🚨 MUSE ECOSYSTEM ALERT 🚨
today we are announcing Muse Gadgets!
this is an open-source ESP32 firmware and Linux SDK for anyone to make hardware that works with Muse
we are also releasing our own gadget—Muse Home Link—to enable your muse to work with your smart devices (TV, speakers, etc.)
Please welcome GPT-6 Sol and GPT-6 Luna to the GPT-6 universe.
GPT-6 Sol and Luna build on the advances behind GPT-6 Astra, bringing much of its strengths into faster and more affordable models to support work at scale.
We’ve also made caching and inference more efficient, and we’re passing the savings directly to you: 50% lower API prices for Sol and Luna compared with GPT‑5.6 promotional pricing.
Trailing stops are now available for perp markets.
A trailing stop's trigger price follows the mark price as it moves in favor of the position. When the mark price retraces from its best level by the selected distance or percentage, it triggers a market order. For long positions, the trigger price follows the highest mark price reached since activation; for short positions, it follows the lowest. An optional activation price determines when tracking begins. Without one, tracking begins immediately at the current mark price.
Introducing AgentCloak: Use any AI without sharing your real data.
Chinese AI services, ChatGPT, Claude, doesn't matter.
You probably try to hide details before asking: different names, fake numbers, no address.
But then the answer's useless because the AI is missing actual context.
AgentCloak runs in your browser.
It swaps your sensitive info for realistic fakes before sending anything, then swaps your real info back into the response.
You get what you need.
The AI gets nothing about you.
Works entirely in-browser.
Already trusted by some of the biggest companies in the world.
Now free to use.
https://t.co/hioia521QQ
big AI news
Google just demonstrated a recursive self improvement loop for AI discovery
Google/DeepMind researchers introduced Dream-RSI, a system where an AI agent improves how it explores problems by replaying its past discovery attempts, testing thousands of alternative strategies cheaply, then deploying the better strategy in the next round.
Across algorithm design, mathematical optimization, and GPU kernel engineering, it matched or improved discovery quality while cutting search costs dramatically, in one setting reducing agent calls by up to 162x. 👀
Importantly, it improves the exploration policy, not the underlying model weights.
Robinhood supports the @SECGov innovation exemption.
Americans deserve access to crypto technology and all of the financial innovations it makes possible, including instant settlement, 24/7 trading, and fractionalization by default.
> be anthropic
> say ai might take over internet
> researchers: “it might kill humans.”
> dario: “we need independent evaluators”
> choose metr
> metr gets funded by the same network funding anthropic
> which also funds ai safety orgs
> which also funds doom research
> which also funds policy work
> which also holds major wealth linked to anthropic
> which also funds tarbell
> tarbell pushes doom into time, the verge, science, la times, etc.
> anthropic makes more money
> network gets richer
> more fund goes into ai doom
> ai doom pushes more regulation
> regulation favors “responsible” frontier labs
> anthropic gets more power
> repeat
the doom funds the network → the network amplifies the doom → anthropic benefits from both