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It’s now easier to move local agents to the cloud so they can keep working with your laptop closed.
— Cursor (@cursor_ai) 17 juin 2026
Prompt Cursor from your phone, run many agents in parallel, and get back PRs with demos of their work. pic.twitter.com/vuh5aZbH3e
It’s now easier to move local agents to the cloud so they can keep working with your laptop closed. Prompt Cursor from your phone, run many agents in parallel, and get back PRs with demos of their work.
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Email is one of the last martech layers still stuck in its own dashboard while the rest of the stack moved into the agent.
— Chubby♨️ (@kimmonismus) 17 juin 2026
Nitrosend is a bet that it doesn't have to be: one MCP install and the whole email layer runs from inside Codex, Claude, or ChatGPT. The signal worth noting… https://t.co/oCYUlizbNl
Email is one of the last martech layers still stuck in its own dashboard, while the rest of the stack has moved to the agent. Nitrosend is a bet that it doesn't have to be this way: a single MCP installation and the entire email layer
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Congratulations to the winners of the #DataAISummit Apps & Agents for Good Hackathon! Over two days, participants used Lakebase, Agent Bricks, and Databricks Apps to build solutions powered by data from Virtue Foundation, tackling challenges related to healthcare access and
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Good point and yes partly it's that and people vibe coding But you can also just ask AI to add more test so things keep working well You can vibe code all you want as long as you test after
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At the recent AI Infra Summit by Ignite GTM at @PlugandPlayTC they had me interview a few interesting founders. Here's Rahul Kar, founder of Hammerhead, http://
hammerheadco.ai, which is working to make power cheaper in AI datacenters. https://
youtu.be/cX-TE_PgZ3Q?si
=_uQPzVVwk9N8bA8Z
…
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It is certainly not a coincidence, I think the same thing. The question, in the end, is how fast China will release its own Mythos-class model. Almost everything depends on it.
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okay, I tried this.
— Charly Wargnier (@DataChaz) 17 juin 2026
My AI just beat me in a custom game over iMessage, hit me with a "gg bro", and asked me what we're ordering for dinner…
The future is getting interesting 🫠pic.twitter.com/cm1Zz7hnfW https://t.co/bnrXlbzSqf
okay, I tried this. My AI just beat me in a custom game over iMessage, hit me with a "gg bro", and asked me what we're ordering for dinner… The future is getting interesting
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Oh and btw big fan of @nvidia Nemotron! What makes NVIDIA Nemotron special is that it's not just another open-weight model. With Nemotron, NVIDIA provides not only the weights but also the training data, recipes, and technical details.
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Benchmarks often test biological knowledge or narrow skills. The tasks in LifeSciBench test whether models can reason from evidence, work with scientific artifacts, handle uncertainty, and make useful decisions under real-world constraints. GPT‑Rosalind scores above GPT‑5.5
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Introducing LifeSciBench, a benchmark for measuring and improving how well AI supports real-world life science research. Developed with 173 scientists from biotechnology and pharmaceutical research, LifeSciBench includes 750 expert-authored tasks across seven biological research