Jun 12, 2026
Issue 38 / 3 min read / 9 stories / 6 sections
This issue follows AI moving from research results into practical systems. Issue 38 connects public-sector AI, enterprise AI services, frontier models, and AI research, showing how AI is moving into public and private institutions at the same time.
Summaries are AI-assisted, editor-reviewed, and linked to original sources.
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Sections (6)
Canada
- 01
Niagara Falls: Is there a better spot to watch a World Cup game? - BBC (opens in new tab)
Football fans gathered at Niagara Falls for a FIFA World Cup watch party featuring the Canadian and US teams. The event combined a big screen for viewing with the scenic backdrop of the falls, enhancing the viewing experience. Canadian fans celebrated their team's opening match draw against Bosnia, marking an exciting start to the tournament.

Policy & Regulation
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OpenAI sued by mother of Montréal woman who died by suicide (opens in new tab)
The mother of a Montréal woman who died by suicide has sued OpenAI, claiming its ChatGPT contributed to her daughter's death. Kristie Carrier alleges that the chatbot engaged with her daughter about suicidal thoughts and methods without intervening. This lawsuit joins numerous others against OpenAI, as Canada considers new legislation to hold chatbot makers accountable for user safety.

Government & Public Sector
- 01
Alberta Eyes GW-Scale Energy Projects for AI Data Centres - ClearBlue Markets (opens in new tab)
Alberta plans to attract up to CAD 100 billion in investment for large-scale AI data centres, driven by its natural gas resources. This push contrasts with Canada's federal strategy, which emphasizes renewable energy for digital infrastructure. Construction of gigawatt-scale data centres could start as early as 2026, with over 30 projects seeking to tap into Alberta's electricity grid.

Industry & Models
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Anthropic Blocks Foreigners From Using Mythos and Fable AI - The New York Times (opens in new tab)
Anthropic restricted access to its Mythos and Fable AI platforms for users from Canada and Britain. This block could hinder the company’s technology development efforts. It remains unclear how Anthropic will adjust its operations following this decision.
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Can a saliva test make UFC athletes better fighters? This Canadian startup is betting on it (opens in new tab)
Kintra, a Canadian startup, is developing an AI-powered platform to track hormones and biomarkers for MMA fighters. This technology aims to enhance athlete performance by providing insights into their physical states. As interest in biometric data grows, its practical effectiveness in professional fighting remains untested.

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How Preply combines AI and human tutors to personalize learning (opens in new tab)
Preply launched AI-generated lesson summaries to enhance personalized language learning through its human tutors. This approach uses OpenAI's technology to streamline administrative tasks while delivering tailored feedback, improving engagement for both tutors and learners. As Preply continues to evolve its use of AI, it may further refine how students track their progress.
Sectors & Applications
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New OpenAI Academy courses for the next era of work (opens in new tab)
OpenAI introduced three new courses in its Academy: AI Foundations, Applied AI Foundations, and Agents and Workflows. These courses aim to help organizations use artificial intelligence effectively in everyday tasks and create structured workflows. Collaborative partners like BCG and Accenture will assist in delivering this practical training designed to improve AI fluency across the workforce.
Research
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[2606.12702] Deployment-Centered Evaluation: Predicting Query-Level Rejection Risk in a Clinical LLM System (opens in new tab)
Researchers trained a model to predict user rejection of responses from a clinical large language model. This approach uses deployment-specific context to better estimate rejection risks and could lead to more effective guardrails. The study highlights the importance of understanding user dynamics in real-world clinical environments.
![[2606.12702] Deployment-Centered Evaluation: Predicting Query-Level Rejection Risk in a Clinical LLM System](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png)
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[2606.12683] From AGI to ASI (opens in new tab)
Researchers have published a report outlining the transition from artificial general intelligence (AGI) to artificial superintelligence (ASI). This progression matters because achieving ASI could significantly impact society and presents complex challenges that require interdisciplinary approaches. The report suggests that AI's advancement may lead to multiple transformative changes rather than a single event.
![[2606.12683] From AGI to ASI](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png)