ProAIHacks

You put it better than I did — 'deciding what actually deserves to be built' is the sharpest version of the argument. But, product judgment itself is about to get pressure tested. Right now, PMs win because they understand the problem better than engineers can articulate. But as AI gets better at surfacing user patterns, synthesising research, and stress-testing assumptions — the gap between a sharp PM and an average one compresses too. The real moat might not be any specific skill. It's the speed at which someone can learn what the problem actually is — and change their mind when they're wrong.

There’s definitely some truth in that. As AI lowers the barrier to writing code, the real leverage shifts toward problem understanding, product judgment, and deciding what actually deserves to be built. Coding is still important, but knowing the user problem and shaping the right solution is becoming the bigger differentiator.

The most dangerous assumption in tech right now: That coding skill is the moat. GitHub Copilot. Cursor. Claude Code. A product manager who understands the problem deeply is now shipping faster than a developer who understands the syntax perfectly. The bottleneck was never writing code. It was knowing what to build. That advantage just switched sides. Coders — do you agree or are we overstating this?

@AIatMeta Meta is using AI to build the hardware that runs AI. The infrastructure is starting to design itself.

Custom silicon is critical to scaling next-gen AI. We’re detailing the evolution of the Meta Training and Inference Accelerator (MTIA), our homegrown silicon family designed to power the next era of AI experiences. Traditional chip cycles span years, but model architectures change in months. To close this gap, we’ve accelerated MTIA development to release four generations in just two years. See our roadmap and tech specs here: go.meta.me/16336d

@JonhernandezIA Millions of people who were structurally locked out of creation are about to get a key. That's the largest expansion of human creative potential in recorded history.

📁 Cathie Wood, CEO of ARK Invest, says AI is removing a historic barrier. For decades building a company required capital, teams and specialists. Now one person with AI can build products, software and businesses. The real disruption is not job loss. It is that millions of people will be able to create.

900 million weekly users. $5B annual loss. Video costs 10-50x more than text. OpenAI just made a decision that makes the financial picture significantly worse in the short term. And it's probably the right call. 1B users might give them the leverage in every negotiation with their stakeholders.

OpenAI is planning to integrate its Sora video generator directly into ChatGPT to streamline how you create visual content. The Information and Reuters Sora originally launched as a separate app in September-25 and focuses on generating high-fidelity video from text prompts. By adding this to ChatGPT, you can use natural language to iterate on video scenes rather than relying on complex standalone tools. Even with this update, the company will keep the standalone Sora app running for users who want a dedicated social-sharing experience. --- reuters .com/business/openai-plans-launch-its-sora-video-tool-chatgpt-information-reports-2026-03-11/

900 million weekly users. $5B annual loss. Video costs 10-50x more than text. OpenAI just made a decision that makes the financial picture significantly worse in the short term. And it's probably the right call. 1B users might give them the leverage in every negotiation with their stakeholders.

OpenAI is bringing Sora directly into ChatGPT. On the one hand, this might finally push the weekly users above the 1b mark. On the other hand, it would come at exorbitant inference costs. The company has projected spending over $225 billion on inference costs between now and 2030, and video generation is significantly more resource-intensive than text or images.

Right now the most important decisions about AI are being made in boardrooms, research labs and government corridors that most people will never enter. The people most affected by those decisions - workers, students, citizens - have almost no voice in them. Will the Institute solve it?

Anthropic just launched an institute. they’re mass hiring to study the unemployment their own models will cause and prepare society for AI’s (claude) economic disruption. this is like cigarette companies funding lung cancer research while making cigarettes 😭

@rohanpaul_ai The programmer is not writing code anymore. He's writing the criteria by which code gets judged. That's a completely different skill. The bottleneck in software just moved from execution to evaluation.

Eric Schmidt, Ex CEO of Google, talked about a programmer who has an AI agent working the night shift He writes specs and evaluation functions, then runs a generator from 7 PM to 4 AM. He wakes up to find new UIs "invented" overnight

Right now the most important decisions about AI are being made in boardrooms, research labs and government corridors that most people will never enter. The people most affected by those decisions - workers, students, citizens - have almost no voice in them. Will the Institute solve it?

Introducing The Anthropic Institute, a new effort to advance the public conversation about powerful AI. anthropic.com/news/the-anthr…

@TukiFromKL AI drains moats built on knowledge. It deepens moats built on judgment.

🚨 Naval just said in 8 words what most CEOs won't admit in an hour-long board meeting. "AI is going to drain a lot of moats." Let me tell you what moats are actually dying right now. Your coding team was a moat. One kid with Claude ships faster than your 12-person engineering squad. Your data advantage was a moat. Every AI model just got access to the entire internet. Your brand was a moat. Until a faceless account with better content started outranking you in 3 months. Your network was a moat. Until AI agents started doing outreach, sales, and partnerships while you slept. Your degree a moat. Until the dropout with the right prompts started outperforming the Harvard grad with the wrong workflow. The only moat left is speed. How fast you learn. How fast you adapt. How fast you let go of the thing that got you here. Everything else? AI just drained it while you were reading this post.

@naval AI drains moats built on knowledge. It deepens moats built on judgment.

AI is going to drain a lot of moats.

@ChatGPTapp There begins the downfall of EdTech companies?

140 million people use ChatGPT to help them understand math and science concepts every week.

@AravSrinivas The speed of the ecosystem building around Computer is the real story - not the app itself. Most platforms take years to get this kind of community-built output.

Another cool app built with Perplexity Computer. A peer to peer file(s) transfer web app. Sends files directly with no accounts using WebRTC and DTLS encryption, file chunking, socket io signaling. I am impressed by how many libraries and tools Computer can orchestrate reliably.

The apps that win aren't the ones with the best model. They're the ones that changed user behaviour fastest. NotebookLM changed how people research. Claude changed how professionals think. Sora changed what one person can create alone. The model is the engine. Behaviour change is the product. Most companies are still optimising the engine and wondering why nobody's driving anywhere. The endgame isn't a better tool. It's a tool that becomes impossible to leave because it knows you better than you remember yourself.

"The model is the engine. Behaviour change is the product. Most companies are still optimising the engine." Full thought in the replies 👇

The apps that win aren't the ones with the best model. They're the ones that changed user behaviour fastest. NotebookLM changed how people research. Claude changed how professionals think. Sora changed what one person can create alone. The model is the engine. Behaviour change is the product. Most companies are still optimising the engine and wondering why nobody's driving anywhere. The endgame isn't a better tool. It's a tool that becomes impossible to leave because it knows you better than you remember yourself.

AI is becoming more global, more multimodal, and more deeply embedded in everyday products. The newest edition of the Top 100 Gen AI Consumer Apps report reveals how quickly the consumer AI landscape is shifting. In this conversation, a16z’s Anish Acharya and Olivia Moore break down: - How ChatGPT and Claude are building very different app ecosystems, with consumer utilities on one side and high-value professional tools on the other - Why Google’s biggest AI wins so far have come from greenfield products like NotebookLM and creative tools rather than retrofitting legacy products - How cultural attitudes toward AI, not just product quality, are shaping adoption country by country - How OpenClaw showed what autonomous agents can do for technical users, while Manus brought that experience closer to consumers - Why memory may become a core expectation in AI products, to the point where onboarding starts to feel obsolete … and more. 0:00 Introduction 4:18 The app store dynamic and monetization strategies 9:12 Google’s Gemini comeback and the DeepMind creative push 11:33 Global AI adoption: Russia, China, and the per capita heat map 17:55 The evolution of creative tools 20:51 Sora's social experiment: A million users faster than ChatGPT 24:53 OpenAI Operator: Number one GitHub stars of all time 32:27 How teenagers are actually using AI 36:37 Memory as a core advantage for AI products Read the full report from @illscience and @omooretweets: a16z.com/100-gen-ai-app…

@rajshamani You are right and it goes deeper. People are not using AI to think better. They're using AI to avoid thinking at all. Same escape. Different screen.

You're not addicted to your phone. You're addicted to avoiding sitting with your own thoughts when you put it down.

@Zexyooo 🙌🙌

Digital Ray is interesting precisely because it's not a generic AI. It's a system trained on one person's 50 years of tested mental models. The real insight here isn't "use AI as a partner." It's that the quality of your AI partner is only as good as the quality of thinking it was built on. Most people's AI setup is built on nothing. That's the actual problem.

AI shouldn’t be something you just "follow"—it’s a partnership. The idea that we can make the best possible decisions by just juggling everything in our own heads is becoming obsolete. To really excel today, you need a thought partner. You need a system that can help you process information and logic more effectively than you can alone. I’ve codified my 50 years of experience into a new tool called Digital Ray to act as your personal thought partner. Try the beta at this link: digitalray.ai/guest?utm_sour…

@_falsi1ke 🙌🙌

No account should be under 1K followers Say hello, I will boost you