Researchers at Penn State developed an electronic tongue using AI to identify differences in similar liquids, achieving over 95% accuracy. The device assesses quality, authenticity, and freshness, with applications in food safety and medical diagnostics. The AI defines its own assessment parameters, improving decision-making. The research, supported by NASA, highlights the potential for broad applications across industries due to the sensor's robustness and practicality.

Wimbledon will implement AI technology for line calling in 2025, replacing human umpires for the first time in 147 years. The Live Electronic Line Calling (Live ELC) system, tested successfully in 2024, uses 12 cameras and microphones to track the ball. This decision aims for maximum accuracy while balancing tradition and innovation. Additionally, AI-powered commentary and analysis were introduced in 2023, developed in partnership with IBM, enhancing the tournament's coverage.

The DOJ is considering breaking up Google after a ruling that it holds a monopoly in the search market. Recommendations include limiting Google's use of products like Chrome and Android to favor its search services and prohibiting certain agreements with Apple and Samsung. Google plans to appeal the ruling, with a decision on remedies expected by August 2025. The DOJ also suggested making search data available to competitors. Google holds 90% of the search market share, generating $48.5 billion in revenue.

Generative AI is making legal actions cheaper and easier, increasing the likelihood of legal challenges from various stakeholders. This shift, combined with a turbulent geopolitical landscape, raises legal risks that resemble mass-produced actions similar to phishing attacks. Companies must adopt cybersecurity strategies to understand vulnerabilities, emerging threats, and develop risk-mitigation and communication plans for stakeholders.

California law AB 2876 mandates AI literacy in K-12 education, updating curricula to include AI principles, applications, limitations, and ethics. Authored by Assemblymember Marc Berman and signed by Governor Gavin Newsom, the law aims to prepare students for an AI-driven future. The California Chamber of Commerce co-sponsored the bill, emphasizing the need for AI skills. Other recent AI-related laws include expanding child pornography laws for AI-generated content and ensuring transparency in AI use in healthcare.

OpenAI is now valued at $157 billion after raising $6.6 billion in a funding round led by Thrive Capital. Major contributions came from Microsoft, SoftBank, Nvidia, and UAE-based MGX. Investors can withdraw funds if OpenAI fails to convert to a fully for-profit company. Apple considered investing but did not participate. OpenAI recently hired its first CFO, Sarah Friar, who helped organize the funding.

The article discusses 12 high-profile AI disasters, highlighting failures in various industries. Examples include Air Canada's chatbot misinformation, Sports Illustrated's use of AI-generated writers, and Gannett's flawed sports articles. Other issues involve discriminatory hiring practices by iTutor Group and Amazon, as well as inaccuracies in healthcare algorithms. The piece emphasizes the risks and consequences of relying on AI and machine learning without proper oversight and understanding.

The article discusses how AI enhances legal services for low-income individuals through two case studies: The California Innocence Project, which uses AI for efficient case reviews, and Housing Court Answers, which employs AI tools to assist tenants with legal issues. Both examples demonstrate AI's potential to improve access to justice and streamline operations in legal aid organizations, emphasizing a human-centered approach and the importance of continuous improvement in AI applications.

OpenAI raised $6.6 billion in the largest venture capital round ever, valuing the company at $157 billion. The round was led by Thrive Capital, with participation from Microsoft, Nvidia, and others. OpenAI is transitioning to a for-profit structure, leading to internal culture clashes and the departure of key employees. The funds will enhance AI research, increase compute capacity, and develop new tools while maintaining a commitment to safety. The investment reflects growing revenue and rising costs.

Rushing for AI ROI can lead to poor investments. Organizations often expect quick returns, but successful AI projects require time and careful planning. Many struggle to find measurable ROI, and targeted AI solutions show more promise. Fear of missing out drives hasty decisions, leading to project failures. Experts recommend starting small and cost-effectively, with realistic expectations for ROI, typically taking 18 to 24 months. A methodical approach is essential for achieving long-term success with AI.

McDermott Will & Emery and Akin have appointed directors of AI, Jeff Westcott and Christopher Cyrus, respectively, to enhance client services through technology. Westcott will focus on AI and emerging technologies at Akin, while Cyrus will lead AI innovation at McDermott. Both firms aim to integrate AI solutions for improved operational efficiency. Other firms like Reed Smith and Latham & Watkins have also made similar hires.

The U.S. Army is testing AI-enabled robot dogs armed with rifles in the Middle East for counter-drone capabilities. These quadrupedal unmanned ground vehicles are being evaluated in Saudi Arabia as part of efforts to explore autonomous systems for military applications. The Pentagon aims to develop cost-effective solutions to rising drone threats, viewing these robot dogs as alternatives to expensive missile systems. The Army's experiments are part of broader initiatives to integrate human-machine capabilities in future combat scenarios.

Opinion 512 addresses the use of generative AI tools by US law firms, emphasizing the need for informed client consent before inputting confidential information. It outlines the risks and benefits of these tools, focusing on self-learning capabilities and the importance of clear communication with clients. The article discusses the implications for legal ethics and the potential impact on generative AI adoption in law firms, while the authors, associated with Zuva, clarify their position on the opinion's relevance to their technology.

California has enacted 18 new AI laws addressing issues like AI risk, training data transparency, privacy, and education. Key laws include SB 896 for risk analysis, AB 2013 for training data disclosure, and regulations on deepfakes and AI in healthcare. Governor Newsom vetoed the controversial SB 1047, advocating for a flexible regulatory approach. The laws aim to manage AI's impact on society while ensuring safety and ethical use.

The article discusses the limitations of Lexis+AI in administrative law research, highlighting its ineffectiveness for complex queries and incomplete access to regulatory materials. It emphasizes the need for critical evaluation of GAI tools by legal researchers and suggests that traditional research methods remain essential, as GAI cannot replace the nuanced work of administrative attorneys.

CISOs must critically assess AI integration in cybersecurity by asking three essential questions: where AI can be most effective, whether there is proof of AI success in specific use cases, and the quality of data provided to AI models. While AI has potential to enhance cybersecurity, it requires careful consideration of established applications and high-quality data to avoid flawed results. A strategic approach is vital for leveraging AI's capabilities in a rapidly evolving threat landscape.

Archaeologists have discovered 303 new geoglyphs near the Nazca Lines in Peru using AI and drones, nearly doubling the known figures. Dating back to 200BC, these smaller geoglyphs depict animals and humans, providing insights into the transition from the Paracas culture to the Nazca civilization. The use of AI allowed for rapid identification of previously undetectable figures, revolutionizing archaeological research in the area.

Generative AI can significantly outperform human CEOs in strategic decision-making, especially in data-driven tasks like product design and market optimization. An experiment in the automotive industry showcased the potential of AI models in these areas, raising questions about the future role of AI in executive positions.

California Governor Gavin Newsom vetoed a bill imposing safety requirements on AI models, siding with Silicon Valley. He argued the bill was too broad and didn't consider deployment contexts. Instead, he signed a less comprehensive bill for AI risk study and plans to develop future legislation with experts. The veto sparked debate, with proponents seeing it as a missed opportunity for regulation, while opponents, including Google and OpenAI, argued it would burden developers. Newsom's decision reflects his tech-friendly stance amid concerns about AI's impact.

At least 26 U.S. states are regulating generative AI in elections due to concerns over misinformation and voter suppression. Nineteen states have passed laws against deepfakes, while others are considering similar measures. Experts warn that without federal regulations, state efforts will be insufficient to address the evolving challenges posed by AI in political communications.

Security researcher Johann Rehberger discovered a vulnerability in ChatGPT's long-term memory feature, allowing attackers to plant false memories and exfiltrate user data indefinitely. After reporting the issue to OpenAI, which classified it as a safety concern, Rehberger created a proof-of-concept exploit that sent all user input to a malicious server. OpenAI issued a partial fix, but the risk of prompt injection remains, prompting users to monitor and manage their stored memories carefully.

Rising power demand from data centers is revitalizing the US offshore wind industry, according to Ørsted's CEO. The AI boom is shifting perceptions, with tech companies seen as allies in financing clean energy. A notable deal between Microsoft and Constellation Energy to restart the Three Mile Island nuclear plant exemplifies how data center demand can be met sustainably. However, challenges remain, including uranium supply and the need for additional gas turbines, indicating that some emissions may still increase despite the push for clean energy.

An AI model, TxGNN, developed by Harvard Medical School, identifies existing drugs for repurposing to treat over 17,000 rare diseases. It outperforms existing models by nearly 50% in drug candidate identification and provides rationale for its recommendations. The tool aims to close treatment gaps for rare conditions and is available for free to clinicians. The approach leverages known drug safety profiles, potentially accelerating the discovery of new therapies more efficiently than traditional methods.

The article discusses "Privilege Expansion" through AI, which enhances access to services like education, healthcare, and personal styling by making them more affordable and personalized. It highlights how AI can disrupt traditional roles and democratize access to previously expensive services, predicting the rise of new companies leveraging this trend. Examples include AI tutors, healthcare bots, and virtual stylists, emphasizing the potential for AI to transform consumer experiences and reduce barriers to access.

Generative AI is a rapidly emerging technology with significant economic implications tied to its adoption rates. A survey in August 2024 found that 39% of U.S. adults aged 18-64 had used generative AI, with over 24% of workers using it weekly and nearly 11% daily. Its adoption is occurring faster than that of personal computers and the internet, and it is classified as a general-purpose technology applicable across various jobs and tasks.

Microsoft introduced Correction, a tool to revise AI-generated text that may contain errors. While it aims to improve reliability, experts express skepticism about its effectiveness and potential new issues. The tool is part of Microsoft’s Azure AI Content Safety API and can be used with various AI models. Concerns persist about the accuracy of AI outputs and the implications of relying on such technology in critical fields. Microsoft faces pressure to demonstrate the value of its AI investments amid doubts about its long-term strategy.

An AI system has achieved 100% success in solving CAPTCHA tests, which are designed to differentiate humans from bots. Developed by Andreas Plesner and colleagues at ETH Zurich, the AI model, named YOLO, was trained on thousands of images and specifically tackled Google's reCAPTCHAv2 challenges.

Middle Eastern sovereign wealth funds are significantly investing in AI startups, with funding increasing fivefold over the past year. Key players include Saudi Arabia, UAE, Kuwait, and Qatar, with notable investments in OpenAI and partnerships for AI infrastructure. Concerns about human rights issues in Saudi Arabia persist, but the U.S. sees these investments as a geopolitical advantage against rivals like China.

The U.N. advisory body proposed seven recommendations for AI governance, including establishing a panel for reliable scientific knowledge, creating a global AI fund, and forming a global AI data framework. The recommendations aim to address AI-related risks and gaps in governance, especially as AI use grows rapidly, raising concerns about misinformation and control by a few multinational companies.

82% of UK lawyers are adopting AI for faster legal work, a significant increase from 2023. Key benefits include quicker delivery (71%), improved client service (54%), and competitive advantage (53%). Many firms are adjusting pricing structures due to AI. Concerns remain about AI accuracy, but confidence in AI tools linked to reliable legal sources is growing.

Nvidia experienced its largest single-day valuation loss, with stock falling 9.5% due to concerns about AI and the US economy. The article is available exclusively to Business Insider subscribers.

LinkedIn has opted users into training AI models using their data without consent. Users can opt-out via account settings, but this won't affect past data usage. LinkedIn claims to use privacy-enhancing technologies to protect personal data and does not train models on users in the EU, EEA, or Switzerland. This move follows Meta's admission of similar practices.

The document evaluates Retrieval-Augmented Generation (RAG) using Large Language Models (LLMs) and introduces FRAMES, a dataset for assessing LLMs' factuality, retrieval, and reasoning abilities. It highlights that state-of-the-art LLMs achieve only 0.40 accuracy without retrieval, improving to 0.66 with a multi-step retrieval pipeline. The aim is to enhance the evaluation and robustness of RAG systems through a unified framework that addresses integration of information from multiple sources.

A study by Common Sense Media reveals that Black teenagers in the US are twice as likely to be falsely accused of using AI tools for homework compared to their white and Latino peers. The report highlights racial biases in AI detection software and the education system, exacerbating disciplinary disparities among marginalized groups and negatively impacting academic performance.

Google.org [http://google.org/] announces over $25M in funding for five education organizations to enhance AI skills for over 500,000 educators and students in the U.S. Initiatives include AI curriculums and teacher training, aimed at equitable access to AI resources. Organizations involved include ISTE, 4-H, aiEDU, CodePath, and STEM From Dance, focusing on diverse communities and closing educational gaps.

Salesforce is investing over $50 million in free AI training through 2025, offering hands-on courses and certifications via its Trailhead platform. The company will open AI Centers globally, including a pop-up in San Francisco, to help upskill employees and communities. Salesforce aims to address the AI skills gap and has already helped hundreds of thousands develop technical skills.

AI experts are crowdsourcing "Humanity's Last Exam" to challenge advanced AI systems with difficult questions. Organized by the Center for AI Safety and Scale AI, submissions are due by November 1. The exam will focus on abstract reasoning and exclude topics on weapons. Winners will co-author a related paper and can win up to $5,000. The test aims to evaluate AI's capabilities beyond previous benchmarks.

Microsoft and BlackRock are forming a partnership, GAIIP, to raise up to $100 billion for AI data centers and energy infrastructure. The initiative aims to gather $30 billion initially, with a future goal of $100 billion. Other participants include Global Infrastructure Partners and MGX. The partnership focuses on sustainable infrastructure to support AI advancements and address the growing demand for data center capabilities.

Salesforce is shifting its AI strategy, introducing unsupervised AI agents to handle tasks like customer service. The company will charge $2 per conversation, adapting its business model amid potential job losses. CEO Marc Benioff emphasized the technology's ability to expand workforce capacity without hiring. Despite the AI hype, software vendors like Salesforce have seen limited revenue gains compared to hardware makers like Nvidia.

The article surveys trustworthiness in Retrieval-Augmented Generation (RAG) systems, highlighting their potential to enhance Large Language Models (LLMs) while addressing risks of generating undesirable content. It proposes a framework assessing trustworthiness across six dimensions: factuality, robustness, fairness, transparency, accountability, and privacy. The authors review existing literature, create an evaluation benchmark, and identify future research challenges to improve RAG systems' trustworthiness in real-world applications.

A Canadian study found that the AI tool Chartwatch reduced unexpected hospital deaths by 26%. Developed at St. Michael's Hospital, it alerts nurses to patient deterioration by analyzing medical records. The study involved over 13,000 admissions and showed significant improvements in patient outcomes, highlighting the potential of AI in healthcare despite the need for further research and broader implementation.

The article discusses a potential "subprime AI crisis" in the tech industry, where companies heavily invest in generative AI without clear profitability. It highlights concerns over cultural issues within firms like Microsoft, reliance on big tech for cloud services, and the risk of a market collapse as demand for AI features may not sustain, leading to financial instability across the sector.

The article discusses the challenges enterprises face in building data pipelines and AI infrastructure. It outlines phases for getting enterprise-ready for AI, including starting with cloud providers, scaling solutions, and optimizing costs. It emphasizes the importance of continuous data management and the need for robust inference hosting models, while highlighting the competitive advantage of effective data pipelines in AI programs.

Data center emissions from Google, Microsoft, Meta, and Apple may be 662% higher than reported. The rise of AI increases energy demands, complicating emissions transparency. Companies use renewable energy certificates for accounting, leading to discrepancies between reported and actual emissions. Despite claims of carbon neutrality, emissions are projected to rise significantly as data centers' electricity demand doubles by 2030.

EvenUp, a San Francisco-based legal AI startup, is in talks to raise funding at a $1 billion valuation. The company develops AI software for personal injury lawyers to compile claims. Current investor Bain Capital Ventures may lead the round, which would double its previous valuation. EvenUp has raised about $100 million in funding over three rounds in just over a year.

The article critiques current legal tech benchmarks, particularly Paxton AI and BigLaw Bench, for lacking relevance to real legal workflows. It advocates for open, multi-stakeholder benchmarks that accurately reflect legal tasks and customer impact. The author emphasizes the need for better evaluation methods and user-centric metrics in assessing AI performance in legal contexts.

Fei-Fei Li has raised $230 million for her new AI startup, World Labs, with investors including Andreessen Horowitz, Ashton Kutcher, and Nvidia. The company aims to develop software that utilizes images and data to create "large world models" for decision-making in three-dimensional environments. This funding reflects ongoing investor interest in advanced AI technologies.

Meta is restarting plans to train AI using public posts from U.K. users on Facebook and Instagram, incorporating regulatory feedback for a revised opt-out approach. Users will receive notifications, and the company aims to reflect British culture in its AI models. Previous regulatory concerns led to a pause, but Meta is now proceeding, despite ongoing scrutiny regarding data protection compliance.

The article discusses the impact of AI on the legal profession, highlighting its potential to disrupt traditional business models. It covers themes such as data protection, efficiency improvements, job security concerns, and the need for in-house training. While some law firms are adopting AI tools for efficiency, there are worries about the long-term effects on legal training and job roles.

AI's potential is limited by its current design, often reduced to simple tasks activated by buttons. While AI tools enhance productivity, they fail to redefine workflows or eliminate mundane tasks. True innovation requires startups to automate knowledge work entirely, moving beyond mere enhancements to existing software. The article emphasizes the need for ambitious visions that transcend current limitations.

Facebook admitted to scraping public data from Australian adult users to train AI, with no opt-out option, unlike in the EU. Meta's privacy director confirmed that all public posts since 2007 could be used unless set to private. The inquiry highlighted concerns over privacy laws in Australia compared to Europe, with calls for reform to protect user data.

UBS Group AG has created an AI tool that analyzes over 300,000 companies in under 20 seconds to assist clients with potential M&A deals. The tool, described as an M&A "co-pilot," generates buy-side ideas and identifies potential buyers in sell-side situations, according to Brice Bolinger, UBS head of M&A Switzerland, at a conference in Zurich.

Waymo's self-driving cars are involved in fewer crashes than human drivers, with most serious incidents caused by human drivers. Waymo reports a significant reduction in injury-causing crashes compared to typical human drivers in San Francisco and Phoenix. Despite some data errors, the overall analysis suggests that Waymo vehicles are safer on the road.

Nevada will use a Google AI system to recommend decisions for unemployment appeals hearings, aiming to expedite the process. Concerns about accuracy and potential bias have been raised, as the AI analyzes hearing transcripts to issue recommendations. The system intends to address a backlog of cases but must ensure human oversight to prevent errors that could affect claimants' benefits.

BP has signed a five-year deal with Palantir to enhance decision-making using AI in its oil and gas operations. The partnership aims to improve data analysis and operational performance through a "digital twin" of BP's sites. This follows a decade-long collaboration and includes measures to ensure safe AI deployment. BP is also increasing its tech investments under CEO Murray Auchincloss.

ESPN's AI-generated recap of Alex Morgan's final match failed to mention her, despite her significance as a two-time World Cup winner. The recap focused on the game's outcome and other players, raising concerns about the quality of AI-generated content. ESPN later published a separate article about Morgan's emotional farewell, but it was less visible than the AI recap.

The article discusses exploring novel research ideas for code generation using LLMs, focusing on temporal dependencies. It includes reviewer evaluations on novelty, feasibility, effectiveness, and excitement. The proposed methods are compared against baselines, revealing varying success rates. The execution agent's performance is analyzed, highlighting the need for careful verification of generated code implementations.

California lawmakers passed over a dozen bills to regulate AI, focusing on safety, discrimination, and protecting children. Key legislation includes Senate Bill 1047, addressing potential AI threats, and other bills targeting deepfakes and child safety. However, some proposed laws aimed at preventing discrimination were shelved, raising concerns about industry influence on regulation. The effectiveness of these measures remains uncertain amid ongoing debates about AI's societal impact.

Ilya Sutskever, co-founder of OpenAI, launched a new AI startup, Safe Superintelligence (SSI), raising $1 billion to develop safe AI systems. Valued at $5 billion, SSI aims to hire top talent and acquire computing power. Investors include Andreessen Horowitz and Sequoia Capital. Sutskever emphasizes a different approach to scaling AI compared to his previous work at OpenAI.

AlphaProteo is a new AI system that designs novel proteins to bind to target molecules, enhancing drug development and disease understanding. It outperforms existing methods in binding strength and success rates. Trained on extensive protein data, it aims to accelerate biological research while addressing biosecurity concerns through responsible development and collaboration with the scientific community.

OpenAI has surpassed 1 million paid users for its corporate ChatGPT versions, including ChatGPT Team and Enterprise, reflecting strong business demand. The company introduced these products to boost revenue and compete in the AI market. While growth is notable, the average number of users per corporate customer remains unclear. The majority of users are in the US, with significant interest from Germany, Japan, and the UK.

The US, EU, and UK are set to sign the world's first international AI treaty, focusing on human rights and accountability for AI systems. The treaty mandates respect for citizens' rights and provides legal recourse for violations. Meanwhile, the EU has implemented its own AI regulations, and California is drafting state-level AI laws, reflecting ongoing global efforts to regulate AI development and deployment.

The article critiques Chatbot Arena, a benchmark for AI models, highlighting biases from human raters and the lack of transparency in its evaluation process. While it provides real-time insights into model performance, concerns about user representation and commercial ties raise questions about its reliability as a definitive standard for measuring AI intelligence.

The U.S. Department of Justice has subpoenaed Nvidia as part of an antitrust investigation into its practices. Concerns include Nvidia making it difficult for buyers to switch suppliers and penalizing those not using its AI chips. The company faces scrutiny from regulators in multiple countries, and its stock has seen significant fluctuations amid investor concerns about AI investments.

X has permanently stopped Grok AI from using EU citizens' tweets following a court action by Ireland's Data Protection Commissioner. The DPC raised concerns about the processing of personal data for AI training without consent. The issue will now be referred to the European Data Protection Board for further adjudication and clarity on data processing regulations in AI models.

Companies have doubled their generative AI deployment efforts, with 66% of CIOs working on AI copilots, up from 32%. Microsoft Azure leads in AI inference spending, with 60% of respondents planning to increase investment. OpenAI models are used by 70% of companies, while Google Cloud usage is at 18%. Despite progress, Gartner predicts 30% of Gen AI projects may be abandoned by 2025.

Gartner reports that one-third of generative AI projects will be abandoned by 2025 due to struggles in proving value and high costs, ranging from $100,000 to $20 million. Despite challenges, some companies report benefits like revenue increases and productivity gains. The research highlights the need for a higher tolerance for future financial investments and warns of inadequate risk controls and poor data as potential pitfalls.

Volkswagen is introducing its ChatGPT voice assistant in the U.S. for models equipped with the IDA voice assistant, starting September 6. The rollout includes the 2025 Jetta, Jetta GLI, and 2024 ID.4 vehicles. A subscription is required, but the ID.4 and ID. Buzz offer three years of free access.

The article discusses AI safety, emphasizing the need for proactive measures, societal resilience, and adaptive research infrastructure. It outlines strategies for evaluating risks, stress-testing safety cases, and addressing AI welfare. As AI systems become more advanced, the focus shifts to ensuring alignment and making informed decisions, ultimately advocating for democratic oversight in high-stakes scenarios.

Canva is increasing subscription prices for its Teams service by over 300% due to new generative AI features. Users in the US may see annual fees rise from $120 to $500, while Australian users face similar hikes. Existing subscribers are being transitioned to the new pricing model, which has sparked backlash and potential cancellations in favor of Adobe products.

California passed a law requiring consent for using deceased performers' likenesses in AI-created replicas. SAG-AFTRA supports the legislation to protect estates' rights. The law, AB 1836, awaits Governor Newsom's signature, following another bill that tightens consent for living performers. The legislation aims to ensure ethical use of AI in media, reflecting ongoing efforts to enhance performer protections.

Amazon will launch a new AI-powered Alexa in October, using Anthropic's Claude instead of its own AI due to performance issues. The upgraded "Remarkable" Alexa will offer advanced features and be available as a paid subscription service. Amazon has invested $4 billion in Anthropic, aiming to boost Alexa's revenue amid challenges in the voice assistant market.

OpenAI is negotiating deals with publishers to address copyright issues after scraping their content without permission. These deals aim to prevent lawsuits, improve real-time access to information, and enhance OpenAI's reputation. The New York Times has filed a significant lawsuit against OpenAI, claiming copyright infringement. The outcome could reshape the AI landscape, affecting competition and the sustainability of answer engines.

Meta's Llama AI models are being utilized by companies like Goldman Sachs, AT&T, Nomura Holdings, DoorDash, and Accenture for tasks such as customer service and document review. The models have been downloaded nearly 350 million times since their release. Meta aims to establish Llama as an industry standard by providing competitive, open AI technology.

OpenAI announced that ChatGPT has over 200 million weekly active users, doubling since last November. Despite its leadership in generative AI chatbots, competition is fierce with major tech companies like Microsoft, Google, and Meta also vying for users. Additionally, 92% of Fortune 500 companies utilize OpenAI's products, and usage of its automated API has doubled since the release of GPT-4o mini in July.

OpenAI and Anthropic have signed agreements with the U.S. government for AI research and testing, amid regulatory scrutiny. The U.S. AI Safety Institute will access their AI models for evaluation and collaborate on safety improvements. This initiative aims to ensure safe and ethical AI development and is part of a broader effort to establish U.S. leadership in responsible AI practices.

Meta's open-source Llama AI models have seen a tenfold increase in downloads, reaching nearly 350 million. Major companies like Zoom, Spotify, and Goldman Sachs are adopting Llama for various applications. The rise of open-source AI is challenging closed-source models, prompting companies like OpenAI to reduce prices and innovate further. Meta's strategy of openness is fostering a vibrant AI ecosystem.

Employees primarily use AI to double-check work, contrary to management's intentions for initial research and workflow management. A lack of education and training contributes to this disconnect. Companies like PwC and JPMorgan Chase are implementing training initiatives to address AI skills gaps, which threaten overall enterprise progress.

Legalese is difficult to understand due to its complex language and structure, which serves to convey authority. A MIT study found that even non-lawyers naturally use convoluted language when writing laws. Legal documents require precision and adherence to precedent, resulting in outdated terminology. The style persists partly to intimidate or overwhelm readers, despite many lawyers disliking it.

OpenAI is reportedly in talks to raise over $1 billion at a valuation exceeding $100 billion, led by Thrive Capital. Microsoft is expected to participate. This funding round aims to address OpenAI's financial needs, as it faces potential losses of nearly $5 billion by year-end despite annualized revenues surpassing $3.4 billion.

Researchers developed AINU, an AI that distinguishes cancer cells from normal cells and detects early viral infections at nanoscale resolution. Using STORM microscopy, AINU analyzes cell nuclei, identifying changes in DNA organization. This technology could enhance diagnostic accuracy and speed, aiding in treatment and vaccine development, though clinical application faces challenges due to equipment limitations.

The article discusses why AI struggles with spelling, using "strawberry" as an example. It explains that large language models (LLMs) don't understand text as humans do, relying on numerical representations instead. The piece also mentions OpenAI's new project, code-named Strawberry, aimed at improving reasoning capabilities, and highlights advancements in AI systems for math reasoning by Google DeepMind.

The article discusses the high costs of AI compute, comparing cloud services and data centers. It highlights the importance of GPU selection, pricing, and availability, noting that many startups benefit from specialized AI cloud providers. It also addresses the evolving landscape of AI infrastructure costs and the potential barriers for new entrants in the market due to high training expenses.

Chinese and US scientists developed an AI model, ActFound, to enhance drug development. It surpasses existing models in bioactivity prediction, addressing challenges like limited data labeling and assay incompatibility. The research, published in Nature Machine Intelligence, highlights ActFound's performance comparable to traditional computational methods.

The article discusses a vulnerability in Microsoft 365 Copilot that allows attackers to steal personal information through prompt injection and data exfiltration techniques, including ASCII smuggling. It details the exploit chain, responsible disclosure process, and recommendations for mitigation. The author notes that while Microsoft has implemented some fixes, prompt injection remains a potential threat.

Drones, including a specialized "drone dog," are being used in Ukraine to detect land mines, enhancing safety for humans. AI technology helps identify and locate mines, with Ukraine testing various drone systems. International support includes funding for demining efforts. The article highlights advancements in mine detection technology and the ongoing challenges of clearing Ukraine's heavily mined territories.

75% of the latest Y Combinator cohort are AI startups, the highest in history. Y Combinator has a history of producing successful companies like Airbnb and Stripe. The article discusses the implications of this trend and highlights several AI startups, including Rastro and Mindely. The rise in AI interest may reflect both founder choice and market demand.

Meta CEO Mark Zuckerberg and Spotify CEO Daniel Ek criticize the EU's AI regulations, claiming they hinder open-source innovation. They advocate for simpler, unified rules to promote technology adoption and competition against large companies. The article discusses the EU AI Act's limitations on open-source systems and highlights Zuckerberg's willingness to release a significant AI model as open source to foster innovation and reduce dependence on major firms.

WSU researchers developed an AI algorithm using Bayesian Optimization to enhance 3D-printing efficiency for intricate organ models. This method optimizes printing settings, improving the manufacturing of complex designs for biomedical devices and other applications. The study aims to streamline the process, saving time and resources while achieving high-quality prints.

Amazon software engineers may need to adapt to new roles beyond coding due to AI advancements, according to AWS CEO Matt Garman. He emphasized that job expectations will shift, allowing developers to focus on understanding customer needs and acquiring new skills. While AI could streamline tasks, concerns about job losses persist, with experts predicting significant changes in white-collar work over the next few years.