18 Jul 2025, 07:31

Jed McCaleb States the Difference Between Ripple and Stellar (XLM)

In a recent tweet, crypto enthusiast Stellar Expert addressed the XRP community directly with a series of questions following an interview featuring Jed McCaleb, co-founder of both Ripple and Stellar. In the interview, McCaleb offered detailed insight into the philosophical differences that led him to leave Ripple and create Stellar . Responding to the interviewer’s request to explain the differences between Ripple and Stellar, McCaleb stated that his vision was to build what he called “an internet-level protocol.” He emphasized that such a protocol should be operated by a non-profit entity, comparing it to how the internet functions today. According to him, a payments network should work as openly and interoperably as information flows on the internet, and this required governance and structure that he believed Ripple did not implement. He further explained that another key principle underlying Stellar’s approach is broad participation across the network. McCaleb argued that a decentralized payments platform depends on the wide distribution of its native asset and engagement from numerous independent participants. He noted that Stellar’s efforts to distribute its underlying coin as widely as possible were central to this philosophy. To the $XRP Community, watch this video and genuinely answer me this: 1. Why has Ripple been dumping XRP on retail? 2. If Ripple can change the rules, isn’t that TradFi with blockchain branding and how is it different from SWIFT or PayPal? 3. Why is RippleNet run by a… pic.twitter.com/GZ6Z0gcwia — Stellar Expert (@StellarExpert) July 15, 2025 Concerns over Centralization and Technical Limitations The interviewer then highlighted that decentralization remains a core value for many within the crypto community and asked McCaleb why Stellar’s nonprofit, decentralized approach could be advantageous for users and institutions. McCaleb responded by noting a critical technical concern: Ripple’s consensus algorithm makes it difficult for parties outside Ripple Labs to run nodes. He explained that this results in Ripple Labs operating the majority of the nodes, which, in his view, creates a system that is effectively centralized, comparable to existing platforms such as SWIFT or PayPal. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 McCaleb said the vision for a blockchain-based payments network should instead mirror the openness of the internet, where anyone can participate, and no single entity has the authority to impose arbitrary fees or policies. He warned that centralized control of the network undermines its ability to grow and reach widespread adoption. Closing Remarks on the Importance of Openness In his concluding remarks, McCaleb reiterated the necessity of an open, decentralized system to achieve ubiquity and sustainability. He argued that only a truly open network not controlled by a central authority has the potential to achieve global scale and user trust, similar to the development of the internet. The interview ended shortly afterward, with the host thanking McCaleb and expressing interest in hearing more from him in the future. Stellar Expert’s tweet drew attention to these points from McCaleb’s interview, framing them as critical questions for the XRP community to reflect on regarding Ripple’s ongoing strategy, its level of decentralization, and the original intent behind the technology. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are advised to conduct thorough research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on X , Facebook , Telegram , and Google News The post Jed McCaleb States the Difference Between Ripple and Stellar (XLM) appeared first on Times Tabloid .

18 Jul 2025, 07:20

Revolutionary OpenAI ChatGPT Agent Unleashes Unprecedented Automation

BitcoinWorld Revolutionary OpenAI ChatGPT Agent Unleashes Unprecedented Automation In the rapidly evolving landscape of artificial intelligence, where innovation is key, a groundbreaking development from OpenAI is poised to capture the attention of tech enthusiasts and professionals alike. The company has officially launched a new general-purpose ChatGPT agent , a sophisticated AI tool designed to fundamentally change how users interact with their computers and manage their daily tasks. This isn’t just another chatbot; it’s a bold step towards truly intelligent automation, promising to offload a wide array of computer-based tasks directly within ChatGPT. What Can OpenAI’s New ChatGPT Agent Do For You? OpenAI’s latest offering, dubbed the ChatGPT agent , is engineered to handle a diverse range of complex computer-based operations. Imagine an intelligent assistant that doesn’t just answer questions but actively performs tasks across your digital environment. This agent combines and enhances capabilities seen in OpenAI’s earlier experimental tools, such as ‘Operator’ for web navigation and ‘Deep Research’ for synthesizing information. Here’s a glimpse into the transformative capabilities of this powerful AI agent : Seamless Calendar Management: Automatically navigate and update your digital calendar, scheduling meetings or reminders based on your prompts. Dynamic Presentation Generation: Create editable presentations and slideshows from your instructions, saving countless hours on manual design. Robust Code Execution: Run code directly within its environment, offering unparalleled utility for developers and data scientists. Intelligent Web Navigation: Leverage ‘Operator’s’ ability to click around websites, gather specific information, and interact with online interfaces on your behalf. Comprehensive Research Synthesis: Utilize ‘Deep Research’ capabilities to synthesize vast amounts of information from dozens of websites into concise, actionable reports. The beauty of the ChatGPT agent lies in its simplicity of interaction. Users can engage with it using natural language prompts, making advanced automation accessible to everyone, regardless of their technical expertise. This intuitive approach is central to OpenAI’s vision of widespread productivity enhancement. How Does This AI Agent Enhance Your Productivity ? The core promise of the ChatGPT agent is a significant boost in user productivity through intelligent automation . By offloading routine, time-consuming, or complex digital tasks, it frees up users to focus on higher-level, creative, and strategic work. This shift from passive interaction (asking questions) to active task execution (performing actions) marks a pivotal moment in AI development. The agent is rolling out to OpenAI’s Pro, Plus, and Team plan subscribers. Activating this powerful tool is straightforward: simply select ‘agent mode’ from ChatGPT’s dropdown menu of tools. This ease of access ensures that a broad base of users can immediately begin to experience the benefits of this advanced AI agent . Connecting Your World: Enhanced Capabilities and Integrations What truly sets the new ChatGPT agent apart are its expanded connectivity options. OpenAI has equipped it with ‘ChatGPT connectors,’ allowing seamless integration with popular applications. This means the agent can access relevant information from your personal and professional digital ecosystem: Gmail Integration: Imagine the agent sifting through your emails to find specific information for a report or drafting replies based on context. GitHub Access: For developers, the ability to connect to GitHub means the agent can potentially assist with code reviews, repository management, or even debugging by accessing your projects. Furthermore, the ChatGPT agent has access to a terminal and can utilize APIs to interact with a broader range of applications. This level of access signifies a powerful leap, moving beyond mere information retrieval to direct, actionable engagement with diverse software environments. This capability is crucial for unlocking truly transformative automation workflows. Benchmarking Excellence: A Leap in Automation Performance OpenAI asserts that the model underpinning the ChatGPT agent delivers state-of-the-art performance across several critical benchmarks, showcasing its superior capabilities compared to previous iterations and competitors. This isn’t just incremental improvement; it represents a significant jump in AI’s ability to tackle complex, multi-faceted problems. Consider the following performance metrics: Benchmark Test ChatGPT Agent (with tools) OpenAI’s o3/o4-mini (previous) Humanity’s Last Exam (pass@1) 41.6% ~20% (roughly double) FrontierMath (with tools) 27.4% 6.3% The ‘Humanity’s Last Exam’ is a notoriously difficult test comprising thousands of questions across over a hundred subjects. The ChatGPT agent ‘s score of 41.6% (pass@1) is roughly double what OpenAI’s o3 and o4-mini models achieved, highlighting its enhanced reasoning and knowledge synthesis. On ‘FrontierMath,’ one of the hardest known math benchmarks, the agent scored 27.4% when granted access to tools like a terminal for code execution, a massive improvement over the previous state-of-the-art score of 6.3% from o4-mini. These figures underscore the agent’s advanced problem-solving capabilities, making it a formidable tool for various applications. Addressing Challenges and Ensuring Safety in AI Agent Deployment While the potential for automation and productivity gains is immense, the journey of AI agents hasn’t been without its hurdles. Early versions of AI agents from various Silicon Valley companies, including OpenAI and Google, often struggled with truly complex, multi-step tasks, sometimes falling short of the ambitious visions pitched by tech executives. The real-world application often proved less compelling than the theoretical promise. However, OpenAI is confident that the ChatGPT agent is significantly more capable than its predecessors. A crucial aspect of its development has been a strong emphasis on safety. Given the agent’s newfound abilities to take actions and interact with user systems, the potential for misuse by malicious actors is a serious consideration. OpenAI has engineered the agent with robust safety protocols in mind, aiming to mitigate risks while maximizing utility. The true extent of the ChatGPT agent ‘s capabilities will become clearer as users begin to adopt it across diverse scenarios. Its success will hinge on its ability to consistently deliver reliable, complex task automation in real-world environments. The Future of Work: Events and Innovations Shaping Automation The launch of the ChatGPT agent is a testament to the rapid pace of innovation in the AI sector, a topic frequently highlighted at major industry events. For those keen to stay at the forefront of these developments, events like Bitcoin World Disrupt 2025 offer invaluable insights. Tech and VC heavyweights, including leaders from Netflix, ElevenLabs, Wayve, and Sequoia Capital, are set to join the agenda, delivering critical insights that fuel startup growth and sharpen industry edges. Celebrating its 20th anniversary, Bitcoin World Disrupt in San Francisco (October 27-29, 2025) provides a unique opportunity to learn from the top voices in tech. Such gatherings are essential platforms where the future of automation , advanced AI models, and their impact on various industries are discussed, debated, and showcased. For businesses and innovators looking to amplify their reach and spark real connections, securing exhibit space at such events is paramount. Conclusion: A New Era of Productivity with ChatGPT Agent The introduction of OpenAI’s general-purpose ChatGPT agent marks a significant milestone in the evolution of artificial intelligence. By combining advanced reasoning with the ability to take direct action across a user’s digital environment, it promises to usher in an unprecedented era of personal and professional automation and productivity . While the journey for AI agents has had its challenges, OpenAI’s latest iteration appears to be a robust step forward, demonstrating impressive benchmark performance and a clear focus on user utility and safety. As this powerful AI agent becomes more integrated into daily workflows, it has the potential to redefine efficiency, allowing individuals and teams to achieve more with less effort. This is not just an upgrade; it’s a fundamental shift in how we interact with technology, moving towards a future where our digital assistants are true collaborators in our daily tasks. To learn more about the latest AI market trends, explore our article on key developments shaping AI features and institutional adoption. This post Revolutionary OpenAI ChatGPT Agent Unleashes Unprecedented Automation first appeared on BitcoinWorld and is written by Editorial Team

18 Jul 2025, 07:19

SEC Considers Regulatory Tweaks to Support Tokenization Ecosystem

The US SEC is exploring a potential “innovation exemption” as part of broader efforts to support the fast-growing tokenization ecosystem, Chairman Paul Atkins said Thursday. His comments followed the House passage of a landmark stablecoin bill that could significantly reshape the digital asset landscape, Bloomberg reported . Speaking at a press event shortly after lawmakers approved the GENIUS Act, the CLARITY Act, and a third key crypto bill , Atkins said SEC staff is now examining whether to ease certain regulatory barriers. These changes could include new allowances for novel trading models and narrowly tailored relief measures to help build out the infrastructure required for tokenized securities. SEC weighing innovation exemption from regulations to incentivize tokenization… SEC Chair Paul Atkins: "Assets clearly are moving on chain. If it can be tokenized, it will be tokenized." *SEC Chair* Read that again. Hope you're paying attention. via @yashroy87 @ElleBeyoud pic.twitter.com/C675D5ihLv — Nate Geraci (@NateGeraci) July 18, 2025 SEC Prepares Regulatory Shift as Stablecoin Rules Advance “Staff is considering what other changes may be appropriate to incentivize tokenization within our regulatory framework,” he said, adding that this could involve an innovation exception designed to accommodate new market structures. The timing is significant. The US House cleared the stablecoin legislation earlier in the day, sending it to President Donald Trump for final approval. The bill outlines clear regulatory guardrails for dollar-backed stablecoins, requiring issuers to hold reserves in short-term government debt or similar safe assets overseen by state or federal regulators. Atkins welcomed the legislation,saying the SEC is eager to establish “clear rules of the road” for the broader digital asset industry. Atkins Charts New Course for SEC With Pro-Tokenization Stance The chairman’s tone marks a sharp departure from that of his predecessor, Gary Gensler, whose tenure was defined by aggressive enforcement actions. Atkins has already indicated he plans to roll back several Gensler-era policies, including a controversial rule that allowed brokers to act as digital asset custodians. The SEC’s openness to regulatory flexibility comes as both traditional financial firms and blockchain-native companies race to tokenize real-world assets. Some are focused on wrapping popular US stocks into tokenized forms, while others aim to offer tokenized products linked to private markets. “It’s hard to say exactly where things will go or what will happen, but, you know, assets clearly are moving on chain,” Atkins said. “So if it can be tokenized, it will be tokenized.” Private Credit and US Treasuries Drive Tokenization Boom His remarks come amid growing momentum in the tokenization space. Many analysts now see it as a transformative shift for capital markets. In 2025 alone, tokenized real-world assets have surged. So far this year, market value has climbed more than 260%. According to a report by Binance Research, the sector has reached $23b. That is up from just $8.6b at the start of January. Much of that growth has come from tokenized private credit, which makes up 58% of the market. Tokenized US Treasury debt follows closely, accounting for 34%. Together, these two categories represent 92 percent of the total market for tokenized assets. Earlier this month, Atkins described tokenization as “the next step ” in bringing greater efficiency to traditional financial systems. He also hinted that a broader shift toward on-chain markets is now imminent. As policymakers move to catch up with technological innovation, the SEC’s willingness to carve out targeted exemptions could prove critical. If adopted, the innovation exception could give tokenization efforts the breathing room needed to scale, without falling afoul of outdated compliance rules. The post SEC Considers Regulatory Tweaks to Support Tokenization Ecosystem appeared first on Cryptonews .

18 Jul 2025, 07:10

Mistral AI’s Le Chat Unleashes Powerful Deep Research Mode for Enterprise Productivity

BitcoinWorld Mistral AI’s Le Chat Unleashes Powerful Deep Research Mode for Enterprise Productivity In the rapidly evolving landscape of artificial intelligence, where innovation often dictates the future of digital interactions and even blockchain technologies, French AI powerhouse Mistral AI has made a significant leap. Their acclaimed Le Chat chatbot is now equipped with a groundbreaking ‘deep research’ mode, setting a new benchmark for AI-driven productivity, especially for enterprises. This strategic move positions Mistral AI as a formidable contender in the competitive AI space, challenging established giants like OpenAI and Google with unique offerings tailored for the most demanding environments. Mistral AI Elevates Le Chat with Advanced Capabilities On Thursday, the French AI lab Mistral introduced a suite of new features to its Le Chat chatbot, significantly enhancing its capabilities and bringing it closer to the prowess of rivals such as OpenAI and Google. This update follows closely on the heels of Mistral’s release of Voxtral, their first open-source AI audio model capable of multilingual reasoning, transcription, and more, which is also integrated into Le Chat. The core of this latest enhancement revolves around a powerful new ‘deep research’ mode, native multilingual reasoning, and advanced image editing functionalities. These additions are designed to transform Le Chat from a sophisticated conversational agent into a comprehensive productivity tool, ready to tackle complex tasks for both individual users and large organizations. Unlocking Insights with Le Chat ‘s Deep Research Mode Mistral’s new deep research mode is a game-changer, designed to turn Le Chat into a coordinated research assistant. Much like a highly skilled human researcher, this mode doesn’t just pull up a few links; it plans the research, clarifies the user’s exact needs, scours a vast array of web sources, and then synthesizes the findings into a coherent, comprehensive answer. This goes beyond simple search queries, enabling the AI to understand nuances and connect disparate pieces of information. Elisa Salamanca, Mistral’s head of product, emphasized the broad applicability of this feature. “What the model does is really go and look into a big variety of sources on the web to answer a specific question,” Salamanca told Bitcoin World. “We believe this feature is going to be very relevant for both consumer and enterprise use cases.” Consider the practical applications: For Consumers: Imagine planning a complex international trip. Le Chat can research various destinations, compare flight and accommodation options, analyze local regulations, and provide an exhaustive analysis of the best travel plans tailored to your preferences. For Enterprises: A marketing team could request a comprehensive analysis of competitor strategies across multiple markets, or a legal professional might need an exhaustive summary of recent case law relevant to a specific industry. Le Chat’s deep research mode can sift through vast amounts of data to deliver actionable insights. This capability fundamentally changes how users can interact with AI for information gathering, moving beyond simple query-response to truly intelligent data synthesis. Why is On-Premise Data Handling a Game-Changer for Enterprise AI ? While the new updates are available across all tiers – Free, Pro, Team, and Enterprise – Salamanca noted that Mistral is specifically focusing on integrating Le Chat and Mistral’s productivity suite into enterprise ecosystems with this release. This strategic emphasis is largely due to Mistral’s distinct approach to data connectors, which offers a significant differentiator in the enterprise AI landscape. For many large organizations, particularly those in highly regulated industries such as banking, healthcare, defense, and government, the thought of uploading sensitive, proprietary, or classified data to a third-party cloud service is often a non-starter. Data sovereignty, stringent compliance regulations (like GDPR or HIPAA), and the inherent risks of data breaches make on-premise solutions not just a preference, but a critical necessity. “A lot of customers who have very sensitive data don’t actually use cloud services, or if they do, they do it on their own premises with virtual private clouds,” Salamanca explained. Mistral’s approach directly addresses this critical pain point. Le Chat and its productivity suite are designed to connect to enterprise data on-premises. This means companies can leverage Le Chat’s deep reasoning and other advanced capabilities to analyze their own internal data without having to upload anything to the cloud. This unique selling proposition positions Mistral AI as a trusted partner for even the most security-conscious clients. Let’s compare this crucial aspect: Feature Mistral Le Chat Cloud-Native LLMs (e.g., OpenAI, Gemini) Data Handling On-premises, direct connection to enterprise data Cloud-based, data often uploaded to external servers Security for Sensitive Data High, data remains within company’s infrastructure Depends on cloud provider’s security; data leaves company’s direct control Target Users Enterprises with strict data sovereignty/security needs (banking, defense, government) Broader range, including those comfortable with cloud solutions Integration Focus Building connectors for seamless on-premise office suite integration Primarily API-based, often requiring data transfer to cloud This foundational difference also paves the way for deeper integration with existing enterprise tools. Elisa Salamanca highlighted Mistral’s ambition to make Le Chat work “seamlessly” with productivity staples like Microsoft Excel and Google Docs. “A big part of our value proposition, especially when we release Le Chat Enterprise, is that we want to make Microsoft Excel and Google Docs and that kind of office suite work seamlessly with our capabilities,” she stated. “So the connectors that we release with Le Chat Enterprise are actually one step in that direction. We’re building these connectors internally because we believe this is going to be a key for using Le Chat as a productivity enabler in the business context.” Le Chat : An Evolving AI Chatbot with Enhanced Multilingual and Organizational Features Beyond its powerful deep research mode and enterprise-grade data handling, Le Chat has received several other significant updates, solidifying its position as a versatile AI chatbot . Native Multilingual Reasoning: While users could previously leverage Le Chat for complex reasoning via Magistral, Mistral’s reasoning AI model, this capability was initially limited to English. Now, Mistral natively supports multilingual reasoning in a growing list of languages, including French, Spanish, and Japanese. This is a crucial step for global adoption, allowing users to pose complex questions and receive nuanced responses in their native tongue. Mistral even states that Le Chat can code-switch between languages mid-sentence, reflecting the natural flow of human conversation. Introducing ‘Projects’: Understanding the need for organization in complex tasks, Mistral has introduced ‘Projects.’ This feature helps users stay organized by grouping chats, documents, and ideas into focused spaces. Each project can have its own default library and remember which tools and settings a user has enabled. This transforms Le Chat from a simple Q&A tool into a collaborative assistant. Use cases include planning a move, designing a new product feature, or keeping work-related projects on track, ensuring continuity and efficiency. Improved Image Editing Capabilities: Le Chat is also getting enhanced image editing. This allows users to create and edit images with simple prompts like “remove the object” or “place me in another city.” This moves Le Chat beyond purely text-based interactions, offering a more versatile AI tool for content creation and visual communication, further expanding its utility across various domains. Positioning Le Chat as a Full-Stack AI Chatbot Contender These latest updates from Mistral AI collectively put Le Chat in a much more competitive range with the AI industry’s front runners. By offering a powerful deep research mode, native multilingual reasoning, advanced organizational tools, and crucially, a unique on-premise data handling solution for enterprise AI , Mistral is positioning Le Chat as more than just a model demo. It emerges as a full-stack contender, ready to meet the diverse and demanding needs of both individual users and large, security-conscious enterprises. The commitment to seamless integration with existing office suites and a focus on data sovereignty underscore Mistral’s ambition to be a foundational layer in the next generation of productivity tools. As the AI landscape continues to evolve at a rapid pace, Mistral’s strategic differentiators could very well carve out a significant niche, especially within the high-stakes world of enterprise solutions. To learn more about the latest AI market trends, explore our article on key developments shaping AI models’ features and institutional adoption. This post Mistral AI’s Le Chat Unleashes Powerful Deep Research Mode for Enterprise Productivity first appeared on BitcoinWorld and is written by Editorial Team

18 Jul 2025, 06:09

New Document: XRP Is Used by American Express, Bank of America, Santander

Crypto researcher SMQKE has drawn attention to documented use cases of XRP by several high-profile financial and philanthropic institutions. In a recent tweet, SMQKE stated: “XRP —> Used by American Express, Bank of America, Santander and the Bill & Melinda Gates Foundation. Documented below.” The tweet included an image of a corporate document outlining recent use cases of leading cryptocurrencies, which explicitly lists XRP alongside those institutions. Document Highlights Institutional Use of XRP According to the document shared by SMQKE, XRP is described as acting as a bridge currency to other fiat currencies exchanged on the Ripple platform. The document defines Ripple as a real-time gross settlement system, currency exchange, and remittance network. The recent use cases section specifies that hundreds of financial institutions, including American Express, Bank of America , and Santander, have partnerships with Ripple . Additionally, it notes that Ripple has partnered with various sustainability leaders, including the Bill & Melinda Gates Foundation, to achieve net-zero carbon emissions by 2030. XRP —> Used by American Express, Bank of America, Santander and the Bill & Melinda Gates Foundation. Documented below. pic.twitter.com/buP59rKihY — SMQKE (@SMQKEDQG) July 16, 2025 Financial Giants and Philanthropy Recognize Ripple Technology The inclusion of these institutions in the context of XRP adoption highlights the degree of institutional recognition the asset has achieved. American Express, a global leader in payments and credit services, is listed among the financial institutions leveraging Ripple’s technology. Similarly, Bank of America and Santander, both prominent multinational banks with extensive retail and corporate banking operations, are named as participants in partnerships involving XRP. We are on X, follow us to connect with us :- @TimesTabloid1 — TimesTabloid (@TimesTabloid1) June 15, 2025 The document also highlights Ripple’s sustainability commitments, citing its collaboration with the Bill & Melinda Gates Foundation. According to the text, the partnership with sustainability leaders, which includes the Gates Foundation, is part of a broader initiative to achieve carbon net zero by 2030. This aspect underscores a growing awareness of environmental considerations in financial technology and digital assets. XRP Positioned Alongside Leading Cryptocurrencies The broader table in the shared image compares XRP to other major cryptocurrencies, such as Bitcoin, Ether, Binance Coin, Cardano, and Solana. The purpose and recent use cases of each currency are summarized. Notably, XRP is the only cryptocurrency in the list explicitly linked to major financial institutions and a large philanthropic organization in the context of bridge currency functionality and sustainability initiatives. SMQKE’s post reinforces the narrative of XRP being integrated into significant institutional and cross-border payment infrastructures. The image shared provides clear documentation from a corporate research source and highlights tangible use cases as evidence of XRP’s role in contemporary finance and philanthropy. By highlighting documented partnerships with American Express, Bank of America, Santander, and the Gates Foundation, SMQKE’s tweet adds to the ongoing public record of XRP’s adoption among influential global players. Disclaimer : This content is meant to inform and should not be considered financial advice. The views expressed in this article may include the author’s personal opinions and do not represent Times Tabloid’s opinion. Readers are advised to conduct thorough research before making any investment decisions. Any action taken by the reader is strictly at their own risk. Times Tabloid is not responsible for any financial losses. Follow us on X , Facebook , Telegram , and Google News The post New Document: XRP Is Used by American Express, Bank of America, Santander appeared first on Times Tabloid .

18 Jul 2025, 01:50

Meta continued effort to increase its workforce with AI experts from Apple

Meta, the American tech giant behind Facebook and Instagram, has hired two former Apple AI specialists, Mark Lee and Tom Gunter, shortly after recruiting their former supervisors. According to sources familiar with the matter, both experts will join Meta’s Superintelligence Labs team. Lee has already started his new role, while Gunter is set to begin in the coming days. The tech giant’s action demonstrates a growing trend in the tech ecosystem involving stiff competition for AI talent. Additionally, it has been very proactive in its staff recruitment. Meta increases its workforce with AI experts from Apple Meta CEO Mark Zuckerberg has demonstrated a strong commitment to artificial intelligence, motivated by its surging global demand. His dedication is evident in the company’s heavy investments in AI, the recruitment of top AI talent , and a substantial boost in spending on data centers. With this, the company aims to cement its position as the leader in AI, beating up its rivals such as OpenAI and Google. Following the tech firm’s hiring move, the company recruited Ruoming Pang, former head of Apple’s Foundation Models team, early in the month. The tech company offered him a significant salary package of $200 million to win Pang, effective for several years. Coincidentally, Pang teamed up with Gunter and Lee at Apple, who have also left the company for Zuckerberg’s company. In addition, the two were the longest-serving members in Pang’s team. Lee was his first worker at Apple. On the other hand, Gunter was a reputable engineer in the firm. After departing from Apple, Gunter accepted a job offer from another AI company but stepped down from that role following Meta’s offer. Meta’s recent hires demonstrate an ongoing disorder in the Apple Foundation Models (AFM) team. The team is responsible for creating an effective technology useful in generative AI. The AFM team is also facing uncertainties due to the company’s AI executives’ decision to initiate external models into their operations as a solution to improve its Siri voice assistant, among other Apple Intelligence features. AI Senior Vice President John Giannandrea is among the AI executives at Apple. Under the research leader Daphne Luong, the team is weighing some strategic changes with Mike Rockwell and Craig Federighi, software leaders currently overseeing Siri. Neither Meta’s spokesperson nor Apple replied to a request for comment. Meta offers Apple’s employees significant salary packages Apple is developing parallel versions of its voice assistant using in-house AI models and third-party technologies to deliver long-promised enhancements to Siri , such as leveraging personal data to fulfill user queries. However, before its launch next spring, the company must decide which software backbone will power the revamped assistant. Meta has seized on Apple’s internal indecision by aggressively recruiting its AI talent with highly lucrative job offers. In many instances, Meta offers several times higher salaries than Apple’s compensation for engineers in its Apple Foundation Models group. In response, Apple has begun issuing raises to select members of the roughly 100-person team to retain the talent. Yet, those counteroffers pale compared to what Meta compared to the table. One high-profile defector, Gunter, is among several AI specialists receiving multiyear compensation packages exceeding $100 million. Mark Zuckerberg underscored Meta’s ambitions earlier this week, posting on Threads that the company plans to “invest hundreds of billions of dollars into computers to build superintelligence”—a nod to AI that surpasses human capabilities. At Meta’s Menlo Park headquarters, some of its top AI recruits have been strategically seated near Zuckerberg to enable close collaboration on the company’s most critical AI initiatives. Cryptopolitan Academy: Coming Soon - A New Way to Earn Passive Income with DeFi in 2025. Learn More