RuskEater
329 posts


The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen. Over the last 5yrs, a group of ~10k people - employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders - have hit retirement wealth of well above $20M (back of the envelope AI estimation). Everyone outside that group feels like they can work their well-paying (but <$500k) job for their whole life and never get there. Worse yet, layoffs are in full swing. Many software engineers feel like their life's skill is no longer useful. The day to day role of most jobs has changed overnight with AI. As a result, 1. The corporate ladder looks like the wrong building to climb. Everyone's trying to align with a new set of career "paths": should I be a founder? Is it too late to join Anthropic / OpenAI? should I get into AI? what company stock will 10x next? People are demanding higher salaries and switching jobs more and more. 2. There’s a deep malaise about work (and its future). Why even work at all for “peanuts”? Will my job even exist in a few years? Many feel helpless. You hear the “permanent underclass” conversation a lot, esp from young people. It's hard to focus on doing good work when you think "man, if I joined Anthropic 2yrs ago, I could retire" 3. The mid to late middle managers feel paralyzed. Many have families and don't feel like they have the energy or network to just "start a company". They don't particularly have any AI skills. They see the writing on the wall: middle management is being hollowed out in many companies. 4. The rich aren’t particularly happy either. No one is shedding tears for them (and rightfully so). But those who have "made it" experience a profound lack of purpose too. Some have gone from <$150k to >$50M in a few years with no ramp. It flips your life plans upside down. For some, comparison is the thief of joy. For some, they escape to NYC to "live life". For others still, they start companies "just cuz", often to win status points. They never imagined that by age 30, they'd be set. I once asked a post-economic founder friend why they didn't just sell the co and they said "and do what? right now, everyone wants to talk to me. if i sell, I will only have money." I understand that many reading this scoff at the champagne problems of the valley. Society is warped in this tech bubble. What is often well-off anywhere else in the world is bang average here. Unlike many other places, tenure, intelligence and hard work can be loosely correlated with outcomes in the Bay. Living through a societally transformative gold rush in that environment can be paralyzing. "Am I in the right place? Should I move? Is there time still left? Am I gonna make it?" It psychologically torments many who have moved here in search of "success". Ironically, a frequent side effect of this torment is to spin up the very products making everyone rich in hopes that you too can vibecode your path to economic enlightenment.


Customize Speech-to-text for Healthcare (in real-time) Transcribing medical conversations requires systems that continually adapt to the newly developed and approved medications, tests, and procedures. Furthermore, there are more than 135 medical specialties, each bringing its unique vocabulary to learn. General-purpose systems are simply not useful in these settings. A popular method for continual adaptation is to fine-tune general-purpose speech-to-text models on evolving vocabularies. However, this requires frequent production deployments with significant updates, potentially leading to excessive time-to-market delays and engineering overhead. The newly improved Argmax Custom Vocabulary feature enables developers to customize speech-to-text in real-time in a self-serve fashion: - Updating the system vocabulary is a configuration change, not a model or system update. - Each medical specialty can easily configure its unique vocabulary to scalably customize behavior in a fine-grained fashion. - Accuracy surpasses medical-domain fine-tuned models in many cases, thanks to precision-targeted vocabularies. (Numbers in replies) As a concrete example, here is how Argmax performs on a file that vocalizes all medications approved by the FDA in 2025.





Introducing Real-time Transcription with Speakers! - Step change in accuracy, surpassing top cloud APIs - Faster than real-time on Mac and iPhone - Still under 3 watts when all features are enabled Available in Argmax SDK 2.0 for early access! Benchmarks and details in comments.





COLM Keynotes: Luke Zettlemoyer Mixed-modal Language Modeling youtu.be/PdsKNtEofFY

This is the news item dated Oct 17 2025 from Bihar. Translation from Hindi (Google Translate): "Saharsa: 30-35 female students fainted after receiving the HPV vaccine...They were admitted to Sadar Hospital...The District Magistrate declared the situation normal." Facts: 1. HPV is sexually transmitted. It does not transmit via regular contact or even hugging. 2. We are giving it to very young girls in India. 3. News from Tamil Nadu just 3 days ago: "Tamil Nadu Paves the Way for a Cancer-Free Future With Free HPV Vaccines" This is NOT a political issue. Please do NOT make this potlicial. Most states in India are doing it and our political leaders across the spectrum have been told that ever more vaccine shots are in the best interest of Indians. I do not blame the politicians because when someone like me can be shouted down so vocally, it would be political suicide for a politician (of any party) to talk about, particularly when the mainstream consensus is so strongly in favor of ever more vaccine shots. It does not help our business or my "image" to talk about this. Even my friends advise me not to talk about it because they are worried for my safety or my image. I have no hidden agenda here. I will state what I believe again: we are giving way too many vaccines to young children. This does NOT mean we should stop ALL vaccines. So let the critics not twist my words. Do not let the doctors who think I am science-illiterate shout this down. These voices must be heard.




>>> Qwen3-Coder is here! ✅ We’re releasing Qwen3-Coder-480B-A35B-Instruct, our most powerful open agentic code model to date. This 480B-parameter Mixture-of-Experts model (35B active) natively supports 256K context and scales to 1M context with extrapolation. It achieves top-tier performance across multiple agentic coding benchmarks among open models, including SWE-bench-Verified!!! 🚀 Alongside the model, we're also open-sourcing a command-line tool for agentic coding: Qwen Code. Forked from Gemini Code, it includes custom prompts and function call protocols to fully unlock Qwen3-Coder’s capabilities. Qwen3-Coder works seamlessly with the community’s best developer tools. As a foundation model, we hope it can be used anywhere across the digital world — Agentic Coding in the World! 💬 Chat: chat.qwen.ai 📚 Blog: qwenlm.github.io/blog/qwen3-cod… 🤗 Model: hf.co/Qwen/Qwen3-Cod… 🤖 Qwen Code: github.com/QwenLM/qwen-co…

















