I also cancelled my subscription.The $20 Pro plan has become completely unusable for any real work. What is especially frustrating is that Claude Chat and Claude Code now share the exact same usage limits — it makes zero sense from a product standpoint when the workflows are so different. Even the $200 Max plan got heavily nerfed. What used to easily last me a full week (or more) of solid daily use now burns out in just a few days. Combined with the quality drop and unpredictable token consumption, it simply stopped being worth it.
That could totally power next generation of green-screen techs. Generative actors may not find favorable response in the audiences; but SFX, decor, extras, environments that react to actors' actions - amazing potential.
props to OP for the screenshots and payloads—that’s how you do it. If any IDE wants trust, they know the recipe - make telemetry optin by default and provide a real kill switch.
Engineers: always negotiate for higher base salaries. In the vast majority of cases—especially during acquihires—your equity will be worth little or nothing. Founders and VCs still get paid; employees rarely do.
Don't just accept promises. Ask for the 409A valuation, liquidation preferences, and pay bands. If a company won’t provide transparency, that’s your signal.
Equity is a lottery ticket. Salary is money in the bank.
I've been comparing R1 to O1 and O1-pro, mostly in coding, refactoring and understanding of open source code.
I can say that R1 is on par with O1. But not as deep and capable as O1-pro.
R1 is also a lot more useful than Sonnete. I actually haven't used Sonnete in awhile.
R1 is also comparable to the Gemini Flash Thinking 2.0 model, but in coding I feel like R1 gives me code that works without too much tweaking.
I often give entire open-source project's codebase (or big part of code) to all of them and ask the same question - like add a plugin, or fix xyz, etc.
O1-pro is still a clear and expensive winner. But if I were to choose the second best, I would say R1.
I've been diligently trying to use Gemini 1.5 Pro, and it is not even on the level of Llama3-70B. I really hope Gemini improves, even if it gets reduced context length.
I've been testing Ultra model today and comparing it to open source Mixtral MOE on HF chat. Gemini Ultra lost in every instance to the free open source model, including code generation.
I think the tasks I do with the help of LLMs are common, and Gemini Ultra is unusable at the moment.
Gemini refuses to answer or perform even on the simple prompts.
I hope Google team can make it better, but at the moment, for my light coding and text analysis use cases it is not worth $19.99
Results + new binary https://github.com/clark-labs-inc/clark-browser