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Introducing the Firecrawl CTF V3 🔥
60 problems total, and you only have 4 seconds to solve each.
We're building a team of the top agent orchestrators in the world.
Solve it and you might be one of them.
ctf.firecrawl.dev
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here's the repo - github.com/vishkrish200/chee…
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this was super cool. first of many!
@AnthropicAI @Razorpay
🚨 Calling Claude builders in India 🚨
@Razorpay, @AnthropicAI, and @PeakXVPartners are hosting the @ClaudeAI Builders Showcase in Bengaluru.
Not a workshop. Only builders shipping real products, agents, and internal tools with Claude.
What to expect:
• Fireside chat with @ighose, MD, Anthropic India
• Razorpay’s internal Claude demos, followed by live demos from top builders
• Up to $10,000 in Claude API credits up for grabs
📍 Bengaluru
Apply by Monday, 13 July: luma.com/8v8l5x5g
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finally cloned codex-style global chats in claude code. should’ve done this ages ago.
now i get full agentic capability instead of being stuck in native chat.
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super interesting paper!
arxiv.org/abs/2606.19317
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so much insight in this which is generally unspoken. really good if you have a block
last month i was learning RL in a bottom up manner and struggled to come up with good ideas for experiments. soon, i also realised that if i want to get better at research, i gotta get better at ideas. in this post i make my problem everyone's problem.
sankalp.bearblog.dev/on-idea…
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there is like a thousand paths you can take in life, and 100% people compete on the same path. competition is truly for losers, just ignore the decision tree laid up in front of you when you are born and just do things. there's no one there to compete
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ah 4th 🙃. p fun tho
We're spending $1,000,000 hiring agent orchestrators at @firecrawl.
Just solve all 60 problems in the our CTF challenge, and we’ll make it very worth your while.
ctf.firecrawl.dev
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Vishnu Krishnan retweeted
Most human tasks are not Markovian, the optimal next action cannot be determined solely by looking at the current state. It depends heavily on the past trajectory, the original intent, and context constraints. An agent that cannot compress and track its past trajectory with absolute fidelity is maybe 20% as useful as one that can.
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Took me longer than it should’ve to notice this.
openclaw completion was running on every zsh startup (oops)
Lazy-loaded it, now my terminal feels snappy again.
2.4s → 0.03s
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Vishnu Krishnan retweeted
Chrome 146 includes an early preview of WebMCP, accessible via a flag, that lets AI agents query and execute services without browsing the web app like a user.
Services can be declared through an imperative navigator.modelContext API or declaratively through a form.
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