According to @demishassabis, Google AI Ultra subscribers can now access Gemini 3 Deep Think mode in the Gemini app, with product details provided in Google’s official blog. According to Google Blog, Deep Think is designed for multi-step reasoning with extended deliberation time, enabling complex planning, code generation, and data analysis tasks that benefit from longer context and chain-of-thought style internal processing. As reported by Google Blog, early access is limited to AI Ultra tier users inside the Gemini app, signaling a premium monetization path for advanced reasoning features and positioning Gemini 3 against OpenAI’s o3 and Anthropic’s Claude Opus in enterprise-grade reasoning benchmarks. According to Google Blog, business use cases include multi-source research synthesis, financial modeling, and long-form content structuring, and the rollout suggests opportunities for SaaS vendors to integrate Deep Think via Google’s ecosystem for higher accuracy workflows like RFP drafting and compliance review. As reported by Google Blog, the feature emphasizes reliability safeguards and usage guidance for longer inference times, implying higher per-query costs but potentially improved task completion rates for knowledge work and developer productivity.

According to Lex Fridman on X (@lexfridman), Peter Steinberger (@steipete) detailed how OpenClaw, an open-source self-modifying AI agent, surpassed 180,000 GitHub stars and went viral due to its autonomous coding loops and rapid iteration (as reported by Lex Fridman’s interview thread and video). According to the interview, OpenClaw’s architecture enables tool use, code execution, and reflection to improve itself, which Steinberger contrasted with model capabilities in GPT Codex 5.3 and Claude Opus 4.6 for programming tasks (according to Lex Fridman). As reported by Lex Fridman, the discussion covered concrete security concerns—sandboxing, permission gating, and supply-chain safeguards—plus developer guidance on programming setups and how to code with agents to reduce latency and cost. According to Lex Fridman, Steinberger also addressed brand and community issues (name changes, governance), and evaluated claims like agents replacing 80% of apps and potential acquisition interest from OpenAI and Meta, emphasizing open-source community momentum and composable agent tooling. Business impact: according to the interview, teams can leverage OpenClaw patterns to automate software maintenance, prototyping, and CI workflows, while prioritizing runtime isolation, least-privilege policies, and auditable logs for enterprise adoption.

According to @godofprompt, leading job candidates are increasingly turning to large language models (LLMs) such as ChatGPT, Claude Opus, and Gemini as personalized career coaches, enabling them to tailor applications, optimize interview responses, and secure interviews 3–5 times faster (source: https://x.com/godofprompt/status/2013862612371742895). This trend marks a significant shift away from traditional platforms like LinkedIn and job boards, as AI-driven prompts provide targeted, actionable guidance for job switching and career advancement. Businesses in the AI sector can capitalize on this by developing advanced career coaching tools, AI-powered resume optimizers, and industry-specific prompt libraries to support both job seekers and recruitment professionals.

According to @godofprompt on Twitter, a side-by-side comparison was conducted between Gemini 3, ChatGPT 5.1, and Claude Opus, focusing on their ability to generate a single HTML file for a fully functional 3D Rubik's Cube simulation using Three.js from a CDN, with the additional requirement that the cube can solve itself automatically (source: https://twitter.com/godofprompt/status/1994234512486584729). This comparison highlights the practical applications of advanced AI models in code generation and rapid prototyping for interactive 3D web experiences. The results underscore significant advancements in AI-driven software development tools, offering businesses new opportunities to accelerate web-based 3D visualizations and simulations. The ability to generate complex, interactive applications from a single prompt demonstrates how generative AI is transforming frontend development workflows, making sophisticated features accessible to a wider range of users and organizations.