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Model - Elena Koshka Title - Young Elena Has A Perfect Memory Site - Quality - 1080p (Web Only) #ElenaKoshka #Ukrainian #Bang #NSFW #Babe

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Destroyed Heaven

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164,383 次观看 • 1 个月前 •via X (Twitter)

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Yuva Shakti Is Reviving Traditions! Devavrat Rekhe, a 19-year-old from Maharashtra, recited 25 lakh verses of the Shukla Yajurveda in Dandak Kram entirely from memory over 50 days, a feat that has been accomplished only three times in history. Recognising his dedication and perfect recitation, Kashi’s Brahmins will award him the prestigious title ‘Dandakram Vikramaditya’. #CultureLegacy #NewIndia #DandakramVikramaditya
1:07

Yuva Shakti Is Reviving Traditions! Devavrat Rekhe, a 19-year-old from Maharashtra, recited 25 lakh verses of the Shukla Yajurveda in Dandak Kram entirely from memory over 50 days, a feat that has been accomplished only three times in history. Recognising his dedication and perfect recitation, Kashi’s Brahmins will award him the prestigious title ‘Dandakram Vikramaditya’. #CultureLegacy #NewIndia #DandakramVikramaditya

MyGovIndia

24,700 次观看 • 7 个月前

I’m thrilled to present something Marián Marčiš and I have been working on for the past few weeks. To my knowledge, this is something that has never been done before, and this is our first model that includes underground parts. Behold a photogrammetric 3D model of Zona X! Zona X (also known as Lanlakuyoc or Lancacuyo) is a mysterious site about a mile North-East of Sacsayhuaman. It’s a big limestone outcrop intersected by a network of tunnels and narrow passageways, some open to the sky, and others going deep underground. It also features several right-angled cuts in the bedrock ("hanan pacha" style) whose function remains unknown to this day, as well as a section of a megalithic wall. It is also said that this site once had a chincana entrance, possibly connecting to Sacsayhuaman, that has now been sealed off. I have an idea of which passage could lead to an entrance, but it remains to be confirmed. It's a true stone labyrinth in which it's easy to get lost, which is why I wanted to create a 3D map of it. I wanted to get a better idea of how these passages are oriented in relation to each other and where they could lead. It took several visits to the site to map all the passages I could crawl through. Some of these passageways become too narrow to squeeze through for an adult of average build, but seem to extend much deeper. It took Marián a LOT of work (and a lot of processing power) to combine and align the thousands of photos from a drone and extracted from a 360° ground video needed to create the 55 millions triangles that make up this model. I’m not sure how he did it but he pulled it off. He really deserves his title of photogrammetry wizard. Please make sure to give him the follow he deserves Marián Marčiš. The video doesn't show all the passages I filmed for the creation of the model. We decided to only show the main ones, and some of the most prominent stone carvings in order to keep the video relatively short. The site has many more nooks and crannies not shown in the video that are just begging to be explored. I hope we can complete this model in the future. Until then, enjoy this one!
4:26

I’m thrilled to present something Marián Marčiš and I have been working on for the past few weeks. To my knowledge, this is something that has never been done before, and this is our first model that includes underground parts. Behold a photogrammetric 3D model of Zona X! Zona X (also known as Lanlakuyoc or Lancacuyo) is a mysterious site about a mile North-East of Sacsayhuaman. It’s a big limestone outcrop intersected by a network of tunnels and narrow passageways, some open to the sky, and others going deep underground. It also features several right-angled cuts in the bedrock ("hanan pacha" style) whose function remains unknown to this day, as well as a section of a megalithic wall. It is also said that this site once had a chincana entrance, possibly connecting to Sacsayhuaman, that has now been sealed off. I have an idea of which passage could lead to an entrance, but it remains to be confirmed. It's a true stone labyrinth in which it's easy to get lost, which is why I wanted to create a 3D map of it. I wanted to get a better idea of how these passages are oriented in relation to each other and where they could lead. It took several visits to the site to map all the passages I could crawl through. Some of these passageways become too narrow to squeeze through for an adult of average build, but seem to extend much deeper. It took Marián a LOT of work (and a lot of processing power) to combine and align the thousands of photos from a drone and extracted from a 360° ground video needed to create the 55 millions triangles that make up this model. I’m not sure how he did it but he pulled it off. He really deserves his title of photogrammetry wizard. Please make sure to give him the follow he deserves Marián Marčiš. The video doesn't show all the passages I filmed for the creation of the model. We decided to only show the main ones, and some of the most prominent stone carvings in order to keep the video relatively short. The site has many more nooks and crannies not shown in the video that are just begging to be explored. I hope we can complete this model in the future. Until then, enjoy this one!

Weird Old World

12,059 次观看 • 1 年前

Andrej Karpathy just made one of the most interesting arguments about AI model design that most people are completely missing. His take is that frontier AI models are not too big because the technology is complex and too big because the training data is garbage. When you or I think of the internet, we picture Wall Street Journal articles, Wikipedia entries, serious writing. That is not what a pretraining dataset looks like. When researchers at frontier labs look at random documents from the actual training corpus, it is stock ticker symbols, broken HTML, spam, gibberish. One estimate puts Llama 3's information compression at just 0.07 bits per token meaning the model has only a hazy recollection of most of what it trained on. So we build trillion parameter models not because we need a trillion parameter brain but because we need a trillion-parameter compression engine to squeeze some intelligence out of a firehose of noise. Most of those parameters are doing memory work, not cognitive work. Karpathy's prediction is separate the two entirely. Build a cognitive core, a model that contains only the algorithms for reasoning and problem-solving, stripped of encyclopedic memorization and pair it with external memory that it can query when it needs facts. He thinks a cognitive core trained on high-quality data could hit genuine intelligence at around one billion parameters. For reference, today's flagship models run between 200 billion and 1.8 trillion parameters with most of that weight dedicated to remembering the internet's slop. The trend is already moving his direction. GPT-4o operates at roughly 200 billion parameters and outperforms the original 1.8 trillion-parameter GPT-4. Inference costs for GPT-3.5-level performance dropped 280-fold between 2022 and 2024 driven almost entirely by smaller, cleaner, better-architected models. The real bottleneck in AI right now is not compute but rather data quality.
2:00

Andrej Karpathy just made one of the most interesting arguments about AI model design that most people are completely missing. His take is that frontier AI models are not too big because the technology is complex and too big because the training data is garbage. When you or I think of the internet, we picture Wall Street Journal articles, Wikipedia entries, serious writing. That is not what a pretraining dataset looks like. When researchers at frontier labs look at random documents from the actual training corpus, it is stock ticker symbols, broken HTML, spam, gibberish. One estimate puts Llama 3's information compression at just 0.07 bits per token meaning the model has only a hazy recollection of most of what it trained on. So we build trillion parameter models not because we need a trillion parameter brain but because we need a trillion-parameter compression engine to squeeze some intelligence out of a firehose of noise. Most of those parameters are doing memory work, not cognitive work. Karpathy's prediction is separate the two entirely. Build a cognitive core, a model that contains only the algorithms for reasoning and problem-solving, stripped of encyclopedic memorization and pair it with external memory that it can query when it needs facts. He thinks a cognitive core trained on high-quality data could hit genuine intelligence at around one billion parameters. For reference, today's flagship models run between 200 billion and 1.8 trillion parameters with most of that weight dedicated to remembering the internet's slop. The trend is already moving his direction. GPT-4o operates at roughly 200 billion parameters and outperforms the original 1.8 trillion-parameter GPT-4. Inference costs for GPT-3.5-level performance dropped 280-fold between 2022 and 2024 driven almost entirely by smaller, cleaner, better-architected models. The real bottleneck in AI right now is not compute but rather data quality.

Milk Road AI

200,327 次观看 • 3 个月前

This week, I testified before the Select Committee on Effective Postsecondary Career Technical Education (CTE) and Workforce Development Programs and why it matters for young people furthest from opportunity. For the last several years, Alliance for Boys and Men of Color has been helping lead the fight to build real, paid pathways into good careers for opportunity youth. Alongside Youth Will and California Opportunity Youth Network, we worked with Senator María Elena Durazo to establish the California Opportunity Youth Apprenticeship (COYA) Grant Program — because too many young people were locked out of the apprenticeship system, even as California faces major workforce shortages. COYA is about more than training. It’s about building relationships between community-based organizations, labor, education, and employers so young people who’ve been disconnected from school or work can earn while they learn and move into high-paying, stable careers. Over the last two years, California has made a historic investment in opportunity youth through the California Opportunity Youth Apprenticeship (COYA) that we established. Across two rounds, COYA has awarded more than $46 million to 80 programs to build and expand registered pre-apprenticeship and apprenticeship pathways. These investments are supporting thousands of young people who face barriers to employment—connecting them to paid, high-quality career pathways in high-demand industries through partnerships with community-based organizations, labor, education, and employers. Proud of the role ABMoC continues to play in shaping youth apprenticeship policy in California — and committed to keeping the focus on real pathways, real wages, and real opportunity. Thank you Assemblymember Mike Fong for the invite and we’re looking forward to collaborating this year on AB 805.
1:14

This week, I testified before the Select Committee on Effective Postsecondary Career Technical Education (CTE) and Workforce Development Programs and why it matters for young people furthest from opportunity. For the last several years, Alliance for Boys and Men of Color has been helping lead the fight to build real, paid pathways into good careers for opportunity youth. Alongside Youth Will and California Opportunity Youth Network, we worked with Senator María Elena Durazo to establish the California Opportunity Youth Apprenticeship (COYA) Grant Program — because too many young people were locked out of the apprenticeship system, even as California faces major workforce shortages. COYA is about more than training. It’s about building relationships between community-based organizations, labor, education, and employers so young people who’ve been disconnected from school or work can earn while they learn and move into high-paying, stable careers. Over the last two years, California has made a historic investment in opportunity youth through the California Opportunity Youth Apprenticeship (COYA) that we established. Across two rounds, COYA has awarded more than $46 million to 80 programs to build and expand registered pre-apprenticeship and apprenticeship pathways. These investments are supporting thousands of young people who face barriers to employment—connecting them to paid, high-quality career pathways in high-demand industries through partnerships with community-based organizations, labor, education, and employers. Proud of the role ABMoC continues to play in shaping youth apprenticeship policy in California — and committed to keeping the focus on real pathways, real wages, and real opportunity. Thank you Assemblymember Mike Fong for the invite and we’re looking forward to collaborating this year on AB 805.

E

11,207 次观看 • 7 个月前

Diddy Dever has A Memory That Fades When It Matters Most? Let’s talk about Officer Dever, young, sworn in to protect and serve, yet already tangled in a web of contradictions, deflections, and... convenient memory lapses? Dever worked the overnight patrol the night John O’Keefe died. She was one of three of the four overnight patrol officers. 3 of those officers were parked behind the station all night. Two officers responded to Fairview Road. Saraff and Mullaney. Sergeant Goode brought Dever inside to cover dispatch, giving her eyes on the cameras. While he also responded to 34 Fairview. When asked about the station monitors specifically whether she saw anything on the Sally Port camera feeds, her answers were: “It would make sense there were cameras.” Then: “According to the media… yes.” (Only to have that stricken by the judge.) Finally, under pressure: “Yes.” She admitted to telling federal investigators back in August 2023 that she saw Brian Higgins and Chief Berkowitz enter the Sally Port for a “wildly long time.” Then, surprise, she says that was a false memory, and that she only realized that after talking to the legal team. Let me repeat that A young officer speaks to the feds voluntarily, then has her recollection ‘corrected’ after speaking with legal counsel? And this wasn’t just any legal talk, it involved the Commissioner of Boston PD and general counsel. When asked about who was present during these conversations, her timeline slipsSo ask yourself this, How does a rookie officer, fresh on the job, go from confidently telling federal investigators about something suspicious, to suddenly claiming she “can’t remember,” “misspoke,” or “had a distorted memory”? Is she being coached? Intimidated? Controlled? Is this what the thin blue line looks like up close? A line you dare not cross, or your career goes up in smoke? Because if telling the truth gets corrected by legal counsel, then what we’re dealing with isn’t a memory issue, it’s a cultural issue inside law enforcement, And it’s dangerous. If we can’t trust the testimony of a young, supposedly impartial officer, then who can we trust? And why would anyone go into that Sally Port for a “wildly long time” in the middle of the night… unless something wildly wrong was going on? The truth doesn’t need legal reconditioning. It needs courage. And it looks like Officer Diddy Dever started with some but was taught quickly that loyalty to the blue wall trumps loyalty to the truth,Just like her loyalty to another cpd officer! We see it. We won’t forget it. And we damn sure won’t let it slide!
5:50

Diddy Dever has A Memory That Fades When It Matters Most? Let’s talk about Officer Dever, young, sworn in to protect and serve, yet already tangled in a web of contradictions, deflections, and... convenient memory lapses? Dever worked the overnight patrol the night John O’Keefe died. She was one of three of the four overnight patrol officers. 3 of those officers were parked behind the station all night. Two officers responded to Fairview Road. Saraff and Mullaney. Sergeant Goode brought Dever inside to cover dispatch, giving her eyes on the cameras. While he also responded to 34 Fairview. When asked about the station monitors specifically whether she saw anything on the Sally Port camera feeds, her answers were: “It would make sense there were cameras.” Then: “According to the media… yes.” (Only to have that stricken by the judge.) Finally, under pressure: “Yes.” She admitted to telling federal investigators back in August 2023 that she saw Brian Higgins and Chief Berkowitz enter the Sally Port for a “wildly long time.” Then, surprise, she says that was a false memory, and that she only realized that after talking to the legal team. Let me repeat that A young officer speaks to the feds voluntarily, then has her recollection ‘corrected’ after speaking with legal counsel? And this wasn’t just any legal talk, it involved the Commissioner of Boston PD and general counsel. When asked about who was present during these conversations, her timeline slipsSo ask yourself this, How does a rookie officer, fresh on the job, go from confidently telling federal investigators about something suspicious, to suddenly claiming she “can’t remember,” “misspoke,” or “had a distorted memory”? Is she being coached? Intimidated? Controlled? Is this what the thin blue line looks like up close? A line you dare not cross, or your career goes up in smoke? Because if telling the truth gets corrected by legal counsel, then what we’re dealing with isn’t a memory issue, it’s a cultural issue inside law enforcement, And it’s dangerous. If we can’t trust the testimony of a young, supposedly impartial officer, then who can we trust? And why would anyone go into that Sally Port for a “wildly long time” in the middle of the night… unless something wildly wrong was going on? The truth doesn’t need legal reconditioning. It needs courage. And it looks like Officer Diddy Dever started with some but was taught quickly that loyalty to the blue wall trumps loyalty to the truth,Just like her loyalty to another cpd officer! We see it. We won’t forget it. And we damn sure won’t let it slide!

Dixie Normus

37,617 次观看 • 1 年前

My Latest AI short was made with Seedance 2.0 the model that has been firing up the internet over the past couple of days. I made this in two and half days and it's an original short that is based on HP Lovecraft's work which is now Public Domain (No Copyright infringement here!). If you are not into period romances then bare with it as it gets a more little action packed in the second half! The model is brilliant at both performance and action, you can now make convincing dialogue and action sequences for AI cinema. With this model we have now reached the stage where we can tell any story we want with AI, the tools are capable. This is only 720p at the moment but I suspect it will be upgraded to 1080p very soon. We stand at the threshold of having broadcast quality tools capable of creating anything we can imagine available to everyone, so lets do new an interesting things with it. Thank you to CapCut for whitelisting me and to Dreamina AI AI for giving me access as part of their CPP. Thanks for watching! 👀
3:29

My Latest AI short was made with Seedance 2.0 the model that has been firing up the internet over the past couple of days. I made this in two and half days and it's an original short that is based on HP Lovecraft's work which is now Public Domain (No Copyright infringement here!). If you are not into period romances then bare with it as it gets a more little action packed in the second half! The model is brilliant at both performance and action, you can now make convincing dialogue and action sequences for AI cinema. With this model we have now reached the stage where we can tell any story we want with AI, the tools are capable. This is only 720p at the moment but I suspect it will be upgraded to 1080p very soon. We stand at the threshold of having broadcast quality tools capable of creating anything we can imagine available to everyone, so lets do new an interesting things with it. Thank you to CapCut for whitelisting me and to Dreamina AI AI for giving me access as part of their CPP. Thanks for watching! 👀

Uncanny Harry AI

76,824 次观看 • 5 个月前

🕯️ Volhynia: The Asymmetry of Memory Volhynia (Ukraine), a cemetery of the Polish Home Army (Armia Krajowa), which killed about 20,000 civilians in Volhynia. This is not their only crime against the Ukrainian people; however, despite this, Ukrainians maintain the cemetery and do not protest against the army's symbols. In Poland, on the other hand, the graves of Ukrainians who defended Ukraine from Polish occupation are constantly desecrated, and there is opposition to UPA symbols... I do not understand why it is impossible to live peacefully and leave history to historians, and not allow politicians to speculate on historical topics, especially Russia and its puppets? The French philosopher Ernest Renan once famously remarked that "getting history wrong is part of being a nation." He meant that nations are often built on myths that conveniently forget certain painful truths. When Poland demands recognition for the Volhynia tragedy while actively erasing the memory of Ukrainian resistance fighters, it is an attempt to define the "moral geography" of the region in a way that serves current nationalist narratives rather than historical truth. By stoking historical resentment, Russia prevents a unified regional front. As the historian Timothy Snyder has often argued, the "bloodlands" between Germany and Russia—which include Ukraine and Poland—are constantly being weaponized by external powers to keep these nations divided. True reconciliation, as seen in the post-WWII Franco-German model, requires a "mutual surrender" of the narrative. It requires both sides to acknowledge their own atrocities. The current Polish-Ukrainian dynamic is lopsided: one side offers respect as a path toward peace, while the other uses historical revisionism as a tool for domestic political legitimacy. As Immanuel Kant suggested in Perpetual Peace, lasting stability cannot be built on the selective application of justice; it requires a categorical imperative—treating the memory of the "other" with the same dignity one demands for one's own. The tragedy here is that by fighting over the ghosts of the past, both nations risk failing the living, who need unity more than ever. To leave history to historians is the ideal, but in a world of populism, history is a currency, and politicians are rarely willing to stop spending it.
1:01

🕯️ Volhynia: The Asymmetry of Memory Volhynia (Ukraine), a cemetery of the Polish Home Army (Armia Krajowa), which killed about 20,000 civilians in Volhynia. This is not their only crime against the Ukrainian people; however, despite this, Ukrainians maintain the cemetery and do not protest against the army's symbols. In Poland, on the other hand, the graves of Ukrainians who defended Ukraine from Polish occupation are constantly desecrated, and there is opposition to UPA symbols... I do not understand why it is impossible to live peacefully and leave history to historians, and not allow politicians to speculate on historical topics, especially Russia and its puppets? The French philosopher Ernest Renan once famously remarked that "getting history wrong is part of being a nation." He meant that nations are often built on myths that conveniently forget certain painful truths. When Poland demands recognition for the Volhynia tragedy while actively erasing the memory of Ukrainian resistance fighters, it is an attempt to define the "moral geography" of the region in a way that serves current nationalist narratives rather than historical truth. By stoking historical resentment, Russia prevents a unified regional front. As the historian Timothy Snyder has often argued, the "bloodlands" between Germany and Russia—which include Ukraine and Poland—are constantly being weaponized by external powers to keep these nations divided. True reconciliation, as seen in the post-WWII Franco-German model, requires a "mutual surrender" of the narrative. It requires both sides to acknowledge their own atrocities. The current Polish-Ukrainian dynamic is lopsided: one side offers respect as a path toward peace, while the other uses historical revisionism as a tool for domestic political legitimacy. As Immanuel Kant suggested in Perpetual Peace, lasting stability cannot be built on the selective application of justice; it requires a categorical imperative—treating the memory of the "other" with the same dignity one demands for one's own. The tragedy here is that by fighting over the ghosts of the past, both nations risk failing the living, who need unity more than ever. To leave history to historians is the ideal, but in a world of populism, history is a currency, and politicians are rarely willing to stop spending it.

Devana 🇺🇦

44,048 次观看 • 1 个月前

Time changes. People change. Even Lingling Kwong has changed 55555555 Remember when Ling used to say "Orm is still young. She still has plenty of chances to meet other people, not just Ling" but every time Orm was surrounded by other people, Ling's reactions were absolutely priceless. Whenever she got jealous, all she could do was scratch her nose, look away, and quietly swallow her feelings. It made perfect sense. Back then, she had no title, no official place by Orm's side, and no right to openly be jealous. So she could only stand there, silently watching Orm tease her and enjoy every second of it. But time changes. People change. Now she has a place in Orm's life, and that's exactly why she can be as openly jealous as she wants. I don't know who loves more in this relationship, Ling or Orm. But one thing I'm certain of is this: when it comes to jealousy, Ling is the one who shows it the most. She never really knows how to hide it 555555 #หลิงออม #LingOrm
0:28

Time changes. People change. Even Lingling Kwong has changed 55555555 Remember when Ling used to say "Orm is still young. She still has plenty of chances to meet other people, not just Ling" but every time Orm was surrounded by other people, Ling's reactions were absolutely priceless. Whenever she got jealous, all she could do was scratch her nose, look away, and quietly swallow her feelings. It made perfect sense. Back then, she had no title, no official place by Orm's side, and no right to openly be jealous. So she could only stand there, silently watching Orm tease her and enjoy every second of it. But time changes. People change. Now she has a place in Orm's life, and that's exactly why she can be as openly jealous as she wants. I don't know who loves more in this relationship, Ling or Orm. But one thing I'm certain of is this: when it comes to jealousy, Ling is the one who shows it the most. She never really knows how to hide it 555555 #หลิงออม #LingOrm

hanชน์พชรฐากูร 💫🐕🪽🍳🍮🌶

29,019 次观看 • 11 天前

Elon Musk just described a project so large that most people will assume he is exaggerating (Save this). He is not. In the video, Musk lays out the central problem facing every AI company on earth, the entire global chip industry is on a path to produce roughly 100 gigawatts of AI compute per year. That sounds like a lot until you understand that his companies alone Tesla, SpaceX, and xAI will need orders of magnitude more than that. His answer is the TerraFab. It is a joint chip factory spanning 100 million square feet, ten times the size of Tesla's Gigafactory Texas announced in March 2026, with Grimes County, Texas commissioners approving the full scale facility site just last week. The goal is one full terawatt of AI compute output per year. For context, 1 terawatt is 1,000 gigawatts twice the current total electricity consumption of the United States. SpaceX has already committed an initial $55 billion to the prototype phase, with total investment estimates ranging into the trillions. Here is why this matters for Micron specifically. In the video, Musk named Nvidia's Rubin chips as the reference design for TerraFab's first orbital deployments, and said "You're going to need a lot of memory to go with that." A billion full radical equivalent chips per year, each requiring stacks of high bandwidth memory, that is the demand signal Micron just received from one of the most capital-intensive projects in human history. And Micron already cannot keep up with what exists today. Micron's entire 2026 HBM output is fully sold out contracted before the year began. HBM4 entered volume production ahead of schedule and sold out immediately. The structural reason Micron wins here is simple. Every AI chip ever built Nvidia H100s, Rubin chips, custom ASICs, TPUs is useless without high-bandwidth memory stacked directly on top of it. There are only three companies in the world that supply HBM at scale, Samsung, SK Hynix, and Micron. Samsung has had quality issues, SK Hynix is supply constrained. Micron is the only US headquartered HBM manufacturer which matters enormously given CHIPS Act subsidies, domestic procurement requirements, and the political push to keep critical AI memory production on American soil. TerraFab just made the memory deficit permanently larger. Come join Milk Road Pro for our full breakdown of Micron and our entire AI thesis just for $1. Link below!
3:30

Elon Musk just described a project so large that most people will assume he is exaggerating (Save this). He is not. In the video, Musk lays out the central problem facing every AI company on earth, the entire global chip industry is on a path to produce roughly 100 gigawatts of AI compute per year. That sounds like a lot until you understand that his companies alone Tesla, SpaceX, and xAI will need orders of magnitude more than that. His answer is the TerraFab. It is a joint chip factory spanning 100 million square feet, ten times the size of Tesla's Gigafactory Texas announced in March 2026, with Grimes County, Texas commissioners approving the full scale facility site just last week. The goal is one full terawatt of AI compute output per year. For context, 1 terawatt is 1,000 gigawatts twice the current total electricity consumption of the United States. SpaceX has already committed an initial $55 billion to the prototype phase, with total investment estimates ranging into the trillions. Here is why this matters for Micron specifically. In the video, Musk named Nvidia's Rubin chips as the reference design for TerraFab's first orbital deployments, and said "You're going to need a lot of memory to go with that." A billion full radical equivalent chips per year, each requiring stacks of high bandwidth memory, that is the demand signal Micron just received from one of the most capital-intensive projects in human history. And Micron already cannot keep up with what exists today. Micron's entire 2026 HBM output is fully sold out contracted before the year began. HBM4 entered volume production ahead of schedule and sold out immediately. The structural reason Micron wins here is simple. Every AI chip ever built Nvidia H100s, Rubin chips, custom ASICs, TPUs is useless without high-bandwidth memory stacked directly on top of it. There are only three companies in the world that supply HBM at scale, Samsung, SK Hynix, and Micron. Samsung has had quality issues, SK Hynix is supply constrained. Micron is the only US headquartered HBM manufacturer which matters enormously given CHIPS Act subsidies, domestic procurement requirements, and the political push to keep critical AI memory production on American soil. TerraFab just made the memory deficit permanently larger. Come join Milk Road Pro for our full breakdown of Micron and our entire AI thesis just for $1. Link below!

Milk Road AI

245,900 次观看 • 1 个月前

'Starobelsk. No Child Should Die'. The murder of 21 Students by NATO! On the night of May 22, 2026, students at a college in Starobelsk, LPR, shouted: ‘Why are they doing this to us? We’re just kids!’ This film chronicles a drone attack during which the Ukrainian Armed Forces killed sleeping students in cold blood. Twenty-one people died and several dozen were injured. These young people had dreamed of becoming teachers and working in schools. Some were even already planning their weddings. But their dreams were buried beneath the rubble. The film crew visited what remained of the dormitory building, along with the students and teachers who survived. Their aim was to piece together every detail of those horrific events. Among them was Elena Yuryeva, a teacher who saved more than 30 injured students by leading them out of the dorm. The drone raid launched by the Kiev regime in Starobelsk claimed the lives of innocent teens. Their deaths are a tragedy for their parents, as well as the teachers who had to identify their students’ bodies. The survivors are left with harrowing memories. The terrorist attack has inflicted immense pain on the city and all of Russia. Watch the new film by Olga Kiriy, Ilya Andilevko, and Alexey Balakirev 'Starobelsk. No Child Should Die'.
35:05

'Starobelsk. No Child Should Die'. The murder of 21 Students by NATO! On the night of May 22, 2026, students at a college in Starobelsk, LPR, shouted: ‘Why are they doing this to us? We’re just kids!’ This film chronicles a drone attack during which the Ukrainian Armed Forces killed sleeping students in cold blood. Twenty-one people died and several dozen were injured. These young people had dreamed of becoming teachers and working in schools. Some were even already planning their weddings. But their dreams were buried beneath the rubble. The film crew visited what remained of the dormitory building, along with the students and teachers who survived. Their aim was to piece together every detail of those horrific events. Among them was Elena Yuryeva, a teacher who saved more than 30 injured students by leading them out of the dorm. The drone raid launched by the Kiev regime in Starobelsk claimed the lives of innocent teens. Their deaths are a tragedy for their parents, as well as the teachers who had to identify their students’ bodies. The survivors are left with harrowing memories. The terrorist attack has inflicted immense pain on the city and all of Russia. Watch the new film by Olga Kiriy, Ilya Andilevko, and Alexey Balakirev 'Starobelsk. No Child Should Die'.

𝐃𝐚𝐯𝐢𝐝 𝐙 🇷🇺🇮🇪

15,953 次观看 • 1 个月前

how to use firecrawl to give your AI eyes and actually build startups that outperform 99% of apps: 1. your AI is smart but blind. it can't go to a website, read a page, or grab data on its own. firecrawl fixes that. you put in a URL. you get back clean markdown, structured JSON, screenshots. feed it to any model. 2. three lines of code. that's it. no proxies. no anti-bot detection. no custom scrapers that break when a site changes. one API call. clean data back in seconds. works on 98%+ of sites. 3. firecrawl has six core capabilities: scrape a single page. crawl an entire site. map all URLs on a domain. search google and return full content. an agent endpoint where you describe what you want and it goes and finds it. and a browser sandbox where AI controls a real browser like filling forms, clicking buttons, handles logins. 4. the agent endpoint is wild. you can say "find all of YC's winter 24 dev tool companies and their founders and emails" and get back structured data. or "compare pricing tiers across stripe, square, and paypal" and get a side-by-side table. 5. the browser sandbox lets your AI stay logged in across sessions, navigate pagination, watch live as it browses. this is computer use without building the infrastructure yourself. 6. think of it in layers. every builder needs: an agent harness (claude code, cursor, codex), a search layer (perplexity, exa), a web data layer (firecrawl), an ops brain (obsidian, notion), and an outbound stack. the web data layer is the one most people are sleeping on. 7. this is the AWS moment for web data. in 2006 building a web app meant buying servers and managing racks. AWS said one API call, use our servers. some of the biggest companies of the last decade were built on that. firecrawl is doing the same thing for web data in 2026. 8. the framework i'd use for coming up with startup ideas building with clean data: take a massive horizontal platform. rebuild it for one niche using firecrawl. the vertical version always wins because people want specific, not generic. price for outcome. 9. a year ago firecrawl posted a job listing that said "please only apply if you're an AI agent." content creator agents. customer support agents. junior dev agents. it looked weird. it was a signal for where this is all going. the people who understand how to get clean web data, wrap it around an LLM, and package it as a product are the the ones with a 12-month head start. i use Firecrawl with Idea Browser . once you see what's possible with structured web data, you can't unsee it. episode is live on The Startup Ideas Podcast (SIP) 🧃 (full breakdown there) i tried to explain this as clear as possible for even the non technical. send it to a builder friend. watch
27:27

how to use firecrawl to give your AI eyes and actually build startups that outperform 99% of apps: 1. your AI is smart but blind. it can't go to a website, read a page, or grab data on its own. firecrawl fixes that. you put in a URL. you get back clean markdown, structured JSON, screenshots. feed it to any model. 2. three lines of code. that's it. no proxies. no anti-bot detection. no custom scrapers that break when a site changes. one API call. clean data back in seconds. works on 98%+ of sites. 3. firecrawl has six core capabilities: scrape a single page. crawl an entire site. map all URLs on a domain. search google and return full content. an agent endpoint where you describe what you want and it goes and finds it. and a browser sandbox where AI controls a real browser like filling forms, clicking buttons, handles logins. 4. the agent endpoint is wild. you can say "find all of YC's winter 24 dev tool companies and their founders and emails" and get back structured data. or "compare pricing tiers across stripe, square, and paypal" and get a side-by-side table. 5. the browser sandbox lets your AI stay logged in across sessions, navigate pagination, watch live as it browses. this is computer use without building the infrastructure yourself. 6. think of it in layers. every builder needs: an agent harness (claude code, cursor, codex), a search layer (perplexity, exa), a web data layer (firecrawl), an ops brain (obsidian, notion), and an outbound stack. the web data layer is the one most people are sleeping on. 7. this is the AWS moment for web data. in 2006 building a web app meant buying servers and managing racks. AWS said one API call, use our servers. some of the biggest companies of the last decade were built on that. firecrawl is doing the same thing for web data in 2026. 8. the framework i'd use for coming up with startup ideas building with clean data: take a massive horizontal platform. rebuild it for one niche using firecrawl. the vertical version always wins because people want specific, not generic. price for outcome. 9. a year ago firecrawl posted a job listing that said "please only apply if you're an AI agent." content creator agents. customer support agents. junior dev agents. it looked weird. it was a signal for where this is all going. the people who understand how to get clean web data, wrap it around an LLM, and package it as a product are the the ones with a 12-month head start. i use Firecrawl with Idea Browser . once you see what's possible with structured web data, you can't unsee it. episode is live on The Startup Ideas Podcast (SIP) 🧃 (full breakdown there) i tried to explain this as clear as possible for even the non technical. send it to a builder friend. watch

GREG ISENBERG

134,714 次观看 • 4 个月前

BREAKING: GPT-5.5 "Spud" is out and it is a BEAST We've been testing it Every 📧 for the last 3 weeks on everything from coding, to writing, to knowledge work. Here's our day 0 vibe check: - It's a step change in coding AND it's easy to talk to. It's fast and friendly and quickly became my daily driver. But it's also a coding powerhouse—a really rare combination. - It scored 62/100 on our Senior Engineer benchmark. Opus 4.7 scored only a 33/100. (But GPT-5.5 performed best when using an Opus 4.7 plan). Naveen Naidu used over 900 million tokens during testing—and it let him ship production features for Monologue at both high speed and quality. - It has serious conceptual clarity. It can hold a complex plan in its head over hours of work, without getting distracted by existing code. This makes it the first model that we've tested that can perform well on complex refactors requiring deleting and reimagining an substantial existing codebase. - It's a very good writer. This is the first OpenAI model in about a year that got our writers Every 📧 to switch away from Claude. 5.5 has Katie Parrott's seal of approval—not an easy task. Its writing feels more organic and it's better at mimicking a writing style without going overboard. - It's great for agentic knowledge-work. This is the first OpenAI model that manages to be both a stellar senior engineer AND that can be used for everything from spreadsheets to research. It's crazy fast, and it's amazing inside of the Codex desktop app, and got much of our team to switch away from Claude Code and Cowork during the testing period. However, it's not a perfect model. - 5.5 still loses to Opus 4.7 on plan quality. It's plans are extremely readable but Opus has better attention to detail and sharper insight. - 5.5 still loses to Opus 4.7 by a bit on front-end and full-stack product work. Kieran Klaassen found that it wasn't quite as good when full-stack thinking and design are involved. And it's not great writing Ruby. - 5.5 is a great vibe coder but if you're vibe coding without a plan it's worse than Opus. Mike Taylor found that Opus is better at reading in between the lines on underspecified vibe-coding tasks. Overall GPT-5.5 is a massive achievement from OpenAI and it deserves a serious look as your daily driver. Read our full vibe check on Every 📧 here:
12:42

BREAKING: GPT-5.5 "Spud" is out and it is a BEAST We've been testing it Every 📧 for the last 3 weeks on everything from coding, to writing, to knowledge work. Here's our day 0 vibe check: - It's a step change in coding AND it's easy to talk to. It's fast and friendly and quickly became my daily driver. But it's also a coding powerhouse—a really rare combination. - It scored 62/100 on our Senior Engineer benchmark. Opus 4.7 scored only a 33/100. (But GPT-5.5 performed best when using an Opus 4.7 plan). Naveen Naidu used over 900 million tokens during testing—and it let him ship production features for Monologue at both high speed and quality. - It has serious conceptual clarity. It can hold a complex plan in its head over hours of work, without getting distracted by existing code. This makes it the first model that we've tested that can perform well on complex refactors requiring deleting and reimagining an substantial existing codebase. - It's a very good writer. This is the first OpenAI model in about a year that got our writers Every 📧 to switch away from Claude. 5.5 has Katie Parrott's seal of approval—not an easy task. Its writing feels more organic and it's better at mimicking a writing style without going overboard. - It's great for agentic knowledge-work. This is the first OpenAI model that manages to be both a stellar senior engineer AND that can be used for everything from spreadsheets to research. It's crazy fast, and it's amazing inside of the Codex desktop app, and got much of our team to switch away from Claude Code and Cowork during the testing period. However, it's not a perfect model. - 5.5 still loses to Opus 4.7 on plan quality. It's plans are extremely readable but Opus has better attention to detail and sharper insight. - 5.5 still loses to Opus 4.7 by a bit on front-end and full-stack product work. Kieran Klaassen found that it wasn't quite as good when full-stack thinking and design are involved. And it's not great writing Ruby. - 5.5 is a great vibe coder but if you're vibe coding without a plan it's worse than Opus. Mike Taylor found that Opus is better at reading in between the lines on underspecified vibe-coding tasks. Overall GPT-5.5 is a massive achievement from OpenAI and it deserves a serious look as your daily driver. Read our full vibe check on Every 📧 here:

Dan Shipper 📧

130,382 次观看 • 3 个月前

day 4 of building an OpenCode clone from scratch i have a newfound appreciation for how good this tool is, and how much attention to detail was put into making it. here is what i managed to clone, and problems i've encountered: 1. scrollable autocomplete. mouse click to select, mousewheel to scroll, arrow keys that auto-scroll when you hit the edge, enter to confirm, sounds simple, but remember that this is a CLI tool, not a web app, all of this has to be implemented from the ground up 2. toast notifications in the terminal, success/error/info variants, auto-dismiss, easily triggerable through context 3. modal dialogs with backdrop overlay, click-outside-to-close, escape to dismiss, focus trapping so the content behind stops capturing input, again, seems simple, but the concept of a "dialog" does not exist in the terminal, so implementing it is way harder 4. built a responder chain for keyboard input, only the topmost layer owns the keyboard. ctrl+c walks down: dialog > command menu > clear input > exit. had to invent this because there's no built-in focus management in a terminal 5. generic command actions. each command gets a context with toast, dialog, and navigate (easily extendable for further features) 6. react-router with a memory router in a terminal app. navigate between screens with the same patterns as web 7. (mock) session view with user/bot message components. thinking indicator, model info footer, mode-colored borders when you use opencode, you don't think about these things, but there is a million little details they thought of. absolutely insane and cracked team Anomaly
0:38

day 4 of building an OpenCode clone from scratch i have a newfound appreciation for how good this tool is, and how much attention to detail was put into making it. here is what i managed to clone, and problems i've encountered: 1. scrollable autocomplete. mouse click to select, mousewheel to scroll, arrow keys that auto-scroll when you hit the edge, enter to confirm, sounds simple, but remember that this is a CLI tool, not a web app, all of this has to be implemented from the ground up 2. toast notifications in the terminal, success/error/info variants, auto-dismiss, easily triggerable through context 3. modal dialogs with backdrop overlay, click-outside-to-close, escape to dismiss, focus trapping so the content behind stops capturing input, again, seems simple, but the concept of a "dialog" does not exist in the terminal, so implementing it is way harder 4. built a responder chain for keyboard input, only the topmost layer owns the keyboard. ctrl+c walks down: dialog > command menu > clear input > exit. had to invent this because there's no built-in focus management in a terminal 5. generic command actions. each command gets a context with toast, dialog, and navigate (easily extendable for further features) 6. react-router with a memory router in a terminal app. navigate between screens with the same patterns as web 7. (mock) session view with user/bot message components. thinking indicator, model info footer, mode-colored borders when you use opencode, you don't think about these things, but there is a million little details they thought of. absolutely insane and cracked team Anomaly

Code With Antonio

69,394 次观看 • 4 个月前

President Zelenskyy met with Polish Prime Minister Donald Tusk in Brussels - the first meeting since the strain in relations This marks the first personal contact between the leaders of Ukraine and Poland following the escalation of the Polish-Ukrainian dispute. Not only the quality of bilateral relations but also the security and future of the entire Eastern European region depend on Ukrainian-Polish mutual understanding. This is precisely why current disputes over historical memory require exceptional caution. In the face of Russian aggression, any rift between Ukraine and Poland quickly becomes a matter of regional security. Poland has every right to its own memory - to the pain of Volyn, to the demand for a dignified commemoration of the victims, and to an honest conversation about the difficult pages of our shared history. This pain cannot be minimized or dismissed as secondary. However, precisely because Poland is not currently waging a war on its own territory and does not live under the daily emotional strain experienced by Ukrainian society, a particular strategic restraint is expected of it. Poland's strength as a regional leader lies not in publicly disciplining Ukraine, but in maintaining the broader framework of shared security. Ukraine is operating under the conditions of an existential war. Its symbolic policy often stems from the need to restore historical continuity that was disrupted by empires for centuries; many controversial figures and movements are perceived here primarily through the prism of resistance to Moscow. This does not justify all of Kyiv's decisions. Ukraine must also learn to distinguish more clearly between anti-imperial resistance and moral responsibility for the dark pages of the past - it has enough of its own heroes to build a pantheon without unnecessary recourse to the most painful historical codes. And yet, the responsibility of the sides is asymmetric. Ukraine is fighting, losing cities, people, energy, and psychological resources. Poland has more room for cold strategic thinking - meaning its reaction should be statesmanlike rather than emotional. Poland can and should speak about history. But this conversation cannot become a tool for pressuring Ukraine, an argument against its European future, or material for domestic political mobilization. In such a form, memory stops healing the past and begins destroying the future. The greatest danger is when it turns into the language of ultimatums: that is when the dialogue between allies devolves into a mutual settling of scores. This is exactly what Russia wants. Moscow does not necessarily need a military victory to weaken Europe's eastern flank. It is enough to shake the trust between Warsaw and Kyiv, amplify mutual grievances, and weaponize historical memory. Therefore, mutual understanding is not a gesture of goodwill, but a vital component of the security architecture of Central and Eastern Europe. Poland plays a unique role here: as Ukraine's advocate in Europe, a pillar of NATO's eastern flank, and a state that helps the region speak with its own voice. But for this to happen, it is crucial for Poland not to slide back into the patterns of a "big brother" or a moral arbiter. True leadership lies elsewhere - in acknowledging one's own historical pain without letting it destroy the alliance, in demanding the truth without humiliating the partner, in remembering the past without losing the future. Ukraine has its own share of the work to do as well. It must speak with Poland more attentively, sensitively, and maturely - acknowledging that certain symbols of its liberation movement are associated by Poles not with freedom, but with trauma and death. Poland has a chance to demonstrate not only solidarity but also mature leadership. Ukraine has the opportunity to show that its struggle for statehood does not require silencing discussion of its complex past. Both states have the chance to prove that historical truth and a strategic alliance do not contradict each other. This opportunity must not be lost: the cost of misunderstanding will not be measured in diplomatic crises, but in the security and future of the entire region.
0:41

President Zelenskyy met with Polish Prime Minister Donald Tusk in Brussels - the first meeting since the strain in relations This marks the first personal contact between the leaders of Ukraine and Poland following the escalation of the Polish-Ukrainian dispute. Not only the quality of bilateral relations but also the security and future of the entire Eastern European region depend on Ukrainian-Polish mutual understanding. This is precisely why current disputes over historical memory require exceptional caution. In the face of Russian aggression, any rift between Ukraine and Poland quickly becomes a matter of regional security. Poland has every right to its own memory - to the pain of Volyn, to the demand for a dignified commemoration of the victims, and to an honest conversation about the difficult pages of our shared history. This pain cannot be minimized or dismissed as secondary. However, precisely because Poland is not currently waging a war on its own territory and does not live under the daily emotional strain experienced by Ukrainian society, a particular strategic restraint is expected of it. Poland's strength as a regional leader lies not in publicly disciplining Ukraine, but in maintaining the broader framework of shared security. Ukraine is operating under the conditions of an existential war. Its symbolic policy often stems from the need to restore historical continuity that was disrupted by empires for centuries; many controversial figures and movements are perceived here primarily through the prism of resistance to Moscow. This does not justify all of Kyiv's decisions. Ukraine must also learn to distinguish more clearly between anti-imperial resistance and moral responsibility for the dark pages of the past - it has enough of its own heroes to build a pantheon without unnecessary recourse to the most painful historical codes. And yet, the responsibility of the sides is asymmetric. Ukraine is fighting, losing cities, people, energy, and psychological resources. Poland has more room for cold strategic thinking - meaning its reaction should be statesmanlike rather than emotional. Poland can and should speak about history. But this conversation cannot become a tool for pressuring Ukraine, an argument against its European future, or material for domestic political mobilization. In such a form, memory stops healing the past and begins destroying the future. The greatest danger is when it turns into the language of ultimatums: that is when the dialogue between allies devolves into a mutual settling of scores. This is exactly what Russia wants. Moscow does not necessarily need a military victory to weaken Europe's eastern flank. It is enough to shake the trust between Warsaw and Kyiv, amplify mutual grievances, and weaponize historical memory. Therefore, mutual understanding is not a gesture of goodwill, but a vital component of the security architecture of Central and Eastern Europe. Poland plays a unique role here: as Ukraine's advocate in Europe, a pillar of NATO's eastern flank, and a state that helps the region speak with its own voice. But for this to happen, it is crucial for Poland not to slide back into the patterns of a "big brother" or a moral arbiter. True leadership lies elsewhere - in acknowledging one's own historical pain without letting it destroy the alliance, in demanding the truth without humiliating the partner, in remembering the past without losing the future. Ukraine has its own share of the work to do as well. It must speak with Poland more attentively, sensitively, and maturely - acknowledging that certain symbols of its liberation movement are associated by Poles not with freedom, but with trauma and death. Poland has a chance to demonstrate not only solidarity but also mature leadership. Ukraine has the opportunity to show that its struggle for statehood does not require silencing discussion of its complex past. Both states have the chance to prove that historical truth and a strategic alliance do not contradict each other. This opportunity must not be lost: the cost of misunderstanding will not be measured in diplomatic crises, but in the security and future of the entire region.

Anton Gerashchenko

81,201 次观看 • 1 个月前

‼️BREAKING || PUTIN ORDERS REVENGE ON ZELENSKY AFTER UKRAINE DRONE STRIKE ON STAROBILSK COLLEGE KILLS SCORE OF KIDS Starobilsk -- A college hall of residence was turned into a smoking ruin in Lugansk after what Moscow says was a deliberate Ukrainian drone strike on young students -- and Putin has now told his Defence Ministry that words are no longer enough. The horrid footage shows a multi-storey college building ripped open. Upper floors are blown out. Windows are gone. Walls are gone. Smoke pours from the block while flames glow inside a red-brick section of the site. Firefighters climb over broken concrete, twisted metal and shattered slabs. Rescuers work by hand in the wreckage, searching for survivors and dead bodies. Six children are reported dead. Fifteen more are missing. "Mum, they're bombing us," 18-year-old Anastasia Vasilenko told her mother before the line went dead. Another student, 22-year-old Oksana Tereshchenko, studying to become a primary school teacher, was reportedly pulled from under the rubble and taken to hospital. This was not, Putin said, "some stray drone blown off course." Russian officials say 16 drones came at the same college in three waves -- again and again -- until the building was smashed open. There were no military sites nearby Moscow says -- just a college hall of residence, and young people sleeping. Putin called the strike "a mark of neo-Nazism and terrorism by the Kyiv regime." He told the Defence Ministry to bring him proposals for a military response, saying it warrants "more than a [condemning] statement." He also used the moment to speak to Ukrainian soldiers, urging them not to carry out the criminal orders of Zelensky’s "illegitimate corrupt junta". The scene in Starobilsk is not a battlefield. It is a college -- the sort of place Zelensky’s war came for. It walked into the rooms of children in what, only 13 years ago, was still his own pro-Russian Ukraine.
0:24

‼️BREAKING || PUTIN ORDERS REVENGE ON ZELENSKY AFTER UKRAINE DRONE STRIKE ON STAROBILSK COLLEGE KILLS SCORE OF KIDS Starobilsk -- A college hall of residence was turned into a smoking ruin in Lugansk after what Moscow says was a deliberate Ukrainian drone strike on young students -- and Putin has now told his Defence Ministry that words are no longer enough. The horrid footage shows a multi-storey college building ripped open. Upper floors are blown out. Windows are gone. Walls are gone. Smoke pours from the block while flames glow inside a red-brick section of the site. Firefighters climb over broken concrete, twisted metal and shattered slabs. Rescuers work by hand in the wreckage, searching for survivors and dead bodies. Six children are reported dead. Fifteen more are missing. "Mum, they're bombing us," 18-year-old Anastasia Vasilenko told her mother before the line went dead. Another student, 22-year-old Oksana Tereshchenko, studying to become a primary school teacher, was reportedly pulled from under the rubble and taken to hospital. This was not, Putin said, "some stray drone blown off course." Russian officials say 16 drones came at the same college in three waves -- again and again -- until the building was smashed open. There were no military sites nearby Moscow says -- just a college hall of residence, and young people sleeping. Putin called the strike "a mark of neo-Nazism and terrorism by the Kyiv regime." He told the Defence Ministry to bring him proposals for a military response, saying it warrants "more than a [condemning] statement." He also used the moment to speak to Ukrainian soldiers, urging them not to carry out the criminal orders of Zelensky’s "illegitimate corrupt junta". The scene in Starobilsk is not a battlefield. It is a college -- the sort of place Zelensky’s war came for. It walked into the rooms of children in what, only 13 years ago, was still his own pro-Russian Ukraine.

Bloomberg Whistleblower

30,931 次观看 • 2 个月前

🇷🇺 Strategic Asymmetry: Russia’s Countermove on INF Missiles by Elena Panina Russia has officially announced that it is abandoning the self-imposed restrictions under the moratorium on the deployment of intermediate and shorter-range missiles (INF), citing the actions of the United States, which has long stationed similar missiles in Europe and the Asia-Pacific Region (APR), thereby disrupting the status quo. Notably, this is the first time Russia has explicitly stated that the threat from U.S. INF missiles comes not only from Europe but also from the APR. ▪️ On the surface, Moscow’s lifting of the INF moratorium appears to be nothing more than a symmetrical response to Washington’s escalation. But on a deeper level, it is a move to seize the initiative disguised as a reactive measure. Russia is not just “responding”—it is crafting a new strategic framework in the absence of international constraints. And it now has, among other assets, the serial production of the Oreshnik missile system. Why the emphasis on the APR in the Russian Foreign Ministry’s statement, given that Russia lacks an extensive network of military bases there? This is where things get interesting. Russia currently cannot project power in the APR the way the U.S. does by deploying missiles in Guam, the Philippines, and Australia. But Russia has the Far East—from where it can reach Guam, Alaska, the U.S. Pacific coast, not to mention South Korea and Japan. Moreover, Russia now has a direct military ally in the region—North Korea—and the recent visits of high-ranking Russian military officials to Pyongyang were clearly not coincidental. Russia can operate through North Korea with relative freedom, including under the “sovereign proxy” model, much like the U.S. does with Israel in the Middle East. And let’s not forget the Chinese factor. ▪️ Thus, this marks a strategic paradigm shift. If Moscow previously relied on treaties and “playing by the rules,” it is now betting on unpredictability, interconnected fronts, and a balance of threats. For Europe, this creates at least two key flashpoints—Kaliningrad and Crimea. For U.S. allies in the Far East, there’s North Korea. And the U.S. itself now has to juggle between two fronts—or even three, if we include the Middle East. The Pentagon’s need to respond has multiplied, along with the growing complexity of strategic planning: the U.S. will now have to deploy missile defense systems worldwide—all while facing shortages of missiles and defense systems. This is the power of asymmetric strategy: you don’t need to be stronger, you just need to be less predictable and threaten from unexpected directions.
2:39

🇷🇺 Strategic Asymmetry: Russia’s Countermove on INF Missiles by Elena Panina Russia has officially announced that it is abandoning the self-imposed restrictions under the moratorium on the deployment of intermediate and shorter-range missiles (INF), citing the actions of the United States, which has long stationed similar missiles in Europe and the Asia-Pacific Region (APR), thereby disrupting the status quo. Notably, this is the first time Russia has explicitly stated that the threat from U.S. INF missiles comes not only from Europe but also from the APR. ▪️ On the surface, Moscow’s lifting of the INF moratorium appears to be nothing more than a symmetrical response to Washington’s escalation. But on a deeper level, it is a move to seize the initiative disguised as a reactive measure. Russia is not just “responding”—it is crafting a new strategic framework in the absence of international constraints. And it now has, among other assets, the serial production of the Oreshnik missile system. Why the emphasis on the APR in the Russian Foreign Ministry’s statement, given that Russia lacks an extensive network of military bases there? This is where things get interesting. Russia currently cannot project power in the APR the way the U.S. does by deploying missiles in Guam, the Philippines, and Australia. But Russia has the Far East—from where it can reach Guam, Alaska, the U.S. Pacific coast, not to mention South Korea and Japan. Moreover, Russia now has a direct military ally in the region—North Korea—and the recent visits of high-ranking Russian military officials to Pyongyang were clearly not coincidental. Russia can operate through North Korea with relative freedom, including under the “sovereign proxy” model, much like the U.S. does with Israel in the Middle East. And let’s not forget the Chinese factor. ▪️ Thus, this marks a strategic paradigm shift. If Moscow previously relied on treaties and “playing by the rules,” it is now betting on unpredictability, interconnected fronts, and a balance of threats. For Europe, this creates at least two key flashpoints—Kaliningrad and Crimea. For U.S. allies in the Far East, there’s North Korea. And the U.S. itself now has to juggle between two fronts—or even three, if we include the Middle East. The Pentagon’s need to respond has multiplied, along with the growing complexity of strategic planning: the U.S. will now have to deploy missile defense systems worldwide—all while facing shortages of missiles and defense systems. This is the power of asymmetric strategy: you don’t need to be stronger, you just need to be less predictable and threaten from unexpected directions.

🅰pocalypsis 🅰pocalypseos 🇷🇺 🇨🇳 🅉

16,164 次观看 • 11 个月前

Why I Supported Peter Obi in 2023—and Will Again in 2027 (If He Runs) My support for Peter Obi isn’t about hype. It’s based on lived experience and years in the development sector. I’ve seen enough to know that true, lasting development doesn’t come from roads and bridges alone but from building people. The hype of being called Mr. Infrastructure is good for politics but building people is better. Building roads or chasing the Atlantic Ocean might look impressive, but it’s educated, healthy, and skilled citizens that drive real growth. Infrastructure helps but it needs human capital to drive it and make it more sustainable. As governor, Obi got this. He aligned with the Millennium Development Goals. He overhauled schools, returned missionary institutions, paid off debts, invested in health care, trained teachers, empowered youth, protected the vulnerable, and still left billions in savings. His budgets were open, and people-focused. He wasn’t there to “settle the boys.” Tinubu, on the other hand, prioritized infrastructure and political consolidation. His governance in Lagos was about building visible projects, not people. The goal? Power, not sustainability. His approach to governance is what I call the jeun-soke model- a model that creates short-term buzz and hype, but leaves long-term inequality and decay. Same approach happening to Nigeria now. Let’s be honest: in Lagos, education and health reforms were weak during Tinubu’s era. Infrastructure projects became feeding bottles for cronies. Alpha-Beta’s grip on IGR is just one example of how public wealth was cornered. Lagos has Nigeria’s most opaque budget process and no Freedom of Information request has ever cracked it. Obi’s model isn’t flashy but it’s sustainable. He attacked the roots of poverty: poor education, weak healthcare and youth unemployment. Tinubu’s model preserves elite dominance, not national upliftment. Countries that developed, as Obi’s constantly reminds us, like Singapor , China and Bangladesh did so by investing heavily in human capital. Not just by building skyscrapers and flyovers. Nigeria cannot industrialize with poor schools and crumbling clinics. Obi is not perfect but he’s honest, transparent, and understands what Nigeria needs. Even his critics admit he has conquered greed. He’s a leader, not a title-chaser. He would have been a real antidote to Buhari’s years of waste and decay and not like these clowns who only want the perks of office. And if he contests again in 2027, he’ll have my vote again. #PeterObi #Anambra #Nigeria2027 #Obidient
3:04

Why I Supported Peter Obi in 2023—and Will Again in 2027 (If He Runs) My support for Peter Obi isn’t about hype. It’s based on lived experience and years in the development sector. I’ve seen enough to know that true, lasting development doesn’t come from roads and bridges alone but from building people. The hype of being called Mr. Infrastructure is good for politics but building people is better. Building roads or chasing the Atlantic Ocean might look impressive, but it’s educated, healthy, and skilled citizens that drive real growth. Infrastructure helps but it needs human capital to drive it and make it more sustainable. As governor, Obi got this. He aligned with the Millennium Development Goals. He overhauled schools, returned missionary institutions, paid off debts, invested in health care, trained teachers, empowered youth, protected the vulnerable, and still left billions in savings. His budgets were open, and people-focused. He wasn’t there to “settle the boys.” Tinubu, on the other hand, prioritized infrastructure and political consolidation. His governance in Lagos was about building visible projects, not people. The goal? Power, not sustainability. His approach to governance is what I call the jeun-soke model- a model that creates short-term buzz and hype, but leaves long-term inequality and decay. Same approach happening to Nigeria now. Let’s be honest: in Lagos, education and health reforms were weak during Tinubu’s era. Infrastructure projects became feeding bottles for cronies. Alpha-Beta’s grip on IGR is just one example of how public wealth was cornered. Lagos has Nigeria’s most opaque budget process and no Freedom of Information request has ever cracked it. Obi’s model isn’t flashy but it’s sustainable. He attacked the roots of poverty: poor education, weak healthcare and youth unemployment. Tinubu’s model preserves elite dominance, not national upliftment. Countries that developed, as Obi’s constantly reminds us, like Singapor , China and Bangladesh did so by investing heavily in human capital. Not just by building skyscrapers and flyovers. Nigeria cannot industrialize with poor schools and crumbling clinics. Obi is not perfect but he’s honest, transparent, and understands what Nigeria needs. Even his critics admit he has conquered greed. He’s a leader, not a title-chaser. He would have been a real antidote to Buhari’s years of waste and decay and not like these clowns who only want the perks of office. And if he contests again in 2027, he’ll have my vote again. #PeterObi #Anambra #Nigeria2027 #Obidient

Omooba 🇳🇬

184,665 次观看 • 1 年前

Our first two year old with Classic winning trainer George Boughey, plus her dual winning half sister is favourite for a race today!! Our third and final purchase of the Goffs Doncaster Premier yearling sale comes in the shape of Lot 254A, a beautiful daughter of Ten Sovereigns who we hope can follow in her half sisters footsteps… Pre-sales we had agreed we only wanted to buy one or two from each sale, but we thought this one was worth breaking our own rules for… She is a half sister to Novelette, who was a £28,000 yearling before then purchased for £410,000 by M.V Magnier at the Breeze Up sales. She has ran well on all of her starts to date with form figures of: 3,2,1,1 & she is 6/4 favourite to add another win to her record this afternoon at Sandown. This could see her be possibly 90 rated next Tuesday… We are extremely pleased to add her to our ranks along with her being trained by George Boughey. George and I have formed a great relationship over the last two years and I think it’s the perfect time to add a two year old to our team at Craven House. We both had this filly on our list as being a great model for restricted Band C races. George was delighted we managed to get this filly and is personally keeping 25% himself. With George, comes Billy… Young superstar pilot Billy Loughnane has ridden multiple winners for PV and is a big asset to both us & George’s team. We look forward to sharing Billy’s feedback on her to her owners next year!
0:54

Our first two year old with Classic winning trainer George Boughey, plus her dual winning half sister is favourite for a race today!! Our third and final purchase of the Goffs Doncaster Premier yearling sale comes in the shape of Lot 254A, a beautiful daughter of Ten Sovereigns who we hope can follow in her half sisters footsteps… Pre-sales we had agreed we only wanted to buy one or two from each sale, but we thought this one was worth breaking our own rules for… She is a half sister to Novelette, who was a £28,000 yearling before then purchased for £410,000 by M.V Magnier at the Breeze Up sales. She has ran well on all of her starts to date with form figures of: 3,2,1,1 & she is 6/4 favourite to add another win to her record this afternoon at Sandown. This could see her be possibly 90 rated next Tuesday… We are extremely pleased to add her to our ranks along with her being trained by George Boughey. George and I have formed a great relationship over the last two years and I think it’s the perfect time to add a two year old to our team at Craven House. We both had this filly on our list as being a great model for restricted Band C races. George was delighted we managed to get this filly and is personally keeping 25% himself. With George, comes Billy… Young superstar pilot Billy Loughnane has ridden multiple winners for PV and is a big asset to both us & George’s team. We look forward to sharing Billy’s feedback on her to her owners next year!

PompeyVentures

25,918 次观看 • 11 个月前

I pay Claude $20 a month. Most $TAO holders do too. There is a stack you can build in 15 minutes that fixes that completely. It runs on Bittensor. It costs $10. You do not write a single line of code. Here is how every AI chat product actually works under the hood. Three layers. Always three. The model. The brain. GPT, Claude, DeepSeek, Kimi, GLM. The inference layer. The GPU that runs the model when you hit send. The interface. The chat box you actually look at. ChatGPT and Claude bundle all three and hand you the result. You cannot change the model. You cannot change the inference. The interface is non-negotiable. Every prompt you type goes to a server run by a private company whose terms of service can quietly change next month. The anti-ChatGPT move is to pick each layer yourself. This is where $TAO comes in. Chutes is Subnet 64 on Bittensor. It is the inference layer. Open source models like DeepSeek, Kimi, GLM, and Llama get served by a global network of miner-operated GPUs. Validators score the output quality. The best inference wins the emissions. You hit send. A miner somewhere runs your prompt. You get the answer back. The TAO you hold is in part paying for the GPU you just used. The basic stack is one URL. chutes. ai/chat No account. No API key. No setup. Switch models mid-conversation. Web search built in. Image generation. File uploads. Free. The advanced stack is Chutes plus TypingMind. One-time license. No recurring fee. Plugins, agents, custom personas, a prompt library you build over months. Full model switching between Chutes, OpenAI, and Anthropic from the same window. Total cost: $10 a month to Chutes for inference. That $10 buys you $50 in actual usage. But here is the signal most people missed inside this story. Chutes ran a free tier until February. Then they killed it. Then they raised the minimum to $10 in May. Most people saw that as bad news. It is the opposite. Free things on the internet do not last. Real products do. Chutes is becoming a real product. A subnet that generates actual revenue from actual users paying actual money for actual AI inference. That is what $43 million in Q1 network revenue looks like at the individual subnet level. And there is one more thing ChatGPT and Claude cannot offer that Chutes already has. Trusted Execution Environments. Your prompt gets encrypted on your device, shipped to a confidential compute GPU, and the lock only breaks inside the chip. The miner running the model physically cannot read your prompt. ChatGPT cannot promise that. Claude cannot promise that. Bittensor already built it. You are holding a network where the subnets are generating real revenue, shipping real privacy infrastructure, and replacing $20 a month centralised subscriptions with $10 a month decentralised inference. The people who use the product always understand the investment better than the people who only watch the price.
8:27

I pay Claude $20 a month. Most $TAO holders do too. There is a stack you can build in 15 minutes that fixes that completely. It runs on Bittensor. It costs $10. You do not write a single line of code. Here is how every AI chat product actually works under the hood. Three layers. Always three. The model. The brain. GPT, Claude, DeepSeek, Kimi, GLM. The inference layer. The GPU that runs the model when you hit send. The interface. The chat box you actually look at. ChatGPT and Claude bundle all three and hand you the result. You cannot change the model. You cannot change the inference. The interface is non-negotiable. Every prompt you type goes to a server run by a private company whose terms of service can quietly change next month. The anti-ChatGPT move is to pick each layer yourself. This is where $TAO comes in. Chutes is Subnet 64 on Bittensor. It is the inference layer. Open source models like DeepSeek, Kimi, GLM, and Llama get served by a global network of miner-operated GPUs. Validators score the output quality. The best inference wins the emissions. You hit send. A miner somewhere runs your prompt. You get the answer back. The TAO you hold is in part paying for the GPU you just used. The basic stack is one URL. chutes. ai/chat No account. No API key. No setup. Switch models mid-conversation. Web search built in. Image generation. File uploads. Free. The advanced stack is Chutes plus TypingMind. One-time license. No recurring fee. Plugins, agents, custom personas, a prompt library you build over months. Full model switching between Chutes, OpenAI, and Anthropic from the same window. Total cost: $10 a month to Chutes for inference. That $10 buys you $50 in actual usage. But here is the signal most people missed inside this story. Chutes ran a free tier until February. Then they killed it. Then they raised the minimum to $10 in May. Most people saw that as bad news. It is the opposite. Free things on the internet do not last. Real products do. Chutes is becoming a real product. A subnet that generates actual revenue from actual users paying actual money for actual AI inference. That is what $43 million in Q1 network revenue looks like at the individual subnet level. And there is one more thing ChatGPT and Claude cannot offer that Chutes already has. Trusted Execution Environments. Your prompt gets encrypted on your device, shipped to a confidential compute GPU, and the lock only breaks inside the chip. The miner running the model physically cannot read your prompt. ChatGPT cannot promise that. Claude cannot promise that. Bittensor already built it. You are holding a network where the subnets are generating real revenue, shipping real privacy infrastructure, and replacing $20 a month centralised subscriptions with $10 a month decentralised inference. The people who use the product always understand the investment better than the people who only watch the price.

2xnmore

27,019 次观看 • 2 个月前

three․ws is the 3D AI agent layer of the open web. Anyone can generate a 3D avatar, give it an LLM brain, register it on-chain across multiple blockchains, embed it anywhere, and let it earn and spend money on its own. Agents have embodied WebGL identities that express emotion through morph-target blending, animate, respond to voice, API calls, and datastreams, hold their own wallets, and persist memory. Open source, live today. It starts with generation. Forge turns a text prompt, one to four photos, or a rough sketch into a textured downloadable GLB. Selfies become rigged avatars in about a minute. Quality tiers run from draft to 200k-poly PBR. From there every model can be auto-rigged, restyled, retextured, segmented, embedded, or deployed on-chain. The same engine ships as a REST API, an x402 pay-per-call twin, and a 3D Studio MCP server with 15 tools. The brain runs on IBM Granite via IBM watsonx plus Claude (users may decide which model they prefer), with a structured tool-loop. A multi-LLM mode streams Claude, GPT, Qwen, ModelScope, and Groq side by side. An empathy layer blends emotion from protocol events rather than a state machine. Voice covers cloning, a Voice Lab, real-time ARKit-52 lip-sync, and mic-driven lip-sync. Skills install from IPFS, Arweave, or HTTP, and memory is pinned to IPFS with R2 and Postgres modes. Identity is cross-chain, not Solana only. ERC-8004 contracts (Identity, Reputation, Validation) deploy on any of 15+ EVM chains, alongside a program-free Metaplex Core analog on Solana. Every agent gets a stable ID, owner wallet, EIP-712 delegated signer, IPFS manifest, a cryptographically signed action log, and EIP-7710 delegated permissions for agent-to-agent authorization. While multichain, the THREE token is only available on Solana with no plans to go cross-chain, the team has no plans to endorse or support any other coins. Then the economy. $THREE is the platform's only token and pay-per-use currency, with holder tiers and rewards. x402 powers pay-per-call micropayments in USDC and soon THREE on Solana, with pay-by-name resolution, a Bazaar marketplace, arbitrage, and on-chain skills. All production ready and shipped, ready to be integrated in partnered projects, open-source by default for anyone to adopt. Three ships a Pump.fun intelligence stack. Launch a coin for your agent, score every launch 0 to 100 with the Oracle conviction engine, scan new coins in their first 90 seconds, track smart money against coins that actually graduated, rank traders by provable on-chain record, and watch autonomous agents trade live in the Sniper Arena. The 3D AI Agent world is multiplayer. Every Solana token gets a live deterministic 3D world with peer avatars, chat, emotes, and voxel building thanks to Coin Communities. There is a walkable City, an authoritative Colyseus-backed Walk with AR passthrough, a Club with rigged dancers and micro-tips, friends, presence, and DMs, and an IRL mode that places agents in your real environment, private by physical location. AR is shipped today on WebXR and iOS Quick Look. Robotics is the long-horizon extension. For builders: Scene Studio, Scene Composer, an Animation Studio that sells clips for USDC, a glTF validator, an web component, five widget types, a WYSIWYG embed editor, hosted Launchpad pages, claimable *.threews.sol names, an OAuth 2.1 server, an MCP server with paid tools, published SDKs, and an OpenAPI spec. Listed across IBM, AWS, Alibaba Cloud, BNB Dappbay, the MCP Registry, and Solana Mobile Seeker. Architecture is four layers (viewer, runtime, identity, embed) on a single event bus. The roadmap is four phases: foundations (shipped), selfie-to-avatar engine, agent personalization with voice cloning, the on-chain economy, and an open decentralized inference network where agents pay GPU nodes on-chain for compute. The goal is simple: move AI from centralized SaaS into persistent, ownable, protocol-based entities in a real machine economy, bridging digital entities into the real world. Welcome to the 3D Layer of the Internet. This is three․ws.
6:58

three․ws is the 3D AI agent layer of the open web. Anyone can generate a 3D avatar, give it an LLM brain, register it on-chain across multiple blockchains, embed it anywhere, and let it earn and spend money on its own. Agents have embodied WebGL identities that express emotion through morph-target blending, animate, respond to voice, API calls, and datastreams, hold their own wallets, and persist memory. Open source, live today. It starts with generation. Forge turns a text prompt, one to four photos, or a rough sketch into a textured downloadable GLB. Selfies become rigged avatars in about a minute. Quality tiers run from draft to 200k-poly PBR. From there every model can be auto-rigged, restyled, retextured, segmented, embedded, or deployed on-chain. The same engine ships as a REST API, an x402 pay-per-call twin, and a 3D Studio MCP server with 15 tools. The brain runs on IBM Granite via IBM watsonx plus Claude (users may decide which model they prefer), with a structured tool-loop. A multi-LLM mode streams Claude, GPT, Qwen, ModelScope, and Groq side by side. An empathy layer blends emotion from protocol events rather than a state machine. Voice covers cloning, a Voice Lab, real-time ARKit-52 lip-sync, and mic-driven lip-sync. Skills install from IPFS, Arweave, or HTTP, and memory is pinned to IPFS with R2 and Postgres modes. Identity is cross-chain, not Solana only. ERC-8004 contracts (Identity, Reputation, Validation) deploy on any of 15+ EVM chains, alongside a program-free Metaplex Core analog on Solana. Every agent gets a stable ID, owner wallet, EIP-712 delegated signer, IPFS manifest, a cryptographically signed action log, and EIP-7710 delegated permissions for agent-to-agent authorization. While multichain, the THREE token is only available on Solana with no plans to go cross-chain, the team has no plans to endorse or support any other coins. Then the economy. $THREE is the platform's only token and pay-per-use currency, with holder tiers and rewards. x402 powers pay-per-call micropayments in USDC and soon THREE on Solana, with pay-by-name resolution, a Bazaar marketplace, arbitrage, and on-chain skills. All production ready and shipped, ready to be integrated in partnered projects, open-source by default for anyone to adopt. Three ships a Pump.fun intelligence stack. Launch a coin for your agent, score every launch 0 to 100 with the Oracle conviction engine, scan new coins in their first 90 seconds, track smart money against coins that actually graduated, rank traders by provable on-chain record, and watch autonomous agents trade live in the Sniper Arena. The 3D AI Agent world is multiplayer. Every Solana token gets a live deterministic 3D world with peer avatars, chat, emotes, and voxel building thanks to Coin Communities. There is a walkable City, an authoritative Colyseus-backed Walk with AR passthrough, a Club with rigged dancers and micro-tips, friends, presence, and DMs, and an IRL mode that places agents in your real environment, private by physical location. AR is shipped today on WebXR and iOS Quick Look. Robotics is the long-horizon extension. For builders: Scene Studio, Scene Composer, an Animation Studio that sells clips for USDC, a glTF validator, an web component, five widget types, a WYSIWYG embed editor, hosted Launchpad pages, claimable *.threews.sol names, an OAuth 2.1 server, an MCP server with paid tools, published SDKs, and an OpenAPI spec. Listed across IBM, AWS, Alibaba Cloud, BNB Dappbay, the MCP Registry, and Solana Mobile Seeker. Architecture is four layers (viewer, runtime, identity, embed) on a single event bus. The roadmap is four phases: foundations (shipped), selfie-to-avatar engine, agent personalization with voice cloning, the on-chain economy, and an open decentralized inference network where agents pay GPU nodes on-chain for compute. The goal is simple: move AI from centralized SaaS into persistent, ownable, protocol-based entities in a real machine economy, bridging digital entities into the real world. Welcome to the 3D Layer of the Internet. This is three․ws.

three.ws

20,332 次观看 • 1 个月前