This echoes an earlier deal the platform had with Google, reportedly valued at $60 million, and permits OpenAI to integrate Reddit chats into ChatGPT and other new products.
Through the collaboration, OpenAI will be able to more thoroughly sample the datasets used to train their models, which will improve the accuracy and context awareness of AI systems. This means that models such as ChatGPT may be updated continuously using one of the largest collections of public discourse accessible, which will improve response times for human communication and natural language processing.
Reddit will be able to employ OpenAI’s sophisticated language models to create and deliver new AI-powered features for its users and moderators as a result of this partnership. This partnership may lead to improved moderation tools and a suite of capabilities created especially to aid users in comprehending thread data. Potential features may be content summaries or tools that help users formulate replies to other users’ posts without having to start from scratch.
These features are primarily intended to improve language interactions for all users. Additionally, OpenAI will function as an advertising partner as part of this relationship, allowing Reddit to provide more relevant and personalized adverts by utilizing OpenAI’s ability to pick up on the nuances of user behavior.
Although the Reddit community’s response to this alliance is still unknown, their past involvement and outspoken criticism of unfavorable leadership decisions—like those made during the demonstrations over API pricing—indicate that they might react with vigilance. The approval of this collaboration will largely depend on OpenAI’s capacity to protect user privacy and follow Reddit’s community guidelines.
As far as OpenAI is concerned, this partnership with Reddit represents an important strategic advancement. It puts the business in a position to showcase its cutting-edge AI technology against industry titans like Google and Microsoft, as well as—most importantly—within the vital domain of social media. This partnership would give Reddit a significant edge over less progressive networks, thereby changing its perception and drawing in new members.
Although the relationship has a lot of potential, there are important methodological and ethical concerns as well. Integrating user-generated data in real-time to enhance AI skills may violate users’ privacy rights and limit their freedom of speech. Furthermore, this use of AI may be in conflict with accepted ethical standards.
Reddit CEO Steve Huffman is in favor of the integration, saying it will increase community involvement and encourage more pertinent material, both of which are in line with the idea of a linked internet. Navigating the ramifications of this agreement is difficult, though, especially given Reddit’s past problems with data scraping and current copyright battles.
Amazon plans to use AI and computer vision to improve its environmental initiatives and guarantee that customers receive products in perfect condition. The program, known as “Project P.I.” (short for “private investigator”), works at North American Amazon fulfillment centers, scanning millions of products every day for flaws.
Before products are delivered to customers, Project P.I. uses generative AI and computer vision technology to identify problems like broken goods or improper colors and sizes. In addition to detecting flaws, the AI model assists in locating the underlying reasons, allowing Amazon to put preventative measures in place earlier. In the locations where it has been implemented, this technology has demonstrated exceptional efficacy in precisely detecting product defects amidst the substantial quantity of goods handled on a monthly basis.
Every item goes through an imaging tunnel where Project P.I. assesses its condition before it is sent out. When a flaw is found, the product is isolated and further examined to see if it affects any other similar products.
After reviewing the items that have been reported, Amazon associates determine whether to donate them, resale them at a discount on Amazon’s Second Chance website, or use them for other purposes. With intentions to expand until 2024, this technology seeks to improve manual inspections at various fulfillment centers in North America by serving as an extra pair of eyes.
VP of Worldwide Selling Partner Services at Amazon, Dharmesh Mehta, stated: “We want to get the experience right for customers every time they shop in our store.”
“We are able to efficiently detect potentially damaged products and address more of those issues before they ever reach a customer, which is a win for the customer, our selling partners, and the environment,” the company says, utilizing artificial intelligence and product imaging within its operations facilities.
Another important component of Amazon’s sustainability activities is Project P.I. The technology assists in lowering needless returns, discarded packaging, and extraneous carbon emissions from transportation by keeping broken or defective goods from reaching customers.
“AI is helping Amazon ensure that we’re not just delighting customers with high-quality items, but we’re extending that customer obsession to our sustainability work by preventing less-than-perfect items from leaving our facilities and helping us avoid unnecessary carbon emissions due to transportation, packaging, and other steps in the returns process,” said Kara Hurst, vice president of worldwide sustainability at Amazon.
Amazon is utilizing a generative AI system that is outfitted with a Multi-Modal LLM (MLLM) in parallel to look at the underlying reasons behind unfavorable customer experiences.
When customers identify flaws that evade early inspections, this system examines their input and examines fulfillment center photos to determine what went wrong. For instance, the system looks at the product labels in fulfillment center photos to identify the mistake if a consumer receives the wrong size of a product.
The selling partners of Amazon, particularly the small and medium-sized enterprises that account for more than 60% of Amazon’s sales, can also benefit from this technology. By facilitating easier access to defect data, Amazon assists these sellers in resolving problems promptly and minimizing errors in the future.
AMD unveiled the MI400 series, which would be built on the “Next” architecture and launch in 2026.
In an attempt to take on market leader Nvidia, Advanced Micro Devices introduced its newest AI processors on Monday along with a roadmap for developing AI chips over the next two years.
The MI325X accelerator was unveiled by AMD CEO Lisa Su at the Computex technology trade expo in Taipei. It is scheduled for release in the fourth quarter of 2024.
The drive to create generative AI applications has resulted in an enormous demand for the cutting-edge CPUs needed in AI data centers that can handle these intricate applications.
AMD has been fighting to challenge Nvidia, which now holds a commanding 80% market share in the lucrative AI chip sector.
AMD has now followed suit, with Nvidia having made it apparent to investors since last year that it intends to reduce its release cycle to once a year.
“We have really harnessed all of the development capability within the company to do that,” Su said to reporters. “AI is clearly our number one priority as a company.”
The reason behind this yearly cycle is that the market demands newer goods with newer features. We always have the most competitive portfolio because we have the next big thing every year.
AMD also unveiled the MI350 chip series, which will be built on a revolutionary chip architecture and should go on sale in 2025.
AMD stated that it anticipates the MI350 to perform 35 times better in inference—the process of calculating generative AI responses—than the MI300 family of AI chips already on the market.
AMD also unveiled the MI400 series, which will debut in 2026 and is built on the “Next” architecture.
The CEO of Nvidia, Jensen Huang, announced on Sunday that GPUs, CPUs, and networking chips would be a part of the company’s next-generation AI chip platform, dubbed Rubin, which is scheduled for release in 2026.
Investors have been pouring billions of dollars into Wall Street’s picks-and-shovels trade, and they have been looking to chip companies for longer-term updates in order to assess how long the soaring genAI rally will last—so far, no signs of a slowdown.
On Monday, Nvidia’s shares increased by more than 3%, while AMD’s were unchanged. Although AMD’s worth has more than doubled since the beginning of 2023, the increase is nothing compared to the more than seven-fold increase in Nvidia’s share price during the same time frame.
Chief analyst Bob O’Donnell of Technalysis Research stated, “While the proof will be in the pudding, there’s no doubt that AMD is taking Nvidia head-on and companies looking for alternatives to Nvidia are bound to be happy to hear what AMD had to say.”
AMD’s Su stated in April that the company has increased its original projection of $500 million to $4 billion in sales of AI processors by 2024.
AMD stated at Computex that the second half of 2024 will probably see the release of its most recent generation of central processor units.
Though the ratio is skewed in favor of GPUs, some of AMD’s CPUs are utilized in conjunction with graphics processing units (GPUs), even though corporations typically prioritize spending on AI chips in data centers.
The new neural processing units (NPUs) from AMD, which are intended to handle on-device AI tasks in AI PCs, have been described in full.
Chipmakers are counting on increased AI capabilities to propel PC market growth as it recovers from a prolonged downturn.
Devices with AMD’s AI PC chips will be released by PC manufacturers including HP and Lenovo. AMD claimed that their CPUs meet or surpass Microsoft’s Copilot+ PC specifications.
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Artificial intelligence advances and their potential to fundamentally alter how society is shaped in the future can frequently thrill us. But as AI enthusiasts are aware, the technology is already pervasively present in so many of our daily interactions that it is drastically altering the ways in which we work, relax, and have fun.
The media has been covering high-tech topics for decades, such as robots that resemble humans and can perform all of our everyday household activities. Mabel the Robot Housemaid first appeared in 1966 and was supposed to perform all household chores by 1976. Even though it didn’t work out, artificial intelligence (AI) has adapted to our daily lives and, although there may not be any Mables, many of us do have personal assistants in the form of Alexa, Siri, and Cortana.
While they might not be able to iron our clothes for us, these robots can operate our heating systems, program the oven, and switch on and off the lights while we’re not home. Instead of doing all the manual labor alone, they assist us in the background and become a part of our homes. Experts predict that by 2033, robots will handle nearly 40% of our household chores. This appears to be fairly similar to the 1966 statements, however data from the Universities of Oxford in the UK and Ochanomizu in Japan support this. What routine chores will be automated in the next five to ten years? That was the question posed to 65 AI professionals.
What kinds of futures are envisaged for unpaid work? was the question examined in this study. Will robots at least take out the trash for us if they replace our jobs? It’s predicted that over the next ten years, consumers will spend 46% less time cleaning their homes. Grocery shopping is the one chore that is most likely to become more automated. Experts estimate that by 2033, AI will handle almost 60% of our food shopping. It is unlikely, nevertheless, that machines will be trusted with caring duties like tending to the young or the elderly.Experts in the field think that trusting machines to take care of children would not be acceptable, even if AI were technically capable of doing so. This is because there could be negative effects on the child’s development and privacy concerns.
What jobs is artificial intelligence performing, therefore, if not taking care of our kids or doing the laundry? Given the magnitude of the market, this industry contributes significantly to the global economy. According to the latest recent figures, its value is expected to reach US$ 184.00bn by 2024. That is nothing, though, in comparison to projections for 2030. By the end of the decade, the market is predicted to increase at a rate of about 29% and be valued a whopping US$826 billion.
These are a few domains in which artificial intelligence has become so pervasive in our lives that it almost makes us forget how we used to live.
We use our facial IDs to unlock our phones. This feature is made possible using AI. The gadget uses 30,000 invisible infrared dots to take pictures of your face and use biometrics to see you in three dimensions. Then, to identify whether it’s an intruder attempting to access your phone or you, it uses machine learning algorithms to compare the facial scan with what it has saved on file. Apple asserts that there is a one in a million possibility of tricking its FaceID.
We can go in a lot of different areas once our phones are open. Some folks leave to read the news or check social media. Some use their phones to access online casinos or play games for fun. These websites cannot operate without AI and algorithms; AI is used in customer support, payment verification, and winning distribution, among other tasks. Players can select from the newest games available, giving them a personalized experience as the AI learns the games they prefer playing. But instead of going through every new release, the algorithm may recognize what they have already played and recommend something similar to them.
Social media feeds are also updated by AI. Because the computer has learnt what posts you react to based on your past interactions, what a user sees is personalized. It generates news posts and friend recommendations. The next stage for AI is to improve recognition, weed out false information, and stop cyberbullying. Since general elections will be held worldwide in 2024, eliminating fake news will be even more important.
Whether writing emails, chats, reports, or anything else on our computers or phones, we use Grammarly and spell check. Through the use of natural language processing and suggestions, they assist us in producing error-free messages. When we use spam filters to send and receive emails, certain emails are blocked and sent to our junk mail boxes, involving more AI. Furthermore, machine learning is used by antivirus software to safeguard our computers and email accounts.
Although all of these instances take place in the background, the usage of digital voice assistants has changed significantly in recent years. Siri, Alexa, Google Home, and Cortana are always with us, whether we need help finding our way or checking the weather. Many people now rely on them as a copilot when driving and as a general source of limitless information around the house, and they have truly become necessary. These assistants use artificial intelligence (AI)-powered natural language processors and generators to respond to all inquiries. They are becoming more and more trained to respond in “human-like” ways; occasionally, they even sound offended.
While the idea of robots performing housekeeping has been around since 1966, our homes are getting “smarter” every day. We have refrigerators that can make shopping lists based on what is no longer in the refrigerator and thermostats that let us manage the temperature from our phones. Based on what’s in your refrigerator, they can also suggest possible accompaniments, like wine or condiments.
Mabel is still nowhere to be seen, but perhaps one day she will show up.
The most recent addition to Google Cloud’s text-to-image capabilities is Imagen 2.
Imagen 2, which is accessible to Vertex AI customers on the allowlist, lets users create and share photorealistic photos with easy-to-use tools and fully-managed infrastructure.
Imagen 2, which was created using Google DeepMind technology, provides enhanced image quality along with a variety of features designed for particular use cases.
Some of Imagen 2’s salient features are:
Variety in picture generation: Imagen 2 is excellent at producing high-quality images from natural language prompts that meet a range of user needs. Text rendering in several languages: Imagen 2 offers precise text rendering in multiple languages, overcoming common issues. Logo creation: Companies can use Imagen 2 to make a range of imaginative and lifelike logos, which they can then superimpose on merchandise, apparel, business cards, and other items.
Detailed answers to questions regarding image elements and the generation of meaningful captions are made easier by Imagen 2’s sophisticated image understanding capabilities. Support for several languages: Imagen 2 offers support in preview for six more languages, with plans to add more in early 2024. One aspect of this is the ability to translate between output and prompt. Safety precautions: Imagen 2 complies with Google’s Responsible AI guidelines by integrating built-in safety features. To guarantee responsible use, it incorporates safety filters and works with a digital watermarking service.
Built to enterprise standards, Imagen 2 on Vertex AI provides similar governance and dependability to its predecessor. Imagen 2 intends to give organizations a complete tool for creative image development with additional features such enhanced text rendering, high-quality image rendering, logo generation, and safety precautions.
Prominent corporations such as Canva, Shutterstock, and Snap have already adopted Imagen for artistic intent.
“We exist to empower the world to tell their stories by bridging the gap between idea and execution,” said Chris Loy, Director of AI Services at Shutterstock.
We continue to include the newest technology into our editing and image generation tools because variety is essential to the creative process—as long as the technology is based on data that has been sourced ethically.
“We’re continuing to use generative AI to innovate the design process and augment imagination,” said Danny Wu, Canva’s head of AI.
“Our 170 million+ monthly users can enhance their content creation at scale with Imagen’s image quality improvements.”
Organizations are urged to investigate Imagen 2’s possibilities as it creates waves in the creative sector. Google Cloud hopes that users will take advantage of the additional features to further their artistic endeavors and build upon Imagen’s success.
Google claims that its $1 billion investment in a new data center in the UK will help it fulfill the “growing demand” for its cloud and artificial intelligence services.
The 33-acre location in Waltham Cross, Hertfordshire, will provide businesses with much-needed compute power, fostering AI research and guaranteeing dependable digital services for both Google Cloud users and regular consumers who depend on services like YouTube, Maps, and Search.
The data center “represents our latest investment in the UK and the wider digital economy,” according to Ruth Porat, president and top financial officer of Alphabet. She continued by saying that it builds on earlier investments made in the Grace Hopper undersea cable, which connects the UK with the US and Spain, the Saint Giles and Kings Cross offices, and a multiyear research agreement with Cambridge.
According to Porat, the establishment would provide construction and technical employment for the local community while “helping meet growing demand for our AI and cloud services and bringing crucial compute capacity to businesses across the UK.”
Google, a leader in computer infrastructure, maintains some of the most energy-efficient data centers globally and has made a commitment to run them exclusively on carbon-free energy by 2030.
Google and ENGIE struck an agreement last year for 100MW of offshore wind energy from Scotland’s Moray West farm, putting UK businesses on track to use 90% renewable energy by 2025.
The new data center will include an air-cooling system in addition to recovering heat for nearby residences and businesses.
The new data center, according to Porat, is proof of the company’s “continued commitment to the UK” and the “latest in a series of investments that support Brits and the wider economy.” Additional investments include building the one million square foot King’s Cross complex, investing $1 billion for its Central Saint Giles office property, and creating an Accessibility Discovery Center to promote accessible technologies.
In order to capitalize on the demand for the technology, Google has extended its AI-focused Digital Garage curriculum and trained over a million British citizens in digital skills in addition to building offices, data centers, and subsea cables.
Google’s statement comes after Microsoft confirmed in November that it will build a £2.5 billion data center in the UK once it cleared regulatory obstacles to complete its £55 billion acquisition of Activision Blizzard.
According to HM Treasury, “this is the single largest investment in its 40-year history in the country, helping to meet the exploding demand for efficient, scalable, and sustainable AI specific compute power.” Microsoft will expand its UK AI infrastructure across sites in London and Cardiff, with potential expansion into northern England.
“Data centers handle, house, and retain the enormous volumes of digital data necessary for creating artificial intelligence models.”
More than 20,000 cutting-edge GPUs are being provided by Microsoft to its UK data center for the purposes of machine learning and the creation of novel AI models.
“The UK is the tech hub of Europe with an ecosystem worth more than that of Germany and France combined,” Chancellor of the Exchequer Jeremy Hunt declared. “This investment is another vote of confidence in us as a science superpower.”
Google’s short-lived Bard service has been replaced by its AI chatbot, Gemini.
Bard, which debuted in December, was hailed as a rival to chatbots such as ChatGPT, but demos showed it to be unimpressive. Employees at Google even criticized CEO Sundar Pichai and labeled the rollout as “botched.”
Google claims that Gemini, the company’s rebranding model for natural conversations, is the “most capable family of models.” There are two new experiences coming out: Gemini Advanced and a mobile app.
Access to Ultra 1.0, which Google describes as their “largest and most capable state-of-the-art AI model,” is made possible by Gemini Advanced. Third-party raters in blind evaluations found that for sophisticated tasks like coding, logical thinking, and creative cooperation, Gemini Advanced with Ultra 1.0 was superior to the alternatives.
The AI may create customized lessons and tests to act as a tutor. More complex code issues are assisted for developers. Gemini Advanced is intended to inspire creativity and help producers plan strategies for expanding their fan bases.
With time, Google intends to add more special features to Gemini Advanced, including deeper data analysis, interactive coding, and broader multimodal interactions. More than 150 nations are currently supported by the service in English, and more languages will be added soon.
The new .99 (£18.99) a month Google One AI Premium Plan, which includes a free two-month trial, gives users access to Gemini Advanced. Subscribers receive 2TB of storage from the current Premium plan in addition to the most recent developments in Google AI.
Before launching, Google says Gemini Advanced passed rigorous safety and trust tests, including external assessments, to address concerns about biased and dangerous material. A technical report that has been updated has more information (PDF).
Finally, to enable users to access essential Gemini functions while on the road, Google released new mobile apps for iOS and Android. While out and about, users can ask for assistance with chores, photos, and more. The goal is for Gemini to develop into a genuine personal AI helper over time.
The Gemini mobile apps, which initially supported English chats, are now accessible in the US as a separate Android app and in the Google app for iOS. The apps go live in Korea and Japan the next week, and then they launch in additional nations and languages.
A former Google engineer is accused of surreptitiously collaborating with two Chinese companies and obtaining trade secrets pertaining to the company’s artificial intelligence technologies.
The 38-year-old Chinese national Linwei Ding was taken into custody in Newark, California, on Wednesday. She is accused of stealing four federal trade secrets, each of which carries a potential 10-year jail sentence.
Ding, who was employed by Google in 2019 to create software for the company’s supercomputing data centers, is accused in the indictment of having started transferring private data and trade secrets to his personal Google Cloud account in 2021.
The US Department of Justice said in a statement that Ding “continued periodic uploads until May 2, 2023, at which time Ding allegedly uploaded more than 500 unique files containing confidential information.”
According to the prosecution, Ding attended investor meetings for a Chinese startup AI company and was offered the post of chief technology officer after acquiring the trade secrets. Ding is also said to have started and been the CEO of a Chinese firm that employed supercomputer processors to train AI models.
FBI Director Christopher Wray stated, “Today’s charges are the latest illustration of the lengths affiliates of companies based in the People’s Republic of China are willing to go to steal American innovation.”
“It can cost jobs and have devastating economic and national security consequences when innovative technology and trade secrets are stolen from American companies.”
Ding may get a maximum sentence of 40 years in jail and a fine of up to $1 million if found guilty on all counts.
The case highlights the ongoing disputes between China and the US over theft of intellectual property and the competition to control cutting-edge technologies like artificial intelligence.
Google has released a number of updates to its AI products, including as the release of Gemini 1.5 Flash, improvements to Gemini 1.5 Pro, and developments on Project Astra, the company’s AI assistant of the future.
The new model in Google’s lineup, Gemini 1.5 Flash, is intended to be speedier and more effective for large-scale use. Despite being less heavy than the 1.5 Pro, it still has the revolutionary long context window of one million tokens and the capacity for multimodal reasoning across large volumes of data.
Demis Hassabis, CEO of Google DeepMind, stated, “1.5 Flash excels at summarization, chat applications, image and video captioning, data extraction from long documents and tables, and more.” “This is because 1.5 Pro trained it using a process known as distillation, which transfers the most crucial knowledge and abilities from a larger model to a smaller, more effective model.”
In the meantime, Google has expanded the context window to an unprecedented two million tokens, greatly enhancing the capabilities of its Gemini 1.5 Pro model. Its logical reasoning, code creation, multi-turn communication, and visual and audio understanding have all been improved.
Additionally, the business has included Gemini 1.5 Pro into Google products, such as the Workspace and Gemini Advanced apps. Furthermore, Gemini Nano can now process multimodal inputs, including visuals in addition to text.
Google unveiled Gemma 2, the next generation of open models built for ground-breaking effectiveness and performance. PaliGemma, the business’s first vision-language model that draws inspiration from PaLI-3, is another addition to the Gemma family.
Lastly, Google presented its vision for the future of AI assistants, Project Astra (advanced seeing and talking response agent), and its efforts on it. The business has created prototype agents that have improved context understanding, information processing speed, and conversational responsiveness.
“Creating a universal agent that is helpful in daily life has always been our goal. Google CEO Sundar Pichai stated, “Project Astra demonstrates multimodal understanding and real-time conversational capabilities.”
“With this kind of technology, it’s not hard to imagine a world in which people could wear glasses or a phone to have an expert AI assistant by their side.”
Some of these features, according to Google, will be added to its products later this year. This is where developers may discover all the announcements they need about Gemini.
