Masakatsu Sashie’s Mysterious Spheres Hover Over Post-Apocalyptic Landscapes — from thisiscolossal.com by Kathe Mothes and Masakatsu Sashie
On 12/04/2024,
in 3D, educational games / serious games, emerging technologies, experimentation, health, human-computer interaction (HCI), immersion, innovation, media/film, platforms, research, robotics, science, society, the downsides of how people use tech, user experience (UX), vendors, Virtual Reality (VR) / worlds / learning, XR - extended reality,
by Daniel Christian
(Excerpt from the 12/4/24 edition)
Robot “Jailbreaks”
In the year or so since large language models hit the big time, researchers have demonstrated numerous ways of tricking them into producing problematic outputs including hateful jokes, malicious code, phishing emails, and the personal information of users. It turns out that misbehavior can take place in the physical world, too: LLM-powered robots can easily be hacked so that they behave in potentially dangerous ways.
Researchers from the University of Pennsylvania were able to persuade a simulated self-driving car to ignore stop signs and even drive off a bridge, get a wheeled robot to find the best place to detonate a bomb, and force a four-legged robot to spy on people and enter restricted areas.
“We view our attack not just as an attack on robots,” says George Pappas, head of a research lab at the University of Pennsylvania who helped unleash the rebellious robots. “Any time you connect LLMs and foundation models to the physical world, you actually can convert harmful text into harmful actions.”
…
The robot “jailbreaks” highlight a broader risk that is likely to grow as AI models become increasingly used as a way for humans to interact with physical systems, or to enable AI agents autonomously on computers, say the researchers involved.
Virtual lab powered by ‘AI scientists’ super-charges biomedical research — from nature.com by Helena Kudiabor
Could human-AI collaborations be the future of interdisciplinary studies?
In an effort to automate scientific discovery using artificial intelligence (AI), researchers have created a virtual laboratory that combines several ‘AI scientists’ — large language models with defined scientific roles — that can collaborate to achieve goals set by human researchers.
The system, described in a preprint posted on bioRxiv last month1, was able to design antibody fragments called nanobodies that can bind to the virus that causes COVID-19, proposing nearly 100 of these structures in a fraction of the time it would take an all-human research group.
Can AI agents accelerate AI implementation for CIOs? — from intelligentcio.com by Arun Shankar
By embracing an agent-first approach, every CIO can redefine their business operations. AI agents are now the number one choice for CIOs as they come pre-built and can generate responses that are consistent with a company’s brand using trusted business data, explains Thierry Nicault at Salesforce Middle.
AI Turns Photos Into 3D Real World — from theaivalley.com by Barsee
Here’s what you need to know:
- The system generates full 3D environments that expand beyond what’s visible in the original image, allowing users to explore new perspectives.
- Users can freely navigate and view the generated space with standard keyboard and mouse controls, similar to browsing a website.
- It includes real-time camera effects like depth-of-field and dolly zoom, as well as interactive lighting and animation sliders to tweak scenes.
- The system works with both photos and AI-generated images, enabling creators to integrate it with text-to-image tools or even famous works of art.
Why it matters:
This technology opens up exciting possibilities for industries like gaming, film, and virtual experiences. Soon, creating fully immersive worlds could be as simple as generating a static image.
Also related, see:
- World Labs’ AI can generate interactive 3D scenes from a single photo — from techcrunch.com by Kyle Wiggers
From World Labs
Today we’re sharing our first step towards spatial intelligence: an AI system that generates 3D worlds from a single image. This lets you step into any image and explore it in 3D.
Most GenAI tools make 2D content like images or videos. Generating in 3D instead improves control and consistency. This will change how we make movies, games, simulators, and other digital manifestations of our physical world.
In this post you’ll explore our generated worlds, rendered live in your browser. You’ll also experience different camera effects, 3D effects, and dive into classic paintings. Finally, you’ll see how creators are already building with our models.
Addendum on 12/5/24:
- ChatGPT turns two: how has it impacted markets? — from moneyweek.com
Two years on from ChatGPT’s explosive launch into the public sphere, we assess the impact that it has had on stock markets and the world of technology
On 12/04/2024,
in 21st century, 24x7x365 access, accessibility / UDL, Artificial Intelligence/Agents/LLMs/and Related, Bias | Diversity Equity & Inclusion (DE&I), education, education reform, education technology, emerging technologies, Emotion, engagement / engaging students, Google, law schools, learning agents, neurodivergent/special needs, personalized/customized learning, platforms, productivity / tips and tricks, professional development, skills, tools, trends,
by Daniel Christian
How AI is transforming learning for dyslexic students — from eschoolnews.com by Samay Bhojwani, University of Nebraska–Lincoln
As schools continue to adopt AI-driven tools, educators can close the accessibility gap and help dyslexic students thrive
Many traditional methods lack customization and don’t empower students to fully engage with content on their terms. Every dyslexic student experiences challenges differently, so a more personalized approach is essential for fostering comprehension, engagement, and academic growth.
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Artificial intelligence is increasingly recognized for its potential to transform educational accessibility. By analyzing individual learning patterns, AI-powered tools can tailor content to meet each student’s specific needs. For dyslexic students, this can mean summarizing complex texts, providing auditory support, or even visually structuring information in ways that aid comprehension.
NotebookLM How-to Guide 2024 — from ai-supremacy.com by Michael Spencer and Alex McFarland
With Audio Version | A popular guide reloaded.
In this guide, I’ll show you:
- How to use the new advanced audio customization features
- Two specific workflows for synthesizing information (research papers and YouTube videos)
- Pro tips for maximizing results with any type of content
- Common pitfalls to avoid (learned these the hard way)
The State of Instructional Design 2024: A Field on the Brink of Disruption? — from drphilippahardman.substack.com by Dr. Philippa Hardman
My hot takes from a global survey I ran with Synthesia
As I mentioned on LinkedIn, earlier this week Synthesia published the results of a global survey that we ran together the state of instructional design in 2024.
Boundless Socratic Learning: Google DeepMind’s Vision for AI That Learns Without Limits — from by Giorgio Fazio
Google DeepMind researchers have unveiled a groundbreaking framework called Boundless Socratic Learning (BSL), a paradigm shift in artificial intelligence aimed at enabling systems to self-improve through structured language-based interactions. This approach could mark a pivotal step toward the elusive goal of artificial superintelligence (ASI), where AI systems drive their own development with minimal human input.
The promise of Boundless Socratic Learning lies in its ability to catalyze a shift from human-supervised AI to systems that evolve and improve autonomously. While significant challenges remain, the introduction of this framework represents a step toward the long-term goal of open-ended intelligence, where AI is not just a tool but a partner in discovery.
5 courses to take when starting out a career in Agentic AI — from techloy.com by David Adubiina
This will help you join the early train of experts who are using AI agents to solve real world problems.
This surge in demand is creating new opportunities for professionals equipped with the right skills. If you’re considering a career in this innovative field, the following five courses will provide a solid foundation when starting a career in Agentic AI.
On 12/03/2024,
in 21st century, Artificial Intelligence/Agents/LLMs/and Related, business side of he, change, changing business models, colleges, community colleges, cost of getting a degree, dangers of the status quo, education technology, future, future of higher education, game-changing environment, generational differences, higher education, leadership, learning ecosystem, Learning Experience Design, Learning from the Living [Class] Room, learning preferences, liberal arts, lifelong learning, online learning, policy, staying relevant, strategy, surviving, teaching & learning, United States, universities,
by Daniel Christian
Adapting to the future | Educause
Institutions are balancing capacity issues and rapid technological advancements—including artificial intelligence—while addressing a loss of trust in higher education.
To adapt to the future, technology and data leaders must work strategically to restore trust, prepare for policy updates, and plan for online education growth.
On 11/27/2024,
in Daniel S. Christian, Emotion, faith, hearts -- matters of the heart, history, relationships, religion,
by Daniel Christian
And whatever you do, whether in word or deed, do it all in the name of the Lord Jesus, giving thanks to God the Father through him.
Let the message of Christ dwell among you richly as you teach and admonish one another with all wisdom through psalms, hymns, and songs from the Spirit, singing to God with gratitude in your hearts.
On 11/27/2024,
in Artificial Intelligence/Agents/LLMs/and Related, colleges, community colleges, content development, aggregation, repositories, corporate universities / corporate training, digital learning, education technology, emerging technologies, experimentation, future, future of higher education, game-changing environment, Google, higher education, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, IT in HE, K-12 related, learning, learning ecosystem, Learning Experience Design, platforms, productivity / tips and tricks, research, skills, student-related, teaching & learning, tools, training / L&D, United States, universities, vendors,
by Daniel Christian
On 11/27/2024,
in Amazon, Artificial Intelligence/Agents/LLMs/and Related, business, computer science, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, data related items, emerging technologies, experimentation, future, Google, graphics, human-computer interaction (HCI), innovation, intelligent systems, languages and translation, Open AI, productivity / tips and tricks, programming, United States, vendors, videoconferencing, workplace,
by Daniel Christian
2024: The State of Generative AI in the Enterprise — from menlovc.com (Menlo Ventures)
The enterprise AI landscape is being rewritten in real time. As pilots give way to production, we surveyed 600 U.S. enterprise IT decision-makers to reveal the emerging winners and losers.
This spike in spending reflects a wave of organizational optimism; 72% of decision-makers anticipate broader adoption of generative AI tools in the near future. This confidence isn’t just speculative—generative AI tools are already deeply embedded in the daily work of professionals, from programmers to healthcare providers.
Despite this positive outlook and increasing investment, many decision-makers are still figuring out what will and won’t work for their businesses. More than a third of our survey respondents do not have a clear vision for how generative AI will be implemented across their organizations. This doesn’t mean they’re investing without direction; it simply underscores that we’re still in the early stages of a large-scale transformation. Enterprise leaders are just beginning to grasp the profound impact generative AI will have on their organizations.
Business spending on AI surged 500% this year to $13.8 billion, says Menlo Ventures — from cnbc.com by Hayden Field
Key Points
- Business spending on generative AI surged 500% this year, hitting $13.8 billion — up from just $2.3 billion in 2023, according to data from Menlo Ventures released Wednesday.
- OpenAI ceded market share in enterprise AI, declining from 50% to 34%, per the report.
- Amazon-backed Anthropic doubled its market share from 12% to 24%.
Microsoft quietly assembles the largest AI agent ecosystem—and no one else is close — from venturebeat.com by Matt Marshall
Microsoft has quietly built the largest enterprise AI agent ecosystem, with over 100,000 organizations creating or editing AI agents through its Copilot Studio since launch – a milestone that positions the company ahead in one of enterprise tech’s most closely watched and exciting segments.
…
The rapid adoption comes as Microsoft significantly expands its agent capabilities. At its Ignite conference [that started on 11/19/24], the company announced it will allow enterprises to use any of the 1,800 large language models (LLMs) in the Azure catalog within these agents – a significant move beyond its exclusive reliance on OpenAI’s models. The company also unveiled autonomous agents that can work independently, detecting events and orchestrating complex workflows with minimal human oversight.
Now Hear This: World’s Most Flexible Sound Machine Debuts — from
Using text and audio as inputs, a new generative AI model from NVIDIA can create any combination of music, voices and sounds.
Along these lines, also see:
- Nvidia unveils AI model for music, audio that can modify voices, generate new sounds — from seekingalpha.com
AI Agents Versus Human Agency: 4 Ways To Navigate Our AI-Driven World — from forbes.com by Cornelia C. Walther
To understand the implications of AI agents, it’s useful to clarify the distinctions between AI, generative AI, and AI agents and explore the opportunities and risks they present to our autonomy, relationships, and decision-making.
…
AI Agents: These are specialized applications of AI designed to perform tasks or simulate interactions. AI agents can be categorized into:
-
- Tool Agents…
- Simulation Agents..
While generative AI creates outputs from prompts, AI agents use AI to act with intention, whether to assist (tool agents) or emulate (simulation agents). The latter’s ability to mirror human thought and action offers fascinating possibilities — and raises significant risks.
On 11/27/2024,
in career development, curriculum, Daniel S. Christian, education, education reform, Europe, experimentation, K-12 related, leadership, learning ecosystem, more voice more choice more control, skills, strategy, teachers, United States, vision/possibilities, vocational / trades, youth,
by Daniel Christian
For a true meritocracy, education must not be one-size-fits-all — from edsource.org by Eric Chung
What we can do is stop deciding who is educated, intelligent and successful based on only one type of student. Instead, we should recognize the value of all students, and offer more mainstream career and technical opportunities across K-12 education.
From DSC:
Note the power of CHOICE in this next excerpt:
There is another possibility. Consider Finland, which in the 1970s switched from the German model to one that teaches a combination of academic and technical subjects until age 16, when students choose a track. The vocational path for students interested in highly -skilled trades includes carpentry and culinary arts, but it also offers applied sciences, health care, and social services, which in the United States would require attending traditional academic universities.
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