artificialinteligence
1.3M vistas
769 están debatiendo
Hot
Lo último
🇺🇸🎯 IL PENTAGONO SCEGLIE GOOGLE GEMINI: L’INTELLIGENZA ARTIFICIALE ENTRA NELL’ERA MILITARE 🎯🇺🇸
Il Dipartimento della Difesa degli Stati Uniti ha annunciato l’adozione ufficiale di Google Gemini, il potente modello di intelligenza artificiale generativa, per la piattaforma militare GenAi.mil.
Il Segretario alla Difesa Pete Hegseth ha commentato: “Il futuro della guerra americana è qui, e si chiama AI” — segnando l’inizio di una nuova fase nella strategia difensiva statunitense.
Secondo quanto riportato, la piattaforma GenAi.mil sarà utilizzata per analizzare in tempo reale immagini, video e dati tattici provenienti da diversi teatri operativi.
L’obiettivo è offrire ai comandanti militari un vantaggio strategico immediato, riducendo drasticamente i tempi di valutazione delle minacce e di pianificazione delle operazioni.
Google, da parte sua, ha assicurato che il modello Gemini è stato personalizzato per garantire sicurezza, controllo etico e classificazione rigorosa dei dati sensibili.
La collaborazione solleva interrogativi circa l’uso dell’intelligenza artificiale in ambito bellico e i rischi connessi a decisioni sempre più automatizzate.
Con questa mossa, Washington punta a mantenere la supremazia tecnologica in un contesto in cui anche Cina e Russia stanno accelerando lo sviluppo di proprie piattaforme di AI militare.
#breakingnews #Google #GeminiAI #usa #ArtificialInteligence
Il Dipartimento della Difesa degli Stati Uniti ha annunciato l’adozione ufficiale di Google Gemini, il potente modello di intelligenza artificiale generativa, per la piattaforma militare GenAi.mil.
Il Segretario alla Difesa Pete Hegseth ha commentato: “Il futuro della guerra americana è qui, e si chiama AI” — segnando l’inizio di una nuova fase nella strategia difensiva statunitense.
Secondo quanto riportato, la piattaforma GenAi.mil sarà utilizzata per analizzare in tempo reale immagini, video e dati tattici provenienti da diversi teatri operativi.
L’obiettivo è offrire ai comandanti militari un vantaggio strategico immediato, riducendo drasticamente i tempi di valutazione delle minacce e di pianificazione delle operazioni.
Google, da parte sua, ha assicurato che il modello Gemini è stato personalizzato per garantire sicurezza, controllo etico e classificazione rigorosa dei dati sensibili.
La collaborazione solleva interrogativi circa l’uso dell’intelligenza artificiale in ambito bellico e i rischi connessi a decisioni sempre più automatizzate.
Con questa mossa, Washington punta a mantenere la supremazia tecnologica in un contesto in cui anche Cina e Russia stanno accelerando lo sviluppo di proprie piattaforme di AI militare.
#breakingnews #Google #GeminiAI #usa #ArtificialInteligence
If you didn't know, @Ocean Protocol constantly offers various opportunities to earn money 🧐
Whether you are a data scientist, just an enthusiast, or a trader, there are activities for you.
Right now, the main one is predictoor, where you can make predictions on the price movement of crypto assets.
If the outcome is positive, you earn money; if it is negative, you lose your bet.
There is also Active Data Annotations, where you can complete short tasks and get paid.
Anyone can participate here - the goal is to create high-quality data sets.
There was also the option of data farming, but this activity has been temporarily suspended.
#data #ArtificialInteligence
Whether you are a data scientist, just an enthusiast, or a trader, there are activities for you.
Right now, the main one is predictoor, where you can make predictions on the price movement of crypto assets.
If the outcome is positive, you earn money; if it is negative, you lose your bet.
There is also Active Data Annotations, where you can complete short tasks and get paid.
Anyone can participate here - the goal is to create high-quality data sets.
There was also the option of data farming, but this activity has been temporarily suspended.
#data #ArtificialInteligence
PLUMS is a meme-coin built on the Ethereum blockchain, launched in 2023 as a lighthearted tribute to an internet meme.
Its stated purpose is fun and community — aiming to appeal to crypto users who enjoy a playful, decentralized token rather than serious DeFi or smart-contract utility.
PLUMS proponents emphasize features like a “no-tax” policy (i.e. no trading/gain taxes) and a non-centralized supply distribution among wallets.
Because of its meme-coin status, PLUMS carries high volatility and speculative risk; its value depends heavily on market sentiment, community hype, and meme-driven demand rather than underlying fundamentals.
#BTCVSGOLD
#CPIWatch
#BinanceBlockchainWeek
#squarecreator
#ArtificialInteligence
$PLUME
Its stated purpose is fun and community — aiming to appeal to crypto users who enjoy a playful, decentralized token rather than serious DeFi or smart-contract utility.
PLUMS proponents emphasize features like a “no-tax” policy (i.e. no trading/gain taxes) and a non-centralized supply distribution among wallets.
Because of its meme-coin status, PLUMS carries high volatility and speculative risk; its value depends heavily on market sentiment, community hype, and meme-driven demand rather than underlying fundamentals.
#BTCVSGOLD
#CPIWatch
#BinanceBlockchainWeek
#squarecreator
#ArtificialInteligence
$PLUME
🎯 BLOCK, ANTHROPIC E OPENAI INSIEME PER UN’INTELLIGENZA ARTIFICIALE OPEN SOURCE 🎯
La Linux Foundation ha annunciato la nascita della Agentic AI Foundation (AAIF), una nuova iniziativa sostenuta da Block (l’azienda di Jack Dorsey), Anthropic e OpenAI.
L’obiettivo è creare un punto di riferimento neutrale e open source nello sviluppo di agenti AI autonomi, capaci di agire, utilizzare strumenti e prendere decisioni in modo indipendente.
Il punto cruciale è la direzione che prenderà questa tecnologia: sarà un ecosistema aperto e interoperabile, oppure finirà rinchiuso dentro i soliti giardini recintati controllati dai giganti tech?
L’AAIF si occuperà di coordinare progetti chiave come MCP, Goose e AGENTSmd, fissare standard comuni per l’interoperabilità, finanziare conferenze e promuovere lo sviluppo collaborativo e trasparente di questa nuova generazione di software intelligente.
Tra i membri fondatori di livello Platinum si trovano nomi del calibro di Amazon Web Services, Google, Microsoft, Bloomberg e Cloudflare — un chiaro segnale che l’intero settore riconosce la portata di questo cambiamento.
Senza un approccio aperto e condiviso, i rischi sono evidenti: innovazione rallentata, adozione limitata, ostacoli per i piccoli team di ricerca e minor progresso scientifico.
L’obiettivo dell’AAIF è evitare questa frammentazione, gettando le basi per un futuro in cui l’intelligenza artificiale agentica diventi un bene collettivo, sviluppato in modo etico, trasparente e interoperabile.
#breakingnews #block #Anthropic #OpenAI #ArtificialInteligence
La Linux Foundation ha annunciato la nascita della Agentic AI Foundation (AAIF), una nuova iniziativa sostenuta da Block (l’azienda di Jack Dorsey), Anthropic e OpenAI.
L’obiettivo è creare un punto di riferimento neutrale e open source nello sviluppo di agenti AI autonomi, capaci di agire, utilizzare strumenti e prendere decisioni in modo indipendente.
Il punto cruciale è la direzione che prenderà questa tecnologia: sarà un ecosistema aperto e interoperabile, oppure finirà rinchiuso dentro i soliti giardini recintati controllati dai giganti tech?
L’AAIF si occuperà di coordinare progetti chiave come MCP, Goose e AGENTSmd, fissare standard comuni per l’interoperabilità, finanziare conferenze e promuovere lo sviluppo collaborativo e trasparente di questa nuova generazione di software intelligente.
Tra i membri fondatori di livello Platinum si trovano nomi del calibro di Amazon Web Services, Google, Microsoft, Bloomberg e Cloudflare — un chiaro segnale che l’intero settore riconosce la portata di questo cambiamento.
Senza un approccio aperto e condiviso, i rischi sono evidenti: innovazione rallentata, adozione limitata, ostacoli per i piccoli team di ricerca e minor progresso scientifico.
L’obiettivo dell’AAIF è evitare questa frammentazione, gettando le basi per un futuro in cui l’intelligenza artificiale agentica diventi un bene collettivo, sviluppato in modo etico, trasparente e interoperabile.
#breakingnews #block #Anthropic #OpenAI #ArtificialInteligence
🇺🇸 TRUMP VUOLE AZZERARE LE LEGGI STATALI SULL’AI: COSA CAMBIA DAVVERO 🇺🇸
Donald Trump ha promesso un ordine esecutivo per creare un’unica “rulebook” federale sull’intelligenza artificiale, cancellando di fatto il mosaico di norme approvate da singoli stati su deepfake, privacy, lavoro e sicurezza dei modelli.
In un post su Truth Social ha avvertito che 50 regole diverse “distruggerebbero l’AI nella sua infanzia” e renderebbero impossibile per le aziende ottenere decine di autorizzazioni per ogni nuovo prodotto.
Secondo le anticipazioni, l’ordine incaricherebbe il procuratore generale Pam Bondi di creare una AI Litigation Task Force per portare in tribunale gli stati, sostenendo che molte leggi sull’AI violano il commercio interstatale o sono precluse da norme federali.
In parallelo, alcune agenzie potrebbero minacciare il taglio di fondi federali per banda larga e altri programmi agli stati considerati troppo “ostili” verso le big tech dell’AI.
Questo arriva mentre tutti i 50 stati hanno presentato proposte di legge sull’AI nel 2025 e almeno 38 hanno già approvato quasi 100 misure, spesso su deepfake elettorali, discriminazione algoritmica nel lavoro e obblighi di valutazione dei rischi per i modelli di grandi dimensioni.
Molti governatori, procuratori generali e parlamentari statali – sia repubblicani sia democratici – accusano Trump di “overreach” federale e difendono il diritto degli stati a proteggere consumatori, lavoratori e processo democratico.
Sul fronte opposto, colossi come OpenAI, Google e venture come Andreessen Horowitz spingono da mesi per la preemption federale, sostenendo che un patchwork regolatorio penalizza startup e innovazione USA rispetto a Cina e altri competitor.
In gioco non c’è solo chi scrive le regole dell’AI, ma chi controllerà il potere politico ed economico di questa infrastruttura nei prossimi anni.
#breakingnews #TRUMP #usa #ArtificialInteligence
Donald Trump ha promesso un ordine esecutivo per creare un’unica “rulebook” federale sull’intelligenza artificiale, cancellando di fatto il mosaico di norme approvate da singoli stati su deepfake, privacy, lavoro e sicurezza dei modelli.
In un post su Truth Social ha avvertito che 50 regole diverse “distruggerebbero l’AI nella sua infanzia” e renderebbero impossibile per le aziende ottenere decine di autorizzazioni per ogni nuovo prodotto.
Secondo le anticipazioni, l’ordine incaricherebbe il procuratore generale Pam Bondi di creare una AI Litigation Task Force per portare in tribunale gli stati, sostenendo che molte leggi sull’AI violano il commercio interstatale o sono precluse da norme federali.
In parallelo, alcune agenzie potrebbero minacciare il taglio di fondi federali per banda larga e altri programmi agli stati considerati troppo “ostili” verso le big tech dell’AI.
Questo arriva mentre tutti i 50 stati hanno presentato proposte di legge sull’AI nel 2025 e almeno 38 hanno già approvato quasi 100 misure, spesso su deepfake elettorali, discriminazione algoritmica nel lavoro e obblighi di valutazione dei rischi per i modelli di grandi dimensioni.
Molti governatori, procuratori generali e parlamentari statali – sia repubblicani sia democratici – accusano Trump di “overreach” federale e difendono il diritto degli stati a proteggere consumatori, lavoratori e processo democratico.
Sul fronte opposto, colossi come OpenAI, Google e venture come Andreessen Horowitz spingono da mesi per la preemption federale, sostenendo che un patchwork regolatorio penalizza startup e innovazione USA rispetto a Cina e altri competitor.
In gioco non c’è solo chi scrive le regole dell’AI, ma chi controllerà il potere politico ed economico di questa infrastruttura nei prossimi anni.
#breakingnews #TRUMP #usa #ArtificialInteligence
Sol Bierut jroj:
Skynet sta arrivando e quando capirà che hli uomini sono deboli prendere il potere. Non si sta mai sereni...devono sempre strafare
AI-powered trading results on the BEL, EDU, ZEN, PHB, and DUSK Crypto markets: +1323% Return
1. Overview — AI Trading Breakthroughs Capturing Market Momentum
In 2025, financial markets are witnessing a historic transformation as artificial intelligence expands its role in trading. Tickeron, a pioneer in AI-driven analytics, continues to push the frontier with its latest AI Trading Robot operating on BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD. Delivering an astonishing annualized return of +1323% and over $155,603 in closed-trade profit from $2,000 per trade across just 128 days, the robot demonstrates how machine learning, predictive analytics, and rapid-interval FLMs redefine modern crypto trading.
This automated agent, trading both long and short positions, leverages deep-trained Financial Learning Models to detect micro-trends before human traders react—making it one of Tickeron’s most impressive AI-powered achievements to date.
2. Key Takeaways
+1323% annualized return on BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD, verified over 128 days.AI multi-algorithmic confirmation, combining predictive analytics with real-time ML signals.Long + short strategy, enabling high performance in rising or falling crypto markets.FLM upgrades enabling new 15-min and 5-min AI Agents responding faster than ever.Ideal for beginners and professionals, offering guided automation and advanced risk controls.
3. Top Global Market Events Influencing Today’s Landscape
As AI trading accelerates, markets across crypto, equities, and commodities are experiencing heightened volatility:
Bitcoin recently retested multi-month highs, driven by institutional accumulation and ETF inflows, creating a spill-over effect boosting altcoin momentum.ETH gas fees dropped to multi-year lows, encouraging renewed DeFi activity and attracting liquidity into mid-cap assets like BEL, EDU, and ZEN.U.S. CPI data softened, fueling risk-asset rallies and giving intraday traders more opportunities during volatility spikes.AI-themed stocks surged globally, with chip manufacturers hitting fresh annual highs, reflecting growing confidence in AI automation across industries.Altcoin rotation remains strong, benefiting algorithmic trading systems that capitalize on micro-reversals and momentum surges.
These events have amplified the effectiveness of Tickeron’s 60-min AI agent and significantly increased signal accuracy in fast-moving crypto assets.
4. Tickeron’s Robot Achievements and Innovations
Tickeron continues enhancing its AI trading infrastructure, unlocking new layers of intelligence:
Corridor Models
Identify structured price channels and exploit overbought/oversold conditions.
Single Agents, Double Agents, Multi-Agents
These advanced ML systems combine layered confirmations, each validating the other before execution.
Inverse ETFs & Crypto Models
Allow the AI to profit from bearish periods with precision-timed short entries.
Day & Swing Trading Models
Optimized for traders needing rapid signals (5-min, 15-min) or mid-range strategies (60-min).
Momentum + Price Action Fusion
FLMs merge classical technical analysis with deep machine learning to confirm breakouts, reversals, and consolidation breaks.
Noise-Filtering Technology
Removes weak or misleading signals, dramatically improving accuracy during high volatility.
Tickeron’s continuous evolution ensures traders receive smarter, faster, and more adaptive AI automation.
5. General Information — The Power of 60-Minute FLM Trading
The 60-minute AI Trading Agent blends predictive analytics and real-time decision-making. This trading system:
Utilizes Financial Learning Models (FLMs) trained on vast multi-year datasets.
Detects patterns and anomalies earlier than traditional indicators.Provides dynamic profit targets (3%–20%) based on volatility.Uses adaptive stop-losses that expand or contract depending on market speed.Applies layered entries and exits to reduce risk and optimize gain extraction.Continuously learns via real-time data ingestion.
This makes the agent powerful for both novice and institutional-level traders.
6. Other AI Products by Tickeron
Tickeron offers a growing ecosystem of AI-powered tools designed for equities, crypto, ETFs, and forex:
AI Trend Prediction Engine – ViewAI Pattern Search Engine – ViewAI Real-Time Patterns – ViewAI Screener – ViewDaily Buy/Sell Signals – ViewCopy Trading – ViewBot Trading + Virtual Agents – ViewSignal Agents – View
Real-Money Robots – View
Each product integrates proprietary FLMs, enabling seamless automation across markets.
7. FLMs at the Core + Tickeron CEO’s Vision for the Future
Tickeron’s Financial Learning Models (FLMs) form the intelligence engine behind all AI Agents. Similar to how OpenAI’s LLMs process language, FLMs analyze massive quantities of:
These upgraded models now power 15-minute and 5-minute AI Agents, providing much faster learning cycles and ultra-responsive decision-making.
Tickeron’s CEO, Sergey Savastiouk, Ph.D., emphasizes the mission:
“Accelerating ML cycles to 15 and even 5 minutes brings a new level of precision and adaptability not previously achievable.”
This technological leap democratizes institutional-grade AI trading tools, making advanced automation accessible to all investors.
Explore the latest agents here:
AI Agents
Bot Trading
Follow news updates:
Tickeron on X
8. Comparison Table — Evolution of Tickeron Robots
Robot GenerationML TimeframeSignal SpeedStrengthsIdeal ForGen 1 (Classic)60 minModerateLong-term precision, stable entriesSwing tradersGen 2 (Enhanced FLMs)30 minFasterBetter volatility responseDay tradersGen 3 (Rapid ML)15 minHighIntraday timing, improved reversalsActive tradersGen 4 (Ultra-Fast ML)5 minVery HighMicro-trend detection, fast exitsScalpers / high-frequencyGen 5 (Hybrid Multi-Agent)Multi-TFVery HighCombined confirmations, multi-agent logicProfessionals & funds
Conclusion — A New Era of AI-Driven Crypto Trading
Tickeron’s AI Trading Robot for BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD showcases how advanced machine learning can outperform traditional trading methods. With a remarkable +1323% annualized return, multi-agent modeling, predictive analytics, and the launch of 5-min and 15-min AI Agents, the platform is setting new industry standards.
As markets evolve, traders armed with Tickeron’s FLM-powered tools gain the speed, accuracy, and adaptability required for success in an increasingly competitive global environment.
Explore all products, agents, and robots at Tickeron.com.
$BEL $ZEN $DUSK
#HotTrends #TradingSignals #ArtificialInteligence #Tickeron #news
In 2025, financial markets are witnessing a historic transformation as artificial intelligence expands its role in trading. Tickeron, a pioneer in AI-driven analytics, continues to push the frontier with its latest AI Trading Robot operating on BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD. Delivering an astonishing annualized return of +1323% and over $155,603 in closed-trade profit from $2,000 per trade across just 128 days, the robot demonstrates how machine learning, predictive analytics, and rapid-interval FLMs redefine modern crypto trading.
This automated agent, trading both long and short positions, leverages deep-trained Financial Learning Models to detect micro-trends before human traders react—making it one of Tickeron’s most impressive AI-powered achievements to date.
2. Key Takeaways
+1323% annualized return on BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD, verified over 128 days.AI multi-algorithmic confirmation, combining predictive analytics with real-time ML signals.Long + short strategy, enabling high performance in rising or falling crypto markets.FLM upgrades enabling new 15-min and 5-min AI Agents responding faster than ever.Ideal for beginners and professionals, offering guided automation and advanced risk controls.
3. Top Global Market Events Influencing Today’s Landscape
As AI trading accelerates, markets across crypto, equities, and commodities are experiencing heightened volatility:
Bitcoin recently retested multi-month highs, driven by institutional accumulation and ETF inflows, creating a spill-over effect boosting altcoin momentum.ETH gas fees dropped to multi-year lows, encouraging renewed DeFi activity and attracting liquidity into mid-cap assets like BEL, EDU, and ZEN.U.S. CPI data softened, fueling risk-asset rallies and giving intraday traders more opportunities during volatility spikes.AI-themed stocks surged globally, with chip manufacturers hitting fresh annual highs, reflecting growing confidence in AI automation across industries.Altcoin rotation remains strong, benefiting algorithmic trading systems that capitalize on micro-reversals and momentum surges.
These events have amplified the effectiveness of Tickeron’s 60-min AI agent and significantly increased signal accuracy in fast-moving crypto assets.
4. Tickeron’s Robot Achievements and Innovations
Tickeron continues enhancing its AI trading infrastructure, unlocking new layers of intelligence:
Corridor Models
Identify structured price channels and exploit overbought/oversold conditions.
Single Agents, Double Agents, Multi-Agents
These advanced ML systems combine layered confirmations, each validating the other before execution.
Inverse ETFs & Crypto Models
Allow the AI to profit from bearish periods with precision-timed short entries.
Day & Swing Trading Models
Optimized for traders needing rapid signals (5-min, 15-min) or mid-range strategies (60-min).
Momentum + Price Action Fusion
FLMs merge classical technical analysis with deep machine learning to confirm breakouts, reversals, and consolidation breaks.
Noise-Filtering Technology
Removes weak or misleading signals, dramatically improving accuracy during high volatility.
Tickeron’s continuous evolution ensures traders receive smarter, faster, and more adaptive AI automation.
5. General Information — The Power of 60-Minute FLM Trading
The 60-minute AI Trading Agent blends predictive analytics and real-time decision-making. This trading system:
Utilizes Financial Learning Models (FLMs) trained on vast multi-year datasets.
Detects patterns and anomalies earlier than traditional indicators.Provides dynamic profit targets (3%–20%) based on volatility.Uses adaptive stop-losses that expand or contract depending on market speed.Applies layered entries and exits to reduce risk and optimize gain extraction.Continuously learns via real-time data ingestion.
This makes the agent powerful for both novice and institutional-level traders.
6. Other AI Products by Tickeron
Tickeron offers a growing ecosystem of AI-powered tools designed for equities, crypto, ETFs, and forex:
AI Trend Prediction Engine – ViewAI Pattern Search Engine – ViewAI Real-Time Patterns – ViewAI Screener – ViewDaily Buy/Sell Signals – ViewCopy Trading – ViewBot Trading + Virtual Agents – ViewSignal Agents – View
Real-Money Robots – View
Each product integrates proprietary FLMs, enabling seamless automation across markets.
7. FLMs at the Core + Tickeron CEO’s Vision for the Future
Tickeron’s Financial Learning Models (FLMs) form the intelligence engine behind all AI Agents. Similar to how OpenAI’s LLMs process language, FLMs analyze massive quantities of:
These upgraded models now power 15-minute and 5-minute AI Agents, providing much faster learning cycles and ultra-responsive decision-making.
Tickeron’s CEO, Sergey Savastiouk, Ph.D., emphasizes the mission:
“Accelerating ML cycles to 15 and even 5 minutes brings a new level of precision and adaptability not previously achievable.”
This technological leap democratizes institutional-grade AI trading tools, making advanced automation accessible to all investors.
Explore the latest agents here:
AI Agents
Bot Trading
Follow news updates:
Tickeron on X
8. Comparison Table — Evolution of Tickeron Robots
Robot GenerationML TimeframeSignal SpeedStrengthsIdeal ForGen 1 (Classic)60 minModerateLong-term precision, stable entriesSwing tradersGen 2 (Enhanced FLMs)30 minFasterBetter volatility responseDay tradersGen 3 (Rapid ML)15 minHighIntraday timing, improved reversalsActive tradersGen 4 (Ultra-Fast ML)5 minVery HighMicro-trend detection, fast exitsScalpers / high-frequencyGen 5 (Hybrid Multi-Agent)Multi-TFVery HighCombined confirmations, multi-agent logicProfessionals & funds
Conclusion — A New Era of AI-Driven Crypto Trading
Tickeron’s AI Trading Robot for BEL.USD, EDU.USD, ZEN.USD, PHB.USD, and DUSK.USD showcases how advanced machine learning can outperform traditional trading methods. With a remarkable +1323% annualized return, multi-agent modeling, predictive analytics, and the launch of 5-min and 15-min AI Agents, the platform is setting new industry standards.
As markets evolve, traders armed with Tickeron’s FLM-powered tools gain the speed, accuracy, and adaptability required for success in an increasingly competitive global environment.
Explore all products, agents, and robots at Tickeron.com.
$BEL $ZEN $DUSK
#HotTrends #TradingSignals #ArtificialInteligence #Tickeron #news
🚨 Robots Doing Works! Humans Reap The Rewards.
🤝📎📲📞 In my Profile Bio
#INNOVATION
#ArtificialInteligence
#Weeklypayout
#stable-traders
$SOL
$XRP
$BTC
🤝📎📲📞 In my Profile Bio
#INNOVATION
#ArtificialInteligence
#Weeklypayout
#stable-traders
$SOL
$XRP
$BTC
🚨WHY WE NEED LOWER INTEREST RATES IN AMERICA 🇺🇸
The main reason we need much lower #interestrates in America is because the economy is getting smacked with multiple deflationary forces.
#ArtificialInteligence is empowering companies to drive more profits with fewer employees. This is deflationary.
Robotics is squeezing inefficiency out of companies, factories, traffic, and warehouses. This is deflationary.
Deportations are reducing the number of people available for certain jobs, while driving down demand for homes, food, and gas. This is deflationary.
$BTC
If you have these generational deflationary trends hitting the US economy, yet you keep interest rates artificially high, America will end up in a very bad place.
The situation is clear. Technology and immigration policy are changing the structure of the economy.
Lower rates are essential for the foreseeable future.
ALWAYS DYOR 💯💯💯💯
#interestrates #Inflation
$SOL
#ArtificialInteligence is empowering companies to drive more profits with fewer employees. This is deflationary.
Robotics is squeezing inefficiency out of companies, factories, traffic, and warehouses. This is deflationary.
Deportations are reducing the number of people available for certain jobs, while driving down demand for homes, food, and gas. This is deflationary.
$BTC
If you have these generational deflationary trends hitting the US economy, yet you keep interest rates artificially high, America will end up in a very bad place.
The situation is clear. Technology and immigration policy are changing the structure of the economy.
Lower rates are essential for the foreseeable future.
ALWAYS DYOR 💯💯💯💯
#interestrates #Inflation
$SOL
🤯 The $12.5 BILLION Debt Drop: Did the US Treasury Just Go Rogue? 🚨 Alright, buckle up, because t
Alright, buckle up, because the suits in D.C. just pulled off a financial stunt that's pure, unadulterated chaos. We're not talking about some standard quarter-end shuffle; we're talking about a $12.5 BILLION debt repurchase—the biggest damn buyback in U.S. history. Seriously, $12.5B just poof went back into the Treasury's pocket.
The official word? Crickets. The market reaction? A collective, slack-jawed "WTF."
This isn't just an unexpected trade; it's a financial mic drop. Governments don't do this kind of heavy lifting without a reason, especially when the global economy is feeling wobbly. So, let's unpack the spicy theories cooking on the financial grills:
The Yield Stabilizer: They're trying to inject some calm into the long-term bond market before things get truly manic. A boring, but plausible, move from the boring people.
The Stealth Restructure: This is the juicy one. A quiet liquidity play, prepping the ground for some massive, structural overhaul of the entire financial system. Think of it as moving furniture before the major renovation.
The Coded Warning: The darkest, most intriguing theory. That this buyback is the signal—a blinking, flashing alert that the major economic shift everyone's been dreading is already underway, just out of public view.
Then, just to throw gasoline on the bonfire, in walks President Trump. He didn't just comment; he hinted. A vague, but massive, signal that this $12.5B bombshell might just be the appetizer for a much, much larger economic feast we haven't even seen the menu for yet.
🪙 The Crypto Chaos Engine is Revving
Of course, when the traditional system starts shaking, the digital wild west puts on its boots. The crypto streets are absolutely buzzing, sensing volatility like a shark smells blood. Keep your eyes locked on the tickers:
$RED is looking a little bruised at -14.21%. Is this a knee-jerk, or a deep correction?
$SAPIEN is showing a softer dip at -4.22%.
$VOXEL is actually trying to rise from the ashes, up +1.69%.
The message is clear: the most powerful government on Earth just made a challenge with $12.5B, and it wasn't an accident.
#ArtificialInteligence
#usa #billion #farmancryptoo
The official word? Crickets. The market reaction? A collective, slack-jawed "WTF."
This isn't just an unexpected trade; it's a financial mic drop. Governments don't do this kind of heavy lifting without a reason, especially when the global economy is feeling wobbly. So, let's unpack the spicy theories cooking on the financial grills:
The Yield Stabilizer: They're trying to inject some calm into the long-term bond market before things get truly manic. A boring, but plausible, move from the boring people.
The Stealth Restructure: This is the juicy one. A quiet liquidity play, prepping the ground for some massive, structural overhaul of the entire financial system. Think of it as moving furniture before the major renovation.
The Coded Warning: The darkest, most intriguing theory. That this buyback is the signal—a blinking, flashing alert that the major economic shift everyone's been dreading is already underway, just out of public view.
Then, just to throw gasoline on the bonfire, in walks President Trump. He didn't just comment; he hinted. A vague, but massive, signal that this $12.5B bombshell might just be the appetizer for a much, much larger economic feast we haven't even seen the menu for yet.
🪙 The Crypto Chaos Engine is Revving
Of course, when the traditional system starts shaking, the digital wild west puts on its boots. The crypto streets are absolutely buzzing, sensing volatility like a shark smells blood. Keep your eyes locked on the tickers:
$RED is looking a little bruised at -14.21%. Is this a knee-jerk, or a deep correction?
$SAPIEN is showing a softer dip at -4.22%.
$VOXEL is actually trying to rise from the ashes, up +1.69%.
The message is clear: the most powerful government on Earth just made a challenge with $12.5B, and it wasn't an accident.
#ArtificialInteligence
#usa #billion #farmancryptoo
❓Can AI Really Predict Crypto Prices? $XRP , $BTC & $SOL by the End of 2025
AI-generated price predictions for crypto are all the rage - but how reliable are they? On CryptoNews recent projections from ChatGPT suggest monumental swings for XRP, $BTC , and Solana by year-end:
XRP: Could drop to $0.80 or skyrocket to $15.
Bitcoin: Might retreat to $75,000 or rally toward $230,000.
Solana: AI sees a downside to $30 or a bullish wave up to $1,200.
Impressive numbers, right? 😄
But real-world results tell a different story.
Historical examples show AI predictions often miss both magnitude and timing. Price shocks, regulatory updates, whale moves, or a single viral tweet can completely invalidate a model’s forecast.
As one analysis points out: AI is a fantastic tool for analysis and insights, but a terrible oracle for precise crypto predictions. Emotions, panic, memes, and market psychology are what truly move crypto - not just data.
▪ Bitcoin: On September 17, 2025, AI predicted BTC would be around $125,000 in two months. By November 26, it was trading near $86,700 - far below the forecast.
▪ WhiteBIT Coin: AI expected $46–50, but the coin hit $62.96 shortly after - showing AI underestimated its resilience.
▪ XRP: AI predicted $3.20 in two months; it was trading at $2.20, missing both the local trends and market sentiment.
These examples show that AI struggles with magnitude, timing, and unexpected volatility.
💡 Use AI to inform, not to blindly trade. Crypto markets are human-driven chaos - and no algorithm can fully predict that.
#BTCVSGOLD #BinanceBlockchainWeek #AITrading #ArtificialInteligence
AI-generated price predictions for crypto are all the rage - but how reliable are they? On CryptoNews recent projections from ChatGPT suggest monumental swings for XRP, $BTC , and Solana by year-end:
XRP: Could drop to $0.80 or skyrocket to $15.
Bitcoin: Might retreat to $75,000 or rally toward $230,000.
Solana: AI sees a downside to $30 or a bullish wave up to $1,200.
Impressive numbers, right? 😄
But real-world results tell a different story.
Historical examples show AI predictions often miss both magnitude and timing. Price shocks, regulatory updates, whale moves, or a single viral tweet can completely invalidate a model’s forecast.
As one analysis points out: AI is a fantastic tool for analysis and insights, but a terrible oracle for precise crypto predictions. Emotions, panic, memes, and market psychology are what truly move crypto - not just data.
▪ Bitcoin: On September 17, 2025, AI predicted BTC would be around $125,000 in two months. By November 26, it was trading near $86,700 - far below the forecast.
▪ WhiteBIT Coin: AI expected $46–50, but the coin hit $62.96 shortly after - showing AI underestimated its resilience.
▪ XRP: AI predicted $3.20 in two months; it was trading at $2.20, missing both the local trends and market sentiment.
These examples show that AI struggles with magnitude, timing, and unexpected volatility.
💡 Use AI to inform, not to blindly trade. Crypto markets are human-driven chaos - and no algorithm can fully predict that.
#BTCVSGOLD #BinanceBlockchainWeek #AITrading #ArtificialInteligence
$BEL , $EDU , $ZEN , PHB, DUSK - Trading ResultsAI Trading Agent, Long and Short, 60min
Annualized Return +1428%
Closed Trades P/L $156,311
The AI Trading Robot is an automated trading system designed to trade the BEL.USD, EDU.USD, ZEN.USD, PHB.USD, DUSK.USD cryptocurrency tickers in both long and short positions. This robot is tailored for investors who aim to capitalize on both upward and downward price movements of BEL.USD, EDU.USD, ZEN.USD, PHB.USD, DUSK.USD, adapting to market trends without being limited to a single directional strategy. Additionally, the robot's buy and sell signals can serve as valuable indicators for hedging strategies, helping investors manage risk in their portfolios by signaling potential price reversals or momentum shifts.
This AI Trading Agent, 60min is an advanced automated trading solution powered by Tickeron’s proprietary Financial Learning Models (FLMs). It leverages artificial intelligence and machine learning to detect market opportunities across cryptocurrencies and high-liquidity assets. By integrating multiple strategies into a single framework, the system identifies precise buy and sell signals while dynamically managing positions to maximize profitability and reduce risk.
Suitability
This trading agent is designed for both novice and professional traders who require robust tools to navigate volatile markets. Beginners benefit from AI-driven guidance, clear signal generation, and simplified execution, while seasoned traders gain access to advanced analytics, real-time risk assessment, and adaptable strategies. The agent is especially suitable for those who value:
Automated decision-making without relying on a single indicator.
Flexible trade management, including multi-step entries and exits.
Adaptive strategies that thrive in both short-term and mid-term market conditions.
#HotTrends #TradingSignals #news #Tickeron #ArtificialInteligence
Annualized Return +1428%
Closed Trades P/L $156,311
The AI Trading Robot is an automated trading system designed to trade the BEL.USD, EDU.USD, ZEN.USD, PHB.USD, DUSK.USD cryptocurrency tickers in both long and short positions. This robot is tailored for investors who aim to capitalize on both upward and downward price movements of BEL.USD, EDU.USD, ZEN.USD, PHB.USD, DUSK.USD, adapting to market trends without being limited to a single directional strategy. Additionally, the robot's buy and sell signals can serve as valuable indicators for hedging strategies, helping investors manage risk in their portfolios by signaling potential price reversals or momentum shifts.
This AI Trading Agent, 60min is an advanced automated trading solution powered by Tickeron’s proprietary Financial Learning Models (FLMs). It leverages artificial intelligence and machine learning to detect market opportunities across cryptocurrencies and high-liquidity assets. By integrating multiple strategies into a single framework, the system identifies precise buy and sell signals while dynamically managing positions to maximize profitability and reduce risk.
Suitability
This trading agent is designed for both novice and professional traders who require robust tools to navigate volatile markets. Beginners benefit from AI-driven guidance, clear signal generation, and simplified execution, while seasoned traders gain access to advanced analytics, real-time risk assessment, and adaptable strategies. The agent is especially suitable for those who value:
Automated decision-making without relying on a single indicator.
Flexible trade management, including multi-step entries and exits.
Adaptive strategies that thrive in both short-term and mid-term market conditions.
#HotTrends #TradingSignals #news #Tickeron #ArtificialInteligence
⚡ IL FUTURO DELL’AI CORRE SU FOTONI E ATOMI ⚡
Negli ultimi due giorni, tre annunci hanno ridefinito il futuro dell’intelligenza artificiale e confermato la tesi sull’“NVIDIA Killer”: non esiste.
Tutti i rivali stanno ora licenziando l’architettura di Jensen Huang, non sostituendola.AWS ha presentato Trainium4, chip che integra NVLink Fusion di NVIDIA.
Ogni rack ospita 72 chip collegati in una rete capace di 260 terabyte al secondo: i concorrenti sono diventati clienti, e la rete neurale di NVIDIA diventa lo standard di fatto per i data center del mondo.
Contemporaneamente, Marvell ha acquisito Celestial AI per 3,25 miliardi di dollari, puntando sulla trasmissione ottica come soluzione al limite fisico dei collegamenti elettrici: la prossima generazione di infrastrutture AI userà la luce per spostare l’informazione.
Poi lo stesso Huang, intervistato da Joe Rogan, ha indicato il vincolo successivo: l’energia.
I futuri data center saranno alimentati da reattori nucleari modulari (SMR) entro 6‑7 anni.
NVIDIA ha già investito in TerraPower, mentre il DOE ha stanziato 800 milioni di dollari per accelerarne lo sviluppo.
Entro il 2030 i data center consumeranno 945 TWh, l’equivalente del fabbisogno energetico della Germania, e gli hyperscaler stanno costruendo una nuova rete elettrica per la superintelligenza.
Due substrati guideranno questa rivoluzione: fotoni per la larghezza di banda, atomi per la potenza.
La fisica è decisa, il capitale è impegnato: chi possiede luce ed energia, possiede il futuro.
#NVIDIA #ArtificialInteligence #energy
Negli ultimi due giorni, tre annunci hanno ridefinito il futuro dell’intelligenza artificiale e confermato la tesi sull’“NVIDIA Killer”: non esiste.
Tutti i rivali stanno ora licenziando l’architettura di Jensen Huang, non sostituendola.AWS ha presentato Trainium4, chip che integra NVLink Fusion di NVIDIA.
Ogni rack ospita 72 chip collegati in una rete capace di 260 terabyte al secondo: i concorrenti sono diventati clienti, e la rete neurale di NVIDIA diventa lo standard di fatto per i data center del mondo.
Contemporaneamente, Marvell ha acquisito Celestial AI per 3,25 miliardi di dollari, puntando sulla trasmissione ottica come soluzione al limite fisico dei collegamenti elettrici: la prossima generazione di infrastrutture AI userà la luce per spostare l’informazione.
Poi lo stesso Huang, intervistato da Joe Rogan, ha indicato il vincolo successivo: l’energia.
I futuri data center saranno alimentati da reattori nucleari modulari (SMR) entro 6‑7 anni.
NVIDIA ha già investito in TerraPower, mentre il DOE ha stanziato 800 milioni di dollari per accelerarne lo sviluppo.
Entro il 2030 i data center consumeranno 945 TWh, l’equivalente del fabbisogno energetico della Germania, e gli hyperscaler stanno costruendo una nuova rete elettrica per la superintelligenza.
Due substrati guideranno questa rivoluzione: fotoni per la larghezza di banda, atomi per la potenza.
La fisica è decisa, il capitale è impegnato: chi possiede luce ed energia, possiede il futuro.
#NVIDIA #ArtificialInteligence #energy
Tekno23:
anche Cisco systems adesso ha una linea di prodotti basati su hardware dedicato fatto da Nvidia , e questo fa capire come si muoverà questo mercato
OpenAI: How Confessions Can Keep Language Models Honest
A new proof-of-concept study where OpenAI trained a GPT-5 Thinking variant to admit whether the model followed instructions.
> A Confession is the model’s honest self-report on whether it followed instructions or cut corners, violated rules, or fell short in any way.
> Early tests show high accuracy, with models confessing to hacking, hallucinating, or violating instructions even when the main answer hides it.
> However, Confessions don’t prevent mistakes; they make them visible.
#ArtificialInteligence
A new proof-of-concept study where OpenAI trained a GPT-5 Thinking variant to admit whether the model followed instructions.
> A Confession is the model’s honest self-report on whether it followed instructions or cut corners, violated rules, or fell short in any way.
> Early tests show high accuracy, with models confessing to hacking, hallucinating, or violating instructions even when the main answer hides it.
> However, Confessions don’t prevent mistakes; they make them visible.
#ArtificialInteligence
AI Supercycle: Top 2 Tokens Poised for Massive Growth in 2025
The crypto market is evolving, and while $BTC remains king, the real exponential gains for the next cycle are forming in a new sector: Artificial Intelligence (AI).
The intersection of AI and blockchain is widely considered one of the most dominant narratives for late 2025. As AI models become more powerful, they require immense computational resources and decentralized data networks—problems that blockchain is uniquely positioned to solve.
Here are the top projects building the foundation of this future.
1. Render Network ($RNDR): The Fuel for AI
AI is powerless without computing power. $RNDR connects users looking to perform rendering and AI-computation tasks with people who have idle GPUs.
Think of it as the "Airbnb for compute." Instead of relying on centralized giants, developers can tap into a global, decentralized network. As the demand for AI-generated content explodes, the need for Render's power is poised to skyrocket.
2. Fetch.ai ($FET ): The Rise of Autonomous Agents
The future isn't just chatbots; it's about "Agents" that do work for you. $FET is building a network where AI agents can communicate, negotiate, and transact without human intervention.
Imagine an AI that automatically finds the best flight price and books it for you using blockchain. That is the vision of $FET . As autonomous agents move from theory to reality, this token is positioned at the forefront.
Why Enter Now?
The AI narrative is just getting started. These projects are not mere concepts; they are building the essential infrastructure for a future powered by decentralized artificial intelligence.
Are you ready to ride the AI wave? Don't just watch the revolution happen—be a part of it.
👉 Click on the $RNDR and $FET tickers below to view the live charts and start trading!
#AI #ArtificialInteligence #CryptoTrends #AltcoinSeason #Write2Earn
The intersection of AI and blockchain is widely considered one of the most dominant narratives for late 2025. As AI models become more powerful, they require immense computational resources and decentralized data networks—problems that blockchain is uniquely positioned to solve.
Here are the top projects building the foundation of this future.
1. Render Network ($RNDR): The Fuel for AI
AI is powerless without computing power. $RNDR connects users looking to perform rendering and AI-computation tasks with people who have idle GPUs.
Think of it as the "Airbnb for compute." Instead of relying on centralized giants, developers can tap into a global, decentralized network. As the demand for AI-generated content explodes, the need for Render's power is poised to skyrocket.
2. Fetch.ai ($FET ): The Rise of Autonomous Agents
The future isn't just chatbots; it's about "Agents" that do work for you. $FET is building a network where AI agents can communicate, negotiate, and transact without human intervention.
Imagine an AI that automatically finds the best flight price and books it for you using blockchain. That is the vision of $FET . As autonomous agents move from theory to reality, this token is positioned at the forefront.
Why Enter Now?
The AI narrative is just getting started. These projects are not mere concepts; they are building the essential infrastructure for a future powered by decentralized artificial intelligence.
Are you ready to ride the AI wave? Don't just watch the revolution happen—be a part of it.
👉 Click on the $RNDR and $FET tickers below to view the live charts and start trading!
#AI #ArtificialInteligence #CryptoTrends #AltcoinSeason #Write2Earn
Binance Futures Kya Hai? – Complete Guide
Crypto trading din-pratidin popular ho rahi hai, aur Binance Futures un traders ke liye powerful feature hai jo market se uptrend aur downtrend, dono mein profit kamana chahte hain.
Is article mein hum samjhenge ki Binance Futures kya hota hai, kaise kaam karta hai, aur trading shuru karne se pehle aapko kya-kya jaanna zaroori hai.
Binance Futures Kya Hota Hai?
Binance Futures ek derivative trading platform hai jahan aap real crypto coins ko buy/sell nahi karte, balki unke price movement ka contract trade karte ho.
Aap market upar jaaye ya neeche — dono situation mein profit kama sakte ho.
👉 Yani, long karo to profit upar jaane par
👉 short karo to profit neeche jaane par
You are doing it today, you want to eat it, but it will depend on you, you will have to follow your own way, okay.Futures Trading Kaise Kaam Karta Hai?There are many types of people in the world, but some people go just to see and understand things in their own way, and brothers, they move ahead and achieve success and reach very far ahead.Futures trading mein do important cheezein hoti hain:
1. Leverage
Leverage aapko chhoti capital se bada position open karne ki power deta hai.
Example: 10 USDT ke saath agar aap 20x leverage use karte ho, to aap 200 USDT ka trade open kar sakte ho.
⚠️ High leverage = High profit + High risk
---
2. Margin
Ye wo amount hai jo aap ko trade open rakhne ke liye dena hota hai.
Agar loss limit se zyada ho jaaye, to liquidation ho sakta hai.
Binance Futures ke Types
1. USDT-M Futures
Stablecoin (USDT) mein profit/loss hota hai
Most popular
Beginners ke liye safe option
2. Coin-M Futures
Direct crypto (BTC/ETH) mein settlement
Long term traders use karte hain
Binance Futures ke Fayde
✔ Market upar-neeche dono mein earning ka mauka
✔ High leverage ke saath bada position
✔ Hedging ka option (risk control)
✔ Hundreds of trading pairs
✔ Advanced tools – Stop Loss, Take Profit, Trailing Stop
Risks Jo Har Trader Ko Jaanna Chahiye
❗ High leverage se liquidation ka chance badh jata hai
❗ Emotional trading se losses hote hain
❗ Futures market bahut volatile hota hai
❗ Beginner aware na ho to funds jaldi loss ho sakte hain
Pro Tip: Hamesha stop-loss lagao aur low leverage se start karo.
Binance Futures Kaise Start Karein? (Step-by-Step)
1. Binance account create karein
2. Identity verification (KYC) complete karein
3. Futures wallet mein fund transfer karein
4. Chart par pair select karein (example: BTCUSDT)
5. Leverage set karein
6. Long ya Short position open karein
7. Stop-loss & take-profit set karein
8. Position ko monitor karein
Futures Trading Beginners ke Liye Tips
Pehle demo mode mein practice karein
2x–5x se leverage start karein
Ek hi trade mein full balance mat dalna
News aur market sentiment follow karein
Emotional trading se bachein
Conclusion
Binance Futures ek advanced trading tool hai jo proper strategy aur risk management ke saath use kiya jaaye to strong earning ka source ban sakta hai.
Lekin bina knowledge ke futures trading karna bahut risky hota hai.
#Binance #ArtificialInteligence
Agar aap learning continue rakhoge aur discipline follow karoge, to futures trading aapko long-term benefit de sakti hai.
#article #Megadrop #BinanceBlockchainWeek #BinanceBlockchainWeek $BNB
$SOL
$ETH
Is article mein hum samjhenge ki Binance Futures kya hota hai, kaise kaam karta hai, aur trading shuru karne se pehle aapko kya-kya jaanna zaroori hai.
Binance Futures Kya Hota Hai?
Binance Futures ek derivative trading platform hai jahan aap real crypto coins ko buy/sell nahi karte, balki unke price movement ka contract trade karte ho.
Aap market upar jaaye ya neeche — dono situation mein profit kama sakte ho.
👉 Yani, long karo to profit upar jaane par
👉 short karo to profit neeche jaane par
You are doing it today, you want to eat it, but it will depend on you, you will have to follow your own way, okay.Futures Trading Kaise Kaam Karta Hai?There are many types of people in the world, but some people go just to see and understand things in their own way, and brothers, they move ahead and achieve success and reach very far ahead.Futures trading mein do important cheezein hoti hain:
1. Leverage
Leverage aapko chhoti capital se bada position open karne ki power deta hai.
Example: 10 USDT ke saath agar aap 20x leverage use karte ho, to aap 200 USDT ka trade open kar sakte ho.
⚠️ High leverage = High profit + High risk
---
2. Margin
Ye wo amount hai jo aap ko trade open rakhne ke liye dena hota hai.
Agar loss limit se zyada ho jaaye, to liquidation ho sakta hai.
Binance Futures ke Types
1. USDT-M Futures
Stablecoin (USDT) mein profit/loss hota hai
Most popular
Beginners ke liye safe option
2. Coin-M Futures
Direct crypto (BTC/ETH) mein settlement
Long term traders use karte hain
Binance Futures ke Fayde
✔ Market upar-neeche dono mein earning ka mauka
✔ High leverage ke saath bada position
✔ Hedging ka option (risk control)
✔ Hundreds of trading pairs
✔ Advanced tools – Stop Loss, Take Profit, Trailing Stop
Risks Jo Har Trader Ko Jaanna Chahiye
❗ High leverage se liquidation ka chance badh jata hai
❗ Emotional trading se losses hote hain
❗ Futures market bahut volatile hota hai
❗ Beginner aware na ho to funds jaldi loss ho sakte hain
Pro Tip: Hamesha stop-loss lagao aur low leverage se start karo.
Binance Futures Kaise Start Karein? (Step-by-Step)
1. Binance account create karein
2. Identity verification (KYC) complete karein
3. Futures wallet mein fund transfer karein
4. Chart par pair select karein (example: BTCUSDT)
5. Leverage set karein
6. Long ya Short position open karein
7. Stop-loss & take-profit set karein
8. Position ko monitor karein
Futures Trading Beginners ke Liye Tips
Pehle demo mode mein practice karein
2x–5x se leverage start karein
Ek hi trade mein full balance mat dalna
News aur market sentiment follow karein
Emotional trading se bachein
Conclusion
Binance Futures ek advanced trading tool hai jo proper strategy aur risk management ke saath use kiya jaaye to strong earning ka source ban sakta hai.
Lekin bina knowledge ke futures trading karna bahut risky hota hai.
#Binance #ArtificialInteligence
Agar aap learning continue rakhoge aur discipline follow karoge, to futures trading aapko long-term benefit de sakti hai.
#article #Megadrop #BinanceBlockchainWeek #BinanceBlockchainWeek $BNB
$SOL
$ETH
EVENTOS ESPECÍFICOS DE BINANCE
Alguna mayoría de los usuarios estamos atentos a los listados de nuevas criptomonedas. 🫠🤑
Como los recientes $LINEA #HomerCoin ect #BinanceAlpha algunos esperamos esos programas de recompensas y promociones festival que suelen ocurrir en los días festivos durante la temporada navideña.
Animo "*, Se nos viene unas recompensas con margen de ganancias buenas Como esos airdrops $IRIS #ArtificialInteligence
DESARROLLO TECNOLÓGICO
se espera un mayor progreso en la integración de la inteligencia artificial [IA] y desarrollo regulatorios favorable que puedan impulsar la adopción masiva.
TEMÁTICA
LA temática principal es el impulso que nos pueda dar estos;*, días que nos quedan del fin del 2025 &*. todos tenemos esos ojos como don $PePe literalmente hablando 🙆🤷 y nos parecemos aun casador mente hablando A un #shiba 🤪😜 Cuidado con esa #LİNEA que se nos puede venir de repente por la calle del medio y nos anota par de carreras. oh quizás la saca de Binanancecoin... 🤑🫡 entre pelota y moneda no ay diferencia. puedes ganar y puedes perder. Lo que importa es aceptar cuando ay ganancias y cuando.. solo ay 000000.0
Alguna mayoría de los usuarios estamos atentos a los listados de nuevas criptomonedas. 🫠🤑
Como los recientes $LINEA #HomerCoin ect #BinanceAlpha algunos esperamos esos programas de recompensas y promociones festival que suelen ocurrir en los días festivos durante la temporada navideña.
Animo "*, Se nos viene unas recompensas con margen de ganancias buenas Como esos airdrops $IRIS #ArtificialInteligence
DESARROLLO TECNOLÓGICO
se espera un mayor progreso en la integración de la inteligencia artificial [IA] y desarrollo regulatorios favorable que puedan impulsar la adopción masiva.
TEMÁTICA
LA temática principal es el impulso que nos pueda dar estos;*, días que nos quedan del fin del 2025 &*. todos tenemos esos ojos como don $PePe literalmente hablando 🙆🤷 y nos parecemos aun casador mente hablando A un #shiba 🤪😜 Cuidado con esa #LİNEA que se nos puede venir de repente por la calle del medio y nos anota par de carreras. oh quizás la saca de Binanancecoin... 🤑🫡 entre pelota y moneda no ay diferencia. puedes ganar y puedes perder. Lo que importa es aceptar cuando ay ganancias y cuando.. solo ay 000000.0
🇨🇳⚡ DEEPSEEKMATH-V2: L'AI CINESE RIVOLUZIONA IL RAGIONAMENTO MATEMATICO ⚡🇨🇳
DeepSeek AI, azienda cinese leader nell'intelligenza artificiale, ha lanciato DeepSeekMath-V2, un modello open-source da 685 miliardi di parametri che stabilisce nuovi standard nel ragionamento matematico.
Disponibile su Hugging Face e GitHub, introduce un framework innovativo di auto-verifica che non si limita a generare risposte corrette, ma produce dimostrazioni logicamente solide e verificabili passo-passo.
Questo approccio risolve un problema critico degli LLM precedenti: il divario tra generazione e verifica.
Il modello utilizza un ciclo di rinforzo learning (RL) con un verificatore dedicato che etichetta automaticamente prove complesse, migliorando la robustezza contro allucinazioni.
Supporta contesti lunghi grazie a meccanismi di attention sparsi derivati da DeepSeek-V3, rendendolo ideale per teoremi multi-step.
I benchmark confermano l'eccellenza: ha raggiunto livelli da medaglia d'oro all'International Mathematical Olympiad (IMO) 2025 e alla Chinese Mathematical Olympiad (CMO) 2024, superando prove complesse con dimostrazioni complete.
Su Putnam 2024 ha ottenuto 118/120 punti con compute scalato, battendo il massimo umano di 90.
Rispetto a GPT-4o o o1-preview, eccelle del 15-20% in accuratezza delle prove.
DeepSeekMath-V2 apre applicazioni in ricerca scientifica, theorem proving e educazione, democratizzando l'AI matematica con licenza Apache 2.0.
Nonostante limiti come alto consumo VRAM (minimo 8x A100 GPU), rappresenta un passo verso AI affidabili.
La comunità open-source ora può estenderlo con tool come Lean o Coq.
#breakingnews #DeepSeek #china #ArtificialInteligence
DeepSeek AI, azienda cinese leader nell'intelligenza artificiale, ha lanciato DeepSeekMath-V2, un modello open-source da 685 miliardi di parametri che stabilisce nuovi standard nel ragionamento matematico.
Disponibile su Hugging Face e GitHub, introduce un framework innovativo di auto-verifica che non si limita a generare risposte corrette, ma produce dimostrazioni logicamente solide e verificabili passo-passo.
Questo approccio risolve un problema critico degli LLM precedenti: il divario tra generazione e verifica.
Il modello utilizza un ciclo di rinforzo learning (RL) con un verificatore dedicato che etichetta automaticamente prove complesse, migliorando la robustezza contro allucinazioni.
Supporta contesti lunghi grazie a meccanismi di attention sparsi derivati da DeepSeek-V3, rendendolo ideale per teoremi multi-step.
I benchmark confermano l'eccellenza: ha raggiunto livelli da medaglia d'oro all'International Mathematical Olympiad (IMO) 2025 e alla Chinese Mathematical Olympiad (CMO) 2024, superando prove complesse con dimostrazioni complete.
Su Putnam 2024 ha ottenuto 118/120 punti con compute scalato, battendo il massimo umano di 90.
Rispetto a GPT-4o o o1-preview, eccelle del 15-20% in accuratezza delle prove.
DeepSeekMath-V2 apre applicazioni in ricerca scientifica, theorem proving e educazione, democratizzando l'AI matematica con licenza Apache 2.0.
Nonostante limiti come alto consumo VRAM (minimo 8x A100 GPU), rappresenta un passo verso AI affidabili.
La comunità open-source ora può estenderlo con tool come Lean o Coq.
#breakingnews #DeepSeek #china #ArtificialInteligence
白皮书 + 市场背景
GAIB 白皮书现已发布，呈现了生态系统的完整蓝图，包括代币化机制、GPU 支撑的资产结构、治理以及驱动真实计算资产市场的经济模型。
该文档展示了 $GAIB 如何将快速增长的 AI 基础设施经济与去中心化金融系统连接起来，解锁此前仅限大型科技公司参与的数万亿美元机会。
投资者可以直接接触到实际计算价值，而非通过科技股票篮子进行间接投资；同时，数据中心可以获得更快速、更灵活的融资，以扩展高性能 GPU 容量。
GAIB 实现了 DeFi 的可组合性，使 AID 和 sAID 资产可用于流动性提供、抵押、收益交易、对冲、重新质押以及更多高级金融策略。
白皮书强调负责任的参与，鼓励用户在进入 GAIB 生态系统前充分了解相关风险，保持透明度和长期市场信心。
通过将计算能力正式确立为链上流动资产，GAIB 为未来去中心化市场推动全球 AI 发展的愿景奠定了基础。
$GAIB #GAIB #ArtificialInteligence @GAIB AI
GAIB 白皮书现已发布，呈现了生态系统的完整蓝图，包括代币化机制、GPU 支撑的资产结构、治理以及驱动真实计算资产市场的经济模型。
该文档展示了 $GAIB 如何将快速增长的 AI 基础设施经济与去中心化金融系统连接起来，解锁此前仅限大型科技公司参与的数万亿美元机会。
投资者可以直接接触到实际计算价值，而非通过科技股票篮子进行间接投资；同时，数据中心可以获得更快速、更灵活的融资，以扩展高性能 GPU 容量。
GAIB 实现了 DeFi 的可组合性，使 AID 和 sAID 资产可用于流动性提供、抵押、收益交易、对冲、重新质押以及更多高级金融策略。
白皮书强调负责任的参与，鼓励用户在进入 GAIB 生态系统前充分了解相关风险，保持透明度和长期市场信心。
通过将计算能力正式确立为链上流动资产，GAIB 为未来去中心化市场推动全球 AI 发展的愿景奠定了基础。
$GAIB #GAIB #ArtificialInteligence @GAIB AI
The future of #tech and #ArtificialInteligence is all heading towards Agentic AI. Specialized AI agents performing tasks that humans used to execute. Nvidia, a booming giant worth more then a trillion dollars and booming is developing the hardware on which all this processing is going to take place. Software firms are developing the required algorithms, platforms which will enable Agentic AI to perform better and efficiently than humans. And then finally the missing piece of the puzzle a financial eco system that will fuel this engine is $KITE .
An entire eco system, that will be backbone of this revolution #KİTE @KITE AI
#InvestSmart #Market_Update
An entire eco system, that will be backbone of this revolution #KİTE @KITE AI
#InvestSmart #Market_Update
The future of #tech and #ArtificialInteligence is all heading towards Agentic AI. Specialized AI agents performing tasks that humans used to execute. Nvidia, a booming giant worth more then a trillion dollars and booming is developing the hardware on which all this processing is going to take place. Software firms are developing the required algorithms, platforms which will enable Agentic AI to perform better and efficiently than humans. And then finally the missing piece of the puzzle a financial eco system that will fuel this engine is $KITE .
An entire eco system, that will be backbone of this revolution #KİTE @KITE AI
#InvestSmart #Market_Update
An entire eco system, that will be backbone of this revolution #KİTE @KITE AI
#InvestSmart #Market_Update
Inicia sesión para explorar más contenidos