Carmine Punella

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Carmine Punella

Carmine Punella

@CPunella

VP of Engineering & Innovation @CoreViewHQ | AI Addict 🤖 | F1 Fan 🏎 | Smart Home Lover 🔌

Milano Katılım Haziran 2011
1.1K Takip Edilen516 Takipçiler
Carmine Punella
Carmine Punella@CPunella·
@cursor_ai I know I’m asking the impossible, but you have tons of agents working for you 🤣 please please add Azure DevOps as well
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Cursor
Cursor@cursor_ai·
Cursor is now available in Jira. Assign Cursor to work items, or mention @​Cursor in a comment to kick off a cloud agent. Cursor uses the title, description, comments, and your team's repository settings to create a merge-ready PR.
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Ivan Fioravanti ᯅ
Ivan Fioravanti ᯅ@ivanfioravanti·
I pushed another small optimization to ds4 PR to enable M5 Neural Accelerators and speed up prefill. Here benchmarks, these are all client side metrics, server side numbers are slightly lower. A /metrics endpoint would be great. Tomorrow I'll test this with pi mono for some real coding sessions on M5 Max, but on M3 Ultra too.
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antirez
antirez@antirez·
Welcome to DS4, a specialized inference engine for DeepSeek v4 Flash. github.com/antirez/ds4 This project would have been impossible without the existence of llama.cpp and GGML and the work of @ggerganov and all the other contributors. Thanks!
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Ivan Fioravanti ᯅ
Ivan Fioravanti ᯅ@ivanfioravanti·
I love this new project by super @antirez and I'm trying to add support for Neural Accelerators on M5 💪 PR Draft is ready to be tested and I invite everyone to try, review and change anything. Clearly heavily inspired by @ggerganov llamacpp for the M5 path. GPT 5.5 has been the only LLM able to follow instructions here and deliver something workable and follow instructions step by step. Here context benchmarks of M5 version, it could be much faster, MacBook is connected to two external monitors and doing a lot of things right now 😂
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antirez@antirez

Welcome to DS4, a specialized inference engine for DeepSeek v4 Flash. github.com/antirez/ds4 This project would have been impossible without the existence of llama.cpp and GGML and the work of @ggerganov and all the other contributors. Thanks!

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xAI
xAI@xai·
SpaceXAI will provide @AnthropicAI with access to Colossus 1, one of the world’s largest and fastest-deployed AI supercomputers, to provide additional capacity for Claude → x.ai/news/anthropic…
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Claude
Claude@claudeai·
Effective today, we are: 1) Doubling Claude Code’s 5-hour rate limits for Pro, Max, and Team plans; 2) Removing the peak hours limit reduction on Claude Code for Pro and Max plans; and 3) Substantially raising our API rate limits for Opus models.
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Claude
Claude@claudeai·
Introducing Claude Design by Anthropic Labs: make prototypes, slides, and one-pagers by talking to Claude. Powered by Claude Opus 4.7, our most capable vision model. Available in research preview on the Pro, Max, Team, and Enterprise plans, rolling out throughout the day.
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Carmine Punella
Carmine Punella@CPunella·
I’ve just tried it on some complex scenario, large codebase cross-repo, and the result is really really interesting! I’ll burn some other tokens tomorrow but so far good jump! 💪
Claude@claudeai

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision.

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Tesla Europe, Middle East & Africa
De toekomst van mobiliteit is aangebroken FSD Supervised has been approved in the Netherlands 🇳🇱 & will begin rolling out in the country shortly!  Trained on billions of kilometers of real-world driving data, it can drive you almost anywhere under your supervision – from residential roads to city streets & highways No other vehicle can do this.  We're excited to bring FSD Supervised to more European countries soon
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Carmine Punella
Carmine Punella@CPunella·
@claudeai @noahzweben This is exactly what I’m doing manually so far ! Great that this is becoming part of the platform.. even if the best is having other models in the loop as well
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Claude
Claude@claudeai·
We're bringing the advisor strategy to the Claude Platform. Pair Opus as an advisor with Sonnet or Haiku as an executor, and get near Opus-level intelligence in your agents at a fraction of the cost.
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Alexandr Wang
Alexandr Wang@alexandr_wang·
1/ today we're releasing muse spark, the first model from MSL. nine months ago we rebuilt our ai stack from scratch. new infrastructure, new architecture, new data pipelines. muse spark is the result of that work, and now it powers meta ai. 🧵
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Carmine Punella
Carmine Punella@CPunella·
Testing the Claude-to-Codex agent integration. I’ve only run a couple of tests with a few plans so far, and nothing particularly impressive has come out of it yet 🤔. Do you have any feedback on it? github.com/openai/codex-p…
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Carmine Punella
Carmine Punella@CPunella·
just run brew uninstall claude-code && brew install claude-code@latest
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Anthony Kroeger
Anthony Kroeger@kr0der·
just found out Claude Code has a new (unreleased?) feature called "Auto-dream" under /memory according to reddit, this basically runs a subagent periodically to consolidate Claude's memory files for better long-term storage this is pretty crazy because that's basically how humans store long-term memories if you think about it - by sleeping
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Ivan Fioravanti ᯅ
Ivan Fioravanti ᯅ@ivanfioravanti·
Claude Desktop is so much better than ChatGPT 😱 It’s night and day!
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Carmine Punella
Carmine Punella@CPunella·
@ivanfioravanti Absolutely!!! And it’s quite hard understanding the best - because it’s a combination of model, prompt and skills! 🤯
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Ivan Fioravanti ᯅ
Ivan Fioravanti ᯅ@ivanfioravanti·
It's incredible the difference you get in coding output between the various Claude Code, Codex, OpenCode, Droid and more. We need more benchmark around this because it can be really night & day!
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