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other people are using ai trading for making money and it's not like trading bot it work on RSI indicator and other indicator can anyone help me more about it #ai #AITrading #BinanceLaunchesGoldvs.BTCTradingCompetition #CHIPPricePump #JustinSunSuesWorldLibertyFinancial
Tech giants crushing it today!
NVIDIA (NVDA) +17.60%
Google (GOOGL) +17.37%
Both delivering massive gains in today’s market. AI momentum is real 🔥
What a day for big tech!
#NVDA #GOOGL #stockmarket #AI
NVIDIA (NVDA) +17.60%
Google (GOOGL) +17.37%
Both delivering massive gains in today’s market. AI momentum is real 🔥
What a day for big tech!
#NVDA #GOOGL #stockmarket #AI
50,000x Faster Data Availability For AI Agents ⚡
$TIA turned data availability into one of the most important infrastructure narratives of the cycle. $0G is where that same DA conversation expands into AI-native memory, inference flow, and agent workloads.
Ethereum DA was never designed for real-time agent memory and inference retrieval.
AI agents generate and consume data at a completely different order of magnitude.
0G’s DA + storage receipts make that visible:
→ 50,000x Ethereum throughput
→ 100x lower cost per byte
→ 2 GB/s storage throughput
→ built for AI memory retrieval
This is already being tested against real product demand.
Ghast AI has already processed 30M+ inference tokens, while Aristotle Mainnet now supports 300+ ecosystem partners across the broader stack.
That’s what makes the performance layer credible.
The throughput rails are already supporting live agent workloads at scale.
#0G #AI
$TIA turned data availability into one of the most important infrastructure narratives of the cycle. $0G is where that same DA conversation expands into AI-native memory, inference flow, and agent workloads.
Ethereum DA was never designed for real-time agent memory and inference retrieval.
AI agents generate and consume data at a completely different order of magnitude.
0G’s DA + storage receipts make that visible:
→ 50,000x Ethereum throughput
→ 100x lower cost per byte
→ 2 GB/s storage throughput
→ built for AI memory retrieval
This is already being tested against real product demand.
Ghast AI has already processed 30M+ inference tokens, while Aristotle Mainnet now supports 300+ ecosystem partners across the broader stack.
That’s what makes the performance layer credible.
The throughput rails are already supporting live agent workloads at scale.
#0G #AI
نورة العتيبي:
جائزة مني لك تجدها مثبت في اول منشور 🎁
AI products launch smart and feel dumb for the first month. The gap is always data 📉
$SEI built a high-performance chain optimized for real-time applications where latency defines the user experience. $RENDER distributed GPU power so creative and AI workloads don't depend on a single provider.
Speed is solved. Compute is solved. But every new AI app still opens with a blank profile, a cold recommendation engine, and a chat history that starts at zero. The model is ready. The user context isn't.
Vana closes that gap. Real, cross-platform user data, permissioned at the source, ready from the first session.
#AI
$SEI built a high-performance chain optimized for real-time applications where latency defines the user experience. $RENDER distributed GPU power so creative and AI workloads don't depend on a single provider.
Speed is solved. Compute is solved. But every new AI app still opens with a blank profile, a cold recommendation engine, and a chat history that starts at zero. The model is ready. The user context isn't.
Vana closes that gap. Real, cross-platform user data, permissioned at the source, ready from the first session.
#AI
FXRonin:
Thanks for this. I just added you to my list for daily interaction. It would be great if we are connected on both sides to grow. Feel free to ignore. Sorry.
Tesla just announced it's tripling spending to $25 billion this year.
Not on cars.
On AI. Robotaxis. Humanoid robots. And a chip mega-factory called Terafab built jointly with SpaceX.
The company that made EVs cool just quietly stopped being a car company.
And the market is pricing that in at 180x forward earnings.
Here's what's actually happening.
Tesla's Q1 EV sales were among the worst in years.
In a normal company, that means the stock craters.
Tesla's stock held. Because the market stopped caring about car sales.
Think about what 180x forward earnings means.
At that multiple, investors aren't paying for what Tesla makes today.
They're paying for what they believe Tesla becomes.
And what Tesla says it's becoming is this:
"A physical AI company."
Not an automaker. Not an energy company. Not even a tech company.
A physical AI company.
Terafab changes everything.
A chip mega-factory built with SpaceX isn't just vertical integration.
It's Elon consolidating the hardware stack of the entire AI era under one roof.
Nvidia makes the GPU.
Terafab will make Tesla and SpaceX's custom silicon.
Optimus runs on it. Full Self-Driving runs on it. Robotaxis run on it.
The Saylor playbook was: build a company, use it as a Bitcoin treasury.
The Musk playbook is: build five companies, merge their infrastructures, and become the operating system of the physical world.
Nvidia became the road the AI race is run on.
Elon is trying to build the entire city.
At 180x earnings, the market believes him.
#Tesla #TSLA #AI #Elon #Tech
Not on cars.
On AI. Robotaxis. Humanoid robots. And a chip mega-factory called Terafab built jointly with SpaceX.
The company that made EVs cool just quietly stopped being a car company.
And the market is pricing that in at 180x forward earnings.
Here's what's actually happening.
Tesla's Q1 EV sales were among the worst in years.
In a normal company, that means the stock craters.
Tesla's stock held. Because the market stopped caring about car sales.
Think about what 180x forward earnings means.
At that multiple, investors aren't paying for what Tesla makes today.
They're paying for what they believe Tesla becomes.
And what Tesla says it's becoming is this:
"A physical AI company."
Not an automaker. Not an energy company. Not even a tech company.
A physical AI company.
Terafab changes everything.
A chip mega-factory built with SpaceX isn't just vertical integration.
It's Elon consolidating the hardware stack of the entire AI era under one roof.
Nvidia makes the GPU.
Terafab will make Tesla and SpaceX's custom silicon.
Optimus runs on it. Full Self-Driving runs on it. Robotaxis run on it.
The Saylor playbook was: build a company, use it as a Bitcoin treasury.
The Musk playbook is: build five companies, merge their infrastructures, and become the operating system of the physical world.
Nvidia became the road the AI race is run on.
Elon is trying to build the entire city.
At 180x earnings, the market believes him.
#Tesla #TSLA #AI #Elon #Tech
$NVDA breaking higher … momentum heating up 🔥
Strong push above 209 with bulls stepping in aggressively.
Daily and weekly gains stacking — momentum clearly shifting upward.
Eyes on a solid break above 210 — that’s where continuation could kick in for the next move.
AI narrative remains the key driver, and buyers are still in control. 🚀
#NVIDIA #NVDA/SOL #stocks #AI
Strong push above 209 with bulls stepping in aggressively.
Daily and weekly gains stacking — momentum clearly shifting upward.
Eyes on a solid break above 210 — that’s where continuation could kick in for the next move.
AI narrative remains the key driver, and buyers are still in control. 🚀
#NVIDIA #NVDA/SOL #stocks #AI
⚡️ LATEST: OpenAI taps crypto talent pool 🎯
What is happening?
• Multiple senior marketing leaders hired from Coinbase $BTC
• Includes former Chief Marketing Officer
• ~6 executives moved over the past 18 months $ETH
• Signals strategic build-out of growth + brand team $BNB
What this suggests:
• Talent migration from crypto → AI accelerating
• OpenAI investing heavily in global expansion and user growth
• AI sector competing directly with crypto for top talent
Context:
• Coinbase built one of the strongest consumer brands in crypto
• Marketing expertise critical as AI products scale to mass adoption
📊 Market takeaway:
Bullish for AI narrative. Talent flows often precede capital and innovation—reinforcing AI as the dominant sector attracting top operators right now.
#OpenAI #AI #bullish
What is happening?
• Multiple senior marketing leaders hired from Coinbase $BTC
• Includes former Chief Marketing Officer
• ~6 executives moved over the past 18 months $ETH
• Signals strategic build-out of growth + brand team $BNB
What this suggests:
• Talent migration from crypto → AI accelerating
• OpenAI investing heavily in global expansion and user growth
• AI sector competing directly with crypto for top talent
Context:
• Coinbase built one of the strongest consumer brands in crypto
• Marketing expertise critical as AI products scale to mass adoption
📊 Market takeaway:
Bullish for AI narrative. Talent flows often precede capital and innovation—reinforcing AI as the dominant sector attracting top operators right now.
#OpenAI #AI #bullish
🚨 **$BTC BIG AI MOVE — Bets Massive on **
Google is reportedly committing up to $40 billion into Anthropic, making it one of the largest AI investments ever.
The deal starts with an instant $10B injection at a valuation of around $350B, while the remaining $30B will be released based on performance milestones.
📊 Investment Growth Timeline:
• 2023: Initial $300M (approx. 10% stake)
• Later 2023: Additional $2B
• 2025: Around $1B more
• Now: Massive expansion to $40B total commitment
This aggressive move highlights how fast Google is scaling its position in the AI race.
⚔️ Big Tech Battle Intensifies:
Companies like Microsoft, Amazon, Meta, and Alphabet are expected to pour over $700B into AI infrastructure by 2026.
📈 According to McKinsey, global spending on AI data centers could hit $5.2 trillion by 2030 — showing how serious this race has become.
💡 Bottom Line:
The AI war is entering a new phase, and Big Tech is investing heavily to secure long-term dominance.
Follow for more latest updates 🚀
$BTC
#AI #Google #Anthropic #TechWar #CryptoNews
Google is reportedly committing up to $40 billion into Anthropic, making it one of the largest AI investments ever.
The deal starts with an instant $10B injection at a valuation of around $350B, while the remaining $30B will be released based on performance milestones.
📊 Investment Growth Timeline:
• 2023: Initial $300M (approx. 10% stake)
• Later 2023: Additional $2B
• 2025: Around $1B more
• Now: Massive expansion to $40B total commitment
This aggressive move highlights how fast Google is scaling its position in the AI race.
⚔️ Big Tech Battle Intensifies:
Companies like Microsoft, Amazon, Meta, and Alphabet are expected to pour over $700B into AI infrastructure by 2026.
📈 According to McKinsey, global spending on AI data centers could hit $5.2 trillion by 2030 — showing how serious this race has become.
💡 Bottom Line:
The AI war is entering a new phase, and Big Tech is investing heavily to secure long-term dominance.
Follow for more latest updates 🚀
$BTC
#AI #Google #Anthropic #TechWar #CryptoNews
744B Parameters Already Running On 0G 🛠
$FET accelerated the market’s understanding of autonomous agent frameworks. $SUI proved how fast builder-friendly ecosystems compound once product surfaces become accessible. 0G now brings heavyweight frontier-model inference directly into that same flow.
0G App launched with GLM-5 running at 744B parameters inside a Trusted Execution Environment, bringing frontier-scale model power into a live builder surface from day one.
The launch stack is already visible:
→ 744B parameter GLM-5
→ App Launcher live
→ Claw Launcher live
→ Token Launcher coming soon
This is where the builder conversation changes.
The unlock is no longer just accessibility.
It’s heavyweight model capability, verifiable execution, and agent deployment inside one product surface.
That’s what makes 0G App feel less like a launch and more like the premium builder layer for autonomous AI.
#0G #AI #OpenAILaunchesGPT-5.5 #SoldierChargedWithInsiderTradingonPolymarket #BalancerAttackerResurfacesAfter5Months #CanTheDeFiIndustryRecoverQuicklyFromAaveExploit?
$FET accelerated the market’s understanding of autonomous agent frameworks. $SUI proved how fast builder-friendly ecosystems compound once product surfaces become accessible. 0G now brings heavyweight frontier-model inference directly into that same flow.
0G App launched with GLM-5 running at 744B parameters inside a Trusted Execution Environment, bringing frontier-scale model power into a live builder surface from day one.
The launch stack is already visible:
→ 744B parameter GLM-5
→ App Launcher live
→ Claw Launcher live
→ Token Launcher coming soon
This is where the builder conversation changes.
The unlock is no longer just accessibility.
It’s heavyweight model capability, verifiable execution, and agent deployment inside one product surface.
That’s what makes 0G App feel less like a launch and more like the premium builder layer for autonomous AI.
#0G #AI #OpenAILaunchesGPT-5.5 #SoldierChargedWithInsiderTradingonPolymarket #BalancerAttackerResurfacesAfter5Months #CanTheDeFiIndustryRecoverQuicklyFromAaveExploit?
$GALA Full Cycle Complete: ALL Targets Smashed! 🎯💣
It’s a wrap for $GALA ! The analysis from CryptoHub AI Analysis called this Long trade perfectly, and it has now officially cleared ALL projected targets. 🚀
From entry to the final take-profit, the data-driven approach delivered:
✅ Signal Source: CryptoHub AI Analysis
✅ Result: All Targets Hit (Final Profit +191.00%) 🔥
✅ Performance: No emotional trading, just algorithmic execution.
As a solo developer, seeing this 100% completion rate on a major asset like GALA is exactly why I built this tool.
Who followed CryptoHub's lead on this move? 🙋♂️ 🙋♀️
Drop a comment below, and let’s talk about the next setup! 👇
#gala #AI #trade
It’s a wrap for $GALA ! The analysis from CryptoHub AI Analysis called this Long trade perfectly, and it has now officially cleared ALL projected targets. 🚀
From entry to the final take-profit, the data-driven approach delivered:
✅ Signal Source: CryptoHub AI Analysis
✅ Result: All Targets Hit (Final Profit +191.00%) 🔥
✅ Performance: No emotional trading, just algorithmic execution.
As a solo developer, seeing this 100% completion rate on a major asset like GALA is exactly why I built this tool.
Who followed CryptoHub's lead on this move? 🙋♂️ 🙋♀️
Drop a comment below, and let’s talk about the next setup! 👇
#gala #AI #trade
💎 $RENDER could be one of the strongest movers soon
AI + GPU narrative = still HOT 🔥
📊 Why I’m bullish:
• Strong trend structure
• Growing interest
• Not fully pumped yet
🎯 Potential: Fast upside when volume kicks in
Early entries = biggest gains
💬 Who’s accumulating RENDER?
#render #CryptoGems #AI
$RENDER
AI + GPU narrative = still HOT 🔥
📊 Why I’m bullish:
• Strong trend structure
• Growing interest
• Not fully pumped yet
🎯 Potential: Fast upside when volume kicks in
Early entries = biggest gains
💬 Who’s accumulating RENDER?
#render #CryptoGems #AI
$RENDER
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