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We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5.
We'll begin restoring access tomorrow, and will share an update soon.
We’re grateful to our users for their patience, and to everyone who worked with us on redeploying the models.
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Starlink's high-speed, low-latency internet is now available in the Kyrgyz Republic! 🛰️🇰🇬❤️ → starlink.com/kyrgyzrepublic
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Starlink now in Kyrgyz Republic! 🇰🇬
Starlink's high-speed, low-latency internet is now available in the Kyrgyz Republic! 🛰️🇰🇬❤️ → starlink.com/kyrgyzrepublic
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'kaskad-nuntius': latin for "messenger." A trusted bearer of news.
That's the name Anton @oxidique chose for @eliottmea's oracle on-chain repos, and it's literal: a permissionless, TEE-secured messenger that delivers verifiable prices on-chain.
☑️It's now open source. Code is public ahead of mainnet.
Under the hood: a Consolidated Order Book (COB) model. Instead of pulling a single feed or a volume-weighted average, Nuntius aggregates limit order books across venues and simulates cross-exchange arbitrage exhaustion. The midpoint is the fair value.
Direct consequence: spoofing or manipulating a single venue doesn't move the oracle. Manipulation cost scales with cross-venue liquidity, not with the cost of pushing one book. The harder a real price is to fake, the harder Nuntius is to fool.
Price computation runs inside a TEE: the operator can't tamper with the output. What you read on-chain is what the trusted environment signed.
Two repos:
Infra & price processing github.com/Kaskad-Lending/ka…
Onchain EVM client github.com/Kaskad-Lending/ka…
Two delivery modes share the same signed prices:
— Push for continuous feeds
— Pull for protocols that only consume prices when they need them
Pick what fits your gas profile.
Permissionless and extendable: Anyone can run a node. Anyone can integrate. Self-hosted nodes and custom data sources plug in without forking the core. Useful beyond lending — L1, L2, DEXes, perps, structured products @kaspaunchained @Igra_Labs @kasplex
Before mainnet, we welcome community and DeFi researchers to review it. Open audit beats closed audit. Issues, PRs, DMs welcome.
Bounty program is next.
Proved cheap E2E QA automation for AI agents across web2+web3 apps/Android interactions. DOM snapshots + lookup vision pipeline.
github.com/OxideDall/qa-brow…
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We’re pleased to welcome Yuliya Krikunova (@KaiReytsu) to the Kaskad team!
Yuliya joins us as a Smart Contract Developer, bringing 6 years of software engineering experience, including 3 in blockchain development.
🧠 She holds a Master’s degree in Financial Systems and has designed secure, gas-optimized solutions across EVM-compatible networks.
👉 Yuliya will be working alongside @oxidique, @MonsieurMarius, Pierrick and @ColagrandePaul on Kaskad's smart contract development and on-chain architecture, contributing to the ongoing phase of our protocol’s Lending & Incentivization engine.
Welcome aboard, Yuliya!
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Introducing Dream Recorder — the magical bedside open-source device that plays your dreams back as cinematic reels.
Build your own dreamrecorder.ai
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First time using timer-triggered chained DMAs, where one DMA channel writes into the descriptors of another DMA channel to change what the other DMA is doing. This is just a 8x9 matrix array in a 6x12 configuration on a ch32v003, with #ch32fun github.com/cnlohr/cnhardware…
How to realize that your implementation becomes necessary complex?
You start to name classes/services/instance by animals.
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It's All in the Hips
Can we learn anything from the evolution of hip kinematics in humanoid bots?
Is there a growing consensus of the optimal design?
Yes. And there is data to prove it.
First, a primer on Hip Kinematics
🧵
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No need to pay $200 to use Operator
You can create an agent that uses a web browser without writing a line of code.
Combine DeepSeek R1 and Browser Use (free and open source) and you're good to go.
(Links and prompt below)
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DEMO TIME
SupGen is a generative coding AI... except it isn't an AI.
There is no model, there is no pre-training. You just give it some examples, and it gives you a program. It runs locally, in a single-core CPU. Oh, and it can also prove theorems.
Here's a demo, including a brief TT intro.
(The synth examples start at the 6 min mark.)