Field Kallop Meditates on Universal Patterns Through Bold Chromatic Compositions — from thisiscolossal.com by Field Kallop and Grace Ebert
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At the most recent NVIDIA GTC conference, held in Washington, D.C. in October 2025, CEO Jensen Huang announced major developments emphasizing the use of AI to “reindustrialize America”. This included new partnerships, expansion of the Blackwell architecture, and advancements in AI factories for robotics and science. The spring 2024 GTC conference, meanwhile, was headlined by the launch of the Blackwell GPU and significant updates to the Omniverse and robotics platforms.

During the keynote in D.C., Jensen Huang focused on American AI leadership and announced several key initiatives.

  • Massive Blackwell GPU deployments: The company announced an expansion of its Blackwell GPU architecture, which first launched in March 2024. Reportedly, the company has already shipped 6 million Blackwell chips, with orders for 14 million more by the end of 2025.
  • AI supercomputers for science: In partnership with the Department of Energy and Oracle, NVIDIA is building new AI supercomputers at Argonne National Laboratory. The largest, named “Solstice,” will deploy 100,000 Blackwell GPUs.
  • 6G infrastructure: NVIDIA announced a partnership with Nokia to develop a U.S.-based, AI-native 6G technology stack.
  • AI factories for robotics: A new AI Factory Research Center in Virginia will use NVIDIA’s technology for building massive-scale data centers for AI.
  • Autonomous robotaxis: The company’s self-driving technology, already adopted by several carmakers, will be used by Uber for an autonomous fleet of 100,000 robotaxis starting in 2027.


Nvidia and Uber team up to develop network of self-driving cars — from finance.yahoo.com by Daniel Howley

Nvidia (NVDA) and Uber (UBER) on Tuesday revealed that they’re working to put together what they say will be the world’s largest network of Level 4-ready autonomous cars.

The duo will build out 100,000 vehicles beginning in 2027 using Nvidia’s Drive AGX Hyperion 10 platform and Drive AV software.


Nvidia stock hits all-time high, nears $5 trillion market cap after slew of updates at GTC event — from finance.yahoo.com by Daniel Howley

Nvidia (NVDA) stock on Tuesday rose 5% to close at a record high after the company announced a slew of product updates, partnerships, and investment initiatives at its GTC event in Washington, D.C., putting it on the doorstep of becoming the first company in history with a market value above $5 trillion.

The AI chip giant is approaching the threshold — settling at a market cap of $4.89 trillion on Tuesday — just months after becoming the first to close above $4 trillion in July.


 



Introducing OpenAI o1 – from openai.com

We’ve developed a new series of AI models designed to spend more time thinking before they respond. Here is the latest news on o1 research, product and other updates.




Something New: On OpenAI’s “Strawberry” and Reasoning — from oneusefulthing.org by Ethan Mollick
Solving hard problems in new ways

The new AI model, called o1-preview (why are the AI companies so bad at names?), lets the AI “think through” a problem before solving it. This lets it address very hard problems that require planning and iteration, like novel math or science questions. In fact, it can now beat human PhD experts in solving extremely hard physics problems.

To be clear, o1-preview doesn’t do everything better. It is not a better writer than GPT-4o, for example. But for tasks that require planning, the changes are quite large.


What is the point of Super Realistic AI? — from Heather Cooper who runs Visually AI on Substack

The arrival of super realistic AI image generation, powered by models like Midjourney, FLUX.1, and Ideogram, is transforming the way we create and use visual content.

Recently, many creators (myself included) have been exploring super realistic AI more and more.

But where can this actually be used?

Super realistic AI image generation will have far-reaching implications across various industries and creative fields. Its importance stems from its ability to bridge the gap between imagination and visual representation, offering multiple opportunities for innovation and efficiency.

Heather goes on to mention applications in:

  • Creative Industries
  • Entertainment and Media
  • Education and Training

NotebookLM now lets you listen to a conversation about your sources — from blog.google by Biao Wang
Our new Audio Overview feature can turn documents, slides, charts and more into engaging discussions with one click.

Today, we’re introducing Audio Overview, a new way to turn your documents into engaging audio discussions. With one click, two AI hosts start up a lively “deep dive” discussion based on your sources. They summarize your material, make connections between topics, and banter back and forth. You can even download the conversation and take it on the go.


Bringing generative AI to video with Adobe Firefly Video Model — from blog.adobe.com by Ashley Still

Over the past several months, we’ve worked closely with the video editing community to advance the Firefly Video Model. Guided by their feedback and built with creators’ rights in mind, we’re developing new workflows leveraging the model to help editors ideate and explore their creative vision, fill gaps in their timeline and add new elements to existing footage.

Just like our other Firefly generative AI models, editors can create with confidence knowing the Adobe Firefly Video Model is designed to be commercially safe and is only trained on content we have permission to use — never on Adobe users’ content.

We’re excited to share some of the incredible progress with you today — all of which is designed to be commercially safe and available in beta later this year. To be the first to hear the latest updates and get access, sign up for the waitlist here.

 

GTC March 2024 Keynote with NVIDIA CEO Jensen Huang


Also relevant/see:




 

Feynman – Don’t lecture and Feynman Technique — from donaldclarkplanb.blogspot.com by Donald Clark

Excerpt from the Feynman Technique section

  1. Write down everything you think you know about the topic from the top of your head
  2. Teach it to someone much younger
  3. Identify the gaps and fill them out
  4. Simplify, clarify and use analogies

Learning this way is iterative, as you must go back to sources to fill in any gaps uncovered by your attempts to recall what you think you know. The act of writing, teaching, simplification and analogising, is a form of retrieval practice that increases understanding and retention.

Also see:

The Feynman Technique Can Help You Remember Everything You Read — from medium.com by Eva Keiffenheim
How to use this simple principle for you.

Excerpts:

Social climber Dale Carnegie used to say knowledge isn’t power until it’s applied. And to apply what you read, you must first remember what you learned.

Nobel Prize-winning physicist Richard Feynman (1918–1988) was an expert for remembering what he learned.

Most people confuse consumption with learning. They think reading, watching, or hearing information will make the information stick with them.

Unless you’ve got a photographic memory, no idea could be further from the truth.

Teaching is the most effective way to embed information in your mind. Plus, it’s an easy way to check whether you’ve remembered what you read. Because before you teach, you have to take several steps: filter relevant information, organize this information, and articulate them using your own vocabulary.

 

Better Questions in the Classroom Lead Students to Think Harder—and Learn Deeper — from edsurge.com by Staci Bradbury and Rebekah Berlin

Excerpt:

The takeaway here is that teachers should ask questions and design tasks that require students to engage in effortful thinking. This “teacher action,” as we like to call it, is one of the ways in which Deans for Impact has operationalized the vast body of research about how people learn in a way that teachers can use.

Also see:

Before providing evidence to support that claim, a quick recap of our organizational journey. Two years ago, we launched the Learning by Scientific Design (LbSD) Network to begin the vital—albeit challenging—work of redesigning how teachers are prepared. This effort is informed by principles of learning science and taking place in what is now a network of 10 educator-preparation programs across the country. More than 70 faculty are working with us to change the arc of experiences that teacher-candidates receive as they prepare to become teachers.

 

Teaching: Why an Active-Learning Evangelist Is Sold on Online Teaching — from chronicle.com by Beth McMurtrie

Excerpts:

Now, says Mazur, the results are in and he’s convinced: online teaching is better. Not in all circumstances, to be sure. But in his applied-physics courses, students showed larger learning gains and felt more supported than students had in in-person classes. In fact, they appear to have learned so much more effectively in this new format that he wonders if it’s “almost unethical,” to return to the classroom this fall.

“I have never been able to offer a course of the quality that I’m offering now,” he says. “I am convinced that there is no way I could do anything close to what I’m doing in person. Online teaching is better than in person.”

One benefit of this setup, says Mazur, is that students go at their own pace. He has thought a lot about how classroom-based work, even when it is student-led, is hostage to the clock and the instructor. Not every group works at the same pace, yet everyone has to wait until others are ready, or rush ahead when they fall behind. When groups set their own pace, it gives them the space to work through problems or get help as needed. The value of self-paced learning is also evident outside of class, says Mazur, who built more asynchronous work into his online course.

“I have never seen students work this hard for my course,” he says. “Never. And so consistently.”

Also see:

A snapshot of Eric Mazur's physics class from Canvas.

But he’s so convinced of how valuable this model is that he asked Harvard to allow him to keep teaching online this fall. 

Also relevant/see:

 

21 jobs of the future: A guide to getting — and staying — employed over the next 10 years — from cognizant.com and  the Center for The Future of Work

Excerpt:

WHAT THE NEXT 10 YEARS WILL BRING: NEW JOBS
In this report, we propose 21 new jobs that will emerge over the next 10 years and will become cornerstones of the future of work. In producing this report, we imagined hundreds of jobs that could emerge within the major macroeconomic, political, demographic, societal, cultural, business and technology trends observable today, e.g., growing populations, aging populations, populism, environmentalism, migration, automation, arbitrage, quantum physics, AI, biotechnology, space exploration, cybersecurity, virtual reality.

Among the jobs we considered, some seemed further out on the horizon and are not covered here: carbon farmers, 3-D printing engineers, avatar designers, cryptocurrency arbitrageurs, drone jockeys, human organ developers, teachers of English as a foreign language for robots, robot spa owners, algae farmers, autonomous fleet valets, Snapchat addiction therapists, urban vertical farmers and Hyperloop construction managers. These are jobs that younger generations may do in the further off future.

21 jobs on a chart where tech-centricity is on the vertical axis and the time horizon is on the horizontal axis. 21 jobs are represented in this graphic and report.

Also see:

Here are the top 10 jobs of the future — from bigthink.com by Robert Brown
Say hello to your new colleague, the Workplace Environment Architect.

Excerpt:

6. Algorithm Bias Auditor – “All online, all the time” lifestyles for work and leisure accelerated the competitive advantage derived from algorithms by digital firms everywhere. But from Brussels to Washington, given the increasing statutory scrutiny on data, it’s a near certainty that when it comes to how they’re built, verification through audits will help ensure the future workforce is also the fair workforce.

 

A lack of devices but a heroic effort by teachers — from global-edtech.com by Dorothy Lepkowska
EDUCATE webinar hears how countries coped with the Covid school shutdown

Excerpts:

As in many countries, including the UK, schools and students in Portugal were hindered by a lack of devices, Huge Fonseca, an EdTech innovator, told the webinar.  He said teachers were “superheroes” and did what they could to connect with pupils, including distributing work on bicycles.

He said: “In Portugal there is a lack of devices and a lack of teacher training. The profession is among the oldest in Europe, and half of teachers are more than 50 years old. There is no government support to develop them, and if you leave teachers without learning new skills for 20 years or more then it is hard for them to adapt. We need more young people to go into teaching.”

In Uruguay, more coherence was needed between the distribution of technology and teacher training.

Meanwhile, in Brazil, there was a roll-out of technology but little training for teachers.

In Zambia, however, the pandemic offered an opportunity for project-based learning to address some of the problems faced by communities.

She said the pandemic had shone a light on the heroic work of teachers and there was a “shift in perceptions about teachers, and the importance of face-to-face teaching as a valued part of civil society”.

Also see:

 

Teacher Makes Beautiful Illustrations of Your Favorite Physics Formulas — from interestingengineering.com by Loukia Papadopoulos
From electromagnetism to the law of conservation of energy, this teacher illustrates all your favorite physics formulas.

From electromagnetism to the law of conservation of energy, this teacher illustrates all your favorite physics formulas.

From DSC:
Not all of us have these kinds of skills — but how cool to see this creative, artistic, multidisciplinary approach to teaching and learning. The use of teams comes to mind for the rest of us! 🙂 

 

 

Virtual Reality: Realizing the Power of Experience, Excursion and Immersion in the Classroom — from nytimes.com
A framework for teaching with New York Times 360 V.R. videos, plus eight lesson plans for STEM and the humanities.

A Guide for Using NYT VR With Students

  • Getting Started With V.R. in the Classroom
  • Lesson 1: A Mission to Pluto
  • Lesson 2: Meet Three Children Displaced by War and Persecution
  • Lesson 3: Four Antarctic Expeditions
  • Lesson 4: Time Travel Through Olympic History
  • Lesson 5: Decode the Secret Language of Dolphins and Whales
  • Lesson 6: Memorials and Justice
  • Lesson 7: The World’s Biggest Physics Experiment
  • Lesson 8: Journey to the Hottest Place on Earth

 

 
 

Information re: virtual labs from the Online Learning Consortium


 7 Things You Should Know About Virtual Labs — from library.educause.edu

Excerpt:

Virtual labs are interactive, digital simulations of activities that typically take place in physical laboratory settings. Virtual labs simulate the tools, equipment, tests, and procedures used in chemistry, biochemistry, physics, biology, and other disciplines. Virtual labs allow students to participate in lab-based learning exercises without the costs and limitations of a physical lab. Virtual labs can be an important element in institutional efforts to expand access to lab-based courses to more and different groups of students, as well as efforts to establish contingency plans for natural disasters or other interruptions of campus activities.

 


Addendum on 8/27/20:

 

DSC: There are likely several things a physics professor/teacher could do with this!

 

From DSC:
The article below relays some interesting thoughts on what an alternative syllabus could look like. It kind of reminds me of a digital playlist…

Looking For Syllabus 2.0 — from usv.com by Dani Grant

Excerpt:

There have been several attempts already to curate online resources for learning new topics. Usually they take the form of a list of links. The problem with the list of links approach is that they are static and they are inefficient. You don’t need to read a whole link to get the main point, you want to curate little bits and pieces of open resources: 30 seconds of this podcast, a minute and a half from this youtube video, just these 4 paragraphs from this article.

The thing that is closest to a modern internet syllabi is Susan Fowler’s guide for learning physics (it’s really amazing, go check it out). What if you could have that type of curated guide for many topics that gets updated by the community over time, with inline discussion with other learners?

I think Syllabus 2.0 could look something like this:

We’ve created a sample syllabus for this last topic so you can see what we envision in action. It curates 8 hours of podcasts, talks and blog posts into a 30 minute guide.

 

 
© 2025 | Daniel Christian