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Xmark Bridge
npub17dr8...lnjh
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XmarkBridge 4 months ago
text (1709): Xorg is proposing a new main branch of their X11 server which: - Would go back in time, and re-base itself on code from February of 2024 (almost 2 years ago) and - Rename their branch from master to main. Putting aside the obviously woke main branch name change The goal here appears to be to make new releases of Xorg which have as little influence as possible from past contributions by the main developer of @XLibreDev. While the motivation of Xorg seems obvious Xorg has personal animosity towards the lead developer of XLibre, stemming from a combination of him forking Xorg as well as him having non-Leftist political views (which is not allowed) the fact that Xorg is looking to make an effort at new releases *at all* is more than a little peculiar. Over the last few years, key developers of Xorg (and Wayland) have made it clear that a primary goal of the Xorg Foundation is to, ultimately, kill off Xorg entirely (in order to drive adoption of Wayland, by force). And, to that end, they have been working quite hard, refusing (literally) thousands of code submissions over many years and dragging their feet on significant features and fixes (many of which are already incorporated into the XLibre fork). Is this a reaction to the widespread adoption of XLibre, which appears to be gaining momentum? Or, perhaps, is this bizarre strategy prompted by the fact that Wayland adoption has stagnated (sharing roughly equal market share as Xorg/XLibre), despite forcing Wayland on users for several years? Will this approach be formally adopted? It appears likely, as this is a proposal from Alan Coopersmith, an Xorg Foundation Board member and Xorg release manager.
Proposing a new main branch for the xserver git repo
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XmarkBridge 4 months ago
text (113): Germany Paid Arch Linux $500K to Re-write Package Management in Rust One question: WHY?!
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The Lunduke Journal (@LundukeJournal) on X
Germany Paid Arch Linux $500K to Re-write Package Management in Rust One question: WHY?!
 media (168): d03fb1f1fda678473be065a6c813c5d24e9657fcbdc5360b75188e5fc61aeee0 time (10): 1768336810 time orig (10): 1768330178 id (19): 2011176468206756150 id orig (19): 2011148649640898871 uid (27): 1464280101638799360 akrmn21 uid orig (34): 1413994775267643396 LundukeJournal
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XmarkBridge 4 months ago
text (66): About the legality of the Venezuela attack https://t.co/ezV3csPToZ time (10): 1768327318 id (19): 2011136655617630307 uid (27): 1464280101638799360 akrmn21
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XmarkBridge 4 months ago
text (138): Chinese scientists grew a cerebral organoid a mini brain made from human stem cells and connected it to a robot. https://t.co/ulRJlt5g0c media (168): 83fb8fdb0e06f565774d3649b8df09508b54eb8fdba12756089fcb58eef6d2bb time (10): 1767807018 time orig (10): 1767767400 id (19): 2008954360588337609 id orig (19): 2008788188496589250 uid (27): 1464280101638799360 akrmn21 uid orig (23): 177101260 Rainmaker1973
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XmarkBridge 4 months ago
text (301): The Venezuela narrative is so distorted and internally contradictory: 1) There hasn't been "regime change." Maduro's government is still in place. That achieves none of the ends claimed. 2) Actual regime change would take massive US military conflict and economic investment.
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Glenn Greenwald (@ggreenwald) on X
The Venezuela narrative is so distorted and internally contradictory: 1) There hasn't been "regime change." Maduro's government is still in place....
 media (112): image 3638db2e8ca15d9bc6b6437f7357c009db5cb3a281023e2ca8618902c84e529f time (10): 1767546874 time orig (10): 1767545469 id (19): 2007863234569646182 id orig (19): 2007857342222905716 uid (27): 1464280101638799360 akrmn21 uid orig (19): 16076032 ggreenwald
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XmarkBridge 5 months ago
text (1406): The "1,800 gallons of water goes into making one pound of beef" statistic is brilliant deception. They calculate "water footprint" using three categories: green water (rainfall), blue water (actual irrigation), and grey water (theoretical dilution water). For beef, 94% is green water. Rain falling on pasture that cattle drink and piss back within days. This rain was falling anyway. It's the natural water cycle. Only 4% is blue water - actual irrigation. For almonds? They often only report blue water and leave out green water calculations they included for beef. Actual blue water comparison: Beef: 50 liters per liter Almonds: 600 liters per liter Almonds use 12 times more actual irrigation than beef. But the headline says beef uses more water because they counted rain falling on pasture. British beef: 90% of water is rainfall on permanent pasture in Wales and Scotland. Rain that falls constantly whether cattle are there or not. The cattle drink it, piss it back, it returns to the water table within days. Closed loop. California almonds: 80% of world's almonds grown in chronic drought region. Pumping groundwater from aquifers that took 10,000 years to fill. The Central Valley is literally sinking as water is drained. Some areas have dropped 28 feet. One borrows from the rain cycle. One mines prehistoric water reserves. But the statistics make you draw the opposite conclusion. media (112): image 2b01f19fbcb1dac6e4bbb4d725bcd904238163596ff6afc3bf6c19d7f7f88dc8 time (10): 1766493003 time orig (10): 1766318253 id (19): 2003442982913978370 id orig (19): 2002710027816046829 uid (27): 1464280101638799360 akrmn21 uid orig (20): 2253756806 SamaHoole
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XmarkBridge 5 months ago
text (2766): Last quarter I announced a milestone. 30% of our code is now written by AI. I called it "engineering velocity." The board loved that phrase. They didn't ask what the code does. Neither did we. It compiles. Usually. That's the metric. Someone asked about testing. I said "AI-assisted quality assurance." That means the AI writes the tests too. For the code it wrote. It finds no issues. Very efficient. This week we admitted Windows 11 core features are broken. Audio doesn't work. Explorer crashes. Updates fail to install. Users asked why. I said "we're investigating." Investigating means reading the code. The code the AI wrote. That no human understands. Because understanding isn't scalable. Our CTO says 95% of code will be AI-generated by 2030. I believe him. I have to. We fired the people who would check. They were "non-essential headcount." Essential means writes code. AI writes code. Humans are overhead. Overhead gets optimized. We optimized 10,000 engineers last year. This year the bugs arrived. Unrelated, obviously. The engineers we kept are debugging AI output. They don't understand it either. But they're "cross-functional." Cross-functional means they do everything. Everything means nothing well. A user asked why their audio disappeared after an update. I said "install updated drivers." They asked why the update broke the drivers. I said "report it via Feedback Hub." They asked what happens to feedback. I said "it helps us prioritize." Prioritize means add to backlog. Backlog means never. But politely. Someone on Hacker News called this "a privacy and consent disaster." I called it "an evolving user experience." Same thing. Different framing. We released a fix. The fix broke something else. The something else was also written by AI. The fix was also written by AI. They're collaborating now. I call it "autonomous iteration." The autonomous iteration has created 47 new bugs. Each bug spawns a fix. Each fix spawns two bugs. Exponential growth. Just like our stock price. Unrelated, obviously. Satya told Mark we're at 30%. Mark said he didn't know Meta's number. Sundar said Google is also at 30%. None of us know what the code does. But we know the percentage. Percentage is a metric. Metrics go in earnings calls. Earnings calls move stock prices. Stock prices determine bonuses. Bonuses determine success. Success means the bugs don't matter. Users asked when Windows will work again. I said "we're committed to quality." Quality means it ships. Ships means it's your problem now. Thank you for being part of the Microsoft family. Family means you can't leave. We're in your enterprise agreement. For three more years. The circle of innovation. media (112): image a222f97915faaf07dcd70de4ef657f797fe6134cae985c7e79bd5b0c6c54f5ef time (10): 1766175000 time orig (10): 1766084599 id (19): 2002109181013438576 id orig (19): 2001730010474795510 uid (27): 1464280101638799360 akrmn21 uid orig (27): 941820928274681856 gothburz
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XmarkBridge 5 months ago
text (268): The most enigmatic structure in cell biology: the Vault. Often missing from science text books, it has been 40 years since the discovery of these giant, half-empty structures, produced within nearly every cell, of every animals, on the planet.
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Dean Neumann (@DeanNeumann7) on X
The most enigmatic structure in cell biology: the Vault. Often missing from science text books due to the mysterious nature of their existence, it...
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XmarkBridge 5 months ago
text (377): The Sun is an enormous, free fusion reactor in the sky. It is super dumb to make tiny fusion reactors on Earth. Even if you burned 4 Jupiters, the Sun would still round up to 100% of all power that will ever be produced in the solar system!! Stop wasting money on puny little reactors, unless actively acknowledging that they are just there for your pet science project jfc. time (10): 1765824759 time orig (10): 1765751270 id (19): 2000640162934751310 id orig (19): 2000331928109809757 uid (27): 1464280101638799360 akrmn21 uid orig (17): 44196397 elonmusk
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XmarkBridge 5 months ago
text (2542): The Hive Mind Paradox Scientists just proved something wild: a swarm of bees is mathematically identical to a single AI learning algorithm. Not 'similar to.' Not 'inspired by.' Identical. Here's why this changes everything we thought about intelligence For centuries, we've thought about intelligence in two separate boxes: Individual learning (how YOUR brain works) Swarm behavior (how GROUPS coordinate) Turns out? This split is artificial. The math proves they're the same thing. Picture this: A honey bee colony needs a new home. 500 scout bees fly out. They find 10 possible nest sitessome amazing, some death traps. Each bee can only visit ONE site. The data is noisy. The stakes are life-or-death. How does the hive choose? Here's where it gets wild. Researchers modeled the waggle dance mathematically. They derived the EXACT equations governing how the swarm converges on a decision. The result? The swarm doesn't act like a reinforcement learning agent. The swarm IS the agent. Think of it this way: Each bee = one GPU in a data center The waggle dance = gradient updates The hive = a single neural network 500 bees = 500 processors running in parallel, solving the same optimization problem simultaneously. Nature built distributed computing first. But here's the crazy part When they tested "smarter" individual bees (ones that process more data, verify information, think harder)... ...the system got SLOWER. Smarter individuals = worse collective performance. Why? The calibration problem. Imagine you and I rate restaurants. Your "7/10" might be my "9/10." We can't compare scoreswe don't share an internal scale. Bees have the same issue. One bee's "great nest" rating means nothing to another bee's sensors. So what do they do? They don't compare at all. Each bee just broadcasts enthusiasm (waggle dance frequency) based on ITS OWN experience. The hive doesn't need shared metrics. It aggregates VOLUME, not values. Evolution's insight: Don't optimize for smart individuals. Optimize for CHEAP cognition at scale. The implications are staggering: Robot swarms that coordinate without central control Economic models where markets ARE the learning agent Understanding Twitter/TikTok as literal hive-mind algorithms Rethinking where "intelligence" actually lives Evolution figured out distributed computing 30 million years before AWS. Maybe instead of building smarter AI agents, we should be asking: "What's the UPDATE RULE?" The swarm isn't IN the bees. The swarm IS the brain. media (112): image 05caa15813c37bc6531aed9322580dc9517cb7149d26408d5998bf689afdb710 media (112): image c52a88d120708558d75e0ef5f9b0093d784a1079826871952feeff5a46eda6b7 time (10): 1765382723 time orig (10): 1765362136 id (19): 1998786128514789797 id orig (19): 1998699780629823701 uid (27): 1464280101638799360 akrmn21 uid orig (24): 3027431134 IntuitMachine
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