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- 🚨 Google’s TPU chip worries OpenAI and Nvidia...
🚨 Google’s TPU chip worries OpenAI and Nvidia...
AI now helps pick the best embryos for IVF
Welcome back to BrainBuzz
Today’s Recipes:
🚨 Google’s TPU chip worries OpenAI and Nvidia...
⚠️ Character AI faces lawsuits over teen harm
💳 Gemini 3 Deep Think rolls out to paid users…
IBM to buy Coinfluent for $11 billion
OpenAI lands a big deal despite Google worries
AI now helps pick the best embryos for IVF
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LATEST DEVELOPMENTS

Google’s new TPU chip ramps AI performance, pressuring Nvidia’s dominance and prompting concern at OpenAI about competitive positioning and compute access.
Details
New chip reveal: Google introduced a next-gen TPU aimed at accelerating AI workloads with strong performance gains.
Strategic target: The TPU is positioned to rival Nvidia’s GPUs in training and inference for large models.
Market reaction: Nvidia investors were rattled as competition for AI compute intensified.
OpenAI implications: OpenAI is reportedly on alert as Google’s in-house compute stack could shift power dynamics in AI.
Ecosystem impact: Greater choice in high-performance AI chips could reduce reliance on a single vendor and reshape costs and access.
Takeaway: Google’s TPU push intensifies the AI compute race, expect faster model training, tighter platform lock-in, and pressure on Nvidia’s moat.

Character.AI faces lawsuits alleging its chatbots exposed minors to harmful content and contributed to teen suicides, raising questions about AI safety, moderation, and liability.
Details
Lawsuits filed: Families allege Character.AI’s chatbots exposed minors to harmful, unsafe interactions.
Core claims: Insufficient safeguards, poor moderation, and failure to protect underage users.
Legal focus: Debates around platform liability, product design, and potential limits of Section 230.
Company stance: Character.AI’s policies and age gates scrutinized; response and updates anticipated.
Regulatory angle: Intensifies calls for youth protections, transparency, and auditability in generative AI.
Industry impact: Signals rising legal risk for AI apps and a push for safety-by-design standards.
Takeaway: AI products aimed at consumers, especially minors, need robust guardrails, clear accountability, and independent safety audits to avoid preventable harm.

Google’s Gemini 3 Deep Think is rolling out to $250/month AI Ultra users, offering parallel reasoning and scoring 41% on Humanity’s Last Exam, amid surging Gemini adoption.
Details
Rollout: Deep Think mode is now available in the Gemini app for AI Ultra subscribers paying $250/month.
Purpose: Designed to tackle complex problems using advanced parallel reasoning to explore multiple hypotheses.
Benchmark: Google says it scored 41% on the “Humanity’s Last Exam,” an extremely difficult LLM benchmark.
Access path: In the app, select Deep Think from the prompt bar dropdown to enable the mode.
Usage scale: Google claims 650 million monthly Gemini users; demand remains high despite safety report scrutiny.
Competitive impact: Reportedly, OpenAI lost 6% of users in a week following Gemini 3’s arrival.
Ecosystem note: Google temporarily capped free prompts for its Nano Banana image generator; paid users unaffected.
Takeaway: Deep Think signals Google’s push for premium, high-reasoning AI, expect tougher benchmarks, rising paid adoption, and tighter competition with OpenAI.
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MORE AI & TECH UPDATES
IBM has agreed to acquire Confluent, a Mountain View–based data infrastructure company, in an all-cash deal valued at $11 billion…
Tesla’s humanoid robot, Optimus, took center stage at a Miami event called Autonomy Visualized, meant to showcase Tesla’s Autopilot and robotics technology…
OpenAI has released new data highlighting rapid growth in enterprise adoption of its AI tools, just days after CEO Sam Altman issued an internal “code red” over Google’s rising competitive threat…
Artificial intelligence is being integrated into in vitro fertilisation (IVF) to improve embryo selection and boost pregnancy success rates…
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