AI news in English
Microsoft is preparing to enable Copilot AI in OneNote to read and analyze handwritten notes. The feature, which entered beta testing late last month, will allow OneNote users to write handwritten notes using a stylus, then summarize them, ask questions, and even create to-do lists based on the notes. The AI-powered Copilot feature in OneNote will even convert your handwritten notes to text for easy editing and sharing. This upgrade will be available to existing Copilot subscribers and Copilot Pro users once it’s rolled out more broadly. To test the handwriting recognition feature in Microsoft Copilot, you must be a Microsoft 365 Insider running the latest version of OneNote on Windows (17628.20006 or later) and have a subscription to Copilot Pro or Copilot for Microsoft 365. · 47 min sedan
Researchers are exploring the existential implications of generative AI, including whether or not the advancing technology will actually make humans more creatively capable — or narrow our views. The new study, published in Science Advances by two University College London and University of Exeter researchers, tested hundreds of short stories created solely by humans against those created with the creative help of ChatGPT´s generative AI. One group of writers had access solely to their own ideas, a second group could ask ChatGPT for one story idea, and a third could work with a set of five ChatGPT made prompts. The stories were then rated on ´novelty, usefulness (i.e. likelihood of publishing), and emotional enjoyment,´ reported TechCrunch.´These results point to an increase in individual creativity at the risk of losing collective novelty,´ the study reads. ´This dynamic resembles a social dilemma: With generative AI, writers are individually better off, but collectively a narrower scope of novel content is produced.´ Mashable Light Speed Want more out-of-this world tech, space and science stories? Sign up for Mashable´s weekly Light Speed newsletter. By signing up you agree to our Terms of Use and Privacy Policy Thanks for signing up! Participants were ´measured´ for creativity prior to the writing session with a commonly used word-production task that builds a standard of creativity among respondents. Those who tested lower on these creativity proxy tests received better scores on their personal writing when given access to AI-generated ideas. But for those with already high creativity scores, AI ideas had little to no benefit on their story ratings. Additionally, the pool of stories aided by AI-generated prompts were deemed to be less diverse and displayed less unique writing characteristics, suggesting the limits of ChatGPT´s all-around ingenuity. The new study´s literary findings add to concerns about AI´s self-consuming training loops, or the problem of AI models trained only on AI outputs degrading AI models themselves, Mashable´s Cecily Mauran reported. Study author Oliver Hauser said in a comment to TechCrunch: ´Our study represents an early view on a very big question on how large language models and generative AI more generally will affect human activities, including creativity... It will be important that AI is actually being evaluated rigorously — rather than just implemented widely, under the assumption that it will have positive outcomes.´ Topics Artificial Intelligence · 52 min sedan
The advent of artificial intelligence (AI) at the start of this decade might be one of the biggest advances in technology over the last 50 years - or at least, that´s what investors certainly seem to think. Bespoke Investment Group on Saturday highlighted that since the release of OpenAI´s ChatGPT less than two years ago, the tech-focused Nasdaq 100 (NDX) has gained more in over 400 days than in the aftermath of any other major technological release of the last half-century. OpenAI revealed ChatGPT to the world on November 30, 2022 - a date which is now seen as a watershed event in terms of introducing the power of AI and its capabilities. Since that eventful November day, the Nasdaq 100 (NDX) has advanced 69.01% from 12,030.06 points to 20,331.49 points. · 52 min sedan
Using artificial intelligence to write cover letters is becoming more common among job applicants. While some see it as cheating, others view it as a smart way to enhance their applications. AI tools like ChatGPT can help candidates improve their resumes and cover letters, making them more competitive in the job market. However, it is essential for applicants to be transparent about their use of AI tools during the application process. Employers may also need to adapt their hiring processes to account for the increasing use of AI-generated application materials. Overall, AI can be a valuable tool for both job seekers and employers in the recruitment process. · 52 min sedan
Learn how to proofread your documents with the ChatGPT desktop app on Mac. Install the app, open your document, copy the text you want to proofread, use ChatGPT for proofreading, and review the suggestions. Break down the text, ask ChatGPT for specific help, read your work out loud, proof your work backwards, and create a proofreading checklist for effective proofreading. While AI-generated content is improving, human input is still crucial to ensure proper context. Follow these steps to enhance your proofreading process with ChatGPT on Mac. · 52 min sedan
Call recording is coming to iPhones with iOS 18 in an update to the Phone app, but we might not see it in function until iOS 18 comes out in full later this fall. Of course, it will also include some elements of Apple Intelligence as Apple integrates AI into the iPhone. The new feature will make it native, as reported by 9to5 Mac. When the feature comes to iPhones, a new option will appear during calls to start recording. Hitting the button will notify the other person that you are recording, the call screen will display how long the recording has been going. · 57 min sedan
Freelance artist Nancy Aguilar and college student Katelyn Chang have launched a podcast series called 'The Creative Code' to address the impact of generative AI on human creatives. The duo highlights concerns about economic harm, copyright infringement, and job displacement caused by generative AI programs like MidJourney and OpenAI's DALL-E. Experts, including computer science professor Ben Zhao, support their concerns, noting a decline in art college enrollment due to AI. The podcast also discusses legal controversies, such as Scarlett Johansson's dispute with OpenAI over a chatbot voice. Aguilar and Chang urge young creatives to stay informed and take action in response to AI advancements. · 112 min sedan
A new iPhone and iPad app called Magibook is using artificial intelligence to simplify classic literary works like 'Moby Dick' and 'A Tale of Two Cities,' while also altering controversial language in books like 'The Adventures of Huckleberry Finn.' The app, launched on July 1, offers different versions of 10 books, from original to elementary level. However, critics like linguistics professor Cassandra Jacobs argue that the app's abridged versions may distort the original intent of the authors. Despite claims to make books more accessible, some believe that the app may oversimplify complex ideas and lose the nuances of the original texts. · 112 min sedan
Have you ever considered the potential of artificial intelligence (AI) to unlock the secrets of advanced quantum computing? This once seemingly impossible feat may soon become a reality, as suggested by new research from Australia’s national science agency, CSIRO.AI and quantum computing noiseThe research, published in the prestigious Physical Review Research journal, presents a fascinating and important concept. It indicates AI’s remarkable potential to process and resolve quantum errors, which are famously termed as ‘qubit noise’. Now, why do these quantum errors matter so much in the universe of quantum computing? This noise, which arises from various sources such as environmental interference and imperfections in the quantum system, apparently is the largest hurdle in transitioning quantum computers from being purely experimental devices to practical, everyday tools. Overcoming this noise barrier is crucial because it will enable quantum computers to achieve their full potential, performing complex calculations at speeds unimaginable with classical computers. The application of AI in this context could be a significant step towards realizing the dream of functional and reliable quantum computing technology.Moving from bits to qubitsFor those curious about the term ‘qubit,’ let’s delve into a brief overview. In conventional computers, information is stored and processed in ‘bits,’ each representing either 0 or 1 based on binary principles. This binary system is the foundation for all computations, from simple arithmetic to complex algorithms, in classical computing.Quantum computers, however, operate with quantum bits or ‘qubits.’ Unlike traditional bits, qubits can represent 0, 1, or both 0 and 1 simultaneously, thanks to the principles of quantum mechanics, specifically superposition. This allows qubits to exist in multiple states at once. Additionally, qubits can exhibit entanglement, where the state of one qubit is intrinsically linked to the state of another, regardless of distance. These extraordinary properties of qubits promise a level of computing power far beyond that of conventional computers.Role of AI in quantum computingBut here’s the catch. Qubits, despite their immense computational potential, are incredibly delicate and prone to disturbances from their environment. Their fragility leads to quantum computers often churning out ‘noise,’ or errors, in their outputs, which can significantly impact their performance and reliability. This is where quantum error correction codes come to the rescue. These sophisticated algorithms are designed to detect and correct these errors, ensuring that the computations remain accurate and the integrity of the quantum data is maintained. Without these error correction codes, the practical use of quantum computers would be severely limited.Dr. Muhammad Usman, the leader of CSIRO’s Data61 Quantum Systems Team, reveals the role of AI in making this error correction process efficient. His team employed an AI neural network syndrome decoder to identify errors and make appropriate corrections.“Our work for the first time establishes that a machine learning-based decoder can, in principle, process error information obtained directly from measurements on IBM devices and suggest suitable corrections despite the very complex nature of noise,” Usman explained.“In our work, we do not observe error suppression when the error correction code distance is increased, as theoretically anticipated, due to currently large noise levels (above code threshold) in IBM quantum processors.”Future of AI in quantum computingWhat does this mean for the future of quantum computing? Unfortunately, the research didn’t observe error suppression when the error correction code distance increased, largely due to the high noise levels in IBM quantum processors. However, with physical error rates expected to reduce within the next few years, the use of AI could potentially enable error suppression with the increasing code distance, possibly paving the way for full fault-tolerance.The importance of Dr. Usman’s work couldn’t be overstated, given the current landscape of quantum computing. The use of AI in quantum error correction codes represents a transformative moment in the journey of quantum computers from experimental devices to efficacious tools.So, AI might just turn out to be the magic wand, waving away one of the biggest challenges in quantum computing. No wonder, science never ceases to surprise us, does it?While we are still some way off from quantum computers becoming a common reality, there’s no denying the potential impact this research could have on our future. The combination of AI and quantum computing might just be what we need to make a quantum leap in technology.The full study was published in the journal Physical Review Research.—–Like what you read? Subscribe to our newsletter for engaging articles, exclusive content, and the latest updates.Check us out on EarthSnap, a free app brought to you by Eric Ralls and Earth.com.—– · 112 min sedan
Fun, free AI tools to try! Create custom music tracks with Udio, produce quick video clips with Invideo, and draft digital artwork with OpenArt. For a fun challenge, try Google's Quick, Draw! game. Keep up with the latest tech news and tips by listening to the award-winning podcast 'Kim Komando Today' hosted by Kim Komando. Stay informed and sound like a tech pro with her daily email newsletter. Tags: family, Google. · 2 h sedan
Despite the advent of personal computers, the internet and other high-tech innovations, much of the industrialized world is stuck in an economic growth slump, with O.E.C.D. countries expected to expand on aggregate just 1.7 percent this year. Economists sometimes call this phenomenon the productivity paradox. The big new hope is that artificial intelligence will snap this mediocrity streak — but doubts are creeping in. And one especially skeptical paper by Daron Acemoglu, a labor economist at M.I.T., has triggered a heated debate. Acemoglu concluded that A.I. would contribute only “modest” improvement to worker productivity, and that it would add no more than 1 percent to U.S. economic output over the next decade. That pales in comparison to estimates by Goldman Sachs economists, who predicted last year that generative A.I. could raise global G.D.P. by 7 percent over the same period. The bullish camp has great hopes for A.I. Sam Altman of the ChatGPT maker OpenAI sees A.I. wiping out poverty. Jensen Huang, the C.E.O. of Nvidia, the dominant maker of the chips used to power A.I., says the technology has ushered in “the next industrial revolution.” · 2 h sedan
Lockheed Martin has been awarded a $4.6 million contract by the Defense Advanced Research Projects Agency (DARPA) to develop Artificial Intelligence (AI) tools for dynamic, airborne missions. This initiative is part of DARPA’s Artificial Intelligence Reinforcements (AIR) programme, aiming to enhance Modeling and Simulation (M&S) approaches and develop advanced AI agents for live, multi-ship, beyond visual range (BVR) missions. Over an 18-month period, Lockheed Martin will apply AI and Machine Learning (ML) techniques to create surrogate models of aircraft, sensors, electronic warfare, and weapons within dynamic and operationally representative environments. The DARPA AIR program will use state-of-the-art scientific ML technology and Lockheed Martin’s ARISE infrastructure to deliver unprecedented amounts of data for faster and more informed decisions. · 2 h sedan
Bair and Djulbegovic, resident physicians with expertise in digital health and AI, highlight the importance of equitable access to AI technologies in healthcare systems. Disparities in AI implementation can lead to variations in patient care quality, economic efficiency, and technological advancements. To bridge these gaps, government interventions, educational initiatives, collaborative models, and contributions from the public and private sectors are essential. By implementing strategies to ensure inclusive healthcare systems, we can harness the full potential of AI technologies for the benefit of all patients. Bair and Djulbegovic emphasize the need for proactive measures to prevent widening disparities in AI implementation. · 2 h sedan
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5 AI Tools To Step-Up Your Online Content Creation The internet is easily one of the best inventions of mankind. Not only does it enable the transfer of information worldwide in seconds, but it has also created perhaps the most sought-after career in recent times — content creation. We´ve all seen midnight successes — be it your favorite family vlogger, or a gaming-centric YouTuber. Despite how easy it might seem, making videos — or any form of content online requires time, commitment, and skill. While there´s no substitute for the amount of effort and dedication you need to put in to turning your hobby into an online career, the availability of content creation tools and resources have made the gig infinitely more accessible to countless individuals globally. As someone who has spent years shooting and editing tech-focused videos on YouTube, I have often scoured the internet to find ways of streamlining the process. With the advent of AI, now more than ever, it is possible for anyone and everyone to get started with online content creation. From being able to speed up the video editing process, to getting hold of attractive video thumbnails in just a few clicks, here are five exceptional AI tools geared towards content creation that you should try. While we´ve tested every mention on this list, it´s important to note that most of these services do require a monthly subscription to yield many of the advertised features. · 2 h sedan
Great news for Amazon shoppers in the U.S.! Amazon has announced that its new AI shopping assistant, Rufus, is now available to everyone. Rufus is designed to make shopping smoother and more informative. You can ask Rufus for buying advice, activity suggestions, product comparisons, gift ideas, and more. Trained on a massive amount of information, Rufus can provide relevant answers to address your specific needs. While still under development, Rufus marks a big step forward for online shopping. With AI technology continuing to develop, we can expect Rufus and other AI assistants to become even more helpful in the future. · 2 h sedan
Amazon introduced a new player in the chatbot world: Rufus. Now available to all US customers, albeit in beta, Rufus was made accessible after a testing phase that began in February. Currently, the chatbot seems to be integrated only into the Amazon mobile app and not into the web version of the e-commerce site. Rufus: An AI at the Service of Shopping. But what exactly does Rufus do? Being an Amazon chatbot, its main purpose is to facilitate online shopping. Users can ask for lists of recommended products and get detailed information about specific items. It is only available on the Amazon mobile app, in beta, and exclusively in the United States. Italians will have to wait. Engadget journalist Lawrence Bonk, who had the chance to try it, describes the Rufus user experience as 'pretty boring'. In any case, the chatbot seems actually useful and, what is appreciated, at least for the moment it does not exclusively recommend sponsored products - that is, the subject of advertising campaigns by brands. Do we really need an AI personal shopper? When you ask Rufus for a list of interesting products, the chatbot tends to generate a long list of products selected from those that have a large number of positive reviews. You can ask specific questions about the products, but the answers seem to be pulled directly from the item descriptions. 'As regular Amazon customers know, these descriptions can sometimes be accurate and sometimes not so accurate,' Bonk writes. Amazon said the bot was trained using its product catalog, customer reviews, community questions and answers, and public information found on the web. However, the company has not disclosed which websites this information came from or for what specific purpose it was collected. · 2 h sedan
Amazon has officially made its chatbot, Rufus, available to all American customers just in time for next week’s Prime Day. Named after a former employees’ Welsh Corgi, Rufus is designed to assist customers in choosing the right products by answering questions about specific needs. While Rufus can provide helpful information sourced from product listings and customer reviews, customers should be cautious about relying solely on its answers due to potential inaccuracies in data. Rufus can also assist with account-related queries. Customers in the United States can now access Rufus through the Amazon app. Remember to conduct your own research before making significant purchases. · 2 h sedan
A recent report by the Capgemini Research Institute reveals that over half of businesses in Singapore recognize the potential of generative AI (gen AI) to transform software engineering and other areas. However, most of these businesses lack a governance framework to effectively manage this emerging technology. The report shows that nearly 29% of organizations in Singapore are piloting or have integrated gen AI into their processes. Despite the benefits highlighted, such as fostering innovation and improving software quality, challenges remain in areas like culture, leadership, and talent. There is a critical need for upskilling programs to ensure employees can effectively leverage gen AI. · 2 h sedan
Kerala government to provide preferential share capital investment of up to INR 5 Cr to AI entities with a minimum investment of INR 10 Cr. A dedicated AI policy, aligned with ESG goals, to be introduced this fiscal year. The state aims to become a global hub of GenAI with various policy initiatives and incentives. Industries Minister P. Rajeeve announced these measures at an AI conclave organized by KSIDC and IBM. Additionally, support and incentives will be offered to enhance the existing AI infrastructure. Kerala has been making strides in AI, with initiatives like a GenAI-powered robot teacher in a local school and budget allocations to promote the startup ecosystem. · 2 h sedan
OpenAI, the company behind ChatGPT, is working on a new AI model named “Strawberry” that aims to make artificial intelligence think more like humans do. According to a Reuters report on July 12, Strawberry is designed to do deep research on its own by searching the internet. This could help solve complicated real-world problems on a large scale. An OpenAI spokesperson explained, “We want our AI models to see and understand the world more like we do. Continuous research into new AI capabilities is a common practice in the industry, with a shared belief that these systems will improve in reasoning over time.” · 2 h sedan
Shelly Palmer has been named LinkedIn’s “Top Voice in Technology,” and writes a popular daily business blog. For your weekend reading pleasure, I offer a synopsis of interesting articles about AI you may have missed this week. As always, your thoughts and comments are both welcome and encouraged. Mark Matlock, the Reform UK candidate for Clapham and Brixton Hill, recently faced accusations of being an AI-generated bot. Samsung is set to launch an upgraded GenAI version of its Bixby voice assistant. Can an army of C-3PO-inspired humanoid robots reduce global labor shortages? Google´s DeepMind researchers have introduced a new method to accelerate AI training. · 2 h sedan
The world of robotics is experiencing a renaissance, with companies like Figure using large language models like ChatGPT to give their bots personality and enhance their ability to understand complex commands. Google has introduced its own superpowered AI, Gemini, into a bot that can navigate environments, remember important areas, and even understand specific tasks. This advancement in AI and robotics is paving the way for a future where robot helpers could assist with various tasks, from navigating to fetching a favorite drink. The collaboration between AI and robotics is promising, opening up possibilities for more sophisticated research and advancements in the field. · 3 h sedan
SSM College of Engineering launched a special course on Artificial Intelligence (AI) and Machine Learning (ML) courses on Saturday. This initiative marks a significant step forward of providing cutting-edge education and equipping our students with the skills needed to excel in the rapidly evolving tech industry. Surinder Ambardar, Dr. Ramji Raghavan, and Dr. Assif Assad were present at the event. Dr. Assif Assad delivered a special lecture on AI and ML, emphasizing their role in global technology emergence. Dr. Ramji Raghavan spoke about the value of creativity in daily life. Surinder Ambardar highlighted the importance of enhancing skills to compete in the industry. Dr. Sajad Hussain Din, Principal of the College, thanked the guest speakers and participants. · 4 h sedan
A study on omental metastasis in LAGC patients analyzed clinical and radiomic features to develop predictive models. Various machine learning methods were used, including SVM, DT, RF, KNN, and LR. The RF model showed the highest accuracy, AUC, sensitivity, specificity, PPV, and NPV in the training cohort. In the test cohort, all models had low PPV, with DT showing significant differences in sensitivity and specificity. LR had the lowest PPV. Results in the external validation cohort were similar to the test cohort. The study highlights the importance of machine learning in predicting omental metastasis in LAGC patients. · 4 h sedan
A laptop computer with Microsoft Copilot+ installed is on display at the Best Buy store on June 18, 2024 in Miami, Florida. Best Buy began selling Microsoft´s new line of AI-centric Copilot+ PCs to customers. Many consumers are enamored with generative AI, using new tools for all sorts of personal or business matters. But many ignore the potential privacy ramifications, which can be significant. From OpenAI´s ChatGPT to Google´s Gemini to Microsoft Copilot software and the new Apple Intelligence, AI tools for consumers are easily accessible and proliferating. · 4 h sedan
OpenAI has introduced a five-level AI classification system to measure progress towards achieving artificial general intelligence (AGI). The system aims to provide an approach to track AI technology progress and convey company goals to investors. Current technology like GPT-4 is at Level 1, capable of conversational interactions. OpenAI aims to reach Level 2, known as 'Reasoners,' demonstrating problem-solving skills. The system's upper levels describe increasingly powerful AI capabilities, with Level 5 involving AI overseeing organizations. OpenAI's classification system serves as a communication tool to showcase ambitious goals, rather than a scientific measurement of progress towards AGI. · 4 h sedan
OpenAI, the company behind ChatGPT, is reportedly working on an innovative AI project known as ´Strawberry.´ According to sources familiar with the matter and internal documents reviewed by Reuters, this project, which was previously called Q, represents a significant breakthrough within the company. Although OpenAI has not officially disclosed details about Strawberry, the startup is striving to demonstrate that its models can deliver advanced reasoning capabilities. OpenAI teams are actively working on Strawberry. However, the precise release date of this technology remains uncertain. The specifics of how Strawberry functions are tightly guarded, even within OpenAI. The project aims to enhance the AI´s ability not only to generate answers but also to autonomously navigate the internet for in-depth research. This capability has been a challenging goal for AI models to date, as noted by several AI researchers. When asked about Strawberry, an OpenAI spokesperson stated, ´We want our AI models to see and understand the world more like we do. Continuous research into new AI capabilities is a common practice in the industry, with a shared belief that these systems will improve in reasoning over time.´ Earlier this year, demonstrations of Q reportedly showcased the model´s ability to answer complex science and math questions beyond the reach of current commercially available models. During an internal meeting on Tuesday, OpenAI allegedly presented a demo of a research project claiming new human-like reasoning skills. OpenAI hopes that Strawberry will significantly enhance its AI models´ reasoning abilities. This involves a specialized post-training process after the AI model has been pre-trained on extensive datasets. Researchers agree that improved reasoning is crucial for AI to achieve human or super-human intelligence. While large language models can efficiently summarize dense texts and compose sophisticated prose, they often struggle with common sense problems that humans intuitively solve. Addressing these issues is essential for AI models to achieve advanced reasoning capabilities. Strawberry is part of OpenAI´s broader strategy to overcome these challenges. The company has hinted to developers and other parties that it is close to releasing technology with significantly advanced reasoning capabilities. Strawberry involves a specialized post-training method to refine the performance of generative AI models after their initial training on generalized data. This project shares similarities with Stanford´s 2022 method called ´Self-Taught Reasoner´ (STaR), which allows AI models to iteratively create their own training data to reach higher intelligence levels. One of its creators, Stanford professor Noah Goodman, noted the potential and implications of such advancements. OpenAI aims to use Strawberry for performing long-horizon tasks (LHT), requiring the model to plan and execute a series of actions over extended periods. The company is developing and testing the models on a ´deep-research´ dataset, although specifics about the dataset and the duration of these tasks remain unknown. Additionally, OpenAI plans for its models to autonomously conduct research online with the help of a ´CUA´ (computer-using agent) that can take actions based on its findings. The company also intends to test these capabilities in software and machine learning engineering tasks. · 4 h sedan
OpenAI, a non-profit research lab at the forefront of artificial intelligence development, is facing criticism over safety practices. Current and former employees raise concerns that safety is being sidelined for technological advancement. Despite their commitment to responsible AI development, accusations of rushed safety testing and a lack of transparency have surfaced. Experts warn of potential risks to national security. OpenAI insists safety is a top priority, but recent controversies have raised doubts. The lab must now navigate a delicate balance between innovation and safety to regain public trust and uphold their core values. · 5 h sedan
OpenAI whistleblowers have filed a complaint with the Securities and Exchange Commission alleging the artificial intelligence company illegally prohibited its employees from warning regulators about the grave risks its technology may pose to humanity, calling for an investigation. · 5 h sedan
Despite the economic growth slump in industrialized countries, artificial intelligence is seen as the new hope to boost productivity. However, there are doubts about its potential impact, with some experts predicting only modest improvements. A paper by economist Daron Acemoglu has triggered a debate, suggesting A.I. may only add 1 percent to U.S. economic output over the next decade. In contrast, other economists believe generative A.I. could raise global G.D.P. by 7 percent. Supporters like Sam Altman and Jensen Huang have high hopes for A.I., envisioning it as a solution to poverty and the driver of the next industrial revolution. · 6 h sedan
OpenAI, the company behind ChatGPT, is developing a secretive AI project code-named ´Strawberry´ designed to significantly enhance AI reasoning capabilities, potentially leading to breakthroughs in autonomous research and problem-solving. While details remain tightly under wraps, Reuters has learned through sources and internal documents that Strawberry involves a novel approach to training and processing AI models, enabling them to perform tasks that have eluded existing systems. Unlike current models that primarily focus on generating text-based responses, Strawberry aims to equip AI with the ability to ´plan ahead´ and navigate the internet autonomously to conduct what OpenAI calls ´deep research.´ This represents a significant leap forward, as it requires a deeper understanding of context, logic, and multi-step problem-solving. The pursuit of human-level AI reasoning is a central focus across the industry, with companies like Google, Meta, and Microsoft all exploring various techniques. Experts believe that achieving this breakthrough could unlock the potential for AI to drive scientific discoveries, develop complex software, and tackle challenges that currently require human intuition and planning. While OpenAI has not publicly confirmed specifics about Strawberry, a company spokesperson told Reuters, ´We want our AI models to see and understand the world more like we do. Continuous research into new AI capabilities is a common practice in the industry, with a shared belief that these systems will improve in reasoning over time.´ Strawberry appears to be an evolution of an earlier OpenAI project known as Q*, which garnered internal excitement for its advanced reasoning abilities. Sources who witnessed Q* demos reported its ability to solve complex math and science problems beyond the capabilities of current commercially available AI. While the exact mechanisms remain secret, sources suggest that Strawberry involves a specialised form of ´post-training´ — a process of refining AI models after they´ve been trained on massive datasets. This post-training phase, potentially involving techniques like ´fine-tuning´ and self-generated training data, is crucial for honing the AI´s reasoning abilities. · 6 h sedan
Concerns about artificial intelligence displacing jobs have mainly come from junior workers, but senior-level employees are also feeling pressure to acquire AI skills. Despite stereotypes, older workers may actually have unique advantages in leveraging AI for insights. Industry experts predict a surge in demand for soft skills as technology advances. Reverse mentoring, where senior management learns from younger employees, is seen as a valuable strategy. Some organizations are investing in AI training for their workforce. Nearly a third of U.S. work hours could be automated by generative AI, potentially changing the way business professionals work. · 6 h sedan
Rep. Jennifer Wexton (D-Va.) recently introduced a new AI-generated version of her speaking voice, bringing back a more natural-sounding voice she had lost to a degenerative medical condition. The AI model mimics her cadence, tone, and timbre, allowing her to communicate more effectively. This development has been hailed as a significant moment by her staff and colleagues. Although acknowledging the potential risks of AI technology, Wexton sees it as a tool that can provide opportunities for individuals with disabilities. The adoption of AI voices like Wexton's highlights the need for updated laws and regulations to address the implications of this technology in various fields. · 6 h sedan
Creating datasets for training custom AI models can be a challenging and expensive task. This process typically requires substantial time and resources, whether it’s through costly API services or manual data collection and labeling. The complexity and cost involved can make it difficult for individuals and smaller organizations to develop their own AI models. Meet Augmentoolkit, an AI-powered solution that simplifies and reduces the cost of creating custom datasets for AI models. This tool leverages open-source AI to generate high-quality data quickly and efficiently. Augmentoolkit excels in cost-effectiveness, speed, and quality, making dataset creation and AI training accessible and cost-effective. · 6 h sedan
Brilliant talent has the potential to turn into a career in AI, such is the bedrock in this landscape of AI startups hiring. Whether you´re a researcher, engineer, or product manager—whatever your level of experience or aspiration may be—there´s something that´s going to stack with your experience and ambitions. For once in a lifetime, do not let the power of the AI revolution slip between your fingers. Apply now and be a part of the mission to shape what´s next in technology. · 6 h sedan