulatory frameworks must therefore be carefully calibrated to encourage experimentation and innovation while simultaneously imposing safeguards to mitigate negative social impacts, such as misinformation or discriminatory outcomes^[3]. This balance requires ongoing dialogue among developers, policymakers, and the broader community to continuously redefine best practices in licensing, quality assurance, and ethical model use.

AI model marketplaces represent a transformative shift in how technology is developed, deployed, and governed, blending open innovation with targeted regulatory oversight. The specialized licensing frameworks, including Responsible AI Licenses and OpenRAIL, have emerged as essential components in governing the use and distribution of pretrained models, ensuring that both quality assurance and ethical use are maintained. At the same time, the evolving regulatory landscape highlights the need for agile policies that account for the uncertainties and rapid technological advancements inherent in AI. Efforts such as India's holistic approach to AI governance illustrate that collaborative, multi-stakeholder models can serve as effective blueprints for balancing innovation with societal responsibilities. As the digital bazaars of AI continue to grow, building robust governance mechanisms will be critical for maximizing the benefits while mitigating the associated risks.

Innovations in steelmaking are focused on eliminating coal from the production process^[9]. One of the most promising technologies is hydrogen-based direct reduction of iron (DRI)^[14]. This method uses hydrogen, ideally produced with renewable energy, to react with iron ore to make iron, which could theoretically lead to near-zero emissions^[5]. Projects like Europe's HYBRIT are pioneering this approach^[9]. However, adoption is hindered by the high cost and limited availability of green hydrogen, as well as the need for significant infrastructure upgrades^[14]. Another revolutionary technology is molten oxide electrolysis (MOE), which uses electricity to separate oxygen from iron ore, producing pure metal and oxygen as a byproduct instead of CO2^[16]. If powered by clean electricity, this process could have an extremely small carbon footprint^[5]. Companies like Boston Metal are working to commercialize MOE, with plans to license the technology by 2026^[5]. In the U.S., the focus has also been on expanding scrap-based electric arc furnace (EAF) production, which uses electricity to recycle steel and has a lower carbon footprint than traditional methods^[14].

Decarbonizing cement is inherently difficult because the chemical transformation of limestone into clinker, the key ingredient, releases CO2^[2]. Clinker production accounts for 85% of the sector's emissions^[17]. A primary strategy is to reduce the clinker content in cement by using supplementary cementitious materials (SCMs) like fly ash and steel slag to create blended cements^[17]. Increased use of SCMs could reduce the cement industry's emissions by 30-40% by 2030^[10]. More advanced solutions involve developing alternative or "novel" cements that use different chemistries and raw materials^[17]. Clinker-free binders like super sulfated cements (SSCs) can cut CO2 emissions by over 90%^[13]. Startups such as Sublime Systems and Brimstone are pioneering processes that use non-carbonate rocks, avoiding process emissions entirely. For conventional plants, Carbon Capture and Storage (CCS) is considered an unavoidable solution^[2]. CCS can be applied to both process and heating emissions, potentially reducing a plant's total emissions by about 85%^[2]. Captured CO2 can also be utilized through mineralization, where it is permanently embedded in concrete, turning it into a carbon sink^[2].

The transition to green steel and cement comes with significant economic considerations. Green steel currently carries a price premium, consistently tracking at an additional 20-40% over conventional steel^[14]. The cost of new technologies is a major factor; while traditional electric arc furnace steelmaking has energy costs of 15-20%, this could rise to over 40% for hydrogen-based DRI processes due to the energy-intensive nature of hydrogen production^[14]. For cement, using green hydrogen as a fuel source could nearly double production costs^[2]. In contrast, CCS is a more cost-effective decarbonization solution for many cement plants, increasing production costs by a more modest 10% in ideal scenarios where CO2 can be transported via pipeline^[2]. However, the cost of CCS can vary significantly, from 50 to 200 euros per ton of carbon, depending on the plant's location and the mode of transport^[2]. These projects require enormous capital investments, often without guaranteed short-term returns, making financial instruments like green bonds and sustainability-linked loans critical^[14].

Several pilot and commercial-scale projects are underway, signaling a tangible shift toward green production. In the steel sector, Swedish startup Stegra (formerly H2 Green Steel) is building an industrial-scale green steel plant that is on track to begin production in 2026^[5]. Another Swedish venture, Hybrit, is also constructing a plant using similar hydrogen-based technology^[5]. In the U.S., the Department of Energy (DOE) is investing up to $1.6 billion across six cement decarbonization projects as part of its Industrial Demonstrations Program^[17]. These include a project by Heidelberg Materials in Indiana to retrofit one of the largest U.S. cement plants with a CCS system capable of capturing up to 2 million tons of CO2 annually^[17]. Another awardee, the National Cement Company in California, plans to combine the use of biomass fuel, blended cement, and CCS to create a net-zero emissions facility by 2031^[17]. Startups are also advancing novel technologies; Sublime Systems is building a plant in Massachusetts to produce its electrochemical cement, while Brimstone is planning a facility to produce ordinary Portland cement from non-carbonate rock^[17].

Government policy is a critical lever for accelerating the decarbonization of heavy industry. Regulatory frameworks like the European Union's Green Deal and the U.S. Inflation Reduction Act are creating incentives for adopting low-carbon technologies^[9][15]. A key policy instrument is the EU’s Carbon Border Adjustment Mechanism (CBAM), which will protect low-emission producers from cheaper, high-carbon imports by placing a price on the carbon content of goods entering the EU^[14]. To further de-risk new technologies, the DOE has identified a need for at least 3-5 demonstrations of cement CCS plants by 2025^[10]. On the demand side, government procurement of low-carbon materials can create stable markets for green products^[17]. Policies that encourage performance-based specifications for concrete, rather than prescriptive chemical requirements, are also essential to allow for the use of innovative blended and novel cements^[10]. This shift in building codes and standards is crucial for enabling widespread adoption of these sustainable materials^[13].

A critical challenge to growing the bioeconomy is that the U.S. biomanufacturing workforce has not kept pace with the development of new bioproducts^[1]. However, this gap presents an opportunity to retrain workers from declining industries for new, stable careers^[2]. External training programs can help workers displaced from other sectors adapt their skills for a biomanufacturing setting^[2]. A successful example occurred in Massachusetts in 2015, when a semiconductor facility prepared to shut down, slating nearly 700 people to lose their jobs^[2]. The state's Department of Labor and Workforce Development partnered with Worcester Polytechnic Institute to develop a program to retrain these workers for the biomanufacturing industry^[2]. A common misconception is that all biomanufacturing jobs require advanced degrees, but many companies have been mistaken to require bachelor's degrees for entry-level positions^[3]. In reality, much of the work demands reliable people who are adept at hands-on tasks and can follow standard operating procedures, skills that do not necessitate a four-year degree^[3]. Community colleges are crucial in this transition, offering certificate and two-year degree programs that can help adult learners with no prior experience enter the field^[3]. Biomanufacturing hubs should therefore engage with community colleges and technical schools to develop training curricula and apprenticeship programs, creating pathways to good-paying jobs for individuals with high school or associate's degrees^[1].

Biomanufacturing offers a unique opportunity to repurpose the infrastructure of legacy industries, particularly in regions historically dependent on fossil fuels or traditional manufacturing^[1]. States whose economies were formerly dependent on oil and coal production can be bolstered by retooling and reskilling their existing facilities and workforce, leveraging a preexisting expertise in manufacturing to support new capabilities^[1]. A prime example of this is BHE Renewables' $500 million investment to retrofit an abandoned aluminum manufacturing plant in West Virginia into a new biomanufacturing site that runs on 100% renewable energy^[1]. This approach aligns with policy recommendations that encourage considering how existing infrastructure can be utilized to process and transport feedstock and products, which can reduce costs and environmental impact^[6]. By transforming old factories into modern synthetic biology plants, post-industrial cities can turn economic liabilities into assets, creating a sustainable commercial biomanufacturing ecosystem on the footprint of the old one^[1][6].

Several U.S. regions are already demonstrating how focused investment in biomanufacturing can spur economic revitalization. In states like West Virginia and Ohio, biomanufacturing is seen as a way to support economies formerly dependent on coal by retooling existing facilities and leveraging manufacturing expertise^[1]. The Appalachian Climate Technologies Initiative, along with a $500 million private investment to retrofit an abandoned aluminum plant, exemplifies this trend^[1]. In St. Louis, Missouri, state government, academia, and private industry have collaborated to create the St. Louis Tech Triangle, which integrates biosciences with advanced manufacturing and was awarded $25 million from the Department of Commerce to accelerate innovation^[1]. Similarly, the Economic Development Administration’s Tech Hubs program awarded $51 million each to Heartland BioWorks in Indiana and the iFAB Tech Hub in Illinois to expand biomanufacturing scale-up infrastructure^[6]. These hubs are projected to create thousands of jobs and generate billions in economic activity^[6]. New York City is also positioning itself as a leader with LifeSci NYC, a $1 billion initiative to fund lab space, workforce development, and new research^[1].

Strategic government policies are essential to fostering a vibrant domestic biomanufacturing ecosystem. A central recommendation is the establishment of biomanufacturing infrastructure hubs through public-private partnerships, catalyzed by federal investment on the order of $50 million per hub^[1]. These hubs would provide shared, scalable facilities to help companies overcome the bottleneck of moving from prototype to market-scale production^[1]. Another powerful policy tool is leveraging federal procurement to create market demand^[6]. The 'BioPreferred Program,' for instance, uses the government's purchasing power as a strong catalyst for innovation by requiring federal agencies to purchase biobased products^[9]. This can be enhanced with state-level tax rebates to encourage corporate procurement of local biobased products^[9]. Further recommendations include creating right-sized federal incentives for companies of all sizes and coordinating regional investments through programs like the EDA Tech Hubs and NSF Engines to maximize impact in both urban and rural communities^[6]. Ultimately, success depends on a three-way partnership among academia, government, and the bio-based industry to align workforce training, infrastructure development, and market creation^[3].