Opena’s Remored $ 20k / for Agents

OpenAI is rolling out AI agents priced between $2,000 and $20,000 monthly, targeting enterprise and research clients, The Information reports. The corporate expects these tools to eventually make up 20-25% of its revenue, with SoftBank backing the hassle with a $3 billion investment for 2025.

Offerings range from a $2,000 ChatGPT agent sorting sales results in a $10,000 coding assistant for senior engineers. At the highest tier, a $20,000 model is built for PhD-level research. With OpenAI burning through an estimated $5 billion last 12 months, these high-margin products are a calculated bet to balance the books.

Concurrently, GPT-4.5 is rolling out to ChatGPT Plus users, refining fluency and accuracy but falling short in reasoning. CEO Sam Altman admitted it wasn’t designed for benchmark supremacy, trailing models like Claude 3.7 and DeepSeek AI.

Despite expanded compute training, the model costs $150 per million tokens—15 times that of GPT-4o—raising questions on adoption. OpenAI is staggering access over three days resulting from GPU constraints, with full support for ChatGPT tools and APIs.

Expanding its AI footprint, OpenAI has also introduced ChatGPT for macOS with IDE integration, enabling direct code edits and automating routine development tasks for Plus, Pro, and Team subscribers.

Nevertheless, OpenAI can also be recalibrating its AGI stance. In a recent blog post confirms OpenAI now not sees AGI as a dramatic breakthrough but a slow, iterative climb. This shift has shaped its approach to safety, specializing in real-world testing over theoretical doomsday planning. Internal discussions highlight AGI’s financial stakes, with Microsoft defining it as AI that outperforms humans in key economic tasks and generates at the least $100 billion in profit.

Brundage refutes this, asserting that GPT-2’s phased release aligned with OpenAI’s current iterative deployment philosophy. His criticism underscores concerns that OpenAI is downplaying safety risks to speed up product releases, a shift that coincides with mounting financial pressure and competition. Read more.

Google is launching AI Mode, an experimental Search feature powered by Gemini 2.0. It runs parallel searches across web content, Knowledge Graph data, and live shopping feeds to deliver structured, interactive responses.

Unlike traditional search, AI Mode supports multi-step queries and real-time comparisons, refining answers with contextual reasoning. It prioritizes factual accuracy, linking on to sources when confidence is low. Early tests show users enter twice as much detail and follow up 25% of the time.

Currently in Search Labs for Google One AI Premium subscribers, AI Mode is on the market via google.com/aimode and the Google app. Google can also be expanding AI Overviews to cover advanced coding, math, and multimodal queries, now open to all users. The update positions Google Search against ChatGPT Search and Perplexity AI within the AI-driven search race. Read more.

Chinese scientists have introduced Zuchongzhi 3.0, a 105-qubit superconducting quantum computer, pushing the boundaries of quantum speed. Developed by a team led by Pan Jianwei and Zhu Xiaobo, it executes quantum tasks a quadrillion times faster than top supercomputers and a million times faster than Google’s latest results.

With 182 couplers and improved qubit control, Zuchongzhi 3.0 outperforms its predecessor, reinforcing China’s role in the worldwide quantum race. The research, published in Physical Review Letters, highlights progress in quantum error correction, entanglement, and simulation. The team is working on surface code error correction, a step toward scalable quantum computing. Read more.