A simple prompt injection trick can turn Google Translate into a chatbot that answers questions and even generates dangerous content, a direct consequence of Google switching the service to Gemini models in late 2025.
OpenAI is rolling out ads in ChatGPT for users in the United States. The test targets logged-in adult users on the free and "Go" tiers. Plus, Pro, Business, Enterprise, and Education plans remain ad-free. Free-tier users can opt out of advertising, but doing so reduces their daily message allowance.
OpenAI says the decision comes down to high infrastructure costs. The company stresses that ads don't influence ChatGPT's responses, and conversations stay private. Which ad a user sees depends on the conversation topic, previous chats, and interactions.
Users under 18 won't see any ads, and ads won't appear around sensitive topics like health or politics. Users can hide individual ads, delete their ad data, and adjust personalization settings. Advertisers get aggregated performance statistics but have no access to chat logs or personal data, OpenAI says.
What will always remain true: ChatGPT’s answers remain independent and unbiased, conversations stay private, and people keep meaningful control over their experience.
Putting ads in chatbots is controversial, since the potential for manipulation is greater than with traditional search engines. OpenAI says it will keep ads clearly separated from content. Long term, the company plans to roll out additional ad formats.
OpenAI CEO Sam Altman told employees in an internal Slack message that ChatGPT is once again growing by more than ten percent per month, CNBC reports. The last official number was 800 million weekly users in January 2026.
Altman also said an updated chat model for ChatGPT is set to ship this week. It could be the chat variant of GPT 5.3, which OpenAI released last week as the coding-focused version Codex. The model scores particularly well on agent coding benchmarks and is 25 percent faster, according to OpenAI.
The Codex coding product has grown roughly 50 percent in just one week, according to Altman (60% "Codex user", now confirmed via X), who called the growth "insane." It competes directly with Anthropic's popular Claude Code. OpenAI's new Codex desktop app in particular is likely to expand gradually beyond coding use cases, following a similar path to Anthropic's Cowork.
Claude Opus 4.6 is the new top-ranked AI model, at least until Artificial Analysis finishes benchmarking OpenAI's Codex 5.3, which will likely pull ahead in coding. Anthropic's latest model leads the Artificial Analysis Intelligence Index, a composite of ten tests covering coding, agent tasks, and scientific reasoning, with first-place finishes in agent-based work tasks, terminal coding, and physics research problems.
Running the complete test suite costs $2,486, more than the $2,304 required for GPT-5.2 at maximum reasoning performance. Opus 4.6 consumed roughly 58 million output tokens, twice as many as Opus 4.5 but significantly fewer than GPT-5.2's 130 million. The higher total price comes down to Anthropic's token pricing of $5 and $25 per million input and output tokens, respectively.
Opus 4.6 is available through the Claude.ai apps and via Anthropic's API, Google Vertex, AWS Bedrock, and Microsoft Azure.
Anthropic just launched a new fast mode for Claude, and the pricing is steep: the "Fast Mode" for Opus 4.6 costs up to six times the standard rate. In return, Anthropic says the model responds 2.5 times faster at the same quality level. The mode is built for live debugging, rapid code iterations, and time-critical tasks. For longer autonomous runs, batch processing/CI-CD pipelines, and cost-sensitive workloads, Anthropic says you're better off sticking with standard mode.
| Standard | Fast mode | |
|---|---|---|
| Input ≤ 200K tokens | $5 / MTok | $30 / MTok |
| Input > 200K tokens | $10 / MTok | $60 / MTok |
| Output ≤ 200K tokens | $25 / MTok | $150 / MTok |
| Output > 200K tokens | $37,50 / MTok | $225 / MTok |
Fast Mode can be toggled on in Claude Code with /fast and works across Cursor, GitHub Copilot, Figma, and Windsurf. There's a 50 percent introductory discount running until February 16. The mode isn't available through Amazon Bedrock, Google Vertex AI, or Microsoft Azure Foundry. Anthropic plans to expand API access down the line, interested developers can sign up for a waiting list.
Integrating AI agents into enterprise operations takes more than a few ChatGPT accounts. OpenAI is hiring hundreds of engineers for its technical consulting team to customize models with customer data and build AI agents, The Information reports. The company currently has about 60 such engineers plus over 200 in technical support. Anthropic is also working directly with customers.
The problem: AI agents often don't work reliably out of the box. Retailer Fnac tested models from OpenAI and Google for customer support, but the agents kept mixing up serial numbers. The system reportedly only worked after getting help from AI21 Labs.
This need for hands-on customization could slow how fast AI providers scale their B2B agent business and raises questions about how quickly tools like Claude Cowork can deliver value in an enterprise context. Model improvements and better reliability on routine tasks could help, but fundamental LLM-based security risks remain.
Nvidia CEO Jensen Huang claims in a CNBC interview that AI no longer hallucinates. At best, that’s a massive oversimplification. At worst, it’s misleading. Either way, nobody pushes back, which says a lot about the current state of the AI debate.
