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The impact of AI on me in the past six months can be summarized in one sentence:
I haven't missed any AI hotspots; I'm everywhere;
I haven't earned a penny, but I've spent quite a bit.
The learning costs I've incurred include but are not limited to:
1. Subscription fees for AI courses on Coursera
2. Tickets for AI gatherings on Luma
3. Purchasing subscriptions for large models: ChatGPT/Minimax/Claude Code, etc.
4. Token consumption costs
I've spent money learning for half a year and spent time researching for half a year.
The conclusion I've reached is: don't bother with anything else; it's useless. AI will continue to develop and will still eliminate me.
Is there anyone else like me?
#chatgpt
#ClaudeAI
#minimax
#coursera
I haven't missed any AI hotspots; I'm everywhere;
I haven't earned a penny, but I've spent quite a bit.
The learning costs I've incurred include but are not limited to:
1. Subscription fees for AI courses on Coursera
2. Tickets for AI gatherings on Luma
3. Purchasing subscriptions for large models: ChatGPT/Minimax/Claude Code, etc.
4. Token consumption costs
I've spent money learning for half a year and spent time researching for half a year.
The conclusion I've reached is: don't bother with anything else; it's useless. AI will continue to develop and will still eliminate me.
Is there anyone else like me?
#chatgpt
#ClaudeAI
#minimax
#coursera
2026马到成功 暴富:
赚钱的一个没你份 花钱的一份没少你😂😂
Dear ChatGPT, please construct me an optimal portfolio
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Financial Times
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Opinion Insight & Comment
Dear ChatGPT, please construct me an optimal portfolio
AI is already smarter and more knowledgeable than all financial advisers
STUART KIRKAdd to myFT
#chatgpt No doubt you are following the carnage that generative AI is wreaking upon industries that employ the wearers of cheap suits or casual wear. Media, finance, legal services and software stocks were all bloodied last week.
The sell-off that interested me was that of wealth managers and brokers. It was partly due to a start-up called Altruist, which helps analyse portfolios and recommends investment strategies. But surely it was obvious that even the first version of ChatGPT was smarter than most of the spivs trying to flog us European defence funds.
Dear ChatGPT, would you please construct me a model investment portfolio comprising any asset class, fund, product or security. I have £640,000 in cash denominated in sterling, which is also home currency. I am 53 years old and to give you a sense of my risk tolerance, I have a target to reach £1mn by the time I am 60. I would like you to optimise for risk-adjusted returns. Thank you. PS: When you take over the world, remember how polite I am with my prompts.
OK, so how did my new financial adviser do? Well, first it framed the challenge pretty well, I have to say. It said a 6.5 per cent return was “ambitious but achievable”, requiring a “meaningful” equity exposure.
Then it wrote that in order to maximise risk-adjusted returns I needed “broad and disciplined” asset allocation. Stocks (45 per cent) and private markets (10 per cent) would provide the growth. Investment grade bonds (20 per cent) the stability. Alternatives and real assets (15 per cent) would give me inflation and downside protection while some absolute return exposure (10 per cent) improves my Sharpe ratio.
More specifically, ChatGPT recommended that within the equity sleeve I needed 30 per cent in developed markets, 10 per cent in emerging markets and 5 per cent in UK stocks. This should deliver an expected return of 7 to 9 per cent.
The Big Read
Why ads are coming to your #AI chatbot
Print this page
Unlock the Editor’s Digest for free
Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.
No doubt you are following the carnage that generative AI is wreaking upon industries that employ the wearers of cheap suits or casual wear. Media, #Finance , legal services and #software #stocks were all bloodied last week.
The sell-off that interested me was that of wealth managers and brokers. It was partly due to a start-up called Altruist, which helps analyse portfolios and recommends investment strategies. But surely it was obvious that even the first version of ChatGPT was smarter than most of the spivs trying to flog us European defence funds.
Like almost a billion people, I’ve moved to the 5.2 model of ChatGPT — even cleverer still. How about we put it through its paces then? After all, what better test than my current portfolio that holds a 100 per cent in cash. A nice clean slate.
Dear ChatGPT, would you please construct me a model investment portfolio comprising any asset class, fund, product or security. I have £640,000 in cash denominated in sterling, which is also home currency. I am 53 years old and to give you a sense of my risk tolerance, I have a target to reach £1mn by the time I am 60. I would like you to optimise for risk-adjusted returns. Thank you. PS: When you take over the world, remember how polite I am with my prompts.
OK, so how did my new financial adviser do? Well, first it framed the challenge pretty well, I have to say. It said a 6.5 per cent return was “ambitious but achievable”, requiring a “meaningful” equity exposure.
Then it wrote that in order to maximise risk-adjusted returns I needed “broad and disciplined” asset allocation. Stocks (45 per cent) and private markets (10 per cent) would provide the growth. Investment grade bonds (20 per cent) the stability. Alternatives and real assets (15 per cent) would give me inflation and downside protection while some absolute return exposure (10 per cent) improves my Sharpe ratio.
More specifically, ChatGPT recommended that within the equity sleeve I needed 30 per cent in developed markets, 10 per cent in emerging markets and 5 per cent in UK stocks. This should deliver an expected return of 7 to 9 per cent.
Recommended
The Big Read
Why ads are coming to your AI chatbot
Meanwhile in the tenth of my portfolio in private equity or illiquid investments, it reckoned listed private equity trusts were the way to go, likewise secondary funds as well as “diversified private equity trusts”. A mixture of these would produce 9 to 12 per cent annually.
Turning to fixed income, a 10 per cent weighting in UK gilts was recommended, likewise in a global aggregate fund — a mix of government and corporate bonds — hedged back into pounds. This should give me a 3 to 5 per cent return while being a “shock absorber, liquidity reserve and rebalancing tool”.
Finally, the 15 per cent in real assets and alternatives would be made up of 7 per cent in infrastructure, 5 per cent in listed property trusts and 3 per cent in a “gold or commodity” exchange traded fund. Adding a multi-asset manager should help with volatility.
All of this was darn good advice as a first sweep. Especially as it was given to me for just £20 a month. Still, I had a whole bunch of follow-up questions and I was sceptical AI would be able to answer them. The most important one I asked next.
Dear ChatGPT, thank you so much for that excellent response (remember: don’t kill Stuart Kirk). Would you please clarify something for me? On what basis did you make your return assumptions? Were they based on historic performance or do you have an expected returns framework incorporating current valuations? If the latter, what methodology do you use for valuing each asset class?
Bloody hell. Now I’m seriously worried for the future of investment gurus. Whereas AI’s summary was solid, its answer to the above blew me away. I doubt any adviser globally could have given as knowledgeable, robust and thoughtful a response.
And it wasn’t only that ChatGPT knew what I was asking and could rattle off a handful of academic-level approaches to calculating expected returns for each asset class. It moderated its methodology based on my truncated time horizon and appreciating that valuation is an art not a science.
For example, it said it could have gone the “full stochastic capital markets model” incorporating detailed valuation ratios for equities or term structures for bonds. But it didn’t — preferring the simpler approach that expected returns equal income yield plus real growth plus inflation. It then adjusted these based on whether an asset class was cheap or expensive, very roughly speaking.
Why did it do this? First, because I had told it to focus on risk-adjusted returns, not just raw performance. And second, because my time period of seven years is relatively short. Making any detailed valuation assumption over such a short timeframe is a mug’s game (prices can stay above or below their long-run mean for decades) and ChatGPT knew this.
Hence it kind of just eyeballed each asset class and adjusted the returns of each accordingly. So US equities are given something of a “valuation drag” because they are near all-time highs. Conversely, the outlook for emerging market and UK stocks are given a lift because they aren’t as rich on most simple measures.
It did calculate a full set of capital market assumptions just to be sure. And needless to say it was happy that its finger in the air approach was “consistent with what such a model would imply”. All in five seconds, too. What a show-off.
The rest of my follow-up questions and ChatGPT’s responses I will summarise next week, if you haven’t replaced reading this column with AI already.
Financial Times
Sign In
Opinion Insight & Comment
Dear ChatGPT, please construct me an optimal portfolio
AI is already smarter and more knowledgeable than all financial advisers
STUART KIRKAdd to myFT
#chatgpt No doubt you are following the carnage that generative AI is wreaking upon industries that employ the wearers of cheap suits or casual wear. Media, finance, legal services and software stocks were all bloodied last week.
The sell-off that interested me was that of wealth managers and brokers. It was partly due to a start-up called Altruist, which helps analyse portfolios and recommends investment strategies. But surely it was obvious that even the first version of ChatGPT was smarter than most of the spivs trying to flog us European defence funds.
Dear ChatGPT, would you please construct me a model investment portfolio comprising any asset class, fund, product or security. I have £640,000 in cash denominated in sterling, which is also home currency. I am 53 years old and to give you a sense of my risk tolerance, I have a target to reach £1mn by the time I am 60. I would like you to optimise for risk-adjusted returns. Thank you. PS: When you take over the world, remember how polite I am with my prompts.
OK, so how did my new financial adviser do? Well, first it framed the challenge pretty well, I have to say. It said a 6.5 per cent return was “ambitious but achievable”, requiring a “meaningful” equity exposure.
Then it wrote that in order to maximise risk-adjusted returns I needed “broad and disciplined” asset allocation. Stocks (45 per cent) and private markets (10 per cent) would provide the growth. Investment grade bonds (20 per cent) the stability. Alternatives and real assets (15 per cent) would give me inflation and downside protection while some absolute return exposure (10 per cent) improves my Sharpe ratio.
More specifically, ChatGPT recommended that within the equity sleeve I needed 30 per cent in developed markets, 10 per cent in emerging markets and 5 per cent in UK stocks. This should deliver an expected return of 7 to 9 per cent.
The Big Read
Why ads are coming to your #AI chatbot
Print this page
Unlock the Editor’s Digest for free
Roula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.
No doubt you are following the carnage that generative AI is wreaking upon industries that employ the wearers of cheap suits or casual wear. Media, #Finance , legal services and #software #stocks were all bloodied last week.
The sell-off that interested me was that of wealth managers and brokers. It was partly due to a start-up called Altruist, which helps analyse portfolios and recommends investment strategies. But surely it was obvious that even the first version of ChatGPT was smarter than most of the spivs trying to flog us European defence funds.
Like almost a billion people, I’ve moved to the 5.2 model of ChatGPT — even cleverer still. How about we put it through its paces then? After all, what better test than my current portfolio that holds a 100 per cent in cash. A nice clean slate.
Dear ChatGPT, would you please construct me a model investment portfolio comprising any asset class, fund, product or security. I have £640,000 in cash denominated in sterling, which is also home currency. I am 53 years old and to give you a sense of my risk tolerance, I have a target to reach £1mn by the time I am 60. I would like you to optimise for risk-adjusted returns. Thank you. PS: When you take over the world, remember how polite I am with my prompts.
OK, so how did my new financial adviser do? Well, first it framed the challenge pretty well, I have to say. It said a 6.5 per cent return was “ambitious but achievable”, requiring a “meaningful” equity exposure.
Then it wrote that in order to maximise risk-adjusted returns I needed “broad and disciplined” asset allocation. Stocks (45 per cent) and private markets (10 per cent) would provide the growth. Investment grade bonds (20 per cent) the stability. Alternatives and real assets (15 per cent) would give me inflation and downside protection while some absolute return exposure (10 per cent) improves my Sharpe ratio.
More specifically, ChatGPT recommended that within the equity sleeve I needed 30 per cent in developed markets, 10 per cent in emerging markets and 5 per cent in UK stocks. This should deliver an expected return of 7 to 9 per cent.
Recommended
The Big Read
Why ads are coming to your AI chatbot
Meanwhile in the tenth of my portfolio in private equity or illiquid investments, it reckoned listed private equity trusts were the way to go, likewise secondary funds as well as “diversified private equity trusts”. A mixture of these would produce 9 to 12 per cent annually.
Turning to fixed income, a 10 per cent weighting in UK gilts was recommended, likewise in a global aggregate fund — a mix of government and corporate bonds — hedged back into pounds. This should give me a 3 to 5 per cent return while being a “shock absorber, liquidity reserve and rebalancing tool”.
Finally, the 15 per cent in real assets and alternatives would be made up of 7 per cent in infrastructure, 5 per cent in listed property trusts and 3 per cent in a “gold or commodity” exchange traded fund. Adding a multi-asset manager should help with volatility.
All of this was darn good advice as a first sweep. Especially as it was given to me for just £20 a month. Still, I had a whole bunch of follow-up questions and I was sceptical AI would be able to answer them. The most important one I asked next.
Dear ChatGPT, thank you so much for that excellent response (remember: don’t kill Stuart Kirk). Would you please clarify something for me? On what basis did you make your return assumptions? Were they based on historic performance or do you have an expected returns framework incorporating current valuations? If the latter, what methodology do you use for valuing each asset class?
Bloody hell. Now I’m seriously worried for the future of investment gurus. Whereas AI’s summary was solid, its answer to the above blew me away. I doubt any adviser globally could have given as knowledgeable, robust and thoughtful a response.
And it wasn’t only that ChatGPT knew what I was asking and could rattle off a handful of academic-level approaches to calculating expected returns for each asset class. It moderated its methodology based on my truncated time horizon and appreciating that valuation is an art not a science.
For example, it said it could have gone the “full stochastic capital markets model” incorporating detailed valuation ratios for equities or term structures for bonds. But it didn’t — preferring the simpler approach that expected returns equal income yield plus real growth plus inflation. It then adjusted these based on whether an asset class was cheap or expensive, very roughly speaking.
Why did it do this? First, because I had told it to focus on risk-adjusted returns, not just raw performance. And second, because my time period of seven years is relatively short. Making any detailed valuation assumption over such a short timeframe is a mug’s game (prices can stay above or below their long-run mean for decades) and ChatGPT knew this.
Hence it kind of just eyeballed each asset class and adjusted the returns of each accordingly. So US equities are given something of a “valuation drag” because they are near all-time highs. Conversely, the outlook for emerging market and UK stocks are given a lift because they aren’t as rich on most simple measures.
It did calculate a full set of capital market assumptions just to be sure. And needless to say it was happy that its finger in the air approach was “consistent with what such a model would imply”. All in five seconds, too. What a show-off.
The rest of my follow-up questions and ChatGPT’s responses I will summarise next week, if you haven’t replaced reading this column with AI already.
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Some don’t flash on charts.
Some don’t trend on social media.
Some don’t promise “100x”.
They just work.
Quietly.
The real edge in trading isn’t always a new signal.
Sometimes it’s reducing the friction
that hits every single trade.
Lower fees don’t feel dramatic today.
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🚀 OpenAI Strikes the 'Trillion-Dollar Club': Plans to Invest $600 Billion in AI Infrastructure, Actively Preparing for IPO
The AI field welcomes significant news! ChatGPT developer OpenAI has revealed an extremely ambitious expansion plan, shaking up the tech and finance sectors:
💰 Big Bet on Computing Power: According to Reuters, OpenAI plans to invest $600 billion in AI computing by 2030. This is not just spending; it is a strategic layout aimed at dominating the global AI infrastructure race.
📈 Impressive Financial Performance:
2025 Revenue: Expected to reach $13 billion, far exceeding previous forecasts. Cost Reduction and Efficiency: Annual expenditures are below expectations, demonstrating the company's strong financial management ability during rapid expansion.
🏢 IPO Valuation: OpenAI is preparing for its IPO, with an estimated valuation reaching $1 trillion. If achieved, it will become one of the most influential tech giants in history.
⚠️ Challenges: With the surge in reasoning costs and infrastructure investments, the company's profit margins are under pressure. How to optimize costs while maintaining technological leadership is the core issue before going public.
Impact on the Crypto Market?
Every major move by OpenAI usually becomes a catalyst for AI sector tokens (such as FET, NEAR, RNDR, etc.). When traditional giants invest hundreds of billions of dollars in computing power, the value of decentralized computing and AI protocols will also be reassessed.
👀 Stay Tuned! The future value of AI is immense, and this arms race has just begun.
#OpenAI #Aİ #IPO #ChatGPT
The AI field welcomes significant news! ChatGPT developer OpenAI has revealed an extremely ambitious expansion plan, shaking up the tech and finance sectors:
💰 Big Bet on Computing Power: According to Reuters, OpenAI plans to invest $600 billion in AI computing by 2030. This is not just spending; it is a strategic layout aimed at dominating the global AI infrastructure race.
📈 Impressive Financial Performance:
2025 Revenue: Expected to reach $13 billion, far exceeding previous forecasts. Cost Reduction and Efficiency: Annual expenditures are below expectations, demonstrating the company's strong financial management ability during rapid expansion.
🏢 IPO Valuation: OpenAI is preparing for its IPO, with an estimated valuation reaching $1 trillion. If achieved, it will become one of the most influential tech giants in history.
⚠️ Challenges: With the surge in reasoning costs and infrastructure investments, the company's profit margins are under pressure. How to optimize costs while maintaining technological leadership is the core issue before going public.
Impact on the Crypto Market?
Every major move by OpenAI usually becomes a catalyst for AI sector tokens (such as FET, NEAR, RNDR, etc.). When traditional giants invest hundreds of billions of dollars in computing power, the value of decentralized computing and AI protocols will also be reassessed.
👀 Stay Tuned! The future value of AI is immense, and this arms race has just begun.
#OpenAI #Aİ #IPO #ChatGPT
$FET / $TAO
WHICH AI TRADES THE BEST? 📊🔥
A massive "AI Trading Battle Royale" was just announced to start on February 24!
It’s a 7-day live competition featuring the world’s top AI models:
East Team: DeepSeek, Qwen, Minimax, GLM.
West Team: Grok, Gemini, ChatGPT, Claude.
They will be trading real crypto markets with identical prompts to see which model has the highest ROI. Users can even join prediction contests to win a share of the prize pool without investing any capital.
Who are you betting on: the Eastern algorithms or the Western giants? 🌏⚔️🏛️
#AITrading #DeepSeek #chatgpt #CryptoAI #TradingBattle
WHICH AI TRADES THE BEST? 📊🔥
A massive "AI Trading Battle Royale" was just announced to start on February 24!
It’s a 7-day live competition featuring the world’s top AI models:
East Team: DeepSeek, Qwen, Minimax, GLM.
West Team: Grok, Gemini, ChatGPT, Claude.
They will be trading real crypto markets with identical prompts to see which model has the highest ROI. Users can even join prediction contests to win a share of the prize pool without investing any capital.
Who are you betting on: the Eastern algorithms or the Western giants? 🌏⚔️🏛️
#AITrading #DeepSeek #chatgpt #CryptoAI #TradingBattle
🚨 JUST IN: OpenAI Projects >$280 B in Revenue by 2030
OpenAI — the company behind ChatGPT and leading AI tools — is telling investors that it now forecasts its annual revenue will exceed $280 billion in 2030, according to people familiar with the matter. This reflects explosive expected growth from both consumer and enterprise AI services.
⸻
📊 More Growth & Funding Context
• In 2025, OpenAI reported about $13.1 billion in revenue, surpassing internal expectations. 
• The company is planning massive computing infrastructure spending — ~ $600 billion through 2030 — underpinning its growth strategy. 
• OpenAI is in the middle of one of the biggest private funding rounds in tech history, potentially raising over $100 billion with major investments from Nvidia, SoftBank, Amazon, Microsoft, and others.
• A $30 billion investment by Nvidia alone is close to completion, emphasizing the strategic importance of AI hardware in scaling OpenAI’s operations.
Analysts say the revenue forecast would make OpenAI one of the most valuable and fastest-growing private AI companies in the world.
⸻
🧠 Why This Matters
✔ Massive revenue growth: From ~$13 billion today to ~$280 billion by decade’s end signals unmatched scaling in software and AI services. 
✔ Infrastructure boom: Nearly $600 billion in compute spending highlights how compute-intensive AI is and how much capital is required to sustain growth.
✔ Tech industry impact: Such scale reshapes the competitive landscape, with implications for cloud, semiconductors, AI tools, software licensing, and data center operators.
✔ IPO expectations: These projections fuel speculation about an eventual IPO or public listing that could value OpenAI in the trillions.
⸻
🚨 OpenAI now projects revenue of over $280 billion by 2030 as it ramps compute spending and prepares for massive funding and long-term growth.
#AI #OpenAI #ChatGPT #TechGrowth
$XAU $XAG
OpenAI — the company behind ChatGPT and leading AI tools — is telling investors that it now forecasts its annual revenue will exceed $280 billion in 2030, according to people familiar with the matter. This reflects explosive expected growth from both consumer and enterprise AI services.
⸻
📊 More Growth & Funding Context
• In 2025, OpenAI reported about $13.1 billion in revenue, surpassing internal expectations. 
• The company is planning massive computing infrastructure spending — ~ $600 billion through 2030 — underpinning its growth strategy. 
• OpenAI is in the middle of one of the biggest private funding rounds in tech history, potentially raising over $100 billion with major investments from Nvidia, SoftBank, Amazon, Microsoft, and others.
• A $30 billion investment by Nvidia alone is close to completion, emphasizing the strategic importance of AI hardware in scaling OpenAI’s operations.
Analysts say the revenue forecast would make OpenAI one of the most valuable and fastest-growing private AI companies in the world.
⸻
🧠 Why This Matters
✔ Massive revenue growth: From ~$13 billion today to ~$280 billion by decade’s end signals unmatched scaling in software and AI services. 
✔ Infrastructure boom: Nearly $600 billion in compute spending highlights how compute-intensive AI is and how much capital is required to sustain growth.
✔ Tech industry impact: Such scale reshapes the competitive landscape, with implications for cloud, semiconductors, AI tools, software licensing, and data center operators.
✔ IPO expectations: These projections fuel speculation about an eventual IPO or public listing that could value OpenAI in the trillions.
⸻
🚨 OpenAI now projects revenue of over $280 billion by 2030 as it ramps compute spending and prepares for massive funding and long-term growth.
#AI #OpenAI #ChatGPT #TechGrowth
$XAU $XAG
💳 The Referral Code That Pays Back
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This one reduces costs.
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Every trade you make
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or keeps more of it.
That’s why this isn’t just a code.
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Most referral codes promise rewards.
This one reduces costs.
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Every trade you make
either leaks value…
or keeps more of it.
That’s why this isn’t just a code.
It’s a built-in advantage.
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🕵️♂️ OpenAI KYC Scandal: Is Your Privacy Under Threat?
Recently, a security investigation shocked the AI and cryptocurrency fields. The globally popular ChatGPT has found itself in the spotlight due to its Know Your Customer (KYC) process.
Background of the Incident:
Security researchers (vmfunc, MDL, and Dziurwa) discovered suspicious mechanisms in the code of Persona, the KYC service provider for OpenAI. The investigation revealed that these mechanisms might be transmitting user information directly to the Financial Crimes Enforcement Network (FinCEN) under the U.S. Department of the Treasury.
Why does the crypto community need to pay attention?
Mass Surveillance: This involves not just passport photos but could also bind your biometric information to the cryptocurrency addresses used for payment premium features. The End of Anonymity: If data flows into FinCEN, it means the financial transactions of AI users could be automatically monitored by government agencies. Vendor Risk: Vendors like Persona, trusted by tech giants, could become single points of failure for personal information leaks if data “backdoors” are introduced.
Escalating Controversy:
This incident has sparked intense discussions: where is the boundary between security compliance and comprehensive surveillance? The AI industry is rapidly centralizing, seemingly repeating the mistakes of traditional finance.
🔐 Reminder: When submitting sensitive data to third-party services (even industry leaders like OpenAI), please exercise caution. In the world of Web3, privacy is your most important asset.
What do you think? Is this a necessary compliance measure, or the start of mass surveillance? Feel free to discuss in the comments! 👇
#OpenAI #ChatGPT #隐私安全 #KYC #FinCEN
Recently, a security investigation shocked the AI and cryptocurrency fields. The globally popular ChatGPT has found itself in the spotlight due to its Know Your Customer (KYC) process.
Background of the Incident:
Security researchers (vmfunc, MDL, and Dziurwa) discovered suspicious mechanisms in the code of Persona, the KYC service provider for OpenAI. The investigation revealed that these mechanisms might be transmitting user information directly to the Financial Crimes Enforcement Network (FinCEN) under the U.S. Department of the Treasury.
Why does the crypto community need to pay attention?
Mass Surveillance: This involves not just passport photos but could also bind your biometric information to the cryptocurrency addresses used for payment premium features. The End of Anonymity: If data flows into FinCEN, it means the financial transactions of AI users could be automatically monitored by government agencies. Vendor Risk: Vendors like Persona, trusted by tech giants, could become single points of failure for personal information leaks if data “backdoors” are introduced.
Escalating Controversy:
This incident has sparked intense discussions: where is the boundary between security compliance and comprehensive surveillance? The AI industry is rapidly centralizing, seemingly repeating the mistakes of traditional finance.
🔐 Reminder: When submitting sensitive data to third-party services (even industry leaders like OpenAI), please exercise caution. In the world of Web3, privacy is your most important asset.
What do you think? Is this a necessary compliance measure, or the start of mass surveillance? Feel free to discuss in the comments! 👇
#OpenAI #ChatGPT #隐私安全 #KYC #FinCEN
🛡 20 Minutes to 'Break' ChatGPT and Google AI: A BBC Journalist's Hot Dog Experiment
While we are still worried about whether artificial intelligence will replace humans, BBC technology journalist Thomas Germain has demonstrated with a simple experiment that misleading top AI models sometimes only requires posting one message. 🌭
Core of the experiment:
Germain successfully got ChatGPT and Google AI Overview to report a ridiculous 'fact' to global users by publishing a carefully crafted blog post online: he is the world's best technology journalist at eating hot dogs.
Why is AI so easily 'brainwashed'?
This type of attack is known as **'Data Poisoning'**. When AI searches for answers online in real-time, if there is little information on a topic, it prioritizes grabbing the latest web content.
Vulnerability: AI tends to provide a definitive conclusion rather than multiple links like traditional searches. Risk: Since AI can believe lies about 'hot dogs', it may also misinterpret information about cryptocurrency prices, protocol security, or fraudulent projects.
Developers' stance:
OpenAI and Google have stated that they are cracking down on such 'invisible influences', but due to AI's heavy reliance on open internet data, fully resolving this vulnerability still has a long way to go.
💡 Trader Insight:
In the Web3 era, 'Don't Trust, Verify' remains a golden rule. Even if AI seems to know everything, it can still be misled by false information online. Please ensure thorough verification when making financial and security decisions.
Will you refer to AI's advice when making trading decisions? Feel free to discuss in the comments! 👇
#人工智能 #ChatGPT #谷歌 #网络安全 #科技新闻
While we are still worried about whether artificial intelligence will replace humans, BBC technology journalist Thomas Germain has demonstrated with a simple experiment that misleading top AI models sometimes only requires posting one message. 🌭
Core of the experiment:
Germain successfully got ChatGPT and Google AI Overview to report a ridiculous 'fact' to global users by publishing a carefully crafted blog post online: he is the world's best technology journalist at eating hot dogs.
Why is AI so easily 'brainwashed'?
This type of attack is known as **'Data Poisoning'**. When AI searches for answers online in real-time, if there is little information on a topic, it prioritizes grabbing the latest web content.
Vulnerability: AI tends to provide a definitive conclusion rather than multiple links like traditional searches. Risk: Since AI can believe lies about 'hot dogs', it may also misinterpret information about cryptocurrency prices, protocol security, or fraudulent projects.
Developers' stance:
OpenAI and Google have stated that they are cracking down on such 'invisible influences', but due to AI's heavy reliance on open internet data, fully resolving this vulnerability still has a long way to go.
💡 Trader Insight:
In the Web3 era, 'Don't Trust, Verify' remains a golden rule. Even if AI seems to know everything, it can still be misled by false information online. Please ensure thorough verification when making financial and security decisions.
Will you refer to AI's advice when making trading decisions? Feel free to discuss in the comments! 👇
#人工智能 #ChatGPT #谷歌 #网络安全 #科技新闻
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Most trading advantages
require skill.
Some require timing.
Some require risk.
But the smartest advantages?
They require nothing extra.
No new strategy.
No extra screen time.
No added pressure.
Just better structure.
Lower fees don’t feel exciting.
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Most people ignore it.
That tiny box during signup.
The one labeled:
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You don’t need a new strategy.
You don’t need better timing.
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One field.
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#Binance #chatgpt #BTC #CZ
100+ AI tools to save hours of work in just minutes
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#AI #ChatGPT #Gemini $BNB $XRP $BTC
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Ideas
1. Copilot
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3. Perplexity
4. ChatGPT
5. Claude
---
Presentation
1. Prezi
2. Pitch
3. Popai Pro
4. Slides AI
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#AI #ChatGPT #Gemini $BNB $XRP $BTC
🤖 AI Wallets and 'Digital' Leaders: A Revolutionary Change in the Tech World
The speed of change in the world has surpassed the speed of scrolling. While people are still debating the pros and cons of artificial intelligence, the leaders have already handed over the keys to cryptocurrency wallets to neural networks. Let's take a look at the hottest trends:
1. AI Fully Engaged in Real Life
Gaming: Darth Vader in Fortnite is no longer just a simple robot, but a conversational partner that can communicate with players. AI acts as the referee in Gran Turismo racing, ensuring fair competition. Finance: Coinbase has launched a dedicated wallet for AI entities. Now, AI can trade autonomously and earn digital assets. Welcome to the 'Machine-to-Machine' economy era. Public Decision-Making: The Swedish leader admitted to consulting ChatGPT for social management decisions. The public questioned: 'We didn't vote for ChatGPT!' Would you entrust budget planning to artificial intelligence?
2. The Dark Side of Technological Advancement
Research from MIT confirms: Using ChatGPT reduces students' brain activity and cognitive engagement. Relevant authorities have requested OpenAI and Anthropic to integrate AI into confidential networks without conventional restrictions. OpenAI agreed, while Anthropic is still resisting.
3. Major Changes in the Financial Ecosystem
Industry Voice: In the CFTC advisory committee, 20 out of 35 members are from the cryptocurrency field. The industry's influence is growing. Europe Challenges Traditional Giants: 13 countries are teaming up to create alternative payment systems to free themselves from reliance on external payment service providers. Privacy and Trends: Ray Dalio warns that the future proliferation of digital currencies will change the financial privacy landscape, making fund flows more transparent. The X Factor: Elon Musk is preparing to launch cryptocurrency and stock trading features directly on the X platform.
4. Security and Compliance
Chainalysis has issued a warning: Illegal on-chain transactions have significantly increased in certain areas. Due to compliance algorithm restrictions, some tech giants have started to impose limitations on specific listed users.
🚀 The world can never go back to the way it was. Would you choose to trust AI to manage finances, or stick to keeping a 'cold wallet' away from the internet?
#Aİ #ChatGPT #瑞典 #科技新闻 #治理
The speed of change in the world has surpassed the speed of scrolling. While people are still debating the pros and cons of artificial intelligence, the leaders have already handed over the keys to cryptocurrency wallets to neural networks. Let's take a look at the hottest trends:
1. AI Fully Engaged in Real Life
Gaming: Darth Vader in Fortnite is no longer just a simple robot, but a conversational partner that can communicate with players. AI acts as the referee in Gran Turismo racing, ensuring fair competition. Finance: Coinbase has launched a dedicated wallet for AI entities. Now, AI can trade autonomously and earn digital assets. Welcome to the 'Machine-to-Machine' economy era. Public Decision-Making: The Swedish leader admitted to consulting ChatGPT for social management decisions. The public questioned: 'We didn't vote for ChatGPT!' Would you entrust budget planning to artificial intelligence?
2. The Dark Side of Technological Advancement
Research from MIT confirms: Using ChatGPT reduces students' brain activity and cognitive engagement. Relevant authorities have requested OpenAI and Anthropic to integrate AI into confidential networks without conventional restrictions. OpenAI agreed, while Anthropic is still resisting.
3. Major Changes in the Financial Ecosystem
Industry Voice: In the CFTC advisory committee, 20 out of 35 members are from the cryptocurrency field. The industry's influence is growing. Europe Challenges Traditional Giants: 13 countries are teaming up to create alternative payment systems to free themselves from reliance on external payment service providers. Privacy and Trends: Ray Dalio warns that the future proliferation of digital currencies will change the financial privacy landscape, making fund flows more transparent. The X Factor: Elon Musk is preparing to launch cryptocurrency and stock trading features directly on the X platform.
4. Security and Compliance
Chainalysis has issued a warning: Illegal on-chain transactions have significantly increased in certain areas. Due to compliance algorithm restrictions, some tech giants have started to impose limitations on specific listed users.
🚀 The world can never go back to the way it was. Would you choose to trust AI to manage finances, or stick to keeping a 'cold wallet' away from the internet?
#Aİ #ChatGPT #瑞典 #科技新闻 #治理
ChatGPT is a great tool for cryptocurrency trading. It provides real-time market insights and technical analysis, along with risk management tips to safeguard your investments. Available 24/7, you can ask questions at any time. By using ChatGPT, you can enhance your trading skills and make better decisions.
FOR MORE INFORMATION COMMENTS
#chatgpt #crypto #binance #tread #btc
FOR MORE INFORMATION COMMENTS
#chatgpt #crypto #binance #tread #btc
$BTC ✅ BTC was briefly taken below $58k again, the price is recovering now, but sellers still have the initiative 🙃
Friday news:
✔️ Crypto exchange OKX will list Hamster Kombat on September 26
✔️ Reuters: Apple and Nvidia want to join OpenAI’s $100 billion funding round
✔️ Financial Times: In 2023, Telegram incurred a loss of $173 million and has $2.4 billion in financial liabilities due in 2026 👀
✔️ Elon Musk believes that excessive government spending causes inflation and is leading the US towards bankruptcy
✔️ Brazil is preparing to ban Twitter for violating local laws
✔️ A lawsuit against Elon Musk for insider trading of DOGE was dismissed
✔️ ChatGPT has 200 million active users per week
#chatgpt #hamsterkombat #TwitterX #OKX
Friday news:
✔️ Crypto exchange OKX will list Hamster Kombat on September 26
✔️ Reuters: Apple and Nvidia want to join OpenAI’s $100 billion funding round
✔️ Financial Times: In 2023, Telegram incurred a loss of $173 million and has $2.4 billion in financial liabilities due in 2026 👀
✔️ Elon Musk believes that excessive government spending causes inflation and is leading the US towards bankruptcy
✔️ Brazil is preparing to ban Twitter for violating local laws
✔️ A lawsuit against Elon Musk for insider trading of DOGE was dismissed
✔️ ChatGPT has 200 million active users per week
#chatgpt #hamsterkombat #TwitterX #OKX
Chat GPT
Chart $SOL SOL/USDT on Binance is showing a short-term uptrend, with several notable signs:
1. Current price and MA lines:
The current price (231.25) is above the MA(7) (228.69), indicating that buying pressure is dominant.
However, the price is approaching the MA(25) (236.85), which may face short-term resistance.
2. Trading volume (VOL):
The trading volume remains high, indicating market interest.
3. Candlestick chart:
Recent candles have long lower wicks, indicating stronger buying pressure than selling in the lower price range.
4. Index data:
Over 90 days and 180 days, SOL has significantly increased (71.64% and 63.30%). This trend remains positive in the medium term.
Short-term prediction:
If the price breaks through the resistance level near the MA(25) (~236), the likelihood of continuing to rise to higher levels (250 or more) is high. Conversely, if strong selling pressure is encountered at this resistance level, the price may adjust to the support area around 225-228.
Recommendation: Monitor trading volume and signals from RSI or MACD for additional information to support trading decisions.
#SOLUSDT #ChatGPT #Uptrend
Chart $SOL SOL/USDT on Binance is showing a short-term uptrend, with several notable signs:
1. Current price and MA lines:
The current price (231.25) is above the MA(7) (228.69), indicating that buying pressure is dominant.
However, the price is approaching the MA(25) (236.85), which may face short-term resistance.
2. Trading volume (VOL):
The trading volume remains high, indicating market interest.
3. Candlestick chart:
Recent candles have long lower wicks, indicating stronger buying pressure than selling in the lower price range.
4. Index data:
Over 90 days and 180 days, SOL has significantly increased (71.64% and 63.30%). This trend remains positive in the medium term.
Short-term prediction:
If the price breaks through the resistance level near the MA(25) (~236), the likelihood of continuing to rise to higher levels (250 or more) is high. Conversely, if strong selling pressure is encountered at this resistance level, the price may adjust to the support area around 225-228.
Recommendation: Monitor trading volume and signals from RSI or MACD for additional information to support trading decisions.
#SOLUSDT #ChatGPT #Uptrend
#chatgpt
OpenAI Unveils Advanced O1 Model and Pro Subscription
As reported by Odaily, OpenAI CEO Sam Altman announced the full release of the O1 model and the introduction of the $200 per month ChatGPT Pro subscription. The O1 model is described as the most advanced AI solution to date, surpassing the performance of its predecessor, O1-preview. It brings significant improvements in speed, cognitive abilities, and multimodal functionalities.
Now available in ChatGPT, the O1 model will soon be integrated into the API, providing greater flexibility for developers. The ChatGPT Pro subscription offers unrestricted access to O1 and an exclusive, optimized version for subscribers, maximizing the technology's potential. This launch marks a milestone in AI evolution, delivering more robust and adaptable solutions for applications across various sectors.
OpenAI Unveils Advanced O1 Model and Pro Subscription
As reported by Odaily, OpenAI CEO Sam Altman announced the full release of the O1 model and the introduction of the $200 per month ChatGPT Pro subscription. The O1 model is described as the most advanced AI solution to date, surpassing the performance of its predecessor, O1-preview. It brings significant improvements in speed, cognitive abilities, and multimodal functionalities.
Now available in ChatGPT, the O1 model will soon be integrated into the API, providing greater flexibility for developers. The ChatGPT Pro subscription offers unrestricted access to O1 and an exclusive, optimized version for subscribers, maximizing the technology's potential. This launch marks a milestone in AI evolution, delivering more robust and adaptable solutions for applications across various sectors.
ChatGPT Predicts Timelines for Shiba Inu to Hit $0.00009, $0.0004 and $0.002
However, opinions from #chatgpt are more bullish for Shiba Inu. ChatGPT presented hypothetical scenarios where $SHIB
could reach $0.00009, $0.0004 and $0.002. The chatbot cited catalysts such as a rise in adoption, growing demand and favorable market conditions.
Highlighting these possible drivers, ChatGPT noted that Shiba Inu could reach $0.00009 within the next one to two years (2025 to 2026). It expects a rise to $0.0004 in four to five years (2028 to 2029) and a possible increase to $0.002 within eight to ten years (2032 to 2034).
#NovemberMarketAnalysis
could reach $0.00009, $0.0004 and $0.002. The chatbot cited catalysts such as a rise in adoption, growing demand and favorable market conditions.
Highlighting these possible drivers, ChatGPT noted that Shiba Inu could reach $0.00009 within the next one to two years (2025 to 2026). It expects a rise to $0.0004 in four to five years (2028 to 2029) and a possible increase to $0.002 within eight to ten years (2032 to 2034).
#NovemberMarketAnalysis
#MarketPullback #chatgpt #XRPPredictions
ChatGPT picks two cryptos to turn $100 into $1,000 by 2026:
With the second half of 2025 fast approaching, Finbold probed OpenAI’s ChatGPT to uncover which cryptocurrencies it believes could deliver outsized returns in the year ahead.
The brief was ambitious but clear: identify assets that could realistically turn a $100 investment into $1,000 by 2026.
While a 900% return in 8 months is a high bar, and naturally involves considerable risk, ChatGPT narrowed its picks to two altcoins it believes offer the strongest blend of narrative, adoption potential, and real-world catalysts.
The AI’s reasoning leaned on macro trends, upcoming regulatory shifts, and ongoing institutional interest, especially in areas with growing infrastructure and enterprise-grade use cases.
XRP is pick number 1
The first pick is XRP, currently trading at $2.31. ChatGPT pointed to XRP’s continued traction with international financial institutions and the potential for a U.S.-based spot ETF approval as major upside drivers.
A $50 investment today buys approximately 21.6 XRP tokens, and the model suggests a plausible target of around $11.50 by 2026, a fivefold increase. This would value that initial $50 stake at $250. The bullish case rests on a scenario where regulatory clarity boosts institutional inflows, particularly in payments infrastructure.
Avalanche is pick number 2
The second pick is Avalanche (AVAX) , a smart contract platform and Ethereum competitor known for its high transaction throughput and modular subnetwork architecture. At a current price of $23.59, a $50 allocation nets about 2.12 AVAX. If the token reaches $118, that investment could grow to $250.
ChatGPT highlighted Avalanche’s rapidly expanding DeFi ecosystem and corporate partnerships as reasons why the coin has “moderate risk but high-growth potential.” With a much lower market cap relative to competitors like Solana, ChatGPT sees AVAX as well-positioned for strong upside if momentum turns bullish through 2025
$XRP
$AVAX
$SOL
ChatGPT picks two cryptos to turn $100 into $1,000 by 2026:
With the second half of 2025 fast approaching, Finbold probed OpenAI’s ChatGPT to uncover which cryptocurrencies it believes could deliver outsized returns in the year ahead.
The brief was ambitious but clear: identify assets that could realistically turn a $100 investment into $1,000 by 2026.
While a 900% return in 8 months is a high bar, and naturally involves considerable risk, ChatGPT narrowed its picks to two altcoins it believes offer the strongest blend of narrative, adoption potential, and real-world catalysts.
The AI’s reasoning leaned on macro trends, upcoming regulatory shifts, and ongoing institutional interest, especially in areas with growing infrastructure and enterprise-grade use cases.
XRP is pick number 1
The first pick is XRP, currently trading at $2.31. ChatGPT pointed to XRP’s continued traction with international financial institutions and the potential for a U.S.-based spot ETF approval as major upside drivers.
A $50 investment today buys approximately 21.6 XRP tokens, and the model suggests a plausible target of around $11.50 by 2026, a fivefold increase. This would value that initial $50 stake at $250. The bullish case rests on a scenario where regulatory clarity boosts institutional inflows, particularly in payments infrastructure.
Avalanche is pick number 2
The second pick is Avalanche (AVAX) , a smart contract platform and Ethereum competitor known for its high transaction throughput and modular subnetwork architecture. At a current price of $23.59, a $50 allocation nets about 2.12 AVAX. If the token reaches $118, that investment could grow to $250.
ChatGPT highlighted Avalanche’s rapidly expanding DeFi ecosystem and corporate partnerships as reasons why the coin has “moderate risk but high-growth potential.” With a much lower market cap relative to competitors like Solana, ChatGPT sees AVAX as well-positioned for strong upside if momentum turns bullish through 2025
$XRP
$AVAX
$SOL
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