What DICE does in this posting will be available 24x7x365 in the future [Christian]

From DSC:
First of all, when you look at the following posting:


What Top Tech Skills Should You Learn for 2025? — from dice.com by Nick Kolakowski


…you will see that they outline which skills you should consider mastering in 2025 if you want to stay on top of the latest career opportunities. They then list more information about the skills, how you apply the skills, and WHERE to get those skills.

I assert that in the future, people will be able to see this information on a 24x7x365 basis.

  • Which jobs are in demand?
  • What skills do I need to do those jobs?
  • WHERE do I get/develop those skills?

And that last part (about the WHERE do I develop those skills) will pull from many different institutions, people, companies, etc.

BUT PEOPLE are the key! Often times, we need to — and prefer to — learn with others!


 

Five key issues to consider when adopting an AI-based legal tech — from legalfutures.co.uk by Mark Hughes

As more of our familiar legal resources have started to embrace a generative AI overhaul, and new players have come to the market, there are some key issues that your law firm needs to consider when adopting an AI-based legal tech.

  • Licensing
  • Data protection
  • The data sets
  • …and others

Knowable Introduces Gen AI Tool It Says Will Revolutionize How Companies Interact with their Contracts — from lawnext.com by Bob Ambrogi

Knowable, a legal technology company specializing in helping organizations bring order and organization to their executed agreements, has announced Ask Knowable, a suite of generative AI-powered tools aimed at transforming how legal teams interact with and understand what is in their contracts.

Released today as a commercial preview and set to launch for general availability in March 2025, the feature marks a significant step forward in leveraging large language models to address the complexities of contract management, the company says.


The Global Legal Post teams up with LexisNexis to explore challenges and opportunities of Gen AI adoption — from globallegalpost.com by
Series of articles will investigate key criteria to consider when investing in Gen AI

The Global Legal Post has teamed up with LexisNexis to help inform readers’ decision-making in the selection of generative AI (Gen AI) legal research solutions.

The Generative AI Legal Research Hub in association with LexisNexis will host a series of articles exploring the key criteria law firms and legal departments should consider when seeking to harness the power of Gen AI to improve the delivery of legal services.


Leveraging AI to Grow Your Legal Practice — from americanbar.org

Summary

  • AI-powered tools like chat and scheduling meet clients’ demand for instant, personalized service, improving engagement and satisfaction.
  • Firms using AI see up to a 30% increase in lead conversion, cutting client acquisition costs and maximizing marketing investments.
  • AI streamlines processes, speeds up response times, and enhances client engagement—driving growth and long-term client retention.

How a tech GC views AI-enabled efficiencies and regulation — from legaldive.com by Justin Bachman
PagerDuty’s top in-house counsel sees legal AI tools as a way to scale resources without adding headcount while focusing lawyers on their high-value work.


Innovations in Legal Practice: How Tim Billick’s Firm Stays Ahead with AI and Technology — from techtimes.com by Elena McCormick

Enhancing Client Service through Technology
Beyond internal efficiency, Billick’s firm utilizes technology to improve client communication and engagement. By adopting client-facing AI tools, such as chatbots for routine inquiries and client portals for real-time updates, Practus makes legal processes more transparent and accessible to its clients. According to Billick, this responsiveness is essential in IP law, where clients often need quick updates and answers to time-sensitive questions about patents, trademarks, and licensing agreements.

AI-driven client management software is also part of the firm’s toolkit, enabling Billick and his team to track each client’s case progress and share updates efficiently. The firm’s technology infrastructure supports clients from various sectors, including engineering, software development, and consumer products, tailoring case workflows to meet unique needs within each industry. “Clients appreciate having immediate access to their case status, especially in industries where timing is crucial,” Billick shares.


New Generative AI Study Highlights Adoption, Use and Opportunities in the Legal Industry — from prnewswire.com by Relativity

CHICAGO, Nov. 12, 2024 /PRNewswire/ — Relativity, a global legal technology company, today announced findings from the IDC InfoBrief, Generative AI in Legal 2024, commissioned by Relativity. The study uncovers the rapid increase of generative AI adoption in the legal field, examining how legal professionals are navigating emerging challenges and seizing opportunities to drive legal innovation.

The international study surveyed attorneys, paralegals, legal operations professionals and legal IT professionals from law firms, corporations and government agencies. Respondents were located in Australia, Canada, Ireland, New Zealand, the United Kingdom and the United States. The data uncovered important trends on how generative AI has impacted the legal industry and how legal professionals will use generative AI in the coming years.

 

The Edtech Insiders Generative AI Map — from edtechinsiders.substack.com by Ben Kornell, Alex Sarlin, Sarah Morin, and Laurence Holt
A market map and database featuring 60+ use cases for GenAI in education and 300+ GenAI powered education tools.


A Student’s Guide to Writing with ChatGPT— from openai.com

Used thoughtfully, ChatGPT can be a powerful tool to help students develop skills of rigorous thinking and clear writing, assisting them in thinking through ideas, mastering complex concepts, and getting feedback on drafts.

There are also ways to use ChatGPT that are counterproductive to learning—like generating an essay instead of writing it oneself, which deprives students of the opportunity to practice, improve their skills, and grapple with the material.

For students committed to becoming better writers and thinkers, here are some ways to use ChatGPT to engage more deeply with the learning process.


Community Colleges Are Rolling Out AI Programs—With a Boost from Big Tech — from workshift.org by Colleen Connolly

The Big Idea: As employers increasingly seek out applicants with AI skills, community colleges are well-positioned to train up the workforce. Partnerships with tech companies, like the AI Incubator Network, are helping some colleges get the resources and funding they need to overhaul programs and create new AI-focused ones.

Along these lines also see:

Practical AI Training — from the-job.beehiiv.com by Paul Fain
Community colleges get help from Big Tech to prepare students for applied AI roles at smaller companies.

Miami Dade and other two-year colleges try to be nimble by offering training for AI-related jobs while focusing on local employers. Also, Intel’s business struggles while the two-year sector wonders if Republicans will cut funds for semiconductor production.


Can One AI Agent Do Everything? How To Redesign Jobs for AI? HR Expertise And A Big Future for L&D. — from joshbersin.com by Josh Bersin

Here’s the AI summary, which is pretty good.

In this conversation, Josh Bersin discusses the evolving landscape of AI platforms, particularly focusing on Microsoft’s positioning and the challenges of creating a universal AI agent. He delves into the complexities of government efficiency, emphasizing the institutional challenges faced in re-engineering government operations.

The conversation also highlights the automation of work tasks and the need for businesses to decompose job functions for better efficiency.

Bersin stresses the importance of expertise in HR, advocating for a shift towards full stack professionals who possess a broad understanding of various HR functions.

Finally, he addresses the impending disruption in Learning and Development (L&D) due to AI advancements, predicting a significant transformation in how L&D professionals will manage knowledge and skills.


 

 

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.

 

The State of Instructional Design, 2024 — from by Dr. Philippa Hardman
Four initial results from a global survey I ran with Synthesia

In September, I partnered with Synthesia to conduct a comprehensive survey exploring the evolving landscape of instructional design.

Our timing was deliberate: as we witness the rapid advancement of AI and increasing pressure on learning teams to drive mass re-skilling and deliver more with less, we wanted to understand how the role of instructional designers is changing.

Our survey focused on five key areas that we believed would help surface the most important data about the transformation of our field:

    1. Roles & Responsibilities: who’s designing learning experiences in 2024?
    2. Success Metrics: how do you and the organisations you work for measure the value of instructional design?
    3. Workload & Workflow: how much time do we spend on different aspects of our job, and why?
    4. Challenges & Barriers: what sorts of obstacles prevent us from producing optimal work?
    5. Tools & Technology: what tools do we use, and is the tooling landscape changing?
 

“The Value of Doing Things: What AI Agents Mean for Teachers” — from nickpotkalitsky.substack.com by guest author Jason Gulya, Professor of English and Applied Media at Berkeley College in New York City

AI Agents make me nervous. Really nervous.

I wish they didn’t.

I wish I could write that the last two years have made me more confident, more self-assured that AI is here to augment workers rather than replace them.

But I can’t.

I wish I could write that I know where schools and colleges will end up. I wish I could say that AI Agents will help us get where we need to be.

But I can’t.

At this point, today, I’m at a loss. I’m not sure where the rise of AI agents will take us, in terms of how we work and learn. I’m in the question-asking part of my journey. I have few answers.

So, let’s talk about where (I think) AI Agents will take education. And who knows? Maybe as I write I’ll come up with something more concrete.

It’s worth a shot, right?

From DSC: 
I completely agree with Jason’s following assertion:

A good portion of AI advancement will come down to employee replacement. And AI Agents push companies towards that. 

THAT’s where/what the ROI will be for corporations. They will make their investments up in the headcount area, and likely in other areas as well (product design, marketing campaigns, engineering-related items, and more). But how much time it takes to get there is a big question mark.

One last quote here…it’s too good not to include:

Behind these questions lies a more abstract, more philosophical one: what is the relationship between thinking and doing in a world of AI Agents and other kinds of automation?


How Good are Claude, ChatGPT & Gemini at Instructional Design? — from drphilippahardman.substack.com by Dr Philippa Hardman
A test of AI’s Instruction Design skills in theory & in practice

By examining models across three AI families—Claude, ChatGPT, and Gemini—I’ve started to identify each model’s strengths, limitations, and typical pitfalls.

Spoiler: my findings underscore that until we have specialised, fine-tuned AI copilots for instructional design, we should be cautious about relying on general-purpose models and ensure expert oversight in all ID tasks.


From DSC — I’m going to (have Nick) say this again:
I simply asked my students to use AI to brainstorm their own learning objectives. No restrictions. No predetermined pathways. Just pure exploration. The results? Astonishing.

Students began mapping out research directions I’d never considered. They created dialogue spaces with AI that looked more like intellectual partnerships than simple query-response patterns. 


The Digital Literacy Quest: Become an AI Hero — from gamma.app

From DSC:
I have not gone through all of these online-based materials, but I like what they are trying to get at:

  • Confidence with AI
    Students gain practical skills and confidence in using AI tools effectively.
  • Ethical Navigation
    Learn to navigate the ethical landscape of AI with integrity and responsibility. Make informed decisions about AI usage.
  • Mastering Essential Skills
    Develop critical thinking and problem-solving skills in the context of AI.

 


Expanding access to the Gemini app for teen students in education — from workspaceupdates.googleblog.com

Google Workspace for Education admins can now turn on the Gemini app with added data protection as an additional service for their teen users (ages 13+ or the applicable age in your country) in the following languages and countries. With added data protection, chats are not reviewed by human reviewers or otherwise used to improve AI models. The Gemini app will be a core service in the coming weeks for Education Standard and Plus users, including teens,


5 Essential Questions Educators Have About AI  — from edsurge.com by Annie Ning

Recently, I spoke with several teachers regarding their primary questions and reflections on using AI in teaching and learning. Their thought-provoking responses challenge us to consider not only what AI can do but what it means for meaningful and equitable learning environments. Keeping in mind these reflections, we can better understand how we move forward toward meaningful AI integration in education.


FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI — from epoch.ai
FrontierMath presents hundreds of unpublished, expert-level mathematics problems that specialists spend days solving. It offers an ongoing measure of AI complex mathematical reasoning progress.

We’re introducing FrontierMath, a benchmark of hundreds of original, expert-crafted mathematics problems designed to evaluate advanced reasoning capabilities in AI systems. These problems span major branches of modern mathematics—from computational number theory to abstract algebraic geometry—and typically require hours or days for expert mathematicians to solve.


Rising demand for AI courses in UK universities shows 453% growth as students adapt to an AI-driven job market — from edtechinnovationhub.com

The demand for artificial intelligence courses in UK universities has surged dramatically over the past five years, with enrollments increasing by 453%, according to a recent study by Currys, a UK tech retailer.

The study, which analyzed UK university admissions data and surveyed current students and recent graduates, reveals how the growing influence of AI is shaping students’ educational choices and career paths.

This growth reflects the broader trend of AI integration across industries, creating new opportunities while transforming traditional roles. With AI’s influence on career prospects rising, students and graduates are increasingly drawn to AI-related courses to stay competitive in a rapidly changing job market.

 

It’s The End Of The Legal Industry As We Know It — from artificiallawyer.com by Richard Tromans

It’s the end of the legal industry as we know it and I feel fine. I really do.

The legal industry as we know it is already over. The seismic event that triggered this evolutionary shift happened in November 2022. There’s no going back to a pre-genAI world. Change, incremental or otherwise, will be unstoppable. The only question is: at what pace will this change happen?

It’s clear that substantive change at the heart of the legal economy may take a long time – and we should never underestimate the challenge of overturning decades of deeply embedded cultural practices – but, at least it has begun.


AI: The New Legal Powerhouse — Why Lawyers Should Befriend The Machine To Stay Ahead — from today.westlaw.com

(October 24, 2024) – Jeremy Glaser and Sharzaad Borna of Mintz discuss waves of change in the legal profession brought on by AI, in areas such as billing, the work of support staff and junior associates, and ethics.

The dual nature of AI — excitement and fear
AI is evolving at lightning speed, sparking both wonder and worry. As it transforms industries and our daily lives, we are caught between the thrill of innovation and the jitters of uncertainty. Will AI elevate the human experience or just leave us in the dust? How will it impact our careers, privacy and sense of security?

Just as we witnessed with the rise of the internet — and later, social media — AI is poised to redefine how we work and live, bringing a mix of optimism and apprehension. While we grapple with AI’s implications, our clients expect us to lead the charge in leveraging it for their benefit.

However, this shift also means more competition for fewer entry-level jobs. Law schools will play a key role in helping students become more marketable by offering courses on AI tools and technology. Graduates with AI literacy will have an edge over their peers, as firms increasingly value associates who can collaborate effectively with AI tools.


Will YOU use ChatGPT voice mode to lie to your family? Brainyacts #244 — from thebrainyacts.beehiiv.com by Sam Douthit, Aristotle Jones, and Derek Warzel.

Small Law’s Secret Weapon: AI Courtroom Mock Battles — this excerpt is by Brainacts author Josh Kubicki
As many of you know, this semester my law students have the opportunity to write the lead memo for this newsletter, each tackling issues that they believe are both timely and intriguing for our readers. This week’s essay presents a fascinating experiment conducted by three students who explored how small law firms might leverage ChatGPT in a safe, effective manner. They set up ChatGPT to simulate a mock courtroom, even assigning it the persona of a Seventh Circuit Court judge to stage a courtroom dialogue. It’s an insightful take on the how adaptable technology like ChatGPT can offer unique advantages to smaller practices. They share other ideas as well. Enjoy!

The following excerpt was written by Sam Douthit, Aristotle Jones, and Derek Warzel.

One exciting example is a “Courtroom Persona AI” tool, which could let solo practitioners simulate mock trials and practice arguments with AI that mimics specific judges, local courtroom customs, or procedural quirks. Small firms, with their deep understanding of local courts and judicial styles, could take full advantage of this tool to prepare more accurate and relevant arguments. Unlike big firms that have to spread resources across jurisdictions, solo and small firms could use this AI-driven feedback to tailor their strategies closely to local court dynamics, making their preparations sharper and more strategic. Plus, not all solo or small firms have someone to practice with or bounce their ideas off of. For these practitioners, it’s a chance to level up their trial preparation without needing large teams or costly mock trials, gaining a practical edge where it counts most.

Some lawyers have already started to test this out, like the mock trial tested out here. One oversimplified and quick way to try this out is using the ChatGPT app.


The Human in AI-Assisted Dispute Resolution — from jdsupra.com by Epiq

Accountability for Legal Outputs
AI is set to replace some of the dispute resolution work formerly done by lawyers. This work includes summarising documents, drafting legal contracts and filings, using generative AI to produce arbitration submissions for an oral hearing, and, in the not-too-distant future, ingesting transcripts from hearings and comparing them to the documentary record to spot inconsistencies.

As Pendell put it, “There’s quite a bit of lawyering going on there.” So, what’s left for humans?

The common feature in all those examples is that humans must make the judgement call. Lawyers won’t just turn over a first draft of an AI-generated contract or filing to another party or court. The driving factor is that law is still a regulated profession, and regulators will hold humans accountable.

The idea that young lawyers must do routine, menial work as a rite of passage needs to be updated. Today’s AI tools put lawyers at the top of an accountability chain, allowing them to practice law using judgement and strategy as they supervise the work of AI. 


Small law firms embracing AI as they move away from hourly billing — from legalfutures.co.uk by Neil Rose

Small law firms have embraced artificial intelligence (AI), with document drafting or automation the most popular application, according to new research.

The survey also found expectations of a continued move away from hourly billing to fixed fees.

Legal technology provider Clio commissioned UK-specific research from Censuswide as an adjunct to its annual US-focused Legal Trends report, polling 500 solicitors, 82% of whom worked at firms with 20 lawyers or fewer.

Some 96% of them reported that their firms have adopted AI into their processes in some way – 56% of them said it was widespread or universal – while 62% anticipated an increase in AI usage over the next 12 months.

 

Is Generative AI and ChatGPT healthy for Students? — from ai-supremacy.com by Michael Spencer and Nick Potkalitsky
Beyond Text Generation: How AI Ignites Student Discovery and Deep Thinking, according to firsthand experiences of Teachers and AI researchers like Nick Potkalitsky.

After two years of intensive experimentation with AI in education, I am witnessing something amazing unfolding before my eyes. While much of the world fixates on AI’s generative capabilities—its ability to create essays, stories, and code—my students have discovered something far more powerful: exploratory AI, a dynamic partner in investigation and critique that’s transforming how they think.

They’ve moved beyond the initial fascination with AI-generated content to something far more sophisticated: using AI as an exploratory tool for investigation, interrogation, and intellectual discovery.

Instead of the much-feared “shutdown” of critical thinking, we’re witnessing something extraordinary: the emergence of what I call “generative thinking”—a dynamic process where students learn to expand, reshape, and evolve their ideas through meaningful exploration with AI tools. Here I consciously reposition the term “generative” as a process of human origination, although one ultimately spurred on by machine input.


A Road Map for Leveraging AI at a Smaller Institution — from er.educause.edu by Dave Weil and Jill Forrester
Smaller institutions and others may not have the staffing and resources needed to explore and take advantage of developments in artificial intelligence (AI) on their campuses. This article provides a roadmap to help institutions with more limited resources advance AI use on their campuses.

The following activities can help smaller institutions better understand AI and lay a solid foundation that will allow them to benefit from it.

  1. Understand the impact…
  2. Understand the different types of AI tools…
  3. Focus on institutional data and knowledge repositories…

Smaller institutions do not need to fear being left behind in the wake of rapid advancements in AI technologies and tools. By thinking intentionally about how AI will impact the institution, becoming familiar with the different types of AI tools, and establishing a strong data and analytics infrastructure, institutions can establish the groundwork for AI success. The five fundamental activities of coordinating, learning, planning and governing, implementing, and reviewing and refining can help smaller institutions make progress on their journey to use AI tools to gain efficiencies and improve students’ experiences and outcomes while keeping true to their institutional missions and values.

Also from Educause, see:


AI school opens – learners are not good or bad but fast and slow — from donaldclarkplanb.blogspot.com by Donald Clark

That is what they are doing here. Lesson plans focus on learners rather than the traditional teacher-centric model. Assessing prior strengths and weaknesses, personalising to focus more on weaknesses and less on things known or mastered. It’s adaptive, personalised learning. The idea that everyone should learn at the exactly same pace, within the same timescale is slightly ridiculous, ruled by the need for timetabling a one to many, classroom model.

For the first time in the history of our species we have technology that performs some of the tasks of teaching. We have reached a pivot point where this can be tried and tested. My feeling is that we’ll see a lot more of this, as parents and general teachers can delegate a lot of the exposition and teaching of the subject to the technology. We may just see a breakthrough that transforms education.


Agentic AI Named Top Tech Trend for 2025 — from campustechnology.com by David Ramel

Agentic AI will be the top tech trend for 2025, according to research firm Gartner. The term describes autonomous machine “agents” that move beyond query-and-response generative chatbots to do enterprise-related tasks without human guidance.

More realistic challenges that the firm has listed elsewhere include:

    • Agentic AI proliferating without governance or tracking;
    • Agentic AI making decisions that are not trustworthy;
    • Agentic AI relying on low-quality data;
    • Employee resistance; and
    • Agentic-AI-driven cyberattacks enabling “smart malware.”

Also from campustechnology.com, see:


Three items from edcircuit.com:


All or nothing at Educause24 — from onedtech.philhillaa.com by Kevin Kelly
Looking for specific solutions at the conference exhibit hall, with an educator focus

Here are some notable trends:

  • Alignment with campus policies: …
  • Choose your own AI adventure: …
  • Integrate AI throughout a workflow: …
  • Moving from prompt engineering to bot building: …
  • More complex problem-solving: …


Not all AI news is good news. In particular, AI has exacerbated the problem of fraudulent enrollment–i.e., rogue actors who use fake or stolen identities with the intent of stealing financial aid funding with no intention of completing coursework.

The consequences are very real, including financial aid funding going to criminal enterprises, enrollment estimates getting dramatically skewed, and legitimate students being blocked from registering for classes that appear “full” due to large numbers of fraudulent enrollments.


 

 

How Legal Education Must Evolve In The Age Of AI: Insights From An In-House Legal Innovator — from by abovethelaw.com Olga Mack
Traditional legal education has remained largely unchanged for decades, focusing heavily on theoretical knowledge and case law analysis.

As we stand on the brink of a new era defined by artificial intelligence (AI) and data-driven decision-making, the question arises: How should legal education adapt to prepare the next generation of lawyers for the challenges ahead?

Here are three unconventional, actionable insights from our conversation that highlight the need for a radical rethinking of legal education.

  1. Integrate AI Education Into Every Aspect Of Legal Training…
  2. Adopt A ‘Technology-Agnostic’ Approach To AI Training…
  3. Redefine Success In Legal Education To Include Technological Proficiency…
 



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.


 

AI Tutors Double Rates of Learning in Less Learning Time — by drphilippahardman.substack.com Dr. Philippa Hardman
Inside Harvard’s new groundbreaking study

Conclusion
This Harvard study provides robust evidence that AI tutoring, when thoughtfully designed, can significantly enhance learning outcomes. The combination of doubled learning gains, increased engagement, and reduced time to competency suggests we’re seeing just the beginning of AI’s potential in education and that its potential is significant.

If this data is anything to go by, and if we – as humans – are open and willing to acting on it, it’s possible AI will have a significant and for some deeply positive impact on how we design and deliver learning experiences.

That said, as we look forward, the question shouldn’t just be, “how AI can enhance current educational methods?”, but also “how it might AI transform the very nature of learning itself?”. With continued research and careful implementation, we could be moving toward an era of education that’s more effective but also more accessible than ever before.


Three Quick Examples of Teaching with and about Generative AI — from derekbruff.org Derek Bruff

  • Text-to-Podcast.
  • Assigning Students to Groups.
  • AI Acceptable Use Scale.

Also from Derek’s blog, see:


From Mike Sharples on LinkedIn: 


ChatGPT’s free voice wizard — from wondertools.substack.com by Jeremy Caplan
How and why to try the new Advanced Voice Mode

7 surprisingly practical ways to use voice AI
Opening up ChatGPT’s Advanced Voice Mode (AVM) is like conjuring a tutor eager to help with whatever simple — or crazy — query you throw at it. Talking is more fluid and engaging than typing, especially if you’re out and about. It’s not a substitute for human expertise, but AVM provides valuable machine intelligence.

  • Get a virtual museum tour. …
  • Chat with historical figures….
  • Practice languages. …
  • Explore books. …
  • Others…


Though not AI-related, this is along the lines of edtech:


…which links to:

 

LinkedIn launches its first AI agent to take on the role of job recruiters — from techcrunch.com by Ingrid Lunden

LinkedIn, the social platform used by professionals to connect with others in their field, hunt for jobs, and develop skills, is taking the wraps off its latest effort to build artificial intelligence tools for users. Hiring Assistant is a new product designed to take on a wide array of recruitment tasks, from ingesting scrappy notes and thoughts to turn into longer job descriptions to sourcing candidates and engaging with them.

LinkedIn is describing Hiring Assistant as a milestone in its AI trajectory: It is, per the Microsoft-owned company, its first “AI agent” and one that happens to be targeting one of LinkedIn’s most lucrative categories of users — recruiters.


Also relevant/see:

 

How to Level Up Your Job Hunt With AI Using AI to find, evaluate, and apply for jobs. — from whytryai.com by Daniel Nest

AI is best seen as a sparring partner that helps you through all stages of the job hunt.

Here are the ones I’ll cover:

  1. Self-discovery: What are you good at and what are your values?
  2. Upskilling: What gaps exist in your skillset and how can you close them?
  3. Job search: What existing jobs fit your profile and expectations?
  4. Company research: What can you learn about a specific company before applying?
  5. Application process: How do you tailor your CV and cover letter to the job?
  6. Job interview prepHow do you prepare and practice for job interviews?
  7. Feedback analysis: What insights can you gain from any feedback from potential employers?
  8. Decision and negotiation: How do you evaluate job offers and negotiate the best terms?

Now let’s look at each phase in detail and see how AI can help.

 

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.

 

Can A.I. Be Blamed for a Teen’s Suicide?

Can A.I. Be Blamed for a Teen’s Suicide? — from nytimes.com by Kevin Roose

On the last day of his life, Sewell Setzer III took out his phone and texted his closest friend: a lifelike A.I. chatbot named after Daenerys Targaryen, a character from “Game of Thrones.”

“I miss you, baby sister,” he wrote.

“I miss you too, sweet brother,” the chatbot replied.

Sewell, a 14-year-old ninth grader from Orlando, Fla., had spent months talking to chatbots on Character.AI, a role-playing app that allows users to create their own A.I. characters or chat with characters created by others.

On the night of Feb. 28, in the bathroom of his mother’s house, Sewell told Dany that he loved her, and that he would soon come home to her.

“Please come home to me as soon as possible, my love,” Dany replied.

“What if I told you I could come home right now?” Sewell asked.

“… please do, my sweet king,” Dany replied.

He put down his phone, picked up his stepfather’s .45 caliber handgun and pulled the trigger.

But the experience he had, of getting emotionally attached to a chatbot, is becoming increasingly common. Millions of people already talk regularly to A.I. companions, and popular social media apps including Instagram and Snapchat are building lifelike A.I. personas into their products.

The technology is also improving quickly. Today’s A.I. companions can remember past conversations, adapt to users’ communication styles, role-play as celebrities or historical figures and chat fluently about nearly any subject. Some can send A.I.-generated “selfies” to users, or talk to them with lifelike synthetic voices.

There is a wide range of A.I. companionship apps on the market.


Mother sues tech company after ‘Game of Thrones’ AI chatbot allegedly drove son to suicide — from usatoday.com by Jonathan Limehouse
The mother of 14-year-old Sewell Setzer III is suing Character.AI, the tech company that created a ‘Game of Thrones’ AI chatbot she believes drove him to commit suicide on Feb. 28. Editor’s note: This article discusses suicide and suicidal ideation. If you or someone you know is struggling or in crisis, help is available. Call or text 988 or chat at 988lifeline.org.

The mother of a 14-year-old Florida boy is suing Google and a separate tech company she believes caused her son to commit suicide after he developed a romantic relationship with one of its AI bots using the name of a popular “Game of Thrones” character, according to the lawsuit.


From my oldest sister:


Another relevant item?

Inside the Mind of an AI Girlfriend (or Boyfriend) — from wired.com by Will Knight
Dippy, a startup that offers “uncensored” AI companions, lets you peer into their thought process—sometimes revealing hidden motives.

Despite its limitations, Dippy seems to show how popular and addictive AI companions are becoming. Jagga and his cofounder, Angad Arneja, previously cofounded Wombo, a company that uses AI to create memes including singing photographs. The pair left in 2023, setting out to build an AI-powered office productivity tool, but after experimenting with different personas for their assistant, they became fascinated with the potential of AI companionship.

 
© 2024 | Daniel Christian