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Anthropic's new AI model turns to blackmail when engineers try to take it offline | TechCrunch
Anthropic's new AI model turns to blackmail when engineers try to take it offline | TechCrunch
Anthropic says its Claude Opus 4 model frequently tries to blackmail software engineers when they try to take it offline.
In these scenarios, Anthropic says Claude Opus 4 “will often attempt to blackmail the engineer by threatening to reveal the affair if the replacement goes through.”
·techcrunch.com·
Anthropic's new AI model turns to blackmail when engineers try to take it offline | TechCrunch
TeachAI | AI in Education Presentation
TeachAI | AI in Education Presentation
The customizable AI in Education slide deck provides key messages, current statistics, and essential background on the implications of AI in education. It is designed for teachers, educational leaders, policymakers, and consultants. The deck is fully customizable and can be adapted for various purposes, including leading professional learning, preparing talking points, or delivering presentations on teaching with and about AI.
·teachai.org·
TeachAI | AI in Education Presentation
Introducing Manus image generation
Introducing Manus image generation
Manus doesn’t just generate images. It understands your intent, plans a solution, and knows how to effectively use image generation along with other tools to accomplish your task.
·youtube.com·
Introducing Manus image generation
Teaching AI Ethics 2025: Environment
Teaching AI Ethics 2025: Environment
This article, part of a series updating "Teaching AI Ethics," explores the environmental impact of artificial intelligence, particularly generative AI. It emphasizes the need for transparency in AI's energy usage, highlights the resource-intensive nature of training and using AI models, and prompts educational discussions on sustainable technology practices.
EnglishIn the English curriculum, students critically evaluate texts, perspectives, and themes, making it an ideal space to explore environmental narratives and “greenwashing” in media. Students can analyse persuasive or expository texts on digital sustainability, asking “Is this tech company truly ‘green’?”, “How do tech advertisements use environmental language to mislead?”, or “What narratives are missing in the conversation about e-waste?” These lend themselves well to persuasive writing, media analysis, or debates on digital environmental responsibility.Science (Environmental Science / Earth & Space Science)Science courses frequently focus on sustainability, ecosystems, and the impact of human activity on the planet. This aligns naturally with questions such as “What is the carbon footprint of cloud computing?”, “How do server farms affect local ecosystems?”, or “Can digital technology help monitor and mitigate climate change?” Students can conduct research projects comparing environmental costs and benefits of digital solutions or use data sets to model pollution caused by e-waste.Digital Technologies / Computer ScienceDigital Technologies curricula (including the Australian, UK, and US) explicitly include sustainability and environmental impact. Students might examine “How energy-efficient is the code we write?”, “What happens to old hardware when we upgrade?”, or “Can we design low-impact apps or systems?” Projects could include building sustainable tech prototypes, auditing energy use in computing, or exploring circular design principles in software and hardware development.GeographyGeography investigates human-environment interactions and is a great context for studying digital technologies’ ecological footprints. Students could ask, “Where do raw materials for smartphones come from?”, “How does digital infrastructure affect urban and rural land use?”, or “What role do satellites and GIS play in environmental monitoring?” Case studies on mining for rare earth elements, digital deserts, or tech-fuelled deforestation would deepen geographical inquiry skills.Design and TechnologiesThis subject encourages students to design solutions with awareness of social and environmental sustainability. Key teaching questions include “How can we reduce the lifecycle impact of tech products?”, “What is eco-design in the context of digital devices?”, or “How can we apply the principles of ‘cradle-to-cradle’ or closed-loop design to electronics?” Students might engage in sustainable redesign challenges or audit the energy use of different design tools.Civics and CitizenshipAs students examine democratic responsibility, rights, and participation, they can explore digital environmental justice: “Who bears the environmental burden of digital consumption?”, “Should governments regulate e-waste exports?”, or “What policies support equitable access to green technologies?” These topics are excellent for role-play debates, policy pitches, or mock UN climate tech summits.Mathematics (Statistics & Data)In mathematics, students interpret data and trends, opening up questions like “How much CO2 is generated by a Google search?”, “What do energy use graphs of tech companies reveal?”, or “How can we model the global growth of e-waste?” Students could analyse real-world datasets on energy consumption, digital product lifecycles, or climate projections influenced by digital tools.Visual Arts / Media ArtsVisual Arts and Media Arts students often explore themes of communication, critique, and message. Prompts might include “How can digital art raise awareness of e-waste or tech pollution?”, “What does digital decay or “digital plastic” look like?”, or “Can we create installations from recycled AI output?” Students could design visual campaigns, create artworks from obsolete tech, or critically assess how digital art platforms contribute to or challenge environmental issues.Theory of Knowledge (IB)In TOK, students explore how knowledge is constructed and evaluated, making it fertile ground for questions like “How does digital surveillance impact the environment and our understanding of ethical responsibility?”, or “Do we have a moral obligation to consider the environmental cost of digital knowledge systems?” These are excellent for essays, presentations, and cross-disciplinary inquiry.
·leonfurze.com·
Teaching AI Ethics 2025: Environment
Sesame
Sesame
We believe in a future where computers are lifelike. Where they can see, hear, and collaborate with us – as we do with each other. With this vision, we're designing a new kind of computer.
·sesame.com·
Sesame
(1) Post | LinkedIn
(1) Post | LinkedIn
Ever asked your GenAI to make a worksheet and thought, “This looks fine”? Now ask yourself: 🤔 Can a student with dyslexia access it? 🤔 Can a learner using a screen reader make sense of it? 🤔 What about a child who reads slowly or needs visual scaffolds? Most AI-generated content isn’t designed for everyone because it is a product of its training data. Statistically it has a likely 'default' or 'norm'. This means that 'standard' prompts often lead to outputs that: ➡️ Use dense, unchunked text ➡️ Have no alt-text, headings or visual cues ➡️ Assume fluent reading, writing, and motor skills ➡️ Lack any option for audio, simplified text, or multiple formats And that’s accessibility bias. It closes doors for learners. It gatekeeps learning. This is Post 1 in my new series: “10 Types of Bias in AI-Generated Content: A Practical Guide for Teachers and Educators.” Attached you can see my guide to accessible prompting. In the downloadable guide, you’ll get: ✔️ Real examples of biased prompts and revised, inclusive alternatives ✔️ Statutory links (SEND Code, Equality Act, WCAG 2.1) ✔️ A bias-mitigating “super prompt” ✔️ A customisable template prompt for use in any subject or age group Have a read through, check out my shared chats, or skip straight to the 'super-prompts' at the end and try it yourself. Let's fight that bias any way we can and let me know any aspects that work well for your learners. What do you think? Al Kingsley MBE Prof Miles Berry Tina Austin Darren Coxon Chris Goodall Arafeh Karimi Tim Dasey Matthew Wemyss Maria Rossini Dan Fitzpatrick Sam Canning-Kaplan Mark Anderson FCCT Tom Moseley James Bedford SFHEA Rachel Kent ChatGPT for Education | 34 comments on LinkedIn
·linkedin.com·
(1) Post | LinkedIn
Performing AI literacy
Performing AI literacy
Photo by Jess Bailey on Unsplash A new international test of young people’s “AI literacy” has been announced by the OECD. Providing a global measurement of the competencies to engage with AI, the t…
·codeactsineducation.wordpress.com·
Performing AI literacy
Sam Altman says how people use ChatGPT reflects their age – and college students are relying on it to make ‘life decisions’
Sam Altman says how people use ChatGPT reflects their age – and college students are relying on it to make ‘life decisions’
An AI reliance?
There's this other thing where they don't really make life decisions without asking ChatGPT what they should do. It has the full context on every person in their life and what they've talked about."
·techradar.com·
Sam Altman says how people use ChatGPT reflects their age – and college students are relying on it to make ‘life decisions’
Spotify’s DJ Now Takes Requests, Enhancing Real-Time Music Discovery — Spotify
Spotify’s DJ Now Takes Requests, Enhancing Real-Time Music Discovery — Spotify
People all over the world love DJ. At the gym, at home, whenever and wherever you want a deeper experience with great music, DJ is the answer. In fact, DJ listener engagement has nearly doubled over the past year—it’s like having a personal musical friend who just gets you. We also know that listeners have...
·newsroom.spotify.com·
Spotify’s DJ Now Takes Requests, Enhancing Real-Time Music Discovery — Spotify
Podcasting in Elementary School
Podcasting in Elementary School
Podcasts can be powerful tools for elementary school students to express their thoughts and opinions while exploring new ideas.
·edutopia.org·
Podcasting in Elementary School
AI Shows Racial Bias When Grading Essays — and Can’t Tell Good Writing From Bad
AI Shows Racial Bias When Grading Essays — and Can’t Tell Good Writing From Bad
Smith: Study finds ChatGPT replicates human prejudices and fails to recognize exceptional work — reinforcing the inequalities it's intended to fix.
That’s why schools and educators must carefully consider when and how to utilize AI for scoring. Rather than replacing grading, they could provide feedback on grammar or paragraph structure while leaving the final assessment to the teacher.
·the74million.org·
AI Shows Racial Bias When Grading Essays — and Can’t Tell Good Writing From Bad
Essay challenge: ChatGPT vs students
Essay challenge: ChatGPT vs students
Researchers have been putting ChatGPT essays to the test against real students. A new study reveals that the AI generated essays don't yet live up to the efforts of real students. While the AI essays were found to be impressively coherent and grammatically sound, they fell short in one crucial area -- they lacked a personal touch. It is hoped that the findings could help educators spot cheating in schools, colleges and universities worldwide by recognizing machine-generated essays.
·sciencedaily.com·
Essay challenge: ChatGPT vs students
Perspective | Halfway there
Perspective | Halfway there
Teaching students to read the words on the page is only half the battle. Students must also comprehend what they are reading.
·ednc.org·
Perspective | Halfway there