Terissa Mercedes

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Terissa Mercedes

Terissa Mercedes

@TMMH4R7

👑♥️ 🇺🇸 👁️ ➕Peace, Freedom, Liberty, Justice, Truth Liberate the US. Remove isreal from US. telegram tmercedesm

Katılım Aralık 2023
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Terissa Mercedes
Terissa Mercedes@TMMH4R7·
What’s going to happen and you’re not going to like it. Is we are going to prosecute every politician who has been complicit with the genocide in Gaza along with the tech industry. Alex carp, Peter theil and Elon musk. We are going to prosecute all of the financial criminals and child predators associated with netenyahu and his child sex trafficking ring. And we are going to prosecute everyone involved in stealing the money from the government that has created this debt in balance. And we are going to prosecute trump for his crypto currency schemes. And we are also going to prosecute US politicians for blatant acts of TREASON against the United States. And you will ALL SERVE sentences. That is what you have to look forward to. If we privatize education, if we privatize, the post office, ect. All of that money needs to be deducted from American tax payers taxes. Americans have paid out our taxes. The government has mis managed and mis spent our money. We are not working full time to pay off GOVERNMENT DEBT. That is the governments job to figure out. If you cut government programs and services all tax payer money is NOT towards debt. Americans have already contributed. Americans tax payers should NO LONGER have to fund this portion of the government. Thus lowering taxes. A group of people in our society ARE going to get tax cuts. THAT NEEDS to BE the MIDDLE and LOWER ECONOMIC AMERICAN PEOPLE UN SHADOWBAN MY ACCOUNT!!! Here to make sure that X media platform for “free speech" is not being used as a jewish propaganda machine. This is information warfare. Do NOT act like you don’t know what’s going on. 90% of this platform is FAKE. AI is NOT intelligent it is mind control bullshit. Do NOT accept a neurolink chip in your brain. It is NOT necessary to keep up with “AI.” Maintain your free will. Trying to keep America free and Independent and the world peaceful. *************I want to make it clear to all management agencies, clients, artist, organizations and companies. You do NOT have permission to use my personal information, style, ideas and concepts that have not been made public and that you do NOT have explicit permission to use. Those who reject Christ are the antichrist. You have to understand there is no “juedo” Christianity. You NEED to educate yourself on juadiasm that mostly goes by the talamud not the Old Testament. Which is a disgusting text and insults Christians, Christianity and Jesus. Along with ANYONE who is NOT jewish. These people have rejected God as you see reflected in their behavior. They are the antichrist force. A force Against humanity and Peace. A force for corruption and destruction. You NEED to stop following these people. They are leading you to hell. rabbinic judiasm is a DEMONIC religion and you NEED to accept that as the TRUTH. jews need to come to repentance. Faith in Jesus is Love. It is COSMIC. What’s our budget for isreal? 17.9 billion since 2023. This is a state with the most billionaires per capita of any other country. Do you think US taxpayers will get that money back?? In 2025 The US according to the chart will be going into a deficit of 2 billion dollars and about 2 billion every year after that. So how does it make sense that we were able to aid isreal with 17 billion dollars in 2 years. That is 10 years of deficit to the US. We have absolutely NOT benefited from THEIR CONFLICTS. And I really don’t want to contribute to their degenerate behaviors. @CNN @FoxNews @nytimes @CNNEE @AJEnglish @TheDemocrats @RandPaul @elonmusk @UN @euronews @HouseDemocrats @CapitaineIb226 @HouseGOP @SenateGOP @AJEnglish @Israel @NicolasMaduro @netanyahu @chinascio @marcorubio @KremlinRussia_E @washingtonpost @nytimes @POTUS @PeteHegseth @TuckerCarlson @RTErdogan @AlsisiOfficial @KSAMOFA @GiorgiaMeloni @IntlCrimCourt @USMC @USArmy @USNavy @realDonaldTrump @tedcruz @SpeakerJohnson @RandPaul @realDonaldTrump @DougAMacgregor
Terissa Mercedes tweet mediaTerissa Mercedes tweet mediaTerissa Mercedes tweet mediaTerissa Mercedes tweet media
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Terissa Mercedes
Terissa Mercedes@TMMH4R7·
FUCK NO. You stupid bitches. China is doing this “100 million” job for 3 million. I can’t stand the idiots in the US tech industry absolute schemers. OpenAI recently finalized a record-breaking $122 billion funding round, bringing its post-money valuation to $852 billion. This capital injection—led by Amazon ($50B), NVIDIA ($30B), and SoftBank ($30B)—is intended to fund massive infrastructure, including chips and data centers.  Bloomberg Law News  +2 While China does not have a single entity with a matching valuation, its AI ecosystem operates at a fraction of the cost, often achieving similar performance for 1/10th to 1/20th of the investment.  YouTube  +1 China's Cost Efficiency vs. OpenAI Chinese labs have demonstrated an ability to replicate "frontier" capabilities with significantly less capital and hardware:  •Training Costs: While OpenAI reportedly spent $80M–$100M to train GPT-4, Chinese startup 01.ai trained a rival model for just $3Musing only 2,000 GPUs. •Operational Efficiency: Analysis from RANDindicates Chinese models operate at 1/6th to 1/4th the cost of comparable U.S. models. •Open-Source Dominance: Chinese models like DeepSeek V3 (trained for ~$5.5M) and Qwen often match or exceed the benchmarks of U.S. proprietary models while being free to use or significantly cheaper to run.  •Reddit
 +4 Valuation Gap in the Chinese Market Chinese AI "unicorns" are currently valued at a massive discount compared to OpenAI:  LinkedIn  +2 •MiniMax: Valued at approximately $21 billion. •Zhipu AI: Valued at approximately $13 billion. •Moonshot AI (Kimi): Recently reached a $5 billion valuation.  •FD | Substack
 Strategic Differences •The "Superapp" vs. AGI: While OpenAI is pivoting toward an integrated AI "superapp"and AGI (Artificial General Intelligence), Chinese firms are prioritizing low-cost ubiquity and enterprise integration within the domestic market. •Hardware Constraints: Due to U.S. export regulations, Chinese companies rely on "detailed engineering" and optimization to overcome limited access to the latest NVIDIA GPUs.  •YouTube
 +3 Would you like a more detailed breakdown of the specific performance benchmarks comparing these cheaper Chinese models to OpenAI's latest releases?
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Terissa Mercedes retweetledi
Polymarket
Polymarket@Polymarket·
BREAKING: OpenAI has closed its funding round at a post-money valuation of $852,000,000,000.00
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Terissa Mercedes
Terissa Mercedes@TMMH4R7·
X won’t even let me post this!!!! FUCK NO. You stupid bitches. China is doing this “100 million” job for 3 million. I can’t stand the idiots in the US tech industry absolute schemers. OpenAI recently finalized a record-breaking $122 billion funding round, bringing its post-money valuation to $852 billion. This capital injection—led by Amazon ($50B), NVIDIA ($30B), and SoftBank ($30B)—is intended to fund massive infrastructure, including chips and data centers.  Bloomberg Law News  +2 While China does not have a single entity with a matching valuation, its AI ecosystem operates at a fraction of the cost, often achieving similar performance for 1/10th to 1/20th of the investment.  YouTube  +1 China's Cost Efficiency vs. OpenAI Chinese labs have demonstrated an ability to replicate "frontier" capabilities with significantly less capital and hardware:  •Training Costs: While OpenAI reportedly spent $80M–$100M to train GPT-4, Chinese startup 01.ai trained a rival model for just $3Musing only 2,000 GPUs. •Operational Efficiency: Analysis from RANDindicates Chinese models operate at 1/6th to 1/4th the cost of comparable U.S. models. •Open-Source Dominance: Chinese models like DeepSeek V3 (trained for ~$5.5M) and Qwen often match or exceed the benchmarks of U.S. proprietary models while being free to use or significantly cheaper to run.  •Reddit
 +4 Valuation Gap in the Chinese Market Chinese AI "unicorns" are currently valued at a massive discount compared to OpenAI:  LinkedIn  +2 •MiniMax: Valued at approximately $21 billion. •Zhipu AI: Valued at approximately $13 billion. •Moonshot AI (Kimi): Recently reached a $5 billion valuation.  •FD | Substack
 Strategic Differences •The "Superapp" vs. AGI: While OpenAI is pivoting toward an integrated AI "superapp"and AGI (Artificial General Intelligence), Chinese firms are prioritizing low-cost ubiquity and enterprise integration within the domestic market. •Hardware Constraints: Due to U.S. export regulations, Chinese companies rely on "detailed engineering" and optimization to overcome limited access to the latest NVIDIA GPUs.  •YouTube
 +3 Would you like a more detailed breakdown of the specific performance benchmarks comparing these cheaper Chinese models to OpenAI's latest releases?
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Terissa Mercedes
Terissa Mercedes@TMMH4R7·
X won’t even let me post this!!!! FUCK NO. You stupid bitches. China is doing this “100 million” job for 3 million. I can’t stand the idiots in the US tech industry absolute schemers. OpenAI recently finalized a record-breaking $122 billion funding round, bringing its post-money valuation to $852 billion. This capital injection—led by Amazon ($50B), NVIDIA ($30B), and SoftBank ($30B)—is intended to fund massive infrastructure, including chips and data centers.  Bloomberg Law News  +2 While China does not have a single entity with a matching valuation, its AI ecosystem operates at a fraction of the cost, often achieving similar performance for 1/10th to 1/20th of the investment.  YouTube  +1 China's Cost Efficiency vs. OpenAI Chinese labs have demonstrated an ability to replicate "frontier" capabilities with significantly less capital and hardware:  •Training Costs: While OpenAI reportedly spent $80M–$100M to train GPT-4, Chinese startup 01.ai trained a rival model for just $3Musing only 2,000 GPUs. •Operational Efficiency: Analysis from RANDindicates Chinese models operate at 1/6th to 1/4th the cost of comparable U.S. models. •Open-Source Dominance: Chinese models like DeepSeek V3 (trained for ~$5.5M) and Qwen often match or exceed the benchmarks of U.S. proprietary models while being free to use or significantly cheaper to run.  •Reddit
 +4 Valuation Gap in the Chinese Market Chinese AI "unicorns" are currently valued at a massive discount compared to OpenAI:  LinkedIn  +2 •MiniMax: Valued at approximately $21 billion. •Zhipu AI: Valued at approximately $13 billion. •Moonshot AI (Kimi): Recently reached a $5 billion valuation.  •FD | Substack
 Strategic Differences •The "Superapp" vs. AGI: While OpenAI is pivoting toward an integrated AI "superapp"and AGI (Artificial General Intelligence), Chinese firms are prioritizing low-cost ubiquity and enterprise integration within the domestic market. •Hardware Constraints: Due to U.S. export regulations, Chinese companies rely on "detailed engineering" and optimization to overcome limited access to the latest NVIDIA GPUs.  •YouTube
 +3 Would you like a more detailed breakdown of the specific performance benchmarks comparing these cheaper Chinese models to OpenAI's latest releases?
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Terissa Mercedes
Terissa Mercedes@TMMH4R7·
FUCK NO. You stupid bitches. China is doing this “100 million” job for 3 million. I can’t stand the idiots in the US tech industry absolute schemers. OpenAI recently finalized a record-breaking $122 billion funding round, bringing its post-money valuation to $852 billion. This capital injection—led by Amazon ($50B), NVIDIA ($30B), and SoftBank ($30B)—is intended to fund massive infrastructure, including chips and data centers.   Bloomberg Law News  +2 While China does not have a single entity with a matching valuation, its AI ecosystem operates at a fraction of the cost, often achieving similar performance for 1/10th to 1/20th of the investment.   YouTube  +1 China's Cost Efficiency vs. OpenAI Chinese labs have demonstrated an ability to replicate "frontier" capabilities with significantly less capital and hardware:  •Training Costs: While OpenAI reportedly spent $80M–$100M to train GPT-4, Chinese startup 01.ai trained a rival model for just $3Musing only 2,000 GPUs. •Operational Efficiency: Analysis from RANDindicates Chinese models operate at 1/6th to 1/4th the cost of comparable U.S. models. •Open-Source Dominance: Chinese models like DeepSeek V3 (trained for ~$5.5M) and Qwen often match or exceed the benchmarks of U.S. proprietary models while being free to use or significantly cheaper to run.  •Reddit
 +4 Valuation Gap in the Chinese Market Chinese AI "unicorns" are currently valued at a massive discount compared to OpenAI:   LinkedIn  +2 •MiniMax: Valued at approximately $21 billion. •Zhipu AI: Valued at approximately $13 billion. •Moonshot AI (Kimi): Recently reached a $5 billion valuation.  •FD | Substack
 Strategic Differences •The "Superapp" vs. AGI: While OpenAI is pivoting toward an integrated AI "superapp"and AGI (Artificial General Intelligence), Chinese firms are prioritizing low-cost ubiquity and enterprise integration within the domestic market. •Hardware Constraints: Due to U.S. export regulations, Chinese companies rely on "detailed engineering" and optimization to overcome limited access to the latest NVIDIA GPUs.  •YouTube
 +3 Would you like a more detailed breakdown of the specific performance benchmarks comparing these cheaper Chinese models to OpenAI's latest releases?
Polymarket@Polymarket

BREAKING: OpenAI has closed its funding round at a post-money valuation of $852,000,000,000.00

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Terissa Mercedes
Terissa Mercedes@TMMH4R7·
FUCK NO. You stupid bitches. China is doing this “100 million” job for 3 million. I can’t stand the idiots in the US tech industry absolute schemers. OpenAI recently finalized a record-breaking $122 billion funding round, bringing its post-money valuation to $852 billion. This capital injection—led by Amazon ($50B), NVIDIA ($30B), and SoftBank ($30B)—is intended to fund massive infrastructure, including chips and data centers.   Bloomberg Law News  +2 While China does not have a single entity with a matching valuation, its AI ecosystem operates at a fraction of the cost, often achieving similar performance for 1/10th to 1/20th of the investment.   YouTube  +1 China's Cost Efficiency vs. OpenAI Chinese labs have demonstrated an ability to replicate "frontier" capabilities with significantly less capital and hardware:  •Training Costs: While OpenAI reportedly spent $80M–$100M to train GPT-4, Chinese startup 01.ai trained a rival model for just $3Musing only 2,000 GPUs. •Operational Efficiency: Analysis from RANDindicates Chinese models operate at 1/6th to 1/4th the cost of comparable U.S. models. •Open-Source Dominance: Chinese models like DeepSeek V3 (trained for ~$5.5M) and Qwen often match or exceed the benchmarks of U.S. proprietary models while being free to use or significantly cheaper to run.  •Reddit
 +4 Valuation Gap in the Chinese Market Chinese AI "unicorns" are currently valued at a massive discount compared to OpenAI:   LinkedIn  +2 •MiniMax: Valued at approximately $21 billion. •Zhipu AI: Valued at approximately $13 billion. •Moonshot AI (Kimi): Recently reached a $5 billion valuation.  •FD | Substack
 Strategic Differences •The "Superapp" vs. AGI: While OpenAI is pivoting toward an integrated AI "superapp"and AGI (Artificial General Intelligence), Chinese firms are prioritizing low-cost ubiquity and enterprise integration within the domestic market. •Hardware Constraints: Due to U.S. export regulations, Chinese companies rely on "detailed engineering" and optimization to overcome limited access to the latest NVIDIA GPUs.  •YouTube
 +3 Would you like a more detailed breakdown of the specific performance benchmarks comparing these cheaper Chinese models to OpenAI's latest releases?
Polymarket@Polymarket

BREAKING: OpenAI has closed its funding round at a post-money valuation of $852,000,000,000.00

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New York Post
New York Post@nypost·
'Dangerous' Mamdani won't 'protect Jews from the mob' 103-year-old holocaust survivor warns trib.al/SIeuLVn
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Rafal P
Rafal P@rafal0077·
@TMMH4R7 @JessicaTetreau Please explain how he "owed" 160billion in taxes. Is this based on actual tax law, or your imaginary tax law
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Jessica
Jessica@JessicaTetreau·
This entire playground at my son’s school was purchased and installed when Elon Musk donated $30,000,000.00 to Brownsville and local schools. Everyday when I come pick up my son from school, I see kids playing on it and I always hope Elon is having a good day wherever he is. Before this, the only option they had for playtime was to run around on the asphalt.
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Terissa Mercedes
Terissa Mercedes@TMMH4R7·
I got a lot of claps for that one. Everyone’s welcome. We need to get our money back and shut these asshole schemers up. They are not victims. We are victims of them. Doesn’t have to be a problem. Pay us our money back. Apologize for taking it. And leave us alone.
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