Ramakanth Gade

Father of 3 boys, Crypto Investor, HODLer, Investor since 2016. Early investor (ICOs/Mining) in Graph, Helium, Livepeer, Solana, Stacks, Crypto Maximalist!

[c0mpute @c0mputeAI]

You can now buy decentralized, private and uncensored inference from c0mpute on https://t.co/Z8nYaVWr4M!

If you're a staker you can sell your daily inference allowance by making a special free inference API key and connecting it to POD.

[Jake Brukhman @jbrukh]

As I write, my desktop GPU is also providing inference on @darkbloomai.

I like the Device Management shim that attests to the network the machine’s hardware.

Just a matter of time before these Macs swarms are training large broken up transformer models. Stay tuned.

[Jake Brukhman @jbrukh]

As I write, my desktop GPU is providing inference on @c0mputeAI and I am earning USDC. Pretty cool.

In the future, there will be many such cases.

[Ridark @ridark_eth]

I genuinely don't understand why everyone isn't using this yet

Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain.

You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets.

Here's the whole thing:

> Install Obsidian, create a vault, open it in Claude Code

> Paste Karpathy's wiki idea file and tell Claude to build it

> Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it

> Drop any source into raw and say "ingest this"

> Ask questions across everything, forever

Five minutes to set up, and you never start from a blank chat again.

Full step-by-step guide with Claude and Obsidian, link below.

Bookmark this

[cvxv666 @antpalkin]

ChatGPT can write you a thousand trading strategies from one sentence.

999 will quietly bleed your account dry. Every single one of them looks like a winner.

One method pulls the real one out. Quant desks have run it for years. It's called loop engineering.

It's not a smarter prompt. It's a loop: generate a strategy, test it, score why it failed, feed that back, and run it again until one survives data it has never seen.

Man Group runs $150 billion. They built an AI that writes and tests hundreds of strategies a week.

And second agent whose only job is to hunt the ones that secretly overfit and kill them before a cent goes live.

> describe an idea -> backtest 5 years in 12 seconds
> read why it died -> feed that back in
> run it again until one survives data it never saw

AI can write a thousand strategies. Loop engineering is the only thing that tells you which one was ever real.

89% of retail lost money in 2025. Almost none of it from bad ideas. All of it from trading the first guess and never running it through backtest loop.

Horizon just put the whole thing in a chat box, free while the beta's open: https://t.co/qMCIUPVKGK

You're not losing to smarter traders. You're losing to the ones who opened the tab.

Anyone can generate a strategy now. Almost no one runs the loop that proves it.

That gap is the whole edge.

You'll mean to check it later. Later is a "waitlist closed" page.

[Jake Brukhman @jbrukh]

Got a small, curated list for decentralized AI training together here: https://t.co/EGC5pSMVIK

If you think I missed anyone, please reply in the comments.

[Tulsi Soni @shedntcare_]

🚨 BREAKING: China just dropped an AI employee that works 24/7 — and it's 100% open source.

Meet DeerFlow.

It researches, writes code, builds websites, creates slide decks, generates videos, and executes tasks entirely on your computer.

Not a chatbot.
Not an AI copilot.

An AI worker with its own computer.

Here's what makes it wild:

• Creates a plan and spins up multiple sub-agents in parallel
• Writes code, tests it, fixes errors, and keeps going autonomously
• Builds websites, reports, dashboards, and presentations from scratch
• Learns your preferences and improves over time
• Reads your files and delivers finished outputs, not drafts
• Searches the web, runs commands, and uses external tools

One prompt → Lead agent plans → Specialized agents fan out → Results merge → Finished deliverable.

A single task can launch dozens of agents working simultaneously while you sleep.

The craziest part?

DeerFlow 2.0 was completely rebuilt from scratch after users pushed it far beyond its original purpose.

Now it has:

⭐ 22.7K GitHub stars
🔀 2.7K forks
🏆 #1 on GitHub Trending
🏢 Built by ByteDance
🆓 100% Open Source (MIT)

We're entering the era where AI doesn't just answer questions.

It does the work.

[Vaibhav Sisinty @VaibhavSisinty]

This Indian AI lab built a voice model 95% cheaper than ElevenLabs.

And it switches between Hindi and English mid-sentence like a real person.

It's called Silk Mulberry 1.5 by Rumik AI. ₹0.40 per minute. 162 milliseconds of latency. Handles Hinglish, Tanglish, Manglish the way Indians actually speak.

Not robotic translations. Real code-switching with natural tone, pauses, and emotions.

Try it → https://t.co/kzFZVezouK

[Ramakanth Gade @ramakanthgade]

🤯🤯

[Midjourney @midjourney]

Announcing a new division of Midjourney called "Midjourney Medical"

[Garry Tan @garrytan]

If you need a website, this is the best website creator on the planet: Ploy by Bryant Chou

Drop everything and use this to improve your website now. A total redesign to your taste is at your fingertips. Try it with a side project and you'll bring it to your main project in 2 weeks or less, I predict.

[Coinbase 🛡️ @coinbase]

We started as a place to buy Bitcoin, now we power your entire financial life.

Here’s everything we announced today ↓

→ Tokenized Stocks
→ Pre-IPO Perps
→ Stock options
→ Crypto options
→ Perpetual-style equity indices
→ Crypto derivatives, back in America
→ Time-based prediction markets + Combos
→ Launches: access millions of tokens, the moment they go onchain
→ Coinbase Advisor: an AI investment advisor, built into the app
→ Coinbase for Agents: connect any AI agent to your account
→ Base MCP + x402: give your agents their own wallet
→ The new Coinbase Advanced - fully modular
→ One unified global liquidity pool
→ Coinbase One Card, now more accessible secured by USDC
→ 5% Bitcoin back on travel
→ Crypto-backed mortgages
→ Borrow against your staked ETH & SOL with new liquidation protection
→ Transfer Protections
→ New Coinbase Developer Platform
→ Full stack Coinbase Payment solution
→ B20: a Base native token standard for any asset
→ Base App on web + multichain support + all assets
→ Private transactions for enterprises on Base

See you next time.

[Elon Musk @elonmusk]

Censorship always comes with a “protect the children” lie

[Coinbase 🛡️ @coinbase]

The first real, 1:1 backed tokenized stocks are coming.

→ Own actual tokenized shares of U.S. companies
→ Trade, hold, and redeem - all onchain
→ Automatically receive dividends

No derivatives, no IOUs.

Welcome to the future of stocks.

[Quantus @QuantusNetwork]

The crypto industry is on a collision course with quantum computing.

We just published a report on where it stands, what it does to crypto, and what the industry is and isn't doing.

Introducing 👇

"The State of Quantum: What Crypto Can't Afford to Ignore"

A thank you to our co-collaborators,

@NEARProtocol
@near_intents
@quipnetwork
@cadillion
@midnightfdn
@SebastienGllmt
@KeystoneWallet
@gnosisguild
@auryn_macmillan
@terminal3io
@SwaynesWord
@tx_track

Link here 👇
https://t.co/XVsyMAdelg

[Ramakanth Gade @ramakanthgade]

@QuantusNetwork request

qznzW5DYB6nQdhDbUqNT5zFo9Y2jbYgB4GG8ZZYZJPKwW81sX

[Tom Dörr @tom_doerr]

Curates AI agents, LLMs, and trading strategies for finance

https://t.co/rUX1XIB62t

[Nayib Bukele @nayibbukele]

The key to saving the environment is not looking backward, it’s moving forward.

I realized this the first time I visited Italy twenty years ago. Everything was clean and green. The rivers sparkled. The lesson for me was obvious: the answer is not underdevelopment. The answer is progress.

When China was poor, the air was so polluted that people could barely see the blue sky. Today, blue skies have returned to their cities. Development does not only create wealth, it also provides the resources needed to restore and protect the environment.

Some environmentalists want us to preserve every aspect of our biodiversity, including the mosquitoes for example, so that researchers can fly in once every ten years from their universities (which build particle accelerators and billion-dollar laboratories with their pocket money), study our ecosystems, and count how many people died from dengue outbreaks.

They want to buy our air through carbon credits. If carbon credits were such a great deal, they would be selling them to us, not the other way around.

Cleaning every river, lake, and water source in El Salvador, and ensuring they remain clean and sparkling, would cost roughly $12 billion. Where is that money supposed to come from without economic development? Carbon credits?

The path forward for our country is the path of Japan and Singapore, not the path of the Congo.

[Ramakanth Gade @ramakanthgade]

But it is gated and only a few people are able to participate! So much for decentralization. Was fully ready with the hardware and was excited to participate only to realize that it is gated through zulip community and not everyone is allowed into it. Filled the form on June 1st and no response yet. :(

[Jake Brukhman @jbrukh]

Unlike many investors in crypto, I did not pivot to AI in the last few years. However, since 2020, I built some of the deepest understanding in this industry on the intersection of AI and decentralized networks (crypto, web3).

From the start, it was very clear that AI models are a centralizing force and the biggest target for government control. That point became market fact last night, with @AnthropicAI’s export control compliance.

As an investor in decentralized AI, I know that d-networks are a counterbalance to this state of affairs. In particular, the starting point of sovereign, open, public, decentralized AI is the seemingly insurmountable compute problem.

How are people supposed to source more industrial compute for frontier training than these huge trillion dollar companies? The answer is simple: there is enough commodity GPU compute in the world to compete on the frontier, but to make use of it we need new algorithms for training.

That’s what a few companies like @gensynai @PrimeIntellect @bageldotcom @Pluralis @NousResearch @MacrocosmosAI @covenant_ai set out to research, while everyone on the planet told them it was impossible.

The result is that it is not only possible, but it can be cheaper and nearly as efficient as the alternative process.

The second major problem is economic sustainability. Open source models are great, however, they are not economically viable as they don’t have a business model. So far in decentralized AI, only @Pluralis has an answer — by breaking up the weights of the model among participants, we create a business model for tokenized AI models.

This is the moment of truth — will AI become fully centralized and fall under censorship and unilateral government control? Or will the AI world realize the importance of public AI on open decentralized networks?

[Octav @OctavFi]

Claude fable 5 is insane 😱😱