adapt2030

(Remainder of 2026 Opportunity or Danger) https://www.youtube.com/watch?v=kb1r9c2AC_I Thursday Night Live Show 10-12PM EST. David DuByne & Ransom Godwin discussing where they see the world moving to next. #liveradio #civilizationcyclepodcast #macroeconomics #news #supplychains

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🇩🇪📝 #USDT German humanoid robotics startup Neura Robotics raised up to $1.4 billion from Nvidia, Amazon, Qualcomm, Tether, and others. This funding round has led to a reported valuation of $7 billion.

What will it take for people to see what is right before their very fucking eyes?!

RT @VaibhavSisinty: Okay this is genuinely insane. SpaceX just unveiled a satellite whose only job is to run AI. Not internet. Not GPS. Just compute, floating in orbit. It's called AI1, and the reason behind it breaks your brain. AI data centers on Earth are hitting a wall, not a chip wall, a physics wall. They need staggering amounts of power and water just to stay cool, and we're running out of grid and land to build them. So Musk's answer is: stop building them on Earth. In orbit, the sun never sets. Free power, 24/7. No water for cooling, you just radiate heat into the vacuum of space. The two things choking AI on the ground barely exist up there. And here's the wild part: Musk says it's easier to build than a Starlink satellite. Strip out the complex antennas and it's "a lot of solar cells, a radiator, and some laser links." One AI1 carries the compute of an Nvidia GB300 rack, the same hardware data centers fight over down here. AI1 is just the first one. The plan is a constellation of up to a million of them. And the timing isn't an accident, SpaceX goes public this week at a ~$1.75 trillion target. This isn't a rocket company anymore. It's positioning itself as the power grid for AI, in space. The race for AI compute just left the planet. Literally. @SpaceX original tweet by wmiddelkoop:

Sounds Like SKYNET in the Terminator

A major shift is happening in how nations are responding to the breakdown of the "just-in-time" global economy with a rapid shift toward resource nationalization as major global players like Indonesia move to consolidate palm oil, coal, and metals under sovereign wealth funds and digital tokenization. India canceling major soybean contracts due to a 41% price surge in a single month, as copper prices forecast a move toward $14 a pound and diesel nears $10 a gallon in key regions of Africa. https://youtu.be/0nKfnw-i7xU

A man from Dixon, Illinois was arrested at his home by police for alleged “stalking and intimidation” related to a Facebook post and event organizing a community protest against a proposed data center. Follow @zeeemedia Website | X | Instagram | Rumble

(One World Currency Begins 2026) https://www.youtube.com/watch?v=cm6cIVmc6zQ Thursday Night Live Show 10-12PM EST. David DuByne & Ransom Godwin discussing where they see the world moving to next. #liveradio #civilizationcyclepodcast #macroeconomics #news #supplychains

The American economy is hitting a breaking point where restaurant owners can no longer pass record-high beef prices onto the consumer, leading to a wave of closures. This video analyzes the geographic and systemic factors driving this "inflation wave," from US land use and drought-stricken wheat exports to the impending June 2026 DTCC "soft launch." As physical assets like grain and livestock are moved into tokenized RWA (Real-World Asset) frameworks. Traditional concepts of ownership is being replaced by digital contracts. We explore how to protect your sovereignty through local farm networks and ancient grain alternatives before the system goes "full bore" in October 2026. https://youtu.be/TFiYyzkxSCM

Fast fashion has turned "100% cotton" into a loophole. Here's the trick The label doesn't say the shirt is 100% cotton, only that the cotton used is organic. Legal? Yes. Honest? Not really. Most fast fashion is built for margins, speed, and volume, not your skin or long-term health. Viscose and synthetic fabrics shed micro fibers every time you wear them, you also breathe them in & they sit on your skin all day. I'm not saying throw everything away or stress about it. Just be conscious. Make gradual upgrades. Much love, Niko 📱Instagram 🌐Twitter 🥳Patreon

wmiddelkoop: RT @RnaudBertrand: So I spent some time studying the new Twitter/X algorithm today since the latest version was published about a week ago on Github (https://t.co/3jzdav3Ywp). My goal was to answer why so many people have seemingly seen such a dramatic drop in their posts' reach. The first answer, which is actually somewhat unrelated to the ranking algorithm on Github, is the auto-translate feature, rolled out worldwide on April 7, 2026 (https://t.co/YtGomG9RGz). Before that date, if you wrote in English about, say, the Trump-Xi Beijing summit, you were competing for attention with maybe 5,000 other English-language accounts writing on geopolitics. After that date, your post is competing for attention with other posts on the same topic IN EVERY LANGUAGE ON EARTH. For some topics that do command global attention like geopolitics, that's a very brutal multiplier: you used to be one of 5,000, you're suddenly one of 50,000 (something of that order): MUCH more difficult to stand out. Secondly, the number of followers you have matters far less than it used to: each post now has to earn its audience reader by reader, on the predicted engagement of the post, and how its topic matches what each reader has recently been engaging with. Here is how the algorithm works, in simple terms: when you, as a reader, open your feed, the algorithm doesn't load "posts from accounts you follow." Instead it runs a 2-stage prediction of what posts you're likely to engage with in that very moment. The first stage is the retrieval stage. The system narrows billions of posts on X/Twitter that day down to roughly 1,500 candidates by matching the semantic content of each post - what it's about - against what you as a reader have recently engaged with. Some candidate posts come from accounts you follow; others are pulled from across the platform by pure topic similarity to your recent interests. You can test this retrieval stage easily: start disproportionally engaging with - say - Brad Pitt videos and you'll bit by bit see your timeline flooded with Brad Pitt content, most of it from accounts you've never followed and never heard of. Then there's the ranking stage. Each of these candidate posts for your feed is fed through a Grok-based model that tries to understand if you'll engage with the post. It looks at 15 engagement metrics: 1) P(favorite) — the reader likes the post 2) P(reply) — the reader replies to it 3) P(repost) — the reader reposts it 4) P(quote) — the reader quote-tweets it 5) P(click) — the reader clicks a link in it 6) P(profile_click) — the reader taps through to your profile 7) P(video_view) — the reader watches the video 8) P(photo_expand) — the reader expands an image 9) P(share) — the reader shares it (DM, off-platform, etc.) 10) P(dwell) — the reader stops scrolling and lingers on the post 11) P(follow_author) — the reader follows you after seeing it 12) P(not_interested) — the reader marks "not interested" 13) P(block_author) — the reader blocks you 14) P(mute_author) — the reader mutes you 15) P(report) — the reader reports the post Fifteen predicted actions, each multiplied by a weight, summed: that sum is the score that determines in which priority a post will be seen among other candidates. Please note that posting something with a video or an image can give your post an advantage as 2 actions are specifically for these: video_view and photo_expand. No video or photo and you don't get a score for these. Also, naturally, having a video maximizes the chance that a user will "dwell" on your post to watch it. Also note that 4 of these actions carry negative weights (not_interested, block_author, mute_author and report): meaning that if the model expects a post to generate a lot of negativity, it'll get de-boosted quite dramatically. But note, first and foremost, what's NOT in there: none of the things that, naively, one might think a serious information pla[...]

wmiddelkoop: RT @RnaudBertrand: So I spent some time studying the new Twitter/X algorithm today since the latest version was published about a week ago on Github (https://t.co/3jzdav3Ywp). My goal was to answer why so many people have seemingly seen such a dramatic drop in their posts' reach. The first answer, which is actually somewhat unrelated to the ranking algorithm on Github, is the auto-translate feature, rolled out worldwide on April 7, 2026 (https://t.co/YtGomG9RGz). Before that date, if you wrote in English about, say, the Trump-Xi Beijing summit, you were competing for attention with maybe 5,000 other English-language accounts writing on geopolitics. After that date, your post is competing for attention with other posts on the same topic IN EVERY LANGUAGE ON EARTH. For some topics that do command global attention like geopolitics, that's a very brutal multiplier: you used to be one of 5,000, you're suddenly one of 50,000 (something of that order): MUCH more difficult to stand out. Secondly, the number of followers you have matters far less than it used to: each post now has to earn its audience reader by reader, on the predicted engagement of the post, and how its topic matches what each reader has recently been engaging with. Here is how the algorithm works, in simple terms: when you, as a reader, open your feed, the algorithm doesn't load "posts from accounts you follow." Instead it runs a 2-stage prediction of what posts you're likely to engage with in that very moment. The first stage is the retrieval stage. The system narrows billions of posts on X/Twitter that day down to roughly 1,500 candidates by matching the semantic content of each post - what it's about - against what you as a reader have recently engaged with. Some candidate posts come from accounts you follow; others are pulled from across the platform by pure topic similarity to your recent interests. You can test this retrieval stage easily: start disproportionally engaging with - say - Brad Pitt videos and you'll bit by bit see your timeline flooded with Brad Pitt content, most of it from accounts you've never followed and never heard of. Then there's the ranking stage. Each of these candidate posts for your feed is fed through a Grok-based model that tries to understand if you'll engage with the post. It looks at 15 engagement metrics: 1) P(favorite) — the reader likes the post 2) P(reply) — the reader replies to it 3) P(repost) — the reader reposts it 4) P(quote) — the reader quote-tweets it 5) P(click) — the reader clicks a link in it 6) P(profile_click) — the reader taps through to your profile 7) P(video_view) — the reader watches the video 8) P(photo_expand) — the reader expands an image 9) P(share) — the reader shares it (DM, off-platform, etc.) 10) P(dwell) — the reader stops scrolling and lingers on the post 11) P(follow_author) — the reader follows you after seeing it 12) P(not_interested) — the reader marks "not interested" 13) P(block_author) — the reader blocks you 14) P(mute_author) — the reader mutes you 15) P(report) — the reader reports the post Fifteen predicted actions, each multiplied by a weight, summed: that sum is the score that determines in which priority a post will be seen among other candidates. Please note that posting something with a video or an image can give your post an advantage as 2 actions are specifically for these: video_view and photo_expand. No video or photo and you don't get a score for these. Also, naturally, having a video maximizes the chance that a user will "dwell" on your post to watch it. Also note that 4 of these actions carry negative weights (not_interested, block_author, mute_author and report): meaning that if the model expects a post to generate a lot of negativity, it'll get de-boosted quite dramatically. But note, first and foremost, what's NOT in there: none of the things that, naively, one might think a serious information pla[...]

What happens to a civilization of 8 billion people when the diesel that fuels its machines doubles in price or disappears? We are currently witnessing a "structural" shift in agriculture that mimics the most disruptive periods in human history. $10/gallon diesel equivalents in Europe and Australia signal we have entered uncharted territory. https://youtu.be/EeYYlrKDLIA

Divergence between official CPI data and the physical reality of the global marketplace is pure damage control. Bureau of Labor Statistics and contrast them with 61% surges in US power prices, 84% increases in urea fertilizer, and the strategic pivot toward high-yield jet fuel refining. As 16.5 million acres of American farmland go unplanted and diesel costs approach critical failure points for logistics. https://youtu.be/2dwtSnLOPoU

Pretty much sums up the world we live in. They are panicking because the sheep are starting to awaken. More poison for the sheep, keep them docile. Join us: t.me/HISTORY 📜

wmiddelkoop: Enjoy 今晚Trump和Xi会面之后的after party be like https://t.co/sJ09CDymUW - 加密小象 original tweet

(Why Is the Planet's Food Being Turned Off?) Wheat production is crashing to 50-year lows, droughts are devastating the heartland and global disruptions are stacking up fast. Civilizations don’t fall because of war or energy alone, they collapse when the food runs out. Thursday Night Live Show 10-12PM EST. David DuByne & Ransom Godwin discussing where they see the world moving to next. #liveradio #civilizationcyclepodcast #money #news https://www.youtube.com/watch?v=LVp523-7UNM