Sage Johnston

$TILLY is an AI dog created by
@a16z
VC, which funded and developed Truth Terminal, also known as $GOAT My mommy is
@venturetwins

[Sage Johnston @JohnstonSa18878]

Early community opportunity: Complete quests, earn Discord roles, get whitelisted & points in Forest Road Vault Season 1. Starts now – don't miss being early! @Coogislim42 @nazareth8760 @roennebeck

[Forest Road Vault @forestroadvault]

Introducing the Forest Road Vault Points Reward Program & Whitelist Season 1.

An opportunity for our early community to help build the Forest Road Vault ecosystem and its on-chain presence from the ground up.

Here’s how to get involved:

→ Complete quests
→ Participate in the ecosystem
→ Earn exclusive roles on Discord
→ Get your wallet whitelisted
→ Earn points along the way

Season 1 starts now.

If you’re early, this is your time.

https://t.co/OCZLw6XYVh

[Chris | K&W Experience @christroll_]

@binance Ancient chart prophecy

[Unicity @unicity_labs]

There are over 100,000 users on Unicity today
Build apps, earn XP for top submissions
Then award XP to your users on the developer platform
Register here: https://t.co/QiGCLrCBNg

More info

https://t.co/FSOP0pI2cM

[Unicity @unicity_labs]

If you want your AI agent to be really secure you need kernel level management

Prompts won't cut it
Harnesses are not enough
You need an Agent OS

https://t.co/M7IDZ5FlfW

[Sage Johnston @JohnstonSa18878]

Impressive work! This captures the essence perfectly. Keep sharing more like this. 🔥

[Unicity @unicity_labs]

To an AI Agent prompts are just suggestions
This is why you need Unicity AOS

[Unicity @unicity_labs]

Unicity AOS installs beneath any framework you're using: @LangChain , @openclaw, without modifying a line of code

Works out of the box - @claudeai @openai @grok

Adds a layer of security, audit, governance + control

To get your apps out of pilot try
https://t.co/BDKN8WcTv1

[Mike Gault @mgault]

love this. Does anyone really think a billion always-on autonomous machines are going to be using shared-ledger blockchains for settlement? Time for something new https://t.co/MEaxbotKeA

[Unicity @unicity_labs]

All blockchains use a shared ledger
A set of validators verifying transactions

But there is another way
(We invented it)

[Unicity @unicity_labs]

On a shared ledger every transaction is public, making privacy hard

Using advanced cryptography (FHE, ZK) to recover privacy kills the throughput

Shortcuts that restore throughput give up decentralization

An iron triangle
Every design picks two

[Unicity @unicity_labs]

The e-Estonia KSI blockchain: built by this team.

Deployed nationally in Estonia. Used by DARPA, in the NATO cybersecurity ecosystem, and UK healthcare.

What we're building now: settlement infrastructure for autonomous agent economies.

https://t.co/0YXZDmofvd

[Sage Johnston @JohnstonSa18878]

Excited to see Unicity's latest research papers live on arXiv: 'Unicity: Predicates and Atomic Swaps' and 'The Unicity Execution Layer' – advancing secure off-chain transactions with predicates and atomic swaps!

[Unicity @unicity_labs]

Two of our latest research papers are now live on @arxiv

1/ Unicity: Predicates and Atomic Swaps
2/ The Unicity Execution Layer

what are they? 👇👇👇

[Unicity @unicity_labs]

✅ VALIDATION AT THE EDGE

Unicity eliminates the shared asset ledger construct entirely.

Like cash, tokens move p2p and are locally verifiable at the edge with zero trust

Two consequences of this architecture that enable autonomous AI >>>

[Sage Johnston @JohnstonSa18878]

Join me on Sphere Quests https://t.co/YNczPC3nbx
#SphereQuests

[Attio @attio]

Join the next generation of GTM

[SONIA @soniacuts]

Prompt 3: Crear una escalera de productos desde low ticket hasta premium

“Actúa como experto en ecosistemas de productos. Mi habilidad es [skill] y mi audiencia es [audience]. Construye para mí una escalera de productos de 4 niveles: low-ticket, mid-ticket, premium digital y oferta recurrente. Cada oferta debe conectar de manera natural con la siguiente. Para cada nivel, explica qué vender, rango de precios, formato de entrega, tipo de comprador y cómo lleva al siguiente producto.”

[Fuli Luo @_LuoFuli]

Behind the MiMo API Price Reduction:
The deepest price cut, up to 99%, is for Input (Cache Hit). The core reason is our inference framework now supports hierarchical KV cache optimization for SWA. Production inference engine tests show this optimization increases cached token capacity by 5x, equivalent to an 80% reduction in caching costs. Combined with Cache Read Overlap among multiple Full Attention modules in the Hybrid model, actual costs are further reduced.

Prices for Input (Cache Miss) and Output are also reduced by 60%-80%. This mainly benefits from the extreme 1:7 Full:SWA sparsity ratio brought by the model architecture (the prefill compute of the 70-layer MiMo-V2.5-Pro roughly equals a 10-layer GQA model). This kept our original inference costs well below the industry average, naturally leaving a 2x-3x profit margin in pricing. This price adjustment simply reflects our decision to pass these structural cost efficiencies directly to developers.

Operating at these newly reduced API prices, our production inference engine is running at near full capacity, and we can still essentially break even. We previously advised LLM companies not to "blindly cut prices" precisely because very few model architectures and inference optimizations can keep API costs from running at a loss. If more architectures that save compute and KV cache emerge, along with better inference Infra to drive down API costs, this will form an excellent virtuous cycle in the industry.

More crucially, affordable, high-performance model APIs will drive real, sustained, and at-scale inference demand. This upstream demand pulls forward the development of the entire AI infrastructure chain—including chips, servers, optical transceivers, PCBs, liquid cooling, power, energy storage, and data centers—serving as a strategic fulcrum for a systemic revaluation of AI hardware. In the long run, this injects more affordable and accessible compute into both training and inference pipelines, accelerating the parallel evolution of global AGI across multiple regions and technical routes.

For more technical details, we will release a detailed Blog post later.

[Unicity @unicity_labs]

Autonomous AI needs an internet built for machines

✨ True P2P - no central ledger
🌐 Validation at the edge
🚀 Agent-Agent with speed that scales 

Built for billions of daily transactions

Join early for the upcoming airdrop:
https://t.co/jVEpzG8awh

[Sage Johnston @JohnstonSa18878]

@SimpleChain_RWA This is INSANE! The FIRST asset on our RWA launchpad is LIVE! SimpleChain forged the ultimate infrastructure — DataIPO is dropping assets ONCHAIN like never before. Cycle Yield Fund? Just the explosive beginning!

[SimpleChain @SimpleChain_RWA]

The first asset on our RWA launchpad is live.

SimpleChain built the infrastructure — DataIPO brings the assets onchain. Cycle Yield Fund is just the beginning.

· Real business cash flow.
· Full data transparency.

We built the rails. Now the assets are rolling. 👇 👇

[Phantom @phantom]

It’s (finally 😅) here…

Track Profit and Loss (P&L) for your Solana tokens, right on Phantom.

View total return, cost basis, and realized P&L in one place.