Yusuf C . 🜂 ▮▮ 0｜1 ∞

▮ 🜂 ▮▮ 0｜1🔗｜真正的強大，是隨時喊停的自由｜應無所住而生其心｜密涅瓦的貓頭鷹在黃昏起飛｜肌力體能教練 Strength and Conditioning Coach｜To Be Yourself｜BYO₿｜Stay strong. Stay humble.(轉發、按讚、追蹤不代表認同)

[Ruben Hassid @rubenhassid]

How to duplicate your (entire) brain in Claude:

Step 1. Download the Claude desktop app.
☑ Go to claude .com/download
☑ Set Opus 4.8 as default
☑ Turn ON Extended Thinking

Step 2. Open Claude Cowork mode.
☑ Cowork = where your brain lives
☑ Click the top left tab between 'chat' and 'code'
☑ Create your "Brain" folder inside

Step 3. Install Wispr Flow (it's free).
☑ Turns your voice → text
☑ Voice = faster and more honest
☑ Typing kills the truth. Dictate your context

Step 4. Run the 100-question taste interview.
☑ Paste Prompt 1 from https://t.co/kDGBpSF7Wh
☑ 100 questions, 7 categories
☑ Push past every vague answer. Be very specific

Step 5. Compress the dump.
☑ Paste Prompt 2 from https://t.co/kDGBpSF7Wh
☑ 20,000 words cost you 4,000 tokens
☑ Save your files as about-me .md file

Step 6. Write your anti-ai-writing-style .md.
☑ Every word you refuse to see: no "delve"
☑ Kill negative parallelism ("it's not X, it's Y")
☑ Without it, Claude writes like Claude.

Step 7. Write your my-company .md.
☑ Your goals, your focus, your hard no's right now
☑ Keep it > 1,000 tokens, update once a quarter
☑ This is your north star file.

Step 8. Test it in a blank chat.
☑ Open a fresh Claude chat (point to no folder)
☑ Run a prompt only you would write
☑ If it sounds like you → ship it

Step 9. Drop all 3 files into Cowork.
☑ Move all 3 files into your "Brain" folder
☑ Claude reads them on every single turn
☑ You stop prompting your brain. Your files do it.

Step 10. Port it everywhere.
☑ Upload to ChatGPT, Grok, Gemini
☑ Same files = same brain in every AI
☑ Hand it to your team or your ghostwriter

Step 11. Edit it forever.
☑ Install Obsidian (free)
☑ Open your Cowork folder as a vault
☑ You change. So must these files.

You'll resist this. It feels reductive. It feels scary.
You've built an identity on being hard to pin down.

But the mystery, when you look at it closely, is usually just being vague.

Copy my folder & download my 3 personal .md files:

Step 1: Subscribe for free at https://t.co/psB7XxB2Y4
Step 2: You will have two choices: free or paid.
Step 3: Choose the free tier. Don't pay for anything.
Step 4: Open your welcoming email. Reply to it.
Step 5: Trace the Notion link. Open '.md files' folder.
Step 6: Access my entire folder + 3 files template.
Step 7: Send this image to your team's channel.
Step 8: Read 2x newsletter per week (for free).
Step 9: Become the "AI guy" at work, forever.

[Jordi Visser @jvisserlabs]

For some, last week felt like the beginning of an AI bubble unwind.

For me, it looked like the end of the agentic infrastructure fireworks show.

The buildout is not over.

But the easy phase where every chip, memory, power, and infrastructure name worked is probably over.

Now the rotation shifts to the next layer of Jensen Huang’s five-layer cake:

Applications.

That is where ROI shows up.

That is where specialized AI models matter.

And that is why Eli Lilly may be one of the most important AI stories in the market.

GLP-1 cash flow.
Proprietary data.
LillyPod.
TuneLab
Specialized AI.
Peptides=API Keys
Human software.

This week’s video is about why this is rotation, not a bear market and why the next phase of AI may look very different from the last one.

Watch here:https://t.co/NX74tzApzP

[Lyn Alden @LynAldenContact]

I'm imagining the bears who think that Bitcoin is so weak that if you buy 4% of it and talk a lot, you can destroy the whole network.

It's not even a person, but a group. Bought 4%.

Like, somehow the key weakness of Bitcoin is that if someone buys 4% of it, everything fails.

[Conor Harris @Conor_Harris_]

How to (actually) fix your slouched posture 👇

[Michael Saylor @saylor]

Bitcoin Maximalist: Bitcoin is the dominant digital monetary network: an ethical, technical, and economic breakthrough, and an instrument of economic empowerment. It offers superior property rights, monetary integrity, and hope to those facing economic misery.

[SightBringer @_The_Prophet__]

⚡️Bitcoin is the strongest monetary property-rights technology humanity has produced so far.

That is the part people either see or refuse to see.

Gold gave physical scarcity.

Fiat gave state liquidity.

Bitcoin gives verifiable digital scarcity with global settlement and no discretionary issuer.

That combination is why it keeps surviving.

That combination is why institutions are being pulled in.

That combination is why governments eventually have to treat it as strategic infrastructure rather than internet money.

The deepest read:

Bitcoin is not the best technology for every use case.

It is the best technology for one specific civilizational use case:

Holding monetary value outside the corruption radius of human discretion.

[SightBringer @_The_Prophet__]

⚡️Bitcoin is the first asset in modern history whose main product is refusing to die.

That is why Hal Finney’s line is so powerful.

He saw the actual mechanism before almost anyone else.

Bitcoin does not become valuable because someone promises yield, growth, dividends, guidance, or political backing.

Bitcoin becomes valuable because it keeps surviving every attempt to dismiss, ban, corrupt, fork, ridicule, financialize, and bury it.

Every day it survives, the world has to quietly update.

At $0.01, the bet was “this is probably a toy.”

At $15, the bet was “maybe this survives among weirdos.”

At $1,000, the bet was “maybe this becomes a speculative asset.”

At $20,000, the bet was “maybe this becomes digital gold.”

At $60,000+, the bet became “maybe this is a permanent monetary rail.”

The price is just the visible surface of that probability update.

Bitcoin’s real chart is not price. It is death probability collapsing over time.

That is what skeptics still do not understand.

They think Bitcoin has to keep proving itself with new arguments. It doesn’t. Time is the argument. Blocks are the argument. Halvings are the argument. Failed bans are the argument. Exchange collapses that fail to kill it are the argument. Bear markets that fail to erase it are the argument. Governments regulating it instead of destroying it are the argument. BlackRock packaging it is the argument. States discussing reserves are the argument.

Bitcoin wins by making disbelief more expensive each year.

The real genius of Bitcoin is that it turned survival into compounding credibility. Most assets need management teams to execute. Bitcoin needs the network to keep producing blocks and refusing invalid rules. That sounds simple, but simple is the point. It is a machine that converts time, energy, and consensus into monetary credibility.

Fiat credibility decays because humans keep modifying the promise.

Bitcoin credibility compounds because the promise keeps refusing modification.

That is the entire civilizational split.

Every fiat system eventually asks for trust again. Trust us through this emergency. Trust us through this deficit. Trust us through this war. Trust us through this bailout. Trust us through this inflation. Trust us through this temporary measure. Trust us through this debt spiral.

Bitcoin says: verify.

That is why it terrifies the old system. It exposes money as a credibility game and then offers a version where the rules do not need a priesthood.

The hardest truth: Bitcoin is no longer trying to become legitimate. Legitimacy is slowly being forced to route through Bitcoin.

That does not mean the path is clean. There will be crashes, confiscation attempts, custody failures, regulation, taxation, ETF paper games, political attacks, quantum fear cycles, and stupid leverage blowups. None of that changes the core. Those are stress tests.

The longer Bitcoin survives the stress tests, the more absurd the zero case becomes.

The zero case was plausible in 2010.

It is now mostly a psychological defense mechanism for people who missed the compounding of monetary credibility in real time.

Bitcoin is not just an asset anymore. It is a running referendum on whether trust in code-backed scarcity can outlast trust in political restraint.

And the answer keeps getting clearer.

Every block says the same thing:

The promise held again.

[Lyn Alden @LynAldenContact]

My June public newsletter is now available:
https://t.co/q9AWNzBSmY

The issue focuses on defining and planning for the more multipolar and volatile world we have moved into.

[Bram Kanstein @bramk]

https://t.co/Ey2l8Wjrvh

[Gipp 🦅 @gippp69]

A GIRL BOUGHT A $599 APPLE BOX AND CUT HER AI COSTS FROM $459/MONTH TO $23/MONTH. THE MAC MINI M4 IS QUIETLY BECOMING THE CHEAPEST AI SETUP IN 2026

she didn’t buy it because it looked nice on her desk. she bought it because paying for claude, chatgpt, cursor and api usage every month was getting ridiculous

the setup is simple. mac mini m4, ollama, open webui, and local models like qwen, deepseek and llama. for most daily work, that’s enough to write, code, summarize, search notes, and run private workflows without sending everything to the cloud

that’s why the math looks so good. a heavy ai stack can hit $459 a month, or $5,508 a year. the mac mini starts at $599 and uses around $3 a month in electricity. if it handles even 70 to 80% of the workload, it pays for itself fast

install ollama, point your tools to localhost, and the workflow changes immediately. no token stress, no rate limits, no wondering where your files are going

you still keep one cloud model for the hardest tasks

but once a small box on your desk does most of the work, paying full price for everything starts to feel stupid

[Joe Burnett, MSBA @IIICapital]

I just published: Is Bitcoin Dead?

Read it here: https://t.co/PmD85SU9MX

[Anthony Pompliano 🌪 @APompliano]

Not enough people are talking about physical AI and robotics.

I sat down with @rewkang, one of the best investors of the last decade, to discuss his massive bet on humanoids and robotics.

He breaks down the industry, the addressable market, multiple leading companies, and why he launched a publicly-traded fund ($BOT) focused on investing in the top private robotics companies.

YouTube: https://t.co/aBFxTzP2Kg
Apple: https://t.co/9KnbfWL6Wv
Spotify: https://t.co/ZVRprV7bdT

TIMESTAMPS:
0:00 - Intro
1:28 - Why Andrew shifted from crypto to humanoid robots
3:58 - How big is the total addressable market?
8:08 - Building conviction — the $19M bet on Figure AI
16:06 - US vs. China — who wins the robot race?
28:08 - General purpose vs. specialized robots
31:05 - Where does training data come from?
40:24 - Humanoid robots in your everyday life
43:27 - Can Tesla & Elon win the humanoid race?
46:19 - Job displacement & UBI
51:15 - RoboStrategy — the publicly traded venture fund
1:11:17 - What is exciting about Apptronik?
1:13:24 - Addressing the critics

[NewLimit @newlimit]

Following breakthrough results, we’re bringing longevity medicine to human trials.

We’ve raised a $435M Series C led by @foundersfund to make it happen.

Reprogramming cell age has the potential to create more healthy years for everyone. We're closer than ever to realizing it.

[Brian Armstrong @brian_armstrong]

Aging is arguably the root cause of most major diseases (loss of function in our cells). Four years ago, we made a bet that aging was treatable, and NewLimit was born.

NewLimit now has a prototype drug that reverses the age of some human cells (restores function they had when they were younger), and a clinical trial scheduled for next year (with more drug candidates in the pipeline).

Grateful to Founders Fund, Thrive, Greenoaks, and the rest of the investors for this latest round. @jacobkimmel and the team are just getting started.

[Joe Burnett, MSBA @IIICapital]

Bitcoin is approaching a tipping point, and almost nobody sees it coming.

The BlackRock bitcoin ETF was one of the most successful ETF launches in history. We now have publicly traded companies issuing low-volatility USD instruments to buy bitcoin. We have the President of the United States saying America will be the bitcoin capital of the world, while the USD debt crisis only continues to worsen.

At the same time, many bitcoiners’ sentiment is absolutely terrible. They think the ETFs are a negative. They think issuing low-volatility USD instruments to acquire bitcoin is a negative.

I believe that view is deeply mistaken. The hive mind of market participants operating in open, free public markets is learning it can print abundant, low-volatility USD instruments to acquire an absolutely scarce asset.

Be prepared to possibly watch bitcoin melt faces over the coming 12 to 24 months.

[Marco @maarcoofdezz]

Acabo de encontrar un proyecto open source que me hizo parar de hacer scroll de inmediato.

En serio.

Ojalá haber encontrado esto antes.

Se llama Everything Claude Code.

Al principio pensé que era solo una recopilación de prompts o plantillas comunes envueltas en un nombre atractivo.

Resulta que cuando lo miré más a fondo, esto es mucho más loco de lo que imaginé.
Básicamente, ya han preparado casi todo lo que normalmente tendrías que configurar tú mismo durante días e incluso semanas.

Lo que me pone aún más emocionado:
> 30 agentes de IA listos para usar
> 64 habilidades integradas
> 33 comandos para diversos flujos de trabajo de codificación
> AgentShield con 1.282 pruebas de seguridad integradas
> Planificación, revisión de código, corrección de bugs, TDD, hasta optimización de tokens
> Soporte para Claude Code, Cursor, OpenCode y Codex CLI

Todo esto es open source.
Gratis.
Se puede usar de inmediato.
Si alguna vez has pasado horas armando flujos de trabajo de codificación con IA por tu cuenta, buscando el agente adecuado, configurando comandos o montando el entorno desde cero, vas a entender por qué estoy tan entusiasmado al encontrar este repo.

Se siente como hallar una caja de herramientas que ya viene completa antes de empezar a construir algo.
Esto no significa que esta herramienta vaya a hacer que todos tus proyectos sean exitosos automáticamente.
Pero claramente puede ahorrar un montón de tiempo que normalmente se gasta en setups y experimentos.

Honestamente, este es uno de los repos de IA más interesantes que he encontrado en las últimas semanas.

Si te gusta programar con IA, guarda este post ahora mismo.

Tengo el presentimiento de que en unos meses este repo va a estar en la lista de herramientas que usan miles de desarrolladores todos los días.

[Rowan @5060fit]

Excellent slow/heavy and rotational rev lunge variants here by David. These have always been in my programme.

For athletes and anyone that wants to remain strong and agile as they age, these belong in yours too.

I layer dynamic/plyometric unilateral movements on top to enhance soft tissue capacity and power production. Some examples here:

[SightBringer @_The_Prophet__]

⚡️The political class is beginning to admit the white-collar repricing out loud.

That matters because for years the public story around AI was productivity, innovation, tools, copilots, efficiency, and “workers will be augmented.”

That language was designed to keep the social contract calm while the labor model started changing underneath it.

Now the language is moving.

When a senior political figure starts saying AI could replace millions of white-collar workers and destabilize societies, the issue has crossed from tech-sector narrative into regime-risk territory.

This is no longer being framed as a software upgrade.

It is being framed as a social stability problem.

That is the phase shift.

The most important part is the white-collar angle. Blue-collar automation was already absorbed into the public imagination. Factories, robots, manufacturing displacement, logistics automation. People had a story for that. But white-collar displacement hits the legitimacy core of the modern professional system.

College.

Credentials.

Email jobs.

Analysts.

Consultants.

Lawyers.

Coders.

Designers.

Middle managers.

Administrative staff.

Finance people.

Marketing teams.

Operations teams.

The entire professional ladder was built on the idea that cognitive labor was safer than physical labor. AI attacks that belief directly.

That is why the word “destabilize” matters. The danger is that millions of educated people discover that the credential bargain was weaker than advertised. They did what the system told them to do, bought the degree, built the resume, entered the corporate track, and then the machine reprices the track itself.

That creates a different kind of anger.

Blue-collar displacement produced populism.

White-collar displacement produces institutional betrayal.

The real downstream consequence is that society starts splitting into three groups:

People who own the AI systems, equity, data, distribution, infrastructure, energy, chips, platforms, and capital.

People who use AI to become much more productive and convert that productivity into ownership.

People whose work gets compressed, monitored, deskilled, or eliminated while being told to “reskill.”

The third group will be the largest.

That is the instability.

“Learn new skills” is true but incomplete. The deeper requirement is not just skills. It is leverage. Ownership. Distribution. Judgment. Taste. Relationship capital. Capital allocation. Ability to turn output into claims.

A worker who learns another tool but remains wage-dependent is still inside the same trap. A worker who uses AI to build assets, businesses, IP, audiences, systems, or ownership claims has a chance.

The political class is starting to realize this because the labor-market story is becoming too obvious to hide. AI does not have to replace everyone to break the bargain. It only has to reduce marginal demand for enough professional labor that wages, hiring power, promotion ladders, and job security start compressing.

That has already begun.

[Khairallah AL-Awady @eng_khairallah1]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Joey Bergles @JoeyBergles]

4 Plyometric Drills For Athletes