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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.- Search engines like Google, Bing, or Yahoo
- Countless mines of GK
- Experts, research groups, and companies
- In our newest Capgemini Research Institute report, Harnessing the value of generative AI: Top use cases across industries, we delve into the transformative potential of the technology specifically from the perspective of organizations. This report is the second part of our series on generative AI and follows our previous report that looked at generative AI through the consumer lens.
- Naturally, the range of uses holds a lot of appeal for organizations, which see potential for accelerating growth, enhancing operations, and unlocking new opportunities. Already, 96% of organizations say generative AI is on their boardroom agenda. And their outlook is quite optimistic: executives predict improvements of 7–9% resulting from generative AI adoption in just the next three years, and about one-fifth of executives surveyed globally say generative AI will significantly disrupt their industries.
- How ChatGPT can act as an agent and do things for you, such as search the web, purchase plane tickets, and send emails.
- ChatGPT generates text after being given prompts, making it a useful tool for creating summaries, explaining concepts, and suggesting recipes or trip itineraries.
- To make the most of generative AI, you can also use ChatGPT in concert with external tools to answer complex questions and execute actions. Here, MIT Sloan professor of the practice Rama Ramakrishnan looks at how to use ChatGPT as an agent to do things like search the web, order groceries, purchase plane tickets, or send emails.
- Download the PDF How ChatGPT can answer complex questions and execute actions using external tools*
- For further reading, Ramakrishnan has also created a guide to how ChatGPT was created.
- The future lies in a symbiotic partnership, and while the AI layer is indeed fascinating, the world of public relations still has every reason to remain human at its foundation.
- Now that the period where every headline claimed that AI would replace the human workforce seems to be dying down a little, I believe it's time to switch our mindsets from combat mode to finding synergy. The argument over AI seems to have developed sides on two ends of the spectrum: The "non-believers" hint at the devastating implications of an "AI Takeover," while the enthusiasts promise that the "AI Era of Utopia" is all set to be ushered in.
- While every industry may vary, I believe that in the world of public relations, the key to maximizing strategies in today’s extremely data-driven market lies in recognizing the value of human expertise enhanced by AI algorithms rather than the two being constantly at war.
- To put it succinctly, public relations practices are set to become something entirely new. AI can help liberate us from menial tasks and automate the mundane. By embracing AI and leveraging its strengths with just the right amount of human expertise, I believe PR professionals can unleash its full potential to deliver more impactful and effective campaigns while maintaining the essential elements that make public relations what it is in the first place.
- A new report indicates that the guardrails for widely used chatbots can be thwarted, leading to an increasingly unpredictable environment for the technology.
- When artificial intelligence companies build online chatbots, like ChatGPT, Claude and Google Bard, they spend months adding guardrails that are supposed to prevent their systems from generating hate speech, disinformation and other toxic material.
- Now there is a way to easily poke holes in those safety systems.
- In a report released on Thursday, researchers at Carnegie Mellon University in Pittsburgh and the Center for A.I. Safety in San Francisco showed how anyone could circumvent A.I. safety measures and use any of the leading chatbots to generate nearly unlimited amounts of harmful information.
- In domains like software development, generative AI's potential to deliver rapid innovation and efficiency is immense. Maintaining trust is going to be critical. By understanding how the core enablers of that trust—architecture, security, responsibility—will vary as deployment approaches mature, we can ensure employees, customers and businesses can all reap value from this exciting technology.
- Generative AI, the technology behind applications like ChatGPT, is taking the world by storm. We've reached a tipping point in the way the public views artificial intelligence.
- Even among professionals working in the field for years, there's a definite sense of "before and after" ChatGPT. A seismic shift has taken place, and nothing will be quite the same.
- Reimagining Software Development. Now, the question is how businesses are going to apply this technology. One of the first areas we're seeing an impact is in the software development lifecycle (SDLC).
- There’s apparently no such thing as talking up your own A.I. investments too much this year. But apparently there can be collateral damage—for your competitors. At least that’s what Jim Cramer, host of CNBC’s “Mad Money,” said.
- There’s apparently no such thing as talking up your own A.I. investments too much this year. But apparently there can be collateral damage—for your competitors. At least that’s what Jim Cramer, host of CNBC’s “Mad Money,” said.
- So far, during this week’s earnings calls, Microsoft wasn’t the only tech company continually referring to A.I. “This is our seventh year as an A.I.-first company, and we intuitively know how to incorporate A.I. into our products,” Alphabet and Google CEO Sundar Pichai said on Tuesday.
- “A.I. is driving results across our monetization tools, through our automated ads products, which we call Meta Advantage,” Meta CEO Mark Zuckerberg said during the company’s earnings call on Wednesday. “Almost all our advertisers are using at least one of our A.I. driven products…Our investments in A.I. continue.”
- Microsoft shares tumbled 3.7% on Wednesday, a day after the software maker issued worse-than-expected quarterly revenue guidance. Many analysts remained optimistic about the company’s prospects, but a few fretted about how recent investments in artificial intelligence won’t immediately come to fruition.
- Growth in AI has the potential to propel Microsoft’s two largest businesses: the Azure public cloud and the more traditional, and market-leading, Office productivity software.
- Even if the clear growth probably won’t show up in 2023, during the call with analysts on Tuesday, Microsoft CEO Satya Nadella said that when it comes to new AI workloads in the cloud, Microsoft is in the lead.
- Right now, cutting edge AIs—for example, large language models like ChatGPT—work best in languages like English, where text and audio data is abundant online. They work much less well in languages like Kannada which, even though it is spoken by millions of people, is scarce on the internet.
- This has created huge demand for datasets—collections of text or voice data—in languages spoken by some of the poorest people in the world. Part of that demand comes from tech companies seeking to build out their AI tools. Another big chunk comes from academia and governments, especially in India, where English and Hindi have long held outsize precedence in a nation of some 1.4 billion people with 22 official languages and at least 780 more indigenous ones. This rising demand means that hundreds of millions of Indians are suddenly in control of a scarce and newly-valuable asset: their mother tongue.
- Just as India was able to leapfrog the rest of the world on 4G because it was unencumbered by existing mobile data infrastructure, the hope is that efforts like the ones Karya is enabling will help Indian-language AI projects learn from the mistakes of English AIs and begin from a far more reliable and unbiased starting point.
- Life sciences anticipates huge opportunities as AI helps boost targeted drug discovery, personalized health care, and more efficient production
- The pharmaceutical industry operates under one of the highest failure rates of any business sector. The success rate for drug candidates entering capital Phase 1 trials—the earliest type of clinical testing, which can take 6 to 7 years—is anywhere between 9% and 12%, depending on the year, with costs to bring a drug from discovery to market ranging from $1.5 billion to $2.5 billion, according to Science.
- This skewed balance sheet drives the pharmaceutical industry’s search for machine learning (ML) and AI solutions.
Meta, the parent company of Facebook, has reported a return to sales growth after three quarters of declines, sending its shares up 12%1. The company attributes this success to its focus on artificial intelligence (AI), which has helped boost traffic to its sites and increase ad sales2. CEO Mark Zuckerberg has announced plans to double down on this strategy, stating that the company now has the capacity to do leading work in AI at scale2. He also reiterated his commitment to investing in the metaverse-oriented Reality Labs unit2. This news is a positive sign for Meta, which faced a difficult 2022 due to a pandemic-era e-commerce slump, competition from rivals like TikTok, and changes to Apple’s privacy framework2.
Extra-condensed knowledge
- OpenEvidence, which is valued at $425 million, is taking on one of AI’s big engineering challenges: large language models whose training is stuck in the past.
- One of the limitations of large language models is that their training is frozen in time. If you ask OpenAI’s viral chatbot ChatGPT if Covid vaccines work against the most common variant circulating in 2023, it responds: “As an AI language model, I don't have access to real-time data or information beyond my last update in September 2021.”
- Constantly retraining machine learning models requires huge amounts of costly computing power, but there is another option. It’s a technical and engineering challenge that involves “marrying these language models with a real-time firehose of clinical documents,” says OpenEvidence founder Nadler, 40. Essentially, granting the AI access to a new pool of data right before it goes to answer the question – a process computer scientists call “retrieval augmented generation.”
- Chatbots are already working in restaurants across the U.S. Our columnist put in about 30 orders at a Hardee’s.
- The American drive-through is one of the best places to understand the impact of artificial intelligence on our lives and jobs. As the fast-food industry has struggled with all-time high labor shortages, AI has stepped up.
- White Castle, Carl’s Jr., Hardee’s, Del Taco, Checkers and others have all begun employing friendly chatbots that greet you via the drive-through speaker and take your order. If all goes to plan, you won’t see or speak to a human until you’re handed your fry-filled bag and water-tower-sized drink.
- “In three years I don’t think there’s going to be any human taking an order in any drive-through in the U.S.,” said Krishna Gupta, chief executive of Presto, a provider of the technology at nearly 350 restaurants across the country, including Hardee’s and Del Taco.
- Amazon Web Services is unveiling AI services for doctors, business analysis and chatbots as it aims for Microsoft and Google
- Amazon.com Inc.’s cloud unit, determined to take on Microsoft and Google in the burgeoning market for generative artificial intelligence, has unveiled a range of new AI products, including a service that helps health care providers summarize doctor visits and software that let companies create their own chatbots.
- Companies are rushing to integrate generative AI into their businesses and automate a range of tasks currently handled by people. Microsoft Corp. and Alphabet Inc.’s Google are both using the technology to revamp web search and add AI capabilities to a host of products. AWS, seen in some quarters as lagging behind its two smaller cloud rivals in generative AI, is trying to sell clients on its services and persuade them to run their own custom-built AI apps on AWS.
- Meta is giving its answer to OpenAI’s GPT-4 away for free. The move could intensify the generative AI boom by making it easier for entrepreneurs to build powerful new AI systems.
- Just like ChatGPT, Google’s Bard, and other generative AI models released recently, Llama 2 likely cost millions to create. But only Meta’s system is available for free to developers, startups, and others interested in creating custom variations of the model. By supplying a cheaper option, Meta’s Llama 2 makes it easier for small companies or lone coders to create new products and services, potentially accelerating the current AI boom.
- Meta isn’t offering up Llama 2 alone. It has support with some major partners that are already making the model available to their customers, including AI startups Hugging Face, Databricks, and OctoML.
- Lighthouses are one of humanity’s most enchanting inventions — although they’ve been obsoleted as important seafaring navigation guides by boats equipped with global positioning system (GPS) receivers — remaining lighthouses still attract tourists, history buffs, photographers and other people seeking to connect with the past.
- AI Lighthouse, on the other hand, seeks to illuminate the future for enterprises. The new software and consulting service offering unveiled today by low-code enterprise automation giant ServiceNow, in conjunction with partners Nvidia and Accenture, is designed to allow ServiceNow customers to quickly and securely adopt new generative AI tools — so they don’t get swept out to sea amid the wave of new products, services and investments.
- Tech giants Microsoft and Google have boosted by their investments in artificial intelligence - and they're already seeing the payoff. Both companies earned millions more dollars than expected in the second quarter of this year - and that could just be the beginning. As one expert tells DW, the global economy could grow by 15 percent thanks to this promising technology. But questions remain about its safety.
- Intel CEO Pat Gelsinger was very bullish on AI during the company’s Q2 2023 earnings call — telling investors that Intel plans to “build AI into every product that we build.”
- Gelsinger often likes to talk up the “four superpowers” or “five superpowers” of technology companies, which originally included both AI and cloud, but today, he’s suggesting that AI and cloud don’t necessarily go hand in hand.
- OpenAI’s ChatGPT may have captured the AI zeitgeist last fall, but it was DeepMind’s AlphaFold AI that shook the science world last summer.
- A year ago, on July 28, 2022, the Alphabet-owned company announced that AlphaFold had predicted the structures for nearly all proteins known to science and dramatically increased the potential to understand biology — and, in turn, accelerate drug discovery and cure diseases. That built on its groundbreaking work from a year earlier, when DeepMind open-sourced the AlphaFold system that had mapped 98.5% of the proteins used in the human body.
- Today, DeepMind (now Google DeepMind) says the AlphaFold Protein Structure Database has been used by over 1.2 million researchers in over 190 countries, and that adoption rates of AlphaFold are growing fast in all domains.
- The U.S. Government is considering new export controls on semiconductors made by U.S. companies, especially chips from NVIDIA used in training AI models and running data centers. I was recently interviewed on CNBC—not once, but twice—about the potential damaging impacts of these restrictions, if indeed the Biden administration goes through with them.
- I think the proposed tighter export controls speak to generalized anxiety about AI mixed with generalized anxiety about China as the major rival for the U.S. These are weighty topics that deserve well-reasoned consideration. But restricting Nvidia from China isn’t going to make the U.S. safer or more competitive in the long run.
- Venture capital investors have been clamoring to get in on artificial intelligence deals for months, and many of the biggest, priciest bets have been on so-called “foundation model” companies, like OpenAI and Anthropic. But that’s not where some of the best opportunities could be moving forward.
- For Seth Rosenberg, an investor at VC firm Greylock Partners, there’s one underrated area that he’s eyeing for A.I. investments. “People talk about, ‘Is the best opportunity for A.I. in startups or incumbents?’ I think there’s opportunities in both, but I think there’s a third category that’s maybe a little bit overlooked, which is companies that are maybe one to two years old, that have an amazing product or some amazing value that can be significantly accelerated with A.I.,” he told me.
Condensed knowledge
- A generation of developers has grown up relying on Stack Overflow‘s community approach to answering technical questions and getting a mix of responses.
- That model is getting disrupted today with the announcement of an impressive list of generative AI capabilities on both the public Stack Overflow site as well as its enterprise offering Stack Overflow for Teams. The new Overload AI offerings come on the heels of the company’s annual developer survey that revealed that the majority of developers want to use AI tools but only 40% actually trust AI.
- At the moment, Hollywood’s labor unions for writers and actors, the WGA and SAG-AFTRA, are on strike, and streaming residuals are one of the main deal points being negotiated. I’m a proud member of both of these unions, and I strongly support their demands. But zooming out, so to speak, I think there’s a larger conversation to be had about residuals that goes well beyond Hollywood.
- AI is going to change things faster and harder than our intuition can predict. Will those changes be for the better or worse? I believe we still have a real shot at a world in which our careers are both more productive and more meaningful, and in which our compensation is both more honorable and more equitable than any we’ve ever known. But that kind of bright future won’t arrive automatically. As always, it’ll be us doing the work.
23. Fortune Fact. Generative A.I. will upend the workforce, McKinsey says, forcing 12 million job switches and automating away 30% of hours worked in the U.S. economy by 2030
- A comprehensive new report from consulting giant McKinsey tries to quantify these impending changes by examining how the mix of jobs might change over time. Crucially, McKinsey’s research reaches a point of view that has been uncommon so far in the discourse—that A.I. will not wipe out jobs in the long term. Even though the research in question “cannot definitively rule out job losses, at least in the short term.” The sectors most exposed to generative A.I. could still add jobs through 2030 but at a slower pace than previously anticipated, the report concludes.
- Four of the most influential companies in artificial intelligence have announced the formation of an industry body to oversee safe development of the most advanced models.
- The Frontier Model Forum has been formed by the ChatGPT developer OpenAI, Anthropic, Microsoft and Google, the owner of the UK-based DeepMind.
- The group said it would focus on the “safe and responsible” development of frontier AI models, referring to AI technology even more advanced than the examples available currently.
- One of the best places to see how artificial intelligence is affecting our lives and jobs may be at a fast-food drive-through. WSJ senior personal tech columnist Joanna Stern ordered from an AI-powered drive-though around 30 times to find out more. She joins host Zoe Thomas to explain what she learned. Plus, the Securities and Exchange Commission votes to propose new guardrails on trading apps.
- Researchers bypassed the safety guardrails for ChatGPT, Bard, and Claude with a series of adversarial attacks.
- Researchers at Carnegie Mellon University and the Center for AI Safety teamed up to find vulnerabilities in AI chatbots like ChatGPT, Google Bard, and Claude -- and they succeeded.
- In a research paper to examine the vulnerability of large language models (LLMs) to automated adversarial attacks, the authors demonstrated that even if a model is said to be resistant to attacks, it can still be tricked into bypassing content filters and providing harmful information, misinformation, and hate speech. This makes these models vulnerable, potentially leading to the misuse of AI.
- This week, a gallery in the northern English city of Bradford put on display what it says artificial intelligence has identified as a work by the Italian Renaissance painter often mentioned alongside Michelangelo and Leonardo da Vinci. Researchers hope their experimental use of AI will put to rest a decades-long debate about the origins of the painting, known as the de Brécy Tondo, allowing it acceptance alongside Raphael works hanging in cities better known for their art halls.
- Acoustic tracking technology could feed into conservation projects in the Amazon and beyond.
- Researchers have used artificial intelligence (AI) to map the movements of two endangered species of dolphin in the Amazon River by training a neural network to recognize the animals’ unique clicks and whistles.
- The findings, published in Scientific Reports on 27 July, could lead to better conservation strategies by helping researchers to build an accurate picture of the dolphins’ movements across a vast area of rainforest that becomes submerged each year after the rainy season.
- Hollywood screenwriter Michelle Amor says she is fearful about the impact of artificial intelligence (AI) on her livelihood. "I don't want to be replaced with something artificial".
- Ms Amor and fellow US television and film writers have now been on strike since the start of May.
- Thanks to the power of AI imaging, you can completely reimagine your space without paying a designer.
- Redecorating your living space just got a little easier thanks to an AI-assist from Wayfair.
- The home furniture and decor company has released a new tool called Decorify, which lets users upload images of their rooms and then uses generative AI to transform the space with a number of different styles, including industrial, Bohemian, farmhouse, modern mid-century, rustic, glam, and perfectly pink. From light fixtures to furniture to rugs to photos on the wall, just about everything in the space is up for change.
g-f(2)1230: The Juice of Golden Knowledge
Some relevant characteristics of this "genioux Fact"
- BREAKING KNOWLEDGE
- Category 2: The Big Picture of the Digital Age
- The Lighthouse of the Big Picture of the Digital Age
- The "Positive Disruption: AI Revolution" has accelerated
- The internal title
- g-f(2)1230 THE BIG PICTURE OF THE DIGITAL AGE, geniouxfacts, g-f Fishing, AI Revolution, 7/27/2023, 6:05 AM
- [genioux fact deduced or extracted from geniouxfacts + Multiple sources + Bing Chatbot + Bard]
- This is a “genioux fact fast solution.”
- Tag "GkPath" highway
- GKPath is the highway where there is no speed limit to grow.
- GkPath is paved with blocks of GK.
- "genioux facts", the online program on "MASTERING THE BIG PICTURE OF THE DIGITAL AGE”, builds The Golden Knowledge Path (GKPath) digital freeway to accelerate everyone's success in the digital age.
- Type of essential knowledge of this “genioux fact”: Essential Analyzed Knowledge (EAK).
- Type of validity of the "genioux fact".
- Inherited from sources + Supported by the knowledge of one or more experts.
- Authors of the genioux fact