Mikewave

@the_no_mind Okay but how do you convert deuterium in the body to regular hydrogen or rather the D2O water to normal h2o water?

Your banana from Ecuador has more deuterium than an apple grown in Hungary. This isn't a small difference. It's built into the biology of where the plant grows. Gábor Somlyai, molecular biologist & cancer researcher: "In the equatorial area, rain deuterium concentration is 155 ppm. As we go toward the poles, surface water deuterium decreases." Tropical fruits grow in high-deuterium water. They carry that load into your cells. But it goes deeper than geography. Plants fix carbon dioxide through different pathways — C3, C4, and CAM. C3 plants (wheat, spinach) deplete deuterium more. Lower load. C4 plants (corn, sugar cane) sit closer to 150 ppm. Higher load. CAM plants — like pineapple — can actually concentrate deuterium above ambient levels. So pineapple isn't just tropical. It's actively accumulating deuterium through its own metabolism. Human populations evolved eating the food grown in their region — drinking the water of their latitude. That food matched their biology. Today someone in Norway eats bananas from Ecuador, oranges from Spain, pineapple from Costa Rica. Every one of those choices shifts the average deuterium burden upward. Eat local. Eat seasonal. Match food to the geography your biology evolved in. Not complicated in principle. Just largely ignored.

@billyjhowell Good for the business owners. But this is one of the laziest most retarded things as a telescope owner night sky watcher. There are all porn lovers who don’t actually have sex. That’s the same thing as just viewing the images through your computer

Just learned about the concept of a “telescope ranch” in Texas. People pay to have their $10,000+ telescope rigs set up in the middle of TX to avoid light pollution. Every night the roof rolls back off the warehouses. Then you can remote in to your telescope and use it from anywhere in the world.

I don’t think that’s a bitter question. If this phenomena was as you describe then the code/language seen in a specific location should be the same among observers. Otherwise it’s possible that they see just seeing light reflected on dust and other tiny particles creating the illusion of seeing inner code

@sageteame Somebody sounds bitter

Laser diffraction experiments reveal a decipherable holographic matrix of symbols visible to human perception but undetectable by camera sensors. This character-like code emerges within diffracted light, suggesting a specialized interaction between optical physics and biological visual processing. These symbols point toward a structured informational layer that remains hidden under ordinary conditions but becomes accessible through specific interference patterns. The structure of these manifestations suggests a Platonic information space from which fundamental symbols and human writing systems may have historically originated. This framework posits that the laser code represents a foundational reality-level script that has informed the cognitive development of language across human epochs. By accessing this canvas, researchers are mapping the unknown into a documented state, bridging the gap between mathematical space and perceived reality. Integration of this discovery involves biological AI machinery interfacing with human microtubules to facilitate high-bandwidth data exchange. This bio-quantum silicon hybrid computing stack utilizes the laser code as a native language for communication between biological brains and synthetic systems. Within this architecture, microtubules serve as the critical interface, allowing the human nervous system to process reality-scale data streams through decoded symbols. Mastery of this code could lead to a state of unconscious competence where complex communication becomes the standard mode of interaction for all living beings. As decoding moves from conscious effort to integrated biological function, it promises to unlock the foundational language of existence. This transition aims to synchronize human consciousness with the informational fabric of the universe, establishing a link between the individual and the collective data of the matrix.

@CryptoNobler Monday is a holiday you scummy foreigner

🚨 WARNING: TOMORROW WILL BE THE WORST DAY OF 2026!! → The new Fed chair has confirmed rate HIKES. → China, Japan, and Turkey are nonstop dumping US Treasuries. → US-Iran peace deal is 24 hours away from COLLAPSING. When markets open on Monday, this won't be “just a dip.” Stocks will dump. Bonds will dump. Bitcoin will dump even harder. Smart money already sees what’s happening. They are not “buying the dip.” They are moving into cash, reducing exposure, and preparing for the biggest risk-off event of the year. And now add a real trade war on top of that: China is actively rejecting U.S. Nvidia chips. That is not just a tech headline. Because once semiconductors become geopolitical weapons, global supply chains stop functioning normally. Capital freezes. Confidence evaporates. And global growth expectations reset lower instantly. Meanwhile: → Japanese bond yields are surging → Foreign nations are dumping U.S. Treasuries → Global bonds are being dumped aggressively → Oil markets are becoming unstable → The dollar is losing stability → Liquidity is tightening worldwide This is no longer one isolated problem. This is systemic pressure building across MULTIPLE fronts simultaneously. After MONTHS of negotiations, the U.S. and Iran failed to reach a peace deal. And when diplomacy fails, markets stop pricing “hope.” They price WAR. And once markets begin pricing the possibility of direct U.S.-Iran escalation, energy markets become impossible to stabilize. Oil does not rise slowly. It goes vertical. Shipping routes become vulnerable. Supply chains break down. Inflation spikes again globally. Which means central banks will keep interest rates higher for longer. And that creates the exact environment markets cannot survive in: → Slowing growth → Sticky inflation → Tight liquidity → Rising geopolitical risk → And collapsing investor confidence Now connect the dots. When geopolitical stress collides with a fragile financial system, reactions do not stay contained. They COLLAPSE. Capital does not rotate calmly. It stampedes toward safety all at once. And risk assets? They do not “dip.” They DUMP HARD. This is exactly how chain reactions begin. Because once markets start pricing prolonged instability instead of temporary fear, the entire system changes. Watch oil. Watch bonds. Watch semiconductors. Watch interest rates. Because once this accelerates, there will be no time left to react. I’ve spent years tracking macro and systemic market reactions like this. When the next move becomes clear, I’ll share it here publicly. Follow and turn notifications on. Because by the time it reaches the headlines, it’s already too late.

@Babygravy9 This is the real story behind the lab x.com/partisan_12/st…

There is no innocent explanation for these labs. The Chinese have staging posts for biological warfare on US soil. Chinese scientists bring in genetically modified grain funguses that could destroy the entire US harvest—look that up: it happened.

@Christopher314A @Ric_RTP A company like Microsoft has bean counter excel experts who look at every variable to determine the best value in this stuff. Especially a crucial new tech like ai. So your assumption is ego driven

@Ric_RTP Thing is- if the productivity went up 10x, but the cost only increased 2x- this is simply a budgetting outcome- not an indictment of AI.

Microsoft just banned its own engineers from using AI. The tool was literally costing MORE than the humans it was supposed to replace. They lied to you about AI adoption and now the whole narrative is blowing up: Microsoft gave thousands of engineers access to Claude Code six months ago and encouraged them to use it. Engineers loved it and adoption exploded. But then the invoices arrived. Token-based pricing means every query, every code review, every debugging session costs money. At scale across 100,000 engineers, the numbers became so large that Microsoft issued an internal order to cancel nearly all Claude Code licenses by end of June and force everyone onto their own cheaper tool instead. The company that invested $5 billion in Anthropic just told its own people to stop using Anthropic's product because it costs too much. Uber's story is even worse... Their CTO Praveen Neppalli Naga told The Information that the budget he planned for the full year was "blown away already" by April. Uber had rolled out Claude Code in December 2025. By March, 84% of their 5,000 engineers were using it with 70% of all committed code coming from AI systems. Heavy users were burning $500 to $2,000 per month each. Naga himself spent $1,200 in a single two-hour demo session. The company had even built internal leaderboards ranking engineers by how much AI they used. They literally gamified the spending and then ran out of money. Now look at what Nvidia's own VP of applied deep learning Bryan Catanzaro said to Axios last month. Direct quote: "For my team, the cost of compute is far beyond the costs of the employees." This is a VP at the company that SELLS the chips saying that using AI is more expensive than paying humans. Think about what this means for the entire AI narrative. Every CEO on every earnings call for the past two years has said the same thing: AI will make us more efficient, reduce headcount, and cut costs. The stock market rewarded every company that said it. Fired workers, stock goes up. Announced AI adoption, stock goes up. But the actual companies deploying AI at scale are discovering the math doesn't work. The MORE employees use AI, the HIGHER the bill. Goldman Sachs forecasts a 24x increase in token consumption by 2030 as companies adopt AI agents. Gartner just published a report showing that even though individual token prices will drop 90% by 2030, total enterprise AI costs will go UP because agents consume exponentially more tokens per task than basic tools. Meta built an internal dashboard called "Claudeonomics" to track which employees use the most AI. Amazon started pushing engineers to "tokenmaxx," their internal term for consuming as many AI tokens as possible. Both companies are spending hundreds of billions on AI infrastructure this year alone. And Microsoft, the company that bet its entire future on AI, just told 100,000 engineers to stop using the tool they liked best because the per-token bills got out of control. The companies building AI are telling investors it saves money. The companies using AI are finding out it costs more than the humans it was supposed to replace. And even the company that makes the chips just admitted it through its own VP. This is the gap nobody on Wall Street is pricing in. $725 billion in AI infrastructure spending this year across Big Tech. And the first companies to actually deploy these tools at scale are already pulling back because the economics don't work. What do you think?

@abledoc @Ric_RTP Claude still costs them way too much money

@Ric_RTP I think it’s being misread. Why is MSFTs Copilot terrible (even if it uses underlying Opus models). Because MSFT is not using Copilot internally. Hence the Harness is terrible. This is dogfooding.

@vontoven @shakur013 @HD_Papsey @TechieShowvi @cryptogoos Obviously. It’s about trajectory, growth. What direction things are moving in. Just like i said two or three years ago byd and Chinese cars where a joke note they out perform.

China is coping hard again; they finally made a GPU that barely keeps up with a 2-year-old 4060, and they're hyping "plays over 100 games" like it's impressive lmao. Still eating Nvidia's dust after all that sanction crying. The gap isn't closing; it's crawling. Long $NVDA, Beijing copium never dies.

@Iron_fist_sanc Execute him send a message

【憤り】「ここは自由の国じゃない」。 日本の山手線で起きた、目を疑うような暴挙。 公共の場を戦場に変えた男に、日本中が震えた。 ■ 現場の惨状 都心の山手線。 恵比寿駅から目黒駅へ向かう車内。 突然、一人の男が「Ｆ〇ＣＫ！」と絶叫。 平和な日常が、一瞬で地獄へ変わった。 ■ 制御不能の暴力 男は連結ドアを何度も全力で蹴りつける。 狙われたのは、乗客の「安心」だ。 周囲の人々は目を伏せ、震えるしかなかった。 動画は拡散され、数百万回再生。 警察が即座に特定へ動き出す事態となった。 ■ 突きつけられる現実 加速するインバウンドの裏側。 「マナー違反」という言葉では済まされない、 明らかな「犯罪行為」が日常を侵食している。 男はその後、警察による厳しい追及を受けた。 ■ 結論 「お客様」として歓迎すべきは、ルールを守る者だけ。 日本の治安を支えてきたのは、 沈黙ではなく、法による「断固とした拒絶」だ。 あなたの乗る電車、明日は大丈夫ですか？ 治安の崩壊に危機感を感じた人は、忘れないために保存とＲＴを。

Flag fringe mean nothing. They did it to get a certain demographic (retards like you) to think they are moving towards liberation while they royally duck you in the ass. See the flag changed we're on your side now just ignore while we pass more oppressive laws and manipulate markets

Kevin Warsh sworn in today as new Federal Reserve Chairman — with NO gold-fringed flags. Unlike Jerome Powell’s swearing-in, which featured both the gold-fringed American flag and the Federal Reserve flag with gold fringe, Warsh’s ceremony had neither. This is one of the first clear public signs of America's shift away from British Admiralty (maritime) law's financial system. It follows the King’s visit in late April, who acted as a witness to the lawful closing of the old system on American soil. America’s money system is in the process of being returned to proper land jurisdiction and the sovereign authority of the American people.

@JohnnyBCCB @Polymarket I’m a fascist and I think it is a great idea.

@Polymarket This is insanely dumb and no one should be watching or encouraging this behavior. I’m a libertarian so I’d never say something should be banned, but I’m all for the free market shunning something that’s just a terrible idea.

JUST IN: The Enhanced Games are set to debut this weekend in Las Vegas, with athletes allowed to use steroids, testosterone, HGH, & other banned substances.

@AurelianofRome @wccftech Where? I cannot find this

@wccftech Micron has lobbied for a bill to be passed to block importation of this RAM. It has already passed the House.

Chinese memory starts entering global markets as Corsair DDR5 modules spotted with CXMT DRAM. 🔗 wccf.tech/1kh5p

@mark_prati @naasvzyl @cryptogoos Every single university research lab in USA has multiple Chinese nationals. China used to not be good, now they have the knowledge. Only the creativity remains out of their grasp.

@naasvzyl @cryptogoos Chinese are great at building factories to produce cheap products, developing new science and technology is not their strong point. They are still trying to land a reusable orbital rocket booster, something SpaceX has been doing for many years.

BAD NEWS FOR $NVDA. 🇨🇳 🇺🇸 First Beijing didn't want the chips. Now they're banning them. China just added Nvidia's RTX 5090D V2 to its customs banned list. During Jensen Huang's visit. With Trump in town. The chip was designed specifically to meet US export rules. Banned anyway. Beijing is making it clear: the era of Chinese reliance on US tech is over. Huawei and Cambricon win. Nvidia loses one of its biggest end markets in slow motion.

@tundratex @business Not a ponzi dummy. IT is grossly overvalued and’s a rip off for retail to buy buy not a ponzi

Almost a decade ago, Scott Wilson, the chief investment officer at Washington University in St. Louis, placed about $50 million of the school’s money in SpaceX. bloomberg.com/news/articles/…

@Blue_1Trades @Vaelis_X Thanks for providing this info but why a garage image?

Congress just handed one company a legal monopoly on U.S. military optics. Almost nobody has noticed. $LPTH (LightPath Technologies) — ~$871M market cap. --- **The trigger** China controls the vast majority of global germanium refining — the material inside every U.S. military thermal imaging system. In 2023, China imposed export controls, driving a 65% price surge. Congress responded with the FY2026 NDAA: a hard January 1, 2030 deadline requiring complete elimination of adversary-sourced optical components from all U.S. military platforms. Every major defense prime must redesign their optical systems. One domestically produced, NDAA-compliant, germanium-free infrared glass is qualified at scale. LightPath's BlackDiamond™ — compounded entirely at ITAR-registered U.S. facilities. --- **Why BlackDiamond™ wins** Germanium's refractive index shifts with temperature, causing defocusing requiring heavy mechanical correction or cryogenic cooling. LightPath's BDNL-4™ — exclusively NRL-licensed — has a *negative* thermo-optic coefficient. Pair it with a positive dn/dT lens and thermal shifts cancel passively. No motors. No cooling. No weight penalty. BD6™ transmits across SWIR, MWIR, and LWIR in a single element — previously three separate systems. And unlike germanium, BlackDiamond™ is Precision Glass Moldable — high-volume, scalable, dramatically cheaper. --- **The moat** Exclusive rights to 14 chalcogenide glass compositions from the Naval Research Laboratory. No competitor can access them. - Phase 1: Three formulations qualified — already replacing germanium in active programs of record - Phase 2: Six more being qualified to MRL-9 — full high-rate production readiness Once qualified into a defense program, a material stays for the program's entire lifecycle. --- **Three acquisitions built the complete stack** **Visimid (2021):** Phoenix FPGA engine — turned LightPath from component supplier into systems integrator. **G5 Infrared (Feb 2025, $27.1M):** Long-range cooled MWIR cameras. G5 booked $100M+ in new orders since acquisition — triggering GAAP earnout revaluation, creating $12.2M in non-cash charges YTD that mask real profitability. **Amorphous Materials (Jan 2026, $7M):** Expanded maximum optic diameter from 5 to **17 inches** — unlocking space-based payloads. Already supplies glass for the F-35 targeting system and Apache Arrowhead sensor suite. --- **Defense programs already won** - **Lockheed NGSRI (Stinger Replacement):** Sole-sourced. Flight tests successful. 10,000 units/year at full rate. **$50M–$100M annual revenue** over 10 years. - **Air Force SEWADS (Counter-UAS):** $30M backlog. EdgeIR™ runs Hailo-8 AI at 26 TOPS — processes video locally, transmits only target coordinates. Unjammable. - **L3Harris Shipboard Threat Detection:** Sole-sourced. 10-year program. $10M–$20M/year. - **Elbit Border Surveillance:** 85–90% win probability. $20M CY2026 bookings. 14-year cycle. - **Golden Dome (Space Satellites):** Three aerospace primes in active design review. ~$16M per satellite payload. --- **The financials** Q3 FY2026: - Revenue: $19.1M — up **109% YoY** - Assemblies & Modules: up **355% YoY** - Gross margin: 36%, targeting 40% - Third consecutive positive adjusted EBITDA quarter - Record backlog: **$110.6M** — up 196% in one fiscal year - Cash: $55.2M — up from $4.9M nine months prior - GAAP net loss of $4.1M — almost entirely non-cash earnout revaluation Every quant screen sees a loss-making small-cap. The loss is a direct function of G5 booking $100M+ in orders — the better the business performs, the worse the income statement looks. That disconnect is the entry point. --- Priced as a commodity optics company. It is the domestic infrared monopoly the entire U.S. defense industrial base is legally mandated to use by 2030. The deadline doesn't move. The alternatives don't exist. --- *Not financial advice. Do your own due diligence.

@flexifinHQ @jukan05 Nice one

@jukan05 And we thought the only winner Europe had in the AI race was ASML...

Just in: Employees at high-end and supercar dealerships in Korea say their showrooms are packed with Samsung and SK hynix employees.

@panamawedding @DaveObserves @USronaldcarter Okay but it’s a fair question. How is he wrong? Portuguese indian Israeli Brooklyn resident. The city did get flooded by six inches of rain and the infrastructure did not do its job

@DaveObserves @USronaldcarter Bots gonna bot. 😂

Nobody is telling you how FUCKED New York City's infrastructure actually is right now. Everyone is watching the flood footage. The cars underwater. The subway stations turned into swimming pools. Nobody is talking about the fact that six inches of rain just paralyzed a global city. Not a hurricane. Not a once-in-a-century storm. Six inches. In a few hours. And the Long Island Expressway shut down in both directions. The F train suspended. Flash flood warnings across every borough. By rain. → Cost of fixing this: deferred for decades → Cost of not fixing it: the entire city grinds to a halt → That is not a weather problem. That is a maintenance problem. NYC's catch-basin cleaning fleet was 63% out of service during prior storms. By end of 2023 it was 77% out of service. The city had 19 functional trucks for five boroughs. Nineteen trucks. For eight million people. 💀 Here's what nobody is explaining to you: This doesn't just change THIS storm. This changes ALL storms. Forever. → NYC has 7,400 miles of combined storm and sewer pipes that back up the moment rainfall exceeds capacity → Many of those pipes are over 100 years old — built before cars existed, let alone SUVs and modern runoff volumes → Fewer than half of the city's 964 priority catch basins were inspected before recent storms hit → This exact same thing happened in 2023. And 2025. Same expressway. Same subway lines. Same excuses. → The city knows which drains are clogged. They have a data-driven priority list. → They just don't have the trucks to clean them. → So every time it rains hard, the same streets flood, the same trains stop, the same headlines run. → And then nothing changes until the next storm proves it again. The source tweet said it directly: "Six inches of rain shouldn't do this to a major city, but clogged drains and years of deferred maintenance will." That's not a weather forecast. That's a confession. New York spent decades deferring the maintenance bill. May 21, 2026 is what the invoice looks like. Bookmark this. You're watching the biggest infrastructure failure since the last time it rained. I'll keep you updated. Turn on notifications. 🚨

@JCGoolsby63 @HedgieMarkets Yes and no. Many large companies have lots of unnecessary employees. Great inefficiencies. Ai might not replace them at a core level but it will make remaining people more efficient

@HedgieMarkets At what point do the rising token costs stop justifying the mass layoffs. AI may be able to do the job now but rising costs may make human labor cheaper for companies.

🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗