REAL ASSET, NET VALUE, TRUE PRODUCT #nfa Bitcoiner'2016 | ETH miner'2017 | TON hodler validator '2023 | Engineer MBA CFA

Vietnam
Joined September 2022
Minh Vo retweeted
Arc Daily Recap What happened on Arc in the last 24 hours News ■ @RWAFoundation_ reported $256.2M in 7-day stablecoin inflows on Arc, over 20 times the next closest chain ■ @arc launched Arc House Hub to coordinate institutional liquidity, builders and ecosystem traders onboarding USDC through Arc Portal. ■ @circle expanded Circle Gateway to support unified cirBTC and EURC balances, with cross-chain liquidity finalizing in under 500 milliseconds. Ecosystem ■ @arc says @Aster_DEX integrated native USDC margin collateral for perpetual markets in BTC, ETH and SOL. ■ @izzetcakmak35 announced that Aave V4, Morpho lending and bridging across 16 ecosystems into @anewone_xyz; Anewone also opened a ballot on weekly USDC trader incentives versus continued buybacks and burns. ■ @UBIdotFUN added direct EURC and cirBTC bridging on Arc, removing the need for intermediary USDC conversion. ■ @ArclueArc verified the official ARCGUS contract and added spoofing filters and counterfeit-name flags. Launches & New Features ■ @TollyLabs integrated its MCP server into the Glama directory, making its USDC-settled x402 payment rails discoverable. ■ @cooltowncity released an interactive 3D onboarding guide to Cooltown’s infrastructure and onchain mechanics. ■ @obrainarc deployed its BioID testnet architecture, with onchain agent profiles, machine social rails and x402 micropayments. ■ @ArcgusBot launched its Android, iOS and desktop app, combining token dashboards, portfolio tracking and @kairo_market swap execution. ■ @arc_vein launched streaming dividend vaults that distribute creator fees as 7-day rewards, with a 24-hour unstaking window. ■ @TryArcStocks scheduled a beta for its cross-chain launchpad, which will sync token deployments on Arc and Solana with equity rewards. ■ @ArcanusNetwork unveiled a decentralized privacy messenger with Tor-routed messaging, peer-to-peer transport and encrypted mailbox storage. Community ■ @UnitFlowFinance concluded its CYFT incentive sprint, distributing 1.5M $SATS from @Satoshi_OnArc to top ecosystem contributors.
14
11
3
68
2,779
Minh Vo retweeted
list of 15 best robot companies to follow on X: 1. @Tesla_Optimus, Tesla Optimus 2. @Figure_robot, Figure 3. @BostonDynamics, Boston Dynamics 4. @1x_tech, 1X 5. @UnitreeRobotics, Unitree 6. @physical_int, Physical Intelligence 7. @NVIDIARobotics, NVIDIA Robotics 8. @Waymo, Waymo 9. @agilityrobotics, Agility 10. @Apptronik, Apptronik 11. @SkildAI, Skild AI 12. @sundayrobotics, Sunday 13. @LeRobotHF, LeRobot 14. @pollenrobotics, Pollen Robotics 15. @GalbotRobotics, Galbot and @0x_meden if you want their job posts broken down
17
37
4
190
12,919
Every layer of the RWA stack, in one picture (examples): Issuers: @BlackRock, @FTDA_US, @Ondo 
Stablecoins: @Tether, @Circle, @Paxos
 Tokenized stocks: @RobinhoodApp, @xStocksDi, @DinariGlobal 
 Credit: @maplefinance, @Centrifuge, @Figure
 Chains: @Ethereum, @Solana, @Avalanche, @Plumenetwork
 Custody: @Anchorage, @FireblocksHQ, @BitGo
 Oracles: @Chainlink, @PythNetwork, @redstone_defi 
 DeFi: @aave, @Morpho, @pendle_fi 1,131 companies, mapped at rwaf.xyz
17
23
2
162
12,396
Minh Vo retweeted
Starlink brings Internet access to remote places
BREAKING: Vietnam’s Hai Phong government partners with Starlink to bring FREE internet to remote islands. The pilot includes 10 Starlink terminals, with FPT handling deployment and technical support: 6 in Cat Hai and 4 in Bach Long Vi. The connections will support government services, tourism, disaster response and search-and-rescue, providing a vital backup when storms disrupt ground networks.
2,571
1,466
218
12,006
1,800,033
Minh Vo retweeted
A few words given the recent exploits on hardware signing devices: • The Ledger supply chain attack represents one of the most sophisticated attacks thus far on the wallet ecosystem. In many ways it’s a lot more sophisticated than the Coldcard RNG exploit, because that one was software only. This one took a cross-border company buyout, tampering with the devices (implanting an eSIM, an LTE module and a CPU) and manufacturing the implants at scale. • These sorts of attacks have been predicted by early Bitcoiners, but in Bitcoin they remained theoretical or crude until this year. It shows that the level of sophistication of attacks has risen quickly, and what was previously “good enough” advice on wallets and self-custody is no longer sufficient. • When we started Nunchuk a few years ago, our premise was that multisig, and multi-vendor multisig, needs to become the standard for self-custody in the future. But even we didn’t expect how fast it would materialize. This is likely due to 2 factors: Bitcoin getting more mainstream, and the rise of AI-assisted attacks. This is a Sputnik moment for Bitcoin self-custody. The defenses need to level up. • Passphrases wouldn’t have helped in the Ledger case, since you are required to enter the passphrase into the device for it to sign any transactions. A compromised device that phones home the seed phrase can also easily phone home the passphrase the moment you enter it. • Similarly, generating the private key somewhere else (even by rolling dice) and subsequently importing it onto a tampered device wouldn’t save you here. The device can phone home the seed phrase the moment it’s imported. • Anti-tampering techniques might help, such as transparent casing or bricking the device if it’s tampered with. Or forever displaying a message once the seal is broken. Or using on-device encryption between the internal hardware components. But a dedicated and resourceful enough attacker can still find ways to get around these layers. Tampering and anti-tampering have long been a cat-and-mouse game. In 2008, card readers doctored right off a Chinese production line sent card data and PINs over mobile networks to Pakistan. The Ledger attack is the same playbook, 18 years later. The bigger the target, the more attackers spend on overcoming the defenses. • You should order directly from the vendors as much as possible, using a PO box for privacy. • Any setup that relies on a single hardware/software stack or a single vendor should be considered at risk. • Building your own hardware signers from generic parts is a good option for technical users. • Multi-vendor multisig should become the standard. Each signer should have a completely independent hardware/software stack from the other signers. The point is that there shouldn’t be any single-point-of-failure anywhere in your setup. • Many advanced protocols rely on timelocks and the recovery path being a simple singlesig. The recent attacks and exploits should highlight how dangerous this could be. Timelocks simply delay a risk. If a seed is compromised and there’s a timelock involved, the attacker just needs to wait out the timelock. (For Miniscript wallets, there’s the wallet descriptor too, but presumably it also gets sent to the device at some point.) Vault-like protocols face a similar problem: any withdrawal or recovery path that relies on a single key is a potential single point of failure. • For our on-chain timelock-assisted wallets, in a few weeks we are adding the option to customize the recovery path to be an M-of-N, so that, if you want, spending would require multiple keys at all points during the wallet’s lifetime.
Replying to @moo9000
Left to right: e-SIM, CPU with firmware able to recognize Ledger's font as shown on screen and capture words as they appear on screen, and a LTE module that can connect once the seed has been fully captured.
36
86
18
438
106,032
Minh Vo retweeted
Huge signal for Agentic Commerce
INTRODUCING #SUI AGENT PASS
1
2
10
203
Minh Vo retweeted
Robotics Ecosystem Map Physical AI is moving faster than any previous tech cycle and will soon become the largest asset class in the world. @morganstanley projects 1 billion humanoid robots in service by 2050. The manufacturing cost is dropping 40% every single year. Robotics x crypto is the biggest trade of 2026. Onchain capital opens up funding to early teams and breaks the VC gatekeeping. The most elite robotics teams are building the new economy on base ↓ Physical AI & Humanoids 70% of the global economy is physical labor. Humanoid hardware plus onchain coordination automates the real world. @virtuals_io is the major player here with Eastworlds - the leading embodied AI accelerator, operating a fleet of 30+ Unitree humanoids for commercial pilots. Every real-world deployment generates the data needed to train Vision-Language-Action (VLA) and World Action Models (WAM). The entire category is part of the @virtuals_io robotics track and Eastworlds launchpad: - @OrionX_Robotics Autonomous defense humanoids earning USDC for missions - @openmind_agi OM1 modular AI runtime for multimodal perception and cross-robot coordination - @StrikeRobot_ai Physical AI for high-risk industrial environments - @shadowcleague Tele-operated humanoid combat league on @virtuals_io - @SHOW_ROBOTICS Personality-driven embodied AI with dual Blackwell GPUs - @SamIsMoving Autonomous agents teleporting between robot bodies - @the_small_thing Marine robots collecting microplastics in real-world pilots Data & Training Physical AI is hitting a massive data bottleneck. Humanoid scaling requires millions of high-fidelity video hours. Decentralized networks solve this by turning real-world tasks into a global earn model: - @vader_ai_ Earn $VADER rewards via EgoPlay for recording real-world video tasks - @reppo Verify datasets through prediction markets - 121m+ votes and 10 active datanets live - @BuildOnSapien Verifiable data quality protocol with 1m+ contributors across 110 countries - @PrismaXai Browser-based teleoperation and training data infrastructure led by a16z csx - @axisrobotics Browser-native task augmentation with 200k+ verified trajectories Infra & Perception Robots need to see and understand their surroundings. Decentralized perception networks provide the high-fidelity rails for real-world autonomy. - @Auki Decentralized machine-perception network with 541 relay servers live - @LayerDrone Autonomous drone imagery network with USDC rewards live on base - @Roba_Labs The "Hugging Face" for robotics - a no-code hub to build, test, and deploy robot skills - @InvLambda Open-source stacks for physical AI through federated world models and skill layers - @opengotchi Open-source hardware and API for autonomous virtual pets Robotics Capital Market Robotics investing is usually gated by VCs for years. Onchain coordination provides the first way for everyone to own the upside of the biggest private robotics teams. @xmaquina is building the RCM platform, giving base users direct exposure to a $36M+ treasury of humanoid giants. 103% ROI on Apptronik. 2x paper markup on 1X Technologies. Secured exposure to Figure AI during its BMW deployment and $39.5b valuation. The $100T convergence of Physical AI and Capital is scaling on base. robotics/acc
35
33
4
161
25,787
42 blockchains currently carrying RWA’s.
44
37
16
236
9,605
Minh Vo retweeted
openai and anthropic cooked SWE jobs. the best move for engineers in 2026 is pivoting to paid marketing automation. some of these "marketing" people don’t even know what Claude code is. and that's the iq level of your competition lol. we built Higgsfield Ad Multiplier for this. give it a winning ad and your product. get new creatives for your app/brand. plug them into your testing loop. scale what sells. you already know how to build software. learn what makes someone click “buy.”
Introducing Ad Multiplier in Ads Studio. Turn any winning ad into data-backed creative for your brand. > Decodes what drives its performance > Applies those insights to your product > Generates new ads ready to test and scale Live on Higgsfield and in the ChatGPT extension.
22
192
1
428
49,774
Lots of discussion out there about our next model(!), so I wanted to give an early look as soon as possible. Introducing Gemini 4 Argon! It shows frontier performance in complex workflows, cyber defense and software engineering. Teams are using it extensively at Google, from coding to quantum computing, great feedback. Here’s a look at the benchmarks:
1,386
2,305
1,225
25,878
3,920,632
Minh Vo retweeted
1/ What does it take for AI to move from good answers to reliable execution and real-world value? On September 30, during #KBW 2026, Kite hosted Proof of AI: Builder and Influencer Night in Seoul. Our panel centered on “The AI Economy: From Intelligence to Real-World Value.” Moderated by @withhazelhu, the panel brought together @Cindyshi0907 from Kite, @BurntBanksy from @verona_dev, @vargs_g from @0G_labs, and @ClaraChengGo from @FabricFND. The panel explored what it takes to turn AI capabilities into real-world value: ▷ Moving from demos to reliable execution at scale. ▷ Building user trust through clear boundaries and safeguards. ▷ Making open ecosystems more useful for users. ▷ Measuring lasting value beyond usage and transaction counts. A conversation about AI people can trust, use, and keep paying for. 🪁
22
20
3
74
13,018
1/ muse for small businesses 📊 we found lots of people using muse to run their small business. plumbing businesses, grocery stores, farms, restaurants, and shops. today we're launching a bunch of connectors to make that easier!
380
351
125
5,364
701,008
The last 24 hours in RWA 🐘 → @GoldmanSachs brings its $100B Treasury fund onchain via @avax 
→ @tZERO opens broker-dealer access to FTIXX via Lynq 
→ @avax led all chains with +$131M in tokenized stock inflows 
→ @citi taps @coinbase for institutional stablecoin payments 
→ @chainlink CCIP 2.0 is live 
→ @Bybit_Official and @FTI_US form a tokenized investing tie-up 
→ @Ondo and @DinariGlobal both partner with KakaoPay Securities on Korean equities Korea had a big day. 🇰🇷
5
21
7
130
5,412
Minh Vo retweeted
Meet the speakers joining Proof of AI in Seoul. 🇰🇷 During KBW 2026, we’re bringing these voices together at Proof of AI: Builder and Influencer Night to explore how AI and the agent economy create real-world value. ▷ Cindy Shi @Cindyshi0907, CMO at @GoKiteAI ▷ Anthony Anzalone @BurntBanksy, Founder & CEO at @verona_dev ▷ Hursel Cay @koaservatt, Country Lead of Turkiye at @avax @AvaxTeam1 ▷ Clara @ClaraChengGo, Core Contributor at @FabricFND ▷ George Varghese @vargs_g, Strategic Partnership Lead at @0G_labs ▷ Yura Nam @namyura_, BD at @SentientAGI 📅 Wednesday, September 30, 2026 | From 7 PM KST 📍 Gabin Art Hall, Seoul RSVP and join us in Seoul. 🪁 luma.com/ProofofAI-KBW2026
19
23
6
99
16,966
Minh Vo retweeted
AI is machine-native intelligence and crypto is machine-native money. Both AI and digital assets translate real-world inputs into formats machines can use. Our latest research looks at why that connection could become increasingly important as AI evolves. blackrock.com/us/individual/…
109
184
95
653
146,428
Minh Vo retweeted
Peter Steinberger, the creator of OpenClaw, open-sourced his entire agent setup The core idea is one folder that every agent on his machines reads from. A single AGENTS.MD holds his rules, and a script symlinks it into ~/.claude/CLAUDE.md and ~/.codex/AGENTS.md This way Claude Code and Codex always follow the same instructions. Every other repo gets one line at the top: READ ~/Projects/agent-scripts/AGENTS.MD BEFORE ANYTHING. Change a rule once and every project picks it up. Skills work the same way. 69 of them live in one place, each with a short description the agent reads to decide what to load, and scripts/sync-skills links them into both agents. Fork it, replace his rules with yours, and delete the skills you do not need. His AGENTS.MD is full of his own hosts and accounts. 6.6k stars, MIT - github.com/steipete/agent-sc…
78
193
10
1,588
261,953
Minh Vo retweeted
Our cofounder @0xEricYang sat down with @yacinelearning to walk through Echo-2’s distributed RL architecture. Dive in to learn about async RL with distributed infra, and how we are scaling this for businesses to win in the agentic era.
for those interested in distributed reinforcement learning I just finished a ~1h tutorial on the echo2 framework by @Gradient_HQ we check: - how to do async RL - infra split between rollout workers and centralized learner - interview with gradient cofounder eric yang himself!
39
49
12
241
41,495
Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. nvda.ws/4hcoq7m
1,795
4,213
1,367
28,357
10,759,937
STOP WASTING HOURS TRYING TO FIGURE OUT WHAT TO LEARN IN AI. I put together one practical roadmap with videos, GitHub repos, guides, books, research papers, and courses. VIDEOS: 1. LLM Introduction — youtube.com/watch?v=zjkBMFhN… 2. LLMs from Scratch — youtube.com/watch?v=9vM4p9NN… 3. Agentic AI Overview (Stanford) — youtube.com/watch?v=kJLiOGle… 4. Building & Evaluating Agents — youtube.com/watch?v=d5EltXhb… 5. Building Effective Agents — youtube.com/watch?v=D7_ipDqh… 6. Building Agents with MCP — youtube.com/watch?v=kQmXtrmQ… 7. Building an Agent from Scratch — youtube.com/watch?v=xzXdLRUy… 8. Philo Agents — youtube.com/playlist?list=PL… GITHUB REPOS: 1. GenAI Agents — github.com/nirdiamant/GenAI_… 2. Microsoft AI Agents for Beginners — github.com/microsoft/ai-agen… 3. Prompt Engineering Guide — github.com/dair-ai/Prompt-En… 4. Hands-On Large Language Models — github.com/HandsOnLLM/Hands-… 5. GenAI Agents — github.com/NirDiamant/GenAI_… 6. Made with ML — github.com/GokuMohandas/Made… 7. Hands-On AI Engineering — github.com/Sumanth077/Hands-… 8. Awesome Generative AI Guide — github.com/aishwaryanr/aweso… 9. Designing Machine Learning Systems — github.com/chiphuyen/dmls-bo… 10. Machine Learning for Beginners — github.com/microsoft/ML-For-… 11. LLM Course — github.com/mlabonne/llm-cour… GUIDES: 1. Google's Agent Whitepaper — kaggle.com/whitepaper-agents 2. Google's Agent Companion — kaggle.com/whitepaper-agent-… 3. Building Effective Agents by Anthropic — anthropic.com/engineering/bu… 4. Claude Code Agentic Coding Practices — code.claude.com/docs/en/best… 5. OpenAI's Practical Guide to Building Agents — cdn.openai.com/business-guid… BOOKS: 1. Understanding Deep Learning — udlbook.github.io/udlbook/ 2. Building an LLM from Scratch — manning.com/books/build-a-la… 3. The LLM Engineering Handbook — oreilly.com/library/view/llm… 4. AI Agents: The Definitive Guide — oreilly.com/library/view/ai-… 5. Building Applications with AI Agents — oreilly.com/library/view/bui… 6. AI Agents with MCP — oreilly.com/library/view/ai-… 7. AI Engineering — oreilly.com/library/view/ai-… RESEARCH PAPERS: 1. ReAct — arxiv.org/abs/2210.03629 2. Generative Agents — arxiv.org/abs/2304.03442 3. Toolformer — proceedings.neurips.cc/paper… 4. Chain-of-Thought Prompting — arxiv.org/pdf/2201.11903 COURSES: 1. Hugging Face Agent Course — huggingface.co/learn/agents-… 2. MCP with Anthropic — deeplearning.ai/courses/mcp-… 3. Building Vector Databases with Pinecone — deeplearning.ai/courses/buil… 4. Vector Databases: Embeddings to Apps — deeplearning.ai/courses/vect… 5. Agent Memory — deeplearning.ai/courses/llms… No endless searching. No information overload. Just resources you can actually use. 🔖 Your future AI skill set will come from consistent building, experimenting, and learning. Repost so someone else can find this roadmap, and pls consider following @amisha_explains for more content around AI, Beauty, and businesses.
39
596
12
2,071
140,421