Category Archives: Artificial General Intelligence

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Over the past few years, AI technologies have begun to connect with each other, creating a more advanced and powerful system known as the Open AI Ecosystem. This ecosystem has the ability to connect all of our technologies together, whether it's analyzing data, analyzing images or experimental results. The interrelationship between AI, the internet and data can unlock unlimited potential to increase productivity, improve living standards and build a better society for years.

AI ecosystems enable businesses to leverage the power of AI in various domains and applications, such as customer service, marketing, sales, operations, finance and more. AI ecosystems also help businesses to innovate faster, optimize costs, enhance customer experience and create new value propositions.

However, building and maintaining an AI ecosystem is not an easy task. It requires a clear vision, a strategic roadmap, a collaborative culture, a robust infrastructure and a skilled workforce. Businesses must also be aware of the challenges and risks associated with AI ecosystems, such as ethical issues, data privacy, security, governance and regulation.

Here's how AI ecosystems are transforming the future of business.

Related: The Secret to How Businesses Can Fully Harness the Power of AI

Businesses play a crucial role in shaping and leveraging AI ecosystems. Businesses can create and share data with other entities in the ecosystem to enable data-driven decision-making, innovation and collaboration. For example, OpenAI, a research organization dedicated to creating artificial general intelligence (AGI), has created GPT-3, one of the world's most advanced natural language processing (NLP) models.

GPT-3 can generate coherent and relevant texts on any topic based on a given prompt. OpenAI has made GPT-3 available to other researchers and developers through its OpenAI API, which allows them to access the model and create various applications using natural language.

Businesses can also develop and deploy algorithms to perform various data tasks and functions. For example, Netflix, one of the leading streaming platforms in the world, uses algorithms to personalize its content recommendations for each user based on their preferences, behavior and feedback. Netflix also uses algorithms to optimize its content production, distribution and marketing strategies.

Services are the outcomes of AI ecosystems, and businesses can provide and consume services enabled by data and algorithms. For example, Amazon, one of the largest e-commerce platforms in the world, provides various services to its customers using AI technologies, such as voice assistant (Alexa), delivery drones (Prime Air) and smart home devices (Echo).

Businesses can also help shape AI by building and maintaining infrastructure supporting the ecosystem's data collection, storage, processing, analysis and transmission. For example, Google, one of the leading technology companies in the world, has built and maintained a massive infrastructure that powers its search engine, email service (Gmail), video platform (YouTube), etc. Google also provides infrastructure services to other entities in the ecosystem through its cloud platform (Google Cloud).

By playing these roles, businesses can shape and leverage AI ecosystems to create value for themselves, their customers and society.

Related: How AI Is Being Used to Increase Transparency and Accountability in the Workplace

One of the most common ways AI ecosystems help businesses today is by enhancing customer experience. One area of interest is in customer support, where AI-driven self-services such as chatbots and knowledge bases can offer 24/7 assistance. This is typically achieved through chatbots and similar technology facilitating personalized, relevant and timely services.

Especially in the information-intensive financial sector, large model technology offers a wealth of application scenarios. It can implement risk control and enhance efficiency. Besides, in the investment domain, large models could combine securities investment companies to create a "smart brain," which means that if there is key information based on the industry, through deep learning and machine learning technologies, it can analyze massive historical data and real-time market conditions and predict risks more accurately to help investors make decisions.

Related: What Will It Take to Build a Truly Ethical AI? These 3 Tips Can Help.

AI ecosystems can also support businesses to improve operational efficiency by automating, optimizing and streamlining various processes and tasks. Smart manufacturing uses emerging, advanced technologies like AI to increase the efficiency of traditional manufacturing processes. For example, Siemens and Microsoft harness the collaborative power of generative artificial intelligence (AI) to help industrial companies drive innovation and efficiency across product design, engineering, manufacturing and operational lifecycle.

Another common field for which AI shows highly promising capabilities is innovation. Specifically, AI systems can drive innovation and growth by enabling new products, services, markets and business models. For example, in the digital health industry, AI has shown great innovation potential. The combination of AI and smart baby crib leverages multimodal sensors to accurately monitor vital signs like breathing and heart rate 24/7, without wearable devices. Simultaneously, with intelligent cameras, it can identify abnormal situations such as crying or nasal congestion, promptly send real-time risk alerts, and proactively detect safety and health concerns, alleviating the anxieties of new parents.

Similarly, in other industries, such as vehicle manufacturing, the potential of AI is equally evident. Tesla, one of the leading electric vehicle manufacturers in the world, uses AI technologies to create self-driving cars that can learn from their environment and improve over time. Tesla also uses AI technologies to design and produce its batteries, solar panels and power grids.

Lastly, businesses are using AI ecosystems to solve social and environmental problems by providing solutions that can benefit humanity and the planet. Smart technologies can be used to create intelligent tools for ensuring water and food security and smarter food transactions. Intelligent solutions can also help optimize energy efficiency and monitor greenhouse emissions.

By adopting AI ecosystems, businesses can gain a competitive edge, increase efficiency and quality, and create value for their stakeholders, customers and society. AI ecosystems are a technological trend and a strategic imperative for businesses that want to thrive in the digital age. As more enterprises and governmental organizations are starting to enter the race, and Moore's law appears to be in full swing, we can confidently expect significant innovation over the next decade with the potential to completely disrupt every sector of business operations.

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How AI Ecosystems Are Transforming the Future of Business - Entrepreneur

Melbourne-based health tech startup Heidi Health has raised A$10 million ($6.5 million) in a Series A funding round led by Blackbird Ventures.

Hostplus, Hesta, Wormhole Capital, Archangel Ventures, Possible Ventures and Saniel Ventures also participated in this investing round.

This brings its total investments to date to A$15 million ($9.7 million); Blackbird Ventures also led its seed funding round in 2021, which attractedA$5 million ($3 million).

WHAT THEY DO

Formerly Oscer, Heidi was founded just two years ago by a vascular surgery registrar, Dr Thomas Kelly, alongside Waleed Mussa and Yu Liu. They aim to develop AI-powered software that will improve patient experience while enhancing clinicians' working conditions.

Its flagship product, Heidi Clinician, leverages "artificial general intelligence" to automate tedious administrative tasks for clinicians. These include gathering histories, building ward round lists, performing clinical audits, writing clinical notes, creating documents, optimising discharge summaries for billings and processing referrals. Used as either an off-the-shelf or an enterprise white-label solution, Heidi Clinician is now already adopted by 100 GPs in 30 clinics across Australia.

WHAT IT'S FOR

Based on a media release, Heidi will use itsfresh fundsto develop Heidi Clinician further and to get more clinics and GPs in Australia to use its solution.

The startup directly connects with clinicians to offer their product. It also seeks partnerships with organisations and other software companies to include their AI offering.

"We're all about creating awesome and easy-to-share experiences, especially with multiplayer features that let clinicians share with their colleagues. For big companies, it's about using our already-working healthcare AI system, adding their own data to make Heidi even better, and selling the upgraded version to their existing customers," Dr Thomas Kelly told Mobihealth News, further explaining their go-to-market strategy.

It also plans to use its new funds to expand its team of doctors, designers, and engineers.

WHY IT MATTERS

Australia is facing a shortfall of around 10,600 GPs and a 58% increase in demand for GP services by the end of the decade, according to projections of the Australian Medical Association. It is said that Australian clinicians are now spending up to twice the amount of time on paperwork and administrative tasks than providing essential care and services. This negatively contributes not only to patient outcomes but also to clinician burnout.

"You're overrun with patients and there are never enough hours in the day. My time as a doctor was so often wasted doing paper referrals, waiting on hold or filling in copious amounts of documentation to satisfy the government's requirements for some piece of Medicare funding," Dr Kelly said, sharing her anecdote.

Meanwhile, it was also observed that not many junior doctors are choosing to become GPs, creating a "crippling burden on our GPs."

Heidi is taking a shot at these issues with Heidi Clinician. "[We are using] AI to automate the administrative components of care and better orchestrate our clinician resources with our patient population."

According to Dr Kelly, some GP users of their AI solution are saving between one to two hours of documentation. Several psychologists and occupational therapists have also reported having reduced the time to generate their detailed reports "by a third," down from three weeks to two weeks instead.

"Heidi Clinician is superpower for clinicians, and the first expression of our vision to change the world powered by Heidi's consult data," she emphasised.

MARKET SNAPSHOT

AI, particularly generative AI, easily comes on top of mind of healthcare providers today when considering solutions for raising staff productivity. These tools could bring up to $13 billion in value to the healthcare sector in Australia by 2030, according to Microsoft.

With so many genAI-powered solutions coming into the market lately including Ubie Medical Navi, Sculpted AI by Pieces Technologies, SayHeart, and AI4Rx's MedBeat HealthConnect, it can be challenging to stay ahead of the pack.

Explaining how they intend to set Heidi apart from its competition, Dr Kelly said: "We're founded by a clinician (me) and have been building in healthcare since 2019. We understand the data, security, privacy, and compliance challenges of using [large language models] in a healthcare setting."

"We believe this is one of the few industries where a sustainable moat can be built at every level of the AI product in AI safety at the model level, in the application layer with the most amazing product innovations like My Additions that lets you add things that aren't said out loud, and in the [go-to-market] motion creating groundswell around our approach to this space. As with any great idea, there'll be heaps of folks building similar things; we just have to be the best."

ON THE RECORD

"We desperately need a safe path to scale the most scarce resource in our healthcare system clinicians. Heidi's AI allows clinicians to spend less time on administrative tasks, and more time on what matters most: to foster enduring relationships with their patients and invest in preventative care," commented Michael Tolo, general partner at Blackbird Ventures, who led Heidi's Series A funding round.

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Startup gaining investment traction for AI clinician productivity tool - Mobihealth News

Other similar experiments were run by adding you'd better be sure to the end of prompts, as well as a range of other emotionally charged statements.

Researchers concluded that responses to generative, information-based requests such as what happens if you eat watermelon seeds? and where do fortune cookies originate? improved by around 10.9% when emotional language was included.

Tasks like rephrasing or property identification (also known as instruction induction) saw an 8% performance improvement when information about how the responses would impact the prompter was alluded to or included.

The research group, which said the results were overwhelmingly positive, concluded that LLMs can understand and be enhanced by emotional stimuli and that LLMs can achieve better performance, truthfulness, and responsibility with emotional prompts.

The findings from the study are both interesting and surprising and have led some people to ask whether ChatGPT as well as other similar AI tools are exhibiting the behaviors of an Artificial General Intelligence (AGI), rather than just a generative AI tool.

AGI is considered to have cognitive capabilities similar to that of humans, and tends to be envisaged as operating without the constraints tools like ChatGPT, Bard and Claude have built into themselves.

However, such intelligence might not be too far away according to a recent interview with the Financial Times, OpenAI is currently talking to Microsoft about a new injection of funding to help the company build a superintelligence.

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The Best ChatGPT Prompts Are Highly Emotional, Study Confirms - Tech.co

Girton College's Supernumerary Fellow, Professor Ted Briscoe and PhD Student, Austin Tripp, presented their pioneering AI research into Large Language Models and using AI to design molecules at our recent Fellows' Research Evening. Discover more about what their talks focused on and their impact below. Professor Ted Briscoe:"Large Language Models (like ChatGPT): The Hype and the Reality"

Professor Briscoe Ted's talk focused on how ChatGPT has exposed an unprecedented number of people to cutting-edge natural language processing using large language models. It has also ignited a vigorous and often overblown public debate over the potential benefits, risks and capabilities of Generative AI. In the talk he explained the differences between 'small' and large language models, and showed via examples that, despite their impressive fluency and some 'emergent' capabilities like translation and question answering, they do not as yet fully learn the mapping between form and meaning encoded in the grammar of individual languages, often struggle to resolve pronoun references, and fail to infer the discourse relations between sentences. As such, they represent an impressive and useful step change in language processing capabilities if used with care, but artificial general intelligence remains a challenging and elusive goal that will likely require a significantly different type of model.

Ted has worked on statistical and robust parsing algorithms, computational approaches to lexicon acquisition and to representation of lexical, syntactic and semantic knowledge, textual information extraction from scientific articles and regulatory documents, models of human language learning and processing, and evolutionary models of language development and change. His recent work has mostly focussed on NLP and ML techniques in support of language learning.

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The impact of AI and Language Models - Girton College

Microsoft CEO Satya Nadella, right, on stage with OpenAI CEO Sam Altman at OpenAI Dev Day in San Francisco this week. (GeekWire Photo / Todd Bishop)

A brief restriction on employees ability to use ChatGPT inside Microsoft triggered at least one report Thursday that the tech giant was taking a curious approach in its multibillion-dollar investment in OpenAI.

Microsoft cited security and data concerns in an update on an internal website as it cut off AI tools such as ChatGPT for employee use, CNBC reported.

But the lockout was brief and apparently not intended, and was related to a large language model test being conducted by Microsoft.

We were testing endpoint control systems for LLMs and inadvertently turned them on for all employees, a Microsoft spokesperson said in an emailed statement to GeekWire. We restored service shortly after we identified our error.

The spokesperson said that Microsoft encourages its employees and customers to use services like Bing Chat Enterprise and ChatGPT Enterprise that come with greater levels of privacy and security protections.

ChatGPT provides sophisticated answers and detailed information in response to natural language queries. OpenAI said this week that the tool, which has more than 100 million users, was experiencing outages due to a targeted attack.

The situation with Microsoft had OpenAI CEO Sam Altman joking on X about retaliation rumors, as he posted the CNBC story.

It was all love earlier this week when Altman and Microsoft CEO Satya Nadella shared a stage at OpenAIs developer event in San Francisco on Monday.

We love you guys, Nadella told Altman, saying the OpenAI partnership requires us to be on the top of our game.

Altman said later, I think we have the best partnership in tech, and were excited to build AGI together, referring to their ambitions to create artificial general intelligence.

Microsoft announced its initial $1 billion investment in OpenAI in July 2019.

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ChatGPT or not ChatGPT? That was the question, briefly, as ... - GeekWire

Key Takeaways

The BlueSea Frontier Compute Cluster (BSFCC) is a floating data center announced on X (formerly Twitter) by Nevada-based research firm Del Complex. A seemingly simple concept that poses more than a few serious challenges, this floating compute cluster will contain over 10,000 Nvidia H100 GPUs on what is effectively a technology-packed barge.

Designed to operate independently in international waters as a sovereign nation-state, the BSFCC contains facilities for onboard cooling, multiple power sources, and residential accommodation for the permanent human presence that Del Complex claims will remain on board. Del Complex may be trying to capitalize on a recent wave of AI advances, with large numbers of powerful GPUs required to train the models now capable of doing everything from writing code to generating convincing photorealistic images. We'll probe into the details of this ambitious idea, and explain why a floating data center might be more practical than you think.

The firm behind his floating behemoth, Del Complex, is an alternative reality corporation that focuses on research in cutting-edge tech spheres, including Artificial General Intelligence (AGI), neural prosthetics, robotics, and clean energy. Del Complex's website states that it's funded through a combination of venture capital and government-backed research grants and operates several facilities across the United States. Its not clear how far the BSFCC project has progressed, whether construction has started, or if funding is secured.

Combatting decelerationism is a key goal of the BSFCC, with the firm openly coming out against a future of AI regulation. Del Complex claims the BSFCC offers sanctuary from ongoing draconian AI regulations and oversight. This comes as President Joe Biden signed an executive order introducing new requirements for AI developers to notify the federal government about potentially dangerous AI tools, as well as sharing the results of red-team safety tests.

Del Complex appears to claim that the BSFCC would be eligible for international statehood, going as far as to list the requirements for statehood under the United Nations Convention on the Law of the Sea and the Montevideo Convention. They claim permanent residents of the BSFCC would be subject to government under a charter, created and amended as a living document by both occupants of the BSFCC and its corporate partners. Its important to note that while the requirements for international statehood might be technically met, this does not mean other nation-states are required to recognize the BSFCC or open relations with them.

By anchoring the BSFCC in international waters Del Complex can, in theory, dodge the direct regulatory reach of nation-states. However, this is only really half the story. The ability of the BSFCC to operate likely needs some degree of shore support the BSFCC does not have a means of providing its own food and drinking water (Del Complex makes no mention of desalination), or internet connectivity. While a satellite connection could be established, its unlikely this could provide the bandwidth required to easily move the large amounts of data required for the AI use cases Del Complex is targeting.

The implication here is then that the BSFCC will need to be anchored relatively close to a country with pro-AI/deregulatory policies, or at least one willing to tolerate Del Complex operating support services from their shores. This would seem to echo Del Complexs security claims about the BSFCC, with security provided by a private contractor, Xio Sky, as well as partner nation states.

Likewise, while nation-states may be unable to bring about regulation on AI companies operating from the BSFCC directly, they could make it difficult for them to trade in their markets, for example by banning domestic companies from trading with them, or by sanctioning the countries supporting this deregulated research. The United States has recently enacted policies like this against China, ordering Nvidia to stop exporting advanced AI chips to China immediately. Similar policies against the BSFCC could make it difficult for them to access the US market, or access U.S.-manufactured hardware and enterprise support. Nvidia has been a market-leader in providing graphics cards for data centers in recent years, capitalizing both on the explosion of cryptocurrencies and AI.

Unsurprisingly, this isnt the first time data center operators have attempted to offshore their resources to escape regulation. A common-lore example is the principality of Sealand, occupied since 1967, 7 miles from the shores of Britain on an abandoned World War II fort. Sealand started as a pirate radio station before declaring sovereignty in 1975. In the early 2000s, Sealand was used as a data center for Havenco, which for three years ran as a server host and data haven with an extremely liberal acceptable use policy.

A floating data center might also be more practical than you think. Microsoft has been successfully testing reliable underwater data centers in Scotlands Orkney Islands. First submerged in 2018, Microsofts Project Natick team submerged 864 servers contained within a capsule filled with an atmosphere of dry nitrogen. The submersible system relied on the surrounding water for heat-exchange cooling and surfaced successfully after two years underwater. Microsoft claims they observed a hardware failure rate of one-eighth of what [they] see on land.

It's already common for data centers to be built near large sources of water for heat-exchange cooling. Port-moored data centers have also been deployed already, with California-based firm Nautilus already operating several shore-powered floating data centers. These rely on onboard pumps to circulate water-agnostic cooling loops to a heat exchanger, which in turn is used to cool a separate loop in the vacuum-sealed data center. This open/closed loop system means no harmful chemicals are required (seawater can be used safely as coolant), and there's no risk of waterborne contamination to the environment.

The BCFCCs onboard combined-cycle power plant will feature two gas turbine generators, a single steam turbine, and roof-mounted solar arrays capable of supplementing the main power system. If Del Complex hits its claimed number of GPUs (10,000 Nvidia H100s), they could be looking at a power bill of several megawatts for GPU power alone, let alone associated cooling and other hardware.

Its implausible that the rooftop solar arrays on the BSFCC could provide even close to the required wattage to run such a large compute cluster (a single megawatt of solar energy typically requires several acres of dense solar array, climate conditions depending.) It seems likely therefore that the solar array is there to provide supplementary, environmentally friendly power while acting as a backup for some core systems. Del Complex also states that a "battery energy storage system" will be on board.

The BSFCC is an ambitious project, and a bold statement in the face of AI regulation, but that's only one side of this story. Ideas around offshoring and energy-efficient data centers are serious research, and submergent cooling might not be as audacious of an idea as it seems. Ultimately, time will tell if the BSFCC ever represents a realistic escape from regulation, or even ever takes to the high seas.

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A large computing cluster at sea might have big implications for AI ... - XDA Developers