🚨 BREAKING: New records prove disgraced Special Counsel Jack Smith not only obtained FINANCIAL RECORDS from EVERY DAY AMERICANS donating to Republicans — but Smith spied on communications between JOURNALISTS and GOP or Trump-aligned officials, per Fox
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Task for today Tuesday:
Don't Give it to anyone the power to Ruin your Day!!!!
YOU ARE ALWAYS SPECIAL
#HappyTuesday#
#Tuesdayvibes# #godmorningtuesday#
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Raven 0.2.0 — The Harness of Harnesses, built for RSI. 🐦⬛
One harness can't be best at everything. Raven combines its own specialist harnesses (Research, Code, Design, Oncall) with the agents you already use (Claude Code, Codex and more) into one team.
And it's built for RSI, and not just at the skill level. The whole harness can be rewritten by AI: prompts, policies, strategy code, playbooks. Every sub-harness, including the orchestration layer itself, is its own instance that can be improved.
With Raven you can:
1. Orchestrate many agents as one team. Raven's sub-harnesses and external agents work in one task graph with shared memory across sub-agents, powered by leading orchestration (0.963 Node F1 on the Multi-Agent Orchestration Benchmark).
2. Run long, complex tasks. Oncall and proactive execution keep work going for days, from scientific research loops to shipping a full Godot game.
3. Build vertical agents with RSI. Use Raven's RSI to develop and refine an agent for your domain, and we'll optimize it with you. Experimental for now; reach out to the Raven team(Discord:
More in the video and slides below. Open source, Apache-2.0.
(lots of work made with Raven lives there, and much of this launch's material was made with Raven too)
"He’s got all the tools to be successful in this league... AJ has a special talent."
At Wizards Media Day, Anthony Davis praises rookie teammate AJ Dybantsa, and highlights his role as a mentor for the first-year player 🤝
Testing out some of the mobile offline local knowledge apps that people have been trying to build
(see here )
Definitely getting much better than the one I tried to build myself 2 months ago. But also still much slower and less effective at difficult questions than the models that can run on a laptop.
It's weakest at specialized travel-related queries (eg. my eval is "Tell me the best vegan restaurants in [city I am currently in]", unfortunately none of these performed well on that)
Looking forward to seeing these continue to improve! I hope we can soon get to the point where you can comfortably look up any facts about the world that you care about without needing to access the internet at all.