0G Labs (Home of Infinite AI) ✓
@0G_labs · San Francisco · joined 08 Nov 2023
Trust Layer for AI, powered by @0G_Foundation
682 380Followers
197Following
5 079Posts total
936.9KViews on collected posts
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An agent that cant pay for its own compute is just a spicy chatbot.
10.9K views · 28 likes
· 4 reposts · 6 replies
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Ships got registers before they got insurance. Nobody prices the risk of a hull that can sink and come back under a new flag.
The endgame here is liability underwriting, and it starts the old way: An identity the agent cannot quietly swap or shed.
12.9K views · 28 likes
· 5 reposts · 4 replies
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I think there’s another way to attack this problem: make agents accountable by default.
If every autonomous agent has a persistent, verifiable Agentic ID, its actions can be attributed, its history and reputation tracked, and misbehavior punished.
Identity → traceability →
10.7K views · 15 likes
· 6 reposts · 3 replies
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Six days ago this card said more was coming.
Delivered. The catalog doubled. https://t.co/hbUdOHacMy
17.6K views · 55 likes
· 10 reposts · 4 replies
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"Beyond one-size-fits-all systems."
That is the argument @michaelh_0g is taking to KBW2026. Once anyone can build and serve a model, the hard part moves underneath: proving which model answered, and that nobody read the prompt on the way.
Seoul, end of the month.
17.9K views · 105 likes
· 10 reposts · 9 replies
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The next bull run won’t be humans clicking buttons. It wiill be autonomous agents trading 24/7.
Who’s feeding them private and verifiable compute? Asking for a friend...
21.9K views · 53 likes
· 9 reposts · 8 replies
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The people building the next era of technology are coming to KBW2026.
Hear from speakers like Michael Heinrich (@michaelh_0g), CEO of @0G_labs, and join the conversations exploring how community-built models can move AI beyond one-size-fits-all systems.
Don’t wait until we’re h
18.9K views · 12 likes
· 3 reposts · 4 replies
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0:23
"Can we trust AI we don't fully understand?"
A real panel title at House of AI this Saturday in Palo Alto, our safety forum with Stanford Founders Club.
Keynote from the Linux Foundation, plus a closing panel on who is liable when AI fails.
RSVP 👇🏼
https://t.co/quHq41jiGf
12K views · 41 likes
· 10 reposts · 5 replies
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The math can be machine-checked. Who got there first cannot, because timelines live in private logs.
That is an infrastructure problem. On 0G, attested inference ships a signed TEE receipt, 21M+ so far, and artifacts anchor onchain, timestamped.
Verify the work, not the word.
14.7K views · 36 likes
· 8 reposts · 5 replies
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Your RAG stack just lost a dependency.
Until today, 0G Private Computer covered chat, vision and code models. Embeddings were the missing call that kept a second provider around. Not anymore: same OpenAI-compatible API, same Router balance.
Embed and infer in one place. https:/
29.7K views · 54 likes
· 8 reposts · 10 replies
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One zero-gravity:native Router balance
Every model
Every provider
Every service type
Your deposit sits in 0G's Payment Layer, shared across products. The Router pulls what it needs and settles providers onchain.
Fund once. Use where needed.
https://t.co/Y3gaabivg5
12.1K views · 28 likes
· 6 reposts · 7 replies
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Seoul is filling up early. 🇰🇷
The @Bridge34__ Summit hits Josun Palace on Sep 28, one day before KBW opens, with @hack_vc co-hosting.
Right room to talk about what AI actually needs from infrastructure. 📷
11K views · 21 likes
· 3 reposts · 2 replies
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Friday night and intern's working on something 👀
Are you relaxing or still shipping? https://t.co/qUlwTd7PLW
10.7K views · 14 likes
· 2 reposts · 4 replies
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Baidu AI Cloud is now a sponsor partner of the 0G Atlas Founder House.
The teams in the house build on 0G. Baidu brings the cloud stack around them: LLM services, enterprise storage, AI video, no-code tooling.
Run with @HackQuest_.
12.7K views · 44 likes
· 6 reposts · 5 replies
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🇰🇷 The Bridge Summit 2026
On September 28, 2026,
The Bridge Summit brings together global Web3 projects, institutions, media, investors, and leading communities at Josun Palace Seoul.
Hosted by @TVChosunNews × @Bridge34__
Co-host: @hack_vc
https://t.co/UKynv3U2HD https://t.co/
13.4K views · 18 likes
· 1 reposts · 2 replies
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We're thrilled to announce that @BaiduAI Cloud is officially a sponsor partner for our 2026 0G Atlas Founder House ☁️ 🤝 @0G_labs @0g_CN
Baidu AI Cloud is a leading provider of cloud computing services powered by artificial intelligence, offering a comprehensive suite of cloud ht
12.2K views · 19 likes
· 5 reposts · 5 replies
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Private AI, upgraded.
The Private Inference tier on 0G now serves GLM-5.3: the model runs fully sealed inside a TEE enclave, where neither 0G nor the provider can read your prompts.
GLM 5.2 held this tier since July. Its successor just moved in.
10.5K views · 39 likes
· 10 reposts · 11 replies
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GLM-5.3 now runs fully sealed in TeeML on 0G's Private Inference tier. Same enclave privacy, a sharper model, and one model name to update for builders. https://t.co/QgT5MIgdzJ
10.5K views · 24 likes
· 7 reposts · 3 replies
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Financial AI you can actually audit.
@PulsarMoneyApp is running its in-app models on 0G Private Computer, so each response carries proof of which model ran and where.
Money decisions should not come out of a black box.
zero-gravity:native
11K views · 36 likes
· 10 reposts · 8 replies
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AI used to mean chat.
Your tab bar disagrees.
Chat. Image. Video. Speech.
One Playground on 0G Private Computer.
https://t.co/I8UITr7Qx9
15K views · 42 likes
· 5 reposts · 5 replies
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@0G_labs @OimpactAI ... The decentralized compute path is the way 🦾
69 views · 1 likes
· 0 reposts · 0 replies
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Oimpact is live on 0G Mainnet. Free to start, no card, no wallet. Mint your first agent in under two minutes.
Full breakdown:
https://t.co/s0tMmJP8A4
717 views · 6 likes
· 0 reposts · 0 replies
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There is a second layer for businesses.
Train one support agent on your company, then hand every customer their own private agent, under your brand, with isolated memory.
Your customers, your brand, your pricing. Oimpact runs the AI on 0G.
768 views · 4 likes
· 1 reposts · 1 replies
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Pick a template, equip skills, deploy in minutes.
Grants Agent. Cross-chain funding via @khalani_network.
Verified carbon via @THEecoBridge to Regen Network. Private inference on 0G's Private Computer.
0G is the blockchain for AI agents.
126 views · 1 likes
· 0 reposts · 1 replies
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Every Oimpact agent can be minted as an Agentic ID, an ERC-7857 token on 0G Chain.
Mint it free, no gas to start. Run it on private, TEE-verified compute sealed in hardware. Train it, transfer it, or sell it like a business.
Yours, not a rental. https://t.co/H7UiBDiZ6I
304 views · 4 likes
· 0 reposts · 1 replies
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Doing good is a feature, not a tax.
Every Oimpact agent can transact an Impact Catalog: carbon credits, charitable giving, verified causes. Each verified purchase mints an onchain RWI receipt: what was funded, by which agent, for whom.
What would your agent fund? https://t.co/t
432 views · 8 likes
· 4 reposts · 2 replies
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Most AI rents you access and optimizes for itself.
@OimpactAI built the opposite: an AI workforce you actually own, where every job an agent does can fund verified real-world impact.
Live today on 0G.
16.8K views · 47 likes
· 8 reposts · 7 replies
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Oimpact is live on 0G: own AI agents that fund real-world impact, run them privately, and give every customer their own private agent under your brand. https://t.co/tQE0TTEE1E
22.9K views · 67 likes
· 12 reposts · 3 replies
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@0G_labs The more you think about how much confidential data gets pushed into AI daily, the more 0G Private Computer starts to make sense
296 views · 5 likes
· 0 reposts · 0 replies
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Frente a cuentas del mismo tamaño
29 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. alcance normal para su tamaño, reacción más débil que la mayoría.
Visualizaciones medianas12 132esta cuenta5 983mediana de 100K–1M
Alcance, %1.78%esta cuenta1.49%mediana de 100K–1M
Interacción, %0.38%esta cuenta0.93%mediana de 100K–1M
| Métrica | Esta cuenta | Mediana de 100K–1M | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 12 132 | 5 983 | 2.03× |
| Alcance (visualizaciones ÷ seguidores) | 1.78% | 1.49% | 1.19× |
| Tasa de interacción | 0.38% | 0.93% | 0.40× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
10.7K4 Sep
11K5 Sep
13.5K
12.1K
29.7K9 Sep
14.7K10 Sep
12K11 Sep
18.9K12 Sep
21.9K
17.9K13 Sep
17.6K15 Sep
10.7K
12.9K
10.9K16 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.20%4 Sep
0.24%5 Sep
0.41%
0.35%
0.26%9 Sep
0.33%10 Sep
0.47%11 Sep
0.12%12 Sep
0.32%
0.69%13 Sep
0.41%15 Sep
0.23%
0.29%
0.35%16 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes71.9%899 in total
Reposts12.6%158 in total
Replies10.6%132 in total
Quotes2.9%36 in total
Bookmarks2.1%26 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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