Wednesday, July 26, 2023

g-f(2)1228 THE BIG PICTURE OF THE DIGITAL AGE, geniouxfacts, g-f Fishing, AI Revolution, 7/26/2023, 6:10 AM

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g-f Fishing, AI Revolution, 7/26/2023, 6:10 AM

ULTRA-condensed knowledge

Lighthouse of the Big Picture of the Digital Age

The “Positive Disruption: Transformation Revolution” has accelerated

The "Positive Disruption: AI Revolution" has accelerated

genioux Facts:

This lighthouse is g-f Fishing golden knowledge containers about the fascinating revolution in artificial intelligence (AI). "g-f Fishing" is a method of finding and sharing golden knowledge (GK). It is a way to exponentially feed your brain and grow without limits.

To "g-f Fish", you can use three amazing tools:
  • Search engines like Google, Bing, or Yahoo
  • Countless mines of GK
  • Experts, research groups, and companies
For my g-f Fishing I have two very brilliant assistants Bard and Bing Chatbot.

The lighthouse is compiling a treasury of valuable information in the form of macro facts. This information is displayed as a fluid list, where the order of the facts can shift based on their significance or pertinence.

The lighthouse is live-streamed on Twitter.

g-f Fishing, AI Revolution, 7/26/2023, 6:10 AM

The g-f Fishing started at 6:10 in the morning. It will remain open throughout the day.

1. McKinsey Global Institute Fact. Generative AI and the future of work in America
  • Multiple forces are set to fuel growth in certain occupations and erode jobs in others.
  • During the pandemic (2019–22), the US labor market saw 8.6 million occupational shifts, 50 percent more than in the previous three-year period. Most involved people leaving food services, in-person sales, and office support for different occupations.
  • By 2030, activities that account for up to 30 percent of hours currently worked across the US economy could be automated—a trend accelerated by generative AI.
    • However, we see generative AI enhancing the way STEM, creative, and business and legal professionals work rather than eliminating a significant number of jobs outright. Automation’s biggest effects are likely to hit other job categories. Office support, customer service, and food service employment could continue to decline.
  • Federal investment to address climate and infrastructure, as well as structural shifts, will also alter labor demand.
  • An additional 12 million occupational transitions may be needed by 2030. As people leave shrinking occupations, the economy could reweight toward higher-wage jobs.
  • The United States will need workforce development on a far larger scale as well as more expansive hiring approaches from employers. Employers will need to hire for skills and competencies rather than credentials, recruit from overlooked populations (such as rural workers and people with disabilities), and deliver training that keeps pace with their evolving needs.

  • Tech giants at the forefront of AI race show recovering growth in core businesses
  • Google and Microsoft are two very different businesses chasing the same Next Big Thing. Fortunately, both are doing well enough to provide the sizable funds needed for that effort.
  • The two reported relatively strong results for the June-ended quarter late Tuesday, featuring improved revenue growth and profitability as a result of cost reductions. Google’s core advertising business returned to growth following two straight quarters of declines, while Microsoft’s cloud and enterprise software businesses beat Wall Street’s projections for the final quarter in its fiscal year, despite slowing corporate spending on technology across the globe.
  • Neither earnings release suggests any change in the two companies’ pursuit of AI. In fact, both showed why the two are the best suited to build on a technology that requires massive computing resources—and equally massive pocketbooks.
  • Microsoft now generates nearly $60 billion in annual free cash flow, while Alphabet produces $71 billion. Both have had a little over $28 billion in capital expenditures over the past four quarters—more than the annual revenue of three-quarters of the companies in the S&P 500.

  • On November 30, when OpenAI released its generative AI chatbot ChatGPT for public use, the S&P 500 was valued at $5 trillion less than its current value, tech spending was in a post-pandemic slump, and the economy seemed to be on the brink of either a recession or sustained high inflation. 
  • However, the S&P 500 surged by over 3% as tech stocks with AI products roared to life. OpenAI investor Microsoft (MSFT) saw a 6% increase, while AI chipmaker Nvidia (NVDA) rose by 8%. Alphabet (GOOGL), the parent company of Google, also experienced a 6% jump that day, and Meta Platforms (META) soared by nearly 8%. 
  • Now that the tech hangover is giving way to a new "gold rush," Wedbush Securities analyst Dan Ives argues. Ives thinks ChatGPT opened the door to another $1 trillion in artificial intelligence-related spending over the coming decade that wasn't on Wall Street's radar.
  • And the economic impact could prove even more far-reaching. Some analysts are even talking about a new Roaring '20s fueled by AI. Experts say generative AI could launch a surge in productivity after a 17-year slump. A productivity pickup couldn't come at a better time, as a worker shortage, an aging population and deglobalization fan inflationary pressures.

  • About a fifth of all workers have high-exposure jobs; women, Asian, college-educated and higher-paid workers are more exposed. But those in the most exposed industries are more likely to say AI will help more than hurt them personally
  • AI performs more like human brainpower and, as its reach grows, that has raised questions about its impact on professional and other office jobs – questions that Pew Research Center seeks to address in a new analysis of government data.
  • What we found
    • In 2022, 19% of American workers were in jobs that are the most exposed to AI, in which the most important activities may be either replaced or assisted by AI.
    • 23% of workers have jobs that are the least exposed to AI, in which the most important activities are farther from the reach of AI. Other workers, nearly six-in-ten in all, are likely to have varying levels of exposure to AI.
    • Jobs with a high level of exposure to AI tend to be in higher-paying fields where a college education and analytical skills can be a plus.

  • It’s not too useful to compare the two companies’ overall performance given their varied product lines and the different economic conditions they have to navigate. But when it comes to AI-related costs and revenues, they share enough surface area that their comments are worth comparing.
  • This earnings season, we’re keeping an eye out for two big indicators: AI costs and AI revenue.
  • Alphabet’s and Microsoft’s results clearly indicate that the costs are high if you want to stay on the leaderboard in the modern AI arena. As for the resulting revenue, it’s starting to accrete but it largely remains something to look forward to.
  • In fewer words: All that AI-related work at these two companies will more likely impact results in the next few quarters than it has proved thus far.

Bing Chatbot's summary:

According to an article published by the Financial Times, Adam Selipsky, the head of Amazon Web Services, stated that there will not be one generative AI model to rule them all1He believes that Microsoft and OpenAI are not way ahead and that there will be choice and competition in the field of generative AI models1. This suggests that the development of generative AI models is an ongoing process and that there will be multiple players in the field, each offering their own unique solutions. Is there anything else you would like to know? 😊

  • Jefferies Senior Analyst Brent Thill joins Yahoo Finance Live anchors Julie Hyman and Brad Smith to discuss artificial intelligence and Big Tech.

8. Venture Beat Fact. What enterprise leaders need to know about generative AI: 8 key takeaways from VB Transform
  • It has been two weeks since VB Transform, the first major independent event focused on the impact of generative AI on the enterprise.
  • Generative AI is widely seen as the most powerful technology force since the internet, and enterprise companies are eager to to leverage it.
  • To help them navigate this new frontier, VB Transform brought together experts and speakers from various industries to share their insights and best practices. See our coverage of the event. But here are my eight key takeaways for enterprise leaders:
    1. It’s all about your data layer
    2. Large language models are going to be the default interface for all computing
    3. Fear and anxiety (and excitement) pervade
    4. Choice abounds: You can build, borrow or piggyback
    5. Multiple use cases. But consider aiming for the stars
    6. Conversational business intelligence is a thing
    7. Unlike crypto, real revenue is being made in generative AI
      • LLMs are still largely about saving costs through productivity gains. But are there any revenue use cases? It’s not clear yet. So far most of the most money being made in gen AI is by startups that are selling cost-saving generative AI solutions, or by companies like Nvidia, which is selling GPUs to run LLMs.
      • Aside from startups, big companies may also be able to use LLMs to generate revenue directly: As McKinsey points out, some incremental revenue can come from boosting sales by using LLMs to do better customization and personalization.
    8. Some dreamier ambitions for LLMs may be overrated

  • Meta’s revenue climbed 11% in the second quarter as advertising rebounded and the company issued an uplifting sales forecast for the third quarter. The stock rose 5% in extended trading.
  • Here are the results.
    • Earnings: $2.98 per share vs. $2.91 expected by Refinitiv.
    • Revenue: $32 billion vs. $31.12 billion expected by Refinitiv.
  • The company said revenue in the third quarter will be $32 billion to $34.5 billion. Analysts polled before the report were expecting third-quarter sales of $31.3 billion, according to Refinitiv. That suggests growth of at least 15% from a year earlier.
  • It’s the first time Meta has reported double-digit growth since the fourth quarter of 2021.
  • “We had a good quarter,” Meta CEO Mark Zuckerberg said in a statement. “We continue to see strong engagement across our apps and we have the most exciting roadmap I’ve seen in a while with Llama 2, Threads, Reels, new AI products in the pipeline, and the launch of Quest 3 this fall.”

  • Google is facing a classic innovators' dilemma. Neither outcome sounds good.
  • Pichai declared Google to be an “A.I.-first” company way back in 2016. Now A.I. is having a major moment—but a Google rival is grabbing all the attention. The November debut of ChatGPT caught Google off guard, setting off a frantic six months in which it scrambled to match the generative A.I. offerings being rolled out by ChatGPT creator OpenAI and its partner and backer, Microsoft.
  • The CEO barely flicks at the issue at the top of his keynote. “With a bold and responsible approach, we are reimagining all our core products, including Search,” Pichai says. It’s an oddly muted way to introduce the product on which the fate of his company—and his legacy—may depend.
  • He leaves it to Cathy Edwards, Google’s vice president of Search, to explain what the company calls, awkwardly, “search generative experience,” or SGE. A combination of search and generative A.I., it returns a single, summarized “snapshot” answer to a user’s search, along with links to websites that corroborate it. Users can ask follow-up questions, much as they would with a chatbot. 
  • It’s a potentially impressive answer generator. But will it generate revenue? That question is at the heart of Google’s innovator’s dilemma

Extra-condensed knowledge

g-f Fishing, AI Revolution, 7/26/2023, 6:10 AM

  • Artificial intelligence (AI) has brought changes to the world that are impossible to ignore, signalling a new era of technological advancement. These changes highlight the immense potential for collaboration between humans and AI. Rather than fearing the rise of AI, it's important that we consider the possible future that harnesses unique strengths of both humans and AI to drive innovation, productivity and societal progress.
  • The Power Of Human-AI Collaboration. While AI has made remarkable strides in automating routine tasks, its true potential is realized when combined with human intelligence.
  • Enhancing Decision-Making With AI. It is crucial to remember that AI should never replace human judgment. Instead, consider viewing AI as a tool that enriches human decision-making by providing valuable insights and data-driven recommendations that humans would have otherwise gone without.
  • The Future Of Human-AI Symbiosis. The potential for collaboration between humans and AI extends across multiple domains, shaping a promising future. 
  • These are just a few examples of how human-AI collaboration can lead to transformative change. It is crucial to recognize that AI is not a replacement for human intelligence, but rather a powerful tool that can augment and amplify our capabilities.

  • While some people have feared that AI may replace human workers, there is a growing perspective that AI can actually create new jobs—here's how AI can contribute to job creation.
  • Automation And Work Transformation. AI has the potential to automate and simplify numerous repetitive and manual tasks that require less creativity and critical reasoning. This can enable workers to focus on more meaningful and high-value activities.
  • New Opportunities In The Field Of AI. The creation and development of AI systems require machine learning engineers, data scientists and specialized researchers. These types of professionals are increasingly in demand and well-compensated.
  • Entrepreneurship. AI is also opening up new possibilities for non-traditional jobs and entrepreneurship. With access to AI-based tools and resources, individuals can create their own businesses based on innovative and customized solutions.
  • It is crucial for workers to adapt to this evolution by acquiring updated skills and harnessing the potential of AI to enhance their work capabilities. AI has the potential to create new jobs—provided there is an effective synergy between artificial intelligence and human skills.

  • As Microsoft Corp. and Alphabet Inc. get more serious about artificial intelligence, they’re spending a lot more time discussing it with the investment community.
  • There were 90 mentions of “AI” or “artificial intelligence” on Alphabet’s earnings call, according to MarketWatch’s review of transcripts provided by AlphaSense/Sentieo. Meanwhile, the topic came up 73 times on Microsoft’s call. The counts, which include mentions of the term brought up by analysts as well as executives, were new records for the respective companies.
  • Now that the AI frenzy is farther along and that Microsoft and Alphabet have established themselves as leaders in the field, Wall Street increasingly wants to know how much revenue opportunity is in the technology — and at what cost.

14. nature Fact. ChatGPT broke the Turing test — the race is on for new ways to assess AI
  • Large language models (LLMs) can mimic human chatter very well, but scientists disagree on their ability to reason. LLMs can pass tough exams, write essays that seem human-written, and chat fluently. However, they cannot solve simple visual logic puzzles.
  • A team of researchers developed a new benchmark for testing the capabilities of AI systems. The benchmark consists of simple visual logic puzzles that LLMs struggle to solve. The goal of the benchmark is to help address the conundrum about LLMs. On the one hand, LLMs can breeze through tasks that were once considered landmark feats of machine intelligence. On the other hand, they seem less impressive when tested on tasks that require abstract reasoning.
  • The new benchmark provides a better way to assess the capabilities of LLMs. It is hoped that the benchmark will help to develop LLMs that are more capable of reasoning about abstract concepts.

  • Meta shares rallied Wednesday after delivering another quarterly earnings report that topped Wall Street’s expectations, extending the sizzling stock's winning streak as the company leaves its metaverse slipup in the rearview mirror.
  • Meta reported $32 billion of sales and $2.98 earnings per share, beating consensus analyst estimates of $31.1 billion of revenue and $2.91 earnings per share, according to FactSet.
  • That marks Meta’s most profitable quarter since 2021, when the company changed its name from Facebook to reflect its newfound commitment to augmented and virtual reality, or the metaverse.

  • As actors and writers strike over fair compensation and protections from the encroachment of artificial intelligence, Netflix has listed a position for a machine learning product manager that will compensate somewhere between $300,000 and $900,000 a year. According to the Screen Actors Guild (Sag-Aftra), 87% of the guild’s actors make less than $26,000 per year.
  • This is not the only new AI position sought by Netflix. The Intercept reported that the company is also seeking to hire a technical director for generative AI at its gaming studio for up to $650,000 a year. Generative AI can produce text, images and video from input data, which could be used to create original content or for advertising purposes. 

  • For a second there, Google looked like it would fall behind.
  • It was OpenAI that released the first consumer-facing, generative-A.I.-powered chatbot last fall—despite how Google’s artificial intelligence team had long been “the envy of the tech community,” as my colleague Jeremy Kahn details in the latest Fortune cover story.
  • In 2017, it was Google researchers who came up with the basic algorithmic design—an artificial neural network called a transformer—that would end up underpinning the generative A.I. boom.
  • How would a chatbot tie in with the largest source of Google’s revenue—its advertising?
  • This is a question Google hasn’t quite answered yet—even as the company goes ahead with an A.I.-powered product release rampage this year: its ChatGPT competitor Bard, its Workspace writing assistant functions, its Vertex A.I. environment, and, as was announced at the company’s annual developer conference in May, new features for Gmail, Google Maps, and photo editing, as noted in Kahn’s story.
  • Elizabeth Reid, Google’s vice president of Search, told Kahn the company is “continuing to experiment with ads.” 

  • Plus: OpenAI says it's created an AI that it'll never release
  • It’s high time for more AI transparency. In less than a week since Meta launched its open source AI model, LLaMA 2, startups and researchers have already used it to develop a chatbot and an AI assistant. It will be only a matter of time until companies start launching products built with it.
  • By allowing the wider AI community to download the model and tweak it, Meta could help to make it safer and more efficient.
  • The world isn’t prepared for what OpenAI’s been working on
    • Sam Altman says his staff have created a dangerous AI they’ll never release. (The Atlantic)
  • Twitter’s name change will cost its brand billions
    • ‘Tweeting’ is part of our cultural lexicon—but Elon Musk doesn’t seem to care.  (Bloomberg)

  • On Sunday, in the middle of a quiet summer weekend, Elon Musk decreed that Twitter’s product name would be changed to “X,” and that he is getting rid of the bird logo and all the associated words, including “tweet.” Musk’s move wiped out anywhere between $4 billion and $20 billion in value, according to analysts and brand agencies.
  • “It took 15-plus years to earn that much equity worldwide, so losing Twitter as a brand name is a significant financial hit,” said Steve Susi, director of brand communication at Siegel & Gale.
  • Twitter’s popularity has also made verbs like “tweet” and “retweet” part of modern culture, used regularly to explain how celebrities, politicians and others communicated with the public, said Joshua White, assistant professor of finance at Vanderbilt University.

  • In 2017, I wrote a post on the need to retrain millions of Americans for the coming wave of technological change, calling it: “The challenge of our times.” That was before ChatGPT. If it was a challenge then, it is more so now.
  • The folks at McKinsey Global Institute, whose study prompted my post in 2017, have attempted to attach some new numbers to the change. Generative A.I., they write in a new report out this morning, can be used “to write code, design products, create marketing content and strategies, streamline operations, analyze documents, provide customer service, and even accelerate scientific discovery.”
  • Before generative A.I., their research estimated automation could take over tasks accounting for 21.5% of the hours worked in the U.S. economy by 2030. With the new technology, that number jumps to 29.5%.
  • The biggest change is for STEM professionals, where automation potential by 2030 jumps from 14% of work hours to 30% of work hours. Similar big jumps occur for education and training work, creative and arts management work, and business and legal automation. The study does not conclude that generative A.I. will lead to a drop in jobs, but rather that those jobs, and the mix of activities they involve, will change dramatically.

Condensed knowledge

g-f Fishing, AI Revolution, 7/26/2023, 6:10 AM

Generative AI is experimental. Info quality may vary.

Here are some top artificial intelligence (AI) stocks:
  • NVDA: The best-performing AI stock over the past year
  • Alphabet: One of the largest AI companies by market cap
  • Adobe: One of the best AI stocks to buy for 2023
  • Amazon: One of the top AI stocks to buy in 2023
  • IBM: One of the top AI stocks to buy in 2023
  • Microsoft: One of the largest AI companies by market cap
  • Global X Robotics and Artificial Intelligence ETF (BOTZ): One of the best AI ETFs to invest in for 2023
  • UIPath Inc. (NYSE:PATH): One of the best AI stocks to buy according to hedge funds
  • Oracle Corporation (NYSE:ORCL): One of the top AI companies to watch in 2023
This is not professional financial advice. Consulting a financial advisor about your particular circumstances is best.

Bing Chatbot's summary:

There are several artificial intelligence stocks that are recommended by different sources. According to one source, the top 5 artificial intelligence stocks are Microsoft, Alphabet, Nvidia, Taiwan Semiconductor Manufacturing, and Meta Platforms1Another source recommends Nvidia and Microsoft as top AI stocks that have delivered stellar returns to investors in recent years and are already outperforming the market again in 2023 thanks to the growing demand for AI hardware and software2Other sources recommend Adobe, Shutterstock, NICE Systems, SAP, QiAn Xin, Relx, Palantir, Nvidia, AIChip Technologies, Taiwan Semiconductor Manufacturing, Advantest, Arista Networks, Hoya, and ASML Holding1Additionally, some biotech stocks such as Recursion Pharmaceuticals and Schrodinger that are implementing AI are also surging3. I hope this information is helpful! 😊

  • The advent of AI-enabled drones holds huge promise for Ukraine’s military but may also be exploited by nefarious non-state actors
  • The improvements in speed, flight range, payload capacity and other capabilities are having an immediate impact on the battlefield, enabling Ukraine to destroy Russian vehicles, blow up surveillance posts and even wreck parts of Russian President Vladimir Putin’s prized Crimean Bridge in an operation last week involving explosive-laden naval drones.

Bing Chatbot's summary:

The war in Ukraine is spurring a revolution in drone warfare using AI. Drones empowered with artificial intelligence hold huge promise for Ukraine’s military but could also benefit nefarious non-state actors like terrorists and drug cartels1. The war in Ukraine has set the stage for the unprecedented applications of autonomous drones in warfare. The increasing ability for drones to fight autonomously is raising serious ethical questions2. New artificial intelligence software being deployed in Ukraine keeps drones locked on a preselected target, even as Russia tries to interfere or as the target moves. It represents a significant upgrade from existing drones that track specific coordinates3Two drone experts spoke about freewheeling AI development and what it could mean for the future2.

From Microsoft Start Partners

Learn more:

Here are some articles about The War In Ukraine Is Spurring A Revolution In Drone Warfare Using Ai

24. AXIOS fact. Amazon wants Alexa to bring AI into the home

  • Amazon expects generative AI to jolt its middle-aged Alexa voice assistant to new life.
  • The giant online seller sees the AI boom as a chance to dust off the more than half a billion devices that have Alexa built in and give them fresh relevance as delivery channels for the equivalent of a voice-enabled ChatGPT — and more.
  • Amazon has pitched its web services as an ideal place to host and run generative AI applications, but has been relatively quiet about offering services directly to consumers. That's about to change, Axios has learned.

25. Venture Beat Fact. Genpact teams up with Microsoft to empower its workforce with generative AI tools

  • Genpact and Microsoft have announced a strategic collaboration that will grant Genpact’s global talent access to Microsoft’s Azure OpenAI Service. This partnership aims to unlock fresh possibilities in implementing generative AI capabilities and solutions for its joint clients.
  • Genpact plans to leverage large language models (LLMs) to harness the potential of gen AI, driving enterprise efficiencies across domains such as transition management, global service desk management and infrastructure management.
  • To support employees accessing Microsoft Azure’s AI tools and foster a culture of continuous learning and innovation, the company said that it will provide employees with comprehensive training programs and resources.

26. The Street Fact. Programming 'Good' into AI

  • AI's role in gaming, education, and the potential for future protective measures.
  • In a recent roundtable discussion with experts from different fields, the future of artificial intelligence, its influence on the gaming industry, and its potential impact on education was a focal point of conversation. Anchored by Roundtable anchor, Rob Nelson, the conversation moved from the inexorable progress of AI to its potential pitfalls and possibilities in the educational and gaming sectors.

  • Amazon is strengthening its cloud computing platform with AI. Here are the highlights.
  • Amazon also has a strong presence in cloud computing and is about to become more involved with generative AI.

  • Along with startup Anthropic, the companies formed the group to establish responsible AI practices.
  • ChatGPT maker Open AI , startup Anthropic and tech giants Google and Microsoft have forged an alliance to create a framework for safety standards and the responsible development of what they're calling "frontier AI" models. 

  • The music you listen to creates specific brain patterns that AI can use to generate that same sound. Here's how.
  • In a new research paper, Brain2Music, Google uses AI to reconstruct music from brain activity as seen through functional magnetic resonance imaging (fMRI) data.

30. The Atlantic Fact. America Already Has An AI Underclass
  • Search engines, ChatGPT, and other AI tools wouldn’t function without an army of contractors. Now those workers say they’re underpaid and mistreated.

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g-f Fishing, AI Revolution, 7/26/2023, 6:10 AM


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