Europe

The 2025 Global Skills Report [Coursera]

On 06/04/2025, in Artificial Intelligence/Agents/LLMs/and Related, Asia, business, career development, colleges, community colleges, competency-based learning/education, corporate / business world, credentialing, curriculum, emerging technologies, Europe, expectations, faculty/staff, future, game-changing environment, higher education, human-computer interaction (HCI), innovation, instructional design, intelligent systems, IT in HE, learning ecosystem, legislatures / government / legal, microlearning, real-world assignments, society, staying relevant, strategy, student-related, teaching & learning, training / L&D, trends, United States, universities, vendors, workplace, by Daniel Christian

The 2025 Global Skills Report— from coursera.org
Discover in-demand skills and credentials trends across 100+ countries and six regions to deliver impactful industry-aligned learning programs.

GenAI adoption fuels global skill demands
In 2023, early adopters flocked to GenAI, with approximately one person per minute enrolling in a GenAI course on Coursera —a rate that rose to eight per minute in 2024. Since then, GenAI has continued to see exceptional growth, with global enrollment in GenAI courses surging 195% year-over-year—maintaining its position as one of the most rapidly growing skill domains on our platform. To date, Coursera has recorded over 8 million GenAI enrollments, with 12 learners per minute signing up for GenAI content in 2025 across our catalog of nearly 700 GenAI courses.

Driving this surge, 94% of employers say they’re likely to hire candidates with GenAI credentials, while 75% prefer hiring less-experienced candidates with GenAI skills over more experienced ones without these capabilities.8 Demand for roles such as AI and Machine Learning Specialists is projected to grow by up to 40% in the next four years.9 Mastering AI fundamentals—from prompt engineering to large language model (LLM) applications—is essential to remaining competitive in today’s rapidly evolving economy.

Countries leading our new AI Maturity Index— which highlights regions best equipped to harness AI innovation and translate skills into real-world applications—include global frontrunners such as Singapore, Switzerland, and the United States.

Insights in action

Businesses
Integrate role-specific GenAI modules into employee development programs, enabling teams to leverage AI for efficiency and innovation.

Governments
Scale GenAI literacy initiatives—especially in emerging economies—to address talent shortages and foster human-machine capabilities needed to future-proof digital jobs.

Higher education
Embed credit-eligible GenAI learning into curricula, ensuring graduates enter the workforce job-ready.

Learners
Focus on GenAI courses offering real-world projects (e.g., prompt engineering) that help build skills for in-demand roles.

The heavens declare the glory of God.

On 05/22/2025, in art, Asia, Australia, creativity, digital photography, Emotion, Europe, global / globalization, photography, United States, by Daniel Christian

The heavens declare the glory of God.https://t.co/Zy5ZYkMiAL

— Daniel S. Christian (@dchristian5) May 20, 2025

Excerpt:

Bob Ambrogi posts several solid items re: legaltech & legal education

On 04/17/2025, in Access to Justice (A2J), Artificial Intelligence/Agents/LLMs/and Related, collaboration, Europe, innovation, intelligent systems, law schools, legal reform, legal technologies, legislatures / government / legal, research, United States, user experience (UX), vendors, by Daniel Christian

Thomson Reuters Survey: Over 95% of Legal Professionals Expect Gen AI to Become Central to Workflow Within Five Year — from lawnext.com by Bob Ambrogi

Thomson Reuters today released its 2025 Generative AI in Professional Services Report, and it reveals that legal professionals have become increasingly optimistic about generative AI, with adoption rates nearly doubling over the past year and a growing belief that the technology should be incorporated into legal work.

According to the report, 26% of legal organizations are now actively using gen AI, up from 14% in 2024. While only 15% of law firm respondents say gen AI is currently central to their workflow, a striking 78% believe it will become central within the next five years.

AI-Powered Legal Work Redefined: Libra Launches Major Update for Legal Professionals — from lawnext.com by Bob Ambrogi

Berlin, April 14, 2025 – Berlin-based Legal Tech startup Libra is launching its most comprehensive update to date, leveraging AI to relieve law firms and legal departments of routine tasks, accelerate research, and improve team collaboration. “Libra v2” combines highly developed AI, a modern user interface, and practical tools to set a new standard for efficient and precise work in all legal areas.

“We listened intently to feedback from law firms and in-house teams,” said Viktor von Essen, founder of Libra. “The result is Libra v2: an AI solution that intelligently supports every step of daily legal work – from initial research to final contract review. We want legal experts to be able to fully concentrate on what is essential: excellent legal advice.”

The Three Cs of Teaching Technology to Law Students — from lawnext.com by Bob Ambrogi

In law practice today, technology is no longer optional — it’s essential. As practicing attorneys increasingly rely on technology tools to serve clients, conduct research, manage documents and streamline workflows, the question is often debated: Are law schools adequately preparing students for this reality?

Unfortunately, for the majority of law schools, the answer is no. But that only begs the question: What should they be doing?

A coincidence of events last week had me thinking about law schools and legal tech, chief among them my attendance at LIT Con, Suffolk Law School’s annual conference to showcase legal innovation and technology — with a portion of it devoted to access-to-justice projects developed by Suffolk Law students themselves.

While not from Bob, I’m also going to include this one here:

Your AI Options: 7 Considerations Before You Buy — from artificiallawyer.com by Liza Pestillos-Ocat

But here’s the problem: not all AI is useful and not all of it is built for the way your legal team works.

Most firms aren’t asking whether they should use AI because they already are. The real question now is what comes next? How do you expand the value of AI across more teams, more matters, and more workflows without introducing unnecessary risk, complexity, or cost?

To get this right, legal professionals need to understand which tools will solve real problems and deliver the most value to their team. That starts with asking better questions, including the ones that follow, before making your next investment in AI for lawyers.

The 2025 AI Index Report [Stanford University]

On 04/09/2025, in 21st century, 24x7x365 access, Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, bots, business, Canada, change, changing business models, cloud-based computing / apps / other cloud-related, collaboration, communities of practice, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, economics, education, education technology, emerging technologies, ethics, Europe, experimentation, faculty/staff, future, game-changing environment, global / globalization, health, human-computer interaction (HCI), innovation, intelligent systems, learning ecosystem, legislatures / government / legal, mathematics, morals/values, platforms, policy, research, science, society, trends, United States, universities, workplace, by Daniel Christian

The 2025 AI Index Report — from Stanford University’s Human-Centered Artificial Intelligence Lab (hai.stanford.edu); item via The Neuron

Top Takeaways

AI performance on demanding benchmarks continues to improve.
AI is increasingly embedded in everyday life.
Business is all in on AI, fueling record investment and usage, as research continues to show strong productivity impacts.
The U.S. still leads in producing top AI models—but China is closing the performance gap.
The responsible AI ecosystem evolves—unevenly.
Global AI optimism is rising—but deep regional divides remain.
…and several more

Also see:

12 Graphs That Explain the State of AI in 2025 — from by Eliza Strickland; item via The Neuron
Stanford’s AI Index tracks performance, investment, public opinion, and more

The Neuron’s take on this:

So, what should you do? You really need to start trying out these AI tools. They’re getting cheaper and better, and they can genuinely help save time or make work easier—ignoring them is like ignoring smartphones ten years ago.

Just keep two big things in mind:

Making the next super-smart AI costs a crazy amount of money and uses tons of power (seriously, they’re buying nuclear plants and pushing coal again!).
Companies are still figuring out how to make AI perfectly safe and fair—cause it still makes mistakes.

So, use the tools, find what helps you, but don’t trust them completely.

We’re building this plane mid-flight, and Stanford’s report card is just another confirmation that we desperately need better safety checks before we hit major turbulence.

Addendum on 4/16:

The 2025 ABA Techshow Startup Alley Pitch Competition Ended In A Tie – Here Are The Winners — from lawnext.com by Bob Ambrogi

This year, two startups ended up with an equal number of votes for the top spot:

Case Crafter, a company from Norway that helps legal professionals build compelling visual timelines based on case files and evidence.
Querious, a product that provides attorneys with real-time insights during client conversations into legal issues, relevant content, and suggested questions and follow-ups.
.

DC: If https://t.co/c3Io6EqFds can do this with legal-related conversations, what about with lectures & learning-related applications of this?

Querious transforms client conversations with real-time legal insights while reducing non-billable administrative tasks.#legaltech #AI pic.twitter.com/s0r9o4N89q

— Daniel S. Christian (@dchristian5) April 9, 2025

AI academy gives law students a head start on legal tech, says OBA innovator — from canadianlawyermag.com by Branislav Urosevic

The Ontario Bar Association has recently launched a hands-on AI learning platform tailored for lawyers. Called the AI Academy, the initiative is designed to help legal professionals explore, experiment with, and adopt AI tools relevant to their practice.

Colin Lachance, OBA’s innovator-in-residence and the lead designer of the platform, says that although the AI Academy was built for practising lawyers, it is also well-suited for law students.

“A Big Gap In Legal Tech Satisfaction” [Barke] + other items re: legaltech

On 03/21/2025, in 21st century, Artificial Intelligence/Agents/LLMs/and Related, emerging technologies, Europe, innovation, intelligent systems, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, UK, United States, usability, user experience (UX), by Daniel Christian

Stat(s) Of The Week: A Big Gap In Legal Tech Satisfaction — from abovethelaw.com by Jeremy Barke
Comparing sentiment across the pond.

Legal tech users in the U.S. and the U.K. report widely different levels of satisfaction with their systems, according to a new survey, raising questions about how companies are meeting lawyers’ needs.

According to “The State of Legal Tech Adoption” report by London-based Definely, 51% of U.S. respondents say they’re satisfied with the ROI of their legal technology, while only 22% of U.K. respondents say the same.

Legal tech company Clio acquires AI-focused platform specializing in large firms — from abajournal.com by Danielle Braff

Legal technology company Clio announced [on 3/13/25] that it acquired ShareDo, an artificial intelligence-focused platform specializing in large law firms.

The move represents a major departure for Clio, which was founded in 2008 and is based in Vancouver, British Columbia. The practice management software platform originally focused on solo, small and midsize firms.

“ShareDo has built a powerhouse, proving that large firms are hungry for smarter, faster and more flexible technology,” said Jack Newton, the CEO and founder of Clio, in a statement. “The large law firm market is on the brink of a major shift, and this acquisition cements our role in leading that change.”

How Wexler AI is transforming legal fact analysis and case strategy — from tech.eu by Cate Lawrence
Wexler AI has developed an AI-embedded platform that enables lawyers to uncover key facts, identify inconsistencies, and streamline case preparation.

It core functionalities include:

Advanced fact extraction and analysis: The system can process up to 500,000 documents simultaneously, surfacing critical facts and connections that might otherwise go unnoticed.
Chronology creation: Lawyers collaborate with Wexler AI to construct detailed timelines from extensive document sets, ensuring transparency in how key facts are selected and connected.
Inconsistency mapping: The AI detects contradictions between testimony and evidence, enhancing cross-examination and case strategy development.

Essential AI tools for better work — from wondertools.substack.com by Jeremy Caplan
My favorite tactics for making the most of AI — a podcast conversation

AI tools I consistently rely on (areas covered mentioned below)

Research and analysis
Communication efficiency
Multimedia creation

AI tactics that work surprisingly well

1. Reverse interviews
Instead of just querying AI, have it interview you. Get the AI to interview you, rather than interviewing it. Give it a little context and what you’re focusing on and what you’re interested in, and then you ask it to interview you to elicit your own insights.”

This approach helps extract knowledge from yourself, not just from the AI. Sometimes we need that guide to pull ideas out of ourselves.

OpenAI’s Deep Research Agent Is Coming for White-Collar Work — from wired.com by Will Knight
The research-focused agent shows how a new generation of more capable AI models could automate some office tasks.

Isla Fulford, a researcher at OpenAI, had a hunch that Deep Research would be a hit even before it was released.

Fulford had helped build the artificial intelligence agent, which autonomously explores the web, deciding for itself what links to click, what to read, and what to collate into an in-depth report. OpenAI first made Deep Research available internally; whenever it went down, Fulford says, she was inundated with queries from colleagues eager to have it back. “The number of people who were DMing me made us pretty excited,” says Fulford.

Since going live to the public on February 2, Deep Research has proven to be a hit with many users outside the company too.

Nvidia to open quantum computing research center in Boston — from seekingalpha.com by Ravikash Bakolia

Nvidia (NASDAQ:NVDA) will open a quantum computing research lab in Boston which is expected to start operations later this year.

The Nvidia Accelerated Quantum Research Center, or NVAQC, will integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing, said the company in a March 18 press release.

Nvidia’s CEO Jensen Huang also made this announcement on Thursday at the company’s first-ever Quantum Day at its annual GTC event.

French quantum computer firm Pasqal links up with NVIDIA — from reuters.com

PARIS, March 21 (Reuters) – Pasqal, a fast-growing French quantum computer start-up company, announced on Friday a partnership with chip giant Nvidia (NVDA.O), opens new tab whereby Pasqal’s customers would gain access to more tools to develop quantum applications.

Pasqal said it would connect its quantum computing units and cloud platform onto NVIDIA’s open-source platform called CUDA-Q.

Introducing next-generation audio models in the API — from openai.com
A new suite of audio models to power voice agents, now available to developers worldwide.

Today, we’re launching new speech-to-text and text-to-speech audio models in the API—making it possible to build more powerful, customizable, and intelligent voice agents that offer real value. Our latest speech-to-text models set a new state-of-the-art benchmark, outperforming existing solutions in accuracy and reliability—especially in challenging scenarios involving accents, noisy environments, and varying speech speeds. These improvements increase transcription reliability, making the models especially well-suited for use cases like customer call centers, meeting note transcription, and more.

The Learning & Development Global Sentiment Survey 2025 [Taylor]

On 02/20/2025, in 21st century, adult learning, Artificial Intelligence/Agents/LLMs/and Related, Asia, Augmented Reality (AR), Australia, business, Canada, change, CMS/LMS, colleges, communities of practice, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital learning, education technology, elearning, emerging technologies, Europe, experimentation, faculty/staff, game-changing environment, generational differences, global / globalization, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, K-12 related, learning, learning ecosystem, Learning Experience Design, learning preferences, lifelong learning, microlearning, personalized/customized learning, platforms, productivity / tips and tricks, skills, technology (general), training / L&D, trends, UK, United States, universities, vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality, by Daniel Christian

The Learning & Development Global Sentiment Survey 2025 — from donaldhtaylor.co.uk by Don Taylor

The L&D Global Sentiment Survey, now in its 12th year, once again asked two key questions of L&D professionals worldwide:

What will be hot in workplace learning in 2025?
What are your L&D challenges in 2025?

For the obligatory question on what they considered ‘hot’ topics, respondents voted for one to three of 15 suggested options, plus a free text ‘Other’ option. Over 3,000 voters participated from nearly 100 countries. 85% shared their challenges for 2025.

The results show more interest in AI, a renewed focus on showing the value of L&D, and some signs of greater maturity around our understanding of AI in L&D.

Journalism, healthcare, IT and more in the age of AI; “‘IT will become the HR of AI agents”

On 01/14/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, biology, data related items, Europe, health, human-computer interaction (HCI), innovation, journalism, NVIDIA, platforms, tools, vendors, by Daniel Christian

NVIDIA Partners With Industry Leaders to Advance Genomics, Drug Discovery and Healthcare — from nvidianews.nvidia.com
IQVIA, Illumina, Mayo Clinic and Arc Institute Harness NVIDIA AI and Accelerated Computing to Transform $10 Trillion Healthcare and Life Sciences Industry

J.P. Morgan Healthcare Conference—NVIDIA today announced new partnerships to transform the $10 trillion healthcare and life sciences industry by accelerating drug discovery, enhancing genomic research and pioneering advanced healthcare services with agentic and generative AI.

The convergence of AI, accelerated computing and biological data is turning healthcare into the largest technology industry. Healthcare leaders IQVIA, Illumina and Mayo Clinic, as well as Arc Institute, are using the latest NVIDIA technologies to develop solutions that will help advance human health.

These solutions include AI agents that can speed clinical trials by reducing administrative burden, AI models that learn from biology instruments to advance drug discovery and digital pathology, and physical AI robots for surgery, patient monitoring and operations. AI agents, AI instruments and AI robots will help address the $3 trillion of operations dedicated to supporting industry growth and create an AI factory opportunity in the hundreds of billions of dollars.

AI could transform health care, but will it live up to the hype? — from sciencenews.org by Meghan Rosen and Tina Hesman Saey
The technology has the potential to improve lives, but hurdles and questions remain

True progress in transforming health care will require solutions across the political, scientific and medical sectors. But new forms of artificial intelligence have the potential to help. Innovators are racing to deploy AI technologies to make health care more effective, equitable and humane.

AI could spot cancer early, design lifesaving drugs, assist doctors in surgery and even peer into people’s futures to predict and prevent disease. The potential to help people live longer, healthier lives is vast. But physicians and researchers must overcome a legion of challenges to harness AI’s potential.

HHS publishes AI Strategic Plan, with guidance for healthcare, public health, human services — from healthcareitnews.com by Mike Miliard
The framework explores ways to spur innovation and adoption, enable more trustworthy model development, promote access and foster AI-empowered healthcare workforces.

The U.S. Department of Health and Human Services has issued its HHS Artificial Intelligence Strategic Plan, which the agency says will “set in motion a coordinated public-private approach to improving the quality, safety, efficiency, accessibility, equitability and outcomes in health and human services through the innovative, safe, and responsible use of AI.”

How Journalism Will Adapt in the Age of AI — from bloomberg.com/ by John Micklethwait
The news business is facing its next enormous challenge. Here are eight reasons to be both optimistic and paranoid.

AI promises to get under the hood of our industry — to change the way we write and edit stories. It will challenge us, just like it is challenging other knowledge workers like lawyers, scriptwriters and accountants.
…

Most journalists love AI when it helps them uncover Iranian oil smuggling. Investigative journalism is not hard to sell to a newsroom. The second example is a little harder. Over the past month we have started testing AI-driven summaries for some longer stories on the Bloomberg Terminal.

The software reads the story and produces three bullet points. Customers like it — they can quickly see what any story is about. Journalists are more suspicious. Reporters worry that people will just read the summary rather than their story.
…
So, looking into our laboratory, what do I think will happen in the Age of AI? Here are eight predictions.

‘IT will become the HR of AI agents’, says Nvidia’s CEO: How should organisations respond? — from hrsea.economictimes.indiatimes.com by Vanshika Rastogi

Nvidia’s CEO, Jensen Huang’s recent statement “IT will become the HR of AI agents” continues to spark debate about IT’s evolving role in managing AI systems. As AI tools become integral, IT teams will take on tasks like training and optimising AI agents, blending technical and HR responsibilities. So, how should organisations respond to this transformation?

For a true meritocracy, education must not be one-size-fits-all [Chung]

On 11/27/2024, in career development, curriculum, Daniel S. Christian, education, education reform, Europe, experimentation, K-12 related, leadership, learning ecosystem, more voice more choice more control, skills, strategy, teachers, United States, vision/possibilities, vocational / trades, youth, by Daniel Christian

For a true meritocracy, education must not be one-size-fits-all — from edsource.org by Eric Chung

What we can do is stop deciding who is educated, intelligent and successful based on only one type of student. Instead, we should recognize the value of all students, and offer more mainstream career and technical opportunities across K-12 education.

From DSC:
Note the power of CHOICE in this next excerpt:

There is another possibility. Consider Finland, which in the 1970s switched from the German model to one that teaches a combination of academic and technical subjects until age 16, when students choose a track. The vocational path for students interested in highly -skilled trades includes carpentry and culinary arts, but it also offers applied sciences, health care, and social services, which in the United States would require attending traditional academic universities.

.
Learners need: More voice. More choice. More control. -- this image was created by Daniel Christian

Some beautiful photography, artwork, and creativity

On 11/21/2024, in art, creativity, digital photography, Europe, photography, by Daniel Christian

Mikko Lagerstedt Photographs the Quiet Grandeur of Snowy Nordic Landscapes — from thisiscolossal.com by Grace Ebert and Mikko Lagerstedt

Color and Repetition Form Optical Rhythms in Daniel Mullen’s Geometric Paintings — from thisiscolossal.com by Kate Mothes and Daniel Mullen

Now this is contemporary art

?Andrew Scottpic.twitter.com/KstQ6kfy8A

— Interesting things (@awkwardgoogle) November 19, 2024

Denmark’s Gefion: The AI supercomputer that puts society first [Nest]

On 11/21/2024, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, collaboration, computer science, corporate / business world, emerging technologies, Europe, experimentation, future, game-changing environment, generational differences, NVIDIA, platforms, society, by Daniel Christian

Denmark’s Gefion: The AI supercomputer that puts society first — from blog.aiport.tech by Daniel Nest
Can it help us reimagine what “AI success” looks like?

In late October 2024, NVIDIA’s Jensen Huang and Denmark’s King Frederik X symbolically plugged in the country’s new AI supercomputer, Gefion.

Societal impact vs. monetization
Public-private cooperation vs. venture capital
Powered by renewable energy

Some dangers of running AI’s that control a computer or a web browser; + other AI related items

On 10/30/2024, in Apple, Artificial Intelligence/Agents/LLMs/and Related, business, computer science, emerging technologies, Europe, Google, Microsoft, NVIDIA, Open AI, platforms, programming, the downsides of how people use tech, tools, trends, United States, vendors, workplace, by Daniel Christian

Claude can now write and run code.

We’ve added a new analysis tool. The tool helps Claude respond with mathematically precise and reproducible answers. You can then create interactive data visualizations with Artifacts.

Enable the feature preview: https://t.co/bJ8BjBT6zG. pic.twitter.com/Jq5xOHBmiR

— Anthropic (@AnthropicAI) October 24, 2024

Along these same lines, see:

Introducing computer use, a new Claude 3.5 Sonnet, and Claude 3.5 Haiku

We’re also introducing a groundbreaking new capability in public beta: computer use. Available today on the API, developers can direct Claude to use computers the way people do—by looking at a screen, moving a cursor, clicking buttons, and typing text. Claude 3.5 Sonnet is the first frontier AI model to offer computer use in public beta. At this stage, it is still experimental—at times cumbersome and error-prone. We’re releasing computer use early for feedback from developers, and expect the capability to improve rapidly over time.

ZombAIs: From Prompt Injection to C2 with Claude Computer Use — from embracethered.com by Johann Rehberger

A few days ago, Anthropic released Claude Computer Use, which is a model + code that allows Claude to control a computer. It takes screenshots to make decisions, can run bash commands and so forth.

It’s cool, but obviously very dangerous because of prompt injection. Claude Computer Use enables AI to run commands on machines autonomously, posing severe risks if exploited via prompt injection.

This blog post demonstrates that it’s possible to leverage prompt injection to achieve, old school, command and control (C2) when giving novel AI systems access to computers.
…
We discussed one way to get malware onto a Claude Computer Use host via prompt injection. There are countless others, like another way is to have Claude write the malware from scratch and compile it. Yes, it can write C code, compile and run it. There are many other options.

TrustNoAI.

And again, remember do not run unauthorized code on systems that you do not own or are authorized to operate on.

Also relevant here, see:

Perplexity Grows, GPT Traffic Surges, Gamma Dominates AI Presentations – The AI for Work Top 100: October 2024 — from flexos.work by Daan van Rossum
Perplexity continues to gain users despite recent controversies. Five out of six GPTs see traffic boosts. This month’s highest gainers including Gamma, Blackbox, Runway, and more.

Growing Up: Navigating Generative AI’s Early Years – AI Adoption Report — from ai.wharton.upenn.edu by Jeremy Korst, Stefano Puntoni, & Mary Purk

From a survey with more than 800 senior business leaders, this report’s findings indicate that weekly usage of Gen AI has nearly doubled from 37% in 2023 to 72% in 2024, with significant growth in previously slower-adopting departments like Marketing and HR. Despite this increased usage, businesses still face challenges in determining the full impact and ROI of Gen AI. Sentiment reports indicate leaders have shifted from feelings of “curiosity” and “amazement” to more positive sentiments like “pleased” and “excited,” and concerns about AI replacing jobs have softened. Participants were full-time employees working in large commercial organizations with 1,000 or more employees.

Apple study exposes deep cracks in LLMs’ “reasoning” capabilities — from arstechnica.com by Kyle Orland
Irrelevant red herrings lead to “catastrophic” failure of logical inference.

For a while now, companies like OpenAI and Google have been touting advanced “reasoning” capabilities as the next big step in their latest artificial intelligence models. Now, though, a new study from six Apple engineers shows that the mathematical “reasoning” displayed by advanced large language models can be extremely brittle and unreliable in the face of seemingly trivial changes to common benchmark problems.

The fragility highlighted in these new results helps support previous research suggesting that LLMs use of probabilistic pattern matching is missing the formal understanding of underlying concepts needed for truly reliable mathematical reasoning capabilities. “Current LLMs are not capable of genuine logical reasoning,” the researchers hypothesize based on these results. “Instead, they attempt to replicate the reasoning steps observed in their training data.”

Google CEO says more than a quarter of the company’s new code is created by AI — from businessinsider.in by Hugh Langley

More than a quarter of new code at Google is made by AI and then checked by employees.
Google is doubling down on AI internally to make its business more efficient.

Top Generative AI Chatbots by Market Share – October 2024

Bringing developer choice to Copilot with Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview — from github.blog

We are bringing developer choice to GitHub Copilot with Anthropic’s Claude 3.5 Sonnet, Google’s Gemini 1.5 Pro, and OpenAI’s o1-preview and o1-mini. These new models will be rolling out—first in Copilot Chat, with OpenAI o1-preview and o1-mini available now, Claude 3.5 Sonnet rolling out progressively over the next week, and Google’s Gemini 1.5 Pro in the coming weeks. From Copilot Workspace to multi-file editing to code review, security autofix, and the CLI, we will bring multi-model choice across many of GitHub Copilot’s surface areas and functions soon.

Norway law decrees: Let childhood be childhood — from hechingerreport.org by Jackie Mader
In the Scandinavian country, early childhood education is a national priority, enshrined in law

Ullmann’s conclusion embodies one of Norway’s goals for its citizens: to build a nation of thriving adults by providing childhoods that are joyful, secure and inclusive. Perhaps nowhere is this belief manifested more clearly than in the nation’s approach to early child care. (In Norway, all education for children 5 and under is referred to as “barnehagen,” the local translation of “kindergarten.”) To an American, the Norwegian philosophy, both in policy and in practice, could feel alien. The government’s view isn’t that child care is a place to put children so parents can work, or even to prepare children for the rigors of elementary school. It’s about protecting childhood.

“A really important pillar of Norway’s early ed philosophy is the value of childhood in itself,” said Henrik D. Zachrisson, a professor at the Centre for Research on Equality in Education at the University of Oslo. “Early ed is supposed to be a place where children can be children and have the best childhood possible.”

Very creative architecture!

On 08/14/2024, in architecture, art, Asia, creativity, design, Europe, by Daniel Christian

From DSC:
I thought this was very creative! Nice work.

A Curtain-Like Facade Wraps a Seoul Textile Maker in Billowing Brick — from thisiscolossal.com by Kate Mothes and German architecture firm behet bondzio lin architekten

A South Korea fashion brand and textile manufacturer’s headquarters in Seoul gets a stunning new look thanks to German architecture firm behet bondzio lin architekten. Located in Seongsu-dong, a neighborhood historically known for its red brick factory buildings, the new multistory structure defies the material’s traditionally angular application by incorporating an undulating, drapery-like facade.

The architects conceived of a design inspired both by the flow and flexibility of textiles and the consistent rhythm of ocean waves.
.

Learning Ecosystems

The heavens declare the glory of God.

Some beautiful photography, artwork, and creativity

Very creative architecture!

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