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In the rapidly evolving world of Artificial Intelligence (AI), keeping track of the most influential players can be a daunting task. TIME magazine's recent release of their 2024 AI100 list offers a valuable snapshot of the individuals and organizations shaping the future of this transformative technology.
A Diverse Landscape of Innovation
This year's list showcases an impressive range of talent, from tech industry veterans to young visionaries. Google CEO Sundar Pichai stands out for his company's continued push to integrate AI across their product ecosystem. In contrast, Signal's president Meredith Whittaker brings a critical voice to the conversation, advocating for privacy and cautioning against the concentration of power in big tech.
The inclusion of 15-year-old Francesca Mani, who campaigns against the misuse of deepfake technology, alongside 77-year-old Andrew Yao, a respected computer scientist calling for global AI regulation, highlights the multigenerational nature of AI's impact.
Rapid Industry Evolution
Perhaps the most striking aspect of the 2024 list is its turnover rate. With 91 new entries compared to the previous year, it's clear that the AI landscape is shifting at breakneck speed. This flux reflects not just technological advancements, but also changing priorities and emerging challenges in the field.
From Research to Reality
AI is no longer confined to research labs and tech campuses. Innovators like Zack Dvey-Aharon of AEYE Health and Brett Adcock of Figure exemplify how AI is being applied to solve real-world problems in healthcare and robotics. This trend towards practical applications is reshaping industries and creating new opportunities across sectors.
Navigating the Challenges
As AI's influence grows, so do concerns about its potential risks. The recent leadership turmoil at OpenAI, involving the temporary ousting of CEO Sam Altman, underscores the ongoing debates within the industry about development pace and safety protocols. OpenAI's subsequent commitment to enhancing its safety measures reflects a growing awareness of these issues across the AI community.
TIME's AI100 list serves as more than just a who's who of the tech world. It's a roadmap for understanding the direction of AI development and its potential impact on society. As these influential figures continue to push boundaries and challenge norms, their decisions will shape the role of AI in our lives for years to come.
The diversity of perspectives represented in the 2024 list – from enthusiastic proponents to cautious critics – ensures a robust dialogue about AI's future. As TIME prepares to bring these minds together in upcoming events, the global tech community will be watching closely, eager to see how these interactions might spark the next wave of AI innovation and responsible development.
In an era where AI is becoming increasingly integrated into our daily lives, staying informed about its key players and their visions is more crucial than ever. The TIME AI100 list offers a valuable starting point for anyone looking to understand the forces driving this technological revolution.

#TIME #AI #OpenAI #chatgpt #AI100

With the renewed interest in artificial intelligence (AI) sparked by the release of the text-based AI platform ChatGPT, the tool has proven exceptionally useful in multiple areas, including providing insights into the future price trends of assets on the cryptocurrency market, such as that of Ethereum (ETH).

After dutifully reminding the reader that “investing in cryptocurrencies is risky” and that the actual price of Ethereum may be higher or lower than the estimates, ChatGPT has provided “some information on the possible Ethereum price range by 2025, based on ecosystem developments and upgrades, related news, community support, user base, and other factors.”

Is $10,400 possible?

As some of the factors that could impact crypto asset’s price by 2025, ChatGPT singled out the “ongoing development and improvement of the Ethereum ecosystem, including upgrades to the Ethereum 2.0 protocol,” and “the growth of decentralized finance (DeFi) applications.”

On top of that, the AI tool pointed out the “adoption by major companies or financial institutions, or partnerships with other blockchain projects” as well as “the number of customers and developers building on the Ethereum blockchain” as further positive factors potentially driving its price up. Finally, as it explained:

Other not-so-bullish predictions

At the same time, CoinPriceForecast is a lot less bullish on the price of Ethereum in 2025, predicting a price of $2,685 at the end of 2024, followed by $2,825 by mid-2025 and ending the year 2025 with $2,446, according to the most recent data retrieved by Finbold.

Interestingly, the price prediction model over at PandaForecast trends more to the bearish side, targeting $2,045 in January 2025, $1,319 in June, and $1,752 in December 2025, with even its optimistic range seeing $2,224 at the year’s beginning and $2,084 at its conclusion.

Ethereum price analysis

Meanwhile, Ethereum was at press time trading at the price of $1,901, which represents a very modest increase of 0.03% on the day, as well as a drop of 0.49% in the last seven days but still a 1.59% gain on its monthly chart, according to the data retrieved on May 5.

Whether the ChatGPT’s very optimistic prediction has a chance of coming true will largely depend on future positive sentiment and developments directly connected to the Ethereum network, as well as the overall attitude on the wider crypto and macro landscapes.

#chatgpt #crypto2023 #askbinancesensei #chatbot #Binance

As predictable as the changing of the seasons are technology hype cycles that make people delighted and worried. Artificial intelligence is the topic of discussion this year.

The corporate world will either be automated away or saved by OpenAI's ChatGPT. The Lensa and Stable Diffusion applications will either kill the art industry or give newcomers with bold ideas access to a whole new universe of creativity. With every breakthrough, there will be just as many doubts and issues raised by these technologies as there are potential applications.

Fortunately, Web3, a different technical advancement, might steer #ai in a more controllable and democratic path. Examining prior hype cycles for virtual and augmented reality (also known as VR and AR), which called for huge expenditures, sizable teams, and heavy gear, made it possible to discern the difference.

Even though #Web3 has several major players, anybody may enter and have an influence. The same is true for AI as well, at least for now. These innovations work together to make technology more "multiplayer." And in particular, Web3 and AI are democratizing art by increasing the number of artists who can access it.

Accessible AI art tools make coding creation possible.

The legal battles between AI art applications and artists over the origins of the photos their tools were "trained" on and whether or not their tools make it simple to spam people or produce malware over the course of the next several years will be fascinating to watch (they do). The discussion will go on. Nonetheless, these technologies have quickly blended into the workflows of many producers. In less than five days, #OpenAI jumped from having no users to having over a million.

Tools that make it easy to produce textual and graphic content rapidly are clearly in demand. Access to text-to-image applications is especially intriguing for authors who are brilliant at concepts and ideas but are not proficient painters. Being able to conceive your ideas will help you work with creative teams more quickly and produce stronger pitches. Projects may be built more quickly and for less money. The output of these photos may not be flawless, but it is adequate to present a concept in a straightforward, visual manner.

Although being in their infancy for public usage, AI art tools are being used to create some very lovely works. The Bestiary Chronicles employs artificial intelligence art to enhance unique stories written by Steve Coulson. A text-based video game created in ChatGPT by an 11-year-old went viral. Users of MusicLM may generate music from text. There are several "Seinfeld-like" shows available on Twitch.  #chatgpt will produce text using cat translations of human language cues. Even if you're a chatbot, unless you become a cat meme, you have no relevance in today's culture.

The capabilities of these technologies will be improved, regulated, and the long-term need for them will be determined, but they offer a promise: AI art tools enable creators to communicate their ideas more swiftly and affordably than ever before.

Web3 initiatives show users how to collaborate while creating. Web3 initiatives teach people how to co-create tales and productions in real time, whereas a solo artist may use AI art tools to make a work of art without partners.

These #NFT initiatives for generative storytelling give each bearer a role and the power to influence the storyworld. DC Comics artists work in real time on various collections, such as the first Batman comic book series "Batman: The Heritage Cowl," depending on community voting. Because to CC0 licensing, other initiatives like Broadside enable collectors to write and produce their own in-world tales.

Similar to this, governance tooling offers a platform for people to jointly learn how to build. DAOs use Web3 technology to allow communal decision-making in order to direct the development of common tools, resources, and environments. It's obvious that two significant innovations are taking place, and when they intersect, very exciting things will happen, even though these community structures are also emergent and evolving alongside regulatory precedent.

You may now build your initial ideas quickly if you wish to put a concept into action. Use Web3 features like governance, generative storytelling, and tokenized ownership to start developing a project for what you've built.

It's intriguing to think about the possibilities for collaborative innovation as various technological categories co-develop. What will the narrative forms of the future look like with greater accessibility and participation? We could start collaborating more closely with one another as we start to collaborate more thoroughly with code.

OpenAI, the artificial intelligence research laboratory that created ChatGPT, has recently been in the news for the financial struggles it faced in the early stages of its development. In a recent interview with The Wall Street Journal, Sam Altman, CEO of OpenAI, admitted that at one point he even considered issuing a coin to raise development costs.

OpenAI was founded as a non-profit organization in 2015 with the goal of developing artificial intelligence technology in a safe and beneficial way for society. However, the development costs proved to be astronomical, and in 2017 Altman was forced to launch a for-profit corporation to cover the expenses. At the time, Altman even considered receiving government research funds or issuing coins to raise money, but ultimately he had to lay off some staff due to lack of funds.

Altman defined the goal of OpenAI as creating “an order in which machines free people to do more creative things. It also includes the concept of a basic income, in which everyone is provided with an unconditional income. Because AI needs to be compensated for replacing jobs.” Altman’s vision is often described as “social-minded capitalism,” as it emphasizes the public nature of AI and the importance of using technology to benefit society.

OpenAI CEO Sam Altman

While OpenAI’s work has gained widespread popularity and attracted significant investment, there have also been criticisms that the organization is overly focused on commercialization and moving away from its original ideals. Elon Musk, who co-founded the OpenAI Foundation with Altman, has been a vocal critic of the organization’s direction, accusing Altman of commercializing the foundation.

Altman acknowledges the criticism but says he pays attention to what Musk says. To address concerns about commercialization, OpenAI has set a profit limit of 7x to 100x for investors, with all other proceeds going to the foundation. Additionally, the articles of incorporation stipulate that all activities must stop if the most advanced artificial general intelligence (AGI) is created by someone to avoid creating a catastrophic outcome.

To secure funding for OpenAI’s development, Altman had to find a new source of funding. In the summer of 2018, Altman ran into Microsoft’s Satya Nadella at the Sun Valley Conference, a gathering of technology CEOs from around the world. Altman pitched the idea of ChatGPT, and Microsoft eventually made a billion-dollar investment in the organization.

Despite some internal backlash and criticisms from competitors, OpenAI has emerged as the clear leader in the development of AI technology. Since ChatGPT’s release in November 2022, it has gained over 100 million subscribers worldwide, becoming the fastest-growing AI product in history. However, the competition for the commercialization of AI is only getting more intense, with companies like Google and Anthropic also investing heavily in the development of AI technology.

#chatgpt #OpenAI #ICO #SamAltman #azcoinnews

This article was republished from azcoinnews.com

The well-known AI chatbot ChatGPT was created on the GPT-3.5 model, which has now been modified by #OpenAI to become the #GPT-4 model. In addition to reading text inputs, the new model can also read photos and graphics to create text outputs. According to the company, the model meets a range of academic and professional standards with human-level performance.

GPT-4 Now Reads Images

The AI company claims that the model is more inventive and creative than ever before and can tackle complex problems with improved accuracy. It can now comprehend both text and visual input, but the only kind of communication it can return is text. In addition, OpenAI cautions that the systems still suffer from many of the same problems as prior language models, such as the tendency to invent information (also known as "hallucinate") and the capacity to produce violent and harmful material.

The difference between GPT-3 and GPT-4 may appear to be modest in normal conversation, but when the task's complexity exceeds a certain threshold, GPT-4 proves to be more trustworthy, inventive, and "able to handle significantly more nuanced instructions than GPT-3," according to OpenAI.

The team was cited as expressing the following while discussing replies to prohibited content, which has been a persistent complaint of the developers' work from ChatGPT's inception:

"We spent 6 months making GPT-4 safer and more aligned. GPT-4 is 82% less likely to respond to requests for disallowed content and 40% more likely to produce factual responses than GPT-3.5 on our internal evaluations."

In a surprising turn of events, OpenAI discovered that the next generation language model had been concealed from view the entire time. In the end, Microsoft revealed that the GPT-4 platform was used by the AI chatbot Bing Chat, which was developed in collaboration with OpenAI.

Other early adopters include Duolingo, which integrated GPT-4 into a new language learning subscription tier, and Stripe, which utilizes GPT-4 to scan commercial business websites and provide a summary to customer care workers.

OpenAI's premium users get immediate access to GPT-4 through #chatgpt Plus, while developers may now sign up for a queue to have access to the API.

#ElonMusk recently tweeted about his interest in AI over crypto. This move could have far-reaching implications for the tech industry. The announcement has sparked a flurry of discussion amongst social media users, with some expressing their thoughts on Musk's post. According to Musk’s last takes, he finds AI to be more relevant to capitalistic needs than humans and expects Artificial Intelligence to take over the race by 2025. However, the limbic system in our brain which is responsible for human emotions could be our only advantage over emotionless AI tools. Elon Musk started OpenAI which developed an extremely popular language AI model named ChatGPT. Due to its easy and free access, #chatgpt instantly became a hit and OpenAI eventually sealed a massive $10 billion deal with Microsoft. Elon abandoned the project saying that he started #OpenAI to be completely open-source and a not-for-profit organization. Now as per recent reports, Elon Musk is planning to launch another AI project to compete with Microsoft and not miss the AI bandwagon. This tweet by Elon could be a reflection of his intentions for a new project which he had been planning to work on. With new developments and advancements in technology, the world of finance and investment is ever-changing, and it remains to be seen how #crypto2023 will play a role in the years to come. #coingabbar

Artificial intelligence (AI) has revolutionized the way organizations, including those in the cryptocurrency sector, conduct their business operations. AI has brought about significant improvements in customer service, operational efficiency, and understanding consumer behavior.

With the help of machine learning algorithms, companies can analyze vast amounts of data, automate repetitive tasks, and make informed decisions based on empirical evidence. AI-powered chatbots have enabled businesses to offer 24/7 customer support services, while predictive maintenance systems based on AI have minimized the occurrence of costly equipment breakdowns.

Artificial Intelligence Helps Employees Excel At The Workplace

A study conducted by researchers from Stanford University and the Massachusetts Institute of Technology revealed that customer service employees in a Fortune 500 software company who had access to generative AI tools exhibited a 14% increase in productivity compared to those who did not have access to such tools. This research, which Bloomberg reported on, was conducted over a period of 12 months, marking the first time that the impact of AI tools on workplace productivity has been measured outside of a laboratory.

twitter Bloomberg@business

Generative AI refers to an artificial intelligence system that can create content based on human input. The launch of OpenAI's ChatGPT to the public in November 2022 resulted in over one million users within five days. This has led to various firms and software apps promoting their generative AI capabilities, making the power of AI more accessible to the masses.

While previous research has focused on the performance of large language models in areas such as law and medicine, the recent studies by Stanford and MIT have analyzed the impact of generative AI tools on company productivity. Although earlier experiments had shown the potential of large-language models in the workplace, their effect had mostly been theoretical until now.

Transforming Workplace Operations: The Impact of ChatGPT

The research project analyzed over 5,000 customer support agents based in the Philippines and their performance metrics in resolving client issues effectively and quickly. The study utilized AI tools, such as OpenAI's ChatGPT, that were trained on a large dataset of successful customer service interactions. The company's identity that specializes in enterprise software for small and medium-sized businesses in the United States was not disclosed in the report.

The study suggests that AI tools can help increase the productivity and performance of low-skilled workers by enabling them to absorb the tacit knowledge of the company's top performers. AI-generated suggested responses can be disseminated to less-experienced employees, which benefits novice workers the most. With the assistance of AI, the least-skilled employees were able to complete their work 35% quicker.

Artificial Intelligence: A ‘Game-Changer

According to Erik Brynjolfsson, co-author of the study and director of the Digital Economy Lab at the Stanford Institute for Human-Centered AI, the average productivity increase was approximately 14%, which is lower than in previous experiments. However, the research suggests that AI tools can assist less-skilled employees to become more proficient and disseminate the knowledge of top performers throughout an organization.

How Artificial Intelligence is Revolutionizing the Cryptocurrency Industry

AI is also transforming the cryptocurrency sector by helping professionals analyze massive volumes of data, detect patterns, and make informed decisions. Trading algorithms can analyze data and identify trends that people may miss, which helps traders make better decisions and trade faster.

AI also plays a significant role in detecting and preventing crypto fraud. Machine learning algorithms can discover unusual transactions and trends that may signal money laundering or Ponzi schemes in huge data sets. This protects investors and preserves the crypto sector.

Furthermore, AI assists crypto workers in managing risk and preventing fraud by evaluating market data, finding trends and connections, and suggesting asset purchases and sales. AI is transforming the cryptocurrency sector by helping professionals make better decisions and preserve the industry's integrity.

#ai #chatgpt #BTC #artificialintelligence #educational

Source: bitcoinist

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The views and opinions expressed by the author, or any people mentioned in this article, are for informational purposes only, and they do not constitute financial, investment, or other advice. Investing in or trading crypto assets comes with a risk of financial loss.