We're launching Claude Tag today. Tag Claude into Slack and it works in channel with you. It’s proactive, multiplayer, with its own identity and memory.
But it’s not just a bot in Slack. Over the last few months, it’s totally changed how we use Claude
there's a ton of demand right now for excellent infra talent, definitely outpacing supply
im hiring engineers who have tackled megascale, multicloud product infra to work on the Claude Platform. help me find them 🙂
We've raised $65 billion in Series H funding at a $965 billion post-money valuation, led by @AltimeterCap, Dragoneer, @Greenoaks, and @sequoia.
This investment will help us advance our research and expand our capacity to meet growing demand for Claude.
@dr_alphalyrae I think it’s not possible in S. bay, might be possible in E. bay. I think you have to treat it like taboo, and if anyone says “CUDA” or “term sheet” they have to put a dollar in a jar.
ANTHROPIC beats OpenAI in business adoption for the first time. per @tryramp data
Today's update of Ramp AI Index shows 34.4% of businesses using Anthropic versus 32.3% using OpenAI.
Adoption of Anthropic quadrupled over the last year, while OpenAI rose only 0.3%.
Starting June 15, paid Claude plans can claim a dedicated monthly credit for programmatic usage.
The credit covers usage of:
- Claude Agent SDK
- claude -p
- Claude Code GitHub Actions
- Third-party apps built on the Agent SDK
Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts.
Deploying agents is far more technical of a task than most people realize, often far more involved than deploying software. Software generally works the same way every time, and generally for the past few decades has been updated versions of an existing technology or concept (which basically means easier for the enterprise to update their workflows on a newer system).
With agents, you’re actually deploying the equivalent of work output within the enterprise. The customer is effectively using you as a professional services provider for a task, which they expect to get solved nearly end-to-end now. This means you need to actually deeply understand the business process as a vendor, and get the customer from the current to the end state seamlessly.
Companies need help figuring out which models will work best for their workflows, they need extensive evals setup often, they need change management support for workflows, they need to get their data setup for the agents, and constant tuning of the agentic system for their process.
Massive role in tech now. And another example of the kind of highly technical work that AI is creating.
@DamianBullish@willccbb I think the best answer right now is to ask about anything you’re curious about, or explicitly ask the agent to teach you. I think the agents are better at explaining what you need to know then you would expect.