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Michael Porter Jr. says the 20% tipping culture is out of control and you shouldn’t have to tip $600 on a $3,000 meal “If you spending $3,000 on a meal, you shouldn’t have to tip $600, twenty percent” “Uber Eats is another thing. If the Uber Eats order is $250, why are you still tipping 20% when they’re doing the same amount of work as if you ordered a $20 meal. They still just bringing the meal to you” “I would say tipping culture is definitely out of control. But I’m a bad tipper, I ain’t going to lie”

#Polymarket’s# monthly user retention outperforms more than 85 percent of 275 sampled crypto projects, including DeFi protocols, wallets, and exchanges. While many platforms lose users after the first month, its cohorts show meaningfully higher rates of return trading.— Large early trades above the 90th percentile and at least $100 achieve only a 52.3 percent hit rate on final outcomes. That is a statistically detectable but economically modest edge over the roughly 50 percent baseline of all resolved trades. In the 2024 presidential markets, about 40 percent of traders participated exclusively in Trump contracts, and 71.8 percent touched Trump YES at least once. Only 0.7 percent of participants were active across more than two candidates, revealing extreme specialization rather than broad portfolio trading. — Kyle’s lambda in the same election market fell from roughly 0.518 in the early months to about 0.01 by October. As volume expanded, the market’s vulnerability to price impact declined by more than an order of magnitude. — Trading activity in the final quarter showed a clear intraday pattern, peaking between 09:00 and 20:00 UTC. The most frequent traders displayed even sharper concentration during U.S. market hours. — Across resolved markets since 2023, overall predictive accuracy on @Polymarket sits near 73 percent and rises to roughly 84 percent in markets exceeding $100,000 in volume. Only about 3.4 percent of markets faced formal disputes, most of them triggered by ambiguous wording rather than contested facts.

#Titans# QB Will Levis says he’s “100 percent” a starting QB in the NFL. “There are not 32 quarterbacks in this league better than me. … I know I’ve put the tape out there already that I’m a dang good quarterback in this league.”

grok plugin marketplace add 7etsuo/write-legible-c grok plugin install write-legible-c --trust Grok Build with Grok 4.5 is producing the most beautiful C I have ever seen come out of a model. Every function under 25 lines with one job. Nesting never past depth 2. Zero naked literals. Every failure greps to a single producing line and the happy path runs straight down the left margin. Code you can read at 2am with the pager going off. It took a standard to get there. I shipped it as a Grok Build plugin. write-legible-c gates Grok with strict C11 machine legibility every time it touches a .c or .h file. Every function is an orchestrator, a leaf, or an adapter, never a mix. A TRY macro that makes the forgotten check bug impossible to hide. An 18 item checklist the model runs before it shows you code. Clean code is a performance feature too: rewrites that cut model perceived complexity lift LLM task performance by up to 21 percent. Full 18 section standard inside.

Chinese memory chipmaker ChangXin Memory Technologies (CXMT) surged 465.82 percent to 49 yuan (7.22 USD) on its Shanghai STAR Market debut Monday from its IPO price of 8.66 yuan. It closed with a market capitalization exceeding 3.2 trillion yuan, becoming the largest A-share company by market value. The listing is expected to raise more than 66 billion yuan, the largest IPO in the history of China's sci-tech innovation board. Read more:

Simulation mode RELEASED Trade Polymarket against the real order book - real spreads, slippage, fees, and resolution - with none of your money at risk. Practice execution, BBO limit, split/merge, risk, discipline and percent sizing. Full breakdown in the podcast link below.

On July 14, the Department of the Navy released its Strategy to Weaponize Data and AI: a roadmap to an AI-first Fleet that can "out-learn and out-fight any adversary." Within a week, our team answered with working code. The Navy's new strategy frames data and AI as warfighting assets on par with weapons and munitions, and it prizes one thing above all: turning information into decisions, fast. That is exactly the problem our GURU architecture was built for. So when two Navy SBIR topics called for AI-driven maritime tracking and adaptive sensor management, we pointed at the sea what we had already proven in orbit. The video below shows both prototypes, back to back. First, GURU MarineGuard: 787 real vessels from public NOAA data, replayed through a cascade of learned models that forecast each ship's movement, flag deviations from its learned pattern of life, and hand analysts a ranked review queue instead of an unfiltered flood. The full stack runs on a laptop. Second, an adaptive sensor resource manager add-on to MarineGuard: it measures each radar's marginal contribution to each track, projects the consequence of releasing a sensor task before proposing it, and then waits for the operator. Advisory by design. Both inherit their DNA from OrbitGuard, our system watching 14,710 space objects at the SDA TAP Lab with 94 to 96 percent maneuver-detection accuracy. Same architecture, new domain, days not years. These are prototypes, and we say so on screen. The trajectories are real. The sensor numbers are deliberately notional. No score is a threat call. Showing your assumptions is a capability, not a caveat, and national-security guidance now demands exactly that: AI that is reliable, robust, steerable, and controllable under rigorous test and evaluation. Our doctrine was written for that bar. Learned models accelerate and rank. Validated references confirm and decide. Humans stay in command. One architecture. Space, maritime, autonomous engineering, regulated nuclear autonomy. This is simply the latest sign of what this team fields, fast, where mistakes are not allowed. Sailors, engineers, program folks: what mission should GURU learn next? #DefenseTech# #ArtificialIntelligence# #MaritimeDomainAwareness#

The 400-foot tall SpaceX Starship rocket launched Friday on a closely-watched test flight, taking off from Texas and splashing down about an hour later — 10,000 miles away. It was the company’s first test flight since SpaceX went public on Wall Street — marking the largest IPO in history. But the company's stock is now down nearly 29 percent. Mark Strassmann has a closer look at what's at stake.

Ethereum has climbed roughly 12% over the past 30 days, posting nine consecutive days of gains to reclaim the $1,900 level after bottoming near $1,565 in late June. ETH remains well below its January high near $3,355, but the consistency of this move, steady, not spiky, suggests more than a one-off bounce. Ethereum (ETH-USDT is above the 7-day moving average -> bullish, and is above the 30-day moving average -> bullish, with 1 week change of +1%) ETH ETF recorded renewed positive net capital inflows alongside expanded corporate treasury holdings. Major financial institutions increased their deployment of tokenized assets and custom chains built on the network. Liquid supply tightened further as the percentage of total Ether locked in staking reached a new high. Migration to Layer-2 scaling solutions reduced base gas fees, slowing overall fee burning. Core developers advanced testnet trials for the Glamsterdam protocol upgrade. The question is whether this grind higher can continue or is due for a pause. Where do you see ETH heading from here? #Ethereum# #Crypto# #DigitalAssets# #MarketAnalysis#

Leslie Kean's research suggests 90-95% of UAP sightings have ordinary explanations like weather balloons, planes, or atmospheric phenomena. What percentage could be advanced technology or, less likely, extraterrestrial. Full episode: @michaelshermer