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.

 



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.


 



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

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

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

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

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


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

Key Points

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


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

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

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

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


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

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

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


 
 

2024 Global Skills Report -- from Coursera

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

You can use the Global Skills Report 2024 to:

  • Identify critical skills for your students to strengthen employability
  • Align curriculum to drive institutional advantage nationally
  • Track emerging skill trends like GenAI and cybersecurity
  • Understand entry-level and digital role skill trends across six regions
 


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

As the FlexOS research study “Generative AI at Work” concluded based on a survey amongst knowledge workers, ChatGPT reigns supreme.

2. AI Tool Usage is Way Higher Than People Expect – Beating Netflix, Pinterest, Twitch.
As measured by data analysis platform Similarweb based on global web traffic tracking, the AI tools in this list generate over 3 billion monthly visits.

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

.


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

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


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


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

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

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


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

The tumult could seem like a distraction from the startup’s seemingly unending march toward AI advancement. But the tension, and the latest debate with Musk, illuminates a central question for OpenAI, along with the tech world at large as it’s increasingly consumed by artificial intelligence: Just how open should an AI company be?

The meaning of the word “open” in “OpenAI” seems to be a particular sticking point for both sides — something that you might think sounds, on the surface, pretty clear. But actual definitions are both complex and controversial.


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

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


 

Announcing the 2024 GSV 150: The Top Growth Companies in Digital Learning & Workforce Skills — from prnewswire.com with information provided by ASU+GSV Summit

“The world is adapting to seismic shifts from generative AI,” says Luben Pampoulov, Partner at GSV Ventures. “AI co-pilots, AI tutors, AI content generators—AI is ubiquitous, and differentiation is increasingly critical. This is an impressive group of EdTech companies that are leveraging AI and driving positive outcomes for learners and society.”

Workforce Learning comprises 34% of the list, K-12 29%, Higher Education 24%, Adult Consumer Learning 10%, and Early Childhood 3%. Additionally, 21% of the companies stretch across two or more “Pre-K to Gray” categories. A broader move towards profitability is also evident: the collective gross and EBITDA margin score of the 2024 cohort increased 5% compared to 2023.

See the list at https://www.asugsvsummit.com/gsv-150

Selected from 2,000+ companies around the world based on revenue scale, revenue growth, user reach, geographic diversification, and margin profile, this impressive group is reaching an estimated 3 billion people and generating an estimated $23 billion in revenue.

 

Four Disruptive Trends For Higher Ed In 2024 — from michaelbhorn.substack.com by Michael B. Horn

  1. More colleges will close or merge.
  2. Online learning will continue to have its moment, but a shakeout is beginning.
  3. Big colleges and universities will get bigger.
  4. Apprenticeships will gain more traction outside of the trades.

Speaking of higher education and disruptions, also see the following item — via Ray Schroeder on LinkedIn:


Experts predicted dozens of colleges would close in 2023 – and they were right — from hechingerreport.org by Olivia Sanchez
Even more colleges will likely close in coming years as enrollment problems worsen

Though college enrollment seems to be stabilizing after the pandemic disruptions, predictions for the next 15 years are grim. Colleges will be hurt financially by fewer tuition-paying students, and many will have to merge with other institutions or make significant changes to the way they operate if they want to keep their doors open.

At least 30 colleges closed their only or final campus in the first 10 months of 2023, including 14 nonprofit colleges and 16 for-profit colleges, according to an analysis of federal data by the State Higher Education Executive Officers Association, or SHEEO. Among nonprofits, this came on the heels of 2022, when 23 of them closed, along with 25 for-profit institutions. Before 2022, the greatest number of nonprofit colleges that closed in a single year was 13.


 
 

7 legaltech trends to watch in 2024 — from lexology.com by Sacha Kirk

Legal technology, or ‘legaltech’, is transforming the legal sector by automating processes and enhancing the provision of legal services. As we approach 2024, several trends within this field are particularly worth keeping an eye on. These not only promise to streamline legal operations but will also help increase the in-house legal department’s visibility and value to the organisation.

Here are seven legaltech trends poised to make an impact in the coming year.

1. Artificial intelligence and machine learning
AI and machine learning remain pivotal in legaltech, especially for in-house lawyers who deal with vast quantities of contracts and complex legal matters. In 2024, these technologies will be integral for legal research, contract review, and the drafting of legal documents. Statistics from the Tech & the Law 2023 Report state more than three in five corporate legal departments (61%) have adopted generative AI in some capacity, with 7% actively using generative AI in their day-to-day work. With constant improvements to LLM (Large Language Models) by the big players, i.e. OpenAI, Google, and Microsoft (via OpenAI), 2024 will see more opportunities open and efficiencies gained for legal teams.


Our top 5 legal technology trends predicted for 2024 — from legalfutures.co.uk

5. ID verification software
With identity fraud on the increase there is a growing demand from the Government for people to be identified with accuracy and they are proposing to pass legislation in February 2024 that will tighten the requirements for the professional organisations involved.  They will promote the use of technology to reduce the risk of fraudulent transactions including mortgage fraud where according to Experian’s Report “the greatest jump in fraud cases has been seen …. with fraud increasing from around 41 cases to around 52 cases per 10,000 applications.”


Guest Post: The Year in Justice Tech: 2023 Report and News Roundup — from lawnext.com by Maya Markovich, executive director of the Justice Technology Association

In 2023, the justice tech ecosystem continued to grow rapidly, with a significant increase in solutions addressing access to justice-related challenges for consumers. Justice tech caught the interest of both impact investors, as well as those seeking opportunities to fund the disruption of antiquated systems via technology.


Consulting Giants See AI Shaving Years Off the Path to Partner — from bloomberg.com by Irina Anghel

  • To make it to partner level typically takes at least a decade
  • AI seen freeing up junior staffers to do more meaningful work

Consulting giants and law firms are looking to artificial intelligence to speed up the time it takes junior staffers to make it to the prestigious partner level as the technology eliminates vast swaths of the repetitive, time-consuming tasks that typically filled up their first few years on the job.


Stock Up 10% in December; Unveils Groundbreaking Initiatives — from in.investing.com by Aayush Khanna (India)

Excerpt from DSC — and I’m not out to give legal or investing advice. I just really appreciated the list of legaltech-related innovations:

In the LegalTech realm, QiLegal emerges as a robust cloud-based platform, aiming to digitize the legal framework. Envisaged to propel the justice system with Virtual Courts, Online Dispute Resolution, and AI-enabled Drafting, QiLegal responds to the estimated USD 100 billion global LegalTech market.


The essential role of creator and customer collaboration in legal tech — from legaldive.com by Relativity (sponsored content; emphasis below from DSC)

However, with these high stakes and wide margins for error in hand, the accuracy, defensibility, and reliability of that AI is subject to intense professional and judicial scrutiny. And for good reason: anything less than the thoughtful, intentional development of specifically fit-for-purpose AI applications in this realm can contribute to the loss of millions of dollars, the livelihoods of countless individuals, and deeply damaging miscarriages of justice.


Generative AI and the small law firm: The value of legal domain expertise — from thomsonreuters.com by Mark Haddad
In our new blog series, we continue to discuss how small law firms can leverage their natural advantages with generative artificial intelligence to compete at a higher level

Gen AI presents unprecedented opportunities for small law firms to compete.

The idea that legal Gen AI means turning over legal decision-making to a machine overlooks the importance of the data portion of the Venn diagram above. A properly trained and targeted Gen AI application for legal use will build on the work of lawyers in the form of cases, statutes, briefs and memoranda, how-to guides, contracts, client advisories, templates — all the esoteric and robust data that results from lawyers’ expertise and knowledge.

All law firms, even smaller ones, have an opportunity to leverage their own data assets against competitors at scale once their lawyers identify and curate the appropriate critical data sets from within their firm and embed them within the AI solution. This proprietary data can be combined with larger pools of data from authoritative external sources like trusted legal content sources to further strengthen the responses that the Gen AI tool provides.


AAA® Launches New AAAi Lab Offering Products, Education, Guidance & News Resources — from prnewswire.com by American Arbitration Assocation
Latest Technology Innovation Seeks to Support AAA Users, Arbitrators & Broader Legal Community with Incorporating Generative AI into ADR Processes

NEW YORKDec. 6, 2023 /PRNewswire/ — The American Arbitration Association® (AAA) and its international division, the International Centre for Dispute Resolution® (ICDR®), announces the launch of the AAAi Lab, a web center supporting AAA users, arbitrators, in-house counsel and law firms with policy guidance, educational webinars and tools for embracing generative AI in alternative dispute resolution.


ANALYSIS: Most M&A Attorneys Would Use AI for Due Diligence — from news.bloomberglaw.com by Abena Opong-Fosu

Artificial intelligence (AI) has infiltrated almost every facet of daily life. For M&A lawyers, exposure to AI and machine learning tools likely comes from deals involving the buying and selling of AI companies as well as through the software the lawyers use on a daily basis.

Most deal lawyers who responded to a recent Bloomberg Law survey said that they’re open to using AI at some point in dealmaking.

 

34 Big Ideas that will change our world in 2024 — from linkedin.com

34 Big Ideas that will change our world in 2024 -- from linkedin.com 

Excerpts:

6. ChatGPT’s hype will fade, as a new generation of tailor-made bots rises up
11. We’ll finally turn the corner on teacher pay in 2024
21. Employers will combat job applicants’ use of AI with…more AI
31. Universities will view the creator economy as a viable career path

 

What value do you offer? — from linkedin.com by Dan Fitzpatrick — The AI Educator

Excerpt (emphasis DSC): 

So, as educators, mentors, and guides to our future generations, we must ask ourselves three pivotal questions:

  1. What value do we offer to our students?
  2. What value will they need to offer to the world?
  3. How are we preparing them to offer that value?

The answers to these questions are crucial, and they will redefine the trajectory of our education system.

We need to create an environment that encourages curiosity, embraces failure as a learning opportunity, and celebrates diversity. We need to teach our students how to learn, how to ask the right questions, and how to think for themselves.


AI 101 for Teachers



5 Little-Known ChatGPT Prompts to Learn Anything Faster — from medium.com by Eva Keiffenheim
Including templates, you can copy.

Leveraging ChatGPT for learning is the most meaningful skill this year for lifelong learners. But it’s too hard to find resources to master it.

As a learning science nerd, I’ve explored hundreds of prompts over the past months. Most of the advice doesn’t go beyond text summaries and multiple-choice testing.

That’s why I’ve created this article — it merges learning science with prompt writing to help you learn anything faster.


From DSC:
This is a very nice, clearly illustrated, free video to get started with the Midjourney (text-to-image) app. Nice work Dan!

Also see Dan’s
AI Generated Immersive Learning Series


What is Academic Integrity in the Era of Generative Artificial intelligence? — from silverliningforlearning.org by Chris Dede

In the new-normal of generative AI, how does one articulate the value of academic integrity? This blog presents my current response in about 2,500 words; a complete answer could fill a sizable book.

Massive amounts of misinformation are disseminated about generative AI, so the first part of my discussion clarifies what large language models (Chat-GPT and its counterparts) can currently do and what they cannot accomplish at this point in time. The second part describes ways in which generative AI can be misused as a means of learning; unfortunately, many people are now advocating for these mistaken applications to education. The third part describes ways in which large language models (LLM), used well, may substantially improve learning and education. I close with a plea for a robust, informed public discussion about these topics and issues.


Dr. Chris Dede and the Necessity of Training Students and Faculty to Improve Their Human Judgment and Work Properly with AIs — from stefanbauschard.substack.com by Stefan Bauschard
We need to stop using test-driven curriculums that train students to listen and to compete against machines, a competition they cannot win. Instead, we need to help them augment their Judgment.


The Creative Ways Teachers Are Using ChatGPT in the Classroom — from time.com by Olivia B. Waxman

Many of the more than a dozen teachers TIME interviewed for this story argue that the way to get kids to care is to proactively use ChatGPT in the classroom.

Some of those creative ideas are already in effect at Peninsula High School in Gig Harbor, about an hour from Seattle. In Erin Rossing’s precalculus class, a student got ChatGPT to generate a rap about vectors and trigonometry in the style of Kanye West, while geometry students used the program to write mathematical proofs in the style of raps, which they performed in a classroom competition. In Kara Beloate’s English-Language Arts class, she allowed students reading Shakespeare’s Othello to use ChatGPT to translate lines into modern English to help them understand the text, so that they could spend class time discussing the plot and themes.


AI in Higher Education: Aiding Students’ Academic Journey — from td.org by J. Chris Brown

Topics/sections include:

Automatic Grading and Assessment
AI-Assisted Student Support Services
Intelligent Tutoring Systems
AI Can Help Both Students and Teachers


Shockwaves & Innovations: How Nations Worldwide Are Dealing with AI in Education — from the74million.org by Robin Lake
Lake: Other countries are quickly adopting artificial intelligence in schools. Lessons from Singapore, South Korea, India, China, Finland and Japan.

I found that other developed countries share concerns about students cheating but are moving quickly to use AI to personalize education, enhance language lessons and help teachers with mundane tasks, such as grading. Some of these countries are in the early stages of training teachers to use AI and developing curriculum standards for what students should know and be able to do with the technology.

Several countries began positioning themselves several years ago to invest in AI in education in order to compete in the fourth industrial revolution.


AI in Education — from educationnext.org by John Bailey
The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise

In the realm of education, this technology will influence how students learn, how teachers work, and ultimately how we structure our education system. Some educators and leaders look forward to these changes with great enthusiasm. Sal Kahn, founder of Khan Academy, went so far as to say in a TED talk that AI has the potential to effect “probably the biggest positive transformation that education has ever seen.” But others warn that AI will enable the spread of misinformation, facilitate cheating in school and college, kill whatever vestiges of individual privacy remain, and cause massive job loss. The challenge is to harness the positive potential while avoiding or mitigating the harm.


Generative AI and education futures — from ucl.ac.uk
Video highlights from Professor Mike Sharples’ keynote address at the 2023 UCL Education Conference, which explored opportunities to prosper with AI as a part of education.


Bringing AI Literacy to High Schools — from by Nikki Goth Itoi
Stanford education researchers collaborated with teachers to develop classroom-ready AI resources for high school instructors across subject areas.

To address these two imperatives, all high schools need access to basic AI tools and training. Yet the reality is that many underserved schools in low-income areas lack the bandwidth, skills, and confidence to guide their students through an AI-powered world. And if the pattern continues, AI will only worsen existing inequities. With this concern top of mind plus initial funding from the McCoy Ethics Center, Lee began recruiting some graduate students and high school teachers to explore how to give more people equal footing in the AI space.


 


From DSC:
Which reminds me of some graphics:

The pace has changed -- don't come onto the track in a Model T

 

Introducing Superalignment — from openai.com
We need scientific and technical breakthroughs to steer and control AI systems much smarter than us. To solve this problem within four years, we’re starting a new team, co-led by Ilya Sutskever and Jan Leike, and dedicating 20% of the compute we’ve secured to date to this effort. We’re looking for excellent ML researchers and engineers to join us.

Excerpts (emphasis DSC):

How do we ensure AI systems much smarter than humans follow human intent?

Currently, we don’t have a solution for steering or controlling a potentially superintelligent AI, and preventing it from going rogue. Our current techniques for aligning AI, such as reinforcement learning from human feedback, rely on humans’ ability to supervise AI. But humans won’t be able to reliably supervise AI systems much smarter than us, and so our current alignment techniques will not scale to superintelligence. We need new scientific and technical breakthroughs.

Our goal is to build a roughly human-level automated alignment researcher. We can then use vast amounts of compute to scale our efforts, and iteratively align superintelligence.

From DSC:
Hold up. We’ve been told for years that AI is at the toddler stage. But now assertions are being made that AI systems are smarter than humans — much smarter even. That said, then why is the goal of OpenAI to build a roughly human-level automated alignment researcher if humans aren’t that smart after all…? Which is it? I must be missing or misunderstanding something here…

OpenAI are jumping back on the alignment bandwagon with the brilliantly-named Superalignment Team. And you guessed it – they’re researching alignment of future superintelligent AIs. They reckon that AI can align other AI faster than humans can, and the plan is to build an AI that does just that. Head-spinning stuff…

Ben’s Bites

Plus…

Who else should be on this team? We certainly don’t want a team comprised of just technical people. How about including rabbis, pastors, priests, parents, teachers, professors, social workers, judges, legislators, and many others who can help represent other specialties, disciplines, and perspectives to protect society?


Authors file a lawsuit against OpenAI for unlawfully ‘ingesting’ their books — from theguardian.com by Ella Creamer; via Ben’s Bytes
Mona Awad and Paul Tremblay allege that their books, which are copyrighted, were ‘used to train’ ChatGPT because the chatbot generated ‘very accurate summaries’ of the works
.


How AI is Transforming Workplace Architecture and Design — from workdesign.com by Christian Lehmkuhl


London Futurists | Generative AI drug discovery breakthrough, with Alex Zhavoronkov — from londonfuturists.buzzsprout.com

Alex Zhavoronkov is our first guest to make a repeat appearance, having first joined us in episode 12, last November. We are delighted to welcome him back, because he is doing some of the most important work on the planet, and he has some important news.

In 2014, Alex founded Insilico Medicine, a drug discovery company which uses artificial intelligence to identify novel targets and novel molecules for pharmaceutical companies. Insilico now has drugs designed with AI in human clinical trials, and it is one of a number of companies that are demonstrating that developing drugs with AI can cut the time and money involved in the process by as much as 90%.


Watch This Space: New Field of Spatial Finance Uses AI to Estimate Risk, Monitor Assets, Analyze Claims — from blogs.nvidia.com

When making financial decisions, it’s important to look at the big picture — say, one taken from a drone, satellite or AI-powered sensor.

The emerging field of spatial finance harnesses AI insights from remote sensors and aerial imagery to help banks, insurers, investment firms and businesses analyze risks and opportunities, enable new services and products, measure the environmental impact of their holdings, and assess damage after a crisis.


Secretive hardware startup Humane’s first product is the Ai Pin — from techcrunch.com by Kyle Wiggers; via The Rundown AI

Excerpt:

Humane, the startup launched by ex-Apple design and engineering duo Imran Chaudhri and Bethany Bongiorno, today revealed details about its first product: The Humane Ai Pin.

Humane’s product, as it turns out, is a wearable gadget with a projected display and AI-powered features. Chaudhri gave a live demo of the device onstage during a TED Talk in April, but a press release issued today provides a few additional details.

The Humane Ai Pin is a new type of standalone device with a software platform that harnesses the power of AI to enable innovative personal computing experiences.


He Spent $140 Billion on AI With Little to Show. Now He Is Trying Again. — from wsj.com by Eliot Brown; via Superhuman
Billionaire Masayoshi Son said he would make SoftBank ‘the investment company for the AI revolution,’ but he missed out on the most recent frenzy


“Stunning”—Midjourney update wows AI artists with camera-like feature — from arstechnica.com by Benj Edwards; via Sam DeBrule from Machine Learnings
Midjourney v5.2 features camera-like zoom control over framing, more realism.


What is AIaaS? Guide to Artificial Intelligence as a Service — from eweek.com by Shelby Hiter
Artificial intelligence as a service, AIaaS, is an outsourced AI service provided by cloud-based AI providers.

AIaaS Definition
When a company is interested in working with artificial intelligence but doesn’t have the in-house resources, budget, and/or expertise to build and manage its own AI technology, it’s time to invest in AIaaS.

Artificial intelligence as a service, or AIaaS, is an outsourced service model AI that cloud-based companies provide to other businesses, giving them access to different AI models, algorithms, and other resources directly through a cloud computing platform; this access is usually managed through an API or SDK connection.


The Rise of the AI Engineer — from latent.space


Boost ChatGPT with new plugins — from wondertools.substack.com by Jeremy Caplan
Wonder Tools | Six new ways to use AI
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A series re: AI from Jeff Foster out at ProvideoCoalition.com


The AI upskilling imperative to build a future-ready workforce — from businessinsider.com

Excerpts:

Skill development has always been crucial, but recent technological advancements have raised the stakes. We are currently in the midst of the fourth industrial revolution, where automation and breakthroughs in artificial intelligence (AI) are revolutionising the workplace. In this era of quick change and short half-life of skills, upskilling shouldn’t be an afterthought. Instead, reskilling and upskilling have to evolve into requirements for effective professional development.

To understand the significance of upskilling for your career trajectory, it is important to recognise the ever-evolving nature of technology and the rapid pace of digital transformation. Business Insider India has been exploring how businesses and thought leaders are driving innovation by educating their staff on the technologies and skills that will shape the future.

 
 
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