IN A CONNECTED WORLD
Multiple perspectives. One place.
Your curiosity, your daily feed.
For you enables ranking by explicit follows and saved stories; marked-as-read history is used only with reading memory enabled. Last 48 hours first, then the last 7 days. Latest turns personalization off.
Scarface Trades traces his path from $500 to a $25,000 live account over seven years and flips the speed paradox: the fastest way to get good is not chasing shortcuts but running the same boring system in the first 90 minutes every day, built around the pre-market box and the break-and-retest.
Julian Goldie SEO's AI sales coach inside Agent OS, built with GPT-6 Astra, reads Google Drive calls nightly, scores them against the sales playbook, and shows by morning who needs coaching on what — with a swappable brain and shared Obsidian memory.
Veteran contrarian Jason Shapiro unpacks the most crowded trades from the global bond selloff to Bitcoin's cycle; why NASDAQ and the S&P are not a classic bubble, why COT misbehaves in energy, and how to read asymmetric risk in agriculture and copper.
Evan Carmichael’s 3-hour compilation starts from the financial literacy gap — only 27% of more than 25,000 adults get 5 of 7 basic questions right in FINRA’s study — and weaves Damon John’s $40-to-$800 hats, a $100,000 house mortgage, 27 bank rejections and Samsung’s $5M-in-3-years clause that turned into $30M in 3 months into a single practical framework of a 20-minute weekly 3-number routine and 5% compounding that turns $10,000 into $16,000 in 10 years and $43,000 in 30.
Nolan Matthias explains why 2020's six-month rebound taught a dangerous lesson to a new investor cohort, how 1929's 89% collapse and 25-year recovery rewired a generation's attitude to debt, and why FOMO-driven leverage today makes the next crash the most generationally risky.
Andrew Ng hosts and JetBrains' Paul Everitt teaches a 76-minute course that replaces messy one-shot prompts with a living spec; via YouTube — DeepLearningAI: Full Course Spec-Driven Development it demonstrates the constitution, branch-per-feature and human-in-the-loop verification loop on the Agent Clinic example.
On Sept 22 the Nasdaq set a second straight record up 0.5% while the S&P 500 closed flat and the Dow slipped 0.4%; Brent fell to $99.25 on Saudi East-West pipeline tests and Trump's UN message that the war will end more quickly anchored the session.
Elon teased Grok 4.7 for a month as the model that would beat everything; SpaceXAI calls it its most capable for coding and knowledge work at the same price and speed as 4.6, yet Theo - t3.gg shows tokens doubling to 81k, $3.74 per task, and tighter quotas undermining the efficiency story.
After months of sideways chop, AI benchmarks including SOXX, SMH and AIQ are breaking key ceilings, and Luke Lango flags five names from AMD to Qualcomm as the best ways to play the melt-up.
Prompt Engineering presents Opus 5.5 as beating Fable and Astra on Terminal-Bench 4.0 at lower spend, pairing top agentic scores with sharply more natural prose, a modest API price trim and a new banked quota reset.
In his September 21 week update, Fundstrat's Tom Lee dissects the Fed's first hike in three years at the September FOMC through three stated reasons — a strong economy, slow progress toward 2% inflation, and a geopolitical oil shock — and argues the opposite: a September 30 BEA PCE methodology shift, about 100 basis points of one-off inflation set to fade, and an oversold tape turn peak hawkishness into a positive risk/reward setup.
The Nemotron Labs session on NVIDIA Developer showed why AI agents need structured skill packages, not just documentation. More than 300 verified skills across 30+ NVIDIA products were measured with the open-source SkillEvaluator in controlled with-skill vs without-skill runs on two harnesses, lifting average Correctness from 46 to 87.
David Carbutt's video centers on Epirus' microwave system Leonidas downing 49 drones in one pulse and asks the real question: how do Palantir and Anduril get paid from a weapon they don't build? The answer splits in two — Anduril's Lattice in the sensor-to-shooter network and Palantir's Warp Speed on the factory floor — one proven by an $87 million first order in March 2026, the other on the production line since March 2025.
Jerry Romine argues the Fed’s September 2025 Summary of Economic Projections pushes the 2% target to 2029, keeps policy at 4–4.25% and ends cheap money; he shows how a $500M loan taken at 2–3% in 2020–21 costs $25M more a year when refinanced at 8%, how $60–80B hyperscaler AI capex drains liquidity for small caps, and why cash-rich fortresses like Vertiv (VRT) pull away.
Chip Stock Investor is hedging AppLovin's peak 77.7% operating margin and 66% free-cash-flow margin by rebuilding a position in Unity Software. With Liftoff Mobile's Blackstone-backed IPO and Digital Turbine recovering, pricing pressure in mobile ad tech is rising, while Unity 7's AI flywheel and a Take-Two bet on console migration form a two-way basket for a video-game recovery.
Distilled from seven years of live trading, Scarface Trades' system strips away indicators and reads price through a single candle level, using Apple’s rising lows and Tesla’s falling highs to frame a repeatable first-hour play on the 1-minute chart that anchors entries on the highest down-close candle and demands at least 2R on every trade.
The model called ‘Cev’ in Doruk Yalçınsoy’s video is actually Jev — TypeSafe AI’s System One decision engine. It triaged 50 emails in 42 seconds at 800 ms per verdict, answered 7 questions in 6 seconds versus 5 minutes for GPT 5.6, and passed a live urgency test in 0.8 seconds at 97% confidence.
Xiaomi’s MiMo v2.6 family — Pro and Flash — chases the top open-model slot with 46 points on the Artificial Analysis Intelligence Index after a 6-day live reinforcement-learning run; weights and training code are on Hugging Face, while the 310-billion-parameter Flash sibling runs on 15 billion active parameters, fitting two DGX boxes.
IBM Technology argues in a tight 10-minute thesis that while eyes are fixed on agents themselves, the real upheaval is in the layers around them: data is being unified, systems are being made machine-readable, apps are being wired together, and access to technology is being democratized. Even if agents don't stick around, the foundations they force into place will.
With M3 Ultra and new M5 Ultra side by side, I tested Apple’s claims of up to 4.3× AI, 2× storage and 1.2 TB/s bandwidth on identical models and stacks; results largely confirm marketing, but the felt gain depends on prompt length.
Nearly twenty years as a Chicago market maker, two billion-dollar companies and a single thesis: volatility measures expectation. In his latest talk Tom Sosnoff explains in four parts why volatility is not just a risk gauge but a compass for opportunity, fragility and capital efficiency.
With Microsoft, Google, Amazon and Meta spending about 165 billion dollars in Q2 2026 alone, AI has shifted from a software story to an infrastructure race built on chips, data centers and power; as Washington and Beijing elevate it to strategic level, stopping starts to look riskier than overspending.
Scanning 40,000 job ads with a daily system, Baraa maps the AI engineer role — from most-wanted skills and day-to-day tasks to salary bands — into a practical roadmap.
On Marketing Against the Grain, HubSpot turned a 140-million-visit collapse — traffic down 80% while demand rose 20% — into LOOP, the four-step cycle (Express, Tailor, Amplify, Evolve) that reframes marketing for 2027.
Among the noise, meaningful connections.
