Angela Jiang

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Angela Jiang

Angela Jiang

@angjiang

interdisciplinarian. head of product @anthropicai platform.

🌎 Katılım Temmuz 2009
85 Takip Edilen35.1K Takipçiler
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Angela Jiang
Angela Jiang@angjiang·
If you're perfectly qualified to do something, you've already outgrown it
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Joel Gascoigne
Joel Gascoigne@joelgascoigne·
Within 6 to 12 months, every software product will need an API, MCP, and CLI. More and more, people expect to be able to interact with your product through automation, AI and agents. Historically, platform was a later stage of maturity play. Going forward, you won't really thrive in this new world without a platform.
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Kath Korevec
Kath Korevec@simpsoka·
I don't know why this is a hot take, but good PMs are gap fillers. bad PMs try to "define what PMs do." good PMs "just do."
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James Wang
James Wang@draecomino·
This was my first day at Cerebras in March 2023. There was no Claude Code, no agents, no fast inference. We were just getting started on AI training. I didn't know if we were going to make it.
James Wang tweet media
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Patrick OShaughnessy
Patrick OShaughnessy@patrick_oshag·
Krishna on how Anthropic thinks about the platform vs. application layer, and when they decide to build their own products like Claude Code. It’s the question every investor and founder is thinking about: “Most of what we're building is platform. There's so many examples of where a platform can accrue a lot of value, but the customers who are building on that platform actually accrue even more value. We will build our own applications on that same platform where a couple of things are true. Number one, if we feel like we have a vision into where the models are going and we can demonstrate that and create customer value in that, that might be something like Claude Code. The second is thinking about ways to demonstrate value for the ecosystem that others might emulate. If you think about Claude for financial services or Claude for life sciences, these are ways in which we've composed the platform. We're building on the same platform as our customers. That creates a level playing field. We also think that there's so much value that's going to accrue in these areas that our customers can win and we can win as well. So I think of our strategy as mostly horizontal. A lot of the value is going to accrue to the customers that are building on top of it. Our goal is build the best models and then build the products and tools and services that allow that intelligence to proliferate within customers."
Patrick OShaughnessy@patrick_oshag

Krishna Rao is the CFO of Anthropic, and this is his first podcast appearance. He joined the company two years ago when run-rate revenue was about $250M. Today it is $30B. He has helped raise ~$75B and is responsible for the procurement and allocation of compute. I feel lucky we get to hear what it is like to sit inside a company this consequential at a moment this pivotal. We discuss: - The cone of uncertainty - How he allocates compute across Trainium, TPUs, and GPUs - What investors misunderstand about model companies - Why the returns to frontier intelligence keep rising - Platform vs application and where Anthropic builds its own products - How Anthropic uses Claude internally I have asked my closing question about the kindest thing more than 500 times. Krishna's answer is one I have never heard before. Enjoy! Timestamps: 0:00 Intro 2:38 The Compute Canvas 6:51 The "Cone of Uncertainty" 11:58 Why the Returns to Frontier Intelligence Are So High 16:45 Recursive Self-Improvement 20:20 Scaling Laws 23:30 Sourcing $100 Billion in Compute 28:05 Platform vs. Application Strategy 32:52 Pricing Dynamics 38:48 How Anthropic’s Finance Team Uses Claude 43:24 Raising Capital & Overcoming Investor Skepticism 52:32 Public Perception, Risks, and Government Regulation 57:25 Mythos Release 1:12:33 What Could Derail the AI Revolution? 1:13:47 Biotech and Healthcare 1:15:31 The Kindest Thing

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Hiten Shah
Hiten Shah@hnshah·
AI accelerates the first mover’s disadvantage.
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Dan Shipper 📧
Dan Shipper 📧@danshipper·
In the future, you’ll be able to accomplish a goal by just giving Claude an outcome and a budget. That’s the direction Anthropic is building in with its new Managed Agents features, announced at this week’s Code with Claude developer event. The basic idea: Claude, wrapped in a computer in the cloud, that you can spin up, scale, and manage as needed. Anthropic is taking on the infrastructure that kills most agent products, and making sure that it scales to meet the needs of agents running 24/7. On this week’s AI & I from @every, I talk with Angela Jiang (@angjiang), head of product for the Claude platform, and Katelyn Lesse (@katelyn_lesse), head of engineering for the Claude platform, about what Anthropic is building and what it takes to make agents reliable in production. We get into: - Why the "build a generic harness, hot-swap any model behind it" playbook is already outdated. Angela points to eval data on Memory where the same task across different harnesses performed drastically differently. - The infrastructure wall every team hits in production—and why Katelyn thinks “my sandbox died and took the agent with it” is the real reason internal agents don't ship. - Why Anthropic is so bullish on using file systems and skills within Claude, including Angela's argument that those early design choices can compound for years. This is a must-watch for anyone trying to take an agent past the demo and into production. Watch below! Timestamps: How the Claude platform evolved from API to agents: 00:01:48 The primitives that make up Claude Managed Agents: 00:04:09 Why the harness and the model are becoming a single unit: 00:10:37 The infrastructure wall that kills most agent projects in production: 00:18:49 Why team agents need a different shape than individual productivity tools: 00:24:49 How Anthropic's legal team uses an agent to review marketing copy: 00:26:36 Using multi-agent orchestration for advisor strategies, adversarial pairs, and swarms: 00:34:24 How to measure agent success with outcome and budget as the end state: 00:35:50 What the platform looks like a year from now, when Claude writes its own harness: 00:39:11
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Matt Pocock
Matt Pocock@mattpocockuk·
AI is making me obsessed with language Taking abstract business processes and naming them is INSANELY powerful for aligning AI with how you work I don't scan X for inspiration for course material/socials I capture notes (either as hooks and bricks) from the X channel This brevity makes communicating with AI so much faster, and helps you think more clearly
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Lexie
Lexie@lexxbarn·
I’m technically not technical but with Claude I’m technically technical
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Claude
Claude@claudeai·
Live from Code with Claude: we're launching dreaming in Claude Managed Agents as a research preview. Outcomes, multiagent orchestration, and webhooks are now in public beta.
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Andrew Yeung
Andrew Yeung@andruyeung·
Overheard at a dinner with tech CEOs the other night: The top 1% of customer success and sales people at their companies are becoming hybrid "forward-deployed product managers" They're not just managing relationships and relaying requests to product and engineering, but building features themselves. They don't need t wait for engineering, product or design. They can ship exactly what the customer wants, instantly. This is becoming prevalent at early-stage startups. Roles as we know them are going to look completely different in a few years.
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Ethan Lo
Ethan Lo@ethanhlo·
@angjiang @ClaudeDevs I got a request - can you allow us to download Skills from the platform console? Right now we can only upload them, so if you lose track which one is uploaded, you're out of luck.
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Angela Jiang
Angela Jiang@angjiang·
@chrislakin Tried it for a month. Was too soul crushing to continue and I reverted.
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Angela Jiang
Angela Jiang@angjiang·
There’s a category of advice called fake leverage. The worst one of this category I ever got was to stop executing and to scale myself through sheer management.
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John Palmer
John Palmer@johnpalmer·
when you join a big company you have to decide pretty quickly if you’re going to cross the event horizon and be sucked into NPC mode, or if you want to fight incredibly hard to remain a live player
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Jess Yan
Jess Yan@jess__yan·
I recently had a chance to reflect on how the product role has evolved along the AI exponential. Here's a look into my experience building Claude Managed Agents, plus practical examples of the DIY'ed agents currently unlocking my productivity. claude.com/blog/product-d…
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Daniel San
Daniel San@dani_avila7·
OK Cloudflare just took my weekend Going to try something, use Claude Managed Agent with this new Cloudflare + Stripe Projects flow and see how far it actually gets on its own Real end-to-end experiment, no shortcuts I'll post what happens, whether the agent really pulls off everything the blog claims - Create the Cloudflare account - Register the domain - Deploy to production All without me touching the dashboard 🧐
Cloudflare@Cloudflare

Starting today, agents can now be Cloudflare customers. They can create a Cloudflare account, start a paid subscription, register a domain, and get back an API token to deploy code right away. cfl.re/4sY0Uxn

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