Oliver Molander
@OliverMolander
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Still in pre-training... 🇸🇪🇪🇺🇫🇮
Stockholm
Joined June 2018
Betting almost the entire house on coding may turn out to be the shrewdest business move by Anthropic in AI history to date. A Harvard Business School case study will follow.
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Anthropic is going parabolic. It just went from $183B to $350B in four months. That’s a 91% jump. Their revenue run rate hit $9B by end of 2025. At $350B pre-money, they’re trading at roughly 39x ARR. Meanwhile… OpenAI is at $500B (maybe seeking $750B) with ~$13B in ARR.
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the only model i genuinely miss from the gpt-4 era is gpt-4.5 it was excellent at writing in every way followed instructions, stayed consistent, and had real emotional intelligence. gpt-5 series is rough for creativity and writing so it seems like openai traded creativity for
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This 2011 lecture from Jensen Huang at Stanford University will teach you more about business than a 2 year MBA
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My read on LMArena is different than most. The headline here is $30M ARR in 4 months. But I'm more interested in the business model underneath. LMArena built something that feels impossible. A crowdsourced evaluation platform that became the single biggest marketing lever in
LMArena has raised $150M+ at a valuation of $1.7B+ 💪🏼 In the past 7 months, @arena has: Grown our userbase 25x. 35M+ unique users. Grown our revenue from 0 to >>$30M+ ARR in 4 months. Our products help labs and enterprises measure the real utility of AI and understand their
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Pretty wild convo I just had with the Head of AI at a $50bn tech company. They're watching a massive class divide be created in real time before their eyes. 60% of employees are AI-native. Use ChatGPT >20x per month. Constantly mining for ways to leverage AI in their
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Be like LMArena: > Start as a small research side project > Build a simple Gradio web app and let users rank anonymous LLM responses > Spin out and raise a $100M seed round (still on Gradio) > Go from $0 to $30M ARR in ~4 months > Raise a $150M Series A at a $1.7B valuation
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Huge loss for OpenAI. When you go from research lab to product focused company, it must be quite hard on the researchers devoted to hardcore research. Wherever Jerry goes next will be lucky to have him.
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Exclusive: AI evaluation startup LMArena has raised $150M at a $1.7B valuation — nearly triple its valuation from last year. Read more from @Katie_Roof and @rocketalignment 👇 https://t.co/5a5NUXf1Si
theinformation.com
LMArena, astartup that operates a widely cited ranking of AI models based on their performance, has raised $150 million at a valuation of $1.7 billion, including the new money, according to the...
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rust is a perfect language for agents, given that if it compiles it's ~correct
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The FOMO around Claude Code is real. You don't need a project idea. You need to describe your work and let it interview you. So many people are posting rad Claude Code wins: apps, sites, workflows. But most people are staring at a terminal thinking "I don't even know what's
Feeling like I should be using Claude Code but have no idea exactly what I should be using it for. Just a bundle of non-technical FOMO over here.
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This is a good analogy. I've been working with Claude Code with Opus 4.5 for the past weeks, & I confidently say that it has achieved AGI level in coding! It is indeed a watershed moment we've been waiting for! It will continue to get exponentially better in a self-improving way!
Claude Code with Opus 4.5 is a watershed moment, moving software creation from an artisanal, craftsman activity to a true industrial process. It’s the Gutenberg press. The sewing machine. The photo camera.
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It genuinely feels to me like GPT-5.2 and Opus 4.5 in November represent an inflection point - one of those moments where the models get incrementally better in a way that tips across an invisible capability line where suddenly a whole bunch of much harder coding problems open up
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NEWS: NVIDIA just announced Alpamayo, what CEO Jensen Huang calls the world’s first thinking, reasoning autonomous vehicle AI, launching on U.S. roads later this year, starting with the Mercedes CLA. Jensen: "It's trained end-to-end. Literally from camera in to actuation out; It
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From OpenRouter’s State of AI 2025: health is the most fragmented LLM category No single use case tops 25% of tokens. Usage spans research, counseling, treatment guidance, and diagnostics. That diversity shows both demand and why modeling healthcare is uniquely hard.
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Per an interesting stat Jensen just dropped that NVIDIA's autonomous vehicle team is 7,000 people, means ~20% of NVIDIA employees work on autonomous cars.
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This isn't an overstatement. It's not an attempt to create hype. If you don't see it yet, you will. (This post isn't about all LLMs. It's specifically about Claude Code with Opus 4.5. There was software development before Claude Code with Opus 4.5, and there is software
Claude Code with Opus 4.5 is a watershed moment, moving software creation from an artisanal, craftsman activity to a true industrial process. It’s the Gutenberg press. The sewing machine. The photo camera.
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When you show how good Claude Code with Opus 4.5 is to your friends
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