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- 👀 You can now tone ChatGPT up or down...
👀 You can now tone ChatGPT up or down...
The full list of tech layoffs in 2025
Welcome back to BrainBuzz
Today’s Recipes:
👀 You can now tone ChatGPT up or down...
🤯 Humanoid robots sound real
🧠 What to know about AI job interviews
The full list of tech layoffs in 2025
Doctors warn AI companions are dangerous
Samsung may make chips for Elon Musk’s xAI
AI Tutorial of the Day
And More….
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LATEST DEVELOPMENTS

OpenAI launched direct controls to adjust ChatGPT’s warmth and enthusiasm, letting users and teams set consistent tone presets, with admin policies and API parameters for developers.
Details
Feature rollout: Sliders let you tune ChatGPT’s warmth and enthusiasm per chat or as a default setting.
Presets: Save tone presets to keep responses consistent across conversations and projects.
Context-aware usage: Apply different tones for tasks (e.g., formal for reports, upbeat for brainstorming).
Enterprise controls: Admins can set org-wide tone policies, enforce defaults, or limit adjustments.
API support: Developers get parameters to programmatically set tone for apps and workflows.
Guardrails unchanged: Safety and factuality systems remain; tone controls don’t override safeguards.
Takeaway: Direct tone controls make ChatGPT more adaptable and consistent, use presets for your brand voice, and enforce policies at team scale.

Humanoid robot demos outpace real capabilities. Practical robots win in factories today; humanshape adds cost and complexity with little payoff. Timelines are optimistic; real deployment is rare.
Details
Claim vs. reality: Demos: Polished videos and staged trials. Reality: Limited dexterity, slow movement, short battery life.
Form-factor trade-offs: Human-shape: Expensive, complex, fragile. Alternatives: Wheels, arms, and carts outperform in warehouses.
Use cases today: Viable tasks: Repetitive, structured workflows. Gaps: Unstructured handling, clutter, and edge cases.
Economics: Costs: High unit price and maintenance. ROI: Hard to beat mature non-humanoid systems and cheap labor.
Timelines: Promises: “Years away.” Pattern: Slips and pilot purgatory; few sustained deployments.
Workforce impact: Near-term: Augmentation, not replacement. Need: Training, safety standards, and realistic expectations.
Takeaway: Focus on robots that solve specific jobs well. Humanoid hype is loud, but utility, reliability, and economics, today, favor simpler, non-humanoid machines.

Companies increasingly use AI chatbots and one-way video to screen candidates; success hinges on energy, keywords, structured answers, and awareness of AI scoring and bias.
Details
Expect AI-led screens: First rounds may be one-way video or chatbot interviews; treat them like real interviews.
Project energy on camera: Practice to avoid the “feedback void,” keep eye contact, and minimize note-reading cues that AI may flag.
Use role keywords: Chatbots parse for job-description concepts and positive framing; give concise, content-rich answers beyond yes/no.
Apply structured frameworks: Use STAR (or CAR/SMART) for situational questions to deliver clear context, actions, and results.
Know scoring and bias risks: AI generates composite scores for recruiters; systems can amplify first impressions and may disadvantage nonnative speakers.
Takeaway: Match the job’s keywords, speak with energy, and structure every answer, then let the AI scoring get you to the human.
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MORE AI & TECH UPDATES
On December 21, Waymo temporarily halted its robotaxi service in San Francisco after a widespread power outage left many of its autonomous vehicles stalled on city streets…
The tech industry in 2025 has faced another turbulent year of workforce reductions, with over 22,000 employees laid off across multiple companies…
A new paper in the New England Journal of Medicine by physicians from Harvard Medical School and Baylor College of Medicine raises alarms about the dangers of “relational AI”, chatbots designed to simulate emotional support, companionship, or intimacy…
Samsung Foundry is reportedly finalizing a contract with Elon Musk’s AI firm, xAI, best known for developing the Grok chatbot…
POLL OF THE DAY
HOW TO AI
In a world increasingly driven by artificial intelligence, the idea of having a personalized AI assistant is no longer a futuristic fantasy.
Key Highlights:
Start with a Clear Purpose.
Leverage No-Code and Low-Code Platforms.
Focus on Iterative Development.
Prioritize Data Privacy.
Embrace the Power of Prompt Engineering.
Consider the Ethical Implications.
THAT’S A WRAP
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