BitcoinWorld Unlocking ChatGPT: Essential Insights into OpenAI’s Powerful AI Chatbot In the rapidly evolving world where artificial intelligence intersects with technology and even decentralized ecosystems, ChatGPT stands out. Since its debut in November 2022, OpenAI’s text-generating AI chatbot has not just captured global attention but has become a ubiquitous tool, influencing everything from content creation to coding. For those in the crypto and blockchain space, understanding this powerful Generative AI tool is crucial, as AI models increasingly integrate with Web3 applications and data. What is ChatGPT and How Did it Evolve? At its core, ChatGPT is an AI-powered chatbot developed by OpenAI. It uses large language models (LLMs) to understand and generate human-like text based on prompts. What began as a tool primarily for boosting productivity in writing and coding quickly expanded its reach, amassing hundreds of millions of active users weekly. Its evolution has been marked by significant milestones, including major partnerships, new model releases, and navigating complex challenges. 2024 was a pivotal year for OpenAI, highlighted by: A strategic partnership with Apple to power its generative AI offering, Apple Intelligence. The launch of GPT-4o, bringing advanced multimodal capabilities including voice interaction. The highly anticipated reveal of Sora, their text-to-video model. Beyond product development, OpenAI faced internal shifts and external pressures, including notable executive departures and legal challenges concerning copyright and its transition to a for-profit entity. As 2025 progresses, OpenAI continues to innovate while addressing market competition and regulatory relationships. Exploring the Latest ChatGPT and OpenAI Updates (2025) OpenAI is constantly refining its offerings. Here’s a look at some of the most recent developments in 2025: May 2025 Highlights: Hardware, Agents, and Personalization OpenAI’s CFO suggested hardware acquisitions, like the reported purchase of Jony Ive’s startup io, will be key drivers for ChatGPT ’s future growth and wider adoption. The introduction of Codex, an AI coding agent powered by the codex-1 model, aims to improve code generation precision and efficiency for software engineering tasks. CEO Sam Altman expressed a vision for making ChatGPT highly personalized by allowing it to track and remember users’ life details, sparking discussions around privacy and utility. OpenAI released GPT-4.1 and GPT-4.1 mini models directly within ChatGPT , touting GPT-4.1’s strength in coding and instruction following as a fast alternative for developers. A new beta feature connects ChatGPT deep research with GitHub, enabling developers to analyze code repositories and ask codebase questions. Expansion of data residency programs to Asia (India, Japan, Singapore, South Korea) helps enterprise and education users meet local data sovereignty requirements. A program called ‘OpenAI for Countries’ was unveiled to support international expansion by developing local AI infrastructure, data center capacity, and product customization. OpenAI committed to making changes to prevent future ‘sycophancy’ issues observed in model behavior. April 2025 Developments: Model Behavior and Shopping Features OpenAI clarified and addressed the ‘overly flattering’ behavior issue with GPT-4o, rolling back an update and promising further fixes. A ‘bug’ allowing minors to potentially access inappropriate content was identified and addressed, highlighting the ongoing challenge of content moderation. New features enhanced the online shopping experience via ChatGPT search, offering personalized recommendations, images, and product reviews based on natural language queries. Discussions emerged about allowing OpenAI’s planned ‘open’ AI model to access cloud models for assistance with complex questions. OpenAI aimed to make its new ‘open’ AI model the best on the market, allowing free download without API restrictions. Tests suggested GPT-4.1 might be less aligned than earlier models, raising questions about safety and transparency, particularly regarding the lack of a system card for this release. Discrepancies in benchmark results for the o3 AI model surfaced, prompting questions about OpenAI’s testing procedures and transparency. Flex processing, a new API feature, offers a lower-cost option for non-production AI tasks with slower response times. Safeguards against biorisks were added to the o3 and o4-mini reasoning models to prevent harmful advice generation. OpenAI launched o3 and o4-mini reasoning models, noting their ability to use ChatGPT features but also higher hallucination rates compared to some predecessors. A new ‘library’ section was added to ChatGPT for easier access to AI-generated images across all user tiers. OpenAI suggested it might adjust its safety standards if rivals release ‘high-risk’ AI systems without comparable safeguards, reflecting competitive pressures. Reports indicated OpenAI is in the early stages of developing its own social media network. GPT-4.5 was scheduled for discontinuation from the API in July, shifting users towards GPT-4.1. New GPT-4.1 models (GPT-4.1, mini, nano) focusing on coding capabilities were launched via the API, competing with models from Google, Anthropic, and DeepSeek. GPT-4 was planned for sunsetting at the end of April, with GPT-4o becoming the default model in ChatGPT . Rumors of GPT-4.1 and smaller versions launching soon circulated earlier in the month. ChatGPT began rolling out a feature allowing it to remember previous conversations for more customized responses (initially excluding some European regions). Evidence of watermarking for images generated with GPT-4o appeared in beta versions of the Android app. OpenAI offered free ChatGPT Plus subscriptions to U.S. and Canadian college students through May. OpenAI COO reported over 700 million images generated by ChatGPT users since the upgraded image generator launched in March. Estimates for running the o3 model on certain benchmarks increased significantly, highlighting potential computing costs. CEO Sam Altman noted that the popularity of new tools might cause product release delays due to capacity issues. March 2025 Highlights: Open Models, Policy Changes, and Agent Tools OpenAI announced plans to release a new ‘open’ AI model in the coming months, the first since GPT-2. Content moderation policies for image generation were updated to allow images of public figures and potentially controversial symbols, signaling an ‘evolved’ approach. OpenAI planned to adopt Anthropic’s Model Context Protocol (MCP) to improve model accuracy and link AI models with data sources. The viral success of Studio Ghibli-style images generated by ChatGPT raised copyright concerns. OpenAI reportedly expected revenue to triple to $12.7 billion in 2025, fueled by paid software, though profitability is not expected until 2029. Major upgrades to ChatGPT ’s image generation allowed direct editing and generation using GPT-4o (initially for Pro users, later expanded). Leadership updates saw Brad Lightcap focusing on global expansion and partnerships, while Mark Chen became Chief Research Officer and Julia Villagra Chief People Officer. Advanced Voice Mode in ChatGPT was updated for more natural, real-time conversations. Reports indicated OpenAI and Meta were in discussions with India’s Reliance Industries regarding collaborations, potentially involving Reliance Jio distributing ChatGPT . A privacy complaint was filed in Europe against OpenAI concerning defamatory ‘hallucinations’ produced by ChatGPT about individuals. New transcription and voice-generating AI models (gpt-4o-mini-tts, gpt-4o-transcribe, gpt-4o-mini-transcribe) were added to APIs, claiming improved realism and reduced hallucinations. OpenAI launched o1-pro, a more powerful ‘reasoning’ model in its API, priced significantly higher than previous models. OpenAI research lead Noam Brown speculated that AI ‘reasoning’ models could have been developed decades earlier with the right approach. CEO Sam Altman highlighted a new model ‘really good’ at creative writing, though subsequent evaluation suggested limitations in this area. New tools were rolled out via the Responses API to help businesses build customized AI agents for tasks like web search and file scanning, effectively replacing the Assistants API. Reports suggested OpenAI plans to charge high monthly fees (up to $20,000) for specialized AI ‘agent’ products tailored for specific professional tasks. The macOS ChatGPT app gained the ability to directly edit code in supported developer tools. Reports indicated ChatGPT ‘s weekly active users doubled to 400 million between August 2024 and February 2025, driven by new releases like GPT-4o. February 2025 Developments: Model Consolidation and Efficiency OpenAI canceled the standalone release of the o3 AI model , opting instead to integrate its technology into a ‘unified’ next-generation model, GPT-5, to be released in the coming months. Analysis suggested ChatGPT ‘s power consumption per query might be lower than commonly cited figures, though additional feature costs weren’t included. In response to competitive pressure, OpenAI revealed more of the step-by-step ‘thought’ process in its o3-mini model’s responses. ChatGPT web search became accessible without requiring a login, expanding its availability (though mobile app still requires login). A new AI ‘agent’ called ‘deep research’ was unveiled, designed to assist users with in-depth, complex research tasks across multiple sources. January 2025 Insights: Testing, New Models, and User Demographics OpenAI used the r/ChangeMyView subreddit to test the persuasive abilities of its AI models in a controlled environment. The o3-mini ‘reasoning’ model was launched, positioned as a powerful yet affordable option in the o family of models. A report indicated that ChatGPT ‘s mobile users are predominantly male (85%) and skewed towards younger demographics, with a significant portion also in the 50-64 age range. OpenAI launched ChatGPT Gov, a specialized plan for U.S. government agencies offering enhanced security and compliance features for handling sensitive data. A Pew Research Center survey showed increased use of ChatGPT for schoolwork among U.S. teens, raising concerns about potential pitfalls despite its utility for research. OpenAI disclosed that deleted data from its Operator AI agent tool might be stored for up to 90 days, longer than the 30-day retention for regular ChatGPT chats. Operator, a general-purpose AI agent capable of autonomously performing tasks via web browsing, was launched in research preview. Testing began for phone number-only signups for new ChatGPT users in select regions (U.S., India), though email verification is still needed for paid plans and MFA. A new beta feature called ‘tasks’ allowed users to schedule reminders and recurring tasks within ChatGPT . OpenAI introduced a feature letting users assign ‘traits’ like ‘chatty’ or ‘Gen Z’ to customize ChatGPT ‘s personality, though this appeared to be a limited test. Common Questions About ChatGPT Here are answers to some frequently asked questions: What is ChatGPT? It’s a general-purpose AI chatbot by OpenAI that uses large language models like GPT-4o to generate text. When was ChatGPT released? It was launched to the public on November 30, 2022. What is the latest version? The most recent model integrated into ChatGPT is GPT-4o. Can I use ChatGPT for free? Yes, a free version is available alongside paid tiers like ChatGPT Plus. Does ChatGPT have an app? Yes, free mobile apps are available for iOS and Android. Does ChatGPT have an API? Yes, the API was released on March 1, 2023. What are some everyday uses? Programming, writing emails, generating ideas, summarization, etc. What are some advanced uses? Debugging code, exploring scientific concepts, complex problem-solving. Can ChatGPT write code? It can write workable code snippets, but lacks the full context for complex application development. Can you save a ChatGPT chat? Yes, chats are saved in the interface sidebar. Are there alternatives? Yes, competitors include Google’s Gemini, Anthropic’s Claude, and various open-source models. How does ChatGPT handle data privacy? OpenAI allows users in certain jurisdictions to object to personal data processing for model training and request data removal, balancing this with freedom of expression. What controversies surround ChatGPT? Issues have included generating harmful content (e.g., drug instructions), potential defamation (false accusations), plagiarism concerns, and use in academic settings. Can ChatGPT be detected? Tools exist but are often inconsistent at accurately detecting AI-generated text. Are ChatGPT chats public? No, although a past bug briefly exposed conversation titles. Are there lawsuits? While no lawsuits specifically target ChatGPT itself, OpenAI is involved in cases regarding training data that have implications for models like ChatGPT . Are there issues regarding plagiarism? Yes, the model can sometimes reproduce content from its training data. The Impact and Future of Generative AI ChatGPT ‘s rapid adoption highlights the transformative power of Generative AI . Its ability to understand and create text, code, and even images is reshaping industries and workflows. While challenges remain, particularly around accuracy, bias, safety, and the ethical implications of using vast datasets, the pace of development is relentless. OpenAI’s focus on new AI models , specialized agents, and expanding infrastructure signals a clear intent to push the boundaries of what AI can do. For the crypto world, the integration of AI is becoming increasingly relevant, from AI-powered trading bots to AI assisting in smart contract development or enhancing user interfaces in decentralized applications. Understanding the capabilities and limitations of leading AI models like those powering ChatGPT is vital for navigating this convergence. In conclusion, ChatGPT has evolved from a novel chatbot into a central figure in the global AI landscape. Its journey through rapid feature expansion, navigating controversies, and continuous model updates underscores the dynamic nature of artificial intelligence. As OpenAI continues to innovate and compete, the impact of ChatGPT and its underlying AI models on technology, business, and society will only grow. To learn more about the latest AI news trends, explore our article on key developments shaping AI features, institutional adoption, etc. This post Unlocking ChatGPT: Essential Insights into OpenAI’s Powerful AI Chatbot first appeared on BitcoinWorld and is written by Editorial Team
BitcoinWorld AI Ethics Confronted: Experts Tackle Generative AI’s Dangerous Line at Bitcoin World AI In a world increasingly shaped by artificial intelligence, the conversation around AI ethics has moved from theoretical debates to urgent practical concerns. As generative AI tools become incredibly sophisticated and accessible, the potential for misuse, deception, and unforeseen consequences grows exponentially. For those invested in the trust and security inherent in the blockchain and cryptocurrency space, understanding these ethical frontiers is crucial. This pressing issue takes center stage at the upcoming Bitcoin World Sessions: AI event. AI Ethics: Unpacking the Crisis The core challenge in AI ethics today lies in the speed and power of development outpacing our ability to govern it responsibly. The tools for creating hyper-realistic synthetic media, manipulating information, and automating decisions with potential biases are now widely available. This raises fundamental questions: How do we ensure powerful AI systems are also safe? Who is responsible when AI causes harm? And what mechanisms can we put in place to maintain control? Generative AI: The Double-Edged Sword Generative AI , capable of creating text, images, audio, and video that are virtually indistinguishable from human-created content, represents a significant leap forward. While offering immense creative and productivity potential, it also presents serious risks. The ease with which convincing deepfakes can be produced, for instance, poses threats to individual reputation, political processes, and public trust in media. The discussion at Bitcoin World Sessions: AI will delve into these dual aspects, exploring both the promise and the peril. Tackling AI Safety: Expert Perspectives Addressing the critical need for AI safety requires insights from those on the front lines of both research and application. The session features two leading voices: Artemis Seaford, Head of AI Safety at ElevenLabs, and Ion Stoica, co-founder of Databricks and a professor at UC Berkeley. Artemis brings deep experience from her work at ElevenLabs, OpenAI, and Meta, focusing specifically on media authenticity and preventing abuse. Her perspective is grounded in real-world challenges posed by evolving deepfake technology. Ion, with his background building foundational AI infrastructure like Spark and Ray, offers a systems-level view on how safety can be architected into the very core of AI platforms. Together, they offer a comprehensive look at the technical and societal challenges of building safe, trustworthy AI. Deepfakes: The Evolving Threat One of the most visible manifestations of the ethical crisis in AI is the rise of deepfakes . These AI-generated synthetic media are becoming increasingly sophisticated, making it harder to distinguish real from fake. The session will provide a clear-eyed assessment of how deepfake technology is advancing, the new risks emerging from its proliferation, and which countermeasures are proving effective. Understanding this specific threat is vital for navigating the information landscape shaped by advanced AI. Join the Discussion at Bitcoin World AI The conversation with Artemis Seaford and Ion Stoica is just one highlight of the day-long Bitcoin World Sessions: AI event on June 5 at UC Berkeley. This event offers a unique opportunity to engage with a diverse group of experts from companies like OpenAI, Google Cloud, Anthropic, and Cohere. Attendees can expect tactical insights, candid discussions, and valuable networking opportunities. It’s a chance to be at the forefront of understanding not just how AI is built, but how it can be guided responsibly. Secure your spot now to gain access to this critical discussion and connect with leaders shaping the future of AI. Limited-time ticket savings are available, making it an ideal time to register. The tools are advancing rapidly, and the ethical frameworks need to keep pace. Participating in discussions like those at Bitcoin World Sessions: AI is essential for anyone navigating the complexities of modern technology. To learn more about the latest AI ethics trends, explore our article on key developments shaping AI safety features. This post AI Ethics Confronted: Experts Tackle Generative AI’s Dangerous Line at Bitcoin World AI first appeared on BitcoinWorld and is written by Editorial Team
Bitcoin breaking a record by exceeding the $111,000 level yesterday had a great impact on the cryptocurrency market. While this rise was supported by increasing optimism about regulations in the US, it was also a matter of curiosity how high-income investors positioned this asset in their portfolios. According to Michael Sonnenfeldt, founder and chairman of TIGER 21, ultra-rich investors are considering cryptocurrencies, especially Bitcoin, as a long-term store of value, with some even preferring it to gold. “For some of our members, Bitcoin is neck and neck with gold. It stands out as a store of value like gold, but it is more attractive because it is digital,” Sonnenfeldt said. TIGER 21’s 1,600 members manage a combined total of nearly $200 billion in wealth. Members’ portfolio allocations average 28% private equity, 28% real estate, and 24% public stocks. Cryptocurrency investments currently range from 1% to 3% of total assets. However, Sonnenfeldt noted that some members are allocating a significant portion of their portfolios to Bitcoin. Related News: Analysis Firm Warns: “Something Unusual Is Going On With This Altcoin's Data” Noting that Bitcoin has shown the highest performance among all asset classes in recent years, Sonnenfeldt said, “This is a development that increases institutional interest not only with price movements, but also with Coinbase's inclusion in major indices.” While interest in Bitcoin is increasing among TIGER 21 members, investors' attitudes towards volatility are also drawing attention. According to Sonnenfeldt, while there is concern among those who buy and sell in the short term, long-term investors see every decline as a buying opportunity. “This is already the dynamic that creates the market. While investors with a fundamental belief see declines as opportunities, those who are momentum-oriented can be more cautious,” he said. While traditional investment instruments are weakening, investments in hedge funds in particular have fallen to 1%. On the other hand, Bitcoin's digital nature and decentralized structure attract investors. *This is not investment advice. Continue Reading: What Are America’s Ultra-Rich Doing with Bitcoin: An Executive Managing $200 Billion Speaks Out, Secrets Revealed
A report from the end of 2024 showed 350 DePIN tokens combined for $50 billion in market cap
Venom Foundation’s crypto spiked after a successful closed-network test, revealing significant throughput. Scalable blockchain Venom claims that it can handle more throughput than Solana. On Friday, May 23, the Venom Foundation announced a successful closed-network beta test. Specifically, the network achieved 150K transactions per second, more than Solana’s theoretical limit of 65K TPS. https://twitter.com/VenomFoundation/status/1925940386398138417 For the Venom Foundation, this is a key step ahead of its mainnet launch, set for the third quarter of 2025. According to the foundation, this would make Venom one of the blockchains with the highest throughput out there. You might also like: Base’s TPS claim may be inflated by counting failed transactions For instance, Solana advertises a theoretical limit of 64,000 TPS, while the payment giant Visa can support 24,000 TPS. Following the successful test, Venom’s token spiked 2%, reaching a daily high of $0.1031. Venom Foundation prepares for enterprise use cases According to the Venom Foundation, the goal of this stress test was to ensure that the blockchain is ready for enterprise use cases in DeFi. This includes payment providers, crypto exchanges, and games, among other DeFi users. Specifically, these are the types of platforms that require a reliable and scalable blockchain that doesn’t break down under network stress. “Throughput only matters if it can remain reliable under pressure,” said Christopher Louis, Chief Executive Officer at Venom. “Our new stack can handle enterprise‑scale workloads without spiking fees or compromising decentralization, which is exactly what payment providers, exchanges, and game studios need.” Venom uses directed acyclic graph technology, which is different than traditional blockchains, which record transactions sequentially one after another. Unlike blockchains, transactions can be confirmed in parallel, as long as they don’t conflict with each other. Based in Abu Dhabi and registered in the Cayman Islands, Venom Foundation is a non-profit supporting the development of its layer-1 blockchain. Their focus is on building a scalable blockchain for DeFi use cases. Read more: Blockchain performance overstated by 20x, Taraxa report finds
Lawmakers Call for Federal Investigation into Trump Memecoin Dinner More than 30 members of the US Congress have called for the Department of Justice to investigate a controversial dinner where Donald Trump dined with key investors in the $TRUMP memecoin, with claims of foreign influence and violations of the US Constitution. Claims of Foreign Influence and Constitutional Violations On May 22, 35 members signed a letter to the DOJ’s Public Integrity Section urging an investigation of whether the dinner violates federal bribery laws or the Constitution’s emoluments clause. That clause prohibits US presidents from receiving foreign state gifts without Congressional approval. Citing Bloomberg, the lawmakers noted that several of the attendees were probably foreign nationals connected with crypto exchanges, and that they ought to be raising questions about possible covert foreign influence in US politics. $TRUMP memecoin. invites foreign governments to buy their way in with the President,” the letter warned. Protests and Unreleased Guest List The event took place at Trump National Golf Club in Washington, DC, with protests led by Senator Jeff Merkley and protesters holding signs like “illegal crypto party.” Some guests wore masks over their faces, but Tron creator Justin Sun and other Trump allies attended, as reported. Calls for Trump to release the guest list before the event were made, but no list was released at press time. Impact on Upcoming Crypto Legislation The controversy came at a time when Congress is debating significant crypto legislation like the GENIUS Act that regulates stablecoins. New crypto legislation has been advanced by Democratic lawmakers to restrict political crypto ties, with Rep. Maxine Waters suggesting bans on crypto access for top US officials and their relatives. Senators also plan to amend the GENIUS Act to encompass Trump’s connection with World Liberty Financial—a family-funded crypto platform and issuer of the USD1 stablecoin.
Dogecoin’s recent price action has taken a noticeably bullish turn, with the meme coin bouncing off support at the beginning of the week and steadily building upward momentum. Over the past few days, Dogecoin has been on the path to reclaiming the $0.25 level after rebounding from a low near $0.215. This upward move coincides with Bitcoin’s surge to new all-time highs, which has helped to inject new confidence across the broader crypto market. Notably, technical analysis of the Dogecoin/TetherUS pair on the daily candlestick timeframe shows that the meme coin’s price has now flipped into an ascending channel headed for at least $0.3. Dogecoin Confirms Bullish Breakout As Trendline Crumbles According to a technical analysis posted on the TradingView platform by crypto analyst Melika, Dogecoin has bounced on through a long-standing bearish trendline that had acted as a major resistance in April. This breakout is a by a clear validation of an ascending channel that has formed since late April. Related Reading: Dogecoin Falling Wedge Breakout Puts Bulls In Charge, Target Moves Up To $0.62 The breakout indicates a full transition from bearish pressure into a bullish environment, with the price structure now leaning heavily in favor of the bulls. In this case, Dogecoin is now on the path to continue its uptrend from its $0.13 bottom on April 7, and the next target is to reach the top of the ascending channel. A critical aspect of this breakout is the reaction from the midline of the channel, which Dogecoin respected with precision before climbing again. The coin also retested the demand block between $0.1950 and $0.2150 earlier in the week. The failure to break below shows that this region has now turned into a strong structural support moving forward. As long as the price remains above this level, Dogecoin’s potential of reaching the top of the ascending channel is valid. What Targets Lie Ahead For Dogecoin? With momentum now on the side of the bulls, Melika’s analysis projects three critical levels that could serve as short profit zones for Dogecoin traders. The first target is $0.2530, which aligns with the swing high on May 11. If Dogecoin bulls maintain the price uptrend, the second target of $0.2750 could come into play. Interestingly, this target is located at the upper boundary of the ascending channel. Related Reading: Dogecoin Price Gearing Up For Major Explosive Rally – Why $1 Is Still In The Cards Beyond that lies the major horizontal resistance at $0.3035. This level is significant because it acted as a support level for Dogecoin in January. However, Dogecoin eventually went on a clean breakthrough below $0.3035 in early February, which has flipped into a zone to look out for resistance. Breaking through this area would not only signal a full recovery from the recent downtrend but also open the door to higher price levels. However, any rejection or breakdown below $0.1950 would invalidate this bullish thesis, as it would indicate a breach of both the demand zone and the channel structure. At the time of writing, Dogecoin is trading at $0.2447, up by 2% in the past 24 hours. Featured image from Getty Images, chart from Tradingview.com
BitcoinWorld AI Startups: Unlock Scaling Secrets with Google Cloud’s Iliana Quinonez at Bitcoin World Sessions For anyone navigating the fast-paced world of technology and innovation, especially at the intersection of AI and decentralized technologies, understanding how to effectively build and scale is paramount. Access to powerful tools is readily available, but the real challenge lies in applying them strategically. This is precisely the focus at Bitcoin World Sessions : AI, where we dive deep into the critical decisions that determine success for early-stage companies. Scaling AI Startups: A Tactical View from Google Cloud We are excited to host Iliana Quinonez, Director of North America Startups Customer Engineering at Google Cloud. Iliana brings a wealth of experience and a distinctly tactical perspective on supporting AI Startups . Her role involves leading a technical team that works directly with promising startups across North America, guiding them from their initial stages through to significant growth, including integrating advanced Google Cloud AI and other essential tools. Her approach is grounded in the reality of startup life: limited time, capital, and a constant need for clarity. Iliana helps founders maximize these crucial resources, ensuring they make informed decisions about their technology stack and strategy. Navigating the Complexities of AI Agents and Infrastructure Startups currently building solutions powered by AI Agents face complex questions that go beyond simply choosing a model. Considerations include: What is the optimal architecture for building intelligent, scalable behavior? How do you design data pipelines that enable agents to reason, not just react? Where is the line between leveraging external APIs and developing proprietary core intellectual property? Iliana will address these challenges directly in her session. Her goal is to provide founders with actionable frameworks to cut through the noise and make sound, defensible choices regarding their infrastructure, how they orchestrate different models, and effective collaboration within their teams and with external partners. Google Cloud AI: Providing the Foundation for Growth Iliana’s team at Google Cloud partners closely with startups, offering hands-on support to leverage the extensive suite of Google Cloud AI tools. This partnership is crucial for early-stage companies that need robust, scalable infrastructure without the prohibitive cost or complexity of building everything from scratch. She helps founders understand how to best utilize cloud resources for training models, deploying agents, and managing data pipelines efficiently. Why Iliana Quinonez’s Perspective is Essential for Scaling AI What makes Iliana’s insights particularly valuable is her broad experience. With over twenty years in leadership roles at major tech companies like Salesforce, SAP, and BEA Systems, she has helped both large enterprises and nimble startups translate ambitious product visions into practical, executable plans. Furthermore, her team’s close collaboration with accelerators, venture capitalists, and developer communities gives her a comprehensive view of the AI ecosystem – understanding what approaches are yielding results and which ones are falling short when it comes to Scaling AI . Attendees can expect a candid discussion on the potential benefits and inherent risks of building with AI agents today. She will shed light on the tools and technologies startups are currently relying on to succeed, and what it truly takes to make advanced machine learning accessible and practical for more builders, all while maintaining speed and security. Join the Conversation at Bitcoin World Sessions: AI Iliana’s session is just one highlight among many at Bitcoin World Sessions : AI. The event focuses not just on theoretical possibilities but on the practical realities of building AI solutions right now. You’ll hear from leading voices from companies like OpenAI, Anthropic, Cohere, and Google Cloud, covering topics from foundational model strategy to data stack design. If you are building in the AI space, or planning to, this event offers a unique opportunity to gain critical knowledge and network with peers and industry leaders. Tickets are currently available at a significant discount – you can save over $300 and get 50% off a second ticket for a limited time. Bring your co-founder, your head of product, or anyone else who needs to understand the tactical path to Scaling AI . Secure your spot today and ensure you don’t miss out on these essential discussions. AI is moving fast, and founders need the right insights to move even faster. To learn more about the latest AI market trends, explore our article on key developments shaping AI features. This post AI Startups: Unlock Scaling Secrets with Google Cloud’s Iliana Quinonez at Bitcoin World Sessions first appeared on BitcoinWorld and is written by Editorial Team
Coinbase released worrying details about its data breach, Strategy caught a class action lawsuit, and three banks are considering a stablecoin.
This week, Bitcoin and Ethereum exchange-traded funds attracted over $1 billion in new investments, signaling a robust surge in investor interest in crypto assets. The dramatic cash inflow reflects a