AI-assisted job fraud is spiking — from thedeepview.co by Ian Krietzberg

A recent report published by the Identity Theft Resource Center (ITRC) found that data from 2023 shows “an environment where bad actors are more effective, efficient and successful in launching attacks. The result is fewer victims (or at least fewer victim reports), but the impact on individuals and businesses is arguably more damaging.”

One of these attacks involves fake job postings.

The details: The ITRC said that victim reports of job and employment scams spiked some 118% in 2023. These scams were primarily carried out through LinkedIn and other job search platforms.

    • The bad actors here would either create fake (but professional-looking) job postings, profiles and websites or impersonate legitimate companies, all with the hopes of landing victims to move onto the interview process.
    • These actors would then move the conversation onto a third-party messaging platform, and ask for identity verification information (driver’s licenses, social security numbers, direct deposit information, etc.).

Hypernatural — AI videos you can actually use. — via Jeremy Caplan’s Wonder Tools

Hypernatural is an AI video platform that makes it easy to create beautiful, ready-to share videos from anything. Stop settling for glitchy 3s generated videos and boring stock footage. Turn your ideas, scripts, podcasts and more into incredible short-form videos in minutes.


GPT-4o mini: advancing cost-efficient intelligence — from openai.com
Introducing our most cost-efficient small model

OpenAI is committed to making intelligence as broadly accessible as possible. Today, we’re announcing GPT-4o mini, our most cost-efficient small model. We expect GPT-4o mini will significantly expand the range of applications built with AI by making intelligence much more affordable. GPT-4o mini scores 82% on MMLU and currently outperforms GPT-41 on chat preferences in LMSYS leaderboard(opens in a new window). It is priced at 15 cents per million input tokens and 60 cents per million output tokens, an order of magnitude more affordable than previous frontier models and more than 60% cheaper than GPT-3.5 Turbo.

GPT-4o mini enables a broad range of tasks with its low cost and latency, such as applications that chain or parallelize multiple model calls (e.g., calling multiple APIs), pass a large volume of context to the model (e.g., full code base or conversation history), or interact with customers through fast, real-time text responses (e.g., customer support chatbots).

Also see what this means from Ben’s Bites, The Neuron, and as The Rundown AI asserts:

Why it matters: While it’s not GPT-5, the price and capabilities of this mini-release significantly lower the barrier to entry for AI integrations — and marks a massive leap over GPT 3.5 Turbo. With models getting cheaper, faster, and more intelligent with each release, the perfect storm for AI acceleration is forming.


Nvidia: More AI Waves Are Taking Shape — from seekingalpha.com by Eric Sprague

Summary

  • Nvidia Corporation is transitioning from a GPU designer to an AI factory builder.
  • AI spending will continue to grow in healthcare, government, and robotics.
  • CEO Jensen Huang says the AI robot industry could be bigger than the auto and consumer electronics industries combined.

Byte-Sized Courses: NVIDIA Offers Self-Paced Career Development in AI and Data Science — from blogs.nvidia.com by Andy Bui
Industry experts gather to share advice on starting a career in AI, highlighting technical training and certifications for career growth.

 


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

 

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)

 

Daniel Christian: My slides for the Educational Technology Organization of Michigan’s Spring 2024 Retreat

From DSC:
Last Thursday, I presented at the Educational Technology Organization of Michigan’s Spring 2024 Retreat. I wanted to pass along my slides to you all, in case they are helpful to you.

Topics/agenda:

  • Topics & resources re: Artificial Intelligence (AI)
    • Top multimodal players
    • Resources for learning about AI
    • Applications of AI
    • My predictions re: AI
  • The powerful impact of pursuing a vision
  • A potential, future next-gen learning platform
  • Share some lessons from my past with pertinent questions for you all now
  • The significant impact of an organization’s culture
  • Bonus material: Some people to follow re: learning science and edtech

 

Education Technology Organization of Michigan -- ETOM -- Spring 2024 Retreat on June 6-7

PowerPoint slides of Daniel Christian's presentation at ETOM

Slides of the presentation (.PPTX)
Slides of the presentation (.PDF)

 


Plus several more slides re: this vision.

 

The state of AI in early 2024: Gen AI adoption spikes and starts to generate value — from mckinsey.com
As generative AI adoption accelerates, survey respondents report measurable benefits and increased mitigation of the risk of inaccuracy. A small group of high performers lead the way.

If 2023 was the year the world discovered generative AI (gen AI), 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. Respondents’ expectations for gen AI’s impact remain as high as they were last year, with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead.

Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value.
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What’s the future of AI? — from mckinsey.com
AI is here to stay. To outcompete in the future, organizations and individuals alike need to get familiar fast. This series of McKinsey Explainers dives deep into the seven technologies that are already shaping the years to come.

We’re in the midst of a revolution. Just as steam power, mechanized engines, and coal supply chains transformed the world in the 18th century, AI technology is currently changing the face of work, our economies, and society as we know it. We don’t know exactly what the future will look like. But we do know that these seven technologies will play a big role.
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Generate an e-book in minutes with groqbook — from heatherbcooper.substack.com by Heather Cooper
Plus new Canva workflow tools, Perplexity Pages, and more
.

Introducing a whole new Canva, designed for work

The new Canva
Canva announced “a whole new Canva” to improve workplace collaborative creation and a revamped platform to simplify its tools for anyone to use.

At Canva Create, several AI features were announced that enhance the design and content creation process:

  1. Magic Design: Upload an image and select a style to get a curated selection of personalized templates.
  2. Magic Write: An AI-powered copywriting assistant that can generate written content from a text prompt, useful for presentations and website copy.
  3. Magic Eraser: This feature can remove unwanted objects or backgrounds from images.
  4. Magic Edit: Users can swap an object with something else entirely using generative AI.
  5. Beat Sync: Automatically matches video footage to a soundtrack of your choice.
  6. Translate: Automatically translates text in designs to over 100 different languages.

Tools are the next big thing in AI — from link.wired.com by Will Knight

Things might get more interesting in business settings as AI companies start deploying so-called “AI agents,” which can take action by operating other software on a computer or via the internet.

Anthropic, a competitor to OpenAI, announced a major new product today that attempts to prove the thesis that tool use is needed for AI’s next leap in usefulness.

 

Via The Rundown AI

The Rundown: Nvidia CEO Jensen Huang just announced a series of new AI announcements during a keynote at the Computex conference, including next-gen ‘Rubin’ chips, a new AI gaming assistant, and AI tools for creating lifelike avatars.

The details:

  • Nvidia’s ‘Rubin’ platform is slated for 2026, with the ‘Rubin Ultra’ coming a year later as part of what Huang called a “new industrial revolution”.
  • Nvidia also showed off Project G-Assist, an AI gaming assistant that provides context-aware help and personalized responses for PC games.
  • The company also introduced ACE, a suite of AI services that simplify the creation of digital avatars for applications like customer service and healthcare.

More re: Nvidia:

  • Nvidia and AMD announced new next-generation AI chips — from qz.com by Britney Nguyen
    Nvidia CEO Jensen Huang announced the company’s next AI platform, called Rubin
  • ‘Accelerate Everything,’ NVIDIA CEO Says Ahead of COMPUTEX — from blogs.nvidia.com by Brian Caulfield
    Emphasizing cost reduction and sustainability, Huang detailed new semiconductors, software and systems to power data centers, factories, consumer devices, robots and more, driving a new industrial revolution.
  • Nvidia Unveils Next-Generation Rubin AI Platform for 2026 — from bloomberg.com by Ian King and Vlad Savov
    CEO Jensen Huang reveals plans for annual upgrade cycle | Company details plans for Blackwell Ultra and subsequent chips
    Nvidia Corp. Chief Executive Officer Jensen Huang said the company plans to upgrade its AI accelerators every year, announcing a Blackwell Ultra chip for 2025 and a next-generation platform in development called Rubin for 2026.
 

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.

 

Nvidia’s AI boom is only getting started. Just ask CEO Jensen Huang — from fastcompany.com by Harry McCracken
Nvidia’s chips sparked the AI revolution. Now it’s in the business of putting the technology to work in an array of industries.

Nvidia is No. 1 on Fast Company’s list of the World’s 50 Most Innovative Companies of 2024. Explore the full list of companies that are reshaping industries and culture.

Nvidia isn’t just in the business of providing ever-more-powerful computing hardware and letting everybody else figure out what to do with it. Across an array of industries, the company’s technologies, platforms, and partnerships are doing much of the heavy lifting of putting AI to work. In a single week in January 2024, for instance, Nvidia reported that it had begun beta testing its drug discovery platform, demoed software that lets video game characters speak unscripted dialogue, announced deals with four Chinese EV manufacturers that will incorporate Nvidia technology in their vehicles, and unveiled a retail-industry partnership aimed at foiling organized shoplifting.


Johnson & Johnson MedTech Works With NVIDIA to Broaden AI’s Reach in Surgery — from blogs.nvidia.com by David Niewolny

AI — already used to connect, analyze and offer predictions based on operating room data — will be critical to the future of surgery, boosting operating room efficiency and clinical decision-making.

That’s why NVIDIA is working with Johnson & Johnson MedTech to test new AI capabilities for the company’s connected digital ecosystem for surgery. It aims to enable open innovation and accelerate the delivery of real-time insights at scale to support medical professionals before, during and after procedures.

J&J MedTech is in 80% of the world’s operating rooms and trains more than 140,000 healthcare professionals each year through its education programs.


GE and NVIDIA Join Forces to Accelerate Artificial Intelligence Adoption in Healthcare — from nvidianews.nvidia.com

  • New generation of intelligent medical devices will use world’s most advanced AI platform with the goal of improving patient care
  • GE Healthcare is the first medical device company to use the NVIDIA GPU Cloud
  • New Revolution Frontier CT, powered by NVIDIA, is two times faster for image processing, proving performance acceleration has begun

Nvidia Announces Major Deals With Healthcare Companies — from cheddar.com

At the GTC A.I. conference last week, Nvidia launched nearly two dozen new A.I. powered, health care focused tools and deals with companies Johnson & Johnson and GE Healthcare for surgery and medical imaging. The move into health care space for the A.I. company is an effort that’s been under development for a decade.


Nvidia is now powering AI nurses — from byMaxwell Zeff / Gizmodo;; via Claire Zau
The cheap AI agents offer medical advice to patients over video calls in real-time

 


How Early Adopters of Gen AI Are Gaining Efficiencies — from knowledge.wharton.upenn.edu by Prasanna (Sonny) Tambe and Scott A. Snyder; via Ray Schroeder on LinkedIn
Enterprises are seeing gains from generative AI in productivity and strategic planning, according to speakers at a recent Wharton conference.

Its unique strengths in translation, summation, and content generation are especially useful in processing unstructured data. Some 80% of all new data in enterprises is unstructured, he noted, citing research firm Gartner. Very little of that unstructured data that resides in places like emails “is used effectively at the point of decision making,” he noted. “[With gen AI], we have a real opportunity” to garner new insights from all the information that resides in emails, team communication platforms like Slack, and agile project management tools like Jira, he said.


6 YouTube Channels to Stay Up to Date with AI — from heaigirl.substack.com by Diana Dovgopol
Here are some cool AI YouTube channels.

Here are 6 YouTube channels I watch to stay up to date with AI. This list will be useful whether you’re a casual AI enthusiast or an experienced programmer.

1. Matt Wolfe: AI for non-coders
This is a fast-growing YouTube channel focused on artificial intelligence for non-coders. On this channel, you’ll find videos about ChatGPT, Midjourney, and any AI tool that it’s gaining popularity.


Top AI mobile apps, Stable Video 3D, & my AI film workflow — from by Heather Cooper
Plus 1-Click 3D animation and other cool AI tools

#3 Photomath
Photomath is a comprehensive math help app that provides step-by-step explanations for a wide range of math problems, from elementary to college level. Photomath is only available as a mobile app. (link)

Features:

  • Get step-by-step solutions with multiple methods to choose from
  • Scan any math problem, including word problems, using the app’s camera
  • Access custom visual aids and extra “how” and “why” tips for deeper understanding

Google researchers unveil ‘VLOGGER’, an AI that can bring still photos to life — from venturebeat.com by Michael Nuñez

Google researchers have developed a new artificial intelligence system that can generate lifelike videos of people speaking, gesturing and moving — from just a single still photo. The technology, called VLOGGER, relies on advanced machine learning models to synthesize startlingly realistic footage, opening up a range of potential applications while also raising concerns around deepfakes and misinformation.



What We Risk By Automating Tasks We Loathe — from marcwatkins.substack.com by Marc Watkins

I’m fascinated by the potential of these tools to augment and enhance our work and creativity. There’s no denying the impressive capabilities we’re already seeing with text generation, image creation, coding assistance, and more. Used thoughtfully, AI can be a powerful productivity multiplier.

At the same time, I have significant concerns about the broader implications of this accelerating technology, especially for education and society at large. We’re traversing new ground at a breakneck pace, and it’s crucial that we don’t blindly embrace AI without considering the potential risks.

My worry is that by automating away too many tasks, even seemingly rote ones like creating slide decks, we risk losing something vital—humanity at the heart of knowledge work.


Nvidia Introduce AI Nurses — from wireprompt.substack.com | Weekkly AI Report from WirePrompt

Nvidia has announced a partnership with Hippocratic AI to introduce AI “agents” aimed at replacing nurses in hospitals. These AI “nurses” come at a significantly low cost compared to human nurses and are purportedly intended to address staffing issues by handling “low-risk,” patient-facing tasks via video calls. However, concerns are raised regarding the ethical implications and effectiveness of replacing human nurses with AI, particularly given the complex nature of medical care.



16 Changes to the Way Enterprises Are Building and Buying Generative AI — from a16z.com by Sarah Wang and Shangda Xu

TABLE OF CONTENTS

  • Resourcing: budgets are growing dramatically and here to stay
  • Models: enterprises are trending toward a multi-model, open source world
  • Use cases: more migrating to production
  • Size of total opportunity: massive and growing quickly

 

GTC March 2024 Keynote with NVIDIA CEO Jensen Huang


Also relevant/see:




 


[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.


 

How AI Is Already Transforming the News Business — from politico.com by Jack Shafer
An expert explains the promise and peril of artificial intelligence.

The early vibrations of AI have already been shaking the newsroom. One downside of the new technology surfaced at CNET and Sports Illustrated, where editors let AI run amok with disastrous results. Elsewhere in news media, AI is already writing headlines, managing paywalls to increase subscriptions, performing transcriptions, turning stories in audio feeds, discovering emerging stories, fact checking, copy editing and more.

Felix M. Simon, a doctoral candidate at Oxford, recently published a white paper about AI’s journalistic future that eclipses many early studies. Swinging a bat from a crouch that is neither doomer nor Utopian, Simon heralds both the downsides and promise of AI’s introduction into the newsroom and the publisher’s suite.

Unlike earlier technological revolutions, AI is poised to change the business at every level. It will become — if it already isn’t — the beginning of most story assignments and will become, for some, the new assignment editor. Used effectively, it promises to make news more accurate and timely. Used frivolously, it will spawn an ocean of spam. Wherever the production and distribution of news can be automated or made “smarter,” AI will surely step up. But the future has not yet been written, Simon counsels. AI in the newsroom will be only as bad or good as its developers and users make it.

Also see:

Artificial Intelligence in the News: How AI Retools, Rationalizes, and Reshapes Journalism and the Public Arena — from cjr.org by Felix Simon

TABLE OF CONTENTS



EMO: Emote Portrait Alive – Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak Conditions — from humanaigc.github.io Linrui Tian, Qi Wang, Bang Zhang, and Liefeng Bo

We proposed EMO, an expressive audio-driven portrait-video generation framework. Input a single reference image and the vocal audio, e.g. talking and singing, our method can generate vocal avatar videos with expressive facial expressions, and various head poses, meanwhile, we can generate videos with any duration depending on the length of input video.


Adobe previews new cutting-edge generative AI tools for crafting and editing custom audio — from blog.adobe.com by the Adobe Research Team

New experimental work from Adobe Research is set to change how people create and edit custom audio and music. An early-stage generative AI music generation and editing tool, Project Music GenAI Control allows creators to generate music from text prompts, and then have fine-grained control to edit that audio for their precise needs.

“With Project Music GenAI Control, generative AI becomes your co-creator. It helps people craft music for their projects, whether they’re broadcasters, or podcasters, or anyone else who needs audio that’s just the right mood, tone, and length,” says Nicholas Bryan, Senior Research Scientist at Adobe Research and one of the creators of the technologies.


How AI copyright lawsuits could make the whole industry go extinct — from theverge.com by Nilay Patel
The New York Times’ lawsuit against OpenAI is part of a broader, industry-shaking copyright challenge that could define the future of AI.

There’s a lot going on in the world of generative AI, but maybe the biggest is the increasing number of copyright lawsuits being filed against AI companies like OpenAI and Stability AI. So for this episode, we brought on Verge features editor Sarah Jeong, who’s a former lawyer just like me, and we’re going to talk about those cases and the main defense the AI companies are relying on in those copyright cases: an idea called fair use.


FCC officially declares AI-voiced robocalls illegal — from techcrunch.com by Devom Coldewey

The FCC’s war on robocalls has gained a new weapon in its arsenal with the declaration of AI-generated voices as “artificial” and therefore definitely against the law when used in automated calling scams. It may not stop the flood of fake Joe Bidens that will almost certainly trouble our phones this election season, but it won’t hurt, either.

The new rule, contemplated for months and telegraphed last week, isn’t actually a new rule — the FCC can’t just invent them with no due process. Robocalls are just a new term for something largely already prohibited under the Telephone Consumer Protection Act: artificial and pre-recorded messages being sent out willy-nilly to every number in the phone book (something that still existed when they drafted the law).


EIEIO…Chips Ahoy! — from dashmedia.co by Michael Moe, Brent Peus, and Owen Ritz


Here Come the AI Worms — from wired.com by Matt Burgess
Security researchers created an AI worm in a test environment that can automatically spread between generative AI agents—potentially stealing data and sending spam emails along the way.

Now, in a demonstration of the risks of connected, autonomous AI ecosystems, a group of researchers have created one of what they claim are the first generative AI worms—which can spread from one system to another, potentially stealing data or deploying malware in the process. “It basically means that now you have the ability to conduct or to perform a new kind of cyberattack that hasn’t been seen before,” says Ben Nassi, a Cornell Tech researcher behind the research.

 

Generative AI’s environmental costs are soaring — and mostly secret — from nature.com by Kate Crawfold
First-of-its-kind US bill would address the environmental costs of the technology, but there’s a long way to go.

Last month, OpenAI chief executive Sam Altman finally admitted what researchers have been saying for years — that the artificial intelligence (AI) industry is heading for an energy crisis. It’s an unusual admission. At the World Economic Forum’s annual meeting in Davos, Switzerland, Altman warned that the next wave of generative AI systems will consume vastly more power than expected, and that energy systems will struggle to cope. “There’s no way to get there without a breakthrough,” he said.

I’m glad he said it. I’ve seen consistent downplaying and denial about the AI industry’s environmental costs since I started publishing about them in 2018. Altman’s admission has got researchers, regulators and industry titans talking about the environmental impact of generative AI.


Get ready for the age of sovereign AI | Jensen Huang interview— from venturebeat.com by Dean Takahashi

Yesterday, Nvidia reported $22.1 billion in revenue for its fourth fiscal quarter of fiscal 2024 (ending January 31, 2024), easily topping Wall Street’s expectations. The revenues grew 265% from a year ago, thanks to the explosive growth of generative AI.

He also repeated a notion about “sovereign AI.” This means that countries are protecting the data of their users and companies are protecting data of employees through “sovereign AI,” where the large-language models are contained within the borders of the country or the company for safety purposes.



Yikes, Google — from theneurondaily.com by Noah Edelman
PLUS: racially diverse nazis…WTF?!

Google shoots itself in the foot.
Last week was the best AND worst week for Google re AI.

The good news is that its upcoming Gemini 1.5 Pro model showcases remarkable capabilities with its expansive context window (details forthcoming).

The bad news is Google’s AI chatbot “Gemini” is getting A LOT of heat after generating some outrageous responses. Take a look:

Also from the Daily:

  • Perplexity just dropped this new podcast, Discover Daily, that recaps the news in 3-4 minutes.
  • It already broke into the top #200 news pods within a week.
  • AND it’s all *100% AI-generated*.

Daily Digest: It’s Nvidia’s world…and we’re just living in it. — from bensbites.beehiiv.com

  • Nvidia is building a new type of data centre called AI factory. Every company—biotech, self-driving, manufacturing, etc will need an AI factory.
  • Jensen is looking forward to foundational robotics and state space models. According to him, foundational robotics could have a breakthrough next year.
  • The crunch for Nvidia GPUs is here to stay. It won’t be able to catch up on supply this year. Probably not next year too.
  • A new generation of GPUs called Blackwell is coming out, and the performance of Blackwell is off the charts.
  • Nvidia’s business is now roughly 70% inference and 30% training, meaning AI is getting into users’ hands.

Gemma: Introducing new state-of-the-art open models  — from blog.google


 

 


From voice synthesis to fertility tracking, here are some actually helpful AI products at CES — from techcrunch.com by Devin Coldewey

But a few applications of machine learning stood out as genuinely helpful or surprising — here are a few examples of AI that might actually do some good.

The whole idea that AI might not be a total red flag occurred to me when I chatted with Whispp at a press event. This small team is working on voicing the voiceless, meaning people who have trouble speaking normally due to a condition or illness.

Whispp gives a voice to people who can’t speak


CES 2024: Everything revealed so far, from Nvidia and Sony to the weirdest reveals and helpful AI — from techcrunch.com by Christine Hall

Kicking off the first day were some bigger announcements from companies, including Nvidia, LG, Sony and Samsung. Those livestreams have ended, but you can watch most of their archives and catch up right here. And with the event still ongoing, and the show floor open, here’s how you can follow along with our team’s coverage.

Or, to dive into each day’s updates directly, you can follow these links:

 

 

ChatGPT Gold Rush Of 2024 — from newsletter.thedailybite.co
GPT marketplace, McAfee’s anti-deepfake tech, and more…

Forget pickaxes and panning for nuggets; the new frontier of wealth lies in lines of code.

OpenAI just announced that their GPT Store is launching this week, and it allows ChatGPT Plus and Enterprise customers to create and sell their own custom AI models – no coding required. ?

Translation for those sleeping in the back:

This is the beginning of the GPT Gold Rush.

Opens AI’s move allows users to create a GPT for essentially any need. Imagine a specific GPT for anything from a fitness coach to a master chef recipe generator AND you get paid when people use it.


Are We All In On OpenAI’s GPT Store? — from news.theaiexchange.com
Custom GPTs: A new revenue stream?; DIY AI sales development rep

Excerpt from OpenAI’s GPT Store: A Game-Changer or a Gamble? section:

But before you dive in to Custom GPTs, there are a few things you should know.

  1. Access to these custom GPTs is exclusive to ChatGPT Plus paid accounts. This could be a strategic move by OpenAI to increase Plus account adoption, and it could deter potential users.
  2. OpenAI hasn’t been forthcoming about the revenue sharing model. This lack of transparency could definitely discourage creators from sharing their custom GPTs.
  3. Some of the data uploaded to and chat transcripts in custom GPTs are shared back with OpenAI for future AI model training.

 

 
© 2024 | Daniel Christian