ChatGPT has 900 million weekly users, which means employees already know how to work with it. For enterprises, that reduces rollout friction and accelerates the point where every employee can delegate tedious tasks.
ChatGPT的9亿周活跃用户为企业AI采用提供了独特优势，消除了用户培训的障碍。这一惊人的用户基础表明，消费级AI应用已经培养了庞大的AI熟练劳动力，这将显著降低企业AI转型的实施成本和时间，加速AI在工作场所的普及。
Codex just hit 3 million weekly active users, our APIs process more than 15 billion tokens per minute, and GPT‑5.4 is driving record engagement across agentic workflows.
这些惊人的使用指标展示了AI技术在实际应用中的大规模采用。特别是每分钟处理150亿个token的能力，反映了企业对AI处理能力的巨大需求，以及AI已经从实验阶段进入实际工作流程的临界点。
ChatGPT has 900 million weekly users, which means employees already know how to work with it. For enterprises, that reduces rollout friction and accelerates the point where every employee can delegate tedious tasks and take on more ambitious projects.
令人惊讶的是：ChatGPT拥有9亿周活跃用户，这意味着大多数员工已经熟悉如何使用AI工具。这一庞大的用户基础大大降低了企业AI部署的阻力，使员工能够更快地将繁琐任务委托给AI，从而专注于更具挑战性的项目。
White-collar workers are quietly rebelling against AI as 80% outright refuse adoption mandates
这一惊人数据揭示了白领工作者对AI技术的强烈抵抗，表明技术采用率与高管预期之间存在巨大鸿沟。这种集体反抗可能预示着AI在工作场所的实施面临根本性挑战，而非简单的技术适应问题。
A new global survey of 3,750 executives and employees across 14 countries, conducted by SAP subsidiary WalkMe for its fifth annual State of Digital Adoption report, finds that more 54% of workers bypassed their company's AI tools in the past 30 days and completed the work manually instead.
令人惊讶的是：超过一半的员工宁愿手动完成工作也不使用公司提供的AI工具，这一现象表明AI技术在实际应用中遇到了重大阻力。这不仅仅是技术问题，更是工作习惯和组织文化的深层次冲突。
While most people still use AI mainly for personal tasks, about half of employed users use it at least as much for work. This share is even higher among those with paid tools, particularly when provided by employers.
这一数据点揭示了AI在工作场所采用的分水岭性质——虽然个人使用仍占主导，但工作使用已经达到相当比例。更值得注意的是，雇主提供的付费工具显著提高了工作使用率，这表明组织因素在AI采用中扮演着关键角色。这一趋势可能加速AI在工作场所的整合，并改变未来工作性质。
Microsoft Copilot, which leads paid AI usage among both work-oriented and personal-oriented users, illustrates this dynamic: its prevalence likely reflects bundling with Microsoft 365, a product widely deployed in workplaces through enterprise licensing.
微软Copilot的普及展示了企业捆绑策略如何推动AI工具在职场中的采用。这一洞察揭示了技术采用不仅关乎技术本身，还与商业生态系统和现有企业软件的整合密切相关。这表明AI工具的成功可能更多地依赖于与现有工作流程的无缝集成，而非独立功能。
Among employed AI users, 38% of free-tier users reported using AI at least as much for work as for personal tasks. The share rises to 58% among self-paying subscribers and 76% among users with employer-provided subscriptions.
付费模式对AI工作使用的影响显著，尤其是雇主提供的订阅大幅提高了工作使用率。这一发现暗示AI在企业环境中的采用可能受到经济模式的强烈影响，而不仅仅是技术能力的推动。这表明AI工具的定价策略可能成为工作场所采用的关键因素。
Half of employed Americans who used AI in the past week reported using AI tools at least as much for work as for personal tasks.
这一发现揭示了AI在工作场所的快速普及，表明AI已经从个人工具转变为工作工具，这种转变速度令人惊讶。这一数据点对理解AI的经济影响至关重要，因为它表明AI正在重塑工作流程，而非仅停留在个人使用层面。
76% among users with employer-provided subscriptions. As we would expect, paid access, especially when provided by employers, is associated with more intensive workplace use.
令人惊讶的是：由雇主提供付费AI工具的用户中，高达76%在工作场所使用AI，远高于免费用户的38%，这表明企业付费模式极大加速了AI在工作中的采用，反映了组织决策对技术采用的关键影响。
Among employed Americans who used AI in the past week, half reported using AI at least as much for work as for personal tasks
令人惊讶的是：近一半的美国在职AI用户在工作中使用AI的频率与个人使用相当或更高，这表明AI已经从个人工具迅速转变为职场主流工具，这一转变速度远超许多人预期。
This level of penetration in such a short period of time is remarkable since Fortune 500 enterprises are not known to be early adopters of technology. Historically, many startups had to initially sell to other startups to get early momentum, and it was only after a few years that a startup would be able to land its first enterprise contract.
AI技术在财富500强企业中的快速采用打破了传统技术采用模式，这一现象揭示了AI可能正在重塑企业创新和采用技术的决策机制。大企业通常不是早期技术采用者，但AI却能在短时间内获得广泛采用，这可能意味着企业对AI的价值认知和风险接受度发生了根本性变化。
**Coding, support, and search**represent the lion's share of use cases by far (with coding being an order-of-magnitude outlier even among this set), while the**tech, legal, and healthcare sectors** have been the industries most eager to adopt AI.
AI在企业中的采用呈现出明显的行业和应用场景集中现象。编程辅助工具以数量级优势领先，这反映了AI在结构化、可验证任务上的卓越表现。同时，法律和医疗等传统上技术采用较慢的行业也表现出对AI的强烈兴趣，表明AI正在改变不同行业的技术采用模式。
Based on our analysis, **29% of the Fortune 500 and ~19% of the Global 2000**are live, paying customers of a leading AI startup.
这一数据揭示了企业AI采用率远高于公众认知，颠覆了传统技术采用模式。财富500强中近三分之一的企业已经实际部署AI应用，这一惊人的采用速度表明AI技术正在以前所未有的速度渗透传统企业，打破了企业技术采用通常需要数年才能达到大规模采用的规律。
Legal was surprisingly one of the first-mover industries in AI. Legal was historically known to be a difficult market for software, with lengthy timelines and a less tech-forward buyer.
令人惊讶的是：法律行业，这个历史上以采用新技术缓慢著称的领域，竟然成为AI的早期采用者之一。AI能够处理密集文本、推理大量信息并总结和起草回应，这些能力恰好满足了律师的日常工作需求，使得法律行业在AI应用上实现了惊人的转型。
Based on our analysis, **29% of the Fortune 500 and ~19% of the Global 2000**are live, paying customers of a leading AI startup.
令人惊讶的是：在短短三年多时间里，近三分之一的财富500强企业和五分之一的世界2000强企业已经成为AI初创公司的付费客户。这一采用速度远超传统技术，打破了大型企业历来是技术采用落后者的刻板印象，展示了AI在企业中的惊人渗透速度。
Let that sink in.
令人惊讶的是：作者用短短三个词强调了这一变化的巨大影响。这种简洁而有力的表达方式反映了科技行业对AI代理快速渗透的震惊和深思，暗示这可能是一个转折点。
Visa has deployed a validator node on the Tempo blockchain, designed specifically for Agent-to-Agent payments
令人惊讶的是：作为全球最大的支付公司之一，Visa竟然专门为Agent-to-Agent(代理对代理)支付部署验证器节点，这表明传统金融巨头正在积极布局AI代理经济的基础设施，而不仅仅是面向消费者的支付服务。
公司也优先把资源砸在能直接产生商业价值的 B2B 场景
令人惊讶的是：尽管公众关注AI在消费领域的应用，但企业资源实际上主要集中在B2B场景。这种资源分配差异加剧了普通用户与专业用户之间的AI认知鸿沟，因为大多数人接触不到最先进的AI商业应用。
The share of U.S. adults who used Claude in the past week rose from 3.0% in early March to 4.3% in early April 2026
令人惊讶的是：Claude的用户比例从3%增长到4.3%，看似微小但实际增长率超过40%。这种看似微小的增长在AI工具使用率上却具有统计显著性，反映了AI市场细分的微妙变化。
We present a comprehensive adoption snapshot of the leading open language models and who is building them
令人惊讶的是：这篇报告提供了约1500个主流开源语言模型的全面采用情况快照，并详细记录了这些模型的开发者和构建者。这种规模的数据收集和分析工作展示了开源AI生态系统的庞杂性和多样性，远比公众通常意识到的更为复杂。
They intentionally deploy two or three AI tools for the same use case. Not because of indecision—but by design. Redundancy is policy.
令人惊讶的是：大型金融机构故意为同一用途部署多个AI工具，这并非犹豫不决而是刻意为之。这种冗余策略反映了企业对AI应用成熟度的谨慎态度，以及对单一供应商依赖风险的担忧。这种做法与传统的效率至上的商业逻辑形成鲜明对比，展示了企业在关键业务流程中采取的'防御性多元化'策略。
Agents gain credibility by doing. The fastest way to get other people to trust and use your Plus One is to have it execute tasks in public.
令人惊讶的是：AI助手的可信度建立方式与传统认知相反 - 它们通过公开执行任务来获得信任，而不是通过解释或理论证明。这一发现揭示了AI助手采用过程中的关键心理机制，表明实际演示比理论说明更能说服人们接受AI助手。
Anthropic says Managed Agents is designed to cut the time it takes to move from prototype to production from months to days, with early adopters like Notion, Rakuten, Asana, Vibecode, and Sentry already using it across coding, productivity, and internal workflow automation.
将AI原型到生产的时间从几个月缩短到几天是一个惊人的加速，这将彻底改变企业采用AI的方式。这种快速部署能力可能加速AI在各行业的普及，但也带来了关于AI系统安全性和治理的紧迫问题，企业需要在快速采用和确保安全之间找到平衡。
because coding has a tight human-in-the-loop workflow, with developers still overseeing the development process today, these tools enable accelerated output while still making space for human judgment to review, edit, and iterate.
「人在环路」是编程 AI 爆发的关键因素，而非阻碍。这个洞见颠覆了常见的「人机协作摩擦论」：恰恰是因为开发者需要审查代码，AI 生成的错误有人把关，企业才愿意大规模部署。这说明 AI 在「可验证 + 人类兜底」的领域最容易突破——其他领域想复制这个成功模式，需要先建立同等的验证机制。
29% of the Fortune 500 and ~19% of the Global 2000 are live, paying customers of a leading AI startup.
令人震惊的渗透率：三年内，近三分之一的财富 500 强已经是 AI 创业公司的付费客户——而且是真实部署、而非试点。这打脸了 MIT「95% AI 试点失败」的结论。更值得注意的是「qualify」的定义：必须签署顶层合同、完成试点转化、在组织内上线。这三个条件滤掉了大量「假采用」，说明这 29% 是真金白银的生产级部署。
The United States — the country that produced most of these products — ranks 20th.
一个极具反讽意味的数据：AI 技术的主要创造者，反而不是最热情的采用者。新加坡、阿联酋等小国人均采用率更高，可能因为更年轻的人口结构、更高的数字基础设施渗透率。这提醒我们：技术起源地不等于技术普及地，创新扩散有其独特路径，早期优势可能被后来者超越。
in 2024, 47% of AI solutions were built internally and 53% were purchased; today, 76% of all AI is purchased rather than developed in-house.
大多数人认为企业会越来越倾向于自主开发AI模型以保持竞争优势和控制权，但数据显示相反趋势——企业正加速转向购买第三方AI解决方案。这种转变表明企业可能更看重快速部署而非技术专长，但也可能导致组织失去对AI核心能力的理解和优化能力。
in 2024, 47% of AI solutions were built internally and 53% were purchased; today, 76% of all AI is purchased rather than developed in-house.
大多数人认为企业会越来越倾向于自主开发AI模型以保持竞争优势和控制权，但数据显示企业正迅速转向购买第三方AI解决方案。这一趋势与主流认知相悖，表明企业可能更看重快速部署和成本效益而非技术自主性。
Within three to four months, you can run a model with similar performance on your laptop; 23 months later, you can run the same model on your phone.
大多数人认为前沿AI技术需要很长时间才能普及到消费级设备，但作者认为前沿模型只需3-4个月就能在笔记本上运行，23个月就能在手机上实现，这种技术下放的速度远超行业普遍预期。
Teams at companies like Notion, Ramp, Braintrust, and Wasmer are already using Codex to accelerate their engineering workflows.
大多数人可能认为AI编程工具主要被大型科技公司采用，但作者认为即使是像Notion、Ramp这样的非传统科技公司也在将Codex整合到其核心工程工作流中，这挑战了人们对AI编程工具采用者类型的传统认知，表明其适用范围比预期更广泛。
Within ChatGPT Business and Enterprise, the number of Codex users has grown 6x since January.
大多数人可能认为企业AI工具的采用是渐进式的，但作者认为Codex在企业环境中的采用呈爆炸性增长(6倍增长)，这表明AI编程助手可能比预期更快地从实验性工具转变为生产力核心，挑战了人们对AI技术企业采用速度的常规认知。
over 500 business customers were each spending over $1 million on an annualized basis. Today that number exceeds 1,000, doubling in less than two months.
大多数人对AI企业客户的采用速度持保守态度，但Anthropic的高价值客户数量在短短两个月内翻倍，表明企业对AI的采用速度和投资规模远超行业预期，挑战了AI企业市场缓慢发展的普遍认知。
You must replace that fear based architecture with the Kingdom OS. In this system, your identity is completely secure and decoupled from your corporate output.
The structural mechanics of the Kingdom rely heavily on the principle of Huiothesia (the Greek concept of adoption and placement as a recognised heir). In a secular corporate architecture, your foundation is entirely load-bearing upon your daily output—a highly unstable structure vulnerable to immediate collapse upon failure. Under the mechanics of Huiothesia, your foundational identity is a permanently established legal and spiritual reality, engineered entirely independent of your professional performance. This decoupling provides the ultimate structural stability, permanently neutralising the friction of workplace anxiety.
Figure 3: Decrease in Perceived Fiscal Benefits of Microcredentials by Year
Perception vs Reality disconnect. Why? My guess is huge gaps in understanding of the Fundamentals.
disorientation (an essential stage of learning)
n:: also important in transition / adaptation Vgl adopting new tool. Disorientation is not bc 'the tool is bad' it's bc you are learning #blogdit
Silicon Valley has not demonstrated joined-up thinking for deploying AI.
insular again, in a different way
This turns out to be the big unlock: the latest coding agents against the ~November 2025 frontier models are remarkably effective if you can give them an existing test suite to work against. I call these conformance suites and I’ve started deliberately looking out for them—so far I’ve had success with the html5lib tests, the MicroQuickJS test suite and a not-yet-released project against the comprehensive WebAssembly spec/test collection. If you’re introducing a new protocol or even a new programming language to the world in 2026 I strongly recommend including a language-agnostic conformance suite as part of your project. I’ve seen plenty of hand-wringing that the need to be included in LLM training data means new technologies will struggle to gain adoption. My hope is that the conformance suite approach can help mitigate that problem and make it easier for new ideas of that shape to gain traction.
conformance suites. potential way to introduce new tech and see it adopted despite it not being in llm training data by def.
Ignác Semmelweis in 1847 argued for hand washing in maternity wards by doctors, and published a book about it. Was ridiculed for it and died 1865 as an outcast in an asylum. Only the later emergence of germ theory provided a theoretical basis for the empirical observations of Semmelweis. 'Semmelweis-moment' where someone who is right is laughed out of the room.
PHP/MySQL is losing adoption
states the AMP stack is losing adoption. Any numbers to find?
The new litmus test isn’t “Does it scale?” It’s: “Does it spread? Does it take root? Can it compost and regrow?”
very much yes. Scaling is useless metaphor. Spread, evolution much more. Effective behaviour is contagious. Invisible hand of networks / communities [[Of Scaling TV Salons and the Invisible Hand of Networks – Interdependent Thoughts 20250803205329]]
Digital badges play a growing role in workforce development by enabling employers and higher education institutions to collaborate on defining badge criteria for skill verification and competency-based hiring.
Missed opportunities: collaborate to define criteria for skill and competency verification.
despite all of this news experts say this change needs to happen much faster because we don't know exactly when we will cross these climate tipping points
for - renewable energy adoption - fast but not fast enough
Solar adoption in Africa skyrocketed between June 2024 and 2025.
for - stats - solar adoption between June 2024 and 2025 rose 60%
But won’t this stifle innovation, one might worry? Quite the opposite, we think. Europe's competitive advantage in AI is unlikely to arise from pouring hundreds of billions into building the largest foundational models. Instead, it will come from industrial adoption, effectively integrating GPAI into useful downstream applications–an approach that plays to Europe’s true strengths: rich data pools, world-class applied engineering capabilities and dynamic SMEs, which make up 99% of all businesses.
This is an interesting angle - ease of adoption when the tech is "boring", and reduced risk
A TRUSTworthy repository needs to focus on serving its target user community. Each user community likely has differing expectations from their community repositories, depending in part on the community’s maturity regarding data management and sharing. A TRUSTworthy repository is embedded in its target user community’s data practices, and so can respond to evolving community requirements
TRSP Desirable Characteristics
TRUSTworthy repositories take responsibility for the stewardship of their data holdings and for serving their user community.
TRSP Desirable Characteristics
TRSP Desirable Characteristics Data governance should take into account the potential future use and future harm based on ethical frameworks grounded in the values and principles of the relevant Indigenous community. Metadata should acknowledge the provenance and purpose and any limitations or obligations in secondary use inclusive of issues of consent.
TRSP Desirable Characteristics Ethical processes address imbalances in power, resources, and how these affect the expression of Indigenous rights and human rights. Ethical processes must include representation from relevant Indigenous communities
TRSP Desirable Characteristics Ethical data are data that do not stigmatise or portray Indigenous Peoples, cultures, or knowledges in terms of deficit. Ethical data are collected and used in ways that align with Indigenous ethical frameworks and with rights affirmed in UNDRIP. Assessing ethical benefits and harms should be done from the perspective of the Indigenous Peoples, nations, or communities to whom the data relate
TRSP Desirable Characteristics Resources must be provided to generate data grounded in the languages, worldviews, and lived experiences (including values and principles) of Indigenous Peoples.
TRSP Desirable Characteristics Use of Indigenous data invokes a reciprocal responsibility to enhance data literacy within Indigenous communities and to support the development of an Indigenous data workforce and digital infrastructure to enable the creation, collection, management, security, governance, and application of data
TRSP Desirable Characteristics Indigenous Peoples have the right to develop cultural governance protocols for Indigenous data and be active leaders in the stewardship of, and access to, Indigenous data especially in the context of Indigenous Knowledge
TRSP Desirable Characteristics Indigenous Peoples have the right to data that are relevant to their world views and empower self-determination and effective self-governance. Indigenous data must be made available and accessible to Indigenous nations and communities in order to support Indigenous governance.
TRSP Desirable Characteristics Indigenous Peoples have rights and interests in both Indigenous Knowledge and Indigenous data. Indigenous Peoples have collective and individual rights to free, prior, and informed consent in the collection and use of such data, including the development of data policies and protocols for collection.
TRSP Desirable Characteristics Indigenous data are grounded in community values, which extend to society at large. Any value created from Indigenous data should benefit Indigenous communities in an equitable manner and contribute to Indigenous aspirations for wellbeing.
TRSP Desirable Characteristics Data enrich the planning, implementation, and evaluation processes that support the service and policy needs of Indigenous communities. Data also enable better engagement between citizens, institutions, and governments to improve decision-making. Ethical use of open data has the capacity to improve transparency and decision-making by providing Indigenous nations and communities with a better understanding of their peoples, territories, and resources. It similarly can provide greater insight into third-party policies and programs affecting Indigenous Peoples.
TRSP Desirable Characteristics Governments and institutions must actively support the use and reuse of data by Indigenous nations and communities by facilitating the establishment of the foundations for Indigenous innovation, value generation, and the promotion of local self-determined development processes
TRSP Desirable Characteristics Indigenous Peoples’ rights and wellbeing should be the primary concern.
TRSP Desirable Characteristics Data ecosystems shall be designed and function in ways that enable Indigenous Peoples to derive benefit from the data.
TRSP Desirable Characteristics Indigenous Peoples’ rights and interests in Indigenous data must be recognised and their authority to control such data be empowered. Indigenous data governance enables Indigenous Peoples and governing bodies to determine how Indigenous Peoples, as well as Indigenous lands, territories, resources, knowledges and geographical indicators, are represented and identified within data.
TRSP Desirable Characteristics Those working with Indigenous data have a responsibility to share how those data are used to support Indigenous Peoples’ self determination and collective benefit. Accountability requires meaningful and openly available evidence of these efforts and the benefits accruing to Indigenous Peoples.
According to Denning (2019), in organizations that are accustomed to more hierar-chical management approaches, Agile transformation will include radical changes inthe power structure, attitudes, values, and ways of interacting with stakeholders suchas customers, employees, shareholders, and partners
Although agile approaches to project management were originally developed for use bysmall software development teams, agile methods quickly began to be used by entiredepartment processes and, in some cases, to the entire organization.
When an Article or Book has been written, it must betype-written before it is sent to the Editor or Publisher,that is to say, unless it has been ordered beforehand orunless you are well known. The reason is not simplythat Type-writing looks better than ordinary writing,and that it is easier to read, but it actually is a fact thatfew Editors or Publishers will read anything that is notType- written.
Even as early as 1905 (or 1899 if we go by the dating of the introduction), typewritten manuscripts were de rigueur for submission to editors and publishers.
Type-writing (see p. 369) is becoming more and morecommonly used, and for certain purposes it is indispen-s
Note that he's writing in 1899 (via the introduction), and certainly not later than 1905 (publication date).
World Economic Forum, we're working very closely. They're also integrating planetary boundaries in, their global economy kind of policy agenda
for - World economic forum - integration planetary boundaries into their strategy
Concern - unintended consequence - The WEF is perceived by many to be an elitist organisation - who do not have the best interest off the people in mind - This could lead to potential reputational damage to the planetary boundary framework thru their association with it
111,873,374 matrix IDs on the public network, spanning 17,289,201 rooms, spread over 64,256 servers
Automobile and Carriage Builders' Journal, October 1908. Duringthe last five or six years the carriage builder has been adopting,perhaps slowly, and often unwillingly, the card system in his office.,owing to the extra detail the motor business has brought with it.It will have probably been introduced by a new partner who hasbrought new money into the business, when extra funds were necessaryto cope with the new state of affairs. The motor manufacturer usesit instinctively, for he brings with him,
as a rule, the law, order, and precision of an engineer's office.
There's an interesting dichotomy presented here about the tech forwardness of the automobile industry in 1908 versus the tech reticence of the carriage builders in regard to adopting card indexes with respect to their related (though different) industries.
Me (sarcastically):<br /> "Oh, those backwards carriage builders will get with the 'program' any day now..."
Playbooks have had over 14,000 views by over 6,000 users since published.
Evidence of proliferation
Recruited 30 new members to the Network to engage in planning and implementation of incremental credentials. Among those are state systems of Hawai'i, Minnesota, the University of Texas, and the City University of New York (CUNY) System; and 24 public and private colleges and universities across 22 states.
Proliferation of HE commitment, including state systems.
but from previous experiences like this, the feature set has to be robust at the start or I think adoption will suffer.
To use open infrastructure consistent with your organization’s values.
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how do you ever migrate from a tricycle to a bicycle because a bicycle is very unnatural and very hard to learn compared to a tricycle, and yet in society it has superseded all the tricycles for people over five years old.
The simple idea that new systems are harder than old even if they're better because they are new and people have to put more effort into using them.
What I feel it's really important is the idea that the measure of a good system isn't only how easy it is to learn, if we only evaluate systems by their learning curve we'll be face with only being able to advance society at the speed of the slower adopter. Therefore we need to * Segment and dream about the future * Be mindful of the gap between where we are and where the vision is pushing towards since there has to be a common point that collectively moves us forwards
The progress and impact of the project will be measured and monitored through the collection ofquantitative indicators. The different systems of the project partners as well as ORCID Inc. andROR will be queried. If possible, indicators for all 10 PID use cases should be measured. Theseinclude for example the following indicators:● Number of registered DataCite DOIs by scientific institutions in Germany.● Number of registered DataCite-DOIs that have a link to further resources via arelated-IDentifier relationship.● Number of ROR implementations at scientific institutions in Germany.● Number of GND records that have an ORCID iD or a ROR ID.● Etc.
PID Use Cases
Generalist repositorie
Refinements themselves present a significant hurdle to adoption by virtue of their limitations and overall introduction of conceptual complexity. So it’s a tough sell to recommend this for anything outside of personal projects or places with incredibly strong esoteric Ruby knowledge (like, say, hidden away within Rails).
Via Stephen Downes https://www.downes.ca/post/75035
uncle’s heir
How did they know about 3 years they weren't going to have a child? what if they had? What would have happened to Frank??
This echoes Austen's own brother Edward's adoption by wealthy relatives, he took their name when they died and he inheirited.
There may be echoes of Fanny Price too, she's "adopted" by the Bertram's in Mansfield Park.
This indicates that the practise was likely widespread
The template for what personal computing could become was really obvious by the end of the 1970s. If you look at Engelbart, it was obvious in 1968. But it did take quite a while for the computer chips to be powerful enough and inexpensive enough to make the kinds of things that billions of people use today.
Ideas ahead of their time in the mainstream (not in the niches). Compare to Lernout and Hauspie wrt early natural language processing 1987-1998 and GPT-3 now.
he market is already highly centralized.
I find the narrative around success of NFTs/DAOs as being decentralized solutions, when in reality, I believe most people think of centralization as the key to long-term success and getting to the next level of adoption.
Four Steps To Help Achieve COVID-19 Vaccine Adoption: How Health Professionals Can Embrace Their Role As Messengers | Health Affairs Blog. (n.d.). Retrieved May 28, 2021, from https://www.healthaffairs.org/do/10.1377/hblog20210121.500910/full/
CoVaxxy. (n.d.). Retrieved 29 July 2021, from https://osome.iu.edu/tools/covaxxy
Luisa: Yes. There came a point. We were in the [Pause] process of getting our permanent residency card in order to be able to go to school, and the lawyer let my mother know that me and my sister—my other sister—were not going to make it because once you hit eighteen, you're no longer under the case that you originally filed, so the best option for us would be adoption. We would be adopted by an American citizen in order to get our American status fixed, and that was something my mom and I contemplated for a long, long time, and she was going to go through with it, but my dad put a huge stop to that and was like, "That's not happening. You're stupid. That's not a thing. These are my kids. You're not letting that happen."Luisa: It was going to be a family member, not a close family member, but these were the lengths that you go through to try to get through this. I didn't have a normal childhood. I never got to learn to drive. I didn't go to drivers ed. I didn't get to travel with my best friend to DisneyLand because my mom was so scared of—
Time in the US, Jobs/Employment/Work, Documents, Driver's License
Yes. There came a point. We were in the [Pause] process of getting our permanent residency card in order to be able to go to school, and the lawyer let my mother know that me and my sister—my other sister—were not going to make it because once you hit eighteen, you're no longer under the case that you originally filed, so the best option for us would be adoption. We would be adopted by an American citizen in order to get our American status fixed, and that was something my mom and I contemplated for a long, long time, and she was going to go through with it, but my dad put a huge stop to that and was like, "That's not happening. You're stupid. That's not a thing. These are my kids. You're not letting that happen."
Eligibility - permanent residency - adoption
Chavarria-Miró, G., Anfruns-Estrada, E., Guix, S., Paraira, M., Galofré, B., Sáanchez, G., Pintó, R., & Bosch, A. (2020). Sentinel surveillance of SARS-CoV-2 in wastewater anticipates the occurrence of COVID-19 cases. MedRxiv, 2020.06.13.20129627. https://doi.org/10.1101/2020.06.13.20129627
It is very important that "production ready" UI libraries are available because otherwise the use of Svelte cannot be argued. A key point would be to make it easy possible that people can contribute
I am testament to the fact that some of the technology can be used in a fairly careless fashion.
IZA – Institute of Labor Economics. ‘COVID-19 and the Labor Market’. Accessed 6 October 2020. https://covid-19.iza.org/publications/dp13696/.
Barceló, J., & Sheen, G. (2020). Voluntary adoption of social welfare-enhancing behavior: Mask-wearing in Spain during the COVID-19 outbreak. https://doi.org/10.31235/osf.io/6m85q
Were Urban Cowboys Enough to Control COVID-19? Local Shelter-In-Place Orders and Coronavirus Case Growth. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 4, 2020, from https://covid-19.iza.org/publications/dp13262/
Morgan, L., Protopopova, A., Birkler, R. I. D., Itin-Shwartz, B., Sutton, G. A., gamliel, alexandra, Yakobson, B., & Raz, T. (2020). Human-dog relationships during COVID-19 pandemic; booming dog adoption during social isolation [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/s9k4y
Zastrow, M. (2020). Coronavirus contact-tracing apps: Can they slow the spread of COVID-19? Nature. https://doi.org/10.1038/d41586-020-01514-2
Goldberg, M., Gustafson, A., Maibach, E., Ballew, M. T., Bergquist, P., Kotcher, J., … Leiserowitz, A. (2020, April 20). Mask-wearing increases after a government recommendation: A natural experiment in the U.S. during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/uc8nz
Th ough cautions are oft en expressed [e.g., Plomin, DeFries, McClearn, & Rutter, 1997], the fact that reported biological mothers-adopted children correlations are higher than adoptive mothers-adopted children correlations has had a big impact in psychology and on theories of development. Most usually, the correlations have been computed into heritability
This does suggest some of the supposed heritability is actually prenatal environment (or some other analogous factor). It's also possible that e.g. mitochondrial DNA plays a bigger role than previously recognized, much how thyroid status is the #1 predictor of mental retardation. Perhaps IVF will shed further light on the issue.
The average IQs of adopted children in lower and higher socioeconomic status (SES) families were 85 (SD = 17) and 98 (SD = 14.6), respectively, at adolescence (mean age = 13.5 years)
I'm looking for the smallest standard deviation in an adopted sample to compare the average difference to that of identical twins. This study suggests that the SD in adoption is identical to the SD in the general population. This supports the idea that lower SD in adopted identical twins is entirely down to genes (or, in principal, prenatal environment).
Note that this comment is referring to this Reddit inquiry.
Minnesota Transracial Adoption Study
This is a study begun in the 1970s of African American, interracial, and other minority group children who had been adopted by White families in Minnesota. The 1976 results indicated large IQ boosts (about 12 points) for adopted African American children at age 6, compared to the average IQ for African Americans in general. However, the 1992 report shows that the advantage had faded to about 6 points when the children were aged 17 years. Generally, intelligence experts see this landmark study as supporting both "nature" and "nurture."
Factors influencing teachers’ adoption and integration of information and communication technology into teaching: A review of the literature
This article is a review of literature regarding what influences teachers to adopt and integrate information and communication technology (ICT) in the classroom. This discussion takes into consideration age, gender, prior exposure to technology, and teacher attitudes. Further consideration is given to institutional support, technical support, available professional development, and access to both hardware and software. The conclusion is that there are numerous levels of support that are required to make technology support and training available to educators.
RATING: 7/10
Leapfrogging in developing countries
I think this concept cannot be applied to a developing country. A society who never made the experience and the learning path of how the technology was made and conceived. Because I found that certain technologies as are mentioned in this paragraph never rech the level of functionality like in developed countries. The reason is always something, soon or later, will went wrong and nobody will knows how to fix the problem. Then locals have to call a foreign engineer to look what the problem is. And then the parent company never send the best professional to the locals in order to see what the problem is. Then there are other problems like cultural communication between foreign engineer and local engineer and the problem enters in a vicious cycle of "We did all what we could". The other problems are these technologies are seen and transferred out of its system without the corresponding social captial and its value chain constructed.
Not only is the notion that OER-sustainability is the responsibility of the end-user pragmatically unnecessary, it also places barriers to adoption that will inhibit rather than encourage future use.
This is certainly true. It reminds me of the early historical growth of the Catholic church. Paul of Tarses came in and relaxed the dietary restrictions and the need for circumcision which effectively lowered the barrier for entry into the church. One needn't be a Jew to be a follower of Jesus; this helped early growth tremendously.
Center of Excellence
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mandate the use of "learning management systems."
Therein lies the rub. Mandated systems are a radically different thing from “systems which are available for use”. This quote from the aforelinked IHE piece is quite telling:
“I want somebody to fight!” Crouch said. “These things are not cheap -- 300 grand or something like that? ... I want people to want it! When you’re trying to buy something, you want them to work at it!”
In the end, it’s about “procurement”, which is quite different from “adoption” which is itself quite different from “appropriation”.
lleged techn o - educational innovation is generally little more than a manifestation of the divergent interests of the stakeholders involved, with any convergence rarely linked to teaching or learning
convergent interests of stakeholders does not amount to innovation teaching and learning
why, despite all the material and human resources invested by major academic institutions, do these widespread IT systems do not bring generally speaking any great educational value, and fall even shorter from bringing the much expected innovation to learning?
Is all ict investment directed at producing innovation in learning? What kinds of innovation are expected?
“ Whatever happened to Instructional Technology? ”. With this publication , he highlighted a nd attempted to explain the persistent failure of ICT to penetrate the world of higher education, despite several decades of effort and massive inve stment (Geoghegan, 1994)
This may situate the problem quite deeply in the history of educational ict and support claims relating to the persistence of this problem in the face of numerous interventions.
Journals and sponsors want you to share your data
What is the sharing standard? What are the consequences of not sharing? What is the enforcement mechanism?
There are three primary sharing mechanisms I can think of today: email, usb stick, and dropbox (née ftp).
The dropbox option is supplanting ftp which comes from another era, but still satisfies an important niche for larger data sets and/or higher-volume or anonymous traffic.
Dropbox, email and usb are all easily accessible parts of the day-to-day consumer workflow; they are all trivial to set up without institutional support or, importantly, permission.
An email account is already provisioned by default for everyone or, if the institutional email offerings are not sufficient, a person may easily set up a 3rd-party email account with no permission or hassle.
Data management alternatives to these three options will have slow or no adoption until the barriers to access and use are as low as email; the cost of entry needs to be no more than *a web browser, an email address, and no special permission required".