Suchintan Singh
2.2K posts
@Suchintan
Founder of Skyvern (https://t.co/aRwSa7swlf)
My manager has completely outsourced his understanding and thinking to AI. It’s comically pathetic.
JUST IN: Google delays the Gemini launch as the technology falls short of internal targets.
AI is extremely good at spending your money very quietly. our own token spend went from a rounding error to more than 10% of payroll in a year. one week in May we burned through $1.5 m. our CFO didn't love telling me that number, and he really didn't love telling the internet. but every finance leader we talk to is living the same story. the bill keeps going up and teams can't answer basic questions about it. which team is driving it? which models they're using? what changed this month? whether a cheaper model would do the same job? so finance gets two bad options: keep paying and hope, or cut broadly and slow down the work that's actually compounding. we built a third one. Ramp now connects to OpenAI, Anthropic, Gemini, Cursor and pulls it all into one place. see it, understand it, control it - down to a single API key. built with 1,000+ companies managing 100T+ tokens a month, and now spending less than they expected too! try it today at ramp.com/ai-cost-monito…
AI agents are booking travel, signing into websites, and acting on your behalf. That creates a new security problem: until now, letting an agent log in meant exposing your credentials to the model. Today, with @AnthropicAI, we're changing that. 1Password for @claudeai lets Claude use your stored credentials to complete real-world tasks without your passwords or one-time codes ever reaching the model, its memory, or Anthropic's systems. You stay in control and approve which credentials an agent can use. 1Password handles authentication behind the scenes. Available now on Mac for business, family, and individual customers. bit.ly/4bLP5EJ
Congratulations! You've been selected to absorb another team's workload.
after a few more days of using gpt 5.6 sol, i started noticing some issues - if you have good solutions, please share! 1. it uses technical jargons a lot. it's almost speaking its own language that looks like English but you can't understand it until you ask "what do you really mean by this" 2. it can over-engineer and spiral out of control. something that can be done with a few lines of changes can often result in a massive diff fixing everything in the codebase 3. it's overly conservative in terms of touching live environment, so much so that it overly relied mocks for development and validation and build things that don't really work in production these things can likely get tweaked in system prompts, but so far gpt 5.6 is the only model family that don't get these things right out of the box, and it's a bit annoying i love overall how intelligent and fast the model is though! just curious if anyone's run into similar challenges with the model and has good solutions
I went through Tibo’s posts and mapped Codex’s growth trajectory. This is what people call a hockey stick. OpenAI has played this beautifully.
Once we have completed our review for security vulnerabilities, we will make the entire codebase of 𝕏 open source, with no exceptions. Moreover, we will invite third party reviewers to examine the system that is running to confirm that the open source code is what is running. Trust through total transparency is the only thing that should be believed.
