The Core: In this tutorial, you’ll learn how to use Gemini AI to prepare for meetings — by analyzing your calendar, reviewing past emails, and researching participants to generate comprehensive briefings before every call.
Step-by-step:
- Enable Gemini’s Google Workspace in settings to connect Gmail and Calendar
- Ask: “Check my calendar for this week and show me all my meetings with participant details”
- Review history: “Search my Gmail for previous conversations with [name] and summarize our past interactions in [timeframe]”
- Get strategy: “Based on my upcoming meeting with [name], our previous chats, and current [company] context, suggest 5 questions I should prepare”
Pro Tip: After meetings, ask the AI to draft follow-up email templates based on the talking points you prepared and discussed.
Step-by-step:
- Enable Gemini’s Google Workspace in settings to connect Gmail and Calendar
- Ask: “Check my calendar for this week and show me all my meetings with participant details”
- Review history: “Search my Gmail for previous conversations with [name] and summarize our past interactions in [timeframe]”
- Get strategy: “Based on my upcoming meeting with [name], our previous chats, and current [company] context, suggest 5 questions I should prepare”
Pro Tip: After meetings, ask the AI to draft follow-up email templates based on the talking points you prepared and discussed.
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The Core:
xAI dropped Grok 4 and Grok 4 Heavy, advanced reasoning-only models claiming PhD-level mastery across subjects and setting new SOTA benchmarks on Arc-AGI, AIME, and Humanity’s Last Exam — beating Gemini 2.5 Pro and OpenAI’s o3.
Key points:
- Grok 4: Single-agent model with voice, vision, and 128K context.
- Grok 4 Heavy: Multi-agent powerhouse for complex tasks.
- Pricing: $30/mo (SuperGrok), $300/mo (Heavy plan), API access at $3M input / $15M output tokens.
- New features: 256K context API, built-in search.
- Follows backlash over Grok 3’s toxic outputs, raising scrutiny.
Why it matters:
xAI is quickly becoming a major AI contender, showing off Colossus’ power — but it’ll have to prove its maturity post-Grok 3.
xAI dropped Grok 4 and Grok 4 Heavy, advanced reasoning-only models claiming PhD-level mastery across subjects and setting new SOTA benchmarks on Arc-AGI, AIME, and Humanity’s Last Exam — beating Gemini 2.5 Pro and OpenAI’s o3.
Key points:
- Grok 4: Single-agent model with voice, vision, and 128K context.
- Grok 4 Heavy: Multi-agent powerhouse for complex tasks.
- Pricing: $30/mo (SuperGrok), $300/mo (Heavy plan), API access at $3M input / $15M output tokens.
- New features: 256K context API, built-in search.
- Follows backlash over Grok 3’s toxic outputs, raising scrutiny.
Why it matters:
xAI is quickly becoming a major AI contender, showing off Colossus’ power — but it’ll have to prove its maturity post-Grok 3.
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The Core:
OpenAI just hired four top engineers from Tesla, xAI, and Meta to boost its scaling team and work on the Stargate data center, amid a fierce AI talent war.
Details:
- Ex-Tesla VP David Lau will lead backend systems.
- Engineers Uday Ruddarraju and Mike Dalton join OpenAI after building xAI’s 200,000-GPU Colossus supercomputer.
- Ex-Meta AI researcher Angela Fan joins, as Meta has poached seven from OAI.
Why it matters:
This is OpenAI’s first counter to Meta’s hiring spree — and a direct hit to Elon Musk’s xAI and Tesla teams, escalating the rivalry.
OpenAI just hired four top engineers from Tesla, xAI, and Meta to boost its scaling team and work on the Stargate data center, amid a fierce AI talent war.
Details:
- Ex-Tesla VP David Lau will lead backend systems.
- Engineers Uday Ruddarraju and Mike Dalton join OpenAI after building xAI’s 200,000-GPU Colossus supercomputer.
- Ex-Meta AI researcher Angela Fan joins, as Meta has poached seven from OAI.
Why it matters:
This is OpenAI’s first counter to Meta’s hiring spree — and a direct hit to Elon Musk’s xAI and Tesla teams, escalating the rivalry.
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The Core:Perplexity launched Comet, an AI browser with built-in search and an agentic assistant that can book meetings, manage emails, and navigate websites.
Key Details:
- Assistant lives in a sidebar, supports voice/NL commands.
- Works with existing extensions, on Mac & Windows.
- Early access for Perplexity Max users (\$200/mo); others on waitlist.
Why it matters:
Chrome may dominate now, but Comet signals a shift toward AI-first browsing—where agents handle tasks for you.
Key Details:
- Assistant lives in a sidebar, supports voice/NL commands.
- Works with existing extensions, on Mac & Windows.
- Early access for Perplexity Max users (\$200/mo); others on waitlist.
Why it matters:
Chrome may dominate now, but Comet signals a shift toward AI-first browsing—where agents handle tasks for you.
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📰 Everything else in AI today
Get up to speed on Agentic AI – learn how to build, test, and deploy AI Agents with Postman’s Rodric Rabbah in this free, on-demand webinar.*
OpenAI is set to launch its own web browser in the “coming weeks” that will challenge Google Chrome, featuring a ChatGPT-like chat interface and agentic integrations.
OpenAI will also reportedly release its highly anticipated open-source model next week, rumored to be “similar to o3 mini” with reasoning capabilities.
Microsoft CCO Judson Althoff said the company has saved over $500M in the past year from AI’s infusion in call centers, following last week’s cut of 9,000 jobs.
AI2 introduced FlexOlmo, a new language model training paradigm that enables data owners to contribute to AI development without sharing their raw data.
Google integrated Gemini into WearOS smartwatches from Pixel, Samsung, Xiaomi and more, enabling natural voice interactions and task management on the devices.
OpenAI announced that its acquisition of Jony Ive’s firm, io, has closed, with Ive and his LoveFrom team staying independent but embedded in OpenAI’s design direction.
Get up to speed on Agentic AI – learn how to build, test, and deploy AI Agents with Postman’s Rodric Rabbah in this free, on-demand webinar.*
OpenAI is set to launch its own web browser in the “coming weeks” that will challenge Google Chrome, featuring a ChatGPT-like chat interface and agentic integrations.
OpenAI will also reportedly release its highly anticipated open-source model next week, rumored to be “similar to o3 mini” with reasoning capabilities.
Microsoft CCO Judson Althoff said the company has saved over $500M in the past year from AI’s infusion in call centers, following last week’s cut of 9,000 jobs.
AI2 introduced FlexOlmo, a new language model training paradigm that enables data owners to contribute to AI development without sharing their raw data.
Google integrated Gemini into WearOS smartwatches from Pixel, Samsung, Xiaomi and more, enabling natural voice interactions and task management on the devices.
OpenAI announced that its acquisition of Jony Ive’s firm, io, has closed, with Ive and his LoveFrom team staying independent but embedded in OpenAI’s design direction.
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🛠️ Trending AI Tools
🎬 Marey - Filmmaker-focused AI video model trained on licensed content
📽️ Veo 3 - Google’s video AI, now with first-frame image + audio output
🪪 Higgsfield Soul ID - Personalized, consistent character image generation
🤝 Coachvox - Clone an AI version of yourself to coach clients in your style
🎬 Marey - Filmmaker-focused AI video model trained on licensed content
📽️ Veo 3 - Google’s video AI, now with first-frame image + audio output
🪪 Higgsfield Soul ID - Personalized, consistent character image generation
🤝 Coachvox - Clone an AI version of yourself to coach clients in your style
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Debugging with AI: My Simple Strategy
1). Ask for hypotheses, not just fixes
Instead of “Fix this,” I ask, “What could be causing this, and how would you solve it?” This reveals the model’s reasoning and avoids unnecessary code.
2). Focus on the why
“What’s causing this error?” gives clearer, more helpful answers than “What’s the fix?”
3). Always include logs
Full tracebacks, errors, or test outputs give the model real data to work with.
4). Say what you’ve already tried
Helps the model avoid dead ends and repeat suggestions.
5). Iterate with better context
Update the prompt with each step. If stuck, switch models but keep the full context — one might catch what the other missed.
1). Ask for hypotheses, not just fixes
Instead of “Fix this,” I ask, “What could be causing this, and how would you solve it?” This reveals the model’s reasoning and avoids unnecessary code.
2). Focus on the why
“What’s causing this error?” gives clearer, more helpful answers than “What’s the fix?”
3). Always include logs
Full tracebacks, errors, or test outputs give the model real data to work with.
4). Say what you’ve already tried
Helps the model avoid dead ends and repeat suggestions.
5). Iterate with better context
Update the prompt with each step. If stuck, switch models but keep the full context — one might catch what the other missed.
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The Core: In this tutorial, you will learn how to use Google's Gemini CLI to analyze your images and generate SEO-friendly filenames automatically, improving your content organization and search engine visibility.
Step-by-step:
Install Gemini CLI: npm install -g @google/gemini-cli and authenticate with your Google account
Test a single image analysis typing: gemini "Describe what's in [image1.png]"
Batch process: gemini “Process all images in this folder. For each image, analyze the content and rename it with a denoscriptive filename with relevant keywords for SEO purposes.”
Pro tip: Start with a small batch to understand how Gemini interprets your content, then scale up to your entire image library.
Step-by-step:
Install Gemini CLI: npm install -g @google/gemini-cli and authenticate with your Google account
Test a single image analysis typing: gemini "Describe what's in [image1.png]"
Batch process: gemini “Process all images in this folder. For each image, analyze the content and rename it with a denoscriptive filename with relevant keywords for SEO purposes.”
Pro tip: Start with a small batch to understand how Gemini interprets your content, then scale up to your entire image library.
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The Core:
Details:
Why it matters: This curbs the flood of junk videos, protecting the platform's value and real creativity.
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The Core: Google has updated its MedGemma suite with two new open-source medical AI models: a 27 billion parameter multimodal model that handles medical images and patient records, and MedSigLIP for analyzing images and text together.
Details:
Why it matters: This advance brings high-quality AI medical analysis to portable devices, lowering barriers for global healthcare innovation. It helps underserved patients and small clinics access advanced diagnostic tools easily.
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Amazon secured AI licensing deals with publishers Conde Nast and Hearst, enabling use of the content in the tech giant’s Rufus AI shopping assistant.
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The Core: In this tutorial, you will learn how to use Context7 MCP Server to eliminate AI hallucinations by delivering real-time API documentation and code examples directly to your coding tools like Windsurf and Cursor.
Step-by-step:
Start prompting with “use context7 for up-to-date API info” to get current documentation from 25,000+ libraries
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Grok4 checks elon musk opinion before answering anything
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xAI's Grok AI assistant is landing on Tesla cars, with built-in integration in new models and software updates for older ones
The AI helper was recently updated with Grok 4, xAI's SOTA reasoning model, taking on OpenAI's o3 and Claude Opus 4
The AI helper was recently updated with Grok 4, xAI's SOTA reasoning model, taking on OpenAI's o3 and Claude Opus 4
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