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Quarterly Activities Report to 30 June 2022
SensOre (ASX: S3N) aims to become the top performing global minerals targeting company through deployment of big data, artificial intelligence (AI)/machine learning technologies and geoscience expertise. AI-targets are leveraged through SensOre’s three business divisions: Technology, Services & Exploration.
Highlights
- SensOre acquires Intrepid Geophysics to advance its client base and east coast presence
- Technology milestones achieved over the quarter:
- Geochemistry data ingestion for Western Australia
- Completion of discovery process with CGI (formerly Unico) to advance cloud-based platform
- Successful completion of Victoria pilot project in the Stawell and Ballarat gold corridors
- Services milestones achieved over the quarter:
- Delivery of South Australia project to Aroha Resources, Argonaut Resources and Barton Gold
- Lithium targeting advanced to near completion for clients
- Exploration – multiple exploration campaigns continued at S3N’s WA projects with many assays pending:
- North Darlot – RC gold results confirm basement mineralisation and highlight untested potential
- Eaglehawk – 74 air core holes for a total of 6,480m. Assays pending
- Balagundi – 81 air core holes for a total of 3,778m. Assays pending
- Maynards Dam/Marloo – 105 air core holes for 2,955m with a further 60 holes completed post-quarter end for a total of 5,288m drilled. Assays pending
- Moonera – single mud rotary diamond hole (22MODD001) to a total depth of 733.10m. Assays pending
Figure 1: Wallis Drilling at SensOre’s Moonera prospect in the Madura region, Western Australia
Geoscience technology disruptor SensOre (ASX:S3N) is pleased to present its quarterly activities report for the period ending 30 June 2022.
Over the quarter, SensOre demonstrated significant developments across its three business units of Technology, Services and Exploration reinforcing the Company’s ambition of becoming a top performing minerals targeting company. SensOre announced the acquisition of Intrepid Geophysics – a significant step towards customer acquisition, data integration and revenue building. More information on this transaction is provided in the Corporate section of this report.
Technology
SensOre’s technology applies advances in AI and machine learning to large geoscience datasets to increase discovery rates, reduce exploration costs and minimise the environmental footprint of exploration.
GSWA data ingestion milestone
SensOre’s Technology division reached an important milestone during the quarter, completing a major update involving the cleaning and ingestion of valuable geochemical data into the Company’s hyperdimensional Data Cube. The expanded Data Cube now includes 2021 released Geological Survey of Western Australia industry data across WA. The expanded Data Cube strengthens the AI-enhanced exploration services SensOre offers to its clients and partners.
Figure 2: Geochemical data sets over Western Australia
Technology platform development
SensOre completed its discovery process with CGI (formerly Unico) to advance the Company’s cloud-based platform. The project uses SensOre’s AI-driven technology to create a digital twin of the Earth’s surface, enhancing the way exploration companies identify and analyse mineral exploration targets with a focus on optimising the decision-making process in targeting.
Click here for the full ASX Release
This article includes content from SensOre, licensed for the purpose of publishing on Investing News Australia. This article does not constitute financial product advice. It is your responsibility to perform proper due diligence before acting upon any information provided here. Please refer to our full disclaimer here.
Is Now a Good Time to Invest in AI Stocks? (Updated 2024)
Artificial intelligence (AI) technologies have made their way to the mainstream, and major tech companies are competing to offer better solutions for their customers and investors.
AI itself is the simulation of intelligence in manmade software, and the field involves the study, development and application of machines able to learn and make decisions in a similar way as humans.
Since 2022, the progression of AI — and the exciting progress of generative AI — has sparked renewed interest in the field. Many startups have entered the field, with some backed by major tech companies that have been investing heavily in AI research and development.
While the buzz around AI has been promising, some analysts have articulated worries about a bubble forming around the biggest tech stocks, prompting some investors to wonder whether now is a good time to invest in AI.
There's a lot to understand about this fascinating subject, and the Investing News Network is here to help answer all your questions about the AI industry, including whether now is the right time to invest, how to get exposure to AI and whether AI stocks are a bubble. Read on to learn more about this developing market.
Table of contents
- What is the history of AI?
- What are the market trends for AI in 2024?
- What is the forecast for AI stocks?
- Is AI a bubble?
- How to invest in AI stocks and ETFs now
What is the history of AI?
The term "artificial intelligence" was coined by John McCarthy in 1956 at the Dartmouth Summer Research Project on AI. The project's goal was to brainstorm about AI's potential and how to achieve it. The event brought together brilliant mathematicians and scientists from around the world and is considered the catalyst for establishing AI as a field of study.
The emergence of AI in the 1960s was marked by the creation of the first AI-enabled robot and paved the way for major advancements like expert systems and the Internet. The 21st century saw AI integration into everyday life through devices like the iPhone and its voice assistant, Siri, which further fueled research into virtual assistants. This progress culminated in the development of sophisticated humanoid robots like Sophia, capable of human-like interaction and learning.
OpenAI, the explosive startup that helped spark interest in AI with their large language model ChatGPT, was founded in December 2015. On July 22, 2019, OpenAI signed a partnership agreement with Microsoft (NASDAQ:MSFT) worth US$1 billion, cementing the company’s status as a prominent figure in the tech industry, and Microsoft has made further investments since then, including one reportedly worth US$10 billion that was signed in 2023.
After releasing multiple iterations of its GPT language model internally or with limited access beginning in 2018, in November 2022, OpenAI publicly released ChatGPT, a chatbot application built on top of its GPT-3.5 model. The chatbot gained one million users in just five days, and ChatGPT became the fastest-growing consumer app in history.
AI development accelerated rapidly from that point. Taiwan Semiconductor Manufacturing Corporation (TSMC) (NYSE:TSM), the largest manufacturer of computer chips, released its Q4 2022 results on January 12, 2023, which revealed an astonishing 78 percent growth in net profit compared to the previous quarter thanks to an increase in chip orders as TSMC’s clients — including Apple (NASDAQ:AAPL), Sony (NYSE:SONY) and Intel (NASDAQ:INTC) — raced to capitalize on the AI boom.
In early 2023, one company emerged as a leader in AI hardware: Nvidia (NASDAQ:NVDA). Nvidia designs high-performance graphics processing units (GPUs) and other specialized chips powering the majority of AI workloads today. The company’s products were in high demand as AI took off, and on May 24, 2023, the company reported a 19 percent increase in quarterly revenue driven by orders of its GPUs. Nvidia’s share value grew by over 230 percent in 2023. Its chips are still highly sought after, and the company is now TSMC's largest and most valuable customer.
The excitement and interest from users — and investors — have prompted tech companies eager to capitalize on the groundbreaking technology to pour billions of dollars into AI research and development (R&D).
OpenAI’s GPT-4o was released on May 13, 2024, and featured improved personalized responsiveness and contextual awareness. “This is incredibly important because we are looking at the future of interaction between ourselves and the machines," said Chief Technology Officer Mira Murati during the product release at the company’s Spring Update.
Its newest model, OpenAI o1, is designed to spend more time “reasoning” before it responds, allowing it to solve harder, more complex problems in math, coding and science. A preview of the first version was released on September 12.
What are the market trends for AI in 2024?
AI and generative AI — technology with the "brainpower" to produce content — have already taken the world by storm, and the industry appears set to continue growing. The global AI market was valued at US$136.6 billion in 2022 and is expected to grow at a compound annual growth rate of 17.3 percent between 2023 and 2030, according to a report by Grand View Research.
AI software has revolutionized data-driven industries, particularly the finance, healthcare, transportation, manufacturing and education sectors. In the medical field, AI has been particularly transformative, accelerating drug discovery, refining diagnostic accuracy and advancing research by enabling the analysis of large datasets with speed and precision. The market for AI in healthcare is expected to grow at a compound annual growth rate of 47.6 percent between 2023 and 2028, according to research conducted by Markets and Markets.
AI software has also boosted major tech companies to new levels of success and turned lesser-known enterprises into household names. Microsoft’s collaboration with OpenAI exemplifies this trend, as integrating OpenAI’s technology into AI products like Microsoft 365 Copilot and the Azure cloud platform has likely contributed to increased revenue for cloud services.
Microsoft's product releases had become somewhat stagnant in the years leading up to their involvement with ChatGPT. While the company continued to iterate on existing products and services like Windows and Office, there was a lack of truly groundbreaking or innovative releases that captured widespread attention and excitement the way its AI product offerings have.
To understand the AI landscape, it's helpful to break down the key players into three distinct segments: the software designers crafting the AI models and providing essential infrastructure, the chip designers creating the specialized hardware and the chip manufacturers bringing these designs to life.
Google’s (NASDAQ:GOOGL) LLM Gemini made its debut on December 6, 2023, and led to the company’s stock price increasing by 5.34 percent. Google has since expanded access and rolled out new versions and updates to Gemini. The company’s valuation has grown by 21.41 percent since Gemini’s initial release.
Amazon (NASDAQ:AMZN) Web Services (AWS) has become an integral part of Amazon’s AI landscape as well, providing tools and infrastructure for businesses like pharma giant Johnson & Johnson (NYSE:JNJ) to build and scale their own AI solutions.
Johnson & Johnson also collaborates with IBM (NYSE:IBM) to leverage its expertise in AI. IBM’s AI platform, Watson, provides domain-specific expertise for various industries including healthcare and customer service. Its architecture combines machine learning and natural language processing, giving it reasoning capabilities beyond pattern recognition.
Nvidia is an industry leader in terms of chip design and has seen its share value increase by nearly 145 percent year-to-date in 2024. While it is certainly the most well-known chip designer, there are a number of other prominent figures in the industry including AMD (NASDAQ:AMD), Broadcom (NASDAQ:AVGO), ARM (NASDAQ:ARM) and Samsung (KRX:5930).
The largest chip manufacturer is TSMC, which is based in Taiwan. TSMC American depositary shares trade on the New York Stock Exchange and have seen growth of 103.89 percent since January 2023. Other major chip makers include Qualcomm (NASDAQ:QCOM) and Intel.
The relationship between Nvidia and TSMC is one of critical interdependence and mutual benefit, similar to the partnership between Microsoft and OpenAI, as both are key players in the semiconductor industry.
What is the forecast for AI stocks?
The transformative potential of AI is undeniable; it’s no longer a question of “if” but “how” AI will shape our future. This sentiment is mirrored in the market, with clear examples of AI’s impact on stock valuations.
For instance, Apple announcing that it would integrate ChatGPT into new versions of iOS on June 10 coincided with a 7.26 percent increase in its stock's valuation.
However, the September 9 product release was underwhelming and Apple’s stock lost value due to a delayed rollout and limited access to AI features. This serves as a reminder that the AI landscape also presents challenges, including fierce competition and the risk of rapid obsolescence. It's also important to acknowledge the possibility of a disconnect between current investor sentiment and the realistic timeline for AI to deliver substantial returns.
Nevertheless, there are indications that "the fourth industrial revolution" has the potential for long-term economic growth. After all, the handful of internet companies that managed to survive the dot-com crisis went on to become majorly successful. For now, the AI hype seems set to continue — Nvidia’s Q2 report, released on August 28, projected a strong outlook for Q3 based on the growth of its AI architecture. Likewise, TSMC projected its gross profit margins for Q3 would be between 53.5 and 55.5 percent.
Is AI a bubble?
The excitement around AI's potential has sent investors to AI stocks in droves, but does that mean that now is a good time to invest? If the dot-com bubble burst of 2000 taught us anything, it's that overvaluing revolutionary sectors can have dire consequences. While there’s no doubt the industry carries a lot of potential, experts have raised concerns about overvalued tech stocks and market concentration.
A report released by Goldman Sachs on June 25 offered diverse viewpoints on the issue. For example, while Head of Global Equity Research Jim Covello points out that AI’s abilities have not justified the sizable investments made to develop it, senior global economist Joseph Briggs argues that the cost of deploying AI will decline over time, and in the long-term, these technologies should increase automation, productivity and the GDP.
Peter Mangin, an AI expert out of New Zealand, responded to the points made in Goldman Sachs’ report in his article Investing in AI: Why the Scepticism Misses the Bigger Picture.
“AI has the potential to create new industries, tasks, and business opportunities, driving long-term economic growth and productivity improvements beyond current projections,” Mangin wrote. “Just as the internet gave rise to entirely new sectors like e-commerce and social media, AI can lead to the development of new fields and professions. This will not only create jobs but also spur innovation and economic diversification.”
Purpose Investments Nicholas Mersch posted on July 18 that a portfolio with a high concentration of tech stocks can be profitable if the stocks are chosen carefully. He points to semiconductor companies, infrastructure builders and mega-cap cloud providers — in that order — as the “beneficiaries” of AI, as decided by the market.
Indeed, amidst the stock market panic on August 5, share values of chip manufacturers like TSMC, Micron Technology (NASDAQ:MU), Broadcom and ASML (NASDAQ:ASML) took a significantly smaller hit compared to mega-cap cloud providers like Apple, Nvidia and Google.
There is also the issue of energy consumption. Speaking with Bloomberg’s Merryn Somerset Webb during a July 5 episode of the Merryn Talks Money podcast, founding partner of MacroStrategy Partnership James Ferguson emphasized that the energy demands of AI applications may erode the profits.
“Therefore you end up with something that is very expensive and has yet to prove anywhere really, outside of some narrow applications, that it’s paying for this,” he said.
In January, the International Energy Agency found that energy consumption from data centers, cryptocurrency and AI accounted for roughly 2 percent of global energy usage in 2022 and it forecasted that figure could double by 2026.
That might be why some analysts are looking at utilities stocks and data center companies as an indirect way to benefit from the growth potential AI offers. “Data-center expansion is a generational growth opportunity right now for utilities,” Travis Miller, an energy and utilities strategist for Morningstar, told Fortune on August 4.
For their part, companies have released smaller language models with specific use functions, like OpenAI’s GPT-4o Mini or Gemini Nano, which use less energy and are more affordable.
The contrasting views among analysts and experts create a complex landscape for investors. While AI's potential is undeniable, navigating its investment complexities requires careful consideration.
How to invest in AI stocks and ETFs now
Seasoned investors with decent knowledge of AI and its applications might want to invest in individual AI stocks. Many of the largest tech stocks offer investors various levels of exposure to AI, particularly ones in the Magnificent 7: Nvidia, Microsoft, Meta (NASDAQ:META), Apple, Tesla (NASDAQ:TSLA), Amazon and Alphabet, the parent company of Google.
To date, Microsoft has committed US$13 billion to OpenAI, and both Alphabet and Amazon are reputable, publicly traded companies that have subsidiary services with generative AI capabilities.
There are also investment opportunities in generative AI, arguably the field's most exciting sector, as evidenced by the reception to OpenAI’s ChatGPT platform. While you can’t yet directly invest in OpenAI, you can invest in companies that are pouring money into generative AI research.
Chipmakers such as TSMC, Broadcom and Qualcomm are options for investors looking to invest in the hardware components needed for AI.
For a list of the biggest US, Canadian and Australian AI stocks by market cap, click here.
If, however, you’re new to investing or AI, an AI ETF might be the simplest way to invest in AI. Some of the most successful AI ETFs are the Global X Robotics and Artificial Intelligence Thematic ETF (NASDAQ:BOTZ), the ARK Autonomous Technology + Robotics ETF (BATS:ARKQ) and the iShares Robotics and Artificial Intelligence ETF (ARCA:IRBO).
For a detailed description of each ETF and more AI ETF ideas, click here.
This is an updated version of an article first published by the Investing News Network in 2023.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
Tech 5: OpenAI Releases "Reasoning" AI Model, Google Goes to Court in Antitrust Case
Tech stocks rallied this week on the back of interest rate cut expectations in the US.
Meanwhile, OpenAI released a new artificial intelligence (AI) model that's rumored to be capable of advanced reasoning skills, and Apple's (NASDAQ:AAPL) unveiling of its latest products failed to drum up investor enthusiasm.
Elsewhere Bitcoin passed US$60,000, and Google (NASDAQ:GOOGL) is heading back to court, this time to defend itself from accusations that it used its power to dominate the ad tech space.
Stay informed on the latest developments in the tech world with the Investing News Network's round-up.
1. Wall Street ends week on a high note
Wall Street was quiet on Monday (September 9) after Friday’s (September 13) employment report left investors wondering if the US Federal Reserve will issue aggressive rate cuts when it meets from September 17 to 18.
The Nasdaq Composite (INDEXNASDAQ:.IXIC) opened a modest 0.88 percent ahead of Friday’s close. The S&P 500 (INDEXSP:.INX) also opened higher, 0.62 percent ahead of Friday’s close.
The indexes saw gains of 0.29 and 0.53 by the day’s end, respectively.
Markets were equally subdued on Tuesday (September 10) as traders awaited the midweek release of US inflation data for August, as well as the debate between presidential candidates Donald Trump and Kamala Harris. All indexes dipped in midday trading, with the Nasdaq Composite falling the most, 1.32 percent below its opening price; it closed flat.
Wednesday’s US consumer price index (CPI) report shows the index for all items excluding food and energy increased 0.3 percent in August compared to 0.2 percent in July, an indication that inflation is increasing.
However, for the 12 months ended in August, the all-items index rose by 2.5 percent, its smallest increase since February 2021, suggesting that prices are rising at a slower pace. The mixed message led to a brief dip across the board, but a rally in tech stocks, led by a 7 percent rally in NVIDIA's (NASDAQ:NVDA) share price.
NVIDIA performance, September 9 to 13, 2024.
Chart via Google Finance.
Thursday’s (September 12) release of the August producer price index (PPI) shows wholesale prices rose 0.2 percent for the month, in line with Dow Jones estimates. The core rate — the producing price of everything other than food and energy — followed the CPI core rate, rising 0.3 percent, slightly more than the 0.2 percent forecast.
Initial unemployment claims were also ahead of estimates at 230,000 for the week ended on September 7.
With the final inflation report before the Fed's meeting next week in the books, all major indexes experienced notable gains. The Nasdaq Composite advanced by 1 percent, while the S&P 500 saw growth of 0.75 percent. The Russell 2000 was the winner of the day, advancing by 1.22 percent at the closing bell.
The market surged further on Friday after reports from the Financial Times and Wall Street Journal fueled optimism that the Fed may implement a rate cut of 50 basis points after it meets next week.
Leading the charge was the Russell 2000, which ended the day 2.49 percent higher.
2. Bitcoin price ends week above US$60,000
Bitcoin was stable over the weekend, holding steady in the US$54,000 to US$55,000 range.
As the trading week commenced, the cryptocurrency was pushed higher by events like the CPI reading and the presidential debate. It peaked on Monday at US$57,635 at around 6:00 p.m. EDT.
Broker Bernstein said in a Monday market report that a Trump victory could result in Bitcoin’s price reaching a US$90,000 valuation, compared to a price range of between US$30,000 and US$40,000 if Harris wins.
Ahead of Tuesday's debate, Bitcoin advanced 1.59 percent during market hours, only to see a retreat to US$56,247 overnight after neither candidate mentioned cryptocurrencies. Blockchain betting site Polymarket had assigned a 19 percent chance that Trump would talk about Bitcoin, compared to a 9 percent chance that Harris would.
A poll conducted by CNN shows 63 percent of viewers believe that Harris outperformed Trump — a shift from when Trump faced off against President Joe Biden. With a Trump victory looking less solid and the future regulatory environment still uncertain, Bitcoin’s price retreated further to US$55,901 on Wednesday (September 11) morning.
Since Wednesday’s PPI data release, Bitcoin has experienced volatility, but maintained an upward trajectory, breaking above US$58,200 for the first time since September 1 in the hours before midnight on Thursday. It went on to trade between US$57,600 and US$58,300 during market hours and held steady overnight.
Bitcoin rallied alongside the stock market on Friday, breaking above US$60,000 for the first time since August 29. At the time of this writing, it was trading for US$60,557.20, marking a 4.3 percent increase from its price 24 hours ago and a 13.7 percent rise over the past seven days.
3. OpenAI launches rumored "Strawberry" model
It was a busy week for OpenAI, the world’s most valuable startup. On Tuesday, the Information reported that sources working with the company's newest AI model, nicknamed Strawberry, said it would be released in two weeks.
Reuters first reported on the model, which was designed to deliver advanced reasoning capabilities, in July.
Two days later, OpenAI announced a preview of OpenAI o1, the first in a series of AI models that will “spend more time thinking before they respond.” These models will be able to solve more complex problems in math, science and coding.
In a press release, the company compared OpenAI o1 to its most recently released AI model, GPT-4o.
“In a qualifying exam for the International Mathematics Olympiad, GPT-4o correctly solved only 13 percent of problems, while the reasoning model (OpenAI o1) scored 83 percent," OpenAI said.
While testing its coding abilities, the company also claimed that the software reached the 89th percentile in the Codeforces competition. Detailed reports of trials are posted on OpenAI’s website.
While OpenAI o1 demonstrates AI reasoning capabilities, the software's inability to browse the web for information limits its utility for consumers compared to ChatGPT. “But for complex reasoning tasks this is a significant advancement and represents a new level of AI capability,” the company explained.
Also this week, Bloomberg reported that OpenAI is looking to raise US$6.5 billion via a new fundraising endeavor that would increase its value to US$150 billion if successful.
4. Google faces off against DOJ in antitrust trial
Google’s second antitrust trial in the US this year kicked off in Virginia on Monday.
This trial relates to charges filed by the US Department of Justice (DOJ) accusing the company of “anticompetitive and exclusionary conduct” to control advertising tech tools in January 2023.
Prosecutors said Google used its influence to control competitors and customers, and dominate the online advertising ecosystem. “Google’s isn’t here because they are big,” DOJ lawyer Julia Tarver Wood said in opening statements Monday, according to the Wall Street Journal. “They are here because they use that size to crush competition.”
Google is arguing that the DOJ’s case is based on a narrow view of advertising on the internet, and says it has contended with competition for ad tech space from companies such as Comcast (NASDAQ:CMCSA), Microsoft (NASDAQ:MSFT), Walmart (NYSE:WMT), Meta Platforms (NASDAQ:META) and Disney (NYSE:DIS).
Shares of Google were down 2.86 percent before noon on Monday.
The case will likely not be resolved for several months, but if the presiding judge sides with the DOJ, the company may be forced to sell off Google Ad Manager. Google advertising earned the company US$64.62 million in Q2.
5. Apple fans underwhelmed by iPhone 16
Apple’s “It’s Glowtime” event was held on Monday at the company’s headquarters in Cupertino, California.
The firm unveiled its newest lineup of iPhones: the iPhone 16, 16 Plus, 16 Pro and 16 Pro Max, all powered by an Apple A18 chip, which was developed with Softbank Group (TSE:9984) subsidiary Arm's V9 chip design.
The company also introduced its newest Apple Watch Series 10, along with updates to the Apple Watch Ultra 2 and a new lineup of AirPods. In addition, it added features to its AirPods Pro 2 series, including hearing protection and hearing aid software, the first over-the-counter hearing aid to be authorized by the US Food and Drug Administration.
The product launch itself was largely thought to be “underwhelming,” with few changes made to the iPhone's hardware apart from a new Camera Control button that enables users to control more features in the camera app. Critics also complained about the limited access to Apple Intelligence, which will only become available in beta to US iPhone 15 Pro, 15 Pro Max or 16 users — as well as select iPad and Mac models — in October.
Hours after the "It's Glowtime" event, Apple was forced to contend with the release of Huawei Technologies' newest phone, the Mate XT tri-foldable, which comes with an AI assistant, hours after Apple’s event. Strict data privacy restrictions in China prevent Apple from rolling out Apple Intelligence in Mainland China.
Apple was dealt another blow on Tuesday, when the European Court of Justice ruled that it must pay 13 billion euros in back taxes to Ireland, concluding a 10 year court battle that began when the European Commission accused Ireland of giving Apple illegal tax benefits and ordered to country to collect.
Despite the ups and downs, Apple shares ended the week up 0.71 percent at US$222.50.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Meagen Seatter, hold no direct investment interest in any company mentioned in this article.
Biren Technology Embarks on IPO Path Amid US Trade Sanctions
Biren Technology, a Chinese artificial intelligence (AI) chip developer seen as a potential rival to industry leader NVIDIA (NASDAQ:NVDA), is making preparations for an initial public offering (IPO).
The South China Morning Post reported that the Shanghai-based company has recently begun the IPO process by enlisting the services of Guotai Junan Securities, one of the largest brokerage firms in China.
The IPO preparations, referred to as the “tutoring” process, are mandatory for companies in China before they file for a public listing. The news outlet notes that this phase typically lasts between three and 12 months, depending on the complexity of the company’s business and its compliance with regulatory requirements.
Biren Technology was founded in 2019 by Zhang Wen, a veteran of the semiconductor industry, and has positioned itself as a leader in the production of graphics processing units (GPUs) designed for AI applications.
The company launched its first high-performance chip, the BR100, in 2022. The BR100 made waves, particularly in the US, over claims it had broken computing power records. However, the chip is no longer listed on Biren’s website, and its current product lineup focuses on the Bili series of GPUs, which are now in mass production.
Biren is one of several Chinese companies attempting to fill the gap left by NVIDIA and Advanced Micro Devices (NASDAQ:AMD), which are barred from selling their most advanced chips to Chinese firms due to US export controls.
Reports show that the firm has secured more than US$780 million across eight funding rounds, with a significant portion of this money coming from venture capital firm HongShan (formerly Sequoia China).
Trade blacklist could derail Biren’s momentum
Despite its ambitions to go up against NVIDIA, Biren's path forward hasn't been without obstacles. It's faced commercial roadblocks due to its inclusion on the US Department of Commerce's trade blacklist.
This designation has prevented Biren from collaborating with major semiconductor players like Taiwan Semiconductor Manufacturing Company (NYSE:TSM,TPE:2330), which would typically produce its chips.
At the same time, Biren's efforts to raise capital through an IPO come as China is pushing to reduce its dependence on foreign technology. The Chinese government has prioritized the development of its semiconductor industry, offering substantial state support to companies like Biren. Concerns have been raised about the sector’s heavy reliance on state-backed investments, which some industry experts arguing it could pose risks to long-term sustainability.
Currently, neither Biren nor the China Securities Regulatory Commission has disclosed details regarding the potential location for the listing or the target amount for fundraising.
Don’t forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
Blinklab Signs Partnership for Clinical Trial with European INTER-PSY, Supporting US and EU Regulatory Approval and Future Market Adoption
Partnership with INTER-PSY to run a prospective clinical trial on early-diagnosis of autism.
BlinkLab Limited (ASX:BB1) (“BlinkLab” or the “Company”), an innovative digital healthcare company developing smartphone-based AI powered sensory assessments to aid in the diagnosis of neurodevelopmental conditions including autism and ADHD, is pleased to announce a research and clinical partnership with the INTER-PSY (“Agreement”) in the Netherlands (https://interpsy.interpsygroep.nl/).
Highlights
- Prospective clinical data in young children with autism will optimise BlinkLab’s experimental and AI algorithms.
- Partnership will accelerate BlinkLab’s path to US and European regulatory approval for autism and clinical adoption.
- Partnership will support adoption of BlinkLab as a diagnostic tool within the autism diagnostic community in Europe.
- As part of the larger SCANNER consortium in Europe, this study will also specifically address a need for accelerated autism diagnosis in females.
- Commencement of FDA 510(k) registration trial on track for later this year.
As part of the Agreement, INTER-PSY will run a prospective study on the ability of the BlinkLab app to aid in diagnosis of autism in children between 2-6 years of age that are referred to INTER-PSY. By analysing the behavioural and physiological responses collected via the app, BlinkLab will aim to identify autism characteristics, potentially offering patients a more rapid, accessible and objective assessment method.
Through this partnership, INTER-PSY will use BlinkLab’s technology to evaluate whether the technology can enhance their diagnostic accuracy and efficiency in the clinic. This partnership between BlinkLab and INTER-PSY demonstrates the potential of an AI mobile health platform to improve and accelerate mental health diagnostics.
INTER-PSY Study and Preparations for FDA 510(k) Regulatory Trial
The INTER-PSY study, which mirrors the design of the upcoming FDA regulatory trial, will be conducted as a single-site, prospective, double-blind, within-subject comparison study (pre- registered). Data gathered from this collaboration will be pivotal in refining the final experimental parameters and optimising machine learning algorithms for BlinkLab’s 510(k) FDA registrational study, specifically targeting diagnostic applications. INTER-PSY is a large autism expertise centre in the Netherlands, offering diagnostics, guidance, and treatment for young children, adolescents, adults, and the elderly with psychological and psychiatric complaints.
Els Blijd-Hogewys, INTER-PSY, commented:
“INTER-PSY is committed to supporting young children with autism in an efficient and effective manner. Our goal is to implement a ‘no waiting time policy’ between diagnosis and the start of therapy, working collaboratively with clients to help them take control of their lives and minimise the impact of autism on daily tasks. Integrating objective measurements can help in the diagnostic process, offering significant benefits to children, their families, and our providers. We believe that BlinkLab's innovative AI platform presents a promising solution for sensory assessments in autism, delivering a short, pleasant and child-friendly test experience. Research will be conducted at INTER-PSY's Expertise Team for Young Children (<6 years). In the future, the instrument could also be valuable for adults with autism.
Unfortunately, the waiting lists for autism assessment for adults in the Netherlands are often as long as 2 to 3 years. Such an instrument may help accelerate this process.”
Mr. Brian Leedman, Chairman BlinkLab, commented:
“Australia has comparable wait times for diagnosis of autism as experienced in Europe and the US. Our BlinkLab technology has the potential to significantly reduce wait times through early diagnosis resulting in treatment at a formative age where early intervention can lead to better outcomes for children and their caregivers.”
Dr. Henk-Jan Boele, CEO BlinkLab, commented:
“Our collaboration with INTER-PSY is one of the final steps in the prospective validation of BlinkLab’s platform before we commence our FDA registration trial later this year. I’m deeply appreciative of INTER-PSY’s partnership on this critical journey. As part of the large SCANNER consortium in Europe, this study with INTER-PSY will also specifically address autism diagnosis in females. Our BlinkLab team is in the final phase of fine-tuning our AI models and algorithms to ensure they meet the highest standards of accuracy, safety, and efficiency. We remain fully committed to executing our strategy and delivering long-term value to all our stakeholders.”
About the SCANNER Consortium
The SCANNER Consortium in Europe, of which BlinkLab is a member, was recently awarded with a 5.3M Euros grant from the Dutch Research Council. The mission of this consortium is to investigate sex differences in autism at a gene, brain and behaviour level. Autism is diagnosed four times more often in men than in women (Autism Spectrum Disorder, APA, 2013). However, little is known about the biological mechanisms behind this disparity, or to what extent this overrepresentation in males is due to bias in the medical research that is also present during the diagnostic process.
Historically, female participants have often been excluded from medical studies, resulting in data being collected primarily from men and generalised to women (Merone et al., 2022).
Similar biases are present in basic research, where men are overrepresented due to the lack of the estrus cycle, resulting in a large gap in our basic biological and clinical knowledge.
This translates into real-life disadvantages for women with neurodivergent conditions, as doctors often ignore the behaviours presented by women. This means that women are less likely to be referred for diagnostic tests and receive timely support, with long-lasting negative consequences for their quality of life. It is therefore crucial to involve women at all levels of research.
Dr. Aleksandra Badura, Lead Investigator SCANNER, commented:
“Within SCANNER we aim to understand how genetic, neurophysiological and behavioural sex differences contribute to autistic traits, and distinguish these biological factors from possible diagnostic bias. Our long-term goal is to improve the diagnostic process for autism and other neurodivergent disorders by taking sex differences into account at all levels of research and diagnosis.”
In addition to INTER-PSY, BlinkLab collaborates in the SCANNER Consortium with Vrije Universiteit Amsterdam; Karakter - Academic Center for Child and Adolescent Psychiatry; Radboud University; Medical Center, Radboud University; Universiteit Utrecht; HAS green academy; Erasmus MC; Netherlands Institute for Neuroscience; Nivel – Netherlands Institute for Health Services Research; University of Twente; Philips Medical Systems Nederland B.V. (Philips MR); Nederlandse Vereniging voor Autisme; Arivis, Noldus Information Technology; Sophia Foundation; WOMEN Inc.; Female Autism Network of the Netherlands; Netherlands Autism Register; Generation R; National association of general practice mental health professionals; Alliantie Gender & Gezondheid; National network autism in young children; National network of child and adolescent psychiatry; Special Olympics Netherlands.
Click here for the full ASX Release
This article includes content from Blinklab Limited, licensed for the purpose of publishing on Investing News Australia. This article does not constitute financial product advice. It is your responsibility to perform proper due diligence before acting upon any information provided here. Please refer to our full disclaimer here.
Ex-OpenAI Leader Raises US$1 Billion for Safety-focused AI Startup
Safe Superintelligence (SSI), a startup co-founded by former OpenAI Chief Scientist Ilya Sutskever, has secured US$1 billion in seed funding to develop advanced artificial intelligence (AI) systems focused on safety.
Reuters reported that the funding round, led by venture capital firms Andreessen Horowitz, Sequoia Capital, DST Global and SV Angel, has raised the value of the three month old company to an estimated US$5 billion.
The funds will be used to acquire computing power and recruit top engineering and research talent. Currently, SSI has 10 employees and operates out of offices in Palo Alto, California, and Tel Aviv, Israel.
SSI's mission is to create safe super-intelligent AI systems that won't cause harm to humans.
Aside from Sutskever, the fledgling company's leadership team includes Daniel Gross, former head of AI initiatives at Apple (NASDAQ:AAPL), and Daniel Levy, previously a researcher at OpenAI. Levy serves as principal scientist at SSI, while Gross handles fundraising and computing infrastructure.
Gross emphasized that the company’s singular focus on long-term AI safety will allow it to operate without the pressure of immediate profitability. "It's important for us to be surrounded by investors who understand, respect and support our mission, which is to make a straight shot to safe superintelligence and in particular to spend a couple of years doing R&D on our product before bringing it to market," he explained to Reuters on Wednesday (September 4).
Sutskever founded SSI after leaving OpenAI in May. He had played a key role in its alignment efforts, leading the "Superalignment" team that was tasked with ensuring AI systems remained in line with human values.
He left after internal disagreements at OpenAI that saw CEO Sam Altman ousted and quickly reinstated. After Sutskever and fellow team leader Jan Leike’s exit, OpenAI disbanded the Superalignment team.
Despite a slowdown in AI investment due to concerns about long-term profitability, SSI’s successful funding round underscores the continued willingness of some investors to back projects led by well-known technologists.
One of SSI's priorities is to hire a small, highly trusted team of engineers and researchers. Gross said the hiring process focuses not just on technical ability, but also on character and alignment with the company’s culture.
In addition to securing top talent, SSI expects to eventually secure partnerships with cloud service providers and chip manufacturers to address its computing needs. While the company has not yet provided specifics, major tech players like Microsoft (NASDAQ:MSFT) and NVIDIA (NASDAQ:NVDA) have historically supported AI infrastructure for similar ventures, providing the computing power necessary for large-scale AI development.
OpenAI is also in the midst of raising billions of dollars in a new funding round, with major investors such as Microsoft, NVIDIA and Apple reportedly in talks to invest in the AI giant.
Don't forget to follow us @INN_Technology for real-time updates!
Securities Disclosure: I, Giann Liguid, hold no direct investment interest in any company mentioned in this article.
How to Invest in OpenAI's ChatGPT (Updated 2024)
OpenAI’s ChatGPT is one of the latest technological breakthroughs in the artificial intelligence space. But what is ChatGPT, and can you invest in OpenAI? Read on to learn about its history — including its controversies — how to get investment exposure to OpenAI and other stocks you can buy in the generative AI space.
This emerging technology is representative of a niche subsector of the AI industry known as generative AI — systems that can generate text, images or sounds in response to prompts given by users.
Precedence Research expects the global AI market to grow at a compound annual growth rate (CAGR) of 19 percent to reach US$2.57 trillion by 2032. Just how much of an impact OpenAI’s ChatGPT will have on this space is hard to predict, but S&P Global suggested in December 2023 that the total market revenue of generative AI as a whole will see a CAGR of 57.9 percent through 2028, increasing from US$3.7 billion last year to US$36.36 billion in 2028.
“With the launch of ChatGPT late in 2022, the true scale of its disruptive potential was more realized across the world in 2023,” said Naseem Husain, senior vice president and exchange-traded fund (ETF) strategist at Horizons ETFs. “Its success has sparked a wave of generative and chat AI models, from Midjourney to Grok.”
Of course, OpenAI has also generated a lot of controversy, such as fears over job destruction and targeted disinformation campaigns. And let’s not forget the odd and abrupt, however brief, ousting of OpenAI CEO Sam Altman.
Many lawsuits have emerged as well. Multiple news outlets, including the the New York Times, have launched copyright lawsuits against OpenAI, and some of the plaintiffs are also seeking damages from the private tech firm’s very public partner Microsoft (NASDAQ:MSFT).
Additionally, the Authors Guild, which represents a group of prominent authors, launched a class-action lawsuit against OpenAI that is calling for a licensing system that would allow authors to opt out of having their books used to train AI, and would require AI companies to pay for the material they do use.
None of the controversy has curbed enthusiasm for investing in OpenAI, which, as of August 29, is reportedly on the verge of launching a new round of funding projected to bring its valuation to more than US$100 billion. Tech giants Apple (NASDAQ:AAPL) and NVIDIA (NASDAQ:NVDA) are rumored to want in on the round, as is its partner Microsoft.
With all of that said, there's still a lot of excitement surrounding generative AI technology. Many investors are wondering if it's possible to invest in ChatGPT stock, and if there are other ways to invest in generative AI. Here the Investing News Network (INN) answers those questions and more, shedding light on this new landscape.
What is OpenAI's ChatGPT?
Created by San Francisco-based tech lab OpenAI, ChatGPT is a generative AI software application that uses a machine learning technique called reinforcement learning from human feedback (RLHF) to emulate human-written conversations based on a large range of user prompts. This kind of software is better known as an AI chatbot.
ChatGPT learns language by training on texts gleaned from across the internet, including online encyclopedias, books, academic journals, news sites and blogs. Based on this training, the AI chatbot generates text by making predictions about which words (or tokens) can be strung together to produce the most suitable response.
More than a million people engaged with ChatGPT within the first week of its launch for free public testing on November 30, 2022. Many were in awe of the chatbot’s seemingly natural language capabilities, not only in terms of understanding questions, but also because of its human-like responses. Users felt as if they were having a conversation with a human.
Besides being an excellent conversation partner, ChatGPT can write engaging short stories, develop catchy marketing materials, solve complicated math problems, and even create code in various programming languages.
Based on this success, OpenAI created a more powerful version of the ChatGPT system called GPT-4, which was released in March 2023. This iteration of ChatGPT can accept visual inputs, is much more precise and can display a higher level of expertise in various subjects. Because of this, GPT-4 can describe images in vivid detail and ace standardized tests.
Unlike its predecessor, GPT-4 doesn't have any time limits on what information it can access; however, AI researcher and professor Dr. Oren Etzioni has said that the chatbot is still terrible at discussing the future and generating new ideas. It also hasn't lost its tendency to deliver incorrect information with too high a degree of confidence.
Further improving on its product, in May 2024 OpenAI launched Chat GPT-4o, with the o standing for omni. OpenAI describes GPT-4o as "a step towards much more natural human-computer interaction—it accepts as input any combination of text, audio, image, and video and generates any combination of text, audio, and image outputs."
This version has done away with the lagging response time afflicting GPT-4. This proves especially helpful for producing immediate translations during conversations between speakers of different languages. It also allows users to interrupt the chatbot to pose a new query to modify responses.
Why is Microsoft investing in OpenAI?
Ascannio / Shutterstock
Since 2019, Microsoft has invested at least US$3 billion in OpenAI to help the small tech firm create its ultra-powerful AI chatbot, as reported by New York Times technology correspondents Cade Metz and Karen Weise.
Microsoft announced in mid-January 2023 that as part of the third phase of its partnership with OpenAI, it will make "a multiyear, multibillion dollar investment." Although the company hasn't disclosed the total amount of its latest spend, reports at the time indicated that US$10 billion is on the table.
According to a February article from Reuters, OpenAI was valued at US$80 billion, meaning Microsoft's US$10 billion move would be huge. However, as of late 2023 there were rumors that OpenAI has only received a fraction of that purported investment.
As mentioned in the intro, Microsoft is reported to be interested in participating in OpenAI's rumored upcoming funding round as well.
How could Microsoft benefit from its investment? It seems the tech giant is hopeful advancements in generative AI may increase revenues for its Azure cloud computing business, as OpenAI officially licensed its technologies to Microsoft in 2020. Indeed, Pitchbook has described the deal as an “unprecedented milestone” for generative AI technology.
The strength of Microsoft’s confidence in OpenAI’s Altman was definitely on display in late November, when it quickly moved him to the payroll of its advanced AI research team after he was fired from OpenAI. Barely a week passed before Altman was back at the helm of OpenAI with major board changes, including the addition of Dee Templeton, Microsoft's vice president of technology and research partnerships and operations, as a non-voting observer.
What is Elon Musk's relationship to OpenAI?
DIA TV / Shutterstock
OpenAI was founded in 2015 by Altman, its current CEO, as well as Tesla's (NASDAQ:TSLA) Elon Musk and other big-name investors, such as venture capitalist Peter Thiel and LinkedIn co-founder Reid Hoffman. Musk left his position on OpenAI's board of directors in 2018 to focus on Tesla and its pursuit of autonomous vehicle technology.
A few days after ChatGPT became available for public testing, Musk took to X, formerly known as Twitter, to say, “ChatGPT is scary good. We are not far from dangerously strong AI.” That same day, he announced that X had shut the door on OpenAI’s access to its database so it could no longer use it for RLHF training.
His reason: “OpenAI was started as open-source & non-profit. Neither are still true.”
Furthering his feud with OpenAI, Musk filed a lawsuit against the company in March 2024 for an alleged breach of contract. The crux of his complaint was that OpenAI has broken the "founding agreement" made between the founders (Altman, Greg Brockman and himself) that the company would remain a non-profit. Altman and OpenAI have denied there was such an agreement and that Musk was keen on an eventual for-profit structure.
Musk dropped the lawsuit three months later without giving a reason, reported Reuters. The day before he dropped the lawsuit, he reacted to the news that Apple is partnering with OpenAI to incorporate ChatGPT with Apple devices. On X, Musk declared, "If Apple integrates OpenAI at the OS (operating system)level, then Apple devices will be banned at my companies. That is an unacceptable security violation.” It should be noted that OpenAI has said queries completed on Apple devices will not be stored by OpenAI.
Is ChatGPT revolutionary or hype?
Is ChatGPT a revolutionary technology or just another hyped-up tech fad that will flop, much in the way of Google Glass or the Segway? It may be too early to tell, but as with any new technology, there are plenty of wrinkles to iron out.
One of the most challenging bugs to fix before ChatGPT can be deployed more widely is the chatbot’s propensity to respond with “plausible-sounding but incorrect or nonsensical answers," admits OpenAI.
Remember, its selection of which words to string together are actually predictions — not as fallible as mere guesses, but still fallible. Even the 4.0 version is “still is not fully reliable (it “hallucinates” facts and makes reasoning errors),” says the company, which emphasizes that users should exercise caution when employing the technology.
Indeed, ChatGPT's failings can have dangerous real-life consequences. Among other negative applications, the tech can be used to spread misinformation, carry out phishing email scams or write malicious code. What’s more, the AI-based technology is prone to racial and gender-based biases. Not only has this language learning model contributed to the human-like quality of its responses, but it has also picked up on some of humanity’s shortcomings.
“ChatGPT was trained on the collective writing of humans across the world, past and present. This means that the same biases that exist in the data, can also appear in the model,” explains Garling Wu, staff writer for online technology publication MUO, in a September 2023 article. “In fact, users have shown how ChatGPT can give produce some terrible answers, some, for example, that discriminate against women. But that's just the tip of the iceberg; it can produce answers that are extremely harmful to a range of minority groups.”
On the flip side, an August 2023 study by the University of East Anglia identified a left-wing bias in ChatGPT. Researchers at the school said their work shows that ChatGPT "favors Democrats in the U.S., the Labour Party in the U.K., and president Lula da Silva of the Workers’ Party in Brazil," according to Forbes.
There’s also the fear among teachers that the technology is leading to an unwelcome rise in academic dishonesty, with students using ChatGPT to write essays or complete their science homework.
“Teachers and school administrators have been scrambling to catch students using the tool to cheat, and they are fretting about the havoc ChatGPT could wreak on their lesson plans,” writes New York Times tech columnist Kevin Roose.
Cybersecurity risks are also a concern for ChatGPT users, and recent events along these lines add validity to Musk's warning. For one, ChatGPT for macOS was discovered to be breaching Apple's security rules by storing data as plain text rather than encryption, making it possible for other apps to access.
What's the future of OpenAI and ChatGPT?
The ChatGPT 3.5 platform is free to use, and can be accessed via the web. Those with an iPhone or iPad can also use ChatGPT through an app, and an Android version launched in July 2023. OpenAI also launched a paid subscription, ChatGPT Plus for business use, in August 2023. ChatGPT Plus gives users access to GPT-4, and the newest iteration GPT-4o.
In addition to Microsoft's use of the ChatGPT technology as part of Copilot, other companies are working with OpenAI to incorporate the technology into their platforms, including Canva, Duolingo (NASDAQ:DUOL), Intercom, Salesforce (NYSE:CRM), Scale, Stripe, and Upwork (NASDAQ:UPWK).
As uptake increases, generative AI technology is replacing humans in the workplace, and will likely continue doing so in a number of fields, from content creation and customer service to transcription and translation services, and even in graphic design and paralegal fields. However, humans are hitting back, as evidenced by recent lawsuits launched against OpenAI and Microsoft. As mentioned, a growing group of prominent authors is suing the creator of ChatGPT and its financial backer for infringing on their copyright by using their books without permission to train the language models behind ChatGPT and other AI-based software.
The New York Times has also taken a stand by taking OpenAI and Microsoft to Manhattan Federal Court.
"Defendants seek to free-ride on the Times's massive investment in its journalism by using it to build substitutive products without permission or payment," states the complaint. "There is nothing 'transformative' about using the Times's content without payment to create products that substitute for the Times and steal audiences away from it."
Scarlett Johansson has also entered the ChatGPT legal minefield after she discovered OpenAI using what she claims is her voice for its chatbot personal assistance voice, Sky. CEO Sam Altman, however, has denied using her voice without permission.
“The voice of Sky is not Scarlett Johansson's, and it was never intended to resemble hers. We cast the voice actor behind Sky’s voice before any outreach to Ms. Johansson,” Altman said in a May 20, 2024 statement. “Out of respect for Ms. Johansson, we have paused using Sky’s voice in our products. We are sorry to Ms. Johansson that we didn’t communicate better.”
What about the long-term goals for OpenAI and ChatGPT? Metz of the New York Times believes the end game is “artificial general intelligence, or AGI — a machine that can do anything the human brain can do.”
In keeping with this end goal, OpenAI made a major move by acquiring an AI creative firm with a deep talent bench, Global Illumination, in mid-August 2023. "Global Illumination is a company that has been leveraging AI to build creative tools, infrastructure, and digital experiences," states OpenAI on its website.
"The team previously designed and built products early on at Instagram and Facebook and have also made significant contributions at YouTube, Google, Pixar, Riot Games, and other notable companies."
In November 2023, OpenAI decided to give customers without coding skills the ability to create customized versions of its chatbot and access to large data sets for training. “OpenAI wants people to start innovating using the chatbots and creating special chatbots,” Hod Lipson, an engineering and data science professor at Columbia University, told CNBC.
Chatbot creators will eventually have the ability to share their custom chatbots through OpenAI’s GPT Store. “They’re really trying to create a marketplace, which will allow companies and people to innovate and play around with this incredible form of AI that they’ve just unleashed,” Lipson added.
What is Google's Gemini?
While ChatGPT has been generating major buzz, it's definitely not the only chatbot out there.
Notably, Alphabet (NASDAQ:GOOGL) subsidiary Google launched its answer to ChatGPT in March 2023. Originally known as Bard AI, the chatbot is built on Google’s Language Model for Dialogue Applications (or LaMDA). Google CEO Sundar Pichai has described Bard as an “experimental conversational AI service … (that) seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of our large language models.”
As with ChatGPT, users can key in a query, request or prompt and it will provide a human-like response. One way in which Google's chatbot may have had a leg up on the original ChatGPT is that the latter could only use data up to 2021, while the former can access up-to-date information online; this is less relevant now that GPT-4 no longer has this limitation.
However, this ability to access current data hasn’t spared it from ChatGPT’s biggest folly: confidently stating misinformation as fact. The Verge reported that when asked about new discoveries from the James Webb Space Telescope, Google’s chatbot “made a factual error in its very first demo.”
In early in 2024, Google launched the latest iteration of its Bard Advanced AI chatbot with a new name, Gemini AI. The new version is powered by Google's Gemini Ultra large language model.
Which stocks will benefit the most from AI chatbot technology?
While most companies specializing in generative AI remain in the venture capital stage, there are plenty of AI stocks for those interested in the space. INN's article 5 Canadian Artificial Intelligence Stocks, ASX AI Stocks: 5 Biggest Companies, and 12 Generative AI Stocks to Watch as ChatGPT Soars includes some examples.
Other than companies directly tied to generative AI technology, which stocks are likely to get a boost from advances?
There are several verticals in the tech industry with indirect exposure to AI chatbot technology, such as semiconductors, network equipment providers, cloud providers, central processing unit manufacturers and internet of things.
Some of the publicly traded companies in these verticals include:
- Graphics processing unit leader Nvidia
- The world's largest semiconductor chip manufacturer by revenue, Taiwan Semiconductor Manufacturing Company (NYSE:TSM)
- Computer memory and data storage producer Micron Technology (NASDAQ:MU)
- Digital communications firm Cisco Systems (NASDAQ:CSCO)
- Networking products provider Juniper Networks (NYSE:JNPR)
- Semiconductor producer Marvell Technology Group (NASDAQ:MRVL)
- Cloud-computing Amazon Web Services' parent company Amazon (NASDAQ:AMZN)
- Bluechip multinational technology company IBM (NYSE:IBM)
- Major semiconductor chip manufacturer Intel (NASDAQ:INTC)
Investors who don’t like to put all their eggs in one basket can check out these 5 Artificial Intelligence ETFs. And if you’re looking for a more general overview of the market, INN has you covered with How to Invest in Artificial Intelligence. You can also take a look back at the market in 2023 with our AI Market 2023 Year-End Review, or read projections for AI this year in our AI Market Forecast: 3 Top Trends that will Affect AI in 2024. Generative AI is also a major theme in the Top 10 Emerging Technologies to Watch in 2024.
FAQs for investing in OpenAI and ChatGPT
When will OpenAI go public?
OpenAI stock is not currently publicly traded and as of early July 2024, there are no plans for an OpenAI IPO on the horizon. For now, investors can gain exposure through related tech companies discussed here.
For example, if Microsoft does take a large position in the company, investors will be able to gain indirect exposure to OpenAI by purchasing Microsoft shares. For those seeking direct exposure, be on the lookout for news of an initial public offering (IPO).
How is OpenAI funded?
OpenAI raised US$11.3 billion over six funding rounds from 2016 to January 2024.
The three top investors are technology investment firm Thrive Capital, venture capital firm Andreessen Horowitz and revolutionary technology investment firm Founders Fund.
As reported above, OpenAI may soon initiate a new round of funding worth a projected US$100 billion, with potential participation by Apple and NVIDIA.
What is the market value of ChatGPT/OpenAI?
OpenAI has a market valuation of US$80 billion as of February 2024. The company’s 2023 revenue had reached US$2 billion mark in December 2023 to join the ranks of Google and Meta (NASDAQ:META). OpenAi's annualized revenue reached US$3.4 billion in May 2024.
Does ChatGPT use Nvidia chips?
ChatGPT’s distributed computing infrastructure depends upon powerful servers with multiple graphics processing units (GPUs). High-performance Nvidia GPU chips are preferred for this application as they also provide excellent Compute Unified Device Architecture support.
Will ChatGPT cause another GPU shortage?
ChatGPT and generative AI will most likely not cause a GPU shortage. The type of GPUs used for machine learning models like ChatGPT are different from other types of GPUs, including those used to power gaming systems or crypto mining.
Can ChatGPT make stock predictions?
A University of Florida study recently highlighted the potential for advanced language models such as ChatGPT to accurately predict movements in the stock market using sentiment analysis.
During the course of the study, ChatGPT outperformed traditional sentiment analysis methods, and the finance professors conducting the research concluded that “incorporating advanced language models into the investment decision-making process can yield more accurate predictions and enhance the performance of quantitative trading strategies.”
When to expect ChatGPT 5?
OpenAI filed a trademark application for ChatGPT-5 in mid-July 2023, which hinted that the next iteration of the generative AI technology is currently under development. There were rumors the company planned to complete training for ChatGPT-5 by the end of 2023, but this did not materialize.
PC Guide noted in April 2024 that Sam Altman had teased an “amazing new model this year" in a March 2024 interview on the Lex Fridman podcast. More recently, tech writer Suswati Basu shared that OpenAI confirmed in a May 28 blog that a new model is in the works, and she predicts an expected release in late 2024 or early 2025.
This is an updated version of an article first published by the Investing News Network in 2023.
Don't forget to follow us @INN_Technology for real-time news updates!
Securities Disclosure: I, Melissa Pistilli, hold no direct investment interest in any company mentioned in this article.
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