Maximilian Schreiner@THE DECODER
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Google's Gemini 2.5 Pro is making waves as a top-tier reasoning model, marking a leap forward in Google's AI capabilities. Released recently, it's already garnering attention from enterprise technical decision-makers, especially those who have traditionally relied on OpenAI or Claude for production-grade reasoning. Early experiments, benchmark data, and developer reactions suggest Gemini 2.5 Pro is worth serious consideration.
Gemini 2.5 Pro distinguishes itself with its transparent, structured reasoning. Google's step-by-step training approach results in a structured chain of thought that provides clarity. The model presents ideas in numbered steps, with sub-bullets and internal logic that's remarkably coherent and transparent. This breakthrough offers greater trust and steerability, enabling enterprise users to validate, correct, or redirect the model with more confidence when evaluating output for critical tasks. Recommended read:
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Megan Crouse@eWEEK
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Cloudflare has launched AI Labyrinth, a new tool designed to combat web scraping bots that steal website content for AI training. Instead of simply blocking these crawlers, AI Labyrinth lures them into a maze of AI-generated content. This approach aims to waste the bots' time and resources, providing a more effective defense than traditional blocking methods which can trigger attackers to adapt their tactics. The AI Labyrinth is available as a free, opt-in tool for all Cloudflare customers, even those on the free tier.
The system works by embedding hidden links within a protected website. When suspicious bot behavior is detected, such as ignoring robots.txt rules, the crawler is redirected to a series of AI-generated pages. This content is "real looking" and based on scientific facts, diverting the bot from the original website's content. Because no human would deliberately explore deep into a maze of AI-generated nonsense, anyone who does can be identified as a bot with high confidence. Cloudflare emphasizes that AI Labyrinth also functions as a honeypot, allowing them to identify new bot patterns and improve their overall bot detection capabilities, all while increasing the cost for unauthorized web scraping. Recommended read:
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Divya@gbhackers.com
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OpenAI has announced a major update to its Security Bug Bounty Program, increasing the maximum reward to $100,000 for critical vulnerability reports. This represents a fivefold increase from the previous $20,000 payout, signaling the company's commitment to enhancing the security and reliability of its AI platforms. The enhanced program seeks to attract top security researchers worldwide to identify and fix potential threats before they escalate into significant issues.
The increased bug bounty is part of a broader suite of cybersecurity initiatives, including an evolving Cybersecurity Grant Program that has already funded 28 research projects. To further incentivize participation, OpenAI is introducing limited-time bonus promotions, with the first focusing on IDOR access control vulnerabilities. This reflects OpenAI's commitment to rewarding meaningful, high-impact security research that helps protect users and maintain trust in its systems. Recommended read:
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@Latest from Laptop Mag
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Apple is reportedly developing a new AI-powered health app, codenamed "Project Mulberry," aimed at revolutionizing health tracking on iPhones. Expected to launch alongside iOS 19, the app will use AI algorithms to analyze health metrics from Apple devices and third-party sources. This comprehensive approach will enable the app to provide personalized insights and actionable recommendations to improve overall wellness, potentially transforming how users manage their health.
The app's AI coach will look at data from devices such as Apple Watch and potentially AirPods, which may gain future health-tracking features like heart-rate monitoring and temperature sensing. Apple is collaborating with health experts, including doctors, nutritionists, and therapists, to train the AI agents and create educational videos for the service, which may be called "Health+". The goal is to create an AI coach that can give personalized advice on sleep, exercise, mental well-being and other health issues. Recommended read:
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Vasu Jakkal@Microsoft Security Blog
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Microsoft and Google are enhancing their AI security measures and capabilities to address the evolving landscape of artificial intelligence. Microsoft is prioritizing secure AI integration, focusing on data protection and ensuring AI systems are transparent and compliant. Microsoft Secure, an online event, showcased AI innovations for the security lifecycle, providing tools for smarter, faster, and stronger security. The event highlighted how to secure data used by AI, AI apps, and AI cloud workloads, as well as how to protect AI investments from cyberthreats through data security and compliance tools.
NASA is leveraging Microsoft AI capabilities through its new Earth Copilot to democratize access to complex Earth Science data. This empowers scientists to discover patterns and gain insights from the vast amount of data collected by NASA's satellites, which can inform policy decisions and support various industries. Meanwhile, Google is developing Gemini to enable it to take actions within apps, potentially transforming AI assistants into more useful tools. Google is also releasing the GEMMA-3 models to improve the capabilities of the Gemini project. Recommended read:
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Shaun Nichols@scmagazine.com
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North Korea is reportedly launching a new cybersecurity research unit called Research Center 227, which will be housed within the intelligence agency Reconnaissance General Bureau (RGB). The unit will focus on AI-based hacking and stealing digital assets. This strategic move aims to enhance the regime’s capabilities in cyber warfare, particularly in offensive hacking technologies and programs. It is reported that the new facility is located in Pyongyang and at least 90 cybersecurity professionals have been assigned to the unit.
The "Research Center 227" is reportedly focused on using AI for cyberattacks. North Korean hackers are also known to masquerade as remote IT workers, recruiters, and even venture capitalists to steal cryptocurrency and sensitive information. This tactic allows them to gain employment at unsuspecting companies around the world, steal money, or intellectual property valuable to the totalitarian state. Recommended read:
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S.Dyema Zandria@The Tech Basic
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Elon Musk has officially merged his AI startup xAI with the social media platform X, formerly known as Twitter, in an all-stock transaction. The deal, announced on Friday, values xAI at $80 billion and X at $33 billion, or $45 billion including debt. This move combines two of Musk's prominent companies, aiming to create a unified AI-social media powerhouse.
Musk stated that the future of xAI and X are now "intertwined," and that this combination will unlock immense potential. The integration will combine data, models, compute, distribution, and talent from both companies. xAI's Grok chatbot is already integrated into X and utilizes the platform's vast user data for training. The combined company will focus on delivering smarter, more meaningful experiences while seeking truth and advancing knowledge. Recommended read:
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Koray Kavukcuoglu@The Official Google Blog
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Google has unveiled Gemini 2.5 Pro, touted as its "most intelligent model to date," enhancing AI reasoning and workflow capabilities. This multimodal model, available to Gemini Advanced users and experimentally on Google’s AI Studio, outperforms competitors like OpenAI, Anthropic, and DeepSeek on key benchmarks, particularly in coding, math, and science. Gemini 2.5 Pro boasts an impressive 1 million token context window, soon expanding to 2 million, enabling it to handle larger datasets and understand entire code repositories.
Gemini 2.5 Pro excels in advanced reasoning benchmark tests, achieving a state-of-the-art score on datasets designed to capture human knowledge and reasoning. Its enhanced coding performance allows for the creation of visually compelling web apps and agentic code applications, along with code transformation and editing. Google plans to release pricing for Gemini 2.5 models soon, marking a significant step in their goal of developing more capable and context-aware AI agents. Recommended read:
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ross.kelly@futurenet.com (Ross@Latest from ITPro
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Sourcetable has launched what it's calling the world's first "self-driving spreadsheet," an AI-powered tool designed to democratize data analysis. The San Francisco-based startup secured $4.3 million in seed funding led by Bee Partners, with participation from investors like Hugging Face CTO Julien Chaumond and GitHub co-founder Tom Preston-Werner. The platform aims to simplify spreadsheet use, making advanced functions accessible to everyone.
The AI-powered spreadsheet allows users to interact with data using natural language, eliminating the need for complex formulas. Users can issue commands through voice or keyboard to analyze data, create financial models, and generate pivot tables. The "autopilot mode" enables the AI to execute multi-step workflows, interpret inconsistent data, and validate outputs in real-time, all while working with existing Excel files. Sourcetable's mission is to empower the 750 million spreadsheet users, many of whom struggle with basic functions, to become proficient data analysts. Recommended read:
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kevinokemwa@outlook.com (Kevin@windowscentral.com
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Bill Gates, the co-founder of Microsoft, has recently expressed his strong belief in the transformative potential of artificial intelligence (AI) across various sectors. During an interview, Gates stated that AI could even lead to a two-day work week for professionals within the next decade, drastically altering the current work landscape. He highlighted AI's capability to automate tasks and streamline processes, ultimately freeing up individuals to focus on higher-value activities and potentially reducing the required work hours.
Gates also emphasized that humans won't be needed for most things in the future, as AI will be capable of handling repetitive tasks, making things, moving things, and growing food. Furthermore, Gates believes that AI can also significantly improve mental healthcare and education. He suggests AI could help individuals with mild symptoms, improve educational material, and change how creative work is done. Microsoft, which has a big stake in OpenAI, is all in on AI as well and is actively investing in and developing AI solutions. Recommended read:
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Eira May@Stack Overflow Blog
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AI agents are rapidly transforming business operations across various sectors, promising to automate tasks, enhance efficiency, and streamline workflows. Companies are integrating these intelligent systems to modernize customer experiences and unlock enterprise value. To fully leverage the potential of AI agents, businesses need to ensure they have real-time and seamless connections to company databases, internal communication tools, and documents. This integration is crucial for the agents to provide contextually aware and valuable assistance.
Saltbox Mgmt, a Salesforce consulting company, has successfully implemented Agentforce to modernize the buying experience, resulting in improved efficiency and enhanced personalization. Moreover, the integration of AI in real estate technology presents opportunities for strategic transformation, boosting efficiency, value, and decision-making capabilities. However, AI assistants are only as effective as the knowledge base they are connected to, highlighting the importance of comprehensive and up-to-date internal data. Recommended read:
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@sciencedaily.com
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References:
The Quantum Insider
, www.sciencedaily.com
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Recent advancements in quantum computing research have yielded promising results. Researchers at the University of the Witwatersrand in Johannesburg, along with collaborators from Huzhou University in China, have discovered a method to shield quantum information from environmental disruptions, potentially leading to more reliable quantum technologies. This breakthrough involves manipulating quantum wave functions to preserve quantum information, which could enhance medical imaging, improve AI diagnostics, and strengthen data security by providing ultra-secure communication.
UK startup Phasecraft has announced a new algorithm, THRIFT, that improves the ability of quantum computers to model new materials and chemicals by a factor of 10. By optimizing quantum simulation, THRIFT enables scientists to model new materials and chemicals faster and more accurately, even on today’s slower machines. Furthermore, Oxford researchers have demonstrated a 25-nanosecond controlled-Z gate with 99.8% fidelity, combining high speed and accuracy in a simplified superconducting circuit. This achievement advances fault-tolerant quantum computing by improving raw gate performance without relying heavily on error correction or added hardware. Recommended read:
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Michael Nuñez@AI News | VentureBeat
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AiThority
, AI News | VentureBeat
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AI security startup Hakimo has secured $10.5 million in Series A funding to expand its autonomous security monitoring platform. The funding round was led by Vertex Ventures and Zigg Capital, with participation from RXR Arden Digital Ventures, Defy.vc, and Gokul Rajaram. This brings the company’s total funding to $20.5 million. Hakimo's platform addresses the challenges of rising crime rates, understaffed security teams, and overwhelming false alarms in traditional security systems.
The company’s flagship product, AI Operator, monitors existing security systems, detects threats in real-time, and executes response protocols with minimal human intervention. Hakimo's AI Operator utilizes computer vision and generative AI to detect any anomaly or threat that can be described in words. Companies using Hakimo can save approximately $125,000 per year compared to using traditional security guards. Recommended read:
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@cyberalerts.io
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Europol has issued a warning about the escalating use of Artificial Intelligence by organized crime groups, detailed in its EU-SOCTA 2025 report. Criminal networks are increasingly exploiting AI to automate tasks, expand their operations, and evade law enforcement, making their activities harder to detect. The agency highlights how the inherent accessibility, adaptability, and sophistication of AI render it a potent tool for criminals, who are leveraging it for cyberattacks, AI-driven fraud, and the weaponization of digital technologies.
The report emphasizes that nearly every type of serious crime now has a digital component, with the internet becoming the primary theater for organized crime and data serving as the new currency of power. Criminal networks are also increasingly acting as proxies in the service of hybrid threat actors, cooperating with state-aligned entities for mutual benefit. This dangerous trend also weakens the EU’s institutions and social fabric, with Europol revealing how the European criminal underworld is evolving, posing a growing threat to security and stability. Recommended read:
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Matthias Bastian@THE DECODER
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Amazon has launched Nova Act, an AI agent toolkit designed to automate workflows by enabling AI agents to perform tasks autonomously within web browsers. The toolkit includes the Nova Act SDK, which helps developers break down complex processes into manageable commands. This allows the agents to handle tasks such as web searching, payment processing, and answering questions based on on-screen content. The release of Nova Act represents Amazon's entry into the growing field of AI agents, which some industry observers consider a potential growth frontier for AI, with implications for automating white-collar jobs.
Developers can use the Nova Act SDK to build AI agents capable of completing step-by-step tasks in a browser, like submitting time-off requests or placing recurring online orders, without relying on APIs. The toolkit also enables developers to add detailed instructions to improve task reliability and integrate API calls. Amazon aims to make its AI models more accessible to developers and tech enthusiasts, positioning Nova Act as a way to explore the capabilities of Amazon Nova and inspire builders to test and implement ideas at scale in Amazon Bedrock. Recommended read:
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do son@Daily CyberSecurity
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A server-side request forgery (SSRF) vulnerability, identified as CVE-2024-27564, is being actively exploited within OpenAI's ChatGPT infrastructure. Cybersecurity firm Veriti has uncovered over 10,000 attack attempts in a single week originating from a single malicious IP address. The vulnerability allows attackers to inject malicious URLs into input parameters, forcing the application to make unintended requests. Despite being classified as a medium-severity issue, this flaw poses significant risks to organizations.
Veriti's research indicates that financial institutions are primary targets due to their reliance on AI-driven services and API integrations, making them susceptible to SSRF attacks that can compromise internal resources and sensitive data. Government organizations in the U.S. have also been targeted. Alarmingly, 35% of organizations are inadequately protected due to misconfigurations in their Intrusion Prevention Systems (IPS), Web Application Firewalls (WAF), and traditional firewalls, highlighting the importance of vigilance against all threats, regardless of severity. Recommended read:
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Louis Columbus@AI News | VentureBeat
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References:
The Cloudflare Blog
, venturebeat.com
Cloudflare is addressing the growing need for robust cyber security in the face of emerging technologies and cyber threats, particularly concerning quantum computing. They've announced that organizations can now protect their sensitive corporate network traffic against potential quantum threats through their Zero Trust platform. This allows customers to tunnel corporate network traffic through Cloudflare's Zero Trust platform using post-quantum cryptography, effectively upgrading network security without requiring customers to manage the complex cryptographic updates themselves.
Recent breakthroughs in quantum computing highlight the vulnerability of conventional cryptography, and Cloudflare has been at the forefront of developing and implementing post-quantum cryptography since 2017. The National Institute of Standards and Technology (NIST) has also set a timeline to phase out RSA and Elliptic Curve Cryptography (ECC) by 2035, emphasizing the urgency of this transition. Cloudflare reports that over 35% of the non-bot HTTPS traffic that touches Cloudflare today is post-quantum secure, and users of major browsers like Chrome, Edge, and Firefox already benefit from this enhanced security. Recommended read:
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Alexey Shabanov@TestingCatalog
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References:
eWEEK
, TestingCatalog
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Google is enhancing its AI ecosystem with new tools and features designed to boost productivity and simplify complex tasks. NotebookLM, Google's AI-powered research assistant, receives major updates including a revamped interface and the "Discover Sources" feature. This feature allows users to search for keywords and import relevant sources into their notebook knowledge base, identifying around 10 results per search and giving users manual control over their knowledge base.
Additionally, Google is integrating AI into travel planning with new tools in Google Maps. Users can now create trip itineraries in AI Overviews by entering travel-related queries into Google, which generates tailored suggestions, flight and hotel results, and an expandable map. Another feature allows Google Maps to analyze trip-related screenshots from platforms like TikTok or Instagram, identifying locations mentioned in the images and compiling them into an itinerary. Recommended read:
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cybernewswire@The Last Watchdog
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References:
gbhackers.com
, hackread.com
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Arsen, a leading cybersecurity firm specializing in social engineering defense, has announced the release of Conversational Phishing, an AI-powered feature embedded within its phishing simulation platform. This innovative tool introduces dynamic and adaptive phishing conversations, designed to train employees against increasingly sophisticated social engineering threats. The aim is to enhance social engineering resilience by creating realistic and personalized phishing simulations that mimic real-world attacker tactics, which often involve ongoing conversations to build trust and manipulate victims.
Arsen's Conversational Phishing addresses the limitations of traditional simulations, which rely on static email templates. This new feature dynamically generates and adapts phishing conversations in real-time, simulating back-and-forth interactions that mirror how attackers manipulate victims over time. According to CEO Thomas Le Coz, the goal is to evolve training methods to provide realistic conditions for testing and training, especially with the rise of AI-driven phishing attacks. The feature is fully integrated into Arsen’s phishing simulation module and has been accessible to all clients for the past six months. Recommended read:
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Stephen Ornes@Quanta Magazine
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References:
Quanta Magazine
, medium.com
A novel quantum algorithm has demonstrated a speedup over classical computers for a significant class of optimization problems, according to a recent report. This breakthrough could represent a major advancement in harnessing the potential of quantum computers, which have long promised faster solutions to complex computational challenges. The new algorithm, known as decoded quantum interferometry (DQI), outperforms all known classical algorithms in finding good solutions to a wide range of optimization problems, which involve searching for the best possible solution from a vast number of choices.
Classical researchers have been struggling to keep up with this quantum advancement. Reports of quantum algorithms often spark excitement, partly because they can offer new perspectives on difficult problems. The DQI algorithm is considered a "breakthrough in quantum algorithms" by Gil Kalai, a mathematician at Reichman University. While quantum computers have generated considerable buzz, it has been challenging to identify specific problems where they can significantly outperform classical machines. This new algorithm demonstrates the potential for quantum computers to excel in optimization tasks, a development that could have broad implications across various fields. Recommended read:
References :
Alexey Shabanov@TestingCatalog
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References:
The Tech Basic
, TheSequence
Anthropic has unveiled a groundbreaking innovation in AI research with self-coordinating agent networks in their Claude Research Mode. This tool empowers Claude AI to operate as a central authority, capable of constructing and managing multiple helper bots. These bots collaborate to tackle complex challenges, marking a significant shift in how AI research is conducted. By dynamically creating and coordinating AI agents, Anthropic is redefining the possibilities for AI problem-solving in various fields.
The Claude Research Mode operates akin to a human team, where different individuals handle specific tasks. This multi-agent functionality leverages tools like web search, memory, and the ability to create sub-agents. A master agent can delegate tasks to these sub-agents, fostering dynamic and collaborative interactions within a single research flow. These helper bots are designed to enhance problem-solving capabilities by searching the internet using Brave, remembering crucial details, and engaging in careful deliberation before providing answers. This approach promises to transform how AI is applied in science, business, and healthcare. Recommended read:
References :
Alexey Shabanov@TestingCatalog
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References:
AI News
, TestingCatalog
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Anthropic is reportedly enhancing Claude AI with multi-agent capabilities, including web search, memory, and sub-agent creation. This upgrade to the Claude Research feature, previously known as Compass, aims to facilitate more dynamic and collaborative research flows. The "create sub-agent" tool would enable a master agent to delegate tasks to sub-agents, allowing users to witness multi-agent interaction within a single research process. These new tools include web_fetch, web_search, create_subagent, memory, think, sleep and complete_task.
Anthropic is also delving into the "AI biology" of Claude, offering insights into how the model processes information and makes decisions. Researchers have discovered that Claude possesses a degree of conceptual universality across languages and actively plans ahead in creative tasks. However, they also found instances of the model generating incorrect reasoning, highlighting the importance of understanding AI decision-making processes for reliability and safety. Anthropic's approach to AI interpretability allows them to uncover insights into the inner workings of these systems that might not be apparent through simply observing their outputs. Recommended read:
References :
Mike Watts@computational-intelligence.blogspot.com
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References:
computational-intelligence.blo
, computational-intelligence.blo
Recent developments highlight advancements in quantum computing, artificial intelligence, and cryptography. Classiq Technologies, in collaboration with Sumitomo Corporation and Mizuho-DL Financial Technology, achieved up to 95% compression of quantum circuits for Monte Carlo simulations used in financial risk analysis. This project explored the use of Classiq’s technology to generate more efficient quantum circuits for a novel quantum Monte Carlo simulation algorithm incorporating pseudo-random numbers proposed by Mizuho-DL FT, evaluating the feasibility of implementing quantum algorithms in financial applications.
Oxford researchers demonstrated a fast, 99.8% fidelity two-qubit gate using a simplified circuit design, achieving this using a modified coaxmon circuit architecture. Also, a collaborative team from JPMorganChase, Quantinuum, Argonne National Laboratory, Oak Ridge National Laboratory, and the University of Texas at Austin demonstrated a certified randomness protocol using a 56-qubit Quantinuum System Model H2 trapped-ion quantum computer. This is a major milestone for real-world quantum applications, with the certified randomness validated using over 1.1 exaflops of classical computing power, confirming the quantum system’s ability to generate entropy beyond classical reach. The 2025 IEEE International Conference on Quantum Artificial Intelligence will be held in Naples, Italy, from November 2-5, 2025, with a paper submission deadline of May 15, 2025. Vanderbilt University will host a series of workshops devoted to Groups in Geometry, Analysis and Logic starting May 28, 2025. Recommended read:
References :
Ellie Ramirez-Camara@Data Phoenix
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Shelly Palmer
, Data Phoenix
OpenAI's new image generation tool, integrated into ChatGPT 4o, is experiencing immense popularity, leading to temporary limitations on GPU usage. CEO Sam Altman acknowledged the issue, stating that their GPUs are "melting" due to the overwhelming demand. This surge highlights the significant computational resources required for complex AI image generation, pushing the limits of current infrastructure. The new model within ChatGPT is designed to replace DALL·E as the default image generator and aims to provide superior realism and speed compared to its predecessor.
The company is implementing measures to manage the high demand, including rate-limiting image requests. OpenAI delayed the new GPT-4o image generation feature for free users due to high demand. While there's no word on specific limits for paid users, it's expected they are also experiencing slowdowns. The popularity of Ghibli-style images has even flooded social media, prompting discussions about artistic integrity and the physical constraints of supporting such intensive computational tasks at scale. Recommended read:
References :
Amir Najmi@unofficialgoogledatascience.com
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Data scientists and statisticians are continuously exploring methods to refine data analysis and modeling. A recent blog post from Google details a project focused on quantifying the statistical skills necessary for data scientists within their organization, aiming to clarify job descriptions and address ambiguities in assessing practical data science abilities. The authors, David Mease and Amir Najmi, leveraged their extensive experience conducting over 600 interviews at Google to identify crucial statistical expertise required for the "Data Scientist - Research" role.
Statistical testing remains a cornerstone of data analysis, guiding analysts in transforming raw numbers into actionable insights. One must also keep in mind bias-variance tradeoff and how to choose the right statistical test to ensure the validity of analyses. These tools are critical for both traditional statistical roles and the evolving field of AI/ML, where responsible practices are paramount, as highlighted in discussions about the relevance of statistical controversies to ethical AI/ML development at an AI ethics conference on March 8. Recommended read:
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