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"What do today's AI-generated lesson plans look like? AI-generated lesson plans are already better than many people realise. Here's an example generated through the GPT-3 deep learning language model:"

"A source told Reuters that OpenAI has tested a model internally that achieved a 90 percent score on a challenging test of AI math skills, though it again couldn't confirm if this was related to project Strawberry. But another two sources reported seeing demos from the Q* project that involved models solving math and science questions that would be beyond today's leading commercial AIs."

"In one activity, my students drafted a paragraph in class, fed their work to ChatGPT with a revision prompt, and then compared the output with their original writing. However, these types of comparative analyses failed because most of my students were not developed enough as writers to analyze the subtleties of meaning or evaluate style. "It makes my writing look fancy," one PhD student protested when I pointed to weaknesses in AI-revised text. My students also relied heavily on AI-powered paraphrasing tools such as Quillbot. Paraphrasing well, like drafting original research, is a process of deepening understanding. Recent high-profile examples of "duplicative language" are a reminder that paraphrasing is hard work. It is not surprising, then, that many students are tempted by AI-powered paraphrasing tools. These technologies, however, often result in inconsistent writing style, do not always help students avoid plagiarism, and allow the writer to gloss over understanding. Online paraphrasing tools are useful only when students have already developed a deep knowledge of the craft of writing."

"Renée: What I find most alarming is that people have the ability to just create reality by making something trend, to reinforce over and over and over again these conspiracy theories. You do have this increasingly divergent set of realities where there's a deep conviction built up over many, many years of reinforcing the same tropes and stories. You can't just correct that with a fact check."

"In 2021, Mr Kono had "declared war" on floppy disks. On Wednesday, almost three years later, he announced: "We have won the war on floppy disks!" Mr Kono has made it his goal to eliminate old technology since he was appointed to the job. He had earlier also said he would "get rid of the fax machine". Once seen as a tech powerhouse, Japan has in recent years lagged in the global wave of digital transformation because of a deep resistance to change. For instance, workplaces have continued to favour fax machines over emails - earlier plans to remove these machines from government offices were scrapped because of pushback."

"Cancer diagnosis and management depend upon the extraction of complex information from microscopy images by pathologists, which requires time-consuming expert interpretation prone to human bias. Supervised deep learning approaches have proven powerful, but are inherently limited by the cost and quality of annotations used for training. Therefore, we present Histomorphological Phenotype Learning, a self-supervised methodology requiring no labels and operating via the automatic discovery of discriminatory features in image tiles. Tiles are grouped into morphologically similar clusters which constitute an atlas of histomorphological phenotypes (HP-Atlas), revealing trajectories from benign to malignant tissue via inflammatory and reactive phenotypes. These clusters have distinct features which can be identified using orthogonal methods, linking histologic, molecular and clinical phenotypes. Applied to lung cancer, we show that they align closely with patient survival, with histopathologically recognised tumor types and growth patterns, and with transcriptomic measures of immunophenotype. These properties are maintained in a multi-cancer study."

In today's interconnected digital world, AI plays a pivotal role in both spreading and combating misinformation. It is revolutionizing the way information is created and disseminated, particularly in discussions about migration. On one side, generative AI (genAI) technologies can be weaponized to produce and spread disinformation rapidly. False statistics, sensational narratives and deep-seated stereotypes can take root in public discourse, influencing perceptions and policies.

"This is a broader pattern we're seeing across other fields where LLMs are being deployed. Whether it's coding, writing, design, law, or medicine, the most effective AI users are people who already have deep domain expertise. Expertise isn't obsolete; it's more important than ever-because the value isn't just in producing outputs quickly. It's in being able to vet, steer, and improve those outputs. The future of computer science education isn't about teaching less. It's about teaching differently. We still need students who can understand how software works at a fundamental level. But we also need to train them to collaborate with AI-to become fluent in prompting, reviewing, debugging, and refining AI-generated outputs. Mastering this hybrid skillset will be critical not just for engineers, but for anyone hoping to thrive in a world where knowledge work is increasingly AI-augmented. Practically speaking, AI could dramatically lower the barrier to entry for students. When I was in high school, it would take months (if not years) of training in CS before you could create a game or app that was genuinely cool to people that aren't inherently curious and nerdy."

"Not everyone is excited for the change. Publishers are completely freaked out. The shift has heightened fears of a "zero-click" future, where search referral traffic-a mainstay of the web since before Google existed-vanishes from the scene.  I got a vision of that future last June, when I got a push alert from the Perplexity app on my phone. Perplexity is a startup trying to reinvent web search. But in addition to delivering deep answers to queries, it will create entire articles about the news of the day, cobbled together by AI from different sources. "

"The performance of LipNet compares incredibly favorably to human lipreading experts on GRID corpus, the largest publicly-available sentence-level lipreading dataset. In fact, where human experts got just 52 percent, LipNet scored 93 percent. Its sentence-based approach to lip-reading also smashed the best previous attempt by a machine, which managed 79.6 percent accuracy on the same dataset."

Perriwinkle - get this it should be fab for your portfolio....

"America's National Security Agency gathers unfathomable mountains of Internet communications from fiber optic taps and other means, but it says it only retains and searches the communications of "targeted" individuals who've done something suspicious. Guess what? If you read Boing Boing, you've been targeted."

"Hassabis was a child chess prodigy, who learned the game aged four and was able to beat his dad three weeks later - indeed, when he started playing competitively he was so small he had to bring a pillow with him to reach the board - and became a strong player. Yet in AlphaZero's case there was no human input, other than telling it the rules of each game. "In a matter of a few hours it was superhuman," Hassabis says proudly."

""This study shows that if this algorithm were in place earlier, some materials could have conceivably been discovered years in advance," Jain said."

"A natural alternative to symbolic AI came to prominence: Instead of modeling high-level reasoning processes, why not instead model the brain? After all, brains are the only things that we know for certain can produce intelligent behavior. Why not start with them?"

"The gulf between how well facial recognition performs in academic settings vs. real world applications is vast."

"The difference between skimming and reading with all our intelligence is the difference between fully activated reading brains and their short-circuited, screen-dulled versions."

"The CEO of OpenAI, the company responsible for creating artificial intelligence chatbot ChatGPT and image generator Dall-E 2, said "regulation of AI is essential" as he testified in his first appearance in front of the US Congress. The apocalypse isn't coming. We must resist cynicism and fear about AI Stephen Marche Stephen Marche Read more Speaking to the Senate judiciary committee on Tuesday, Sam Altman said he supported regulatory guardrails for the technology that would enable the benefits of artificial intelligence while minimizing the harms. "We think that regulatory intervention by governments will be critical to mitigate the risks of increasingly powerful models," Altman said in his prepared remarks."