@roncohen

Building in Private Markets… Co-founder/CTO @reflagcom Prev.: tech lead for Observability group @Elastic and co-founder @opbeat (acq. by Elastic) before that.

Copenhagen
Joined August 2008
Ron Cohen retweeted
Replying to @roncohen
Pi is already supported
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Who'll write the Pi plugins to support this?
48 hours to Claude Code support. ty @AnthropicAI
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Late to the party but Opus 5.5 is really good. Only wish for it was for it to be available by subscription in my beloved Pi. I would upgrade my plan to the big ‘ol one if it was. You listening @AnthropicAI ? 😅
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Replying to @roncohen @bentlegen
Fast/cheap CI is possible Will look back at this and think it's crazy that we always run all tests for every build
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GCP Cloud Run feels so abandoned. Huge missed opportunity
Today we’re launching Worker Previews. Each Git branch gets a production-like place to run, with its own code, configuration, URL, observability, and state. cfl.re/4hgSuxf
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Great to see real engineering still happens
Today we’re announcing Petal: the world’s first petabit-class transoceanic subsea cable and the first to deploy multi-core fiber at scale. Spanning 7,000 km (4,000+ mi) between France and the United States, Petal will deliver 1 Petabit per second (1 Pbps / 1,000 Tbps), doubling the capacity of today’s most advanced transatlantic systems. Petal is set to enter service in 2029, setting a new standard for high capacity, high density SDM subsea cable designs. Read the full technical breakdown on our engineering blog: engineering.fb.com/2026/09/2…
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Started using GPT-6-Astra this week and for the first time I've run out on the $100 plan. Just spent my second banked reset 😅 Might have to go back to Sol. What are you guys doing?
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I’m definitely the cynical type, but my guess is: LangDock’s primary customers are relatively conservative German companies and selling “AI” to them is much easier if you’re incorporated in Germany.
Hi @patrickc - Judith from @langdock here. We just crossed €50m ARR and flipped from a US Inc -> European SE. We want Germany to make starting and running companies easier (first on the list: compulsory notarization). At the same time, building a big company from here is absolutely possible and we intend to prove it. The SE is actually a good structure, but it's not an option for founders who are just starting out. That's why we are big supporters of @euinc. We're bullish on Germany - and bullish we can do even better. Both can be true at the same time. Happy to chat more.
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What I like the most about this is that by narrowing the scope, they made a 2 magnitude improvement to a - narrower than the general LLMs, but still huge - use case. That general pattern is worth taking note of. Similarly, @turbopuffer introduced per-namespace cache hydration from S3: search is fast for the “working set” of namespaces which is cached on NVMe but unlike the general solutions, you can’t search through all documents (across namespaces) quickly. This is perfect for a bunch of use cases and the solution makes it much cheaper for those situations.
Replying to @CompleteSkeptic
The gains aren’t free: Jev can't generate text Comparing Jev vs LLMs side-by-side makes the trade-off clear Fun fact: replacing sequential computation with parallel is the same way Transformers leapfrogged RNNs
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Ron Cohen retweeted
so i have this idea we put the chat history on the left and a big chat in the center screen and we use OPENAI_API_KEY and target any random industry and give a system prompt to “be an expert of this industry” and we buy the industryagent .ai domain
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I dont understand this flex. 1. Doesn’t talk about output. Would be like saying I burned 100 gallons of diesel today 2. Clearly unintended use of subscriptions. If enough post like this, they will have to clamp down on this.
my software factory is scaling up nicely, i'm using 7.3B tokens per day that's $4k in API usage costs/day... but i'm only paying $4k/month in subscriptions (15 Codex, 5 Claude)
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Pretty sure @OpenAI always sits on it until right after @AnthropicAI releases their new model and then release it just so they will always have the newest model 🤔
This is GPT-6 Astra. Anything you can do on a computer, Astra can do for you. Fast.
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Yes! And since agents are doing the driving, every user is now a power user. This means you should expose the whole surface through MCP/CLI
Anything users can do in your dashboard UI, agents should be able to do through your API or MCP.
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Been thinking about what the "Everything app/agent" will be. I think it's more and more likely to just end up being ChatGPT. The everything app is what you'll use for .. everything. Today, you have your local terminal based agent that you use for most coding tasks, and/or you might be building some stuff with agents in @linear based on customer feedback etc. and you probably use @ChatGPT to answer a bunch of professional and personal questions. But I'm increasingly convinced we'll end up just using a single app to talk to an agent which connects to everything else we do: code repos, email, calendar, banks, chat apps, support inbox: you name it. It has all the context. ChatGPT is not really there yet, but i think it's inevitable that something will become the central hub for everything and ChatGPT feels like the best positioned to do it?
Onboarding at OpenAI is one of the fastest I have ever experienced. Step 1) login to Slack Step 2) download and login to ChatGPT. That’s basically it. Anything in this company can be driven from here, and it comes readily configured. You can figure out how to do anything or find the right person for anything. All workflows and tools integrate well into Slack and so you don’t have to leave these two surfaces. This is the future of onboarding and enables engineers to ship on day one at scale. I didn’t think it was possible to keep this velocity at this scale, but it is.
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Google Cloud Observability feels neglected or over engineered. Can’t imagine Googles internal tools are this convoluted? What’s going on here? It’s clearly below 80% but still sounded the alarm. I’m sure it’s my own fault somehow but not sure exactly how.
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Yes, we’ll experience more shitty software due to LLMs but we’ll also get a ton of super high quality software experiences from a bunch of opinionated, detail oriented people who were never able to build software before.
Just built my first Omarchy plugin! This also happens to be the first piece of software I've ever made solo entirely with AI. Back-and-forth over English and nothing else. So two firsts for me. Super fun experience. Here's a quick little tour. Hope you dig it.
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I’m obviously aware that the Jason is a world class designer etc, but it’s a huge unlock that these guys can just get stuff done now.
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Had a big AI job to complete. It involved some web searches and then LLM crunching a bunch of separate sources to summarize them. Some months ago it would have cost something like $2500. Today it’ll get done for less than $20. Thanks GTP-5.6-luna and @Tiny_Fish!
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flex/batch processing mode is half price. For batch style jobs, it's a game changer
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