Claude can now run a full LinkedIn audit like a $400/hr career consultant.
It reads your profile. Identifies 5 gaps. Rewrites each section.
Here are the 5 prompts:
GOODBYE CAPCUT 👋
Gemini now writes scripts and edits full videos in minutes.
No timeline dragging. No endless cuts. No running out of ideas.
Here are 7 powerful prompts to level up your video creation 👇🏽
Instead of watching an hour movie, watch this. In 14 minutes, an Anthropic engineer who wrote Building Effective Agents will teach you more about building agents right than most developers figure out on their own in months.
Harvard Business School charges $200K to teach you how to think like a strategist.
I built the same thinking system in one afternoon
Here are the 10 Claude Opus 4.6 prompts behind it:
Anthropic's applied AI team just showed how to actually prompt Claude properly.
24 minutes. free. from the people who built it.
watch the workshop. bookmark it.
you've been prompting Claude for months without the 6 elements.
I built a skill that applies them for you. read the guide below.
🚨 BREAKING: Claude AI can now rebuild your resume and LinkedIn like a $500/hour recruiter from Robert Half — for free.
Here are 12 powerful prompts that can land you interview calls in 7 days:
(Save this before everyone starts using it)
🚨 BREAKING: Claude can now build your entire resume and LinkedIn profile like a $500/hour executive recruiter from Robert Half. For free.
Here are 12 prompts that get you interview calls within 7 days:
(Save this before it disappears)
Nvidia CEO: Greatness does not come out of intelligence, it comes from character.
Character is not formed out of smart people: it is formed out of people who have suffered.
The best CEO advice I received throughout my career:
• customer service is not a department
• sales is the hardest job in any company
• customer focus > competitor focus
• trust is #1 core value
• agency (can do) > intelligence (IQ)
• adopt a beginner’s mindset - experts are lifelong learners
• tactics drive strategy - adapt faster
• always try to add value and be helpful
• own it and never point fingers
• influence > authority
• learn and use people’s names
• show up when it matters most to your customers
• earn a seat next to your customer, not across from her
• our job is to educate and inspire
• we are all in sales
• stay accessible, curious and humble
• people do business with people they trust, respect and like
• if you are waiting for a title to lead, you are not ready to lead
• the language of business is finance
• there are no IT projects, only business projects
• pay your best people the very best you can
• hire people based on their good judgment and high rate of learning
• in a celebration lead from the back, in a crisis lead from the front
• you are not a team because you work together - you are a team because you trust, respect and care for each other
• to improve the customer experience, start with the employee experience
• you are not taller by making others look smaller
• revenue growth ahead of expenses
• remove bad apples quickly
• leave your desk and spend time with customers
• culture is what happens when the managers leave the room
• tactics drive strategy
• there is nothing more important than our customers
• if you are waiting for a better title to lead, you are not ready to lead
• business is personal - you can be decisive and also be kind, graceful and empathetic
• recognize effort but reward outcomes
• your company is only as good as the company you keep
• your brand is what people say about you when you’re not in the room
• learn to speak your customer’s language
• often remind people that their work matters
• a zero sum mindset limits your growth
• your company is only as good as the company you keep
• innovation opportunities are found at the edges, not centers (how your customers serve their customers)
Here's my conversation all about AI in 2026, including technical breakthroughs, scaling laws, closed & open LLMs, programming & dev tooling (Claude Code, Cursor, etc), China vs US competition, training pipeline details (pre-, mid-, post-training), rapid evolution of LLMs, work culture, diffusion, robotics, tool use, compute (GPUs, TPUs, clusters), continual learning, long context, AGI timelines (including how stuff might go wrong), advice for beginners, education, a LOT of discussion about the future, and other topics.
It's a great honor and pleasure for me to be able to do this kind of episode with two of my favorite people in the AI community:
1. Sebastian Raschka (@rasbt)
2. Nathan Lambert (@natolambert)
They are both widely-respected machine learning researchers & engineers who also happen to be great communicators, educators, writers, and X posters.
This was a whirlwind conversation: everything from the super-technical to the super-fun.
It's here on X in full and is up everywhere else (see comment).
Timestamps:
0:00 - Introduction
1:57 - China vs US: Who wins the AI race?
10:38 - ChatGPT vs Claude vs Gemini vs Grok: Who is winning?
21:38 - Best AI for coding
28:29 - Open Source vs Closed Source LLMs
40:08 - Transformers: Evolution of LLMs since 2019
48:05 - AI Scaling Laws: Are they dead or still holding?
1:04:12 - How AI is trained: Pre-training, Mid-training, and Post-training
1:37:18 - Post-training explained: Exciting new research directions in LLMs
1:58:11 - Advice for beginners on how to get into AI development & research
2:21:03 - Work culture in AI (72+ hour weeks)
2:24:49 - Silicon Valley bubble
2:28:46 - Text diffusion models and other new research directions
2:34:28 - Tool use
2:38:44 - Continual learning
2:44:06 - Long context
2:50:21 - Robotics
2:59:31 - Timeline to AGI
3:06:47 - Will AI replace programmers?
3:25:18 - Is the dream of AGI dying?
3:32:07 - How AI will make money?
3:36:29 - Big acquisitions in 2026
3:41:01 - Future of OpenAI, Anthropic, Google DeepMind, xAI, Meta
3:53:35 - Manhattan Project for AI
4:00:10 - Future of NVIDIA, GPUs, and AI compute clusters
4:08:15 - Future of human civilization