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we are seeing costs start to matter! uber just set limits of $1500 in tokens per developer per month i think we're going to start seeing more of this, and LangSmith Gateway is a great way to implement it
Say goodbye to month-end surprise invoices. LangSmith LLM Gateway lets you see your spend. Roll up your costs in real time by workspace, user and API key.
Some employees are using company tokens for personal projects It's the new "stealing office supplies from the company" The irony is the token thief is almost always the person who understands AI agents better than anyone else at the company
@signulll Engineers using tokens for personal projects is the new stealing supplies from the office?
View quoted postTons of employees are using company tokens for personal projects It's the new "stealing office supplies from the company" The irony is the token thief is almost always the person who understands AI agents better than anyone else at the company
@signulll Engineers using tokens for personal projects is the new stealing supplies from the office?
View quoted postRT Ideogram Introducing Ideogram 4.0: the best open image model in the world. Think it. Make it. Own it. Download the weights, fine-tune on your own data, and run it on your hardware. Live on every Ideogram plan and the API today.
The messy stages are the most exciting. If you wait for the neat and tidy stage, you’ll be competing with everyone.
▲ + ❄️ Generating frontends on top of your business data is one of the killer apps of coding AI. The genie is out of the bottle. Never going back to clunky and rigid dashboards. @vercel already ran on Snowflake. But with @v0 and @nextjs, we’re now getting 1000x the value.
v0’s Snowflake integration is now in public preview. Prompt v0 to use Snowflake, connect your account, and watch as it generates polished dashboards with your data.
View quoted postJoin @GoogleDeepMind Principal Engineer @__apf__ to walk through how Gemini Spark helps simplify your daily workflows. Powered by Gemini 3.5 Flash, Spark builds upon Gemini's ability to connect with @GoogleWorkspace apps like Docs and Gmail to execute complex tasks.
Strong signal for local AI on this year's Computex. Big players like NVIDIA and Microsoft are embracing and discussing local AI workloads. Dedicated consumer hardware and models are on the way.
AI will be able to build anything for anyone. To do this AI will use building blocks. Building blocks, that AI is familiar with, that come with extensive instructions. A lot of what you need a standalone platform for today, will be converted into building blocks with instructions for agents. Many users will have their AI build things for them, and be completely unaware of these building blocks. All of it will be invisible. Maybe their agent just pays for a microservice in the background. Sometimes however, these building blocks may pop up in the agent browser for manual tweaks and edits and other interactions for the users. There are so many domains where these building blocks have not yet been created. Unobvious domains. Unsexy domains. Unverifiable domains. There is opportunity here.