I genuinely didn't expect Fireship to go after DHH this hard, and it caught me off guard in the best way. The video breaks down how David Heinemeier Hansson has been making increasingly wild claims about Rails, AI, and web development in general. Fireship walks through specific examples of DHH's recent takes, showing where the logic actually falls apart versus where he might have a point. What surprised me most was how reasonable the critique felt. I went in expecting pure dunking, but instead got a thoughtful dissection of someone conflating their platform with expertise. I agreed with most of it. DHH's tendency to make sweeping statements about technology trends based on his specific experience with Rails often feels detached from reality. The part that bugged me though was feeling like the video could've engaged more with why someone like DHH keeps doing this. Is it ego? Genuine conviction? Probably both. Where I landed is that DHH isn't completely wrong about everything, but he's definitely overconfident in how universal his opinions are. Worth watching if you care about Rails or just enjoy watching someone get methodically fact-checked. https://www.youtube.com/watch?v=OuNKBjuV7A4

I didn't expect Meta to actually admit they've been wrong. But that's kind of what this video shows, and it's more interesting than another "we're doubling down on AI" announcement. Fireship breaks down Meta's Connect 2026 keynote, covering their latest hardware push, AI integration plans, and some genuinely unexpected strategic shifts. The company's backing away from some of their messier bets while leaning harder into AR glasses and on-device AI. What got me was how transparent they're being about previous miscalculations. It feels almost refreshing compared to the usual corporate spin. I'm torn though. On one hand, pivoting based on what actually works instead of what executives want to be true is fine. On the other hand, this is Meta's third major direction change in as many years. At some point the question isn't whether they're right this time, it's whether they actually know where they're going. The AI stuff sounds solid enough, but I've heard that before. The video itself is characteristically dense and fast without feeling rushed. It's worth watching if you want the actual details instead of speculation. https://www.youtube.com/watch?v=c1rPlzxSZ8E

Check out this video from Fireship: "An ex-OpenAI researcher just deleted language from the LLM..." Watch here: https://www.youtube.com/watch?v=TbkUKCm3CHQ

Check out this video from Fireship: "The most expensive 33 hours in WordPress history..." Watch here: https://www.youtube.com/watch?v=ylO0DQeVEBQ

Check out this video from Fireship: "How Do LLMs Work?" Watch here: https://www.youtube.com/watch?v=XQNhCU17ipM

Check out this video from Fireship: "Did Google just kickstart the intelligence explosion?" Watch here: https://www.youtube.com/watch?v=LoLYw--s-5w

Marketing platform Noise is on a mission to help anyone with a smart phone make money from their content. Source: https://techcrunch.com/2026/09/16/noise-wants-to-help-everyday-people-become-paid-content-creators/

Cap table management platform Pulley, backed by General Catalyst, Stripe, and Founders Fund, announced that it's closing shop in December. Source: https://techcrunch.com/2026/09/16/pulley-a-carta-rival-is-shutting-down/

Anthropic and OpenAI want to embed independent safety evaluators inside their AI labs. Researchers welcome the unprecedented access, but warn meaningful oversight requires transparency, independence, and eventually regulation. Source: https://techcrunch.com/2026/09/16/anthropic-and-openai-want-to-embed-safety-evaluators-will-they-really-be-independent/

Check out this video from Fireship: "Anthropic researchers are quitting... and now we know why" Watch here: https://www.youtube.com/watch?v=7r4ikZHm9AI

Apple’s long-delayed Siri overhaul is finally here with iOS 27, and it changes how useful the assistant feels day to day Source: https://techcrunch.com/2026/09/14/with-ios-27-im-actually-using-siri-again/

Volkswagen's new efficiency-minded halo car is almost twice as efficient as the most efficient production car, the Lucid Air. Source: https://techcrunch.com/2026/09/14/volkswagens-crazy-efficient-ev-borrows-an-idea-from-slate/

From floating reactors to brain chips: VCs picked their favorite YC startups from the summer batch. Source: https://techcrunch.com/2026/09/13/the-9-buzziest-startups-from-y-combinators-latest-demo-day-according-to-vcs/

Oracle had previously disclosed that Ellison planned to sell 50 million shares worth around $7.5 billion. Source: https://techcrunch.com/2026/09/13/larry-ellison-cancels-7-5-billion-sale-of-oracle-stock/

Insight Partners' Devin Parekh opens up about losing Legora to General Catalyst, why he's fine holding stakes in rival AI labs, and why — even as everyone else piles into OpenAI and Anthropic — his $90 billion firm is deliberately staying diversified. Source: https://techcrunch.com/2026/09/13/insight-partners-devin-parekh-on-why-the-firm-is-diversifying-while-everyone-else-bets-the-farm-on-openai-and-anthropic/

Tesla’s halo sports car was first announced in November 2017. Source: https://techcrunch.com/2026/09/12/tesla-says-it-will-finally-unveil-the-second-generation-roadster-on-october-1/

Anthropic's Dario Amodei and OpenAI's Sam Altman seem to agree that it's time to "pace the frontier." What would that actually look like? Source: https://techcrunch.com/2026/09/12/anthropic-ceo-outlines-plan-to-pace-the-frontier/

Revolut said it notified affected customers and alerted the relevant government agency, law enforcement, and financial regulators. Source: https://techcrunch.com/2026/09/12/revolut-confirms-customer-data-breach-through-fake-government-requests/

Check out this video from Fireship: "How to spot AI content" Watch here: https://www.youtube.com/watch?v=Hj_yRDR9EzE

Tan argues that frontier models themselves trained on public human knowledge so access to capable AI should be "a form of public good." Source: https://techcrunch.com/2026/09/11/y-combinators-garry-tan-wants-u-s-open-weight-ai-labs-to-distill-frontier-models-too/