Bill Gates Reveals Superhuman AI Prediction — from youtube.com by Rufus Griscom, Bill Gates, Andy Sack, and Adam Brotman

This episode of the Next Big Idea podcast, host Rufus Griscom and Bill Gates are joined by Andy Sack and Adam Brotman, co-authors of an exciting new book called “AI First.” Together, they consider AI’s impact on healthcare, education, productivity, and business. They dig into the technology’s risks. And they explore its potential to cure diseases, enhance creativity, and usher in a world of abundance.

Key moments:

00:05 Bill Gates discusses AI’s transformative potential in revolutionizing technology.
02:21 Superintelligence is inevitable and marks a significant advancement in AI technology.
09:23 Future AI may integrate deeply as cognitive assistants in personal and professional life.
14:04 AI’s metacognitive advancements could revolutionize problem-solving capabilities.
21:13 AI’s next frontier lies in developing human-like metacognition for sophisticated problem-solving.
27:59 AI advancements empower both good and malicious intents, posing new security challenges.
28:57 Rapid AI development raises questions about controlling its global application.
33:31 Productivity enhancements from AI can significantly improve efficiency across industries.
35:49 AI’s future applications in consumer and industrial sectors are subjects of ongoing experimentation.
46:10 AI democratization could level the economic playing field, enhancing service quality and reducing costs.
51:46 AI plays a role in mitigating misinformation and bridging societal divides through enhanced understanding.


OpenAI Introduces CriticGPT: A New Artificial Intelligence AI Model based on GPT-4 to Catch Errors in ChatGPT’s Code Output — from marktechpost.com

The team has summarized their primary contributions as follows.

  1. The team has offered the first instance of a simple, scalable oversight technique that greatly assists humans in more thoroughly detecting problems in real-world RLHF data.
  1. Within the ChatGPT and CriticGPT training pools, the team has discovered that critiques produced by CriticGPT catch more inserted bugs and are preferred above those written by human contractors.
  1. Compared to human contractors working alone, this research indicates that teams consisting of critic models and human contractors generate more thorough criticisms. When compared to reviews generated exclusively by models, this partnership lowers the incidence of hallucinations.
  1. This study provides Force Sampling Beam Search (FSBS), an inference-time sampling and scoring technique. This strategy well balances the trade-off between minimizing bogus concerns and discovering genuine faults in LLM-generated critiques.

Character.AI now allows users to talk with AI avatars over calls — from techcrunch.com by Ivan Mehta

a16z-backed Character.AI said today that it is now allowing users to talk to AI characters over calls. The feature currently supports multiple languages, including English, Spanish, Portuguese, Russian, Korean, Japanese and Chinese.

The startup tested the calling feature ahead of today’s public launch. During that time, it said that more than 3 million users had made over 20 million calls. The company also noted that calls with AI characters can be useful for practicing language skills, giving mock interviews, or adding them to the gameplay of role-playing games.


Google Translate Just Added 110 More Languages — from lifehacker.com by
You can now use the app to communicate in languages you’ve never even heard of.

Google Translate can come in handy when you’re traveling or communicating with someone who speaks another language, and thanks to a new update, you can now connect with some 614 million more people. Google is adding 110 new languages to its Translate tool using its AI PaLM 2 large language model (LLM), which brings the total of supported languages to nearly 250. This follows the 24 languages added in 2022, including Indigenous languages of the Americas as well as those spoken across Africa and central Asia.




Listen to your favorite books and articles voiced by Judy Garland, James Dean, Burt Reynolds and Sir Laurence Olivier — from elevenlabs.io
ElevenLabs partners with estates of iconic stars to bring their voices to the Reader App

 

Overcoming the ‘Entry Level’ Catch-22 in the Age of AI — from reachcapital.com by Shauntel Garvey

The New Entry-Level Job (and Skill)
In a world where AI can perform entry-level tasks, and employers are prioritizing experienced candidates, how can recent college graduates and job seekers find a job?

AI is the new entry-level skill. As AI permeates every industry, it’s becoming increasingly common for employers to ask candidates how they think about applying AI to their jobs. (We’ve started asking this here at Reach ourselves.) Even if the job is not technical and doesn’t list AI as a skill, candidates would do well to prepare. Journalists, for instance, are warming up to using AI to transcribe interviews and suggest headlines.

So it’s not just AI that may take your entry-level role, but rather the person who knows how to use it. Candidates who are bracing for this technological shift and proactively building their AI literacy and expertise will have a leg up.


On a related note, also see:

Make AI Literacy a Priority With These Free Resources — from gettingsmart.com by Tom Vander Ark

Key Points

  • Leading school systems are incorporating AI tools such as tutoring, chatbots, and teacher assistants, and promoting AI literacy among teachers and students to adapt to the evolving role of AI in education.

 

Latent Expertise: Everyone is in R&D — from oneusefulthing.org by Ethan Mollick
Ideas come from the edges, not the center

Excerpt (emphasis DSC):

And to understand the value of AI, they need to do R&D. Since AI doesn’t work like traditional software, but more like a person (even though it isn’t one), there is no reason to suspect that the IT department has the best AI prompters, nor that it has any particular insight into the best uses of AI inside an organization. IT certainly plays a role, but the actual use cases will come from workers and managers who find opportunities to use AI to help them with their job. In fact, for large companies, the source of any real advantage in AI will come from the expertise of their employees, which is needed to unlock the expertise latent in AI.


OpenAI’s former chief scientist is starting a new AI company — from theverge.com by Emma Roth
Ilya Sutskever is launching Safe Superintelligence Inc., an AI startup that will prioritize safety over ‘commercial pressures.’

Ilya Sutskever, OpenAI’s co-founder and former chief scientist, is starting a new AI company focused on safety. In a post on Wednesday, Sutskever revealed Safe Superintelligence Inc. (SSI), a startup with “one goal and one product:” creating a safe and powerful AI system.

Ilya Sutskever Has a New Plan for Safe Superintelligence — from bloomberg.com by Ashlee Vance (behind a paywall)
OpenAI’s co-founder discloses his plans to continue his work at a new research lab focused on artificial general intelligence.

Safe Superintelligence — from theneurondaily.com by Noah Edelman

Ilya Sutskever is kind of a big deal in AI, to put it lightly.

Part of OpenAI’s founding team, Ilya was Chief Data Scientist (read: genius) before being part of the coup that fired Sam Altman.

Yesterday, Ilya announced that he’s forming a new initiative called Safe Superintelligence.

If AGI = AI that can perform a wide range of tasks at our level, then Superintelligence = an even more advanced AI that surpasses human capabilities in all areas.


AI is exhausting the power grid. Tech firms are seeking a miracle solution. — from washingtonpost.com by Evan Halper and Caroline O’Donovan
As power needs of AI push emissions up and put big tech in a bind, companies put their faith in elusive — some say improbable — technologies.

As the tech giants compete in a global AI arms race, a frenzy of data center construction is sweeping the country. Some computing campuses require as much energy as a modest-sized city, turning tech firms that promised to lead the way into a clean energy future into some of the world’s most insatiable guzzlers of power. Their projected energy needs are so huge, some worry whether there will be enough electricity to meet them from any source.


Microsoft, OpenAI, Nvidia join feds for first AI attack simulation — from axios.com by Sam Sabin

Federal officials, AI model operators and cybersecurity companies ran the first joint simulation of a cyberattack involving a critical AI system last week.

Why it matters: Responding to a cyberattack on an AI-enabled system will require a different playbook than the typical hack, participants told Axios.

The big picture: Both Washington and Silicon Valley are attempting to get ahead of the unique cyber threats facing AI companies before they become more prominent.


Hot summer of AI video: Luma & Runway drop amazing new models — from heatherbcooper.substack.com by Heather Cooper
Plus an amazing FREE video to sound app from ElevenLabs

Immediately after we saw Sora-like videos from KLING, Luma AI’s Dream Machine video results overshadowed them.

Dream Machine is a next-generation AI video model that creates high-quality, realistic shots from text instructions and images.


Introducing Gen-3 Alpha — from runwayml.com by Anastasis Germanidis
A new frontier for high-fidelity, controllable video generation.


AI-Generated Movies Are Around the Corner — from news.theaiexchange.com by The AI Exchange
The future of AI in filmmaking; participate in our AI for Agencies survey

AI-Generated Feature Films Are Around the Corner.
We predict feature-film length AI-generated films are coming by the end of 2025, if not sooner.

Don’t believe us? You need to check out Runway ML’s new Gen-3 model they released this week.

They’re not the only ones. We also have Pika, which just raised $80M. And Google’s Veo. And OpenAI’s Sora. (+ many others)

 

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
 

AI Policy 101: a Beginners’ Framework — from drphilippahardman.substack.com by Dr. Philippa Hardman
How to make a case for AI experimentation & testing in learning & development


6 AI Tools Recommended By Teachers That Aren’t ChatGPT — from forbes.com by Dan Fitzpatrick

Here are six AI tools making waves in classrooms worldwide:

  • Brisk Teaching
  • SchoolAI
  • Diffit
  • Curipod
  • Skybox by Blockade Labs in ThingLink
  • Ideogram

With insights from educators who are leveraging their potential, let’s explore them in more detail.


AI Is Speeding Up L&D But Are We Losing the Learning? — from learningguild.com by Danielle Wallace

The role of learning & development
Given these risks, what can L&D professionals do to ensure generative AI contributes to effective learning? The solution lies in embracing the role of trusted learning advisors, guiding the use of AI tools in a way that prioritizes achieving learning outcomes over only speed. Here are three key steps to achieve this:

1. Playtest and Learn About AI
2. Set the Direction for AI to Be Learner-Centered…
3. Become Trusted Learning Advisors…


Some other tools to explore:

Descript: If you can edit text, you can edit videos. — per Bloomberg’s Vlad Savov
Descript is the AI-powered, fully featured, end-to-end video editor that you already know how to use.

A video editor that works like docs and slides
No need to learn a new tool — Descript works like the tools you’ve already learned.

Audeze | Filter — per Bloomberg’s Vlad Savov


AI Chatbots in Schools Findings from a Poll of K-12 Teachers, Students, Parents, and College Undergraduates — from Impact Research; via Michael Spencer and Lily Lee

Key Findings

  • In the last year, AI has become even more intertwined with our education system. More teachers, parents, and students are aware of it and have used it themselves on a regular basis. It is all over our education system today.
  • While negative views of AI have crept up over the last year, students, teachers, and parents feel very positive about it in general. On balance they see positive uses for the technology in school, especially if they have used it themselves.
  • Most K-12 teachers, parents, and students don’t think their school is doing much about AI, despite its widespread use. Most say their school has no policy on it, is doing nothing to offer desired teacher training, and isn’t meeting the demand of students who’d like a career in a job that will need AI.
  • The AI vacuum in school policy means it is currently used “unauthorized,” while instead people want policies that encourage AI. Kids, parents, and teachers are figuring it out on their own/without express permission, whereas all stakeholders would rather have a policy that explicitly encourages AI from a thoughtful foundation.

The Value of AI in Today’s Classrooms — from waltonfamilyfoundation.org

There is much discourse about the rise and prevalence of AI in education and beyond. These debates often lack the perspectives of key stakeholders – parents, students and teachers.

In 2023, the Walton Family Foundation commissioned the first national survey of teacher and student attitudes toward ChatGPT. The findings showed that educators and students embrace innovation and are optimistic that AI can meaningfully support traditional instruction.

A new survey conducted May 7-15, 2024, showed that knowledge of and support for AI in education is growing among parents, students and teachers. More than 80% of each group says it has had a positive impact on education.

 

 

Can Microsoft Copilot Replace Popular AI Tools Like ChatGPT, Gamma AI, and Midjourney? — from flexos.work by Daan van Rossum
Can Microsoft Copilot win from popular AI tools like ChatGPT, Gamma AI, and Midjourney, and which AI best fits your business?

From DSC:
The article talks about the pros and cons of Microsoft Copilot. But I really appreciated the following table/information:


Also regarding Microsoft and AI, see:

Windows Recall stores all your history UNENCRYPTED. — from bensbites.beehiiv.com by Ben Tossell

Remember Microsoft’s shiny new AI tool, “Recall”? It’s like your personal time machine, answering questions about your browsing history and laptop activity by taking screenshots every 5 seconds. Sounds cool, right? Well, it gets problematic.

What’s going on here?
Security researchers have found a potential privacy nightmare lurking within this seemingly convenient tool.

What does this mean?
Recall stores all those screenshots in an unencrypted database on your laptop. This means anyone with access to your device could potentially see everything you’ve been doing. Cybersecurity experts are already comparing it to spyware, and one ethical hacker even built a tool called “TotalRecall” (yes, like the movie) that can pull all the information Recall saves. Yikes.

 

Nvidia Earnings: Stock Rallies As AI Giant Reports 600% Profit Explosion, 10-For-1 Stock Split — from forbes.com by Derek Saul

  • Nvidia reported $6.12 earnings per share and $26 billion of sales for the three-month period ending April 30, shattering mean analyst forecasts of $5.60 and $24.59 billion, according to FactSet.
  • Nvidia’s profits and revenues skyrocketed by 628% and 268% compared to 2023’s comparable period, respectively.
  • This was Nvidia’s most profitable and highest sales quarter ever, topping the quarter ending this January’s record $12.3 billion net income and $22.1 billion revenue.
  • Driving the numerous superlatives for Nvidia’s financial growth over the last year is unsurprisingly its AI-intensive datacenter division, which raked in $22.6 billion of revenue last quarter, a 427% year-over-year increase and a whopping 20 times higher than the $1.1 billion the segment brought in in 2020.

Per ChatPGT today:

NVIDIA is a prominent technology company known for its contributions to various fields, primarily focusing on graphics processing units (GPUs) and artificial intelligence (AI). Here’s an overview of NVIDIA’s main areas of activity:

1. **Graphics Processing Units (GPUs):**
– **Consumer GPUs:** NVIDIA is famous for its GeForce series of GPUs, which are widely used in gaming and personal computing for their high performance and visual capabilities.
– **Professional GPUs:** NVIDIA’s Quadro series is designed for professional applications like 3D modeling, CAD (Computer-Aided Design), and video editing.

2. **Artificial Intelligence (AI) and Machine Learning:**
– NVIDIA GPUs are extensively used in AI research and development. They provide the computational power needed for training deep learning models.
– The company offers specialized hardware for AI, such as the NVIDIA Tesla and A100 GPUs, which are used in data centers and supercomputing environments.

3. **Data Centers:**
– NVIDIA develops high-performance computing solutions for data centers, including GPU-accelerated servers and AI platforms. These products are essential for tasks like big data analytics, scientific simulations, and AI workloads.

4. **Autonomous Vehicles:**
– Through its DRIVE platform, NVIDIA provides hardware and software solutions for developing autonomous vehicles. This includes AI-based systems for perception, navigation, and decision-making.

5. **Edge Computing:**
– NVIDIA’s Jetson platform caters to edge computing, enabling AI-powered devices and applications to process data locally rather than relying on centralized data centers.

6. **Gaming and Entertainment:**
– Beyond GPUs, NVIDIA offers technologies like G-SYNC (for smoother gaming experiences) and NVIDIA GameWorks (a suite of tools for game developers).

7. **Healthcare:**
– NVIDIA’s Clara platform utilizes AI and GPU computing to advance medical imaging, genomics, and other healthcare applications.

8. **Omniverse:**
– NVIDIA Omniverse is a real-time graphics collaboration platform for 3D production pipelines. It’s designed for industries like animation, simulation, and visualization.

9. **Crypto Mining:**
– NVIDIA GPUs are also popular in the cryptocurrency mining community, although the company has developed specific products like the NVIDIA CMP (Cryptocurrency Mining Processor) to cater to this market without impacting the availability of GPUs for gamers and other users.

Overall, NVIDIA’s influence spans a broad range of industries, driven by its innovations in GPU technology and AI advancements.

 

.
Grasp is the world’s first generative AI platform for finance professionals.

We build domain-specific AI systems that address the complex needs of investment bankers and management consultants.

By automating finance workflows, Grasp dramatically increases employee productivity and satisfaction.

 

Learning to Work, Or Working to Learn? — from insidehighered.com by Erin Crisp; via Melanie Booth, Ed.D. on LinkedIn
We need a systems approach to making work-to-learn models just as accessible as traditional learn-to-work pathways, Erin Crisp writes.

Over the past two years, I have had the unique experience of scaling support for a statewide registered teacher-apprenticeship program while also parenting three college-aged sons. The declining appeal of postsecondary education, especially among young men, is evident at my dinner table, in my office, and in my dreams (literally).

Scaling a statewide apprenticeship program for the preparation of teachers has meant that I am consistently hearing from four stakeholder groups—K-12 school district leaders, college and university leaders, aspiring young educators, and local workforce development leaders.

A theme has emerged from my professional life, one that echoes the dinner table conversations happening in my personal life: Society needs systematic work-to-learn pathways in addition to the current learn-to-work ecosystem. This is not an either/or. What we need is a systematic expansion of effort.

In a work-to-learn model, the traditional college sequence is flipped. Instead of starting with general education coursework or survey courses, the working learner is actively engaged in practicing the skills they are interested in acquiring. A workplace supervisor often helps him make connections between the coursework and the job. The learner’s attention is piqued. The learning is relevant. The learner gains confidence, and seeing their influence in the workplace (and paycheck) is satisfying. All of the ARCS model elements are easily achieved.

 


Microsoft’s new ChatGPT competitor… — from The Rundown AI

The Rundown: Microsoft is reportedly developing a massive 500B parameter in-house LLM called MAI-1, aiming to compete with top AI models from OpenAI, Anthropic, and Google.


2024 | The AI Founder Report | Business Impact, Use cases, & Tools — from Hampton; via The Neuron

Hampton runs a private community for high-growth tech founders and CEOs. We asked our community of founders and owners how AI has impacted their business and what tools they use

Here’s a sneak peek of what’s inside:

  • The budgets they set aside for AI research and development
  • The most common (and obscure) tools founders are using
  • Measurable business impacts founders have seen through using AI
  • Where they are purposefully not using AI and much more

2024 Work Trend Index Annual Report from Microsoft and LinkedIn
AI at Work Is Here. Now Comes the Hard Part Employees want AI, leaders are looking for a path forward.

Also relevant, see Microsoft’s web page on this effort:

To help leaders and organizations overcome AI inertia, Microsoft and LinkedIn looked at how AI will reshape work and the labor market broadly, surveying 31,000 people across 31 countries, identifying labor and hiring trends from LinkedIn, and analyzing trillions of Microsoft 365 productivity signals as well as research with Fortune 500 customers. The data points to insights every leader and professional needs to know—and actions they can take—when it comes to AI’s implications for work.

 

The Verge | What’s Next With AI | February 2024 | Consumer Survey

 

 

 

 

 

 




Microsoft AI creates talking deepfakes from single photo — from inavateonthenet.net


The Great Hall – where now with AI? It is not ‘Human Connection V Innovative Technology’ but ‘Human Connection + Innovative Technology’ — from donaldclarkplanb.blogspot.com by Donald Clark

The theme of the day was Human Connection V Innovative Technology. I see this a lot at conferences, setting up the human connection (social) against the machine (AI). I think this is ALL wrong. It is, and has always been a dialectic, human connection (social) PLUS the machine. Everyone had a smartphone, most use it for work, comms and social media. The binary between human and tech has long disappeared. 


Techno-Social Engineering: Why the Future May Not Be Human, TikTok’s Powerful ForYou Algorithm, & More — from by Misha Da Vinci

Things to consider as you dive into this edition:

  • As we increasingly depend on technology, how is it changing us?
  • In the interaction between humans and technology, who is adapting to whom?
  • Is the technology being built for humans, or are we being changed to fit into tech systems?
  • As time passes, will we become more like robots or the AI models we use?
  • Over the next 30 years, as we increasingly interact with technology, who or what will we become?

 

Forbes 2024 AI 50 List: Top Artificial Intelligence Startups  — from forbes.com by Kenrick Cai

The artificial intelligence sector has never been more competitive. Forbes received some 1,900 submissions this year, more than double last year’s count. Applicants do not pay a fee to be considered and are judged for their business promise and technical usage of AI through a quantitative algorithm and qualitative judging panels. Companies are encouraged to share data on diversity, and our list aims to promote a more equitable startup ecosystem. But disparities remain sharp in the industry. Only 12 companies have women cofounders, five of whom serve as CEO, the same count as last year. For more, see our full package of coverage, including a detailed explanation of the list methodology, videos and analyses on trends in AI.


Adobe Previews Breakthrough AI Innovations to Advance Professional Video Workflows Within Adobe Premiere Pro — from news.adobe.com

  • New Generative AI video tools coming to Premiere Pro this year will streamline workflows and unlock new creative possibilities, from extending a shot to adding or removing objects in a scene
  • Adobe is developing a video model for Firefly, which will power video and audio editing workflows in Premiere Pro and enable anyone to create and ideate
    Adobe previews early explorations of bringing third-party generative AI models from OpenAI, Pika Labs and Runway directly into Premiere Pro, making it easy for customers to draw on the strengths of different models within the powerful workflows they use every day
  • AI-powered audio workflows in Premiere Pro are now generally available, making audio editing faster, easier and more intuitive

Also relevant see:




 

Corporate Learning Is Boring — But It Doesn’t Have to Be — from hbr.org by Duncan Wardle; via GSV

Summary:
Most corporate learnings aren’t cutting it. Almost 60% of employees say they’re interested in upskilling and training, but 57% of workers also say they’re already pursuing training outside of work. The author, the former Head of Innovation and Creativity at Disney, argues that creativity is the missing piece to make upskilling engaging and effective. From his experience, he shares four strategies to unlock creativity in trainings: 1) Encourage “What if?”, 2) respond “How else?” to challenges, 3) give people time to think by encouraging playfulness, and 4) make training a game.

 

[Report] The Top 100 AI for Work – April 2024 — from flexos.work; with thanks to Daan van Rossum for this resource
AI is helping us work up to 41% more effectively, according to recent Bain research. We review the platforms to consider for ourselves and our teams.

Following our AI Top 150, we spent the past few weeks analyzing data on the top AI platforms for work. This report shares key insights, including the AI tools you should consider adopting to work smarter, not harder.

While there is understandable concern about AI in the work context, the platforms in this list paint a different picture. It shows a future of work where people can do what humans are best suited for while offloading repetitive, digital tasks to AI.

This will fuel the notion that it’s not AI that takes your job but a supercharged human with an army of AI tools and agents. This should be a call to action for every working person and business leader reading this.

 

Say Goodbye to Antiquated Performance Reviews — from td.org by Magdalena Nowicka Mook

Excerpt (emphasis DSC):

Most leaders understand the value of investing in an onboarding process for orientation, productivity, and retention, but few associate onboarding with strong performance over the employee’s full tenure with the organization. By contrast, everboarding is a newer approach that prioritizes ongoing learning and development rather than only an initial commitment. Insights from Deloitte indicate organizations that establish an ongoing learning culture are 52 percent more productive with engagement and achieve retention rates 30–50 percent higher than those that don’t.

When implemented effectively, everboarding embraces proven elements of a coaching culture that establish an ongoing commitment to skill development, deepens understanding of the organization, and supports real-time feedback to prevent stagnancy in high-potential employees brought in through strong hiring practices.

 
© 2024 | Daniel Christian