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“…a new operating system for L&D in the age of AI?” [Hardman] + other items re: AI in our learning ecosystems

On 10/30/2025, in 21st century, 24x7x365 access, adult learning, Artificial Intelligence/Agents/LLMs/and Related, bots, business, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education technology, emerging technologies, experimentation, higher education, human-computer interaction (HCI), India, innovation, instructional design, intelligent systems, intelligent tutoring, K-12 related, learning, learning agents, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning hubs & pods & microschooling, liberal arts, training / L&D, by Daniel Christian

Custom AI Development: Evolving from Static AI Systems to Dynamic Learning Agents in 2025 — community.nasscom.in

This blog explores how custom AI development accelerates the evolution from static AI to dynamic learning agents and why this transformation is critical for driving innovation, efficiency, and competitive advantage.
…
Dynamic Learning Agents: The Next Generation
Dynamic learning agents, sometimes referred to as adaptive or agentic AI, represent a leap forward. They combine continuous learning, autonomous action, and context-aware adaptability.

Custom AI development plays a crucial role here: it ensures that these agents are designed specifically for an enterprise’s unique needs rather than relying on generic, one-size-fits-all AI platforms. Tailored dynamic agents can:

  • Continuously learn from incoming data streams
  • Make autonomous, goal-directed decisions aligned with business objectives
  • Adapt behavior in real time based on context and feedback
  • Collaborate with other AI agents and human teams to solve complex challenges

The result is an AI ecosystem that evolves with the business, providing sustained competitive advantage.

Also from community.nasscom.in, see:

Building AI Agents with Multimodal Models: From Perception to Action

Perception: The Foundation of Intelligent Agents
Perception is the first step in building AI agents. It involves capturing and interpreting data from multiple modalities, including text, images, audio, and structured inputs. A multimodal AI agent relies on this comprehensive understanding to make informed decisions.

For example, in healthcare, an AI agent may process electronic health records (text), MRI scans (vision), and patient audio consultations (speech) to build a complete understanding of a patient’s condition. Similarly, in retail, AI agents can analyze purchase histories (structured data), product images (vision), and customer reviews (text) to inform recommendations and marketing strategies.

Effective perception ensures that AI agents have contextual awareness, which is essential for accurate reasoning and appropriate action.

From 70-20-10 to 90-10: a new operating system for L&D in the age of AI? — from linkedin.com by Dr. Philippa Hardman

Also from Philippa, see:

Your New ChatGPT Guide — from wondertools.substack.com by Jeremy Caplan and The PyCoach
25 AI Tips & Tricks from a guest expert

  • ChatGPT can make you more productive or dumber. An MIT study found that while AI can significantly boost productivity, it may also weaken your critical thinking. Use it as an assistant, not a substitute for your brain.
  • If you’re a student, use study mode in ChatGPT, Gemini, or Claude. When this feature is enabled, the chatbots will guide you through problems rather than just giving full answers, so you’ll be doing the critical thinking.
  • ChatGPT and other chatbots can confidently make stuff up (aka AI hallucinations). If you suspect something isn’t right, double-check its answers.
  • NotebookLM hallucinates less than most AI tools, but it requires you to upload sources (PDFs, audio, video) and won’t answer questions beyond those materials. That said, it’s great for students and anyone with materials to upload.
  • Probably the most underrated AI feature is deep research. It automates web searching for you and returns a fully cited report with minimal hallucinations in five to 30 minutes. It’s available in ChatGPT, Perplexity, and Gemini, so give it a try.

 

 

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“Introducing ChatGPT Atlas” + “Concern/excitement about AI” + other items re: AI in general

On 10/23/2025, in Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, bots, Canada, career development, content development, aggregation, repositories, creativity, Daniel S. Christian, digital storytelling, digital video, drama/theater, emerging technologies, Emotion, entrepreneurship, Europe, faith, future, game-changing environment, hearts -- matters of the heart, human-computer interaction (HCI), India, innovation, intelligent systems, internet, IT in HE, media/film, platforms, policy, society, student-related, tools, trends, UK, United States, vendors, vision/possibilities, workplace, by Daniel Christian

2. Concern and excitement about AI — from pewresearch.org by Jacob Poushter,Moira Faganand Manolo Corichi

Key findings

  • A median of 34% of adults across 25 countries are more concerned than excited about the increased use of artificial intelligence in daily life. A median of 42% are equally concerned and excited, and 16% are more excited than concerned.
  • Older adults, women, people with less education and those who use the internet less often are particularly likely to be more concerned than excited.

Also relevant here:

AI Video Wars include Veo 3.1, Sora 2, Ray3, Kling 2.5 + Wan 2.5 — from heatherbcooper.substack.com by Heather Cooper
House of David Season 2 is here!

In today’s edition:

  • Veo 3.1 brings richer audio and object-level editing to Google Flow
  • Sora 2 is here with Cameo self-insertion and collaborative Remix features
  • Ray3 brings world-first reasoning and HDR to video generation
  • Kling 2.5 Turbo delivers faster, cheaper, more consistent results
  • WAN 2.5 revolutionizes talking head creation with perfect audio sync
  • House of David Season 2 Trailer
  • HeyGen Agent, Hailuo Agent, Topaz Astra, and Lovable Cloud updates
  • Image & Video Prompts

From DSC:
By the way, the House of David (which Heather referred to) is very well done! I enjoyed watching Season 1. Like The Chosen, it brings the Bible to life in excellent, impactful ways! Both series convey the context and cultural tensions at the time. Both series are an answer to prayer for me and many others — as they are professionally-done. Both series match anything that comes out of Hollywood in terms of the acting, script writing, music, the sets, etc.  Both are very well done.
.

An item re: Sora:

Other items re: Open AI’s new Atlas browser:

Introducing ChatGPT Atlas — from openai.com
The browser with ChatGPT built in.

[On 10/21/25] we’re introducing ChatGPT Atlas, a new web browser built with ChatGPT at its core.

AI gives us a rare moment to rethink what it means to use the web. Last year, we added search in ChatGPT so you could instantly find timely information from across the internet—and it quickly became one of our most-used features. But your browser is where all of your work, tools, and context come together. A browser built with ChatGPT takes us closer to a true super-assistant that understands your world and helps you achieve your goals.

With Atlas, ChatGPT can come with you anywhere across the web—helping you in the window right where you are, understanding what you’re trying to do, and completing tasks for you, all without copying and pasting or leaving the page. Your ChatGPT memory is built in, so conversations can draw on past chats and details to help you get new things done.

ChatGPT Atlas: the AI browser test — from getsuperintel.com by Kim “Chubby” Isenberg
Chat GPT Atlas aims to transform web browsing into a conversational, AI-native experience, but early reviews are mixed

OpenAI’s new ChatGPT Atlas promises to merge web browsing, search, and automation into a single interface — an “AI-native browser” meant to make the web conversational. After testing it myself, though, I’m still trying to see the real breakthrough. It feels familiar: summaries, follow-ups, and even the Agent’s task handling all mirror what I already do inside ChatGPT.

OpenAI’s new Atlas browser remembers everything — from theneurondaily.com by Grant Harvey
PLUS: Our AIs are getting brain rot?!

Here’s how it works: Atlas can see what you’re looking at on any webpage and instantly help without you needing to copy/paste or switch tabs. Researching hotels? Ask ChatGPT to compare prices right there. Reading a dense article? Get a summary on the spot. The AI lives in the browser itself.

OpenAI’s new product — from bensbites.com

The latest entry in AI browsers is Atlas – A new browser from OpenAI. Atlas would feel similar to Dia or Comet if you’ve used them. It has an “Ask ChatGPT” sidebar that has the context of your page, and choose “Agent” to work on that tab. Right now, Agent is limited to a single tab, and it is way too slow to delegate anything for real to it. Click accuracy for Agent is alright on normal web pages, but it will definitely trip up if you ask it to use something like Google Sheets.

One ambient feature that I think many people will like is “select to rewrite” – You can select any text in Atlas, hover/click on the blue dot in the top right corner to rewrite it using AI.

Your AI Resume Hacks Probably Won’t Fool Hiring Algorithms — from builtin.com by Jeff Rumage
Recruiters say those viral hidden prompt for resumes don’t work — and might cost you interviews.

Summary: Job seekers are using “prompt hacking” — embedding hidden AI commands in white font on resumes — to try to trick applicant tracking systems. While some report success, recruiters warn the tactic could backfire and eliminate the candidate from consideration.

The Job Market Might Be a Mess, But Don’t Blame AI Just Yet — from builtin.com by Matthew Urwin
A new study by Yale University and the Brookings Institution says the panic around artificial intelligence stealing jobs is overblown. But that might not be the case for long.

Summary: A Yale and Brookings study finds generative AI has had little impact on U.S. jobs so far, with tariffs, immigration policies and the number of college grads potentially playing a larger role. Still, AI could disrupt the workforce in the not-so-distant future.

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International AI Safety Report

On 10/21/2025, in 21st century, Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, Canada, ethics, Europe, human-computer interaction (HCI), India, intelligent systems, legislatures / government / legal, mathematics, platforms, programming, science, society, surviving, UK, United States, by Daniel Christian

International AI Safety Report — from internationalaisafetyreport.org

About the International AI Safety Report
The International AI Safety Report is the world’s first comprehensive review of the latest science on the capabilities and risks of general-purpose AI systems. Written by over 100 independent experts and led by Turing Award winner Yoshua Bengio, it represents the largest international collaboration on AI safety research to date. The Report gives decision-makers a shared global picture of AI’s risks and impacts, serving as the authoritative reference for governments and organisations developing AI policies worldwide. It is already shaping debates and informing evidence-based decisions across research and policy communities.

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“The world’s first AI cabinet member” [various] + other items re: AI in general

On 09/17/2025, in 21st century, Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, business, Canada, career development, change, corporate / business world, emerging technologies, Europe, experimentation, India, legislatures / government / legal, society, UK, United States, workplace, by Daniel Christian

3 Work Trends – Issue 87 — from the World Economic Forum

1. #AI adoption is delivering real results for early movers
Three years into the generative AI revolution, a small but growing group of global companies is demonstrating the tangible potential of AI. Among firms with revenues of $1 billion or more:

  • 17% report cost savings or revenue growth of at least 10% from AI.
  • Almost 80% say their AI investments have met or exceeded expectations.
  • Half worry they are not moving fast enough and could fall behind competitors.

The world’s first AI cabinet member — from therundown.ai by Zach Mink, Rowan Cheung, Shubham Sharma, Joey Liu & Jennifer Mossalgue
PLUS: Startup produces 3,000 AI podcast episodes weekly

The details:

  • Prime Minister Edi Rama unveiled Diella during a cabinet announcement this week, calling her the first member “virtually created by artificial intelligence”.
  • The AI avatar will evaluate and award all public tenders where the government contracts private firms.
  • Diella already serves citizens through Albania’s digital services portal, processing bureaucratic requests via voice commands.
  • Rama claims the AI will eliminate bribes and threats from decision-making, though the government hasn’t detailed what human oversight will exist.

The Rundown AI’s article links to:

Anthropic Economic Index report: Uneven geographic and enterprise AI adoption — from anthropic.com

In other words, a hallmark of early technological adoption is that it is concentrated—in both a small number of geographic regions and a small number of tasks in firms. As we document in this report, AI adoption appears to be following a similar pattern in the 21st century, albeit on shorter timelines and with greater intensity than the diffusion of technologies in the 20th century.

To study such patterns of early AI adoption, we extend the Anthropic Economic Index along two important dimensions, introducing a geographic analysis of Claude.ai conversations and a first-of-its-kind examination of enterprise API use. We show how Claude usage has evolved over time, how adoption patterns differ across regions, and—for the first time—how firms are deploying frontier AI to solve business problems.

How human-centric AI can shape the future of work — from weforum.org by Sapthagiri Chapalapalli

  • Last year, use of AI in the workplace increased by 5.5% in Europe alone.
  • AI adoption is accelerating, but success depends on empowering people, not just deploying technology.
  • Redesigning roles and workflows to combine human creativity and critical thinking with AI-driven insights is key.

The transformative potential of AI on business

Organizations are having to rapidly adapt their business models. Image: TCS

Using ChatGPT to get a job — from linkedin.com by Ishika Rawat

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“Is graduate employability a core university priority?” + 2 other items from Times Higher Education

On 07/11/2025, in Africa, business, career development, change, collaboration, colleges, communities of practice, community colleges, corporate / business world, curriculum, entrepreneurship, experimentation, faculty/staff, higher education, ideas, India, teaching & learning, United States, universities, by Daniel Christian

Is graduate employability a core university priority? — from timeshighereducation.com by Katherine Emms and Andrea Laczik
Universities, once judged primarily on the quality of their academic outcomes, are now also expected to prepare students for the workplace. Here’s how higher education is adapting to changing pressures

A clear, deliberate shift in priorities is under way. Embedding employability is central to an Edge Foundation report, carried out in collaboration with UCL’s Institute of Education, looking at how English universities are responding. In placing employability at the centre of their strategies – not just for professional courses but across all disciplines – the two universities that were analysed in this research show how they aim to prepare students for the labour market overall. Although the employability strategy is initialled by the universities’ senior leaders, the research showed that realising this employability strategy must be understood and executed by staff at all levels across departments. The complexity of offering insights into industry pathways and building relevant skills involves curricula development, student-centred teaching, careers support, partnership work and employer engagement.

Every student can benefit from an entrepreneurial mindset — from timeshighereducation.com by Nicolas Klotz
To develop the next generation of entrepreneurs, universities need to nurture the right mindset in students of all disciplines. Follow these tips to embed entrepreneurial education

This shift demands a radical rethink of how we approach entrepreneurial mindset in higher education. Not as a specialism for a niche group of business students but as a core competency that every student, in every discipline, can benefit from.

At my university, we’ve spent the past several years re-engineering how we embed entrepreneurship into daily student life and learning.

What we’ve learned could help other institutions, especially smaller or resource-constrained ones, adapt to this new landscape.

The first step is recognising that entrepreneurship is not only about launching start-ups for profit. It’s about nurturing a mindset that values initiative, problem-solving, resilience and creative risk-taking. Employers increasingly want these traits, whether the student is applying for a traditional job or proposing their own venture.

Build foundations for university-industry partnerships in 90 days— from timeshighereducation.com by Raul Villamarin Rodriguez and Hemachandran K
Graduate employability could be transformed through systematic integration of industry partnerships. This practical guide offers a framework for change in Indian universities

The most effective transformation strategy for Indian universities lies in systematic industry integration that moves beyond superficial partnerships and towards deep curriculum collaboration. Rather than hoping market alignment will occur naturally, institutions must reverse-engineer academic programmes from verified industry needs.

Our six-month implementation at Woxsen University demonstrates this framework’s practical effectiveness, achieving more than 130 industry partnerships, 100 per cent faculty participation in transformation training, and 75 per cent of students receiving industry-validated credentials with significantly improved employment outcomes.

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MOOC-Style Skills Training [Fain]

On 05/05/2025, in business side of he, changing business models, CMS/LMS, colleges, community colleges, content development, aggregation, repositories, cost of getting a degree, credentialing, digital learning, education technology, experimentation, faculty/staff, global / globalization, higher education, human-computer interaction (HCI), India, instructional design, learning ecosystem, Learning from the Living [Class] Room, microlearning, MOOCs -- Massive Open Online Courses, online learning, open courseware and systems, platforms, productivity / tips and tricks, skills, United States, universities, vendors, by Daniel Christian

MOOC-Style Skills Training — from the-job.beehiiv.com by Paul Fain
WGU and tech companies use Open edX for flexible online learning. Could community colleges be next?

Open Source for Affordable Online Reach
The online titan Western Governors University is experimenting with an open-source learning platform. So are Verizon and the Indian government. And the platform’s leaders want to help community colleges take the plunge on competency-based education.
…
The Open edX platform inherently supports self-paced learning and offers several features that make it a good fit for competency-based education and skills-forward learning, says Stephanie Khurana, Axim’s CEO.

“Flexible modalities and a focus on competence instead of time spent learning improves access and affordability for learners who balance work and life responsibilities alongside their education,” she says.

“Plus, being open source means institutions and organizations can collaborate to build and share CBE-specific tools and features,” she says, “which could lower costs and speed up innovation across the field.”

Axim thinks Open edX’s ability to scale affordably can support community colleges in reaching working learners across an underserved market. 

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Record Law Grad Employment Rates Suggest AI Isn’t Killing Off Lawyers Just Yet [Ambrogi] + other legaltech-related items

On 04/25/2025, in Access to Justice (A2J), human-computer interaction (HCI), India, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, UK, United States, workplace, by Daniel Christian

Record Law Grad Employment Rates Suggest AI Isn’t Killing Off Lawyers Just Yet — from lawnext.com by Bob Ambrogi

At a time when legal doomsayers have been predicting the imminent replacement of junior associates by AI legal assistants, the law school graduating class of 2024 has delivered a contrary verdict: Human lawyers aren’t going anywhere just yet.

According to the latest American Bar Association employment report, the legal job market is showing not just resilience, but growth. The data, reported as of March 17, 2025 — approximately 10 months after spring graduations — reveals that 82.2% of the 38,937 2024 law school graduates secured positions requiring bar admission — a two-point increase from the previous year.

Also see:

Leeds to host UK’s largest LegalTech event outside London as sector booms in the region by 50% — from yorkshirepost.co.uk by Jo Jessop
Leeds is gearing up to welcome hundreds of Legal and Tech professionals [on 4/24/25], as it hosts the fourth annual LegalTech in Leeds Conference – now the largest LegalTech event outside of London.

Set to take place on April 24 at Cloth Hall Court, Leeds, the 2025 conference comes at a time of extraordinary growth for the region’s LegalTech sector, which has seen a 50% increase in LegalTech firms between 2023 and 2024, according to a new report from Whitecap Consulting.

The event, themed “People & Technology,” will spotlight how digital innovation is transforming the legal sector while keeping human experience at its core. This year’s agenda will delve into the practical ways individuals and organisations can collaborate to deliver more efficient, accessible, and forward-thinking legal services. With hundreds of attendees expected, it’s set to be a landmark gathering of legal professionals, lawyers, tech professionals, entrepreneurs, academics and policymakers.

How Legal Tech is Reshaping the Broader Legal Ecosystem — from community.nasscom.in

The legal profession, long characterized by tradition and precedent, is undergoing a transformative shift driven by technological innovation. Legal technology, or “legal tech,” is not merely a tool for efficiency; it is a catalyst redefining the practice of law, the structure of legal services, and the accessibility of justice.

1. Streamlining Legal Operations
2. Enhancing Access to Justice
3. Transforming Legal Education and Roles
4. Redefining Client Expectations and Service Delivery
5. plus several more

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The $100 billion disruption: How AI is reshaping legal tech [Hundia & Mehta]

On 03/12/2025, in 21st century, 24x7x365 access, Access to Justice (A2J), business, change, changing business models, disruption, India, innovation, law schools, Legal operations, legal reform, legal technologies, legislatures / government / legal, new business models, productivity / tips and tricks, United States, by Daniel Christian

The $100 billion disruption: How AI is reshaping legal tech — from americanbazaaronline.com by Rohan Hundia and Rajesh Mehta

The Size of the Problem: Judicial Backlog and Inefficiencies
India has a massive backlog of more than 47 million pending cases, with civil litigation itself averaging 1,445 days in resolution. In the United States, federal courts dispose of nearly 400,000 cases a year, and complex litigations take years to complete. Artificial intelligence-driven case law research, contract automation, and predictive analytics will cut legal research times by 90%, contract drafting fees by 60%, and hasten case settlements, potentially saving billions of dollars in legal costs.

This is not just an evolution—it is a permanent change toward data-driven jurisprudence, with AI supplementing human capabilities, speeding up delivery of justice, and extending access to legal services. The AI revolution for legal tech is not on its way; it is already under way, dismantling inefficiencies and transforming the legal world in real time.

Scaling and Improving Legal Tech Projects — from legaltalknetwork.com by Taylor Sartor, Luigi Bai, David Gray, and Cat Moon

Legal tech innovators discuss how they are working to scale and improve their successful projects on Talk Justice. FosterPower and Legal Aid Content Intelligence (LACI) leverage technology to make high-quality legal information available to people for free online. Both also received Technology Initiative Grants (TIG) from the Legal Services Corporation to launch their projects. Then, in 2024 they were both selected for a different TIG, called the Sustainability, Enhancement and Adoption (SEA) grant. This funding supports TIG projects that have demonstrated excellent results as they improve their tools and work to increase uptake.

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At least seven items re: AI within our learning ecosystems

On 01/14/2025, in 21st century, 24x7x365 access, Artificial Intelligence/Agents/LLMs/and Related, bots, collaboration, colleges, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, education technology, emerging technologies, ethics, experimentation, faculty/staff, future, game-changing environment, generational differences, Google, India, innovation, instructional design, intelligent systems, intelligent tutoring, IT in HE, K-12 related, law schools, learning, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, morals/values, NVIDIA, platforms, policy, research, student-related, teachers, teaching & learning, tools, training / L&D, trends, United States, universities, vendors, voice recognition / voice enabled interfaces, by Daniel Christian

Students Pushback on AI Bans, India Takes a Leading Role in AI & Education & Growing Calls for Teacher Training in AI — from learningfuturesdigest.substack.com by Dr. Philippa Hardman
Key developments in the world of AI & Education at the turn of 2025

At the end of 2024 and start of 2025, we’ve witnessed some fascinating developments in the world of AI and education, from from India’s emergence as a leader in AI education and Nvidia’s plans to build an AI school in Indonesia to Stanford’s Tutor CoPilot improving outcomes for underserved students.

Other highlights include Carnegie Learning partnering with AI for Education to train K-12 teachers, early adopters of AI sharing lessons about implementation challenges, and AI super users reshaping workplace practices through enhanced productivity and creativity.

Also mentioned by Philippa:

ElevenLabs AI Voice Tool Review for Educators — from aiforeducation.io with Amanda Bickerstaff and Mandy DePriest

AI for Education reviewed the ElevenLabs AI Voice Tool through an educator lens, digging into the new autonomous voice agent functionality that facilitates interactive user engagement. We showcase the creation of a customized vocabulary bot, which defines words at a 9th-grade level and includes options for uploading supplementary material. The demo includes real-time testing of the bot’s capabilities in defining terms and quizzing users.

The discussion also explored the AI tool’s potential for aiding language learners and neurodivergent individuals, and Mandy presented a phone conversation coach bot to help her 13-year-old son, highlighting the tool’s ability to provide patient, repetitive practice opportunities.

While acknowledging the technology’s potential, particularly in accessibility and language learning, we also want to emphasize the importance of supervised use and privacy considerations. Right now the tool is currently free, this likely won’t always remain the case, so we encourage everyone to explore and test it out now as it continues to develop.

How to Use Google’s Deep Research, Learn About and NotebookLM Together — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
Supercharging your research with Google Deepmind’s new AI Tools.

Why Combine Them?
Faster Onboarding: Start broad with Deep Research, then refine and clarify concepts through Learn About. Finally, use NotebookLM to synthesize everything into a cohesive understanding.

Deeper Clarity: Unsure about a concept uncovered by Deep Research? Head to Learn About for a primer. Want to revisit key points later? Store them in NotebookLM and generate quick summaries on demand.

Adaptive Exploration: Create a feedback loop. Let new terms or angles from Learn About guide more targeted Deep Research queries. Then, compile all findings in NotebookLM for future reference.
.

Getting to an AI Policy Part 1: Challenges — from aiedusimplified.substack.com by Lance Eaton, PH.D.
Why institutional policies are slow to emerge in higher education

There are several challenges to making policy that make institutions hesitant to or delay their ability to produce it. Policy (as opposed to guidance) is much more likely to include a mixture of IT, HR, and legal services. This means each of those entities has to wrap their heads around GenAI—not just for their areas but for the other relevant areas such as teaching & learning, research, and student support. This process can definitely extend the time it takes to figure out the right policy.

That’s naturally true with every policy. It does not often come fast enough and is often more reactive than proactive.

Still, in my conversations and observations, the delay derives from three additional intersecting elements that feel like they all need to be in lockstep in order to actually take advantage of whatever possibilities GenAI has to offer.

  1. Which Tool(s) To Use
  2. Training, Support, & Guidance, Oh My!
  3. Strategy: Setting a Direction…

Prophecies of the Flood — from oneusefulthing.org by Ethan Mollick
What to make of the statements of the AI labs?

What concerns me most isn’t whether the labs are right about this timeline – it’s that we’re not adequately preparing for what even current levels of AI can do, let alone the chance that they might be correct. While AI researchers are focused on alignment, ensuring AI systems act ethically and responsibly, far fewer voices are trying to envision and articulate what a world awash in artificial intelligence might actually look like. This isn’t just about the technology itself; it’s about how we choose to shape and deploy it. These aren’t questions that AI developers alone can or should answer. They’re questions that demand attention from organizational leaders who will need to navigate this transition, from employees whose work lives may transform, and from stakeholders whose futures may depend on these decisions. The flood of intelligence that may be coming isn’t inherently good or bad – but how we prepare for it, how we adapt to it, and most importantly, how we choose to use it, will determine whether it becomes a force for progress or disruption. The time to start having these conversations isn’t after the water starts rising – it’s now.

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“Miscommunication Leads AI-Based Hiring Tools Astray” [adigaskell.org] + other items re: AI in general

On 11/19/2024, in Artificial Intelligence/Agents/LLMs/and Related, Blockchain, computer science, design, emerging technologies, engineering, experimentation, game-changing environment, Google, graphics, India, innovation, Microsoft, NVIDIA, Open AI, platforms, programming, robotics, simulations, society, tools, usability, user experience (UX), vendors, by Daniel Christian

Miscommunication Leads AI-Based Hiring Tools Astray — from adigaskell.org

Nearly every Fortune 500 company now uses artificial intelligence (AI) to screen resumes and assess test scores to find the best talent. However, new research from the University of Florida suggests these AI tools might not be delivering the results hiring managers expect.

The problem stems from a simple miscommunication between humans and machines: AI thinks it’s picking someone to hire, but hiring managers only want a list of candidates to interview.

Without knowing about this next step, the AI might choose safe candidates. But if it knows there will be another round of screening, it might suggest different and potentially stronger candidates.

AI agents explained: Why OpenAI, Google and Microsoft are building smarter AI agents — from digit.in by Jayesh Shinde

In the last two years, the world has seen a lot of breakneck advancement in the Generative AI space, right from text-to-text, text-to-image and text-to-video based Generative AI capabilities. And all of that’s been nothing short of stepping stones for the next big AI breakthrough – AI agents. According to Bloomberg, OpenAI is preparing to launch its first autonomous AI agent, which is codenamed ‘Operator,’ as soon as in January 2025.

Apparently, this OpenAI agent – or Operator, as it’s codenamed – is designed to perform complex tasks independently. By understanding user commands through voice or text, this AI agent will seemingly do tasks related to controlling different applications in the computer, send an email, book flights, and no doubt other cool things. Stuff that ChatGPT, Copilot, Google Gemini or any other LLM-based chatbot just can’t do on its own.

2025: The year ‘invisible’ AI agents will integrate into enterprise hierarchies  — from venturebeat.com by Taryn Plumb

In the enterprise of the future, human workers are expected to work closely alongside sophisticated teams of AI agents.

According to McKinsey, generative AI and other technologies have the potential to automate 60 to 70% of employees’ work. And, already, an estimated one-third of American workers are using AI in the workplace — oftentimes unbeknownst to their employers.

However, experts predict that 2025 will be the year that these so-called “invisible” AI agents begin to come out of the shadows and take more of an active role in enterprise operations.

“Agents will likely fit into enterprise workflows much like specialized members of any given team,” said Naveen Rao, VP of AI at Databricks and founder and former CEO of MosaicAI.

State of AI Report 2024 Summary — from ai-supremacy.com by Michael Spencer
Part I, Consolidation, emergence and adoption. 

Which AI Image Model Is the Best Speller? Let’s Find Out! — from whytryai.com by Daniel Nest
I test 7 image models to find those that can actually write.

The contestants
I picked 7 participants for today’s challenge:

  1. DALL-E 3 by OpenAI (via Microsoft Designer)
  2. FLUX1.1 [pro] by Black Forest Labs (via Glif)
  3. Ideogram 2.0 by Ideogram (via Ideogram)
  4. Imagen 3 by Google (via Image FX)
  5. Midjourney 6.1 by Midjourney (via Midjourney)
  6. Recraft V3 by Recraft (via Recraft)
  7. Stable Diffusion 3.5 Large by Stability AI (via Hugging Face)

How to get started with AI agents (and do it right) — from venturebeat.com by Taryn Plumb

So how can enterprises choose when to adopt third-party models, open source tools or build custom, in-house fine-tuned models? Experts weigh in.

OpenAI, Google and Anthropic Are Struggling to Build More Advanced AI — from bloomberg.com (behind firewall)
Three of the leading artificial intelligence companies are seeing diminishing returns from their costly efforts to develop newer models.

OpenAI and others seek new path to smarter AI as current methods hit limitations — from reuters.com by Krystal Hu and Anna Tong

Summary

  • AI companies face delays and challenges with training new large language models
  • Some researchers are focusing on more time for inference in new models
  • Shift could impact AI arms race for resources like chips and energy

NVIDIA Advances Robot Learning and Humanoid Development With New AI and Simulation Tools — from blogs.nvidia.com by Spencer Huang
New Project GR00T workflows and AI world model development technologies to accelerate robot dexterity, control, manipulation and mobility.

How Generative AI is Revolutionizing Product Development — from intelligenthq.com

A recent report from McKinsey predicts that generative AI could unlock up to $2.6 to $4.4 annually trillion in value within product development and innovation across various industries. This staggering figure highlights just how significantly generative AI is set to transform the landscape of product development. Generative AI app development is driving innovation by using the power of advanced algorithms to generate new ideas, optimize designs, and personalize products at scale. It is also becoming a cornerstone of competitive advantage in today’s fast-paced market. As businesses look to stay ahead, understanding and integrating technologies like generative AI app development into product development processes is becoming more crucial than ever.

What are AI Agents: How To Create a Based AI Agent — from ccn.com by Lorena Nessi

Key Takeaways

  • AI agents handle complex, autonomous tasks beyond simple commands, showcasing advanced decision-making and adaptability.
  • The Based AI Agent template by Coinbase and Replit provides an easy starting point for developers to build blockchain-enabled AI agents.
  • AI based agents specifically integrate with blockchain, supporting crypto wallets and transactions.
  • Securing API keys in development is crucial to protect the agent from unauthorized access.

What are AI Agents and How Are They Used in Different Industries? — from rtinsights.com by Salvatore Salamone
AI agents enable companies to make smarter, faster, and more informed decisions. From predictive maintenance to real-time process optimization, these agents are delivering tangible benefits across industries.

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“Introducing ChatGPT search” [OpenAI] + other items re: AI in general

On 11/01/2024, in Artificial Intelligence/Agents/LLMs/and Related, business, change, changing business models, cloud-based computing / apps / other cloud-related, communities of practice, emerging technologies, Google, human-computer interaction (HCI), India, innovation, intelligent systems, NVIDIA, Open AI, platforms, society, tools, United States, vendors, workplace, by Daniel Christian

Google’s worst nightmare just became reality — from aidisruptor.ai by Alex McFarland
OpenAI just launched an all-out assault on traditional search engines.

Google’s worst nightmare just became reality. OpenAI didn’t just add search to ChatGPT – they’ve launched an all-out assault on traditional search engines.

It’s the beginning of the end for search as we know it.

Let’s be clear about what’s happening: OpenAI is fundamentally changing how we’ll interact with information online. While Google has spent 25 years optimizing for ad revenue and delivering pages of blue links, OpenAI is building what users actually need – instant, synthesized answers from current sources.

The rollout is calculated and aggressive: ChatGPT Plus and Team subscribers get immediate access, followed by Enterprise and Education users in weeks, and free users in the coming months. This staged approach is about systematically dismantling Google’s search dominance.

Open for AI: India Tech Leaders Build AI Factories for Economic Transformation — from blogs.nvidia.com
Yotta Data Services, Tata Communications, E2E Networks and Netweb are among the providers building and offering NVIDIA-accelerated infrastructure and software, with deployments expected to double by year’s end.

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“AI in the Classroom” [LinkedIn Group from David Ross] + creativity, math, and AI in our learning ecosystems

On 09/04/2024, in Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, creativity, education, education technology, emerging technologies, experimentation, faculty/staff, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), India, innovation, instructional design, intelligent systems, K-12 related, learning, learning ecosystem, Learning Experience Design, mathematics, media/film, mobile learning, mobile technologies, multimedia, teachers, teaching & learning, tools, United States, universities, vendors, by Daniel Christian

This AI App Can Solve Your Math Homework, Steps Included — from link.wired.com by Will Knight

Right now, high schoolers and college students around the country are experimenting with free smartphone apps that help complete their math homework using generative AI. One of the most popular options on campus right now is the Gauth app, with millions of downloads. It’s owned by ByteDance, which is also TikTok’s parent company.

The Gauth app first launched in 2019 with a primary focus on mathematics, but soon expanded to other subjects as well, like chemistry and physics. It’s grown in relevance, and neared the top of smartphone download lists earlier this year for the education category. Students seem to love it. With hundreds of thousands of primarily positive reviews, Gauth has a favorable 4.8 star rating in the Apple App Store and Google Play Store.

All students have to do after downloading the app is point their smartphone at a homework problem, printed or handwritten, and then make sure any relevant information is inside of the image crop. Then Gauth’s AI model generates a step-by-step guide, often with the correct answer. 

From DSC:
I do hesitate to post this though, as I’ve seen numerous posting re: the dubious quality of AI as it relates to giving correct answers to math-related problems – or whether using AI-based tools help or hurt the learning process. The situation seems to be getting better, but as I understand it, we still have some progress to make in this area of mathematics.

Redefining Creativity in the Age of AI — from gettingsmart.com by David Ross

Key Points

  • Educational leaders must reconsider the definition of creativity, taking into account how generative AI tools can be used to produce novel and impactful creative work, similar to how film editors compile various elements into a cohesive, creative whole.
  • Generative AI democratizes innovation by allowing all students to become creators, expanding access to creative processes that were previously limited and fostering a broader inclusion of diverse talents and ideas in education.

AI-Powered Instructional Design at ASU — from drphilippahardman.substack.com by Dr. Philippa Hardman
How ASU’s Collaboration with OpenAI is Reshaping the Role of Instructional Designers

The developments and experiments at ASU provide a fascinating window into two things:

    1. How the world is reimagining learning in the age of AI;
    2. How the role of the instructional designer is changing in the age of AI.

In this week’s blog post, I’ll provide a summary of how faculty, staff and students at ASU are starting to reimagine education in the age of AI, and explore what this means for the instructions designers who work there.

PhysicsWallah’s ‘Alakh AI’ is Making Education Accessible to Millions in India — from analyticsindiamag.com by Siddharth Jindal

India’s ed-tech unicorn PhysicsWallah is using OpenAI’s GPT-4o to make education accessible to millions of students in India. Recently, the company launched a suite of AI products to ensure that students in Tier 2 & 3 cities can access high-quality education without depending solely on their enrolled institutions, as 85% of their enrollment comes from these areas.

Last year, AIM broke the news of PhysicsWallah introducing ‘Alakh AI’, its suite of generative AI tools, which was eventually launched at the end of December 2023. It quickly gained traction, amassing over 1.5 million users within two months of its release.

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Some nice creativity in architecture, photography, & sculpture

On 08/25/2024, in architecture, art, creativity, design, India, by Daniel Christian

In India, an Undulating Biophilic Farmhouse Wraps Around a Small Mango Grove — from thisiscolossal.com by Grace Ebert

Dive Into Marine Drama Around the World with This Year’s Ocean Photographer of the Year Finalists — from thisiscolossal.com by Kate Mothes & others

MODA ramps rooftop garden along Calgary multifamily housing — from dezeen.com by Kate Mazade

Beth Cavener Molds Thousands of Pounds of Clay into Provocative Animals that Grapple with Trust — — from thisiscolossal.com by Kate Mothes & Beth Cavener

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2024 Global Skills Report [Coursera]

On 06/14/2024, in Africa, Artificial Intelligence/Agents/LLMs/and Related, business, Canada, career development, change, cloud-based computing / apps / other cloud-related, corporate / business world, corporate universities / corporate training, cost of getting a degree, credentialing, future, future of higher education, game-changing environment, global / globalization, India, learning ecosystem, microlearning, pace of change, skills, training / L&D, UK, United States, universities, vendors, workplace, by Daniel Christian

2024 Global Skills Report -- from Coursera

  • AI literacy emerges as a global imperative
  • AI readiness initiatives drive emerging skill adoption across regions
  • The digital skills gap persists in a rapidly evolving job market
  • Cybersecurity skills remain crucial amid talent shortages and evolving threats
  • Micro-credentials are a rapid pathway for learners to prepare for in-demand jobs
  • The global gender gap in online learning continues to narrow, but regional disparities persist
  • Different regions prioritize different skills, but the majority focus on emerging or foundational capabilities

You can use the Global Skills Report 2024 to:

  • Identify critical skills for your students to strengthen employability
  • Align curriculum to drive institutional advantage nationally
  • Track emerging skill trends like GenAI and cybersecurity
  • Understand entry-level and digital role skill trends across six regions
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Robotics and AI moves forward, majorly. European Lawmakers Pass AI Act + other AI-related items

On 03/16/2024, in Africa, Artificial Intelligence/Agents/LLMs/and Related, Asia, Australia, biology, bots, Canada, corporate / business world, emerging technologies, Europe, future, game-changing environment, global / globalization, Google, health, human-computer interaction (HCI), India, innovation, intelligent systems, learning ecosystem, legislatures / government / legal, Natural Language Processing (NLP), NVIDIA, Open AI, open courseware and systems, platforms, policy, productivity / tips and tricks, programming, research, robotics, society, STEAM-related, tools, trends, UK, Uncategorized, United States, vendors, vision/possibilities, voice recognition / voice enabled interfaces, by Daniel Christian

[Report] Generative AI Top 150: The World’s Most Used AI Tools (Feb 2024) — from flexos.work by Daan van Rossum
FlexOS.work surveyed Generative AI platforms to reveal which get used most. While ChatGPT reigns supreme, countless AI platforms are used by millions.

As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme.
…
2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch.
As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.

With 1.67 billion visits, ChatGPT represents over half of this traffic and is already bigger than Netflix, Microsoft, Pinterest, Twitch, and The New York Times.

.

Artificial Intelligence Act: MEPs adopt landmark law — from europarl.europa.eu

  • Safeguards on general purpose artificial intelligence
  • Limits on the use of biometric identification systems by law enforcement
  • Bans on social scoring and AI used to manipulate or exploit user vulnerabilities
  • Right of consumers to launch complaints and receive meaningful explanations


The untargeted scraping of facial images from CCTV footage to create facial recognition databases will be banned © Alexander / Adobe Stock

A New Surge in Power Use Is Threatening U.S. Climate Goals — from nytimes.com by Brad Plumer and Nadja Popovich
A boom in data centers and factories is straining electric grids and propping up fossil fuels.

Something unusual is happening in America. Demand for electricity, which has stayed largely flat for two decades, has begun to surge.

Over the past year, electric utilities have nearly doubled their forecasts of how much additional power they’ll need by 2028 as they confront an unexpected explosion in the number of data centers, an abrupt resurgence in manufacturing driven by new federal laws, and millions of electric vehicles being plugged in.

OpenAI and the Fierce AI Industry Debate Over Open Source — from bloomberg.com by Rachel Metz

The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?
…
The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.

Researchers develop AI-driven tool for near real-time cancer surveillance — from medicalxpress.com by Mark Alewine; via The Rundown AI
Artificial intelligence has delivered a major win for pathologists and researchers in the fight for improved cancer treatments and diagnoses.

In partnership with the National Cancer Institute, or NCI, researchers from the Department of Energy’s Oak Ridge National Laboratory and Louisiana State University developed a long-sequenced AI transformer capable of processing millions of pathology reports to provide experts researching cancer diagnoses and management with exponentially more accurate information on cancer reporting.

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