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Welcome to today’s AI Boost

A lean in-house chatbot shows Apple is finally moving beyond feature demos, while Chinese researchers unveil a neuromorphic machine that packs macaque-level neurons. Anthropic has stopped letting OpenAI probe Claude, Google is rolling out its Deep Think reasoning mode to Gemini subscribers, OpenAI lays out its vision for do-anything agents, and fresh numbers put the company’s revenue run-rate at twelve billion dollars. Details follow.

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A small “Answers, Knowledge and Information” team inside Apple is building a lightweight conversational model that can run mostly on device, giving Siri a ChatGPT-style upgrade without heavy cloud costs. The prototype, nicknamed Apple Answer Engine, skips creative writing and focuses on concise responses drawn from on-screen context. Engineers hope to ship a preview alongside iOS 26 next spring, but the schedule could move if accuracy targets are missed.

Zhejiang University researchers revealed Darwin Monkey, a neuromorphic cluster built from 960 Darwin 3 chips that together simulate more than two billion neurons and one-hundred-billion synapses. The system already completes content generation and logic tasks using DeepSeek’s brain-inspired model and is hailed as the first computer with neuron counts close to a macaque. Developers say it will push research on brain-style AI while using just a tenth of the energy required by conventional GPU racks.

Anthropic has revoked API keys that OpenAI engineers were using to benchmark Claude against GPT-5 in areas like coding and safety. Anthropic claims such competitive testing breaks its terms, though it will still allow limited calls for public leaderboard comparisons. OpenAI calls the cutoff disappointing but says its own o-series models remain available to Anthropic, highlighting growing rivalry as both chase enterprise customers.

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Deep Think, an enhanced reasoning setting inside Gemini 2.5, is now live for Google AI Ultra users and select academics. The mode extends “thinking time” so the model can explore parallel solution paths, delivering Bronze-level International Math Olympiad scores in minutes instead of hours. Google explains that new reinforcement-learning techniques help Deep Think choose among hypotheses and excel at code, science, and creative design tasks, all while posting safer outputs than 2.5 Pro.

A TechCrunch deep dive traces OpenAI’s journey from MathGen research to the o-series reasoning models that underpin its ChatGPT Agent vision. Internal teams now focus on reinforcement learning methods that let multiple sub-agents search for answers before voting on the best result, a strategy that earned a gold medal at the 2025 International Math Olympiad. CEO Sam Altman says the goal is a computer that can complete any online task once asked, but the company still wrestles with hallucinations and complex workflows.

OpenAI has doubled revenue since January, pulling in about one billion dollars per month and counting roughly seven-hundred million weekly active ChatGPT users. The Microsoft-backed firm now expects to burn eight billion dollars in cash this year as it expands model training and builds massive data centers, and it is finalizing the second tranche of a thirty-billion-dollar funding round with Sequoia and Tiger Global among the key investors.

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Stay tuned for more updates, and have a fantastic day!

Cheers,
Zephyr