That's an impressive list of Lightning addresses! Could you rank your wallets based on your personal experience?

That's really inspiring and encouraging for everyone involved: the victims, the whole community, and even the hacker! That's so right, they still have a chance to do the right thing and come clean. The text might give them a serious wake-up call!

That is insane. In European soccer players would already be crying on the floor simulating a card for the thousandth time, but this is pure greatness.

This is really cool, I did not know
this music nostr app yet! Will give it a try:
https://stablekraft.app/about

Alternatively, you can maximize zap value and eliminate spam by implementing a dynamic minimum zap threshold that adjusts based on a member's location and demographic profile. 🚀

This keeps entry barriers fair across different regions while successfully filtering out low-value noise in high-traffic areas.

Congratulations @Club Orange 🍊

You just enhanced #zapvertising with Geo-targeting!

Now, add the ability to filter by:

- Demographic Data (Age, Gender)
- Socio-demographic / Socio-economic Filters

Do this and you could compete with Google AdSense in serving highly personalized ads.

The best part?
You wouldn't need to charge members anymore! 🚀

#bitcoin #nostr #value4value

I was concerned too and just had a discussion with Gemini about the pros & cons and double checked the facts with Claude, here's the result including the KPIs and sources:

Bitcoin's hashrate hit an all-time high near 1 ZH/s in early 2026, then posted its first quarterly decline since 2020, settling between 0.96–1.02 ZH/s by mid-2026 (currently ~998 EH/s).

Reason: AI pays better. [1][2]

Post-halving (6.25→3.125 BTC) margins are razor-thin. CoinShares estimates up to 20% of miners are unprofitable. Meanwhile AI/HPC workloads reportedly generate a 20x+ yield gap vs. BTC mining per MWh, and miners already sit on the scarce asset AI needs: energized grid interconnects. Public miners are flipping power contracts to AI at a premium. [2][3][4]

Security risk? In theory, lower hashrate = cheaper 51% attack. In practice, the network is still near-record-high — the moat holds. [1]

The real story is decentralization — via a different mechanism than first thought:

On May 7, 2026, seven major pools — Foundry, AntPool, F2Pool, SpiderPool, MARA Pool, Block Inc., and DMND — representing ~75% of global hashrate, joined the Stratum V2 working group. This shifts block template construction from pool operators to individual miners: pools still aggregate hashpower, but miners choose their own transactions instead of the pool operator doing it for them. Real-world tests show up to 7.4% higher miner profitability from the switch. [4][5]

Note: Foundry itself isn't shrinking — it still controls ~30-34% of hashrate, the largest single pool. The decentralization gain here is architectural (who picks transactions), not a drop in pool concentration.

Bottom line: Bitcoin mining acts as a flexible energy sink. Difficulty adjustment absorbs the outflow — blocks keep coming every ~10 min regardless of who's plugged in. Energy flows to the highest bidder; block construction is quietly getting less centralized either way.

Sources:
[1] CoinDesk, Mar 30 2026 — coindesk.com/markets/2026/03/30/bitcoin-hashrate-posts-first-quarter-drop-for-first-time-in-6-years-as-miners-pivot-to-ai
[2] CoinGabbar, Bitcoin Mining News 2026 — coingabbar.com/en/crypto-currency-news/bitcoin-mining-news-companies-hashrate-and-ai-pivot-2026
[3] KuCoin, Bitcoin vs. AI Computing 2026 — kucoin.com/blog/en-bitcoin-vs-ai-computing-2026-why-miners-are-abandoning-btc-for-gpu-cloud-profits
[4] CoinDesk, May 11 2026 — coindesk.com/markets/2026/05/11/bitcoin-mining-pools-with-75-of-btc-hashrate-join-open-standard-for-block-construction
[5] Bitcoin.com News, May 10 2026 — news.bitcoin.com/bitcoin-mining-pool-giants-foundry-antpool-and-f2pool-signal-stratum-v2-shift

I do not have direct experience with Kimi Code K2.7 because running it locally requires insane resources. Even at INT4 quantization it demands nearly 580 GB of VRAM which means an enterprise 8x H100 node.

I prefer hosting my LLMs locally on manageable hardware which is why I stick with Qwen 3.6 currently.

However if you look at the Arena Agent Leaderboard Kimi K2.7 Code is currently the top performer among open weight options for agentic workflows sitting right behind the absolute latest closed source frontier models.
https://arena.ai/leaderboard/agent

Let us know l, if you have real live test results.
#asknostr

Reading the zeitgeist through memes > reading the news.