Category Archives: Artificial General Intelligence
Satya Nadellas Oprah Moment: Microsoft CEO says he wants everyone to have an AI assistant – Firstpost
Like most companies that are referee to Big Tech collectively, Microsoft is betting big on AI, hoping that people will adopt the up-and-coming tech in a variety of ways.
Enthused with the adoption of AI so far, especially ChatGPT, Microsoft CEO Satya Nadella made a bold and sweeping statement that he wants everyone to have their own AI assistant.
ChatGPT the new companionIn November 2022, the introduction of ChatGPT created a major buzz in the tech industry, as well as the world. Shortly after its launch, conversations about this popular AI chatbot became widespread, as people discovered innovative ways to utilize its capabilities. Whether seeking help with crafting romantic poetry or seeking guidance on financial matters and entrepreneurial ventures, many individuals have benefited from the assistance of ChatGPT.
As a result, Nadella envisions a future where AI plays a role in assisting every person on the planet, reflecting his ambitious aspirations.
Nadellas take on the future of AIDuring an interview with Wired, Satya Nadella shared his vision of a future where every individual on Earth, all 8 billion people, would have access to an AI tutor, an AI doctor, a programmer, and potentially even a consultant. He expressed his desire for AI to be widely available as assistants and used to help people with their daily lives.
When asked about his thoughts on humans reaching the AGI superintelligence milestone, Nadella responded by emphasizing his focus on the positive aspects of AI rather than worrying about AGI. He expressed a personal connection to the issue, mentioning that the industrial revolution had a delayed impact on the regions where he grew up.
Nadellas aspiration is to find something even more transformative than the industrial revolution, something that can bring about widespread advancements and prosperity for all individuals worldwide. He explained that he is not concerned about the arrival or rapid development of AGI, as he believes it would lead to abundance for all, creating a truly remarkable world to live in.
For the unversed, AGI, or Artificial General Intelligence, is a concept that refers to machines possessing the ability to comprehend the world to a similar extent as humans and autonomously make decisions. OpenAI CEO Sam Altman has consistently emphasized the need for caution in AI usage, highlighting the rapid advancement of the technology and the necessity for regulations.
On Microsoft partnering up with OpenAIMicrosoft, which had previously invested in the parent company of ChatGPT, OpenAI, announced in January of this year that the two companies are further strengthening their partnership through a multiyear, multibillion-dollar investment. Microsoft has also dedicated a supercomputer to OpenAI, which allows them to carry out complex tasks such as training their LLM.
Nadella said, We formed our partnership with OpenAI around a shared ambition to responsibly advance cutting-edge AI research and democratize AI as a new technology platform. In this next phase of our partnership, developers and organizations across industries will have access to the best AI infrastructure, models, and toolchain with Azure to build and run their applications.
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5 things you should know about investing in artificial intelligence … – The Motley Fool Australia
What do you think about artificial intelligence (AI)?
The technology is the hot talking point at the moment after the spectacular rise of generative engine ChatGPT.
But for stock investors, is AI just a fad or a fair dinkum theme that they need to pay attention to?
Montaka chief investment officer Andrew Macken had some thoughts:
Although the tech isnt quite there yet, eventually the real value of AI will be its general problem-solving capabilities.
AI will likely represent something like a skeleton key that will unlock the solutions to the worlds scientific, medical, and engineering problems, Macken said on the Montaka blog.
This is why some experts much smarter than myself believe that solving artificial general intelligence (AGI) that is, building a model, or collection of models, that are general problem solvers will be the last problem that humans ever solve.
Macken has no doubt AI will unambiguously increase the productivity of humans.
Already, tools around content generation whether in text, images, or code, such as transcription and translation, just to name a few obvious ones are drastically reducing the time and cost associated with many tasks.
As for AIs impact on the economy, inequality might impede potential gains.
In the hypothetical extreme (just as a thought experiment), if [labour] is essentially no longer needed for most professional tasks, then we end up with most of us being unemployed with no source of income, said Macken.
And the bulk of the economic spoils of this new economy will accrue to a small number of companies which own the AI models.
Economic inequality is a headwind for consumption growth, thus economic growth, and, by extension, earnings growth for ASX companies.
While most people spend the majority of their earnings on goods and services which keeps the economy growing, the wealthy few simply cant spend enough of their wealth especially as it expands.
This is why an idea thats been previously consigned as too radical could re-enter public discussions.
Many experts who have been thinking about this future scenario for a long time believe that societies will need to adopt some kind of Universal Basic Income (UBI) over time, said Macken.
Such an idea may sound really strange at first, but empirical studies are showing lots of counterintuitive benefits around greater risk-taking and entrepreneurship.
Could AI push some stocks into the stratosphere, as the internet did 25 years ago?
Macken reckons theres absolutely potential for that, but it will probably look and feel a bit different to the late 1990s.
So, today, for example, we see some AI-related stocks that look overvalued due to the hype, he said.
And we see lots of business[es] in nearly every industry that are going to be impacted by AI in a meaningful way. Some positively and some negatively.
Thus it could be a polarising effect. Not a pure boom because some companies and sectors will go bust.
Our sense is that this transformation is going to split winners and losers in a much more definitive way than the dot-com boom did 25 years ago.
Which are the stocks and sectors that could be punished by the rise of artificial intelligence?
According to Macken, one big group of losers will be businesses that make their living from charging a lot of money for services that can now be performed by AI models at negligible costs.
Last month, for example, a business in the US called Chegg Inc (NYSE: CHGG), an online educational platform that assists students with their homework, told investors they now believed ChatGPT was having an impact on new customer growth and not in a positive way, he said.
The stock basically halved in a day. There will probably be a lot more of these situations over time.
Then there are companies that are too slow, or even stubbornly refuse, to adapt to new intelligence tools.
One way to think about it is something like this: if my competitors can all deliver the same product at a greatly reduced cost thanks to AI-based applications, then I had better reduce my costs too, or else the inevitable price deflation thats coming will wipe out my profits.
While no one would recommend leaving investment decisions to artificial intelligence just yet, there are ways to deploy the tool to assist your stock picking.
Macken breaks down the investment process into two distinct phases: production and insight crystallisation.
Production is the research all the required reading, writing, and analysing of potential ASX shares to buy.
Insight crystallisation is all about thinking deeply and creatively about implications, calculating the likelihood of different outcomes and then deciding on high-probability perceptions that could be investment opportunities.
Right now, AI can assist investors in performing the production phase.
It will allow investors to go much wider and deeper in a much shorter amount of time, said Macken.
My recommendation would be to go wider and deeper, for sure, but also reinvest some of those time savings in more insight crystallisation. Ultimately, I believe this is where the value-add will remain for human investors for the foreseeable future.
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5 things you should know about investing in artificial intelligence ... - The Motley Fool Australia
What we lose when we work with a giant AI like ChatGPT – The Hindu
Recently, ChatGPT and its ilk of giant artificial intelligences (Bard, Chinchilla, PaLM, LaMDA, et al.), or gAIs, have been making several headlines.
ChatGPT is a large language model (LLM). This is a type of (transformer-based) neural network that is great at predicting the next word in a sequence of words. ChatGPT uses GPT4 a model trained on a large amount of text on the internet, which its maker OpenAI could scrape and could justify as being safe and clean to train on. GPT4 has one trillion parameters now being applied in the service of, per the OpenAI website, ensuring the creation of artificial general intelligence that serves all of humanity.
Yet gAIs leave no room for democratic input: they are designed from the top-down, with the premise that the model will acquire the smaller details on its own. There are many use-cases intended for these systems, including legal services, teaching students, generating policy suggestions and even providing scientific insights. gAIs are thus intended to be a tool that automates what has so far been assumed to be impossible to automate: knowledge-work.
In his 1998 book Seeing Like a State, Yale University professor James C. Scott delves into the dynamics of nation-state power, both democratic and non-democratic, and its consequences for society. States seek to improve the lives of their citizens, but when they design policies from the top-down, they often reduce the richness and complexity of human experience to that which is quantifiable.
The current driving philosophy of states is, according to Prof. Scott, high modernism a faith in order and measurable progress. He argues that this ideology, which falsely claims to have scientific foundations, often ignores local knowledge and lived experience, leading to disastrous consequences. He cites the example of monocrop plantations, in contrast to multi-crop plantations, to show how top-down planning can fail to account for regional diversity in agriculture.
The consequence of that failure is the destruction of soil and livelihoods in the long-term. This is the same risk now facing knowledge-work in the face of gAIs.
Why is high modernism a problem when designing AI? Wouldnt it be great to have a one-stop shop, an Amazon for our intellectual needs? As it happens, Amazon offers a clear example of the problems resulting from a lack of diverse options. Such a business model yields only increased standardisation and not sustainability or craft, and consequently everyone has the same cheap, cookie-cutter products, while the local small-town shops die a slow death by a thousand clicks.
Like the death of local stores, the rise of gAIs could lead to the loss of languages, which will hurt the diversity of our very thoughts. The risk of such language loss is due to the bias induced by models trained only on the languages that already populate the Internet, which is a lot of English (~60%). There are other ways in which a model is likely to be biased, including on religion (more websites preach Christianity than they do other religions, e.g.), sex and race.
At the same time, LLMs are unreasonably effective at providing intelligible responses. Science-fiction author Ted Chiang suggests that this is true because ChatGPT is a blurry JPEG of the internet, but a more apt analogy might be that of an atlas.
An atlas is a great way of seeing the whole world in snapshots. However, an atlas lacks multi-dimensionality. For example, I asked ChatGPT why it is a bad idea to plant eucalyptus trees in the West Medinipur district. It gave me several reasons why monoculture plantations are bad but failed to supply the real reason people in the area opposed it: a monoculture plantation reduced the food they could gather.
That kind of local knowledge only comes from experience. We can call that knowledge of the territory. This knowledge is abstracted away by gAIs in favour of the atlas view of all that is present on the internet. The territory can only be captured by the people doing the tasks that gAIs are trying to replace.
A part of the failure to capture the territory is demonstrated in gAIs lack of understanding. If you are careful about what you ask them for (a feat called prompt engineering an example of a technology warping the ecology of our behaviour), they can fashion impressive answers. But ask it the same question in a slightly different way and you can get complete rubbish. This trend has prompted computer scientists to call these systems stochastic parrots that is, systems that can mimic language but are random in their behaviour.
Positive research directions exist as well. For example, BLOOM is an open-source LLM developed by scientists with public money and with extensive filtering of the training data. This model is also multilingual, including 10 Indian languages, plus an active ethics team that regularly updates the licence for use.
There are multiple ways to thwart the risks posed by gAIs. One is to artificially slow the rate of progress in AI commercialisation to allow time for democratic inputs. (Tens of thousands of researchers have already signed a petition to this effect).
Another is to ensure there are diverse models being developed. Diversity here implies multiple solutions to the same question, like independent cartographers preparing different atlases with different incentives: some will focus on the flora while others on the fauna. The research on diversity suggests that the more time passes before reaching a common solution, the better the outcome. And a better outcome is critical when dealing with the stakes involved in artificial general intelligence an area of study in which a third of researchers believe it can lead to a nuclear-level catastrophe.
Just to be clear, I wrote this article, not ChatGPT. But I wanted to check what it would say
Q: Write a response to the preceding text as ChatGPT.
A: As ChatGPT, Im a tool meant to assist and augment human capabilities, not replace them; my goal is to understand and respond to your prompts, not to replace the richness and diversity of human knowledge and experience.
Yet as the writer George Zarkadakis put it, Every augmentation is also an amputation. ChatGPT & co. may assist and augment but at the same time, they reduce the diversity of thoughts, solutions, and knowledge, and they currently do so without the inputs of the people meant to use them.
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What we lose when we work with a giant AI like ChatGPT - The Hindu
Artificial general intelligence in the wrong hands could do ‘really dangerous stuff,’ experts warn – Fox News
Artificial general intelligence the kind of AI that has capabilities similar to humans may be far off and offer new opportunities, but experts warn it could be potentially dangerous, and have drastic implications for white-collar workers.
"Im about as excited about AGI as I am about nuclear fission," Diveplane CEO Dr. Michael Capps told Fox News Digital. "Its really amazing what we can do with it, it can power our society, but in the wrong hands, it can do some really dangerous stuff."
While there is no one definition of AGI, a 2020 report from consulting giant McKinsey said such a machine would need to master human-like skills, such as fine motor skills and natural language processing. Some have argued that recent developments in AI, such as OpenAIs GPT4, reach nearly the level of AGI, while others say the technology is decades away.
WHAT IS AGI? THE ARTIFICIAL INTELLIGENCE THAT CAN DO IT ALL
Artificial General Intelligence is generally defined as a kind of AI with capabilities similar to that of humans. (JOSEP LAGO/AFP via Getty Images)
Capps compared AGIs to nuclear materials, noting that there are still unknown risks associated with AI, and in the wrong hands, it can do drastic damage.
"[W]e also did some really stupid things with radioactive materials," Capps said. "Early on, we put them in kids toys, and chemistry sets and clocks, because we had no idea what the dangers were."
"And imagine everybody has an AGI, or a hostile country like North Korea has a really strong AGI, and theyre not regulating it, and we are being very careful. Well, it really changes the whole dynamic of society," Capps added.
On another level, AGI could drastically, and negatively, impact white-collar workers, Christopher Alexander, the chief communications officer of Liberty Blockchain, told Fox News Digital.
WHAT IS BLACK BOX AI? EXPERTS EXPLAIN THE HIDDEN DECISION-MAKING OF ARTIFICIAL INTELLIGENCE MACHINES
AGI, in the wrong hands, could have drastic consequences, warned Diveplane CEO Michael Capps. (REUTERS/Dado Ruvic/Illustration)
"In certain industries, its going to be a problem," Alexander said, pointing to low-level white-collar workers, whose jobs may be automated due to advanced artificial intelligence.
FAKE PENTAGON EXPLOSION IMAGE GOES VIRAL ON TWITTER, SPARKING FURTHER AI CONCERNS
Despite these challenges, Alexander said "new opportunities" would be created because of advanced AI technologies.
But, even with these new opportunities, Alexander said there would be an "ugly gap" between AI automating certain jobs and when they are replaced with new opportunities.
"I do worry about that transition period," he said.
New developments in artificial intelligence, such as OpenAI's ChatGPT, have led to questions about the technology's future and safety. (Bloomberg via Getty Images)
And while recent developments in artificial intelligence have thrust it to the forefront of public discord, both Capps and Alexander said current AI technologies do not reach the level of AGI, which may be decades off.
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"I think the neat thing is, no one knows," Capps said. "The average AI scientist probably thinks were 20, 15 years away. But once it happens, its going to be really fast."
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16 Jobs That Will Disappear in the Future Due to AI – Yahoo Finance
In this article, we will take a look at the 16 jobs that will disappear in the future due to AI. To see more such jobs, go directly to 5 Jobs That Will Disappear in the Future Due to AI.
By now you must have heard or read about how AI-powered bots are coming for millions of jobs. Whether or not they will make all of us redundant and how our collective future would be shaped by this development is a separate debate. But its important to note that companies have already started using AI technologies to assist, and in some cases replace, humans. Take multinational home repair services company HomeServe, for example. The company recently deployed AI-powered bot named Charlie at its call center. According to a detailed report by the Wall Street Journal, the assistant takes a whopping 11,400 calls a day, which is impossible for any human. The AI agent also assists human staff in their daily work, schedules repair appointments, processes claims, among a plethora of other tasks.
Call centers is just one area where AI has arrived to make a difference. Earlier this year a report by Goldman Sachs made a lot of rounds in the media. The report said that automation could affect about 300 million full-time jobs in the US. The threat of AI taking over human jobs jumped exponentially after companies like Amazon.com, Inc. (NASDAQ:AMZN), Alphabet Inc Class A (NASDAQ:GOOGL) and Microsoft Corp (NASDAQ:MSFT) started to aggressively roll out AI applications.
While the fear about AI taking away jobs isnt unfounded, its vastly blown out of proportion due to lack of historical context. A research paper titled Why Are There Still So Many Jobs? by David H. Autor shares some interesting insights into how human history has always seen jobs come and go. Humans over the course of history have shown a dramatic capability of adaptation or evolution. Consider the fact that 41% of workforce in the US was employed in the agriculture sector in 1900. That percentage fell to just 2% by 2000. This massive change was ushered in by automated machinery in the agriculture sector. What happened to these millions of workers? They didnt starve to death, but evolved and probably thrived thanks to the new kinds of jobs created in the aftermath of the technological revolution.
Story continues
Another important data point shared in the research paper shows how automation creates new jobs and actually ends up increasing the productivity of humans, benefitting everyone. The research says that ATM machines were first launched in the 1970s and their numbers in the US economy quadrupled from approximately 100,000 to 400,000 between 1995 and 2010. And what happened to human bank tellers? They actually rose from 500,000 to approximately 550,000 over the 30-year period from 1980 to 2010. Population increase was one of the reasons behind this growth but the most important thing to note here is that after the automation of cash handling, banks started to use bank teller staff in other, more important banking tasks (like customer relationship management).
The Goldman Sachs report we talked about earlier in the article also cited the research paper by Autor and says that AI could end up creating new jobs and opportunities.
In addition, jobs displaced by automation have historically been offset by the creation of new jobs, and the emergence of new occupations following technological innovations accounts for the vast majority of long-run employment growth, according to the report. For example, information-technology innovations introduced new occupations such as webpage designers, software developers and digital marketing professionals. There were also follow-on effects of that job creation, as the boost to aggregate income indirectly drove demand for service sector workers in industries like healthcare, education and food services. "
A research paper titled Demography as a Driver of Robonomics by Robonomics sums up its study in a paragraph that sounds eerily accurate and unsettling:
The demographic changes are a driver for how governments, industry, and the ci tizenry will have to convert into a more robotized economy. A shortage of humans means that people will have to be replaced with technology, indeed research shows that middle -aged workers are already being replaced by robots in the USA. While there will be winners and losers from this transition, there will be externalities within countries and a change in international relations. The transition to a robonomic society will not be without turbulence, so humanity (and our robots) will have to be brave or at least be programmed to appear brave for the new world we are entering into. May the robotic force be with us all!
Our Methodology
For this article we consulted several research papers, scholarly articles, reliable internet articles and book summaries to shortlist the jobs that face the threat of extinction over the next five to ten years due to AI. These research papers include GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models by OpenAI and University of Pennsylvania, Sparks of Artificial General Intelligence: Early experiments with GPT-4 by Microsoft Research, Goldman Sachs March 2023 report titled The Potentially Large Effects of Artificial Intelligence on Economic Growth, The Future of Employment paper by Oxford Martin School, a research paper titled How will Language Modelers like ChatGPT Affect Occupations and Industries? by researchers from University of Pennsylvania, New York University and Princeton, among other academic papers. We also consulted the website Will Robots Take My Job? The rationale behind consulting a wide range of sources was to expand our methodology and reach a consensus opinion-based ranking, minimizing biases that come with relying on a single source.
ChatGPT is already being used to make plugins and micro-services based on user requirements and input. Its not hard to believe that fifty years down the road a user would be able to just tell their AI assistant about a website they want to be made for their business and AI would make it for them in just a few minutes (or seconds?). AI-based software would also be able to perform data analysis tasks, making data analysts redundant. Technologies offered by Amazon.com, Inc. (NASDAQ:AMZN), Alphabet Inc Class A (NASDAQ:GOOGL) and Microsoft Corp (NASDAQ:MSFT) will play a key role in this development.
By now its clear to anyone whos used ChatGPT that its a great tool for basic writing tasks and proofreading. Writing tasks that do not involve any deep research, human perspective or in-depth analysis could easily be taken away by AI in the years to come.
Several online demos have shown that ChatGPT does a far better job at translation when compared to Google Translate. As companies race to improve their language models and train their systems on foreign languages, the requirement for entry-level translators will decline.
Tools like DALL.E and MidJourney are already causing a lot of layoffs in the graphic design industry since businesses can simply give input to these AI tools and make basic graphics and logos.
Thousands of fast food restaurants around the world are already using automated machines to take customer orders. But the need for human interaction is really felt in drive-thrus, where the customer thinks, talks, and explains their orders (and sometimes makes a lot of changes). But large language models have enabled companies to start thinking of bringing AI to the drive-thru as well. Wendys recently revealed plans to launch AI-powered drive-thrus where bots will take customer orders. The company plans to launch the service at its locations in Columbus, Ohio. The companys chief executive Todd Penegor reportedly said:
You wont know youre talking to anybody but an employee.
Basic accounting, bookkeeping and payroll processing usually involve some straightforward processes based on user input. Thats why a lot of research papers and studies we read during our research assign a higher risk to accounting jobs when it comes to AI.
Millions of people receive their packages on time daily due to postal service clerks. They are the ones who make sure packages are entered in the system with correct stamps and addresses, in addition to taking money orders, helping customers fill out forms, placing mail in the correct pigeon holes of mail racks or in bags, among many other tasks. But several sources we read for our research, including the research paper by researchers at Princeton and University of Pennsylvania, believe postal service clerk roles could be automated in the future.
Companies are already using AI-powered systems that fetch, process, enter, format and communicate data based on user requirements. Data entry clerks were already facing redundancy throughout the world due to advanced web scraping technologies and python-based data processing scripts.
Bank tellers perform basic and important tasks like verifying a customers identity and financial information before processing transactions, cashing checks, collecting loan payments, etc. Almost all the reliable resources we consulted during our research believe bank teller roles have a 100% chance of disappearing in the future because of AI. But seeing bank tellers on this list should not be a surprise to anyone. Several banks started using automated tellers long before ChatGPT. In 2017, the Bureau of Labor Statistics had forecasted that teller jobs would decline around 8 percent through 2026.
Scheduling meetings, preparing documents, searching documents, applying basic excel formulas to retrieve data, booking flights and hotels, calling/messaging for important questions and follow-ups. These are some of the tasks performed by administrative support staff and many of these could easily be performed by AI. In fact a lot of companies have already started using ChatGPT for scheduling, taking meeting notes, booking appointments, etc.
Theres a lot more to law industry than just the lawyers who are standing in the courtroom indulged in deep arguments. Several research papers and studies believe jobs in the legal industry are facing a high risk of redundancy due to AI. Consider what a legal assistant does. They manually search tons of legal documents to find an answer, make appointments, perform client coordination and general admin tasks. All of this could easily be automated.
As AI technologies offered by companies like Amazon.com, Inc. (NASDAQ:AMZN), Alphabet Inc Class A (NASDAQ:GOOGL) and Microsoft Corp (NASDAQ:MSFT) improve, more and more jobs will face increased exposure to automation.
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Disclosure: None. 16 Jobs That Will Disappear in the Future Due to AI is originally published on Insider Monkey.
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16 Jobs That Will Disappear in the Future Due to AI - Yahoo Finance
Israel aims to be ‘AI superpower’, advance autonomous warfare – Reuters.com
[1/2] Employees, mostly veterans of military computing units, use keyboards as they work at a cyber hotline facility at Israel's Computer Emergency Response Centre (CERT) in Beersheba, southern Israel February 14, 2019. Picture taken February 14, 2019. REUTERS/Amir Cohen
JERUSALEM, May 22 (Reuters) - Israel aims to parlay its technological prowess to become an artificial intelligence "superpower", the Defence Ministry director-general said on Monday, predicting advances in autonomous warfare and streamlined combat decision-making.
Steps to harness rapid AI evolutions include the formation of a dedicated organisation for military robotics in the ministry, and a record-high budget for related research and development this year, retired army general Eyal Zamir said.
"There are those who see AI as the next revolution in changing the face of warfare in the battlefield," Zamir told the Herzliya Conference, an annual international security forum.
He named GPT (Generative Pre-trained Transformer) and AGI (Artificial General Intelligence) as deep-learning realms being addressed by civilian AI industries which could eventually have military applications.
These, Zamir said, potentially include "the ability of platforms to strike in swarms, or of combat systems to operate independently, of data fusion and of assistance in fast decision-making, on a scale greater than we have ever seen".
The ministry declined to provide figures on AI funding.
The Israeli military has lifted the veil on some of autonmous systems already deployed. In 2021, it said robot surveillance jeeps would help patrol the Gaza Strip border.
This month, state-owned Israel Aerospace Industries unveiled an autonmous intelligence-gathering submarine which, it said, had already completed "thousands of hours" of operations.
Eyal credited Israel's achievements in cyber warfare - widely believed to have been used against Iranian nuclear facilities - to "a correct and timely discerning of the defence, economic, national and international dimensions".
Similary, he said, "our mission is to turn the State of Israel into an AI superpower and to be at the head of a very limited number of world powers that are in this club".
(This story has been refiled to fix a typo in paragraph 4)
Writing by Dan Williams, Editing by William Maclean
Our Standards: The Thomson Reuters Trust Principles.
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Israel aims to be 'AI superpower', advance autonomous warfare - Reuters.com
Retail and Hospitality AI Revolution Forecast Model Report 2023 … – GlobeNewswire
Dublin, May 24, 2023 (GLOBE NEWSWIRE) -- The "Retail's AI Revolution Forecast Model" report has been added to ResearchAndMarkets.com's offering.
The Retail AI Forecast Model is a forecast model for the impact of Traditional AI/ML, Generative AI, and Artificial General Intelligence for the Retail and Hospitality markets from 2022 - 2029. We forecast the economic impact in great detail, including the following breakouts:
Model for Pivot Tables
AI Type by Segment - looks at the forecast by segment by region for Traditional AI/ML, Generative AI, and Artificial General Intelligence from 2022-2029 via the Income Statement Categories of Sales Impact, Gross Margin Impact, and Sales & General Administrative Impact.
Segments included are the following:
Charts by AI Type
Along with the data, there are many charts that look at the economic benefits/impact by year for each of the following:
Region charts
Tiers
For more information about this report visit https://www.researchandmarkets.com/r/8c3dg6
About ResearchAndMarkets.comResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.
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Retail and Hospitality AI Revolution Forecast Model Report 2023 ... - GlobeNewswire
‘Godfather of AI’ says there’s a ‘serious danger’ tech will get smarter than humans fairly soon – Fox News
The so-called "godfather of AI" continues to warn about the dangers of artificial intelligence weeks after he quit his job at Google.
In a recent interview with NPR, Geoffrey Hinton said there was a "serious danger that we'll get things smarter than us fairly soon and that these things might get bad motives and take control."
He asserted that politicians and industry leaders need to think about what to do regarding that issue right now.
No longer science fiction, Hinton cautioned that technological advancements are a serious problem that is probably going to arrive very soon.
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Geoffrey Hinton, chief scientific adviser at the Vector Institute, speaks during The International Economic Forum of the Americas (IEFA) Toronto Global Forum in Toronto, Ontario, Canada, on Thursday, Sept. 5, 2019. (Cole Burston/Bloomberg via Getty Images)
For example, he told the outlet the world might not be far away from artificial general intelligence, which has the ability to understand or learn any intellectual task that a human can.
"And, I thought for a long time that we were like 30 to 50 years away from that," he noted. "Now, I think we may be much closer. Maybe only five years away from that."
While some people have compared chatbots like OpenAI's ChatGPT to autocomplete, Hinton said the AI was trained to understand and it does.
"Well, I'm not saying it's sentient. But, I'm not saying it's not sentient either," he told NPR.
The OpenAI ChatGPT app on the App Store website displayed on a screen and the OpenAI website displayed on a phone screen are seen in this illustration photo taken in Poland on May 18, 2023. (Photo by Jakub Porzycki/NurPhoto)
"They can certainly think and they can certainly understand things," he continued. "And, some people by sentient mean, Does it have subjective experience? I think if we bring in the issue of subjective experience, it just clouds the whole issue and you get involved in all sorts of things that are sort of semi-religious about what people are like. So, let's avoid that."
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He said he was "unnerved" by how smart Google's PaLM model had gotten, noting that it understood jokes and why they were funny.
Google has since released PaLM 2, the next-generation large language model with "improved multilingual, reasoning and coding capabilities."
Artificial intelligence pioneer Geoffrey Hinton speaks at the Thomson Reuters Financial and Risk Summit in Toronto, December 4, 2017. (REUTERS/Mark Blinch/File Photo)
With the release of such AI swirls fears regarding job replacement, political disputes and the spread of disinformation due to AI.
While some leaders including Elon Musk, who has his own stake in the AI sphere had signed an open letter to "immediately pause for at least six months the training of AI systems more powerful than GPT-4," Hinton does not think it's feasible to stop the research.
"The research will happen in China if it doesn't happen here," he explained.
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He highlighted that there would be many benefits to AI and asserted that leaders need to put a lot of resources and effort into seeing if it's possible to "keep control even when they're smarter than us."
"All I want to do is just sound the alarm about the existential threat," he said, noting that others had been written off "as being slightly crazy."
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Meet PandaGPT: An AI Foundation Model Capable of Instruction-Following Data Across Six Modalities, Without The Need For Explicit Supervision -…
PandaGPT, a groundbreaking general-purpose instruction-following model, has emerged as a remarkable advancement in artificial intelligence. Developed by combining the multimodal encoders from ImageBind and the powerful language models from Vicuna, PandaGPT possesses the unique ability to both see and hear, seamlessly processing and comprehending inputs across six modalities. This innovative model has the potential to pave the way for building Artificial General Intelligence (AGI) systems that can perceive and understand the world holistically, similar to human cognition.
PandaGPT stands out from its predecessors by its impressive cross-modal capabilities, encompassing text, image/video, audio, depth, thermal, and inertial measurement units (IMU). While other multimodal models have been trained for specific modalities individually, PandaGPT can seamlessly understand and combine the information in various forms, allowing for a comprehensive and interconnected understanding of multimodal data.
One of PandaGPTs remarkable abilities is the image and video-grounded question answering. Leveraging its shared embedding space provided by ImageBind, the model can accurately comprehend and respond to questions related to visual content. Whether identifying objects, describing scenes, or extracting relevant information from images and videos, PandaGPT provides detailed and contextually accurate responses.
PandaGPT goes beyond simple image descriptions and demonstrates a flair for creative writing inspired by visual stimuli. It can generate compelling and engaging narratives based on images and videos, breathing life into static visuals and igniting the imagination. By combining visual cues with linguistic prowess, PandaGPT becomes a powerful tool for storytelling and content generation in various domains.
The unique combination of visual and auditory inputs sets PandaGPT apart from traditional models. PandaGPT can establish connections between the two modalities by analyzing the visual content and accompanying audio and deriving meaningful insights. This enables the model to reason about events, emotions, and relationships depicted in multimedia data, replicating human-like perceptual abilities.
PandaGPT showcases its proficiency in multimodal arithmetic, offering a novel approach to solving mathematical problems involving visual and auditory stimuli. The model can perform calculations, make inferences, and arrive at accurate solutions by integrating numerical information from images, videos, or audio. This capability holds great potential for applications in domains that require arithmetic reasoning based on multimodal inputs.
PandaGPTs emergence signifies a significant step forward in the development of AGI. By integrating multimodal encoders and language models, the model breaks through the limitations of unimodal approaches and demonstrates the potential to perceive and understand the world holistically, akin to human cognition. This holistic comprehension across modalities opens up new possibilities for applications such as autonomous systems, human-computer interaction, and intelligent decision-making.
PandaGPT, a remarkable achievement in artificial intelligence, brings us closer to realizing a genuinely multimodal AGI. By combining image, video, audio, depth, thermal, and IMU modalities, PandaGPT showcases its ability to perceive, understand, and connect information across various forms seamlessly. With its applications ranging from image/video grounded question answering to multimodal arithmetic, PandaGPT demonstrates the potential to revolutionize several domains and pave the way for more advanced AGI systems. As we continue to explore and harness the capabilities of this model, PandaGPT heralds an exciting future where machines perceive and comprehend the world like humans.
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Niharika is a Technical consulting intern at Marktechpost. She is a third year undergraduate, currently pursuing her B.Tech from Indian Institute of Technology(IIT), Kharagpur. She is a highly enthusiastic individual with a keen interest in Machine learning, Data science and AI and an avid reader of the latest developments in these fields.
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AI education: Gather a better understanding of artificial intelligence with books, blogs, courses and more – Fox News
Artificial intelligence has recently become a hot topic around the world as tech companies like Alibaba, Microsoft, and Google have released conversational chatbots that the everyday person can use. While we're already using AI in our daily lives, often unknowingly, these forms of computer science are very interesting to a large population.
Some are hoping to simply learn to properly use the chatbots to make extra money on the side, experiment with robot interactions, or simply catch sight of what the fuss is all about. Others, however, are hoping to inspire change and become part of the history by physically advancing AI technology alongside tech tycoons.
No matter the contribution or footprint you plan to have on such a controversial and competitive industry, there is plenty of education for you to find.
ARTIFICIAL INTELLIGENCE: FAQ
Artificial Intelligence is the leading innovation in technology today. (iStock)
Provided you are seeking a comprehensive understanding of AI and the ability to contribute to the industry, there are countless opportunities to absorb a mastery of data science, machine learning, engineering and computer skills, and more.
A Bachelors Degree in Science is a four-year undergraduate program and a Masters Degree in Artificial Intelligence, while it can vary from person to person, is typically a two-year program.
If youre simply hoping to better grasp how to use natural language processing tools like ChatGPT or Bard, or AI image programs like Midjourney, there are a myriad of books, online courses, blogs, forums, video tutorials, and more which educate users.
Follow the social media platforms, websites, and email newsletters of artificial intelligence experts and tech titans like Elon Musk, Bill Gates, or Andy Jassy, published content from AI giants like Microsoft, or general intelligence companies like OpenAI, Deepmind, and Google Brain.
Elon Musk is the multi-billionaire technology entrepreneur and investor, founder and chief executive of SpaceX and Tesla Inc., and a co-founder of Neuralink and Open AI.
Here are a few resources to get you started on understanding the basics of AI, using sophisticated artificial intelligence chatbots, the advancements and dangers of AI, its history, and more.
If youre looking to become a contributor to the advancements in AI or develop a greater understanding of computer science, machine learning and more, consider a Bachelor of Science degree.
A Bachelor of Science with a concentration in Data and Computational Science is a degree "based on the combination of real-world computer science skills, data acquisition and analysis, scientific modeling, applied mathematics, and simulation," according to George Mason Universitys site.
ARTIFICIAL INTELLIGENCE QUIZ! HOW WELL DO YOU KNOW AI?
A number of universities offer a BS in Data and Computational Science. You can also seek a degree in related subjects including information technology, computer engineering, statistics, or data science. Those with a computer science, mathematics or programming background will have the fundamentals to get started with a degree to become an AI professional.
There are a multitudinous array of variations of Masters Degrees in Artificial Intelligence around the U.S. and Canada. A few of them include the Artificial Intelligence Masters Program Online at Johns Hopkins University, the Master of Science in Artificial Intelligence at Northwestern University, and the Masters in Artificial Intelligence at The University of Texas at Austin.
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