Tools & Platforms
Expanded AI training for teachers, funded by OpenAI and Microsoft
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More than 400,000 K-12 educators across the country will get free training in AI through a $23 million partnership between a major teachers union and leading tech companies that is designed to close gaps in the use of technology and provide a national model for AI-integrated curriculum.
The new National Academy for AI Instruction will be based in the downtown Manhattan headquarters of the United Federation of Teachers, the New York City affiliate of the American Federation of Teachers, and provide workshops, online courses, and hands-on training sessions. This hub-based model of teacher training was inspired by work of unions like the United Brotherhood of Carpenters that have created similar training centers with industry partners, according to AFT President Randi Weingarten.
“Teachers are facing huge challenges, which include navigating AI wisely, ethically and safely,” Weingarten said at a press conference Tuesday announcing the initiative. “The question was whether we would be chasing it or whether we would be trying to harness it.”
The initiative involves the AFT, UFT, OpenAI, Microsoft, and Anthropic.
The Trump administration has encouraged AI integration in the classroom. More than 50 companies have signed onto a White House pledge to provide grants, education materials, and technology to invest in AI education.
In the wake of federal funding cuts to public education and the impact of Trump’s sweeping tax and policy bill on schools, Weingarten sees this partnership with private tech companies as a crucial investment in teacher preparation.
“We are actually ensuring that kids have, that teachers have, what they need to deal with the economy of today and tomorrow,” Weingarten said.
The academy will be based in a city where the school system initially banned the use of AI in the classroom, claiming it would interfere with the development of critical thinking skills. A few months later, then-New York City schools Chancellor David Banks did an about-face, pledging to help schools smartly incorporate the technology. He said New York City schools would embrace the potential of AI to drive individualized learning. But concrete plans have been limited.
The AFT, meanwhile, has tried to position itself as a leader in the field. Last year, the union released its own guidelines for AI use in the classroom and funded pilot programs around the country.
Vincent Plato, New York City Public Schools K-8 educator and UFT Teacher Center director, said the advent of AI reminds him of when teachers first started using word processors.
“We are watching educators transform the way people use technology for work in real time, but with AI it’s on another unbelievable level because it’s just so much more powerful,” he said in a press release announcing the new partnership. “It can be a thought partner when they’re working by themselves, whether that’s late-night lesson planning, looking at student data or filing any types of reports — a tool that’s going to be transformative for teachers and students alike.”
Teachers who frequently use AI tools report saving 5.9 hours a week, according to a national survey conducted by the Walton Family Foundation in cooperation with Gallup. These tools are most likely to be used to support instructional planning, such as creating worksheets or modifying material to meet students’ needs. Half of the teachers surveyed stated that they believe AI will reduce teacher workloads.
“Teachers are not only gaining back valuable time, they are also reporting that AI is helping to strengthen the quality of their work,” Stephanie Marken, senior partner for U.S. research at Gallup, said in a press release. “However, a clear gap in AI adoption remains. Schools need to provide the tools, training, and support to make effective AI use possible for every teacher.”
While nearly half of school districts surveyed by the research corporation RAND have reported training teachers in utilizing AI-powered tools by fall 2024, high-poverty districts are still lagging behind their low poverty counterparts. District leaders across the nation report a scarcity of external experts and resources to provide quality AI training to teachers.
OpenAI, a founding partner of the National Academy for AI Instruction, will contribute $10 million over the next five years. The tech company will provide educators and course developers with technical support to integrate AI into classrooms as well as software applications to build custom, classroom-specific tools.
Tech companies would benefit from this partnership by “co-creating” and improving their products based on feedback and insights from educators, said Gerry Petrella, Microsoft general manager, U.S. public policy, who hopes the initiative will align the needs of educators with the work of developers.
In a sense, the teachers are training AI products just as much as they are being trained, according to Kathleen Day, a lecturer at Johns Hopkins Carey Business School. Day emphasized that through this partnership, AI companies would gain access to constant input from educators so they could continually strengthen their models and products.
“Who’s training who?” Day said. “They’re basically saying, we’ll show you how this technology works, and you tell us how you would use it. When you tell us how you would use it, that is a wealth of information.”
Many educators and policymakers are also concerned that introducing AI into the classroom could endanger student data and privacy. Racial bias in grading could also be reinforced by AI programs, according to research by The Learning Agency.
Additionally, Trevor Griffey, a lecturer in labor studies at the University of California Los Angeles, warned the New York Times that tech firms could use these deals to market AI tools to students and expand their customer base.
This initiative to expand AI access and training for educators was likened to New Deal efforts in the 1930s to expand equal access to electricity by Chris Lehane, OpenAI’s chief global affairs officer. By working with teachers and expanding AI training, Lehane hopes the initiative will “democratize” access to AI.
“There’s no better place to do that work than in the classroom,” he said at the Tuesday press conference.
Chalkbeat New York bureau chief Amy Zimmer contributed to this report.
Norah Rami is a Dow Jones education reporting intern on Chalkbeat’s national desk. Reach Norah at nrami@chalkbeat.org.
Tools & Platforms
China’s Baidu beefs up search engine amid new AI threats
Chinese Big Tech player Baidu (NASDAQ: BIDU) has announced upgrades to its search engine, adding new artificial intelligence (AI) functionalities into the service, its biggest improvement in over a decade.
According to a CNBC report, Baidu is opting to innovate its search engine to remain viable, as studies highlight a trend of users turning to AI-powered chatbots for answers.
Baidu’s latest changes to its core search product will allow users to enter over a thousand characters in the search box. Previously, users were limited to only 28 characters, reducing search precision and requiring keyword prioritization.
Going forward, users can conversationally ask questions on the search engine, akin to how they interact with chatbots. Furthermore, Baidu is improving its voice search and image prompts.
Lastly, Baidu’s biggest upgrade is the integration of its AI chatbot into the search product. The integration will allow users to use AI to generate text, images, and video on Baidu Search.
Morning Star strategist Kai Wang disclosed that the changes to the Search product are designed to mirror how consumers interact with mainstream AI products. Baidu’s search users have fallen, with several users opting for AI chatbots for their search requirements.
Baidu Search faces stiff competition from China-based AI heavyweights like DeepSeek and Tencent (NASDAQ: TCTZF). Furthermore, short video platforms are turning their gaze to AI Search, slashing off a significant chunk of Baidu’s market share.
Despite the new pressure on Baidu from its rivals, the company took the lead with AI back in 2023 with the release of its Ernie Bot chatbot. In less than six months, Baidu racked up 100 million Chinese users to lead its peers, announcing several AI products to maintain its headstart in the local scene.
However, new entrants are catching up with Baidu with their range of AI products. The stiff competition has sent Baidu stock inching up by only 2.5% since the start of the year, while AI heavyweights Alibaba (NASDAQ: BABA) and Tencent have gained 30.5% and 20% respectively in the same window.
Google racing to innovate Search
Outside of China, Google Search (NASDAQ: GOOGL) is also facing challenges driven by the rapid adoption of AI chatbots. To stay ahead of the curve with emerging technologies, Google has rolled out new AI policies for its Search product, presenting AI summaries for queries ahead of website links.
Furthermore, Google says it integrates its AI mode directly into Search, allowing users to improve their queries and get conversational responses. The U.S.-based search giant has unfurled its independent AI chatbots, providing stiff competition to traditional AI companies like OpenAI and Anthropic.
Beijing schools to integrate AI into learning curriculum
A new report has confirmed that primary and middle schools will adopt AI classes into their existing curriculum to keep up with digitization.
According to an official document released by the Beijing Education Commission, the AI classes will begin in September at the start of a new academic year. Dubbed the Curriculum Outline for Artificial Intelligence Education in Primary and Secondary Schools in Beijing, the report suggests that the new AI classes are a trial before a main rollout.
For each academic year, pupils across primary and middle school will have at least eight class hours on AI. Upon full rollout, there are suggestions that the number of hours may increase, matching the hours in secondary schools.
The curriculum will attempt to achieve three key objectives. The Beijing Education Commission will focus on AI awareness and cognitive abilities, AI applications and innovation capabilities, ethics, and social responsibility.
The new curriculum attempts to step up from basic IT knowledge to promote critical thinking skills in pupils. Furthermore, the report notes that AI skills will form part of the comprehensive assessments of Beijing students.
Schools in the capital city of China will be free to teach AI courses independently or merge them with other subjects. The report name-checks information technology, science, and emerging technologies as potential courses for schools to integrate with AI.
“We expect that under the new guidance, an integrated AI educational innovation scenario from primary schools to middle schools could be built, which will better help the education sector seize the opportunities brought by the AI technological reforms,” Li Yuxin, principal of Beijing Bright Horizon Foreign Language Primary School, said.
Pundits have hailed the curriculum for aligning with the goals of general AI education, given its tailor-made design for elementary students. In May, the Chinese Ministry of Education launched new guidelines for AI use in classrooms, prohibiting students from submitting AI-generated text as their original work.
AI to become mainstay in global classrooms
Across several jurisdictions, regulators are bracing for the adoption of AI tools in classrooms. Technology firms are leading the charge via launching innovative products for students and teachers, with Khanmigo and Speechify emerging as frontrunners.
However, Japan’s regulators are limiting the use via key guardrails, including age restrictions and a blanket ban against their use in examinations. The United Nations also urges tighter AI restrictions in schools, citing a raft of ethical considerations, including age restrictions and the emotional well-being of younger students.
In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership—allowing it to keep data safe while also guaranteeing the immutability of data. Check out CoinGeek’s coverage on this emerging tech to learn more why Enterprise blockchain will be the backbone of AI.
Watch: AI is for ‘augmenting’ not replacing the workforce
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Tools & Platforms
Tech firms up ante on open-source AI models
Chinese companies are doubling down on open-source artificial intelligence-powered models as part of a broader push to bring fast-evolving AI technology to more businesses and developers worldwide, and bolster its application in a diverse range of fields.
Experts said the open-source approach will lower the threshold for the development and application of AI, greatly reduce computing power costs, and foster the sharing of AI tech around the world, as well as boost collaboration and innovation.
The recent progress in open-source large language models has showcased China”s growing technological prowess and open attitude in the AI domain, given that Chinese AI startup DeepSeek’s open-source models have taken the world by surprise, they added.
Tech heavyweight Alibaba Group has stepped up efforts to enable broad access to its AI technology and innovations by releasing large language models from its Qwen family as open-source, and boasting China’s largest AI open-source community platform, ModelScope.
The company has made more than 200 generative AI models open-source in recent years. The models have multimodal capacities and can process and generate various types of content, covering text, images, audio and video.
ModelScope, which was launched in November 2022, hosts over 70,000 open-source models, and the user base has expanded from 1 million in April 2023 to 16 million as of June 30, serving 16 million developers from 36 countries around the world.
It supports developers in experiencing, downloading, fine-tuning, training and deploying models. Various types of open-source AI models have been included in the community.
“We aim to simplify and reduce the cost of developing, customizing and deploying AI models for developers and corporations, thereby enabling the creation of revolutionary AI applications that have a positive impact on society,” said Zhou Jingren, chief technology officer at Alibaba Cloud Intelligence, emphasizing they are committed to making AI models more accessible and easier to use.
Baidu Inc has recently open-sourced its multimodal LLM Ernie 4.5 series, consisting of 10 distinct variants. The model family includes mixture-of-experts (MoE) models with 47 billion and 3 billion parameters, the largest model having 424 billion parameters, alongside a 0.3 billion dense model. The Ernie 4.5, launched in March, is Baidu’s multimodal foundational model.
The company said the MoE architecture has the advantages of enhanced multimodal understanding and improved performance on text-related tasks. All models are trained with optimal efficiency using the PaddlePaddle deep learning framework, which enables highper-formance inference and streamlined deployment.
Experimental results show that the models achieve state-of-the-art performance across multiple text and multimodal benchmarks, particularly in instruction following, knowledge memorization, visual understanding and multimodal reasoning.
Zhu Keli, founding director of the China Institute of New Economy, said the open-source approach adopted by a string of Chinese AI companies will lower the technical threshold, speed up the popularization of AI tech across various sectors including automobiles, manufacturing, finance and education, and allow more enterprises and developers to participate in AI research and development.
Zhu believes technological innovation is unstoppable, and international cooperation serves as an important way to promote the development of AI tech, adding that China’s open and inclusive attitude helps promote the advancement of the global AI industry.
“Open source will allow resource-constrained startups, small businesses and entrepreneurial developers to access cutting-edge AI tech and build their own models more cost-effectively,” said Pan Helin, a member of the Expert Committee for Information and Communication Economy, which is part of the Ministry of Industry and Information Technology.
Pan said it will accelerate AI technological advancements and breakthroughs by enabling global developers to create customized industry-specific models, and foster a more competitive and diverse AI ecosystem.
Chinese AI companies have the ability to take the lead in global AI innovation, as they have sought an alternative AI development approach that emphasizes efficiency and open-source collaboration — which is different from their US counterparts — while reshaping the global AI landscape, Pan added.
The market size of the nation’s AI sector will reach 1.73 trillion yuan ($241.2 billion) by 2035, accounting for 30.6 percent of the global total, said market research firm CCID Consulting.
Tools & Platforms
Stallion Uranium enters agreement to use AI tech to enhance exploration
To enhance its uranium exploration in the Athabasca Basin, Stallion Uranium (TSX-V: STUD; OTCQB: STLNF) has partnered with Matthew J. Mason, enabling it to access proprietary technology for advanced data analysis. This agreement allows Stallion Uranium to utilize Haystack’s AI-driven geological targeting system. By integrating this platform, Stallion Uranium sharpens its precision in identifying targets and lowers the risks associated with exploration. It actively applies this technology to uncover previously undetected opportunities and optimize the value of its uranium holdings.
Haystack, headquartered in Vancouver, BC, provides an innovative mineral exploration platform called Matchstick TI, which operates with AI. Their predictive technology employs a proprietary algorithm developed over a decade in Cambridge, UK. By combining theoretical physics, data science, and pattern recognition, Matchstick TI achieves a 77% accuracy rate in predicting target locations using public data. This technology accelerates discoveries and minimizes financial risks.
Stallion Uranium plans to use this technology to confirm and define additional targets across its 1,700 sq km land position. Its team collaborates with leading data science and geoscience experts to ensure a thorough and innovative approach to target selection, positioning the company as a leader in technological advances within uranium exploration.
Matthew Schwab, CEO of Stallion Uranium, said: “The application of machine learning in mineral exploration is transforming the industry, and we are excited to integrate this powerful tool into our exploration strategy. By deploying advanced analytics, we aim to enhance our ability to identify high-priority targets, reduce exploration risk, and maximize the potential of our uranium assets.”
For more information visit www.StallionUranium.com.
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