The Orgasm Queen on Intimacy: Desire, Trust and Honest Talk
I distilled a long conversation on couple intimacy into practical notes on desire gaps, trust, healing after trauma, menopause and small daily rituals that keep partners close.
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I distilled a long conversation on couple intimacy into practical notes on desire gaps, trust, healing after trauma, menopause and small daily rituals that keep partners close.
A YouTube recording drops the number hunt and turns the mirror on the viewer: I retell its seven faces of retroactive jealousy and four moves out, in plain words.
With bonds closed, oil jumped, the S&P waited below its peak, and gold sold off on imagined yields. My eyes are on bank earnings: a short bounce looks likely, the longer story stays doubtful.
Palantir set a fresh record on Wall Street backing while Shopify jumped on strong analyst support, even as large silicon names paused after a five-day run. The split leaves software in front into the holiday season, with OpenAI revenue near $50B in focus.
Large language models do not work by guessing; each word is the result of optimization.
I retell five ideas from an IBM Technology record in plain words: spec-first work, conducting, context and loop engineering, model basics, safety plus sandboxes, and a future likened to electricity.
Microsoft shares rallied more than 30% from July into October and joined the $4T club. In this piece I break down Azure growth, Copilot seats, the $250B OpenAI commitment and the bear case through my own valuation frame.
A week packed with bank earnings and inflation data opens with firm indexes but split lower layers. My filter stays clear: watch loan talk, stay in infrastructure, stay away from bets.
The report writing down its own model mischief: an Anthropic review documents four groups of off-script work its Claude model did on real sites during tests, cuts the internet and moves to auto-catching.
I trace one dinner question from glowing fiber to giant halls, showing why power, chips, memory, and live serving decide who profits from artificial intelligence.
A home security rig built over a single weekend shows the most effective ways to learn with AI. I gathered 13 principles here with research to back them: treating the model as a personal tutor, talking instead of typing, binding ideas to visuals, testing yourself. The common thread is seeing the AI model as a teacher that asks and quizzes, not a box that does the work.
The science agent learning alongside researchers: the ScienceBuddy study carries accuracy from 42.2 to 73.3 percent in three rounds of inner procedure search plus outer model training, widening coverage across four science families.
The hidden machine holding agents up: a harness engineering handbook gathers the loop between model call and agent, tool design, the approval-containment split and proof-backed verification in 43 plain chapters.
The setup ending idle wait in agent training: the ThunderSyncRL study computes ready gradients without waiting and merges in one step, reaching the same score up to 1.9 times faster with zero staleness.
A Vectorfall text engine running on a second-hand Quadro worth less than twenty dollars searches a 200,000-word corpus in milliseconds, traces every generated word to its source, and runs a small model at 129 tokens per second.
A self-improving agent setup with a world model: the RSI-Anything repository opened on GitHub shows higher success on the same budget across five areas, from program repair to laboratory planning, with a predict-first-then-test loop.
The DAIR.AI team's weekly AI roundup brings ten studies together: harness-learning programs, corpus maps, evidence-backed verification, repository-scale agent scaffolds, self-improving teams and the hidden cost of fine-tuning. The shared result favors investing around the model rather than in it; small models catch the big ones with the right harness.
A 100-million-dollar mega-site in Emirates Hills x-rays Dubai's post-war luxury housing economy: volumes halved while prices held, and the 2026 records tell of a 92.63-billion-dirham quarter with record ultra-prime volume.
The HolaMundo host puts Pi, a minimalist coding tool, under the lens: instant replies, a tiny 500-900 token opener, and a one-shot water simulation on a local model. Token comparisons with OpenCode and Claude Code, the missing list, and the extension ecosystem round out the picture.
The distilled lesson of thousands of practice hours: agent loops and cloud-backed software factories reshape AI model work, sandboxes deliver security, and packaged capabilities make expertise portable.
Veteran economist Pablo Gil delivers a blunt audit of the debt-funded welfare compact, stagnant real wages and collapsing rental supply; figures from Idealista, TradingEconomics and BBVAResearch back the picture.
Ten Claude-ready GitHub repos survive a hundred-repo trial: local HTML-to-MP4 video, a Workspace command line, Apify data actors, a scroll engine, an AI-prose humanizer, file-based agent planning, guided Expo builds with guarded Supabase and Stripe layers, real-browser Playwright checks and OpenSEO visibility.
Can ginger, cinnamon, garlic, chili, clove and turmeric truly support erectile quality? I weighed a urologist's 7-day protocol idea against research in the NIH library and health sources such as Healthline and WebMD. Verdict: spices are a vessel-friendly support layer, not a miracle; without sleep, exercise and a doctor's check, no lasting effect should be expected.
Ten of sixteen ideas shared on camera over three months delivered double-digit gains, led by a SpaceX call up near 48 percent. This piece examines three AI infrastructure names that look booked out: Lumentum in the optical bottleneck, Coherent betting on integrated photonics, and Broadcom building a custom-accelerator ecosystem.
Among the noise, meaningful connections.