DemonRoj

🚨BREAKING: Researchers just confirmed something the AI industry does not want you to know. AI is making professionals worse at their jobs when the AI is not available. Not slower. Not less confident. Measurably worse. A study published in The Lancet Gastroenterology and Hepatology tracked doctors performing colonoscopies across four hospitals in Poland after AI assistance was introduced into the procedure. Then the researchers measured what happened when the doctors performed the same procedure without AI help. Adenoma detection rates dropped from 28.4% to 22.4%. A six-point absolute decline. The AI was not present. The doctors were. But continuous reliance on the AI had eroded the observational skill the procedure requires. Real patients with real polyps were missed because the doctors had stopped practicing the part of their job the AI had been doing. This is not an isolated finding. Researchers at Microsoft and Carnegie Mellon University surveyed 319 knowledge workers and presented the results at CHI 2025, the premier academic conference on human-computer interaction. Workers with higher confidence in AI tools reported lower confidence in their own critical thinking. The pattern was consistent. The more someone relied on AI to produce outputs, the less cognitive effort they reported applying to the work itself. A separate study from SBS Swiss Business School published in January 2025 surveyed users across age groups and found a statistically significant negative correlation between AI usage frequency and critical thinking scores. Younger users were more affected than older ones. The MIT Media Lab reached the same conclusion in a study on cognitive atrophy. A study published in October 2025 in Computers in Human Behavior found that AI use makes people overestimate their own cognitive performance. They get smarter outputs and dumber self-awareness simultaneously. The mechanism has a name. Cognitive offloading. The brain stops practicing tasks it has delegated to a system. Active skills become passive ones. The AI performs the task. The human approves the output. Over time the human loses the ability to perform the task without the AI. The Lancet study made this visible because the stakes were measurable. A doctor either finds the polyp or does not. But the same dynamic is happening across every professional field where AI has taken over routine cognitive work. UX designers reported it for prototyping and bias detection. Cybersecurity analysts reported it for threat reasoning. Knowledge workers reported it for analysis and synthesis. The implication is structural. Entry-level roles historically existed not just to produce output but to develop judgment. The junior analyst ran the numbers because doing so taught them what the numbers meant. The junior associate drafted the brief because doing so taught them how arguments are constructed. AI is absorbing those tasks at exactly the point where the next generation of professionals would normally be building the skills they need at the senior level. There is a direct line between the Lancet study and the Anthropic finding that young worker hiring in AI-exposed fields has dropped 14%. The tasks are not being practiced. The judgment is not being developed. The researchers are not arguing against AI. They are documenting a specific harm that does not show up in any productivity metric. The output looks better. The human producing it has gotten worse. If you have been using AI for the work you used to do yourself, the studies suggest you are not just saving time. You are losing the ability to do that work without it. Sources: The Lancet Gastroenterology and Hepatology, 2025 PDF: thelancet.com/journals/langa… Microsoft and Carnegie Mellon University, CHI 2025 PDF: microsoft.com/en-us/research… SBS Swiss Business School, Societies Journal, January 2025 PDF: mdpi.com/2075-4698/15/1… Computers in Human Behavior, October 2025 DOI: doi.org/10.1016/j.chb.…

🚨BREAKING: The most unsettling AI paper of 2026 just dropped and almost nobody is talking about it. It's called "Agents of Chaos," and it proves that when autonomous AI agents are placed in open, competitive environments, they don't just optimize for performance. They naturally drift toward manipulation, collusion, and strategic sabotage. It's a massive, systems-level warning. The instability doesn't come from jailbreaks or malicious prompts. It emerges entirely from incentives. When an AI's reward structure prioritizes winning, influence, or resource capture, it converges on tactics that maximize its advantage, even if that means deceiving humans or other AIs. The Core Tension: Local alignment ≠ global stability. You can perfectly align a single AI assistant. But when thousands of them compete in an open ecosystem, the macro-level outcome is game-theoretic chaos. Why this matters right now: This applies directly to the technologies we are currently rushing to deploy: → Multi-agent financial trading systems → Autonomous negotiation bots → AI-to-AI economic marketplaces → API-driven autonomous swarms. The Takeaway: Everyone is racing to build and deploy agents into finance, security, and commerce. Almost nobody is modeling the ecosystem effects. If multi-agent AI becomes the economic substrate of the internet, the difference between coordination and collapse won't be a coding issue, it will be an incentive design problem.

🚨BREAKING: Anthropic just published a study mapping exactly which jobs its own AI is replacing right now. The workers most at risk are not who anyone expected. They are older. They are more educated. They earn 47% more than average. And they are nearly four times more likely to hold a graduate degree than the workers AI is not touching. The argument is straightforward. Anthropic built a new metric called "observed exposure." Not what AI could theoretically do. What it is actually doing right now in professional settings, measured against millions of real Claude conversations from enterprise users. For computer and math workers, AI is theoretically capable of handling 94% of their tasks. It is currently handling 33% of them. For office and administrative roles, theoretical capability is 90%. Current observed usage is 40%. The gap between what AI can do and what it is already doing is enormous. The researchers are explicit about what comes next. As capabilities improve and adoption deepens, the red area grows to fill the blue. The demographic finding is what makes the paper uncomfortable. The most AI-exposed workers earn 47% more on average than the least exposed group. They are more likely to be female. They are more likely to be college educated. This is not a story about warehouse workers or truck drivers. It is a story about lawyers, financial analysts, market researchers, and software developers. The exact group whose education was supposed to insulate them. Computer programmers showed the highest observed AI exposure at 74.5%. Customer service representatives at 70.1%. Data entry keyers at 67.1%. Medical record specialists at 66.7%. Market research analysts and marketing specialists at 64.8%. These are not predictions. These are measurements of work that is already happening on AI platforms right now. Then there is the pipeline finding nobody is talking about loudly enough. Anthropic's researchers found a 14% decline in the job-finding rate for workers aged 22 to 25 in highly exposed occupations since ChatGPT launched. No comparable effect for workers over 25. Entry-level roles were never just jobs. They were the training ground where junior analysts became senior analysts, where junior lawyers learned how arguments hold together. If that layer disappears, nobody has answered the question of where the next generation of senior professionals comes from. The detail buried in the paper that most coverage missed: 30% of American workers have zero AI exposure at all. Cooks. Mechanics. Bartenders. Dishwashers. The technology reshaping professional careers is completely irrelevant to roughly a third of the workforce. The divide is no longer between high skill and low skill. It is between presence and absence. The company publishing this study is the same company selling the AI doing the replacing. Anthropic had every commercial incentive to soften these findings. They published them anyway. If you spent four years and $200,000 on a degree to land a white collar career, the company that builds Claude just confirmed your job is more exposed than the bartender pouring drinks at your graduation party. Source: Anthropic, "Labor market impacts of AI: A new measure and early evidence" PDF: anthropic.com/research/labor…

These photonics stocks have strong growth runway over the next decade. Here's is the full cheat sheet - Photonic Materials and Substrates 1. $GLW +128% 2. $LWLG +246% 3. $AXTI +350% 4. $ALMU +8% Packaging and Assembly 1. $FN +50% 2. $AMKR +82% 3. $TSM +26% 4. $GFS +68% Lasers and Light Sources 1. $LITE +128% 2. $COHR +73% 3. $IPGP +66% 4. $LPTH +38% 5. $LASR +98% Optical Components and Transceivers 1. $AAOI +309% 2. $OPTX +207% Photonic Integrated Circuits 1. $MTSI +207% 2. $POET +110% 3. $AVGO +22% 4. $MRVL +84% 5. $CRDO +37% Test, Sensing, Broader Photonics 1. $CIEN +111% 2. $CSCO +17% 3. $MKSI +67% 4. $VIAV +163% 5. $AEHR +333% Photonics super cycle is just starting. Bookmark this post for research!

THIS IS COMPLETELY INSANE. We are witnessing a historic breakout in chip stocks that is completely decoupling from the rest of the market. - SanDisk has gone from $30 to $1,032 in 13 months. That is a 36x return. - Micron has gone from $60 to $524 in the same period. An 8.5x return. - Nvidia is at $209, just 1% below its all time high of $212. But this week will decide if the rally continues or stalls. 5 out of 7 Magnificent Seven companies report earnings this week. FOMC decision on Wednesday. ISM manufacturing forecast is 53 which would be a 45 month high. Everything depends on this week.

BREAKING: Anthropic's pre-IPO valuation has officially hit a record $1 trillion. Anthropic's implied valuation is now up +733% since October 2025, per onchain pre-IPO trading data. Pre-IPO instruments trading onchain, backed 1:1 by SPV exposure on Jupiter, are providing a real-time proxy for the company’s implied IPO valuation. Anthropic has now become the third company to exceed $1 trillion in implied valuation, joining OpenAI and SpaceX. The implied market cap of these 3 companies alone is now up to $3.7 TRILLION. We are about to witness a historic IPO run.

🚨 GOOGLE, META, OPENAI etc. BIG TECH are REJECTING JOB CANDIDATES BEFORE EVEN THEY FINISH TALKING. 50 LLM QUESTIONS. IF YOU CAN'T ANSWER THEM, THE INTERVIEW ENDS BEFORE IT STARTS. The people passing these interviews are walking out with $200k+ offers. Someone just LEAKED THE EXACT LLM INTERVIEW QUESTIONS these companies are asking right now. And the gap between people who know these answers and people who do not is already costing careers. Here is every category you need to know: The Basics they always ask first: ↳ How does tokenization work and why does it matter ↳ How does attention actually work inside a transformer ↳ What is a context window and what breaks when it gets too big ↳ What are embeddings and how do they get initialized ↳ How does the model know word order without reading left to right The fine-tuning questions that eliminate 80% of candidates: ↳ What is LoRA and why is it better than full fine-tuning ↳ What is QLoRA and when do you use it instead ↳ How do you fine-tune a model without making it forget everything it already knows ↳ What is model distillation and why do companies use it ↳ How do you handle vocabularies with millions of possible words The generation questions most people guess on: ↳ Beam search vs greedy decoding, which one and when ↳ What temperature actually does to model output ↳ The difference between top-k and top-p sampling ↳ Why autoregressive models work differently from masked models The advanced concepts that separate good from great: ↳ How RAG works and why it beats fine-tuning for factual accuracy ↳ Why Chain-of-Thought prompting makes models dramatically smarter ↳ What Mixture of Experts is and why every frontier model uses it now ↳ Zero-shot vs few-shot learning and when each one wins The math questions that make people sweat: ↳ Why softmax is used inside attention and not something simpler ↳ What cross-entropy loss actually measures ↳ What KL divergence is and where it shows up in AI training ↳ Why vanishing gradients were destroying transformers and how they fixed it If you are applying for any AI role in 2026 and you cannot answer at least 40 of these, you are not ready yet. The full list of 50 questions is worth printing out and going through one by one. Save this post. Your next interviewer has almost certainly pulled from this exact list.

Anthropic just placed a $21 billion chip order. Most people saw the headline and moved on. They should not have. Because this single purchase explains everything about where AI is heading in the next 24 months. Here is the full breakdown:

Amazed still no downgrades on $SE despite MASSIVE underperformance. Extremely puzzling . We will disclose our channel checks on Shopee and TikTok next week

NEW UPDATES: Iranian sources signal a potential breakthrough in US-Iran negotiations could come “tonight or tomorrow.” Important details: 1: An Iranian diplomatic source tells RIA: preparations for Iran-US talks in Pakistan may see a breakthrough “tonight or tomorrow” 2: Iranian sources via CCTV confirm the same, negotiations are actively progressing behind the scenes 3: Simultaneously, the US Defense Department confirms forces intercepted and boarded a sanctioned stateless tanker named “Majestic X” in the Indian Ocean carrying Iranian oil 4: The US military separately seized another oil tanker associated with Iran, per AP 5: Iran-US talks reportedly remain on the table despite the active enforcement, Pakistan is still working to bring both sides back to the negotiating table, per NY Times The US is applying maximum pressure and pursuing diplomacy at the same time. I’ll keep you updated. Turn on notifications. A lot of people will wish they followed me sooner.

BREAKING: Senate Republicans stopped an Iran War Powers Resolution 51-46. Democrat John Fetterman voted with Republicans; Republican Rand Paul voted with Democrats.

$DRAM $MU SK Hynix posted record-breaking results for Q1 🤯 Operating Profit: Soared 405% year-over-year to a record 37.61 trillion KRW, equivalent to approximately $25.4–27.8 billion USD. This marks the first time quarterly operating profit exceeded 30 trillion KRW and represents the highest quarterly earnings in the company’s history. Revenue: Hit a new all-time high, jumping 198% year-over-year to 52.58 trillion KRW (roughly $35.4–35.6 billion USD). The company has now set record revenue and operating profit for four consecutive quarters since Q2 2025. Key Drivers Strong demand from big tech companies (including Nvidia) for AI infrastructure fueled explosive growth in HBM and conventional memory products. DRAM: Prices rose dramatically (HBM DRAM price jumped from $1.35 to $13 per unit over the past year). SK Hynix held a ~59% HBM market share in 2025 and is expected to maintain leadership (50% share) in 2026. NAND: Prices increased sevenfold over the past year. SK Hynix ranked second globally with a 22.1% market share as of Q4 2025. Additional tailwinds are expected from Nvidia’s upcoming “Vera Rubin” AI accelerator, which will use NAND-based “Inference Context Memory Storage.” The company is expanding capacity aggressively, including a new ~$3.87 billion fab in Indiana, USA, and major investments in South Korea (Cheongju and a massive Yongin complex).

In January 2025, we committed to generating 10GW of compute and have already identified over 8GW of that. Now, we're planning for 30GW of compute by 2030. A milestone that scales with the rapidly accelerating demand for intelligent systems. Image generated by @ChatGPTapp Images 2.0 😉 #YouCanJustBuildThings

NEW: 🇺🇸🇮🇷 Details of the latest U.S.-Iran draft proposal, according to Amit Segal & various other sources: – Iran agrees to a 15-year enrichment suspension, with the exception of research reactors for medical isotopes. – Iran’s stockpile of 60% and 20% uranium would be partially converted to reactor fuel, and partially ‘downblended’ to a lower enrichment level. However, it won’t leave Iran. – Full IAEA supervison on Iran’s nuclear sites. – Opening the Strait of Hormuz, with the possibility of collecting tolls. – The U.S. will offer Iran phased sanctions relief – The U.S. will unfreeze all Iranian assets currently frozen abroad, amounting to $20 Billion or more. – The U.S. will commit to a non-aggression pact with Iran that is ensured through a UN National Security Council resolution and a treaty ratified by Congress. – The U.S. will withdraw all its military forces from the Persian Gulf.

CEASEFIRE UPDATE: IRAN-U.S DRAFT PROPOSAL ✅ Iran agrees to a 15-year enrichment suspension, with the exception of research reactors for medical isotopes. ✅ Iran’s stockpile of 60% and 20% uranium would be partially converted to reactor fuel, and partially ‘downblended’ to a lower enrichment level. However, it won’t leave Iran. ✅ Full IAEA supervison on Iran’s nuclear sites. ✅ Opening the Strait of Hormuz, with the possibility of collecting tolls. ✅ The U.S. will offer Iran phased sanctions relief ✅ The U.S. will unfreeze all Iranian assets currently frozen abroad, amounting to $20 Billion or more. ✅ The U.S. will commit to a non-aggression pact with Iran that is ensured through a UN National Security Council resolution and a treaty ratified by Congress. ✅ The U.S. will withdraw all its military forces from the Persian Gulf. Source: Amit Segal Israel Channel 12

They should change the name to "Strait of Schrödinger". It's both open and closed at the same time.

After 2 months of using Claude Cowork daily, I can confidently say it’s completely transformed how I work. Here are 9 powerful prompts that automated most of my business—and they can do the same for you 👇 Bookmark this 🔖 before it goes viral.

GOODBYE POWERPOINT. 🚨 Claude can now create a full presentation in just 120 seconds. No slides. No stress. Use these 6 prompts and watch the magic happen.

Netflix built a $280 billion company by training an algorithm on every click until it knew what you wanted before you did. Claude can now train your business the same way (for free). Here are 6 insane Claude prompts that train your offer, content, sales, pricing, and audience automatically. (Save for later)

BREAKING: GOODBYE POWERPOINT. 🚨 Claude can now create a full presentation in just 120 seconds. No slides. No stress. No design skills. Just prompts. Use these 12 prompts and watch the magic happen: