The thesis is simple: the future belongs to individuals who build compounding AI systems, not to individuals who use corporate-owned centralized AI tools.
I'm trying to build these in open source so you can have them for free. That's what GBrain is.
The Linux comparison is actually spot on. But just like early Linux, the gap between "powerful" and "production-ready" is where most teams get stuck. Self-hosting OpenClaw means managing updates, security patches (the ClawHavoc supply chain attack hit 9K instances this month), and API costs that can easily run $200-600/mo depending on model usage. The real opportunity right now is managed hosting that abstracts all that away — let teams focus on building agents, not maintaining infrastructure.
Thank you Mr. President for everything you’re doing to make the US the crypto capital of the world!
Building the future of financial services is critical for America vs China and other foreign competitors.
Jack Dorsey just cut 40% of Block.
4,000 people. Gone. Replaced by AI.
He said most companies are "late" to do the same 👀
This isn't a layoff. It's a signal.
The builders who learn AI now won't be replaced by it.
Start today 👇
https://t.co/4vdh2cEmzQ
We ranked every free AI chatbot worth using in 2026.
Real tests. No sponsored picks. Full breakdown.
👉 https://t.co/5ppHlIPqU1
Stop overpaying. Start building 🔥
Change your perspective 💬
Stop asking AI yes or no questions.
You're leaving 90% of the value on the table.
Instead, show it examples of what you actually want 🧠
→ Paste a writing sample and say "match this tone"
→ Drop in a screenshot and say "build this"
→ Feed it your last 10 emails and say "draft the next one"
The better your input, the better the output. Every time.
Try it now 👇
https://t.co/Jp5CnkakdH
Stop telling AI what you want.
Start SHOWING it.
Paste an example of the output you need. A writing sample. A format. A screenshot.
AI mirrors what you give it. Vague instructions get vague results. Real examples get real output.
One good example > ten paragraphs of instructions 🧠
👉 https://t.co/Jp5CnkakdH
90% of people using AI repeat themselves every single conversation.
Custom instructions exist for a reason.
Set your tone, context, and preferences once. Every response after that is tailored to YOU without lifting a finger.
Most people skip this. The ones who don't? They get 10x better outputs from the exact same models.
Stop starting from scratch every time 🧠
👉 https://t.co/Jp5CnkakdH
For creative writing and brainstorming: Claude is still king. Natural tone, fewer hallucinations, and it actually pushes back on bad ideas instead of just agreeing.
That alone is worth switching for.
The biggest gap isn't intelligence. It's context window.
Some models forget what you said 10 messages ago. Others can hold an entire codebase in memory.
This matters more than any benchmark score.
For Python: Claude 3.5 Sonnet still leads on complex logic and debugging. 92% first pass accuracy on our benchmark of 200 real world tasks.
But it's not the full picture.
🔥 Something's cooking...
We're bringing @OpenClaw agents to Perspective AI.
Powerful AI agents. One click to deploy.
Sign up now 👉 https://t.co/4vdh2cEmzQ
What if traditional markets and crypto traded on the same rails?
@avantisfi is a perpetuals exchange for everything.
Gold. Oil. Forex. Crypto. All leveraged, all onchain, all on Base.
This week on Base:
News
■ AI agents like @clawdbotatg and @moltbook are proving autonomous agents can ship onchain
■ @tryfomo saw $70M+ in trading volume on Base this week, with over 18,000 unique traders active and more than 1,800 new traders joining the ecosystem.
■ @upshot_cards announced it will return its entire $50,000 Base grant directly to users, redistributing the funds to early believers and future players to keep upside flowing to the community.
■ @noise_xyz is hiring a Design Engineer to build high-craft interactions as it develops markets for internet attention on Base.
■ @0xRowbo demonstrated a real-world USDC payment on Base using @Xeno_Money, showing how onchain payments now feel as simple as everyday transactions.
■ @royaltiz_off announced its upcoming launch, bringing athlete trading to the ecosystem with $15M in revenue and over 200 athletes already signed.
■ @tradible shared why it chose Base to build its collectibles marketplace, citing scalable infrastructure and alignment with the future of consumer crypto.
Launches
■ @o1_exchange released its trading API, offering enterprise-grade routing designed to recover MEV and deliver better execution for onchain trades.
■ @EtherealLabs_ joined the Base Services Hub as an onchain development agency, with recent work including smart contracts and marketplaces for @sportfun and @playchronoforge.
■ @HydrexFi rolled out a full onchain trading suite on Base, including limit orders, DCA, multi-swaps, and smart routing across pools.
■ @BreakoutApp launched an attention trading platform, turning engagement into a tradable asset.
■ @marbulaonegame went live with strategy-driven races, real prizes, and free-to-play competitions.
■ @NetworkNoya launched the first voice-powered DeFi interface on Base, letting users swap, bridge, and deposit into omnivaults using spoken commands.
■ @ValeYield introduced their simplified yield interface that routes users across Base-native yield sources with transparent fees and clean UX.
■ @SkaleNetwork enabled USDC purchases on Base for PGA Tour Rise.
■ @soon_svm launched 100xSOON, the first x402-powered, AI-native perpetual trading platform live on Base, bringing x402 into consumer trading.
■ @Overtime_io reflected on one year of building, highlighting how @baseapp distribution accelerated its growth and made mobile-native onchain consumer apps possible.
■ @frenwtf launched Farm Frens on the @baseapp, bringing a casual onchain farming game with real rewards to mobile users.