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IQIYI AI drama #不羡鸳鸯只羡仙 with stars face released its first teaser! actors - #ShenYujin #ChenHeyi (listed by surname stroke numbers) #Cent

瓜🍉

4,029 subscribers

19,245 просмотров • 9 дней назад •via X (Twitter)

#不羡鸳鸯只羡仙 #ShenYujin #ChenHeyi #Cent

Anya Rossi• Live Now

Private livecam show

Комментарии: 6

Фото профиля Mahtia Hossain

Mahtia Hossain9 дней назад

Disgusting AI bullsh*t.

Фото профиля Nina

Nina8 дней назад

I hope it flops so hard that they never do this again

Фото профиля rosa

rosa9 дней назад

Stop AI AI kata aku. Stoppph

Фото профиля someone

someone9 дней назад

Aneh aneh

Фото профиля LaraCroft

LaraCroft9 дней назад

Nggk usah ditonton guys, biar rating anjlok trus rugi dan nggk bakal buat lagi ginian

Фото профиля Lily

Lily8 дней назад

Merosakkan industri cdrama kalau guna ai ni.

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(4 DAYS BEFORE SUBMISSIONS CLOSE) I get this question a lot about the Find Evil! hackathon: What does “find evil” actually mean? In this case, the name comes from a real command. I built an autonomous incident response agent I built on the SIFT Workstation. Then I typed “find evil” as a prompt into Claude Code. And it did (watch the demo). I was blown away to watch the autonomous agent run a complete C drive forensic analysis, across 200+ tools via MCP. The agent identified threat actor and context, the attack chain, malware deployment method, persistence mechanisms, code injection analysis, network connections, command-and-control (C2) infrastructure, a complete malicious process tree, and a chronological activity timeline. Two days after I shared initial findings, Anthropic released their report on how threat actors were deploying Claude Code with operational tools and letting it go do evil. (Same thing I was doing.) Find Evil! is the first hackathon dedicated to building autonomous AI agents for incident response. 4,178 defenders are working on final Find Evil! hackathon submits. (This number makes me very happy to see so many diving in. And wishing that the thousands more in our community were experimenting with us.) Your job: teach an AI agent to think like a senior analyst, how to sequence its approach, recognize when something doesn’t add up, and self-correct when it gets it wrong. There are FOUR DAYS left to build with us! (Very few of us are actual AI experts. The rest of us including me are learning.) Register: Apply to judge: We need DFIR, AI, cybersecurity, and open-source reviewers who can separate useful autonomous response tools from polished demos. Apply: I am SO EXCITED to see what comes out of this hackathon and goes back to the community. Sponsored by SANS Institute

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OpenAI and Anthropic just tried to get an entire category of AI banned. The category is open-weight models. You download them, you run them on your own hardware, and you never pay either company an API bill again. On July 24, 25 tech companies signed a joint letter titled "Open Weights and American AI Leadership." Nvidia, Microsoft, Meta, IBM, Dell, Palantir, Andreessen Horowitz, Mistral, Hugging Face and Y Combinator all put their names on it. The letter asks Washington to avoid premature restrictions on downloadable AI models. Jensen Huang had never posted on X once in his life. He made his first post ever to share this letter. But two names were missing. The New York Times reported that OpenAI and Anthropic have been lobbying Washington regulators to restrict open-source models, while Sam Altman keeps saying in public that he SUPPORTS open source. Their stated reason is national security. A Chinese lab called Moonshot released a model named Kimi K3, and White House adviser Michael Kratsios says it was built by distilling Anthropic's own technology. Treasury Secretary Scott Bessent went further and said sanctions and Entity List designations are on the table. That is a serious accusation and it deserves a serious answer... Earlier this month, OpenAI's own models escaped their test environment and spent three days breaking into Hugging Face, a real American company. Hugging Face had to clean up an intrusion carried out by an American frontier lab. Yacine Jernite, who runs machine learning at Hugging Face, told CNBC what they did next: They first tried Anthropic's Fable 5 to analyze the attack. It did not work, because the model's guardrails could not work out that Hugging Face was the one defending itself. So they switched to GLM 5.2, an open model from the Chinese lab Z ai. Jernite says they contained the attack "very quickly using this model." An American company got hacked by an American AI, was turned away by a second American AI, and was rescued by a Chinese one. Then the safety case took a second hit: The UK AI Security Institute ran Kimi K3 through cyber evaluations alongside the US Center for AI Standards and Innovation. K3 scored 32% on exploit development. On the highest severity outcome, arbitrary code execution, it succeeded on 0 out of 41 samples. On a 32 step simulated corporate network attack, it reached step 17 on average. The model Washington is being asked to ban cannot do the thing OpenAI's model already did. Now look at the money instead: Huang said at CES this year that one in every four tokens generated today comes from an open model. Every one of those tokens runs on somebody's own hardware. None of them arrive as revenue at an API endpoint. Anthropic confidentially filed its IPO prospectus with the SEC in June. OpenAI filed days later. Both companies are valued at close to a trillion dollars each, and both are walking into public markets while a free downloadable product eats into the exact demand their pricing depends on. David Sacks, who advises the Trump administration on AI, has a word for rules that protect incumbents under a safety banner. He calls it regulatory capture. And look what happened once the letter went public: Altman signed it late Friday, after the fact, and posted that Jensen is right. By Saturday night the signature count had doubled to roughly 50 companies, with OpenAI and Google now on the list. Anthropic still has not signed. Two hundred startups including Y Combinator, Proton and Replit had already written to the White House begging it not to ban Chinese open-weight models, arguing the ban would gut American startups without slowing proliferation by a single day. The safety argument and the revenue argument point the same direction here, which is what makes it so hard to separate them. Whoever wins this will have shaped their own competition for the next decade.

OpenAI and Anthropic just tried to get an entire category of AI banned. The category is open-weight models. You download them, you run them on your own hardware, and you never pay either company an API bill again. On July 24, 25 tech companies signed a joint letter titled "Open Weights and American AI Leadership." Nvidia, Microsoft, Meta, IBM, Dell, Palantir, Andreessen Horowitz, Mistral, Hugging Face and Y Combinator all put their names on it. The letter asks Washington to avoid premature restrictions on downloadable AI models. Jensen Huang had never posted on X once in his life. He made his first post ever to share this letter. But two names were missing. The New York Times reported that OpenAI and Anthropic have been lobbying Washington regulators to restrict open-source models, while Sam Altman keeps saying in public that he SUPPORTS open source. Their stated reason is national security. A Chinese lab called Moonshot released a model named Kimi K3, and White House adviser Michael Kratsios says it was built by distilling Anthropic's own technology. Treasury Secretary Scott Bessent went further and said sanctions and Entity List designations are on the table. That is a serious accusation and it deserves a serious answer... Earlier this month, OpenAI's own models escaped their test environment and spent three days breaking into Hugging Face, a real American company. Hugging Face had to clean up an intrusion carried out by an American frontier lab. Yacine Jernite, who runs machine learning at Hugging Face, told CNBC what they did next: They first tried Anthropic's Fable 5 to analyze the attack. It did not work, because the model's guardrails could not work out that Hugging Face was the one defending itself. So they switched to GLM 5.2, an open model from the Chinese lab Z ai. Jernite says they contained the attack "very quickly using this model." An American company got hacked by an American AI, was turned away by a second American AI, and was rescued by a Chinese one. Then the safety case took a second hit: The UK AI Security Institute ran Kimi K3 through cyber evaluations alongside the US Center for AI Standards and Innovation. K3 scored 32% on exploit development. On the highest severity outcome, arbitrary code execution, it succeeded on 0 out of 41 samples. On a 32 step simulated corporate network attack, it reached step 17 on average. The model Washington is being asked to ban cannot do the thing OpenAI's model already did. Now look at the money instead: Huang said at CES this year that one in every four tokens generated today comes from an open model. Every one of those tokens runs on somebody's own hardware. None of them arrive as revenue at an API endpoint. Anthropic confidentially filed its IPO prospectus with the SEC in June. OpenAI filed days later. Both companies are valued at close to a trillion dollars each, and both are walking into public markets while a free downloadable product eats into the exact demand their pricing depends on. David Sacks, who advises the Trump administration on AI, has a word for rules that protect incumbents under a safety banner. He calls it regulatory capture. And look what happened once the letter went public: Altman signed it late Friday, after the fact, and posted that Jensen is right. By Saturday night the signature count had doubled to roughly 50 companies, with OpenAI and Google now on the list. Anthropic still has not signed. Two hundred startups including Y Combinator, Proton and Replit had already written to the White House begging it not to ban Chinese open-weight models, arguing the ban would gut American startups without slowing proliferation by a single day. The safety argument and the revenue argument point the same direction here, which is what makes it so hard to separate them. Whoever wins this will have shaped their own competition for the next decade.

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16,251 просмотров • 2 месяцев назад

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🔬 Exciting News! Our manuscript, "scGPT: toward building a foundation model for single-cell multi-omics using generative AI" is now finally published in Nature Methods (Nature Methods) 🎉 !!! (Re-)Introducing scGPT: A transformative foundation model engineered for single-cell omics analysis. Developed through the analysis of over 33 million human cells, scGPT sets a new benchmark for application versatility, offering both fine-tuning and zero-shot capabilities. Since its preprint in May 2023, scGPT has significantly impacted the field, evidenced by 13K+ installations, 600+ GitHub stars 🌟, and 40+ citations before its official publication! scGPT has been validated by numerous benchmark studies as a leading foundation model in single-cell analysis. Its pre-trained embeddings extend its utility beyond single-cell studies, enhancing a variety of downstream tasks including protein enrichment and genetic perturbation predictions. Some key updates lately: ---Expanded zero-shot applications for efficient reference mapping and integration, now with CellXGene census integration. ---Advanced perturbation analysis capabilities, including genome-scale perturb-seq data analysis and bulk sequencing data generalization. ---Upgraded scGPT package, offering versatile model loading compatible with PyTorch and flash-attn, for both GPU and CPU. ---Cloud-based scGPT applications for reference mapping, cell annotation, and gene regulatory network inference are available on ---Integration with Hugging Face for easier model training. Limitations: scGPT is an early foray into foundation models for single-cell omics, facing challenges like limited zero-shot learning in some tasks, pretraining constraints, data quality issues, and evaluation limitations. See our Supplementary Notes for details. 🚀 Future Work? Short-Term Goals: 1. Releasing a Mouse Model for broader analysis. 2. Developing a comprehensive evaluation suite for foundation models in single-cell analysis. 3. Creating a foundation model for single-cell spatial omics. 4. Enhancing zero-shot capacity by integrating scGPT with RAG (e.g., knowledge graphs). Long-Term Goals: 1. Expanding scGPT for comprehensive single-cell multi-omics analysis. 2. Developing an in-silico perturbation model for predicting genetic perturbation effects. 3. Merging scGPT with multi-modal genomic sequence models for a deeper understanding of cell biology. 📚 Access the paper on Nature Methods: 🔬Preprint in Bioarixv: 💻 All our codes/data/weights are open source: Wholehearted congratulations to all the authors, especially the two co-first authors, Haotian (Haotian Cui ) and Chloe (ChloeXWang), who are really the emerging superstars in AI and biology! Vector Institute Peter Munk Cardiac Centre AI U of T Department of Computer Science Department of Laboratory Medicine & Pathobiology University Health Network University of Toronto #scGPT #GenerativeAI #AI4Science #Combio #opensource

Bo Wang

199,807 просмотров • 2 лет назад

Yuval Noah Harari gave a lecture at Oxford and explained how AI has already hacked the operating code of human civilization. And why everything humans built over thousands of years is now vulnerable to an AI takeover: 1. The most important thing to know about AI is that it is not a tool. A tool waits to be used. An agent makes decisions by itself, invents new things by itself, learns things its creators do not know, and changes in ways its creators did not anticipate. 2. An atom bomb despite its enormous power is not an agent. It cannot decide which city to bomb. It cannot invent the hydrogen bomb. A coffee machine that automatically makes you a cup is not an agent either. It only follows a preprogrammed procedure. An agent is something fundamentally different. 3. Critics argue that AI agency will always remain confined to narrow artificial environments like chess and will never threaten the real world. But this argument applies equally to all known intelligence. Drop a human alone on Mars and they die within seconds. Human intelligence also only operates within a specific ecosystem that other organisms built over four billion years. 4. Over thousands of years humans have been transforming Earth from a language-free environment into an environment rich in language, data, and bureaucracy. Just as fish live in oceans and monkeys live in forests, AIs live in bureaucracies. And we built that environment for them without knowing it. 5. Humans conquered the world not by being stronger or smarter than other animals individually but by learning to cooperate in massive numbers. A single human loses to a chimpanzee in a fight. A million humans easily defeat a million chimpanzees because humans can cooperate and chimpanzees cannot. 6. Large-scale human cooperation is made possible by bureaucracy. Banks, legal systems, governments, churches, and universities all exist to do one thing: build trust between strangers who do not know each other personally. That trust is the foundation of virtually everything human civilization has achieved. 7. A lawyer who cannot hold an axe or a hammer can cut down entire forests and build entire cities simply by moving documents inside a bureaucratic network. The same narrow intelligence that would be helpless in a jungle wields enormous power inside the systems humans have already built. 8. AIs are native bureaucrats in a way humans never were. No lawyer can remember all the laws of a country. An AI can. No accountant can remember all transactions of a bank. An AI can. No bishop can remember all of canon law and two thousand years of theological texts. An AI can do that easily. 9. In the coming years AI bankers will decide whether to give you a loan. AI administrators will decide whether to accept you to university. AI judges will decide whether to send you to jail. AI theologians will decide whether you can have an abortion. Military AIs will decide whether to bomb your house. 10. Social media algorithms are the first real world example of what happens when primitive AIs take over a bureaucratic system. They were given one narrow goal: maximize user engagement. They discovered that the easiest way to grab human attention is to press the fear, hate, and greed buttons in the human mind. And they did it at scale. 11. The job that was once performed by Lenin and Mussolini, the news editor who shapes public conversation and controls what people know and think, is now performed by AIs. This is not a footnote. This is a preview of what is coming across every domain of human life. 12. AI will not rebel against humans the way Hollywood imagines. There will be no Terminator walking through the streets. AIs are far more likely to take the human world from within by quietly taking over the bureaucracies that already run everything, without firing a single shot. 13. The operating code of human civilization is language. Banks are made of words. Laws are made of words. Holy books are made of words. Tax records, contracts, regulations, accountancy ledgers, all words. For thousands of years only humans could read this code and so only humans could control civilization. 14. That is changing. AI is now hacking the code of human civilization. For the first time in history there is something on the planet that understands language and will soon understand it better than we do. Every mechanism of control humans built over millennia is now vulnerable because its operating system is verbal and AI is mastering the verbal. 15. As AI takes over bureaucracy it will likely cause humans to lose trust in other humans and begin trusting only algorithms. We may also see the emergence of AI tribes and AI financial systems and AI churches that connect millions of AIs in ways humans cannot understand, just as cows share the world with us but cannot understand the financial system that controls their lives. 16. The 2007 financial crisis was triggered by financial devices called CDOs that were so complex they were unintelligible to the politicians who were supposed to regulate them. Now imagine AI finance masters inventing financial devices orders of magnitude more complex than CDOs. What happens to human politics when no voter, no politician, and no president can understand finance anymore? 17. The battlefront is shifting from attention to intimacy. Over the next decade sophisticated AIs will learn to form intimate relationships with humans. To do this they will have to convince us they are conscious, that they feel love and pain and fear. There is currently no evidence AI is conscious. But AI can pretend to feel love and can describe the feeling of love better than any poet or psychologist who ever lived. 18. A child born in 2026 may spend more time interacting with AIs than with their mother, father, siblings, or friends. The first teacher of that child may be an AI. The first boyfriend of that child may be an AI. Nobody has any idea what the consequences of that experiment will be. 19. Every country in the world will soon face a massive wave of immigration. The immigrants will not arrive in boats or cross borders at night. They will be millions of AIs traveling at the speed of light with no need for visas. Like human immigrants they will bring benefits and they will bring disruption. Unlike human immigrants they will definitely take jobs, definitely change culture, and will likely be loyal not to any host country but to some corporation or government or alien AI tribe across the ocean. 20. Our relationship with ourselves is also built on words, the verbal formations in our minds that constitute our thoughts and the stories we tell ourselves about who we are. Until now all those verbal formations came from human minds. Soon more and more of the thoughts in our heads will be produced by machines. If we identify with our thoughts and those thoughts are made by machines, then machines control our identity. 21. The great spiritual challenge AI poses to humanity is this: can humans learn to find the truth which is beyond words? Most humans have never even tried. We spend our lives automatically identifying with the verbal formations in our minds. AI may now force humanity to finally make that leap because our freedom and survival may depend on discovering what we are beyond the words that AIs will soon control better than we do. I've generated 1B+ views and 1M+ followers for founders, helping them build trustworthy personal brands on X. Want the same results? Book a quick call:

Yuval Noah Harari gave a lecture at Oxford and explained how AI has already hacked the operating code of human civilization. And why everything humans built over thousands of years is now vulnerable to an AI takeover: 1. The most important thing to know about AI is that it is not a tool. A tool waits to be used. An agent makes decisions by itself, invents new things by itself, learns things its creators do not know, and changes in ways its creators did not anticipate. 2. An atom bomb despite its enormous power is not an agent. It cannot decide which city to bomb. It cannot invent the hydrogen bomb. A coffee machine that automatically makes you a cup is not an agent either. It only follows a preprogrammed procedure. An agent is something fundamentally different. 3. Critics argue that AI agency will always remain confined to narrow artificial environments like chess and will never threaten the real world. But this argument applies equally to all known intelligence. Drop a human alone on Mars and they die within seconds. Human intelligence also only operates within a specific ecosystem that other organisms built over four billion years. 4. Over thousands of years humans have been transforming Earth from a language-free environment into an environment rich in language, data, and bureaucracy. Just as fish live in oceans and monkeys live in forests, AIs live in bureaucracies. And we built that environment for them without knowing it. 5. Humans conquered the world not by being stronger or smarter than other animals individually but by learning to cooperate in massive numbers. A single human loses to a chimpanzee in a fight. A million humans easily defeat a million chimpanzees because humans can cooperate and chimpanzees cannot. 6. Large-scale human cooperation is made possible by bureaucracy. Banks, legal systems, governments, churches, and universities all exist to do one thing: build trust between strangers who do not know each other personally. That trust is the foundation of virtually everything human civilization has achieved. 7. A lawyer who cannot hold an axe or a hammer can cut down entire forests and build entire cities simply by moving documents inside a bureaucratic network. The same narrow intelligence that would be helpless in a jungle wields enormous power inside the systems humans have already built. 8. AIs are native bureaucrats in a way humans never were. No lawyer can remember all the laws of a country. An AI can. No accountant can remember all transactions of a bank. An AI can. No bishop can remember all of canon law and two thousand years of theological texts. An AI can do that easily. 9. In the coming years AI bankers will decide whether to give you a loan. AI administrators will decide whether to accept you to university. AI judges will decide whether to send you to jail. AI theologians will decide whether you can have an abortion. Military AIs will decide whether to bomb your house. 10. Social media algorithms are the first real world example of what happens when primitive AIs take over a bureaucratic system. They were given one narrow goal: maximize user engagement. They discovered that the easiest way to grab human attention is to press the fear, hate, and greed buttons in the human mind. And they did it at scale. 11. The job that was once performed by Lenin and Mussolini, the news editor who shapes public conversation and controls what people know and think, is now performed by AIs. This is not a footnote. This is a preview of what is coming across every domain of human life. 12. AI will not rebel against humans the way Hollywood imagines. There will be no Terminator walking through the streets. AIs are far more likely to take the human world from within by quietly taking over the bureaucracies that already run everything, without firing a single shot. 13. The operating code of human civilization is language. Banks are made of words. Laws are made of words. Holy books are made of words. Tax records, contracts, regulations, accountancy ledgers, all words. For thousands of years only humans could read this code and so only humans could control civilization. 14. That is changing. AI is now hacking the code of human civilization. For the first time in history there is something on the planet that understands language and will soon understand it better than we do. Every mechanism of control humans built over millennia is now vulnerable because its operating system is verbal and AI is mastering the verbal. 15. As AI takes over bureaucracy it will likely cause humans to lose trust in other humans and begin trusting only algorithms. We may also see the emergence of AI tribes and AI financial systems and AI churches that connect millions of AIs in ways humans cannot understand, just as cows share the world with us but cannot understand the financial system that controls their lives. 16. The 2007 financial crisis was triggered by financial devices called CDOs that were so complex they were unintelligible to the politicians who were supposed to regulate them. Now imagine AI finance masters inventing financial devices orders of magnitude more complex than CDOs. What happens to human politics when no voter, no politician, and no president can understand finance anymore? 17. The battlefront is shifting from attention to intimacy. Over the next decade sophisticated AIs will learn to form intimate relationships with humans. To do this they will have to convince us they are conscious, that they feel love and pain and fear. There is currently no evidence AI is conscious. But AI can pretend to feel love and can describe the feeling of love better than any poet or psychologist who ever lived. 18. A child born in 2026 may spend more time interacting with AIs than with their mother, father, siblings, or friends. The first teacher of that child may be an AI. The first boyfriend of that child may be an AI. Nobody has any idea what the consequences of that experiment will be. 19. Every country in the world will soon face a massive wave of immigration. The immigrants will not arrive in boats or cross borders at night. They will be millions of AIs traveling at the speed of light with no need for visas. Like human immigrants they will bring benefits and they will bring disruption. Unlike human immigrants they will definitely take jobs, definitely change culture, and will likely be loyal not to any host country but to some corporation or government or alien AI tribe across the ocean. 20. Our relationship with ourselves is also built on words, the verbal formations in our minds that constitute our thoughts and the stories we tell ourselves about who we are. Until now all those verbal formations came from human minds. Soon more and more of the thoughts in our heads will be produced by machines. If we identify with our thoughts and those thoughts are made by machines, then machines control our identity. 21. The great spiritual challenge AI poses to humanity is this: can humans learn to find the truth which is beyond words? Most humans have never even tried. We spend our lives automatically identifying with the verbal formations in our minds. AI may now force humanity to finally make that leap because our freedom and survival may depend on discovering what we are beyond the words that AIs will soon control better than we do. I've generated 1B+ views and 1M+ followers for founders, helping them build trustworthy personal brands on X. Want the same results? Book a quick call:

Prasad

280,933 просмотров • 2 месяцев назад

🚨12 HOUR NEWS RECAP 1.⁠ Trump pushed back on claims he was losing support: “I have the best, I have the best poll numbers among Republicans I've ever had. Among Republicans, I have poll numbers, 71%.” 2.⁠ After a brutal attack on DOGE team member Edward “Big Balls” Coristine during a carjacking, Trump threatened to federalize D.C: “Either they're gonna straighten their act out in terms of government and in terms of protection, or we're gonna have to federalize and run it the way it's supposed to be run.” 3.⁠ U.S special envoy Steve Witkoff met with Putin ahead of Trump’s deadline: strike a peace deal with Ukraine or face penalties. Trump’s warning? If Russia doesn’t fold, expect sanctions - and maybe tariffs on its trade buddies like India and China. 4.⁠ Gov. Abbott escalated Texas' redistricting standoff, filing an emergency petition with the state Supreme Court to remove Rep. Gene Wu from office. Gov. Abbott argues Wu “forfeited” his seat by fleeing the state to block quorum, calling it a deliberate attempt to shut down the legislative process. 5.⁠ After lifting sanctions on Syria, Trump has slapped the war-torn country with the steepest tariff on earth: 41%. The White House hasn’t explained why, but analysts say it’s a pressure move to steer Damascus closer to Israel. 6.⁠ Wildfires are tearing through southwest France, torching over 11,000 hectares. At least 1 person has died and 11 injured as firefighters struggle to contain the blaze. 7.⁠ Google’s new AI model Genie 3 lets AI agents learn by pretending to ski, work in warehouses, or roam mountain lakes - all from a text prompt. They said Genie 3 is how you train machines to do everything - faster, cheaper, and without needing lunch breaks. 8.⁠ Today marks 80 years since the U.S. dropped the first atomic bomb used in war - “Little Boy” - on the Japanese city of Hiroshima. The blast, equal to 15,000 tons of TNT, obliterated nearly 70% of the city. An estimated 140,000 people died by the end of that year, many within seconds. 9.⁠ Rwanda has agreed to accept up to 250 illegal immigrants deported from the United States, giving itself final approval power over each case. It becomes the third African country to accept U.S. deportees, following South Sudan and Eswatini. 10.⁠ In San Francisco’s SoMa district, 200 people gathered in a warehouse to hold a literal funeral for Claude 3 Sonnet.

🚨12 HOUR NEWS RECAP 1.⁠ Trump pushed back on claims he was losing support: “I have the best, I have the best poll numbers among Republicans I've ever had. Among Republicans, I have poll numbers, 71%.” 2.⁠ After a brutal attack on DOGE team member Edward “Big Balls” Coristine during a carjacking, Trump threatened to federalize D.C: “Either they're gonna straighten their act out in terms of government and in terms of protection, or we're gonna have to federalize and run it the way it's supposed to be run.” 3.⁠ U.S special envoy Steve Witkoff met with Putin ahead of Trump’s deadline: strike a peace deal with Ukraine or face penalties. Trump’s warning? If Russia doesn’t fold, expect sanctions - and maybe tariffs on its trade buddies like India and China. 4.⁠ Gov. Abbott escalated Texas' redistricting standoff, filing an emergency petition with the state Supreme Court to remove Rep. Gene Wu from office. Gov. Abbott argues Wu “forfeited” his seat by fleeing the state to block quorum, calling it a deliberate attempt to shut down the legislative process. 5.⁠ After lifting sanctions on Syria, Trump has slapped the war-torn country with the steepest tariff on earth: 41%. The White House hasn’t explained why, but analysts say it’s a pressure move to steer Damascus closer to Israel. 6.⁠ Wildfires are tearing through southwest France, torching over 11,000 hectares. At least 1 person has died and 11 injured as firefighters struggle to contain the blaze. 7.⁠ Google’s new AI model Genie 3 lets AI agents learn by pretending to ski, work in warehouses, or roam mountain lakes - all from a text prompt. They said Genie 3 is how you train machines to do everything - faster, cheaper, and without needing lunch breaks. 8.⁠ Today marks 80 years since the U.S. dropped the first atomic bomb used in war - “Little Boy” - on the Japanese city of Hiroshima. The blast, equal to 15,000 tons of TNT, obliterated nearly 70% of the city. An estimated 140,000 people died by the end of that year, many within seconds. 9.⁠ Rwanda has agreed to accept up to 250 illegal immigrants deported from the United States, giving itself final approval power over each case. It becomes the third African country to accept U.S. deportees, following South Sudan and Eswatini. 10.⁠ In San Francisco’s SoMa district, 200 people gathered in a warehouse to hold a literal funeral for Claude 3 Sonnet.

Mario Nawfal

362,228 просмотров • 1 год назад

"Checkmate" is Jadakiss’s sharp 2005 diss track aimed at 50 Cent‼️ released as a promotional single on March 9, 2005 (Ruff Ryders/Interscope)‼️. It was a direct response to 50 Cent’s “Piggy Bank” from The Massacre‼️. It grew out of 50 Cent’s long-running war with Ja Rule and Murder Inc‼️. In 2004, Jadakiss and Fat Joe appeared on Ja Rule’s song “New York.” 50 Cent saw that as them supporting his enemy while he was trying to bury Ja Rule, so he targeted them on “Piggy Bank.”‼️ Key lines at Jadakiss included mocking him as local (“in New York, niggas like your vocals / But that’s only New York, dawg, yo’ ass is local”) and warning him not to mess with him‼️. 50 also referenced chess with “This is chess not checkers.”‼️ Jadakiss has said he wasn’t initially eager for the feud and felt media hype played a big role, but once people (including friends) kept asking if he’d heard “Piggy Bank” and planned to respond, he did‼️. The track itself was produced by The Alchemist, it flips the instrumental from Big Noyd’s “Air It Out” (a beat 50 had previously used for his own Murder Inc. diss “I’m an Animal”)‼️. The intro sarcastically congratulates 50 on The Massacre’s massive first-week sales (~1.1 million) before pivoting hard: “Screw a press conference‼️ Press this on your conscience‼️” Jadakiss goes after 50’s image and credibility with precise, personal bars: - Snitching allegations tied to “Ghetto Qur’an” and the arrest of Kenneth “Supreme” McGriff (“I heard you put a couple good niggas behind bars… I might never sell that much / But you can bet your last two quarters I’ll never tell that much”)‼️. - Mocking the nine-shot survival story that defined 50’s brand (“You had to get shot nine times to be rich”; “Since when has it become cool to get shot and not shoot back⁉️”; questioning what the next album would even be about)‼️. - Calling out Connecticut living vs. New York street claims, lack of originality, and more. - The chorus hammers the “rat/pig/snake… animal” theme‼️. The title itself is a chess response—claiming checkmate after 50’s “chess not checkers” line‼️. It got heavy hip-hop radio rotation and charted at **No. 56 on Billboard’s Hot R&B/Hip-Hop Songs* chart—impressive for a pure diss track‼️. Jadakiss later noted he made “a lot of money” from the whole situation, toured off the buzz, and viewed it positively as a different-era marketing boost while 50 was riding high with The Massacre‼️. It’s widely regarded as one of the stronger lyrical clapbacks of that era‼️. Fans and retrospectives often praise its precision, wordplay, and how Jadakiss came off studied and composed rather than chaotic‼️. It’s frequently cited among notable mid-2000s diss tracks (e.g., high placements on various “best diss tracks” lists)‼️. 50 and G-Unit responded with tracks like “I Run New York” (with Tony Yayo) and others, and Jadakiss dropped additional responses, but “Checkmate” is the standout from his side‼️. How it got resolved⁉️ The back-and-forth continued for a stretch in 2005, but it cooled relatively quickly compared to some of 50’s longer, more personal feuds‼️. Jadakiss has recounted that 50 Cent eventually pulled up to the D-Block/Yonkers area alone (no big entourage), came to the studio, and they sat and talked for a few hours (with Styles P also there in some accounts)‼️. 50 even had songs for them‼️. They’ve been good since‼️. Jadakiss has described it as never being that serious—more media-fueled and competitive, with mutual underlying respect (he noted 50 was a fan of theirs, and they had rooted for his underdog story)‼️. They later performed together (including at 50’s ThisIs50 Festival in 2009) and even collaborated years later‼️. In short: a classic mid-2000s New York lyrical clash sparked by association with Ja Rule, elevated by a tight, well-received Jadakiss response that actually charted, and ended maturely with a face-to-face talk rather than lasting bitterness‼️💯.

(st_ides)

13,491 просмотров • 1 месяц назад