We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video. It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵

Who is responsible for writing dockerfile. Developer or Devops ?

Absolute banging advice from Claude

Discover how AI is changing DevOps, the move toward agents, and why agent-based workflows will matter in 2026. - hackernoon.com/ai-in-devops-… #artificialintelligence #devops

OpenAI’s $500 Billion Valuation Has A 12-Person Auditor Problem The company building artificial general intelligence is audited by Fontanello, Duffield & Otake … a boutique firm with 12 employees designed for nonprofits. This matters because Michael Burry just exposed the structure: OpenAI reports $3.7 billion in 2024 revenue while Microsoft invests $13 billion, then OpenAI buys Azure compute from Microsoft, which purchases Nvidia chips, inflating both their revenues. IRS filings confirm the same small auditor through 2022 with no public upgrade since. The numbers tell the story. Nvidia’s 2025 earnings show 45% of sales going to three hyperscalers who are simultaneously OpenAI’s investors and customers. When you map the actual money flows, over 85% traces back through these closed loops. Strip away the circular transactions and organic end-user demand appears to be under 1% of the reported ecosystem. 98% of S&P 500 companies use Big Four auditors specifically because boutique firms lack capacity to detect fraud at scale. OpenAI converted to for-profit status in October 2025, bypassing Sarbanes-Oxley requirements entirely. No SEC oversight. No mandatory independent verification of revenue sources. Here’s what breaks: The AI sector now represents $10 trillion in market value built on $1.4 trillion in announced infrastructure spending. These commitments depend on revenue growth that may be accounting artifacts rather than genuine demand. If Q4 2025 earnings show Microsoft or Nvidia deriving more than 50% of growth from these circular arrangements, probability of systemic correction jumps to critical mass. A 20% demand shock cascades through network dependencies to generate 50% sector valuation collapse. This isn’t theory … it’s basic network mathematics applied to the documented ownership and transaction structures. Verify yourself: IRS Form 990 filings through 2022 list Fontanello explicitly at projects.propublica.org/nonp… OpenAI’s trust portal confirms only SOC2 operational controls, not financial audit scope. No Big Four announcement exists in any public disclosure. The 2008 financial crisis happened because complex instruments hid circular risk. This is the same architecture in silicon. The difference is these companies are building the infrastructure that’s supposed to power the next century. When the auditor checking half-trillion-dollar valuations has twelve employees, either everyone else is wrong about audit requirements or we’re watching the setup for the largest market correction in technology history. The math doesn’t lie. The structure is documented. And nobody’s asking the obvious question until now.​​​​​​​​​​​​​​​​ Read the deep dive full article here! open.substack.com/pub/shanak…

The problem with vibe-coding is that it opened the floodgates to a certain kind of person (myself included) who now pushes the idea that you can vibe-code an app in a few days and start printing life changing amounts of money. It’s turning into the same fake and lame energy of the info-guru world where the lifestyle becomes the product by setting unrealistic expectations to lazy people who want to get rich quick. In case I misled people: my belief is you can vibe-code an MVP. You can get interest, a waitlist, even early revenue. If the product is simple or you have basic engineering instincts, sometimes you really can build and scale something meaningful fast. It happens. But most of the time building real software still takes months. It needs iteration, debugging, new features, and actual users so you can test and fix. Non-engineers often misunderstand that software is a living, breathing organism. It needs maintenance, it needs oxygen (distribution and growth), and none of that is instant or finitely required. Anyone claiming you can fully automate marketing is lying. Anyone promising thousands of paying users overnight is selling an edge case. These outcomes happen, but they’re rare and treating them as the standard is how people end up disillusioned and angry. A lot of the “software fell off” narrative comes from comparing today to the 2000s/2010s, when (I believe) companies were built with decades in mind. Too many founders now (again, myself included) fantasize about quick wealth instead of lasting impact, largely due to social media and very largely due to every VC jamming the Cursor, Lovable, etc narrative down our throats (see: the fastest company to 100M ARR charts). I’m not saying you shouldn’t want to get rich, even quickly. That’s actually exactly what I want to do. I’m saying you may see more success by aiming to build something enduring because the opposite is a very unlikely-to-hit gamble where survivorship bias the only thing you see on your feed. To be completely clear (and TLDR): for selfish reasons alone, you should want to build for long-term impact. Do not let social media convince you that you can no-code a $10M ARR SaaS or raising $50M at 22 and exiting in 2 years are normal.