What enterprise leaders can learn from LinkedIn’s success with AI agents — from venturebeat.com by Taryn Plumb

LinkedIn is taking a multi-agent approach, using what Agarwal described as a collection of agents collaborating to get the job done. A supervisor agent orchestrates all the tasks among other agents, including intake and sourcing agents that are “good at one and only one job.”

All communication occurs through the supervisor agent, which receives input from human users regarding role qualifications and other details. That agent then provides context to a sourcing agent, which culls through recruiter search stacks and sources candidates along with descriptions on why they might be a good fit for the job. That information is then returned to the supervisor agent, which begins actively interacting with the human user.

“Then you can collaborate with it, right?” said Agarwal. “You can modify it. No longer do you have to talk to the platform in keywords. You can talk to the platform in natural language, and it’s going to answer you back, it’s going to have a conversation with you.”

 

Mary Meeker AI Trends Report: Mind-Boggling Numbers Paint AI’s Massive Growth Picture — from ndtvprofit.com
Numbers that prove AI as a tech is unlike any other the world has ever seen.

Here are some incredibly powerful numbers from Mary Meeker’s AI Trends report, which showcase how artificial intelligence as a tech is unlike any other the world has ever seen.

  • AI took only three years to reach 50% user adoption in the US; mobile internet took six years, desktop internet took 12 years, while PCs took 20 years.
  • ChatGPT reached 800 million users in 17 months and 100 million in only two months, vis-à-vis Netflix’s 100 million (10 years), Instagram (2.5 years) and TikTok (nine months).
  • ChatGPT hit 365 billion annual searches in two years (2024) vs. Google’s 11 years (2009)—ChatGPT 5.5x faster than Google.

Above via Mary Meeker’s AI Trend-Analysis — from getsuperintel.com by Kim “Chubby” Isenberg
How AI’s rapid rise, efficiency race, and talent shifts are reshaping the future.

The TLDR
Mary Meeker’s new AI trends report highlights an explosive rise in global AI usage, surging model efficiency, and mounting pressure on infrastructure and talent. The shift is clear: AI is no longer experimental—it’s becoming foundational, and those who optimize for speed, scale, and specialization will lead the next wave of innovation.

 

Also see Meeker’s actual report at:

Trends – Artificial Intelligence — from bondcap.com by Mary Meeker / Jay Simons / Daegwon Chae / Alexander Krey



The Rundown: Meta aims to release tools that eliminate humans from the advertising process by 2026, according to a report from the WSJ — developing an AI that can create ads for Facebook and Instagram using just a product image and budget.

The details:

  • Companies would submit product images and budgets, letting AI craft the text and visuals, select target audiences, and manage campaign placement.
  • The system will be able to create personalized ads that can adapt in real-time, like a car spot featuring mountains vs. an urban street based on user location.
  • The push would target smaller companies lacking dedicated marketing staff, promising professional-grade advertising without agency fees or skillset.
  • Advertising is a core part of Mark Zuckerberg’s AI strategy and already accounts for 97% of Meta’s annual revenue.

Why it matters: We’re already seeing AI transform advertising through image, video, and text, but Zuck’s vision takes the process entirely out of human hands. With so much marketing flowing through FB and IG, a successful system would be a major disruptor — particularly for small brands that just want results without the hassle.

 

AI prompting secrets EXPOSED — from theneurondaily.com by Grant Harvey

Here are the three best prompting guides:

  • Anthropic’s “Prompt Engineering Overview is a free masterclass that’s worth its weight in gold. Their “constitutional AI prompting” section helped us create a content filter that actually works—unlike the one that kept flagging our coffee bean reviews as “inappropriate.” Apparently “rich body” triggered something…
  • OpenAI’s “Cookbook is like having a Michelin-star chef explain cooking—simple for beginners, but packed with pro techniques. Their JSON formatting examples saved us 3 hours of debugging last week…
  • Google’s “Prompt Design Strategies breaks down complex concepts with clear examples. Their before/after gallery showing how slight prompt tweaks improve results made us rethink everything we knew about getting quality outputs.

Pro tip: Save these guides as PDFs before they disappear behind paywalls. The best AI users keep libraries of these resources for quick reference.
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My personal review of 10+ AI agents and what actually works — from aiwithallie.beehiiv.com by Allie K. Miller
The AI Agents Report Card you wish your boss gave you.

What you’ll learn in this newsletter:

  • Which AI agents actually deliver value right now
  • Where even the best agents still fall embarrassingly short
  • The surprising truth about those sleek, impressive interfaces
  • The economics of delegating to AI (and when it’s worth the premium)
  • Five practical takeaways to guide your AI strategy

Employees Keep Their AI-Driven Productivity a Secret — from hrotoday.com; via The Neuron

“To address this, organizations should consider building a sustainable AI governance model, prioritizing transparency, and tackling the complex challenge of AI-fueled imposter syndrome through reinvention. Employers who fail to approach innovation with empathy and provide employees with autonomy run the risk of losing valuable staff and negatively impacting employee productivity.”  

Key findings from the report include the following:

  • Employees are keeping their productivity gains a secret from their employers. …
  • In-office employees may still log in remotely after hours. …
  • Younger workers are more likely to switch jobs to gain more flexibility.

AI discovers new math algorithms — from by Zach Mink & Rowan Cheung
PLUS: Anthropic reportedly set to launch new Sonnet, Opus models

The Rundown: Google just debuted AlphaEvolve, a coding agent that harnesses Gemini and evolutionary strategies to craft algorithms for scientific and computational challenges — driving efficiency inside Google and solving historic math problems.

Why it matters: Yesterday, we had OpenAI’s Jakub Pachocki saying AI has shown “significant evidence” of being capable of novel insights, and today Google has taken that a step further. Math plays a role in nearly every aspect of life, and AI’s pattern and algorithmic strengths look ready to uncover a whole new world of scientific discovery.


AI agents are set to explode: Reports forecast 45% annual growth rate — from hrexecutive.com by Jill Barth

At the recent HR Executive and Future Talent Council event at Bentley University near Boston, I talked with Top 100 HR Tech Influencer Joey Price about what he’s hearing from HR leaders. Price is president and CEO of Jumpstart HR and executive analyst at Aspect43, Jumpstart HR’s HR?tech research division, and author of a valuable new book, The Power of HR: How to Make an Organizational Impact as a People?Professional.

This puts him solidly at the center of HR’s most relevant conversations. Price described the curiosity he’s hearing from many HR leaders about AI agents, which have become increasingly prominent in recent months.


 

 

“Student Guide to AI”; “AI Isn’t Just Changing How We Work — It’s Changing How We Learn”; + other items re: AI in our LE’s

.Get the 2025 Student Guide to Artificial Intelligence — from studentguidetoai.org
This guide is made available under a Creative Commons license by Elon University and the American Association of Colleges and Universities (AAC&U).
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AI Isn’t Just Changing How We Work — It’s Changing How We Learn — from entrepreneur.com by Aytekin Tank; edited by Kara McIntyre
AI agents are opening doors to education that just a few years ago would have been unthinkable. Here’s how.

Agentic AI is taking these already huge strides even further. Rather than simply asking a question and receiving an answer, an AI agent can assess your current level of understanding and tailor a reply to help you learn. They can also help you come up with a timetable and personalized lesson plan to make you feel as though you have a one-on-one instructor walking you through the process. If your goal is to learn to speak a new language, for example, an agent might map out a plan starting with basic vocabulary and pronunciation exercises, then progress to simple conversations, grammar rules and finally, real-world listening and speaking practice.

For instance, if you’re an entrepreneur looking to sharpen your leadership skills, an AI agent might suggest a mix of foundational books, insightful TED Talks and case studies on high-performing executives. If you’re aiming to master data analysis, it might point you toward hands-on coding exercises, interactive tutorials and real-world datasets to practice with.

The beauty of AI-driven learning is that it’s adaptive. As you gain proficiency, your AI coach can shift its recommendations, challenge you with new concepts and even simulate real-world scenarios to deepen your understanding.

Ironically, the very technology feared by workers can also be leveraged to help them. Rather than requiring expensive external training programs or lengthy in-person workshops, AI agents can deliver personalized, on-demand learning paths tailored to each employee’s role, skill level, and career aspirations. Given that 68% of employees find today’s workplace training to be overly “one-size-fits-all,” an AI-driven approach will not only cut costs and save time but will be more effective.


What’s the Future for AI-Free Spaces? — from higherai.substack.com by Jason Gulya
Please let me dream…

This is one reason why I don’t see AI-embedded classrooms and AI-free classrooms as opposite poles. The bone of contention, here, is not whether we can cultivate AI-free moments in the classroom, but for how long those moments are actually sustainable.

Can we sustain those AI-free moments for an hour? A class session? Longer?

Here’s what I think will happen. As AI becomes embedded in society at large, the sustainability of imposed AI-free learning spaces will get tested. Hard. I think it’ll become more and more difficult (though maybe not impossible) to impose AI-free learning spaces on students.

However, consensual and hybrid AI-free learning spaces will continue to have a lot of value. I can imagine classes where students opt into an AI-free space. Or they’ll even create and maintain those spaces.


Duolingo’s AI Revolution — from drphilippahardman.substack.com by Dr. Philippa Hardman
What 148 AI-Generated Courses Tell Us About the Future of Instructional Design & Human Learning

Last week, Duolingo announced an unprecedented expansion: 148 new language courses created using generative AI, effectively doubling their content library in just one year. This represents a seismic shift in how learning content is created — a process that previously took the company 12 years for their first 100 courses.

As CEO Luis von Ahn stated in the announcement, “This is a great example of how generative AI can directly benefit our learners… allowing us to scale at unprecedented speed and quality.”

In this week’s blog, I’ll dissect exactly how Duolingo has reimagined instructional design through AI, what this means for the learner experience, and most importantly, what it tells us about the future of our profession.


Are Mixed Reality AI Agents the Future of Medical Education? — from ehealth.eletsonline.com

Medical education is experiencing a quiet revolution—one that’s not taking place in lecture theatres or textbooks, but with headsets and holograms. At the heart of this revolution are Mixed Reality (MR) AI Agents, a new generation of devices that combine the immersive depth of mixed reality with the flexibility of artificial intelligence. These technologies are not mere flashy gadgets; they’re revolutionising the way medical students interact with complicated content, rehearse clinical skills, and prepare for real-world situations. By combining digital simulations with the physical world, MR AI Agents are redefining what it means to learn medicine in the 21st century.




4 Reasons To Use Claude AI to Teach — from techlearning.com by Erik Ofgang
Features that make Claude AI appealing to educators include a focus on privacy and conversational style.

After experimenting using Claude AI on various teaching exercises, from generating quizzes to tutoring and offering writing suggestions, I found that it’s not perfect, but I think it behaves favorably compared to other AI tools in general, with an easy-to-use interface and some unique features that make it particularly suited for use in education.

 

GPT, Claude, Gemini, Grok… Wait, Which One Do I Use Again? — from thebrainyacts.beehiiv.com by Josh Kubicki
Brainyacts #263

So this edition is simple: a quick, practical guide to the major generative AI models available in 2025 so far. What they’re good at, what to use them for, and where they might fit into your legal work—from document summarization to client communication to research support.

From DSC:
This comprehensive, highly informational posting lists what the model is, its strengths, the best legal use cases for it, and responsible use tips as well.


What’s Happening in LegalTech Other than AI? — from legaltalknetwork.com by Dennis Kennedy and Tom Mighell

Of course AI will continue to make waves, but what other important legal technologies do you need to be aware of in 2025? Dennis and Tom give an overview of legal tech tools—both new and old—you should be using for successful, modernized legal workflows in your practice. They recommend solutions for task management, collaboration, calendars, projects, legal research, and more.

Later, the guys answer a listener’s question about online prompt libraries. Are there reputable, useful prompts available freely on the internet? They discuss their suggestions for prompt resources and share why these libraries tend to quickly become outdated.


LawDroid Founder Tom Martin on Building, Teaching and Advising About AI for Legal — from lawnext.com by Bob Ambrogi and Tom Martin

If you follow legal tech at all, you would be justified in suspecting that Tom Martin has figured out how to use artificial intelligence to clone himself.

While running LawDroid, his legal tech company, the Vancouver-based Martin also still manages a law practice in California, oversees an annual legal tech awards program, teaches a law school course on generative AI, runs an annual AI conference, hosts a podcast, and recently launched a legal tech consultancy.

In January 2023, less than two months after ChatGPT first launched, Martin’s company was one of the first to launch a gen AI assistant specifically for lawyers, called LawDroid Copilot. He has since also launched LawDroid Builder, a no-code platform for creating custom AI agents.


Legal training in the age of AI: A leadership imperative — from thomsonreuters.com by The Hon. Maritza Dominguez Braswell  U.S. Magistrate Judge / District of Colorado

In a profession that’s actively contemplating its future in the face of AI, legal organization leaders who demonstrate a genuine desire to invest in the next generation of legal professionals will undoubtedly set themselves apart


Unlocking the power of AI: Opportunities and use cases for law firms — from todaysconveyancer.co.uk

Artificial intelligence (AI) is here. And it’s already reshaping the way law firms operate. Whether automating repetitive tasks, improving risk management, or boosting efficiency, AI presents a genuine opportunity for forward-thinking legal practices. But with new opportunities come new responsibilities. And as firms explore AI tools, it’s essential they consider how to govern them safely and ethically. That’s where an AI policy becomes indispensable.

So, what can AI actually do for your firm right now? Let’s take a closer look.

 

..which links to:

Duolingo will replace contract workers with AI — from theverge.com by Jay Peters
The company is going to be ‘AI-first,’ says its CEO.

Duolingo will “gradually stop using contractors to do work that AI can handle,” according to an all-hands email sent by cofounder and CEO Luis von Ahn announcing that the company will be “AI-first.” The email was posted on Duolingo’s LinkedIn account.

According to von Ahn, being “AI-first” means the company will “need to rethink much of how we work” and that “making minor tweaks to systems designed for humans won’t get us there.” As part of the shift, the company will roll out “a few constructive constraints,” including the changes to how it works with contractors, looking for AI use in hiring and in performance reviews, and that “headcount will only be given if a team cannot automate more of their work.”


Relevant links:

Something strange, and potentially alarming, is happening to the job market for young, educated workers.

According to the New York Federal Reserve, labor conditions for recent college graduates have “deteriorated noticeably” in the past few months, and the unemployment rate now stands at an unusually high 5.8 percent. Even newly minted M.B.A.s from elite programs are struggling to find work. Meanwhile, law-school applications are surging—an ominous echo of when young people used graduate school to bunker down during the great financial crisis.

What’s going on? I see three plausible explanations, and each might be a little bit true.


It’s Time To Get Concerned As More Companies Replace Workers With AI — from forbes.com by Jack Kelly

The new workplace trend is not employee friendly. Artificial intelligence and automation technologies are advancing at blazing speed. A growing number of companies are using AI to streamline operations, cut costs, and boost productivity. Consequently, human workers are facing facing layoffs, replaced by AI. Like it or not, companies need to make tough decisions, including layoffs to remain competitive.

Corporations including Klarna, UPS, Duolingo, Intuit and Cisco are replacing laid-off workers with AI and automation. While these technologies enhance productivity, they raise serious concerns about future job security. For many workers, there is a big concern over whether or not their jobs will be impacted.


The future of career navigation — from medium.com by Sami Tatar

  1. Career navigation market overview

Key takeaway:
Career navigation has remained largely unchanged for decades, relying on personal networks and static job boards. The advent of AI is changing this, offering personalised career pathways, better job matching, democratised job application support, democratised access to career advice/coaching, and tailored skill development to help you get to where you need to be. Hundreds of millions of people start new jobs every year, this transformation opens up a multi-billion dollar opportunity for innovation in the global career navigation market.

A.4 How will AI disrupt this segment?
Personalised recommendations: AI can consume a vast amount of information (skills, education, career history, even youtube history, and x/twitter feeds), standardise this data at scale, and then use data models to match candidate characteristics to relevant careers and jobs. In theory, solutions could then go layers deeper, helping you position yourself for those future roles. Currently based in Amsterdam, and working in Strategy at Uber and want to work in a Product role in the future? Here are X,Y,Z specific things YOU can do in your role today to align yourself perfectly. E.g. find opportunities to manage cross functional projects in your current remit, reach out to Joe Bloggs also at Uber in Amsterdam who did Strategy and moved to Product, etc.


Tales from the Front – What Teachers Are Telling Me at AI Workshops — from aliciabankhofer.substack.com by Alicia Bankhofer
Real conversations, real concerns: What teachers are saying about AI

“Do I really have to use AI?”

No matter the school, no matter the location, when I deliver an AI workshop to a group of teachers, there are always at least a few colleagues thinking (and sometimes voicing), “Do I really need to use AI?”

Nearly three years after ChatGPT 3.5 landed in our lives and disrupted workflows in ways we’re still unpacking, most schools are swiftly catching up. Training sessions, like the ones I lead, are springing up everywhere, with principals and administrators trying to answer the same questions: Which tools should we use? How do we use them responsibly? How do we design learning in this new landscape?

But here’s what surprises me most: despite all the advances in AI technology, the questions and concerns from teachers remain strikingly consistent.

In this article, I want to pull back the curtain on those conversations. These concerns aren’t signs of reluctance – they reflect sincere feelings. And they deserve thoughtful, honest answers.


Welcome To AI Agent World! (Everything you need to know about the AI Agent market.) — from joshbersin.com by Josh Bersin

This week, in advance of major announcements from us and other vendors, I give you a good overview of the AI Agent market, and discuss the new role of AI governance platforms, AI agent development tools, AI agent vendors, and how AI agents will actually manifest and redefine what we call an “application.”

I discuss ServiceNow, Microsoft, SAP, Workday, Paradox, Maki People, and other vendors. My goal today is to “demystify” this space and explain the market, the trends, and why and how your IT department is going to be building a lot of the agents you need. And prepare for our announcements next week!


DeepSeek Unveils Prover V2 — from theaivalley.com

DeepSeek has quietly launched Prover V2, an open-source model built to solve math problems using Lean 4 assistant, which ensures every step of a proof is rigorously verified.

What’s impressive about it?

  • Massive scale: Based on DeepSeek-V3 with 671B parameters using a mixture-of-experts (MoE) architecture, which activates only parts of the model at a time to reduce compute costs.
  • Theorem solving: Uses long context windows (32K+ tokens) to generate detailed, step-by-step formal proofs for a wide range of math problems — from basic algebra to advanced calculus theorems.
  • Research grade: Assists mathematicians in testing new theorems automatically and helps students understand formal logic by generating both Lean 4 code and readable explanations.
  • New benchmark: Introduces ProverBench, a new 325-question benchmark set featuring problems from recent AIME exams and curated academic sources to evaluate mathematical reasoning.

Artificial Intelligence: Lessons Learned from a Graduate-Level Final Exam — from er.educause.edu by Craig Westling and Manish K. Mishra

The need for deep student engagement became clear at Dartmouth Geisel School of Medicine when a potential academic-integrity issue revealed gaps in its initial approach to artificial intelligence use in the classroom, leading to significant revisions to ensure equitable learning and assessment.


Deep Research with AI: 9 Ways to Get Started — from wondertools.substack.com by Jeremy Caplan
Practical strategies for thorough, citation-rich AI research
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From George Siemens “SAIL: Transmutation, Assessment, Robots e-newsletter on 5/2/25

All indications are that AI, even if it stops advancing, has the capacity to dramatically change knowledge work. Knowing things matters less than being able to navigate and make sense of complex environments. Put another way, sensemaking, meaningmaking, and wayfinding (with their yet to be defined subelements) will be the foundation for being knowledgeable going forward.

 That will require being able to personalize learning to each individual learner so that who they are (not what our content is) forms the pedagogical entry point to learning.(DSC: And I would add WHAT THEY WANT to ACHIEVE.)LLMs are particularly good and transmutation. Want to explain AI to a farmer? A sentence or two in a system prompt achieves that. Know that a learner has ADHD? A few small prompt changes and it’s reflected in the way the LLM engages with learning. Talk like a pirate. Speak in the language of Shakespeare. Language changes. All a matter of a small meta comment send to the LLM. I’m convinced that this capability to change, transmute, information will become a central part of how LLMS and AI are adopted in education.

Speaking of Duolingo– it took them 12 years to develop 100 courses. In the last year, they developed an additional 148. AI is an accelerant with an impact in education that is hard to overstate. “Instead of taking years to build a single course with humans the company now builds a base course and uses AI to quickly customize it for dozens of different languages.”


FutureHouse Platform: Superintelligent AI Agents for Scientific Discovery — from futurehouse.org by Michael Skarlinski, Tyler Nadolski, James Braza, Remo Storni, Mayk Caldas, Ludovico Mitchener, Michaela Hinks, Andrew White, &  Sam Rodriques

FutureHouse is launching our platform, bringing the first publicly available superintelligent scientific agents to scientists everywhere via a web interface and API. Try it out for free at https://platform.futurehouse.org.

 

2025: The Year the Frontier Firm Is Born — from Microsoft

We are entering a new reality—one in which AI can reason and solve problems in remarkable ways. This intelligence on tap will rewrite the rules of business and transform knowledge work as we know it. Organizations today must navigate the challenge of preparing for an AI-enhanced future, where AI agents will gain increasing levels of capability over time that humans will need to harness as they redesign their business. Human ambition, creativity, and ingenuity will continue to create new economic value and opportunity as we redefine work and workflows.

As a result, a new organizational blueprint is emerging, one that blends machine intelligence with human judgment, building systems that are AI-operated but human-led. Like the Industrial Revolution and the internet era, this transformation will take decades to reach its full promise and involve broad technological, societal, and economic change.

To help leaders understand how knowledge work will evolve, Microsoft analyzed survey data from 31,000 workers across 31 countries, LinkedIn labor market trends, and trillions of Microsoft 365 productivity signals. We also spoke with AI-native startups, academics, economists, scientists, and thought leaders to explore what work could become. The data and insights point to the emergence of an entirely new organization, a Frontier Firm that looks markedly different from those we know today. Structured around on-demand intelligence and powered by “hybrid” teams of humans + agents, these companies scale rapidly, operate with agility, and generate value faster.

Frontier Firms are already taking shape, and within the next 2–5 years we expect that every organization will be on their journey to becoming one. 82% of leaders say this is a pivotal year to rethink key aspects of strategy and operations, and 81% say they expect agents to be moderately or extensively integrated into their company’s AI strategy in the next 12–18 months. Adoption is accelerating: 24% of leaders say their companies have already deployed AI organization-wide, while just 12% remain in pilot mode.

The time to act is now. The question for every leader and employee is: how will you adapt?


On a somewhat related note, also see:

Exclusive: Anthropic warns fully AI employees are a year away — from axios.com by Sam Sabin

Anthropic expects AI-powered virtual employees to begin roaming corporate networks in the next year, the company’s top security leader told Axios in an interview this week.

Why it matters: Managing those AI identities will require companies to reassess their cybersecurity strategies or risk exposing their networks to major security breaches.

The big picture: Virtual employees could be the next AI innovation hotbed, Jason Clinton, the company’s chief information security officer, told Axios.

 

How to Use AI and Universal Design to Empower Diverse Thinkers with Susan Tanner — from legaltalknetwork.com by Zack Glaser, Stephanie Everett, and Susan Tanner

What if the key to better legal work isn’t just smarter tools but more inclusive ones? Susan Tanner, Associate Professor at the University of Louisville Brandeis School of Law, joins Zack Glaser to explore how AI and universal design can improve legal education and law firm operations. Susan shares how tools like generative AI can support neurodiverse thinkers, enhance client communication, and reduce anxiety for students and professionals alike. They also discuss the importance of inclusive design in legal tech and how law firms can better support their teams by embracing different ways of thinking to build a more accessible, future-ready practice. The conversation emphasizes the need for educators and legal professionals to adapt to the evolving landscape of AI, ensuring that they leverage its capabilities to better serve their clients and students.


Maximizing Microsoft Copilot in Your Legal Practice — from legaltalknetwork.com by Tom Mighell, Dennis Kennedy, and Ben Schorr

Copilot is a powerful tool for lawyers, but are you making the most of it within your Microsoft apps? Tom Mighell is flying solo at ABA TECHSHOW 2025 and welcomes Microsoft’s own Ben Schorr to the podcast. Ben shares expert insights into how lawyers can implement Copilot’s AI-assistance to work smarter, not harder. From drafting documents to analyzing spreadsheets to streamlining communication, Copilot can handle the tedious tasks so you can focus on what really matters. Ben shares numerous use-cases and capabilities for attorneys and later gives a sneak peek at Copilot’s coming enhancements.


 

 

From DSC:
Look out Google, Amazon, and others! Nvidia is putting the pedal to the metal in terms of being innovative and visionary! They are leaving the likes of Apple in the dust.

The top talent out there is likely to go to Nvidia for a while. Engineers, programmers/software architects, network architects, product designers, data specialists, AI researchers, developers of robotics and autonomous vehicles, R&D specialists, computer vision specialists, natural language processing experts, and many more types of positions will be flocking to Nvidia to work for a company that has already changed the world and will likely continue to do so for years to come. 



NVIDIA’s AI Superbowl — from theneurondaily.com by Noah and Grant
PLUS: Prompt tips to make AI writing more natural

That’s despite a flood of new announcements (here’s a 16 min video recap), which included:

  1. A new architecture for massive AI data centers (now called “AI factories”).
  2. A physics engine for robot training built with Disney and DeepMind.
  3. partnership with GM to develop next-gen vehicles, factories and robots.
  4. A new Blackwell chip with “Dynamo” software that makes AI reasoning 40x faster than previous generations.
  5. A new “Rubin” chip slated for 2026 and a “Feynman” chip set for 2028.

For enterprises, NVIDIA unveiled DGX Spark and DGX Station—Jensen’s vision of AI-era computing, bringing NVIDIA’s powerful Blackwell chip directly to your desk.


Nvidia Bets Big on Synthetic Data — from wired.com by Lauren Goode
Nvidia has acquired synthetic data startup Gretel to bolster the AI training data used by the chip maker’s customers and developers.


Nvidia, xAI to Join BlackRock and Microsoft’s $30 Billion AI Infrastructure Fund — from investopedia.com by Aaron McDade
Nvidia and xAI are joining BlackRock and Microsoft in an AI infrastructure group seeking $30 billion in funding. The group was first announced in September as BlackRock and Microsoft sought to fund new data centers to power AI products.



Nvidia CEO Jensen Huang says we’ll soon see 1 million GPU data centers visible from space — from finance.yahoo.com by Daniel Howley
Nvidia CEO Jensen Huang says the company is preparing for 1 million GPU data centers.


Nvidia stock stems losses as GTC leaves Wall Street analysts ‘comfortable with long term AI demand’ — from finance.yahoo.com by Laura Bratton
Nvidia stock reversed direction after a two-day slide that saw shares lose 5% as the AI chipmaker’s annual GTC event failed to excite investors amid a broader market downturn.


Microsoft, Google, and Oracle Deepen Nvidia Partnerships. This Stock Got the Biggest GTC Boost. — from barrons.com by Adam Clark and Elsa Ohlen


The 4 Big Surprises from Nvidia’s ‘Super Bowl of AI’ GTC Keynote — from barrons.com by Tae Kim; behind a paywall

AI Super Bowl. Hi everyone. This week, 20,000 engineers, scientists, industry executives, and yours truly descended upon San Jose, Calif. for Nvidia’s annual GTC developers’ conference, which has been dubbed the “Super Bowl of AI.”


 

LinkedIn’s AI Helps People Hunt for a New Job — from wired.com by Will Knight

LinkedIn is testing a new job-hunting tool that uses a custom large language model to comb through huge quantities of data to help people find prospective roles.

The company believes that artificial intelligence will help users unearth new roles they might have missed in the typical search process.

“The reality is, you don’t find your dream job by checking a set of keywords,” the company’s CEO, Ryan Roslansky, told me in a statement. The new tool, he says, “can help you find relevant jobs you never even knew to search for.”

The move comes as AI continues to change how people use the web.

 

DeepSeek R-1 Explained — from aieducation.substack.com by Claire Zau
A no-nonsense FAQ (for everyone drowning in DeepSeek headlines)

There is a good chance you’re exhausted by the amount of DeepSeek coverage flooding your inbox. Between the headlines and hot takes on X, it’s hard not to have questions: What is DeepSeek? Why is it special? Why is everyone freaking out? What does this mean for the AI ecosystem? Can you explain the tech? Am I allowed to use it?

Let’s break down why exactly it’s such a big deal with some straightforward FAQs:




AI Voice Agents: 2025 Update — from a16z.com (Andreessen Horowitz) by Olivia Moore

Voice is one of the most powerful unlocks for AI application companies. It is the most frequent (and most information-dense) form of human communication, made “programmable” for the first time due to AI.

For consumers, we believe voice will be the first — and perhaps the primary — way people interact with AI. This interaction could take the form of an always-available companion or coach, or by democratizing services, such as language learning, that were previously inaccessible.


The professions upskilling in AI — from by Rachel Cromidas

The use of artificial intelligence at work continues to climb. Twice as many LinkedIn members in the U.S. say they are using AI on the job now compared to 2023, according to the latest Workforce Confidence survey. Meanwhile, at least half of workers say AI skills will help them progress in their careers. Product managers are the most likely to agree AI will give them a boost, while those in healthcare services roles are least likely.

 

Google Workspace enables the future of AI-powered work for every business  — from workspace.google.com

The following AI capabilities will start rolling out to Google Workspace Business customers today and to Enterprise customers later this month:

  • Get AI assistance in Gmail, Docs, Sheets, Meet, Chat, Vids, and more: Do your best work faster with AI embedded in the tools you use every day. Gemini streamlines your communications by helping you summarize, draft, and find information in your emails, chats, and files. It can be a thought partner and source of inspiration, helping you create professional documents, slides, spreadsheets, and videos from scratch. Gemini can even improve your meetings by taking notes, enhancing your audio and video, and catching you up on the conversation if you join late.
  • Chat with Gemini Advanced, Google’s next-gen AI: Kickstart learning, brainstorming, and planning with the Gemini app on your laptop or mobile device. Gemini Advanced can help you tackle complex projects including coding, research, and data analysis and lets you build Gems, your team of AI experts to help with repeatable or specialized tasks.
  • Unlock the power of NotebookLM PlusWe’re bringing the revolutionary AI research assistant to every employee, to help them make sense of complex topics. Upload sources to get instant insights and Audio Overviews, then share customized notebooks with the team to accelerate their learning and onboarding.

And per Evelyn from the Stay Ahead newsletter (at FlexOS)

Google’s Gemini AI is stepping up its game in Google Workspace, bringing powerful new capabilities to your favorite tools like Gmail, Docs, and Sheets:

  • AI-Powered Summaries: Get concise, AI-generated summaries of long emails and documents so you can focus on what matters most.
  • Smart Reply: Gemini now offers context-aware email replies that feel more natural and tailored to your style.
  • Slides and images generation: Gemini in Slides can help you generate new images, summarize your slides, write and rewrite content, and refer to existing Drive files and/or emails.
  • Automated Data Insights: In Google Sheets, Gemini helps create a task tracker, conference agenda, spot trends, suggest formulas, and even build charts with simple prompts.
  • Intelligent Drafting: Google Docs now gets a creativity boost, helping you draft reports, proposals, or blog posts with AI suggestions and outlines.
  • Meeting Assistance: Say goodbye to the awkward AI attendees to help you take notes, now Gemini can natively do that for you – no interruption, no avatar, and no extra attendee. Meet can now also automatically generate captions to lower the language barrier.

Eveyln (from FlexOS) also mentions that CoPilot is getting enhancements too:

Copilot is now included in Microsoft 365 Personal and Family — from microsoft.com

Per Evelyn:

It’s exactly what we predicted: stand-alone AI apps like note-takers and image generators have had their moment, but as the tech giants step in, they’re bringing these features directly into their ecosystems, making them harder to ignore.


Announcing The Stargate Project — from openai.com

The Stargate Project is a new company which intends to invest $500 billion over the next four years building new AI infrastructure for OpenAI in the United States. We will begin deploying $100 billion immediately. This infrastructure will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefit for the entire world. This project will not only support the re-industrialization of the United States but also provide a strategic capability to protect the national security of America and its allies.

The initial equity funders in Stargate are SoftBank, OpenAI, Oracle, and MGX. SoftBank and OpenAI are the lead partners for Stargate, with SoftBank having financial responsibility and OpenAI having operational responsibility. Masayoshi Son will be the chairman.

Arm, Microsoft, NVIDIA, Oracle, and OpenAI are the key initial technology partners. The buildout is currently underway, starting in Texas, and we are evaluating potential sites across the country for more campuses as we finalize definitive agreements.


Your AI Writing Partner: The 30-Day Book Framework — from aidisruptor.ai by Alex McFarland and Kamil Banc
How to Turn Your “Someday” Manuscript into a “Shipped” Project Using AI-Powered Prompts

With that out of the way, I prefer Claude.ai for writing. For larger projects like a book, create a Claude Project to keep all context in one place.

  • Copy [the following] prompts into a document
  • Use them in sequence as you write
  • Adjust the word counts and specifics as needed
  • Keep your responses for reference
  • Use the same prompt template for similar sections to maintain consistency

Each prompt builds on the previous one, creating a systematic approach to helping you write your book.


Adobe’s new AI tool can edit 10,000 images in one click — from theverge.com by  Jess Weatherbed
Firefly Bulk Create can automatically remove, replace, or extend image backgrounds in huge batches.

Adobe is launching new generative AI tools that can automate labor-intensive production tasks like editing large batches of images and translating video presentations. The most notable is “Firefly Bulk Create,” an app that allows users to quickly resize up to 10,000 images or replace all of their backgrounds in a single click instead of tediously editing each picture individually.

 

The Best of AI 2024: Top Winners Across 9 Categories — from aiwithallie.beehiiv.com by Allie Miller
2025 will be our weirdest year in AI yet. Read this so you’re more prepared.


Top AI Tools of 2024 — from ai-supremacy.com by Michael Spencer (behind a paywall)
Which AI tools stood out for me in 2024? My list.

Memorable AI Tools of 2024
Catergories included:

  • Useful
  • Popular
  • Captures the zeighest of AI product innovation
  • Fun to try
  • Personally satisfying
  1. NotebookLM
  2. Perplexity
  3. Claude

New “best” AI tool? Really? — from theneurondaily.com by Noah and Grant
PLUS: A free workaround to the “best” new AI…

What is Google’s Deep Research tool, and is it really “the best” AI research tool out there?

Here’s how it works: Think of Deep Research as a research team that can simultaneously analyze 50+ websites, compile findings, and create comprehensive reports—complete with citations.

Unlike asking ChatGPT to research for you, Deep Research shows you its research plan before executing, letting you edit the approach to get exactly what you need.

It’s currently free for the first month (though it’ll eventually be $20/month) when bundled with Gemini Advanced. Then again, Perplexity is always free…just saying.

We couldn’t just take J-Cal’s word for it, so we rounded up some other takes:

Our take: We then compared Perplexity, ChatGPT Search, and Deep Research (which we’re calling DR, or “The Docta” for short) on robot capabilities from CES revealed:


An excerpt from today’s Morning Edition from Bloomberg

Global banks will cut as many as 200,000 jobs in the next three to five years—a net 3% of the workforce—as AI takes on more tasks, according to a Bloomberg Intelligence survey. Back, middle office and operations are most at risk. A reminder that Citi said last year that AI is likely to replace more jobs in banking than in any other sector. JPMorgan had a more optimistic view (from an employee perspective, at any rate), saying its AI rollout has augmented, not replaced, jobs so far.


 

 


AI in 2024: Insights From our 5 Million Readers — from linkedin.com by Generative AI

Checking the Pulse: The Impact of AI on Everyday Lives
So, what exactly did our users have to say about how AI transformed their lives this year?
.

Top 2024 Developments in AI

  1. Video Generation…
  2. AI Employees…
  3. Open Source Advancements…

Getting ready for 2025: your AI team members (Gift lesson 3/3) — from flexos.com by Daan van Rossum

And that’s why today, I’ll tell you exactly which AI tools I’ve recommended for the top 5 use cases to almost 200 business leaders who took the Lead with AI course.

1. Email Management: Simplifying Communication with AI

  • Microsoft Copilot for Outlook. …
  • Gemini AI for Gmail. …
  • Grammarly. …

2. Meeting Management: Maximize Your Time

  • Otter.ai. …
  • Copilot for Microsoft Teams. …
  • Other AI Meeting Assistants. Zoom AI Companion, Granola, and Fathom

3. Research: Streamlining Information Gathering

  • ChatGPT. …
  • Perplexity. …
  • Consensus. …

…plus several more items and tools that were mentioned by Daan.

 
© 2025 | Daniel Christian