Dave Smith: Trump pulled off the greatest political comeback in American history... and squandered the entire thing for a war on behalf of a foreign country
That's it. That's the whole second term. The biggest political realignment thrown in the trash for a pedophile cover-up and a neocon war.
JUST IN: The first post-quantum resistant Bitcoin transaction was mined today.
"It required no soft forks. It required no hard forks. It required no core protocol upgrades. And it's live today."
Her advice to wait to buy for lower lows would have massively SCREWED YOU OVER
Bitcoin at $80K
She’s waiting for the $40K’s like it’s the new $12K
She’s a Layah
@rodpalmerhodl Agreed on the order, it just wasn't born a database. Databases have admins. It was born a journal. The first page was a newspaper headline, and money came after.
Who benefits from the Coldcard hack?
The Financial Industrial Complex does.
We took a hit.
We mourn the loss of those affected.
We come back stronger.
If we don’t self-custody and run nodes, we end up with BlackRockCoin in a Coinbase collateralised debt obligation.
COLDCARD Mk3 Security Advisory
If you generated a seed on a Mk3 after firmware 4.0.1, your funds may be at risk.
Mk4, Q and Mk5 are not affected based on our early analysis.
Read the advisory and migrate carefully:
https://t.co/3vgPHOjMS7
@Cryptotea 36 BTC in fees is why. They bought that space at market, from the miners securing your node.
Also: your node can’t tell a monkey from a timestamp anchor. It sees bytes. Any rule that blocks one blocks both.
Aloha! 🌺 Meet Ornith-1.0, a family of open-source LLMs specialized for agentic coding.
Ornith-1.0 spans the full parameter sizes including 9B Dense, 31B Dense, 35B MoE, and 397B MoE. It achieves state-of-the-art performance among open-source models of comparable size on coding benchmarks including:
✅Terminal-Bench 2.1(77.5)
✅SWE-Bench(82.4 on verified, 62.2 on pro, 78.9 on Multilingual)
✅NL2Repo(48.2)
✅SWE Atlas(41.2 on QnA, 42.6 RF, 39.1 TW)
✅ClawEval(77.1)
Post-trained on top of gemma4 and qwen3.5, Ornith-1.0 employs a novel self-improving training strategy in which reinforcement learning is used to generate not only solution rollouts, but also the task-specific scaffolds that drive those rollouts. By jointly optimizing the scaffold and the resulting solution, the model generate higher-quality solutions in agentic coding.😎
All models are released under the MIT license, enabling full commercial and research use.
📖Tech Blog: https://t.co/qT9N2HYWFn
🤗Huggingface: https://t.co/PRrwqjeBtM