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US teachers union teams up with giants

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This illustration picture shows icons of Google’s AI (Artificial Intelligence) app BardAI (or ChatBot) (C-L), OpenAI’s app ChatGPT (C-R), and other AI apps on a smartphone screen in Oslo, on July 12, 2023. (Photo by OLIVIER MORIN / AFP)

NEW YORK, United States — The second biggest teachers union in the United States unveiled a groundbreaking partnership Tuesday with AI powerhouses Microsoft, OpenAI, and Anthropic to develop a comprehensive training program helping educators master artificial intelligence.

“Teachers are facing huge challenges, which include navigating AI wisely, ethically and safely,” said Randi Weingarten, president of the American Federation of Teachers during a press conference in New York.

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“In the absence of rules of the game and guardrails (from the US government)…we are working with these partners so that they understand the commitment we have to our students,” she added.

The AFT represents 1.8 million members across the United States, from kindergarten through high school.

The announcement came as generative AI has already begun reshaping education, with students using tools like ChatGPT for everything from essay writing to homework help.

Meanwhile, teachers grapple with questions about academic integrity, plagiarism, and how to adapt traditional teaching methods.

The AI giants are investing a total of $23 million in creating a New York training center to guide teachers through generative AI learning.

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Microsoft is contributing $12.5 million, OpenAI $10 million, and Anthropic $500,000.

The five-year initiative won’t develop new AI interfaces but intends to familiarize teachers with existing tools.

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“What we’re saying to the world and to teachers across the country is you now have a place, you now have a home, a place where you can come and co-create and understand how to harness this tool to make your classroom the best classroom it possibly can be,” said Gerry Petrella, Microsoft’s general manager for US public policy.

The National Academy for AI Teaching will launch its training program this fall, aiming to serve 400,000 people over five years.

Microsoft staff are already participating in a tech refresher session this week.

AFT affiliates include the United Federation of Teachers (UFT), which represents about 200,000 New York teachers.

UFT President Michael Mulgrew drew parallels between AI and social media, which generated excitement at launch but proved to be “a dumpster fire,” in his view.



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“We’re all very skeptical, but we also are very hopeful,” he added.





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AI Research

Artificial intelligence is a commodity, but understanding is a superpower

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July 9, 2025

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As a developer and a human being, you want to push yourself as much as possible to incorporate the intention of things into your practice. By insisting on understanding a project’s intention and uniting it with your own understanding of the particulars of implementation, you become far more valuable. AI then makes it easier to magnify your intentions into automated activity.

We can speculate that AI will get better at this middle ground in the future, but it will never actually have intention. It will only ever move under human direction. Resist becoming just a connector or interpreter of intention to implementation. Keep on working to develop and contribute your own unique understanding. Implementation can be automated, but the unique qualities of understanding cannot.

Why LLMs will not replace higher-level languages

If you follow the hype cycle, it might seem that AI’s ability to mass produce code to meet requirements makes understanding the intention of that code less important. I’d say it makes it less necessary up front. There may even come a time when AI’s natural language interface is something like what fourth-generation languages are today. I can see a possible future where languages like JavaScript and Python are a layer below the AI interface, akin to how C is today. But if that is the analogy we’re using, then it seems clear we will always need people who deeply understand that layer, just as today we still need people who understand C, assembly machine code, and chip wafers.



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LG AI Research Institute has released a new model of Exemplary Pass, a precision medical artificial ..

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July 9, 2025

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LG AI Research Institute has released a new model of Exemplary Pass, a precision medical artificial intelligence (AI) model.

On the 9th, LG AI Research Institute unveiled ‘EXAONE Path 2.0’, a next-generation precision medical AI model.

Bio is one of the ABCs (AI, Bio, and Clean Tech) that LG Group Chairman Koo Kwang-mo cited as a future growth engine. Exempathy 2.0 is expected to play an important role in the group’s growth strategy.

Exempathy 2.0 is an upgrade of the 1.0 model released in January last year and the 1.5 model released last month, and has learned much higher quality data than the existing model. Pathologic tissue images (WSI) can precisely analyze and predict genetic variation and expression form, microscopic changes in human cells and tissues, and structural features.

Exemplary Pass 2.0 learned multiomics information such as DNA and RNA containing WSI and genetic information together. WSI is a high-resolution digital image taken during the pathologic diagnosis process of observing a patient’s tissue sample under a microscope. However, if AI simply analyzes this, there is a high possibility that a “characteristic collapse phenomenon” will occur, which will lead to poor prediction accuracy.

Exemplary Pass 2.0 applied a new technology that learns from small units to WSI, increasing the accuracy of predicting genetic mutations to 78.4%, the world’s highest level.

In addition, gene activity can be predicted only by image analysis without expensive dielectric tests.

Park Yong-min, leader of the AI business team at LG AI Research Institute, said, “If Exemplar Pass 2.0 is used, the genetic test time that took more than two weeks can be shortened to less than a minute, helping to secure golden time for treatment of cancer patients. If doctors and pharmaceutical companies use Exemplar Pass 2.0, they can identify target treatments in a short time.” The LG AI Research Institute also released additional models specializing in specific diseases such as lung and colon cancer.

LG AI Research Institute also announced a plan to cooperate with Vanderbilt University Medical Center in the United States. It is joined by a research team led by Korean scholar Hwang Tae-hyun, who leads the stomach cancer project of Cancer Moonshot, a cancer conquest project led by the U.S. government. Professor Hwang said, “Our goal is to create an AI platform that can help medical staff treat and treat patients in the actual medical field. The AI platform will not be just a diagnostic tool, but a game changer that innovates the entire process of new drug development.”

Starting with the field of cancer, LG AI Research Institute and Professor Hwang’s research team plan to expand the scope of research to rejection of transplants, immunology, and diabetes in the future. LG AI Research Institute is planning to introduce Exemite Pass 2.0 at the ‘LG AI Talk Concert 2025’ on the 22nd.

[Reporter Lee Deok-ju]



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LG AI Research launches upgraded AI model Exaone Path 2.0 to improve cancer diagnosis, treatment options

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July 9, 2025

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Bae Kyung-hoon, head of LG AI Research, speaks at a conference held at LG Science Park in Magok-dong, western Seoul, on July 19, 2023. [LG]

 
LG AI Research on Wednesday unveiled Exaone Path 2.0, its upgraded artificial intelligence (AI) model designed to enhance cancer diagnosis and drug development. The move aligns with LG Group Chairman Koo Kwang-mo’s vision of making AI and biotechnology core growth engines.
 
Exaone Path 2.0 learns from higher-quality data than the 1.0 version, which was launched in August last year, according to LG AI Research.
 
It can precisely analyze and predict not only genetic mutations and expression patterns but also subtle changes in human cells and tissues. The institute says this could enable earlier detection of cancers, forecast disease progression and support new drug discovery and personalized treatments.
 
A key breakthrough comes from new technology that trains the AI not only on small pathology image patches but also on whole-slide imaging. This pushed genetic mutation prediction accuracy to a globally leading level of 78.4 percent.
 
LG AI Research expects it will help secure the critical “golden hour” for cancer patients by cutting gene test times from over two weeks to under a minute. The institute also unveiled models tailored to specific diseases, including lung and colorectal cancers.
 

Dr. Hwang Tae-hyun, an expert in AI-driven research in precision oncology, immuno-oncology, cellular therapy and 3D/4D molecular modeling, is a professor at Vanderbilt University Medical Center. [LG]

Dr. Hwang Tae-hyun, an expert in AI-driven research in precision oncology, immuno-oncology, cellular therapy and 3D/4D molecular modeling, is a professor at Vanderbilt University Medical Center. [LG]

 
LG is bolstering this initiative through a partnership with Dr. Hwang Tae-hyun at Vanderbilt University Medical Center, a leading expert in biomedicine. Hwang, a prominent Korean scientist, heads a U.S. government-backed “Cancer Moonshot” project targeting gastric cancer. 
 
LG AI Research and Hwang’s team plan to jointly build a multimodal medical AI platform that utilizes real clinical tissue samples, pathology images and treatment data from cancer patients in clinical trials. They believe this will usher in an era of personalized, precision medicine.
 
Their collaboration also underscores Chairman Koo’s push to position AI and bio as technologies that transform customers’ lives. LG AI Research and Hwang’s team see this platform as the world’s first attempt to implement clinical AI in this way.
 
Starting with oncology, the team will expand into transplant rejection, immunology and diabetes research.
 
“Our goal isn’t just to develop another AI model. We want to create a platform that actually helps doctors treat patients in real clinical settings,” Hwang said. “This won’t just be a diagnostic tool — it has the potential to become a game changer that transforms the entire process of drug development.”
 

Performance level of LG AI Research's precision medical AI model EXAONE Path 2.0 [LG]

Performance level of LG AI Research’s precision medical AI model EXAONE Path 2.0 [LG]

Translated from the JoongAng Ilbo using generative AI and edited by Korea JoongAng Daily staff.
BY NA SANG-HYEON [[email protected]]





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