1/ Your bank charges you fees and says "thank you for your loyalty."
Crypto cards in 2026 literally pay you to exist.
I ran the real numbers on etherfi, Bybit, Cryptocom and Nexo - not the marketing numbers.
The winner isn't who shouts loudest. Thread 🧵
‼️Important Security Notice!
We have identified scammers impersonating MH Ventures team members via fake accts & unsolicited DMs.
The MH Ventures team will never request funds, seed phrases, or private info through DMs.
Do not engage. Report & block these accounts immediately.
🚨 Important Security Alert for MH Ventures Portfolio Companies & others
We've seen a surge in sophisticated phishing emails impersonating, Berkower LLC.
They attach or link to a fake “MH Ventures - Audit Confirmation Request Form” and ask you to sign/return it.
Key red flags:
Fake domain: https://t.co/LJgwMtp31v (real Berkower is https://t.co/KJfDVUCrFt)
Sender “Seyma Altinsoy Korkmaz” is not part of the real Berkower team
Do not click any links
Do not open attachments
Do not sign or reply to these emails
Notify MH Ventures immediately if you receive one of these emails.
You can also verify directly with Berkower via their official site: https://t.co/KJfDVUCrFt
Building apps used to require code, cloud accounts, and centralized providers watching your every prompt.
That era just ended. Meet 0G App, the ultimate hub for decentralized AI.
Prompt to app. Verified inference.
🐼 Try the Desktop App now → https://t.co/8NuvrCiD4V
Introducing the Agent Virtual Machine (AVM)
Think V8 for agents.
AI agents are currently running on your computer with no unified security, no resource limits, and no visibility into what data they're sending out. Every agent framework builds its own security model, its own sandboxing, its own permission system. You configure each one separately. You audit each one separately. You hope you didn't miss anything in any of them.
The AVM changes this.
It's a single runtime daemon (avmd) that sits between every agent framework and your operating system. Install it once, configure one policy file, and every agent on your machine runs inside it - regardless of which framework built it. The AVM enforces security (91-pattern injection scanner, tool/file/network ACLs, approval prompts), protects your privacy (classifies every outbound byte for PII, credentials, and financial data - blocks or alerts in real-time), and governs resources (you say "50% CPU, 4GB RAM" and the AVM fair-shares it across all agents, halting any that exceed their budget). One config. One audit command. One kill switch.
The architectural model is V8 for agents. Chrome, Node.js, and Deno are different products but they share V8 as their execution engine. Agent frameworks bring the UX. The AVM brings the trust. Where needed, AVM can also generate zero-knowledge proofs of agent execution via 25 purpose-built opcodes and 6 proof systems, providing the foundational pillar for the agent-to-agent economy.
AVM v0.1.0 - Changelog
- Security gate: 5-layer injection scanner with 91 compiled regex patterns. Every input and output scanned. Fail-closed - nothing passes without clearing the gate.
- Privacy layer: Classifies all outbound data for PII, credentials, and financial info (27 detection patterns + Luhn validation). Block, ask, warn, or allow per category. Tamper-evident hash-chained log of every egress event.
- Resource governor: User sets system-wide caps (CPU/memory/disk/network). AVM fair-shares across all agents. Gas budget per agent - when gas runs out, execution halts. No agent starves your machine.
- Sandbox execution: Real code execution in isolated process sandboxes (rlimits, env sanitization) or Docker containers (--cap-drop ALL, --network none, --read-only). AVM auto-selects the tier - agents never choose their own sandbox.
- Approval flow: Dangerous operations (file writes, shell commands, network requests) trigger interactive approval prompts. 5-minute timeout auto-denies. Every decision logged.
- CLI dashboard: hyperspace-avm top shows all running agents, resource usage, gas budgets, security events, and privacy stats in one live-updating screen.
- Node.js SDK: Zero-dependency hyperspace/avm package. AVM.tryConnect() for graceful fallback - if avmd isn't running, the agent framework uses its own execution path. OpenClaw adapter example included.
- One config for all agents: ~/.hyperspace/avm-policy.json governs every agent framework on your machine. One file. One audit. One kill switch.
Introducing Matrix
I crawled 100,000+ agents, skills and tools to train a new model which can answer what capabilities are the best match for a task.
Think Google, but for agents.
A living model that learns from the gossiping network, and gets smarter with every interaction.
ICYMI - 0G Introduces Sealed Inference:
"AI agents read your entire codebase now. Your source code, your keys, your business logic. Privacy at that level can't be a policy promise. It has to be enforced by the architecture. That's what Sealed Inference does: the hardware itself prevents anyone from seeing your data during processing. Not us, not the node operators, not anyone." - @aytunc - Chief Growth Officer
I just uncovered a great story of DeFi builders executing.
When the bear market hits, you always learn who's serious about building long-lasting DeFi and who's not.
I would implore you to take a second look at @gaib_ai.
The protocol currently has:
+ Over $20M in stablecoin deposits
+ $19.9M in sAID (staked AID) earning yield
+ Current gross yield = 14.46% (all real yield)
+ 20% fee on all interest paid goes to GAIB treasury
+ Leaving 11.6% APY real yield for sAID holders
+ 99% of this liquidity issued on Ethereum
+ Of the $20M in liquidity, $19.4M has been issued across 2 loans, which is why the real yield is possible (see screenshot from attestation report as of Feb 2nd).
GAIB is working--private credit for neocloud providers (ie AI data centers). Meeting insane demand for loans to expand and grow data centers.
Also, for anyone rightfully concerned about the risk of default, there are 3 ways GAIB protects its lenders:
+ Legally enforceable contracts
+ Credit default insurance
+ GPU-backed loans (which was always the pitch)
And they're issuing more loans soon, I don't know how much and what date, but they've got a huge pipeline of borrowers they're working through with LPs excited to meet borrower demand.
This is what bear markets are for--discovering and reinforcing the builders who build real value onchain.
And the GAIB token currently trading at $30M FDV, isn't some worthless governance token, it's already accruing value through a 20% platform fee, with ample room to grow profits.
Introducing the 0G Apollo Accelerator.
This is the biggest invitation for builders in decentralized AI history. 0G is providing up to $2M in funding per team, $200K in @googlecloud credits per team, and special access to @privy_io, with more to come.
It's time to build on 0G 👇
we have built a product exponentially more powerful than the one I demo-ed in SF last august. this is our product roadmap progression:
> agentic-os release (March 2026): where it all comes together. more lines of code than Openclaw, using it's own brain (not Claude Code). likely one of the most craziest and ambitious software systems ever synthesized (productizing it phase)
> hyperdev-1 agent (Aug - Sept 2025): pre-dated Openclaw with a highly opinionated and optimized Claude Code setup running on a powerful machine with local models, full system access - optimal combination of powerful software and hardware to do useful things rapidly (fun/experiment phase for me)
> agentic-os vision (July - Aug 2025) going beyond just the agentic browser; demos showed orchestrating multiple CLIs, spatial UI, in-built browser automated navigation, local graph memory, all integrated into one (hey everybody build this and everything here)
> agentic network: collaborative peer-to-peer network (May 2025); built the largest adhoc network of connected agents in the world each bringing their verified compute with over 2 million unique machines registered (it is possible to build the next bittorrent, but for ai agents)
> agentic browser vision (Dec 2024) going beyond individual AI apps: what does the right UI look like, how extensive the software should be, use cases (think of what comes after the browser)
> collaborative DAG-based multi-agent co-ordination (Sept 2024); key insight: orchestrating multiple models and agents yielded comparable results to gpt-4 at the time + show user how the AI system thinks to built trust UX (it seems rabid, but we must dream and push for what the alternative world could be)
> collaborative RAG (Sept 2023); key insight: this was better for UX than just one big model, better results than ChatGPT and Perplexity at the time for certain curated domains ("it is hopeless to compete against us")
Miner Mondays: Built To Scale ⬟
As the Nesa ecosystem expands, so does the need for reliable nodes.
Run a node to contribute compute and support overall network reliability, all while being exclusively rewarded with Miner Points.
Now with Nesa Bootstrap, it’s easier than ever to get setup!
Get started below ↓
📚 Docs: https://t.co/R35tYqJKf5
❓ FAQ: https://t.co/RkFq8xi5SV
🧰 Custom scripting: https://t.co/zANdfAZJJx
💬 Need help? Join Discord: https://t.co/fZxnUiHta8
Introducing zkPass: Building the Verifiable Internet through zkTLS
TL;DR
zkPass is a zkTLS-based oracle protocol that enables applications to verify facts derived from private web data through cryptographic proofs. It allows statements about HTTPS-sourced data to be verified without exposing underlying information or requiring changes to existing systems.
zkPass extends standard TLS with zero-knowledge cryptography to enable verifiable claims over authenticated HTTPS data. The protocol has been applied across hundreds of verification schemas and integrated by dozens of applications, allowing Web2-sourced facts to be used in decentralized systems in a privacy-preserving manner.
This architecture bridges authenticated web data and onchain verification without introducing trusted intermediaries, enabling applications to rely on real-world information while preserving user privacy.
For readers seeking deeper technical detail on the cryptographic constructions, protocol flows, and performance considerations, a dedicated technical paper is available:
https://t.co/nSiTBLwPSu
Additional documentation and references are available at https://t.co/VcI6g35Jaa.
Introducing PoMA (Proof of Medium Authorship) powered by @zkPass.
🔗 https://t.co/ETNBxL4Quv
Outside of X, content creators are often ignored in incentive designs because platforms like Medium offer no public APIs or OAuth to verify who actually wrote what. So we built a simple tool that taps into zkPass’s core capability: proving anything from any website privately, without ever revealing the underlying data.
This group of verified creators will be included as an additional eligibility type for the $ZKP Genesis Airdrop.
A few notes:
1/ Use TransGate on web to generate a ZK proof for any of your articles. It runs locally and no gas is required.
2/ Only articles published before this announcement are eligible. No last-minute farming.
3/ Topics are not limited to zkPass - any ZK-related writing, even about other ZK projects, is welcome.
4/ This is a small additional reward and does not dilute existing credit holders. Nothing here is financial advice or a promise.
gZKP.
Quick Tutorial: How to Prove You’re the Author of a Medium Article
1/ Open https://t.co/ETNBxL4Quv
(best experience on Chrome desktop) and install the TransGate extension when prompted.
2/ Generate Your Proof
› Click “Verify on Medium.” You’ll be redirected to Medium - scroll and open the article you want to prove.
› When you're on the correct article, click Start at the bottom-right corner.
› TransGate will generate a ZK proof locally in your browser, and you’ll immediately see whether your authorship is verified.
🎥 Recap of The Verifiable Nights - the biggest zkPass Community Meetup in Seoul🇰🇷!
When privacy showed up wearing a hoodie
and somehow became the most trusted person on the rooftop.
ZKP vibe 🔥