"Think twice"

i don't even think once

Space data centers are not impossible. Elon’s timeline is the bullshit part.

Google is actually working on this. Even its optimistic analysis says launch prices need to fall below $200 per kg before orbital compute starts looking competitive. Today they are still in the thousands, and Google projects that threshold only by the mid 2030s.

Then comes the engineering. Space is cold, but a vacuum cannot carry heat away. Every watt from a GPU must ultimately leave through massive radiators, and nothing close to data center scale has ever flown. Add radiation, shielding, huge solar arrays, extreme bandwidth requirements and hardware failures.

On Earth, technicians replace dead GPUs. In orbit, dead hardware stays dead unless you launch replacements or develop autonomous repair systems that do not exist at this scale. Meanwhile, new AI hardware arrives every year.

Flying a prototype next year is believable. That proves a chip can run in space. It does not prove orbital data centers make economic sense.

Commercial scale is a mid 2030s project at the absolute earliest, probably later. Right now this is investor fan fiction.

AI agents will save us so much time that we’ll finally have enough time to supervise the AI agents.

$ASML $INTC $WDC $SNDK $MU | DigiTimes reports next generation HBM4 prices could double to $4 or $5 per gigabit by 2027 amid structural capacity constraints.

The extreme four-to-six-month processing cycles limit aggregate output across memory fabrication plants.

$ASML $INTC $MU $STX $WDC | SK Hynix CEO Kwak Noh Jung warns that the global memory chip crunch will extend beyond 2030, with 2027 tracking as the worst supply year on record.

Buyers accelerate long term agreement signings to capture guaranteed allocation.

Your Weather Model Is Wrong in a Predictable Way (and That's the Edge)

people assume a "good" weather model means an accurate one

that's not quite it. the edge isn't raw accuracy - it's knowing exactly how your model is wrong, and correcting for it

[ the thing nobody adjusts for ]

every forecast model has systematic bias that's specific to city, season, and lead time

GFS commonly runs a couple degrees warm in some US cities in summer

the same model can run cold in winter in the same city
ECMWF is generally stronger 3-10 days out but less reliable same-day in certain regions

if you're taking raw model output and comparing it straight to the market price, you're not finding real edge - you're finding your model's blind spot

[ how professional forecasters actually correct for this ]

this isn't guesswork, it's a known technique - a decaying (exponentially weighted) average of recent forecast errors, the same core method NWS uses to bias-correct MOS output

> for the city + lead time you trade most, log forecast vs actual observed high every day
> each day, error = forecast − observed
> your running correction updates as: new_correction = α × (today's error) + (1 − α) × (yesterday's correction)
> α controls how much weight recent errors get - higher α reacts faster to fresh bias, lower α is more stable but slower to catch drift. most operational setups land somewhere around 0.1-0.3
> apply: corrected forecast = raw forecast − running correction

this is different from a flat average because bias drifts - model versions get upgraded, seasons change the error profile

a decaying average automatically weights recent behavior more than data from two months ago

on tight 1-2 degree buckets this correction alone can turn a marginal, break-even setup into a real one

[ why most people skip this step ]

it's boring. comparing raw forecast to price feels like enough work already

but raw model output vs market price is the setup everyone else is already doing - the correction step is where the actual edge lives

[ the honest limitation ]

bias correction is a slow-moving edge. it won't create huge dislocations, it just nudges marginal setups into profitable ones.

Once you've corrected for bias, check if the market already agrees with you

Market Strength in Parity shows how sharp traders (10k$+ PnL, 100k$+ volume) are positioned across Yes/No on that specific market

> Stacked on your side → independent confirmation your correction is picking up something real, not noise in your own sample

> Stacked against you → worth pausing before you size up

Check where sharp money actually sits on a market 👇

predictparity.com

Definitely raiding an island somewhere

TeraWulf $WULF coordinates a $3.5B debt raise through Morgan Stanley to fund an advanced 401MW Kentucky AI data center campus for Anthropic.

The multi megawatt campus will host core Anthropic deep learning models by late 2027.

If you're wondering where to start with incorporating AI into your trading, you'll want to save this.

How to build a performance review dashboard with Claude (step-by-step)

Europe's trade deficit with China is not evenly spread.

It is concentrated in exactly the sectors China targeted.

1. Electrical machinery: deficit widened past 150 billion euros.
2. Organic chemicals: nearly 40 billion.
3. Lithium-ion batteries: over 20 billion, and accelerating.
4. Electric vehicles: from near zero to 8 billion in 6 years.

This is not diffuse trade imbalance.
It is dual circulation working exactly as designed.

Even Russian media is now confirming the disruption.

Rybar reports the Azov-Don Canal has been suspended.

Freight costs and insurance premiums are rising, delivery times are stretching, and fewer captains are willing to run the route at all.

Crimea depends on maritime transport for most of its supply.

This is not Ukrainian claims anymore. This is Russia's own press describing a logistics system breaking down.

US strikes just hit Iranian military sites on Qeshm Island, Iran's largest island in the Persian Gulf and the anchor for its coastal defense, radar, and naval assets near Hormuz.

Earlier strikes looked restrained.
These look methodical.

Deliberate targeting of coastal defense infrastructure is preparation for something bigger.

$SPCX $RDW $ASTS $RKLB $PL | SpaceX requests FCC permission to deploy 100,000 next generation Gen3 Starlink satellites in very low Earth orbit.

The massive orbital expansion relies completely on heavy lift Starship launches to construct an AI data architecture.

China holds the 5th most gold on Earth.
It's still just 8.8% of its reserves.

Tonnes held vs share of total reserves:
🇺🇸 US: 8,133.5t, 83.1% of reserves
🇩🇪 Germany: 3,349.5t, 82.8%
🇮🇹 Italy: 2,451.8t, 79.1%
🇫🇷 France: 2,437.0t, 80.5%
🇨🇳 China: 2,346.4t, just 8.8%
🇷🇺 Russia: 2,292.3t, 44.4%

Tonnage and dependence aren't the same thing.

China owns more gold than Russia, but leans on it at a fraction of the rate.

US airstrike reportedly landed near Iran's Bushehr nuclear plant, its only operational reactor.

Iranian authorities say operations were not disrupted.

This is a different category of risk than anything the market has priced this week.

Strikes on refineries and tankers move barrels.

A strike near an active reactor moves survival calculus. Oil is not the number to watch right now.

Just when you think the market can't get any crazier