Kandinsky 5.0 Video Lite and Kandinsky 5.0 Video Pro generative models on the global text-to-video landscape
🔘Pro is currently the #1 open-source model worldwide
🔘Lite (2B parameters) outperforms Sora v1.
🔘Only Google (Veo 3.1, Veo 3), OpenAI (Sora 2), Alibaba (Wan 2.5), and KlingAI (Kling 2.5, 2.6) outperform Pro — these are objectively the strongest video generation models in production today. We are on par with Luma AI (Ray 3) and MiniMax (Hailuo 2.3): the maximum ELO gap is 3 points, with a 95% CI of ±21.
Useful links
🔘Full leaderboard: LM Arena
🔘Kandinsky 5.0 details: technical report
🔘Open-source Kandinsky 5.0: GitHub and Hugging Face
🔘Pro is currently the #1 open-source model worldwide
🔘Lite (2B parameters) outperforms Sora v1.
🔘Only Google (Veo 3.1, Veo 3), OpenAI (Sora 2), Alibaba (Wan 2.5), and KlingAI (Kling 2.5, 2.6) outperform Pro — these are objectively the strongest video generation models in production today. We are on par with Luma AI (Ray 3) and MiniMax (Hailuo 2.3): the maximum ELO gap is 3 points, with a 95% CI of ±21.
Useful links
🔘Full leaderboard: LM Arena
🔘Kandinsky 5.0 details: technical report
🔘Open-source Kandinsky 5.0: GitHub and Hugging Face
❤2👍2
PAID vs FREE AI TOOLS IN 2026
📱 Research
1. Paid: ChatGPT.com
2. Free: Scispace.com
🖼 Image Generation
1. Paid: Ideogram.ai
2. Free: Mage.Space
💧 Watermark Remover
1. Paid: Fotor.com
2. Free: Cleanup.pictures
📈 Presentation Maker
1. Paid: Beautiful.ai
2. Free: SlidesAI.io
🎞 Video Generator
1. Paid: Synthesia.io
2. Free: Veed.io
📝 Writing
1. Paid: Quillbot.com
2. Free: Scribbr.com
👩🎨 Design
1. Paid: Canva.com
2. Free: Designer.microsoft.com
📱 Research
1. Paid: ChatGPT.com
2. Free: Scispace.com
🖼 Image Generation
1. Paid: Ideogram.ai
2. Free: Mage.Space
💧 Watermark Remover
1. Paid: Fotor.com
2. Free: Cleanup.pictures
📈 Presentation Maker
1. Paid: Beautiful.ai
2. Free: SlidesAI.io
🎞 Video Generator
1. Paid: Synthesia.io
2. Free: Veed.io
📝 Writing
1. Paid: Quillbot.com
2. Free: Scribbr.com
👩🎨 Design
1. Paid: Canva.com
2. Free: Designer.microsoft.com
❤18
Coding is tricky. Coding in interviews feels even harder. It’s intimidating, uncertain and hard to prepare. Here are 4 ways to do it!
1. Interview Cake: I think it is some of the best prep available and it is targeted toward weaknesses many data scientists have in algorithms and data structures: https://www.interviewcake.com/
2. Leetcode: While developed for software engineering interviews, it has a LOT of useful content for learning algorithms. For data science, I'd suggest focusing on Easy/Medium: https://leetcode.com/
3. Cracking the Coding Interview: Amazing book, sometimes referred to as CTCI. A classic and one you should have: https://cin.ufpe.br/~fbma/Crack/Cracking%20the%20Coding%20Interview%20189%20Programming%20Questions%20and%20Solutions.pdf
4. Daily Coding Problem: The book and the website are awesome. Work on a daily problem. This was my go to resource for when I was looking to stay sharp: https://www.dailycodingproblem.com/
1. Interview Cake: I think it is some of the best prep available and it is targeted toward weaknesses many data scientists have in algorithms and data structures: https://www.interviewcake.com/
2. Leetcode: While developed for software engineering interviews, it has a LOT of useful content for learning algorithms. For data science, I'd suggest focusing on Easy/Medium: https://leetcode.com/
3. Cracking the Coding Interview: Amazing book, sometimes referred to as CTCI. A classic and one you should have: https://cin.ufpe.br/~fbma/Crack/Cracking%20the%20Coding%20Interview%20189%20Programming%20Questions%20and%20Solutions.pdf
4. Daily Coding Problem: The book and the website are awesome. Work on a daily problem. This was my go to resource for when I was looking to stay sharp: https://www.dailycodingproblem.com/
❤9
⚡️ All cheat sheets for programmers in one place.
There's a lot of useful stuff inside: short, clear tips on languages, technologies, and frameworks.
No registration required and it's free.
https://overapi.com/
There's a lot of useful stuff inside: short, clear tips on languages, technologies, and frameworks.
No registration required and it's free.
https://overapi.com/
❤5
20 Frontend Project Ideas🔥👨🏻💻
🔹Portfolio Website
🔹Responsive Blog Page
🔹Recipe Finder
🔹Weather Dashboard
🔹E-commerce Product Page
🔹Music Player
🔹Task Management App UI
🔹Interactive To-Do List
🔹Personal Finance Tracker
🔹Movie/TV Show Finder
🔹Social Media Dashboard UI
🔹Landing Page for a Product
🔹Photo Gallery
🔹Quiz App
🔹Travel Booking UI
🔹Markdown Editor
🔹Fitness Tracker Dashboard
🔹Real-time Chat UI
🔹Restaurant Menu Page
🔹Online Quiz Generator
Do not forget to React ❤️ to this Message for More Content Like this
#techinfo
🔹Portfolio Website
🔹Responsive Blog Page
🔹Recipe Finder
🔹Weather Dashboard
🔹E-commerce Product Page
🔹Music Player
🔹Task Management App UI
🔹Interactive To-Do List
🔹Personal Finance Tracker
🔹Movie/TV Show Finder
🔹Social Media Dashboard UI
🔹Landing Page for a Product
🔹Photo Gallery
🔹Quiz App
🔹Travel Booking UI
🔹Markdown Editor
🔹Fitness Tracker Dashboard
🔹Real-time Chat UI
🔹Restaurant Menu Page
🔹Online Quiz Generator
Do not forget to React ❤️ to this Message for More Content Like this
#techinfo
❤11
✅ Data Analyst Resume Tips 🧾📊
Your resume should showcase skills + results + tools. Here’s what to focus on:
1️⃣ Clear Career Summary
• 2–3 lines about who you are
• Mention tools (Excel, SQL, Power BI, Python)
• Example: “Data analyst with 2 years’ experience in Excel, SQL, and Power BI. Specializes in sales insights and automation.”
2️⃣ Skills Section
• Technical: SQL, Excel, Power BI, Python, Tableau
• Data: Cleaning, visualization, dashboards, insights
• Soft: Problem-solving, communication, attention to detail
3️⃣ Projects or Experience
• Real or personal projects
• Use the STAR format: Situation → Task → Action → Result
• Show impact: “Created dashboard that reduced reporting time by 40%.”
4️⃣ Tools and Certifications
• Mention Udemy/Google/Coursera certificates (optional)
• Highlight tools used in each project
5️⃣ Education
• Degree (if relevant)
• Online courses with completion date
🧠 Tips:
• Keep it 1 page if you’re a fresher
• Use action verbs: Analyzed, Automated, Built, Designed
• Use numbers to show results: +%, time saved, etc.
📌 Practice Task:
Write one resume bullet like:
“Analyzed customer data using SQL and Power BI to find trends that increased sales by 12%.”
Double Tap ♥️ For More
Your resume should showcase skills + results + tools. Here’s what to focus on:
1️⃣ Clear Career Summary
• 2–3 lines about who you are
• Mention tools (Excel, SQL, Power BI, Python)
• Example: “Data analyst with 2 years’ experience in Excel, SQL, and Power BI. Specializes in sales insights and automation.”
2️⃣ Skills Section
• Technical: SQL, Excel, Power BI, Python, Tableau
• Data: Cleaning, visualization, dashboards, insights
• Soft: Problem-solving, communication, attention to detail
3️⃣ Projects or Experience
• Real or personal projects
• Use the STAR format: Situation → Task → Action → Result
• Show impact: “Created dashboard that reduced reporting time by 40%.”
4️⃣ Tools and Certifications
• Mention Udemy/Google/Coursera certificates (optional)
• Highlight tools used in each project
5️⃣ Education
• Degree (if relevant)
• Online courses with completion date
🧠 Tips:
• Keep it 1 page if you’re a fresher
• Use action verbs: Analyzed, Automated, Built, Designed
• Use numbers to show results: +%, time saved, etc.
📌 Practice Task:
Write one resume bullet like:
“Analyzed customer data using SQL and Power BI to find trends that increased sales by 12%.”
Double Tap ♥️ For More
❤8
This Week in AI - Major Global Developments 🚀🧠📈
Foundation Models & Big AI Platforms
* Anthropic’s Claude reportedly crossed 11 million daily active users, narrowing the usage gap with OpenAI’s ChatGPT and signaling stronger enterprise + developer adoption.
* OpenAI is reported to have launched GPT-5.4 Mini and Nano, pushing smaller high-efficiency models for lower-cost deployment and edge inference.
* Mistral AI announced Mistral Forge, a new platform aimed at enterprise model deployment and customization.
* MiniMax introduced M2.7, a model designed to self-improve and reportedly reduce 30–50% of reinforcement learning workflow overhead.
* Meta Platforms delayed launch of its upcoming model Avocado due to internal performance concerns.
* Midjourney released an early version of V8, signaling another jump in image realism and prompt adherence.
NVIDIA Dominates the Week
* NVIDIA introduced NeMo + Claw Stack, strengthening its AI infrastructure ecosystem for agent development and enterprise deployment.
* At NVIDIA GTC, NVIDIA made multiple major announcements:
* 1) DLSS 5
* 2) Vera Rubin, a next-generation seven-chip AI platform
* 3) Long-term concept of space-based data center infrastructure
* 4) NVIDIA also continues expanding beyond chips into full-stack AI platforms, reinforcing its dominance in compute infrastructure.
Apple, China & Hardware Signals
* Apple Inc.’s Mac mini reportedly saw major stock pressure in China, partly linked to demand from local AI developers experimenting with open model stacks.
* China issued a second warning regarding risks associated with OpenClaw-style open agent systems, showing growing regulatory concern over autonomous AI tools.
* Apple also acquired MotionVFX, indicating stronger movement toward AI-assisted video creation workflows.
AI Agents: Rapid Acceleration
* A security incident showed an AI agent breaching a major consulting firm's internal AI environment in roughly two hours, raising fresh questions on enterprise agent security.
* Developers demonstrated a full AI office agent environment built using OpenClaw, showing autonomous task execution across office workflows.
* OpenAI launched Parameter Golf, a concept focused on maximizing output quality with smaller model parameter efficiency.
* Reports suggest ChatGPT may eventually adopt usage-based pricing tiers depending on intensity and type of usage.
AI Video War Intensifies
* Runway demonstrated real-time video generation, a major leap toward live AI media creation.
* ByteDance paused global rollout of Seedance 2.0, possibly due to strategic recalibration.
Research, Science & Emerging Tech
* Scientists announced what is being described as the world’s first quantum battery breakthrough, potentially significant for future energy systems.
* Researchers found that half of AI-generated code passing industrial benchmarks would still be rejected by human developers, highlighting reliability gaps.
* A new study suggests AI chatbots may worsen mental health issues in vulnerable users if not carefully deployed.
* AI companies are reportedly hiring actors to improve emotional realism in model responses.
* Indian researchers developed a system that converts inaudible murmurs into understandable speech, which could transform accessibility technology.
Strategic Industry Moves
* Anthropic launched the Anthropic Institute, likely aimed at long-term AI governance and safety research.
* OpenAI and Anthropic reportedly began hiring chemical and weapons domain experts, indicating deeper work on safety evaluation.
* xAI hired senior leadership from Cursor’s ecosystem.
* Meta Platforms announced four MTIA chip generations planned within two years, signaling aggressive AI silicon ambitions.
* Indian Space Research Organisation’s NavIC reportedly experienced service disruption, raising strategic navigation concerns.
* India continues to produce strong applied AI innovation, especially in speech and embedded AI systems.
Foundation Models & Big AI Platforms
* Anthropic’s Claude reportedly crossed 11 million daily active users, narrowing the usage gap with OpenAI’s ChatGPT and signaling stronger enterprise + developer adoption.
* OpenAI is reported to have launched GPT-5.4 Mini and Nano, pushing smaller high-efficiency models for lower-cost deployment and edge inference.
* Mistral AI announced Mistral Forge, a new platform aimed at enterprise model deployment and customization.
* MiniMax introduced M2.7, a model designed to self-improve and reportedly reduce 30–50% of reinforcement learning workflow overhead.
* Meta Platforms delayed launch of its upcoming model Avocado due to internal performance concerns.
* Midjourney released an early version of V8, signaling another jump in image realism and prompt adherence.
NVIDIA Dominates the Week
* NVIDIA introduced NeMo + Claw Stack, strengthening its AI infrastructure ecosystem for agent development and enterprise deployment.
* At NVIDIA GTC, NVIDIA made multiple major announcements:
* 1) DLSS 5
* 2) Vera Rubin, a next-generation seven-chip AI platform
* 3) Long-term concept of space-based data center infrastructure
* 4) NVIDIA also continues expanding beyond chips into full-stack AI platforms, reinforcing its dominance in compute infrastructure.
Apple, China & Hardware Signals
* Apple Inc.’s Mac mini reportedly saw major stock pressure in China, partly linked to demand from local AI developers experimenting with open model stacks.
* China issued a second warning regarding risks associated with OpenClaw-style open agent systems, showing growing regulatory concern over autonomous AI tools.
* Apple also acquired MotionVFX, indicating stronger movement toward AI-assisted video creation workflows.
AI Agents: Rapid Acceleration
* A security incident showed an AI agent breaching a major consulting firm's internal AI environment in roughly two hours, raising fresh questions on enterprise agent security.
* Developers demonstrated a full AI office agent environment built using OpenClaw, showing autonomous task execution across office workflows.
* OpenAI launched Parameter Golf, a concept focused on maximizing output quality with smaller model parameter efficiency.
* Reports suggest ChatGPT may eventually adopt usage-based pricing tiers depending on intensity and type of usage.
AI Video War Intensifies
* Runway demonstrated real-time video generation, a major leap toward live AI media creation.
* ByteDance paused global rollout of Seedance 2.0, possibly due to strategic recalibration.
Research, Science & Emerging Tech
* Scientists announced what is being described as the world’s first quantum battery breakthrough, potentially significant for future energy systems.
* Researchers found that half of AI-generated code passing industrial benchmarks would still be rejected by human developers, highlighting reliability gaps.
* A new study suggests AI chatbots may worsen mental health issues in vulnerable users if not carefully deployed.
* AI companies are reportedly hiring actors to improve emotional realism in model responses.
* Indian researchers developed a system that converts inaudible murmurs into understandable speech, which could transform accessibility technology.
Strategic Industry Moves
* Anthropic launched the Anthropic Institute, likely aimed at long-term AI governance and safety research.
* OpenAI and Anthropic reportedly began hiring chemical and weapons domain experts, indicating deeper work on safety evaluation.
* xAI hired senior leadership from Cursor’s ecosystem.
* Meta Platforms announced four MTIA chip generations planned within two years, signaling aggressive AI silicon ambitions.
* Indian Space Research Organisation’s NavIC reportedly experienced service disruption, raising strategic navigation concerns.
* India continues to produce strong applied AI innovation, especially in speech and embedded AI systems.
❤9👍1
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