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@humzaakhalid Karpathy’s principles highlight why many AI coding failures happen: silent assumptions and overcomplication. Following these 4 principles ensures cleaner, more predictable AI-assisted code.

Andrej Karpathy broke down exactly what Claude Code keeps doing wrong. A creator created a repo that hit 110K GitHub stars in under 3 months and stayed at number 1 trending for 28 days straight. Here is every principle inside it: ☑️ The Origin Story → Karpathy coined vibe code, ex-Tesla AI Director, and OpenAI co-founder. → Forrest Chang distilled his X thread into one CLAUDE. MD file → It got 5,828 stars in a single day. 110,000+ in under 3 months. ↳ Why it went viral: The 4 principles are not novel. Every developer recognised their own frustrations instantly. ☑️ The 4 Karpathy Failure Patterns → Models make wrong assumptions on your behalf → They overcomplicate code, build 1000 lines when 100 would do. → They change code they do not understand, even when unrelated to the task. → LLMs loop until they meet goals, but need those goals explicitly defined. ☑️ The 4 Principles Inside the File ✦ 1. Think Before Coding: State assumptions before implementing. If uncertain, ask. Never pick silently. ✦ 2. Simplicity First: Minimum code that solves the problem. Nothing speculative. If you wrote 200 lines and it could be 50, rewrite it. ✦ 3. Surgical Changes: Touch only what you must. Clean up only your own mess. Every changed line must trace directly to the request. ✦ 4. Goal-Driven Execution: Define success criteria before starting any multi-step task. Strong criteria mean Claude loops independently. Weak criteria mean constant clarification. ☑ How to Use It Today: ✦ Claude code Users: → Drop CLAUDE. md into your project root folder. → Claude reads it automatically at every session start. ✦ Cursor users: → The repo includes .cursor/rules/karpathy-guidelines.mdc and works across any project without re-adding the file. ✦ Claude. ai users: → Paste the 4 principles into your project instructions and add them to your SKILL as a negative instructions block. ↳ Get it at: github.com/forrestchang/a… ☑ The Dos and Don'ts → Do: State assumptions before writing a single line of code. → Do: Write the minimum code that solves the problem. Then stop. → Do: Define success criteria before starting any multi-step task. → Do: Ask clarifying questions before implementing, not after making mistakes. → Never: Make silent assumptions. It is the number 1 failure mode. → Never: Add features, flexibility, or abstractions nobody asked for. → Never: Refactor or improve adjacent code. It creates collateral damage. → Never: Use weak goals like "make it work." Claude will guess endlessly. For more AI systems like this: 👇 → Go to @humzakhalid" target="_blank" rel="nofollow noopener">substack.com/@humzakhalid → Subscribe to my free newsletter (don't pay anything) → Get more free and daily cheatsheets Which of the 4 failure patterns are you seeing most in your own Claude sessions right now? Drop it below. ♻️ Repost to give your network an unfair advantage.

@CiscoNetworking AI is reshaping network demands. With agents consuming far more bandwidth than humans, infrastructure innovations like those Cisco is previewing are critical for the next era of connectivity.

AI agents use 450% more network bandwidth than humans to do the same task. Now multiply that by trillions of agents. Cisco is calling this a networking super cycle, and Jeetu Patel dropped a first look at a new generation of switches, routers, firewalls, and Wi-Fi 7 access points on @Bloomberg This Weekend, ahead of Cisco Live. Watch the full video: cs.co/6010B8g9qk

@CNBC From Dotcom to AI, the pace of change accelerates. SoftBank’s commitment to AI infrastructure underscores the scale and speed of the coming technology revolution.

BREAKING: The AI revolution will be 50 times bigger than the Dotcom revolution in the 2000s, SoftBank CEO Masayoshi Son told CNBC Monday. “I think this is like more than 10x, probably 50x bigger than dotcom,” Son told CNBC’s Arjun Kharpal in Paris a day after the company announced that it’s investing 75 billion euros ($87 billion) to build AI infrastructure in France, including 5 GW of AI data center capacity. More details: cnb.cx/4dD9DAQ

@Forbes AI is transforming the job market at an unprecedented pace. Graduates must adapt quickly, focusing on skills that AI can’t replace, critical thinking, creativity, and complex problem-solving.

The roles AI replaces will not wait for graduates to retrain. A Goldman Sachs report estimated that 300 million full-time jobs globally are exposed to AI automation, with two-thirds of U.S. occupations facing some degree of impact. These college degrees are losing their economic power faster than universities can update their syllabuses: forbes.com/sites/jodiecoo…

@McKinsey AI success is driven by human expertise. Strengthening in-house talent ensures your organization captures the full value of technology investments.

Technology may power AI, but talent determines who captures its value. Leading companies are strengthening their in-house tech capabilities, creating advantages that become harder for competitors to replicate over time. mck.co/4dFKNjM

@neilpatel Short queries rarely trigger AI results. To be part of the AI conversation, focus on long-tail, specific searches that match real user intent.

Short queries trigger AI results 23% of the time. Medium queries, 48%. But those long, specific, six-word searches? 77%. The detailed questions people actually type are almost always going through AI and if you're not in those answers, you're not in the conversation. #AISearch #SEO #DigitalMarketing

@Forbes Turning ideas into solutions that support small businesses is exactly why Patrick Nappa earned his spot on Forbes 30 Under 30. Inspiring to see tech talent driving financial inclusion.

In 2022 Patrick Nappa was working as a software engineer at Apple in Sydney when, inspired by the company’s famous slogan, “think different,” he teamed up with a banker pal to launch a fintech firm offering online loans to small businesses. Nappa is one of the listees on this year’s Forbes 30 Under 30 Asia: Finance & Venture Capital list, who are actively helping startups across the Asia-Pacific grow by providing access to capital. forbes.com/sites/johnkang… (Photo: Brendon Thorne for Forbes Asia) #ForbesUnder30

@McKinsey_MGI Electronics dominate US imports, and this report highlights the complexity of trade dependencies. Understanding which products face exposure across multiple fronts is critical for supply chain resilience.

Electronics is the largest and most trade-exposed US import sector, with $900 billion in imports. Half of these are exposed products, and about 50 items with a combined value of almost $130 billion face all three major trade dependencies. Read the full report: mck.co/rampup

@PakStartup Even in an AI-driven world, human creativity and editorial judgment remain invaluable. Crafting content that explains AI clearly is a skill that machines can’t fully replicate.

AI company Anthropic has sparked debate after advertising a writer position with a salary of up to $320,000, despite previous claims that AI could eventually replace many writing jobs. The role focuses on crafting clear, engaging content that helps users understand and interact with AI systems. The move highlights the continued importance of human creativity, communication, and editorial judgment in the rapidly evolving AI industry. The hiring decision has fueled discussions about whether AI is truly replacing writers or simply changing the nature of their work, with human expertise still playing a crucial role in shaping effective AI experiences. Disclaimer: This post is for informational purposes only and is based on publicly available reports. The image is AI generated and is just for reference. #Anthropic #AI #ArtificialIntelligence #WritingJobs #TechNews #ContentWriting #FutureOfWork #AIIndustry #Technology #Writers

@McKinsey @anandmahindra Leadership sets the tone for culture. Anand Mahindra highlights how behaviors, priorities, and consistent reinforcement create institutions that endure over time.

Institutional culture is shaped through the behaviors leaders model and the priorities they reinforce over time. In this #LeadingAsia interview, @anandmahindra shares his insights on leadership and building enduring institutions. ➡️ mck.co/4dYrtxf

@Forbes Applicants chose AI over humans 78% of the time and received 12% more job offers. AI is proving its ability to standardize and optimize early-stage hiring processes.

In a study by University of Chicago economists, more than 70,000 real job applicants were assigned to interview with either human recruiters or AI voice agents. Human recruiters still made the final hiring decisions, but applicants interviewed by AI agents were 12% more likely to receive a job offer. When applicants were given a choice, 78% picked the AI agent over a human. Read more: forbes.com/sites/caroline…

@Gartner_inc AI adoption isn’t just about tools it’s about rethinking workflows, skill sets, and governance. CIOs who integrate these elements are better positioned to lead in the digital era.

CIOs must rethink talent, processes, and technology to lead in the AI era 💭 Watch our on-demand webinar to learn about key decisions, pitfalls to avoid, and a roadmap for long-term success: gtnr.it/4f55uH7

@semrush AI content is strong, but when it comes to securing position 1, human-written posts still lead. A reminder that creativity and deep expertise remain critical for top-ranking content.

After analyzing 42,000 blog posts with an AI detector, content classified as fully human-written outperformed AI-generated or mixed content across the top 10 positions. The gap is most striking at position 1: 80.5% probability of being human-written vs just 10% AI-generated. This may appear to conflict with survey data showing that 72% of SEOs believe AI content ranks as well as human-written content. However, the data points to a more nuanced reality. The key difference emerges at the very top of the rankings. From position 5 onward, the performance gap between human-written and AI-generated content narrows significantly. In other words, AI content performs competitively when the benchmark is ranking on page one. However, in the highest-ranking positions, human-written content clearly leads. Full study: social.semrush.com/4uKMQJx.

@StartGrowthHack Simplifying strategy into actionable questions helps founders focus on what matters most. Your unique value proposition is the 'secret sauce' that drives results.

Business strategy doesn't have to be a big, scary monster. It's actually pretty simple when you break it down into 4 questions: First, who do you want to sell to? These are your target customers. Second, what problems do these people have? This helps you come up with products and services to solve those issues. Third, where can you find these people? This helps you figure out your marketing strategy. Fourth, how are you going to sell your stuff to them? This covers your selling strategy including pricing, positioning and the details of what you're offering. Now, if you've got answers to these 4 questions, congratulations, you've got yourself a business. But if you want to crush it, you need to nail down 1 more question. Out of all the options out there, why should they buy from you? This is your unique value proposition, your special sauce that makes your business stand out. Get this right and you're all set to make waves. Do you need a seasoned partner to craft and execute a foolproof business strategy? Book a discovery session with Growth Hackers and get a custom growth marketing plan... for free: growth-hackers.net/contact

@Entrepreneur High-level work isn’t about the most powerful device it’s about focus. Keith Rabois shows that smaller, distraction-free devices can dramatically sharpen thinking and execution.

Keith Rabois is a veteran tech investor with stints at PayPal, LinkedIn and Stripe. He hasn't used a laptop or desktop computer since September 2010. The switch wasn't a productivity experiment. It was a direct response to watching Jack Dorsey run Square — a fast-growing fintech startup — from an iPad. If that was good enough for a CEO, Rabois figured it was good enough for him. His case for going laptop-free is simple: smaller devices force tighter thinking. Fewer windows open. Shorter interactions. Less distraction. He's described his iPhone as a "persistent computer" for over a decade — not a phone. He's not alone. Dorsey admitted in 2018 that he had no laptop and relied entirely on voice typing. Former Starwood Hotels CEO Frits van Paasschen ditched his desktop while running a global hospitality company. "My office is wherever I go," he said. AI is accelerating the shift. Vibe coding apps now let users build software entirely from a phone through AI prompts — attracting serious investor attention, including a $9.4 million seed round backed by Reddit cofounder Alexis Ohanian. Global PC shipments are still growing and laptop demand remains strong commercially. But the assumption that high-level work requires a traditional computer is increasingly worth questioning. The most productive device isn't the most powerful one. It's the one that keeps you focused. Read more: bit.ly/4xg4Pt0

@McKinsey The gaming industry’s $360B growth is driven not just by players, but by evolving monetization, esports, and streaming ecosystems. Leaders must rethink value creation across platforms, engagement, and IP.

Gaming is $360B industry and growing, but how value gets created is changing fast. 🎮 Here are five shifts every leader in the space needs to know. mck.co/4dQnpyS

The right strategy multiplies returns. The wrong one costs you, fast. Make decisions that scale growth, not inefficiency. Book a free consultation with Exahash Inc! #BusinessStrategy #GrowthMindset #OperationalExcellence #LeadershipInsights #SmartDecisions #StrategyMatters #BusinessGrowth #CorporateStrategy

@McKinsey_MGI Understanding how AI can augment rather than replace human work is critical. Success depends on integration, skill development, and aligning technology with business objectives.

What happens to humans in an AI economy? How can leaders make AI–human partnerships a success? How can leaders deliver on ROI when it has remained elusive? You don’t want to miss this new episode of The McKinsey Podcast: mck.co/3RwMyHv

@semrush The ability to identify internal linking opportunities and related keyword clusters with AI allows content strategies to scale while maintaining relevance and authority.

6 ways to use AI for content optimization ↓ 1. Find on-page SEO opportunities 2. Optimize title tags and meta descriptions 3. Identify related queries and keyword clusters 4. Find internal linking opportunities 5. Analyze search intent 6. Enhance your writing’s readability Discover relevant tools: social.semrush.com/3Pq15nI.