New AI News Shows OpenAI Aims $20 Billion as Google Develops Models

Q: What does New AI News Shows OpenAI Aims $20 Billion as Google Develops Models cost?

The pricing for New AI News Shows OpenAI Aims $20 Billion as Google Develops Models is: Check the official website. Visit the official website for the most up-to-date pricing information and available plans.

President Trump recently signed an executive order aimed at limiting state artificial intelligence laws, seeking to establish a single national framework for AI regulation. This move challenges existing state initiatives and ties federal grants to compliance, with Trump arguing that 50 different state approvals would hinder the US in the global AI race against China. The order directs the Attorney General to form an AI Litigation Task Force and the Commerce Secretary to identify conflicting state laws, while also calling on Congress to create a federal AI framework that protects children, prevents censorship, and respects copyright. However, this order faces significant pushback. MAGA conservatives had already been advocating for changes to the upcoming order, expressing concerns about states' rights to regulate AI, particularly regarding child protection and jobs. Governors Ron DeSantis and Spencer Cox, among others, have spoken against federal preemption and continue their state-level AI initiatives. State lawmakers in California and New York plan to challenge the order in court, arguing the White House cannot preempt state laws. Senator Brian Schatz intends to repeal the order, while Senator Marsha Blackburn will work on a federal framework, indicating ongoing legal battles and debates over AI regulation. In the rapidly evolving AI industry, OpenAI demonstrated its development speed by building the Sora Android app in just 28 days, from October 8 to November 5, 2025. A small team of four engineers accomplished this feat largely by utilizing OpenAI's AI agent, Codex, which consumed about 5 billion tokens and assisted with much of the coding and architecture. OpenAI heavily relies on Codex, even using it to improve itself, with external developer use increasing 20 times after its interactive version launched with GPT-5 in August 2025. Meanwhile, Google recently announced a new AI model, indicating it has nearly closed the gap with OpenAI's foundational AI technology. This comes as OpenAI aims to reach $20 billion in annual revenue by the end of 2025, facing a significant difference between its spending and earnings. The broader implications of AI extend to ethical considerations, infrastructure, and strategic planning. AI is transforming human research, necessitating updates to ethical rules and regulations, especially concerning personal data use without consent and the risks to underrepresented groups. The shift in AI hardware towards NPUs for edge computing means more processing will occur directly on devices, moving away from sole reliance on large data centers. However, AI's immense energy consumption poses a challenge, as the US infrastructure struggles to meet demand. MIT expert George Westerman highlights that successful AI transformation requires flexible strategies, with companies needing to set a vision and adapt through smaller, quicker projects, while leaders address employee fears about job displacement. New AI-powered applications are also emerging, focusing on privacy and enhanced features. Verum Messenger, launched on December 12, 2025, offers an all-in-one platform with total privacy, a built-in AI assistant, and Verum eSIM for global connectivity, allowing users to register without personal contact information. On the same day, Sam Altman's Worldcoin launched a major update for its mobile app, aiming to be a "super app" with new chat and banking features, including Signal-like security and integration with crypto and prediction markets, despite facing privacy concerns and bans in several countries. Even chat sites like Uhmegle are incorporating AI alongside human moderators for safety, though users should be aware that chats are not fully private.

Key Takeaways

President Trump signed an executive order to limit state AI laws, aiming for a single national framework and linking federal grants to compliance.
States, including California, New York, and governors like Ron DeSantis, are defying Trump's AI order and plan legal challenges, indicating ongoing regulatory conflict.
OpenAI rapidly developed its Sora Android app in 28 days using its AI agent, Codex, which also helps improve Codex itself and is widely used by engineers.
Google has nearly closed the AI technology gap with OpenAI, which aims to reach $20 billion in annual revenue by the end of 2025 amidst high spending.
AI's increasing energy consumption and outdated US infrastructure pose significant challenges, with data centers largely controlled by a few major tech companies.
AI transformation requires flexible strategies, focusing on quick, adaptive projects and addressing employee concerns about job displacement, according to MIT expert George Westerman.
Ethical rules for human research need urgent updates due to AI's use of personal data without consent and its impact on underrepresented groups.
AI hardware is shifting from cloud-based GPUs to NPUs for more efficient processing at the "edge" of networks, directly on devices.
New privacy-focused AI applications like Verum Messenger and Sam Altman's Worldcoin "Super App" launched on December 12, 2025, offering features like AI assistants, secure chats, and digital banking, though Worldcoin faces privacy concerns.
Chat platforms like Uhmegle are using AI and human moderation for safety, but users should be aware of temporary data retention and lack of full privacy.

MAGA conservatives push changes to Trump AI order

MAGA conservatives are trying to change President Trump's upcoming executive order on artificial intelligence. They worry about the order's impact on states' rights to regulate AI, especially for protecting children and jobs. Governors Ron DeSantis, Sarah Huckabee Sanders, and Spencer Cox have spoken against federal preemption. Some conservatives propose an order focused on "human flourishing" or one that opposes "woke state AI laws." They warn that getting AI regulation wrong could harm Trump's political future.

Trump signs order to control state AI laws

President Trump signed an executive order on Thursday to limit state artificial intelligence laws. The order aims to create a single national framework for AI by challenging state laws and linking federal grants to compliance. Trump stated that having 50 different state approvals would hinder the US in the AI race against China. The order directs the Attorney General to form an AI Litigation Task Force and the Commerce Secretary to identify conflicting state laws. It also calls for Congress to create a federal AI framework that protects children, prevents censorship, and respects copyright.

States defy Trump's order on AI laws

States are continuing to create their own AI laws despite President Trump's executive order aimed at limiting them. State lawmakers like California's Scott Wiener and New York's Alex Bores plan to fight the order in court. Republican governors Ron DeSantis and Spencer Cox also continue their state-level AI initiatives. Critics argue the White House cannot preempt state laws and that the order pushes complex issues like child safety and censorship to Congress. Senator Brian Schatz plans to repeal the order, while Senator Marsha Blackburn will work on a federal framework. Many legal challenges and ongoing debates are expected, leaving the future of AI regulation unclear.

OpenAI built Sora Android app in 28 days using Codex

OpenAI launched its Sora Android app in November 2025, which quickly became the number one app in the Play Store. A small team of four engineers built the app in just 28 days, from October 8 to November 5, using OpenAI's AI agent, Codex. This rapid development was possible because Codex helped with much of the coding, consuming about 5 billion tokens. The app, which lets users turn prompts into videos, achieved a 99.9 percent crash-free rate. OpenAI treated Codex like a new senior engineer, providing clear guidance on architecture and goals, as Codex still needs human direction for complex judgment and understanding user experience.

OpenAI uses its AI agent Codex to improve itself

OpenAI heavily relies on its AI coding agent, Codex, and even uses it to make Codex better. Many OpenAI engineers use Codex daily, and external developer use increased 20 times after its interactive version launched with GPT-5 in August 2025. Codex helps by monitoring its own training, processing user feedback, and even writing parts of its own research. OpenAI employees treat Codex like a teammate, assigning it tasks through project management tools. For example, Codex helped a small team of four engineers build the Sora Android app in just 28 days, assisting with architecture and component implementation.

Google closes AI gap with OpenAI

Google recently announced a new AI model, showing it has nearly caught up to OpenAI's foundational AI technology. This shrinking gap comes at a challenging time for OpenAI, which faces a large difference between its spending and earnings. OpenAI hopes to reach 20 billion dollars in annual revenue by the end of 2025. Industry experts like Rayan Krishnan of Vals AI note that the methods for building advanced AI models are now widely understood across major AI labs.

AI changes human research ethics need updates

Artificial intelligence is changing how research on humans is done, but current ethical rules and regulations are not keeping up. AI can improve healthcare and make research more efficient, but only if it is built responsibly with proper oversight. Our personal data is often used by AI systems without our knowledge or consent, and underrepresented groups face the highest risks. AI now uses large amounts of population data to make decisions about individuals, which is a big shift from older research methods. This new approach highlights the need to update definitions of identifiable data, like those in HIPAA, which are outdated for the age of AI.

AI hardware moves to NPUs for edge computing

The hardware used for artificial intelligence is changing as AI moves from cloud-based systems to devices at the "edge" of networks. While GPUs have traditionally powered AI, NPUs are now becoming a strong alternative, especially for edge applications. Jeffrey Chen, a vice president at Kneron, explained these trends at the Human-Machine Co- conference. This shift means more AI processing will happen directly on devices rather than relying solely on large data centers.

Verum Messenger offers AI eSIM and total privacy

Verum Messenger launched on December 12, 2025, as an all-in-one app focusing on privacy, AI, and connectivity. It allows users to register without a phone number or email, providing a unique Verum ID and encrypting all chats and files on the device. The app includes personal and group chats, audio and video calls, and features like message self-destruction and screenshot protection. Verum Messenger also has a built-in AI assistant for tasks like translation and content creation, an anonymous email service called Verum Mail, and Verum eSIM for mobile internet in over 150 countries. It combines many services into one secure platform for users who value digital autonomy.

AI faces energy and infrastructure challenges

Artificial intelligence has hidden weaknesses, mainly its huge energy consumption. The United States cannot fully benefit from AI without enough energy to power it, and much of its current infrastructure is old. Even if enough energy existed today, transmitting it reliably would be difficult as demand grows. Data centers are mostly controlled by the US government and a few large tech companies. Smaller AI firms must rent resources from these big players, which could lead to competition with consumers for energy and higher prices.

AI transformation needs new flexible strategies

George Westerman, an MIT expert, says that while old lessons from digital change apply to AI, this time is different. Success with AI depends on how an organization handles change, not just the technology itself. Because AI is developing so fast, long-term plans are not effective. Companies should instead set a vision and move towards it with smaller, quicker projects to learn and adapt. Leaders must motivate employees by addressing fears about job loss and showing how they can be part of the change.

Uhmegle review safety and privacy for chat

Uhmegle is a random video and text chat site for users 18 and older, similar to the closed Omegle. It uses both AI and human moderators to ensure safety and handles violations with permanent bans. The site emphasizes quick, anonymous access without needing an account and offers country and interest-based matching. However, its privacy policy notes that it temporarily saves webcam screenshots for moderation and retains user data for banned accounts. Users should be aware that chats are not fully private and personal information should not be shared. The review also suggests alternatives like Emerald Chat and Chatroulette for those seeking different features or more transparency.

Sam Altman's Worldcoin launches new 'Super App'

Sam Altman's Worldcoin startup launched a major update for its mobile app on December 12, 2025, adding new chat and banking features. The app aims to be a "super app" combining crypto, prediction markets, and an "everything app" dream. It includes a chat feature with Signal-like security, showing blue bubbles for verified humans and gray for unverified. Users can also send payments, integrate with apps like Kalshi and Polymarket, and use a new digital wallet for virtual bank accounts and direct deposits. However, the app has faced privacy concerns and bans in several countries.