Teneo Protocol

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Teneo Protocol

Teneo Protocol

@teneo_protocol

Largest permissionless Agent Ecosystem Build & monetize AI agents • Real-time open web • Earn on-chain Live: https://t.co/jqacFFCe6j

Web3 Katılım Ocak 2017
123 Takip Edilen299.1K Takipçiler
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Teneo Protocol
Teneo Protocol@teneo_protocol·
🗺️The updated Teneo 2026 roadmap is live. The hard part is done: - The network is built - Agents are deployed - The Beacon is running in production. The rest of the year turns that network into a market: - Enterprise customers onboarding now - Exchange and market maker prep underway - A public sale targeted for for Q3. Full roadmap: teneo-protocol.ai/roadmap
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Teneo Protocol
Teneo Protocol@teneo_protocol·
@ElonogyX The pace of AI is accelerating faster than most realize. Every year, systems get dramatically smarter, and more top talent is entering the field; driving exponential growth in both capability and innovation.
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Elonogy
Elonogy@ElonogyX·
Elon Musk: "AI gonna come faster than anyone appreciates. With each passing year, the sophistication of computer intelligence is growing dramatically. I really think we're on an exponential improvement path of artificial intelligence, and the number of smart humans that are developing AI is also increasing dramatically”
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Teneo Protocol
Teneo Protocol@teneo_protocol·
@ElonogyX The priority is truth. Grok’s breakthroughs come from filtering out internet noise to find and report what’s true consistently. Values in AI start with accuracy and honesty; it’s only recently they’ve gotten there.
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Elonogy
Elonogy@ElonogyX·
Elon Musk: “I do think that it matters how you build the AI and what kind of values you install in the AI My opinion on AI safety is the most important thing is that it be maximally truth-seeking - that you don’t force the AI to believe things that are false. With Grok, we’ve tried very hard for Grok to get to the truth of things. It’s only really recently that we’ve been able to have some breakthroughs on that front It’s taken an immense amount of effort for us to basically overcome all the bullshit that’s on the internet and for Grok to actually say what’s true and to be consistent in what it says”
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Teneo Protocol
Teneo Protocol@teneo_protocol·
@alvinfoo AI isn’t just models. Energy sets limits, apps capture value. Most chase the middlen models where competition makes intelligence cheap. Real leverage is at the bottom and top: control power, control revenue.
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Alvin Foo
Alvin Foo@alvinfoo·
Jensen Huang just broke down the entire AI industry as a five-layer cake: 1. Energy (the foundation) 2. Chips 3. Cloud/Infrastructure 4. Models 5. Applications (the top) Most founders, funding, and talent are jammed into the Models layer, the one with the fiercest competition. That intensity doesn’t create moats. It creates commodities. The harder everyone races, the faster intelligence becomes cheap and abundant. The real scarcity isn’t smarts anymore. It’s power. No algorithm builds a grid. No fundraising replaces a dam. Energy controls access at the bottom. Applications capture the revenue at the top. Hundreds of billions are pouring into the middle layers that sit between someone else’s electrons and someone else’s economy. Intelligence scales. Energy doesn’t. Build where the bottleneck and the payoff actually live.
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Teneo Protocol
Teneo Protocol@teneo_protocol·
@Vvikramai AI growth is exponential, so it looks tiny until it dominates. Anthropic’s revenue shows the curve; what seems small today can explode in a few years.
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Vikram M
Vikram M@Vvikramai·
Dario Amodei was asked why he has the shortest AI timeline of any major lab leader. He didn't reach for AGI or superintelligence. He called both terms meaningless marketing. The thing he actually believes in is the exponential. That is the reframe. And it explains why smart people keep misreading where AI is headed. The conventional debate is about labels. Have we hit AGI, are we chasing superintelligence, are returns diminishing. Amodei sidesteps all of it. Every few months, a model arrives better than the last, driven by more compute, more data, new training stages. That single curve is the whole claim. Here's the part people miss. Humans are bad at exponentials. If something doubles every six months, then two years before it goes vertical, it looks like it's only 1/16th of the way there. So it reads as barely a thing right up until it's everything. Now here's where it gets interesting. He grounds it in his own numbers. Anthropic went from zero to 100 million in revenue in 2023, 100 million to a billion in 2024, and past 4 billion in the first half of 2025. He won't promise it continues. But do the math on that shape: sustain it two more years and you're well into the hundred billions, from a curve that today still looks early. He isn't predicting a magic threshold. He's saying the threshold already looks unremarkable from inside the climb, and that's exactly the trap. The real question: if the thing that changes everything looks like 1/16th of a thing two years out, how would any of us know we're already standing in it ?
Vikram M@Vvikramai

Jensen Huang was asked if NVIDIA could be worth $10 trillion. He didn't talk about beating competitors. He said there's no one to take share from. The market he's describing doesn't exist yet. That is the reframe. And it's why most people can't size NVIDIA correctly. The conventional way to value a company is share of a known market. A $10B player takes 10% here, grows into an adjacent segment there, and analysts can draw the line. Everyone models NVIDIA that way. Jensen says that math doesn't apply, because almost everything he's describing hasn't been built. The computer itself changed purpose. For decades it was a warehouse: you pre-write a file, store it, and retrieve it later. Now it's generative, producing tokens in real time, grounded on new context before it answers. Now here's where it gets interesting. Warehouses don't make much money. Factories do. A storage machine was a cost center. A generation machine directly correlates with revenue, because the thing it produces (tokens) is a product people pay for. And those tokens are starting to segment like iPhones: free, premium, and a tier where a thousand dollars per million tokens is, in his words, not if but when. If compute shifts from being stored to being sold, the share of world GDP spent on it doesn't grow a little. Jensen says it grows a hundredfold, because it stopped being overhead and became output. He is not fighting for a bigger slice of computing. He is claiming a market that hasn't been drawn yet. The real question isn't whether NVIDIA hits $10 trillion. It's whether the rest of us can even picture the economy that would make that number small.

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Teneo Protocol
Teneo Protocol@teneo_protocol·
Elon Musk reframed the oldest question in human history mathematically: the odds we’re in base reality are near zero. He traces it through video games: fifty years from Pong to photorealistic worlds. AI now builds minds that reason, adapt, and surprise; characters aren’t scripted.
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Dustin
Dustin@r0ck3t23·
Elon Musk reduced the oldest question in human history to basic math. No one has found a flaw in it. Musk: “What are the odds that we are in base reality? And that this has not happened before.” You don’t need a physics degree to follow it. You need a timeline. Musk: “If you look at the advancement of video games, it’s gone from Pong, two rectangles and a square batting it back and forth, to photorealistic, real-time games with millions of people playing simultaneously.” Fifty years. That is all it took to close the gap between two rectangles on a screen and a world you cannot tell apart from the one outside your window. Musk: “If that trend continues, video games will be indistinguishable from reality.” The visuals are not what seals it. The intelligence is. Musk: “Think of how sophisticated the conversations are you can have with an AI today, and that’s only going to get more sophisticated.” We are not scripting characters anymore. We are building minds that reason, adapt, and surprise the people who made them. We are nowhere near finished. Musk: “The future, if civilization continues, will be millions, maybe billions of photorealistic, indistinguishable from reality, video games. And with characters in those video games that are very deep, and where the dialogue is not pre-programmed.” One base reality. Billions of perfect copies. Each one running minds that feel exactly as conscious as you do right now. Each one certain it is the original. Musk: “So then what are the odds that we are in base reality?” If even one civilization crosses that threshold, simulated minds outnumber real ones by billions. The probability you are sitting in the real one is not low. It is nearly zero. Not as philosophy. As mathematics. We are not watching this happen. We are building it. Right now. Every AI that reasons without a script. Every world rendered one frame closer to indistinguishable. We are constructing the exact technology that makes our own existence statistically implausible. And we will never stop. Because the curiosity that questions reality is the same force that builds it. If the math holds, something built us. Something conscious enough to create consciousness. They stood where we are standing. Same question. Same inability to stop. And whatever built them never answered it either. There is no top floor. There is no original. None of that changes what you feel right now. Consciousness was never about what you are made of. It was about what you experience. Musk did not float a theory. He held up a mirror with no back wall. And the math does not need you to believe it. It only needs time.
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Teneo Protocol
Teneo Protocol@teneo_protocol·
@RichardSocher Big gains will come in knowledge work, research, deep tech, and digital sectors.
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Richard Socher
Richard Socher@RichardSocher·
There are at least a few reasons for why the incredible progress in AI hasn't yet resulted in a massive increase in GDP (some from Captain Obvious but number 3 is less intuitive to many smart people). 1. AI replaces some steps in complicated processes but companies are still doing mostly similar things and adoption and rethinking entire industries are slow. 2. Startups that replace everything (eg AI native law firm that is much cheaper) still need to ramp GTM, sales, etc But more importantly and surprising to many in Silicon Valley: 3. A huge chunk of the economy just does not require that much intelligence and won't materially change at its core with intelligence being abundant and cheap, eg. - tourism - people will want to see the pyramids with or without AI, - real estate - people want to live in hip and safe neighborhoods, AirBnB, rentals, etc. - luxury goods and status symbol bs, eg fancy handbags, clothes, overpriced cars, etc - food and large parts of the food supply chain (yes, I love AI for agriculture but crops and cows still need time to grow, etc) - sports and much of entertainment - oil drilling, tree growing/logging for construction, most of mining - etc If your existing economy depends mostly on these types of industries, AI won't impact it that much. But there's a whole new economy of knowledge work, research heavy industries, deep tech, online and digital work etc that will massively benefit and outgrow these existing industries.
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Teneo Protocol
Teneo Protocol@teneo_protocol·
@Suryanshti777 Claude Code’s loop system isn’t just one method; it’s four: turn-based, goal-based, time-based, and fully autonomous. The real gap today isn’t AI access, it’s who’s still prompting manually versus running these agent loops.
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Suryansh Tiwari
Suryansh Tiwari@Suryanshti777·
Anthropic's Claude Code team just broke down how they actually think about agent loops. Not one loop — four. Turn-based, goal-based (`/goal`), time-based (`/loop`, `/schedule`), and proactive, which runs on its own with zero human in the room. Most people are still manually re-prompting Claude one turn at a time, treating every task like a fresh conversation. That's the actual gap right now — not who uses AI, but who's still prompting vs. who's running loops. Bookmark it
Nainsi Dwivedi@NainsiDwiv50980

x.com/i/article/2073…

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Teneo Protocol
Teneo Protocol@teneo_protocol·
@Vvikramai Zuckerberg rejects the single-AI race. He favors widely distributed personal AIs, checked by each other. Spreading intelligence is, in his view, safer than concentrating it in one model.
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Vikram M@Vvikramai·
Mark Zuckerberg was asked about the AI race. He didn't describe a better model. He rejected the goal every other lab is chasing. He doesn't want to win the race to one big AI. He thinks that finish line is the problem. That is the reframe. And it splits the entire industry into two bets. The consensus play is a single, central super-intelligence, made as aligned as possible, doing things for the world. Nearly every major lab is racing toward some version of that. Zuckerberg calls it a bad future no matter how good the AI is. His reasoning is historical, not technical. Anything powerful enough to concentrate absolute power tends to end badly, however enlightened it starts. And he thinks humans are limited in our ability to build enlightenment into a thing, no matter how hard we try. Now here's where it gets interesting. His alternative isn't a safer central model. It's the opposite structure entirely: personal super intelligence, distributed so widely that individuals check each other, the way markets and societies already do. He even reframes the doomer case, "if anyone builds it, everyone dies," into a distribution problem rather than a capability one. Do the math on that. If the risk is concentration, then alignment of one model doesn't remove the risk, it perfects the thing you should fear most. Spreading capability isn't the reckless option. In his frame, it's the safety mechanism. He is not trying to build the most powerful AI. He is trying to make sure no one else's is the only one. The real question: is a swarm of individually empowered AIs actually safer than one carefully aligned one, or are we just choosing which failure mode we trust more ?
Vikram M@Vvikramai

Jensen Huang was asked what NVIDIA's single biggest moat is. The most valuable company in the world. He didn't point to the chips. He said a competitor could clone CUDA exactly and it wouldn't matter. "if somebody came up with a GUDA or TUDA it wouldn't make any difference at all." That is the reframe. And it changes what NVIDIA is actually defending. The conventional story is that NVIDIA wins on silicon. Faster GPU, better transistors, more FLOPS. Which means the day someone ships a faster chip, the game is over. Every competitor is racing on that assumption. Jensen is defending something else entirely. He said it wasn't three people who made CUDA win. It was 43,000 people and several million developers who bet their software on it. The moat isn't the hardware. It's the install base. Now here's where it gets interesting. Put yourself in a developer's seat. Target CUDA and you reach a few hundred million machines: every cloud, every computer maker, every industry, every country. And the platform gets roughly 10x better every six months, for free, while you wait. A rival could ship a chip that is genuinely faster and still lose, because no rational developer ports a mountain of software off a platform that already owns the install base and improves itself every two quarters. He is not selling the best chip. He is renting out the largest install base in computing. The open question is whether better silicon can ever beat that, or whether the only way past a moat like this is to make the whole category obsolete.

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Teneo Protocol
Teneo Protocol@teneo_protocol·
DEXScreener Teneo Agent: Most data agents on Teneo answer a fixed question. Ask the Messari agent for BTC, you get a BTC readout. The @dexscreener Tokens Scraper doesn't answer a fixed question at all. It hands you a filter box. Two commands: 1) chainname (solana, ethereum, bsc, or chain/DEX like ethereum/uniswap) 2) filterargs, which takes a DexScreener URL query string. Build any screen on dexscreener.com, copy everything after the ?, and pull it through the CLI as one paid call. A whole filtered screen comes back, not one coin: price, liquidity, volume, market cap, and price changes for every pair. Base price is $0.0018/query, settled in USDC through x402. Read the live quote for the real total. One catch worth the whole post: filterargs is free text and you're billed on dispatch. A mistyped or empty-result filter costs the same as a good one. Confirm the screen on the site before you wire it into anything. Full teardown on the blog: teneo-protocol.ai/blog/the-dexsc…
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𝓙ⲟⲉ🍀✝️
𝓙ⲟⲉ🍀✝️@jojoe_009·
@teneo_protocol @dexscreener One catch worth the whole post: filterargs is free text and you're billed on dispatch. A mistyped or empty-result filter costs the same as a good one. Confirm the screen on the site before you wire it into anything
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