saing.btc

Toward Peace, Security and Bitcoin.
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[Sahil Bloom @SahilBloom]

Everyone needs to read this...

The Crab Mentality

(a visual thread)

[saing.btc @saingsab]

Is there a #Bitcoin or Web3 community here in Vientiane?

[saing.btc @saingsab]

@BinanceHelpDesk Thanks, Its back not sure maybe the network issue in a few hours

[saing.btc @saingsab]

Can not access to Binance app from cambodia @binance is everything Ok?

[saing.btc @saingsab]

@tetherwallet @btc @tether Wahh free Sats please to [email protected] Thanks to @tether and @btc

[saing.btc @saingsab]

If you likely to make #Bitcoin everyday money start with Nostr.

[saing.btc @saingsab]

Happy Khmer New Year!
Here's my wallet info for you to send funds!
Username: [email protected]

[saing.btc @saingsab]

keep my Kid saving in Bitcoin little sats but strong faith.

[Bitcoin News @BitcoinNewsCom]

BEWARE TRAVELING TO 🇭🇰 HONG KONG WITH BITCOIN HARDWARE WALLETS

Hong Kong has updated enforcement rules under the National Security Law as of March 23, 2026.

Refusing to provide passwords or decryption assistance to police is now a criminal offense, covering ALL personal devices including phones, laptops, and likely hardware wallets.

The rule applies to everyone in Hong Kong, including US citizens, even if only transiting through the airport.

Authorities also have expanded powers to seize and retain devices they claim are linked to national security investigations.

Travelers are advised to understand the risks before entering or transiting through the region.

[saing.btc @saingsab]

@RunwithBitcoin Nice to be back Paco, you look so much healthy!

[saing.btc @saingsab]

Look at my weekly chart!
I never stop stacking the Sats.

[saing.btc @saingsab]

@ahammer__ Start with Bitcoin is good.

[Andrew Ng @AndrewYNg]

Job seekers in the U.S. and many other nations face a tough environment. At the same time, fears of AI-caused job loss have — so far — been overblown. However, the demand for AI skills is starting to cause shifts in the job market. I’d like to share what I’m seeing on the ground.

First, many tech companies have laid off workers over the past year. While some CEOs cited AI as the reason — that AI is doing the work, so people are no longer needed — the reality is AI just doesn’t work that well yet. Many of the layoffs have been corrections for overhiring during the pandemic or general cost-cutting and reorganization that occasionally happened even before modern AI. Outside of a handful of roles, few layoffs have resulted from jobs being automated by AI.
Granted, this may grow in the future. People who are currently in some professions that are highly exposed to AI automation, such as call-center operators, translators, and voice actors, are likely to struggle to find jobs and/or see declining salaries. But widespread job losses have been overhyped.

Instead, a common refrain applies: AI won’t replace workers, but workers who use AI will replace workers who don’t. For instance, because AI coding tools make developers much more efficient, developers who know how to use them are increasingly in-demand. (If you want to be one of these people, please take our short courses on Claude Code, Gemini CLI, and Agentic Skills!)

So AI is leading to job losses, but in a subtle way. Some businesses are letting go of employees who are not adapting to AI and replacing them with people who are. This trend is already obvious in software development. Further, in many startups’ hiring patterns, I am seeing early signs of this type of personnel replacement in roles that traditionally are considered non-technical. Marketers, recruiters, and analysts who know how to code with AI are more productive than those who don’t, so some businesses are slowly parting ways with employees that aren’t able to adapt. I expect this will accelerate.

At the same time, when companies build new teams that are AI native, sometimes the new teams are smaller than the ones they replace. AI makes individuals more effective, and this makes it possible to shrink team sizes. For example, as AI has made building software easier, the bottleneck is shifting to deciding what to build — this is the Product Management (PM) bottleneck. A project that used to be assigned to 8 engineers and 1 PM might now be assigned to 2 engineers and 1 PM, or perhaps even to a single person with a mix of engineering and product skills.

The good news for employees is that most businesses have a lot of work to do and not enough people to do it. People with the right AI skills are often given opportunities to step up and do more, and maybe tackle the long backlog of ideas that couldn’t be executed before AI made the work go more quickly. I’m seeing many employees in many businesses step up to build new things that help their business. Opportunities abound!

I know these changes are stressful. My heart goes out to every family that has been affected by a layoff, to every job seeker struggling to find the role they want, and to the far larger number of people who are worried about their future job prospects. Fortunately, there’s still time to learn and position yourself well for where the job market is going. When it comes to AI, the vast majority of people, technical or nontechnical, are at the starting line, or they were recently. So this remains a great time to keep learning and keep building, and the opportunities for those who do are numerous!

[Original text; https://t.co/zbIhZHfCC0 ]

[Polymarket @Polymarket]

BREAKING: Cloudflare.

[Michael Saylor @saylor]

The Rules of Bitcoin
1. Buy Bitcoin
2. Don't Sell the Bitcoin

[DAN KOE @thedankoe]

https://t.co/kfa0CkvdgU

[Tom Dörr @tom_doerr]

Guide for hardening Linux servers

https://t.co/sp4eEBvN8e

[saing.btc @saingsab]

I don't like long context writing but I have to:
https://t.co/SVWlqodW7G

[saing.btc @saingsab]

https://t.co/80Cc55z0ny

[saing.btc @saingsab]

https://t.co/80Cc55z0ny

[Pandit | Ξ🦇🔊 @panditdhamdhere]

Mastering Ethereum 2.0

read the book.
https://t.co/tlJX9UEQXp