Chris Gorgolewski
@chrisgorgo
Member of Technical Staff at @anthropicai. Previously at: @GeminiApp, @GoogleAI, @googleanalytics, @kaggle, @StanfordPsych, and @MPI_CBS. Opinions are my own.
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When our team tried Sonnet 4.5, we realized it was worth building a whole new version of Devin around it. This model behaves very differently! The team wrote up some of our lessons
Claude's new ability to work with Excel files is the best I have seen so far I have given it existing spreadsheets to work with and asked it to create new ones. Good use of formatting, formulas, etc. It created all of this, including 406 formulas, from one prompt (& its solid).
we’re growing the Claude Code pm team! looking for: 1/ power user 2/ a few yoe as a pm or founder 3/ passion for dev tools 4/ must be in sf or seattle dm me your email, linkedin, and your top feature request and we’ll reach out if it might be a fit!
I'm making a list of all the non-coding things people are doing with Claude Code. What are you using Claude Code for?
We're hiring for the Claude Code team! In particular, we're looking for a Systems Engineer (job-boards.greenhouse.io/anthropic/jobs…) and an Eng Manager (job-boards.greenhouse.io/anthropic/jobs…). The Claude Code team is having a blast, come join us :)
Wow! My knowledge of AI just increased by 100x. Thank you @AnthropicAI and @jozhukennedy for hosting an incredible event and your partnership with @Techweek_ and @a16z . #nytechweek This panel was next level . @chrisgorgo @MerrillLutsky @jeffbarg @mikezvi @PimDeWitte
LLMs turn out to be really helpful in interior design planning. I asked a model to pick wall and beanbag colors based on current state (pic 1) and visualize it (pic 2) and I followed the recommendation. The outcome is awesome! (pic 3)
By joining our Anthropic for Startups Program, you'll be the first to know our next round of founder and developer activations! Next up: catch the startups team at NY @Techweek_'s @AnthropicAI Founder Salon 6/3 👇 partiful.com/events/nUf8wan… We'll go deep on the launch of the new…
Claude Opus 4 on ARC-AGI Semi Private Eval Base * ARC-AGI-1: 22.5%, $0.40/task * ARC-AGI-2: 1.3%, $0.63/task Thinking 16K * ARC-AGI-1: 35.7%, $1.25/task * ARC-AGI-2: 8.6%, $1.93/task Opus 4 sets new SOTA (8.6%) on ARC-AGI-2
"A very important reason for me to prefer Claude Code is that it uses the token allocation assigned (...) to my Claude Max (...). It was such a problem for me (...) to have to pay for a subscription to web interfaces and also agentic IDEs..." One subscription for all your needs
Hey! I have used all the major agent IDEs and compared them against one another in their max/pro paid subscription plans. I've been vibe coding since long before it was a term - I think since around when the first Codex came out in 2021. I know you are very experienced in this…
Have you tried Claude 4 (Opus or Sonnet)? How do you like it? What should we improve in the next version?
One of the coolest feature of the Claude 4 family is the ability to use extended thinking in between tool calls. This is especially useful when Claude needs to revisit a strategy after receiving new information. Let me know how you like it!
We're hosting our first developer conference in May! More details here: anthropic.com/news/Introduci…
people love MCP and we are excited to add support across our products. available today in the agents SDK and support for chatgpt desktop app + responses api coming soon!
The latest post is about a new method, the “think” tool, that can result in remarkable improvements in Claude’s agentic tool use ability: anthropic.com/engineering/cl…
It’s been a big week for Claude Code. We launched 8 exciting new features to help devs build faster and smarter. Here's a roundup of everything we released:
Super happy we are launching our engineering blog with this one on the Thinking tool.. anthropic.com/engineering/cl…
Everyone who ever tried to get data from an academic publication sadly knows what this means...
As a fan of weird AI benchmarks, I like MCBench, where you vote on which LLM makes the best Minecraft build based on a prompt Also interesting how much leaderboards converge no matter what metric: Claude 3.7 & 3.5 and GPT-4.5 lead here, too. Suggests an underlying characteristic
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