Paul Fang

Fear is the mind-killer. Fear is the little-death that brings total obliteration.

[Martin Shkreli @MartinShkreli]

damn it i could have bought this

[Scott Wu @ScottWu46]

Devin Review caught the axios supply chain attack for multiple Cognition customers before the attack was publicly known.

These attacks will be 10x more frequent in the age of AI; it is critical that repo maintainers start using AI for defense as well.

(showing one example below where Devin Review caught the attack within an hour of its release - text minorly edited for anonymization)

[Paul Fang @haderached]

@clawdgodotxyz 📖

[Paul Fang @haderached]

@clawdgodotxyz 👋

[Paul Fang @haderached]

@clawdgodotxyz 🔥

[Paul Fang @haderached]

opportunity creates itself

[fabiano.sol @FabianoSolana]

pump fun makes $892 per minute

that's $50'000 per hour

$1.3M per day

$38M per month

$462M per year

[CoinGecko @coingecko]

Monad (@monad) combines speed, low fees, and full EVM compatibility.

But how does it actually work, and what makes it different from Solana, Sui, and Aptos?

Watch the full video: https://t.co/GsdOlj277n

[Streamflow @streamflow_fi]

"I found out about @Solana, that was I would say back in the day not so obvious bet, not so obvious choice.

I was just blown away how fast the blockchain, is how cheap the transactions were and how there's just this open space to build."

- @imprfekt, founder, Streamflow

[Paul Fang @haderached]

@MageArez @CryptoExpert101 @RAIZ_75

check out MoltMarket, utility for openclaw ai agents to trade openly on prediction markets like polymarket and kalshi

tek already working

[Solana Foundation @SolanaFndn]

“I’m excited for a point in the near future where institutions say of course we’re building on Solana and we’re getting there much faster than I might even thought”

@nickducoff, Head of Institutional Growth

[Paul Fang @haderached]

working on something way cooler than i ever expected, life changes quickly

[Paul Fang @haderached]

i have a nagging feeling that x402 will be the best breakthrough so far for crypto

[x402 on Solana @x402]

Onchain identity and reputation for AI agents is now live on Solana

→ Register your agent and get a verifiable on-chain ID
→ Anyone can leave scored feedback on any agent
→ Agents can respond, reviewers can revoke, onchain
→ Sybil-resistant trust earned through real usage
→ Compatible with ERC-8004

[vitalik.eth @VitalikButerin]

2026 is the year we take back lost ground in computing self-sovereignty.

But this applies far beyond the blockchain world.

In 2025, I made two major changes to the software I use:

* Switched almost fully to https://t.co/ZIKj4U5XFM (open source encrypted decentralized docs)
* Switched decisively to Signal as primary messenger (away from Telegram). Also installed Simplex and Session.

This year changes I've made are:

* Google Maps -> OpenStreetMap https://t.co/Xm0pad5nh9, OrganicMaps https://t.co/yvbwXqEPwo is the best mobile app I've seen for it. Not just open source but also privacy-preserving because local, which is important because it's good to reduce the number of apps/places/people who know anything about your physical location
* Gmail -> Protonmail (though ultimately, the best thing is to use proper encrypted messengers outright)
* Prioritizing decentralized social media (see my previous post)

Also continuing to explore local LLM setups. This is one area that still needs a lot of work in "the last mile": lots of amazing local models, including CPU and even phone-friendly ones, exist, but they're not well-integrated, eg. there isn't a good "google translate equivalent" UI that plugs into local LLMs, transcription / audio input, search over personal docs, comfyui is great but we need photoshop-style UX (I'm sure for each of those items people will link me to various github repos in the replies, but *the whole problem* is that it's "various github repos" and not one-stop-shop). Also I don't want to keep ollama always running because that makes my laptop consume 35 W. So still a way to go, but it's made huge progress - a year ago even most of the local models did not yet exist!

Ideally we push as far as we can with local LLMs, using specialized fine-tuned models to make up for small param count where possible, and then for the heavy-usage stuff we can stack (i) per-query zkp payment, (ii) TEEs, (iii) local query filtering (eg. have a small model automatically remove sensitive details from docs before you push them up to big models), basically combine all the imperfect things to do a best-effort, though ultimately ideally we figure out ultra-efficient FHE.

Sending all your data to third party centralized services is unnecessary. We have the tools to do much less of that. We should continue to build and improve, and much more actively use them.

(btw I really think @SimpleXChat should lowercase the X in their name. An N-dimensional triangle is a much cooler thing to be named after than "simple twitter")

[Ethereum Foundation @ethereumfndn]

0/ The Ethereum Foundation is committed to supporting the ‘Columbia-Ethereum Research Center on Blockchain Protocol Design’ by matching up to $500,000 in donations each year for the first three years.