Here you go:
If we want a safe transition to a post labor economy within a decade, we need to stop treating automation like a weird side issue.
It should be the center of politics.
Policy package:
Universal basic income tied to AI productivity gains.
Public AI infrastructure so intelligence is not only rented from giant companies.
Shorter work weeks before mass layoffs force the issue.
Worker owned automation funds so regular people own part of the machine economy.
Cheap housing, healthcare, energy, and education, because abundance means nothing if basic life still costs too much.
Real AI safety rules for systems running finance, infrastructure, medicine, and government.
The goal is simple:
If machines do more of the work, humans should get more freedom.
Not more fear.
If we want a safe transition to a post labor economy within a decade, we need to stop treating automation like a weird side issue.
It should be the center of politics.
Policy package:
Universal basic income tied to AI productivity gains.
Public AI infrastructure so intelligence is not only rented from giant companies.
Shorter work weeks before mass layoffs force the issue.
Worker owned automation funds so regular people own part of the machine economy.
Cheap housing, healthcare, energy, and education, because abundance means nothing if basic life still costs too much.
Real AI safety rules for systems running finance, infrastructure, medicine, and government.
The goal is simple:
If machines do more of the work, humans should get more freedom.
Not more fear.
✍1
🇨🇭 Global One SI - Prompt
$SNAP/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
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$SNAP Evan Spiegel showing off the new Specs AR glasses to the public for the first time.
🇨🇭 Global One SI - Prompt
$SNAP Evan Spiegel showing off the new Specs AR glasses to the public for the first time.
Snap intentionally looks the way it does so that they can squeeze in as much tech as possible. The big story here is 51° FOV waveguides, which is equivalent to a 24 inch monitor at arms length distance. In 2 years, 51° will become industry standard, and in 5 years, 70° will enter the market. In the long run, birdbath optics used in Viture and Xreal are NGMI.
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🇨🇭 Global One SI - Prompt
panthalassa.com
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🚨 BREAKING : Thiel-backed startup Panthalassa is building a $1B vision for ocean-based AI data centers.
Its proposed Ocean-3 platform would host AI infrastructure at sea using wave energy for power and seawater for cooling potentially reducing reliance on land power grids and traditional data center facilities.
Its proposed Ocean-3 platform would host AI infrastructure at sea using wave energy for power and seawater for cooling potentially reducing reliance on land power grids and traditional data center facilities.
🇨🇭 Global One SI - Prompt
🚨PRECIOUS METALS ARE CRASHING. Over $1.74 TRILLION has been wiped out from precious metals in the last 24 HOURS. Gold is down -4.75%, wiping out $1.41 trillion from its market cap. Silver is down -9%, wiping out $327 billion from its market cap.
Anyone checked in on Schiff? 😂😂😂
🇨🇭 Global One SI - Prompt
Polymarket Weather Strategy: How Profitable Traders Actually Read Model Runs Raw ECMWF or GFS output is never the final picture The most profitable weather traders on Polymarket approach forecasts differently They don’t take model data at face value. Instead…
Near-Resolution Edge on Polymarket: How to Trade the Last 6–18 Hours Using Live METAR and Squeeze Almost Risk-Free Profit (NEAR-LOCK STRATEGY)
The cleanest and most stable edge on Polymarket weather markets appears in the last 6–18 hours before resolution
At this point the daily high is almost fully formed, uncertainty drops sharply, and the market is often still trading with a lag
Classic diurnal temperature cycle. Peak usually occurs between 14:00–16:00 local
After that, station observations become much more reliable than models
> Why the final hours are the golden zone
• In most cities the daily temperature peak falls between 14:00–17:00 local time
• After that, fresh METAR observations from the resolution station show the real picture
• Even HRRR is already lagging, while retail and weak bots continue trading based on morning forecasts
Result: winning buckets are often priced at 65–85¢ when the real probability is already 92–97%
> How it works in practice
1. Monitor live data from the resolution station
Use aviationweather or Open-Meteo METAR API - this is data exactly from the airport Polymarket resolves on (KLGA, EGLC, LFPB, VHHH, etc.)
2. Calculate remaining upside potential
• If it’s already 15:00–16:00 local and current temperature + typical daily dynamics don’t allow +2–3°F more - probability of upper buckets collapses
• If temperature is still rising or sitting near the upper limit - lower buckets become almost free
3. Simple entry rule
When current observed high + expected remainder of the day gives >90% probability, but the market is trading at 70–80¢ - buy aggressively
Risk is minimal because there’s almost no time left for surprises.
Real example (NYC, KLGA, yesterday’s market):
• 15:40 local: station already showed 84.2°F, forecast for the rest of the day +0.8°F max
• 84–85°F bucket was trading at 68¢
• Resolved at 84°F → 100¢
• Edge caught ~4 hours before resolution, almost risk-free
> Mini-formula for the bot
remaining_potential = forecast_max_remaining + diurnal_adjustment
prob_bucket = calculate_prob_from_current_and_remaining(observed_high, remaining_potential, historical_variance)
if prob_bucket > 0.92 and market_price < 0.82 and hours_left < 18:
enter_long() # or short overpriced buckets
Add cloud cover/wind check from TAF - this significantly increases accuracy
> When this edge works best
• Summer days with a clear diurnal cycle (NYC, LA, London)
• Transitional days with fronts (when models are uncertain and observations decide everything)
• Only Today markets (D+0) - here near-resolution gives the highest hit-rate and almost risk-free profit
This approach barely competes with latency bots and combines perfectly with calibration edge
Many top bots collect the bulk of their daily profit exactly in the final hours, because there’s the least noise and the maximum real information
Save this post so you don’t lose it!
The cleanest and most stable edge on Polymarket weather markets appears in the last 6–18 hours before resolution
At this point the daily high is almost fully formed, uncertainty drops sharply, and the market is often still trading with a lag
Classic diurnal temperature cycle. Peak usually occurs between 14:00–16:00 local
After that, station observations become much more reliable than models
> Why the final hours are the golden zone
• In most cities the daily temperature peak falls between 14:00–17:00 local time
• After that, fresh METAR observations from the resolution station show the real picture
• Even HRRR is already lagging, while retail and weak bots continue trading based on morning forecasts
Result: winning buckets are often priced at 65–85¢ when the real probability is already 92–97%
> How it works in practice
1. Monitor live data from the resolution station
Use aviationweather or Open-Meteo METAR API - this is data exactly from the airport Polymarket resolves on (KLGA, EGLC, LFPB, VHHH, etc.)
2. Calculate remaining upside potential
• If it’s already 15:00–16:00 local and current temperature + typical daily dynamics don’t allow +2–3°F more - probability of upper buckets collapses
• If temperature is still rising or sitting near the upper limit - lower buckets become almost free
3. Simple entry rule
When current observed high + expected remainder of the day gives >90% probability, but the market is trading at 70–80¢ - buy aggressively
Risk is minimal because there’s almost no time left for surprises.
Real example (NYC, KLGA, yesterday’s market):
• 15:40 local: station already showed 84.2°F, forecast for the rest of the day +0.8°F max
• 84–85°F bucket was trading at 68¢
• Resolved at 84°F → 100¢
• Edge caught ~4 hours before resolution, almost risk-free
> Mini-formula for the bot
remaining_potential = forecast_max_remaining + diurnal_adjustment
prob_bucket = calculate_prob_from_current_and_remaining(observed_high, remaining_potential, historical_variance)
if prob_bucket > 0.92 and market_price < 0.82 and hours_left < 18:
enter_long() # or short overpriced buckets
Add cloud cover/wind check from TAF - this significantly increases accuracy
> When this edge works best
• Summer days with a clear diurnal cycle (NYC, LA, London)
• Transitional days with fronts (when models are uncertain and observations decide everything)
• Only Today markets (D+0) - here near-resolution gives the highest hit-rate and almost risk-free profit
This approach barely competes with latency bots and combines perfectly with calibration edge
Many top bots collect the bulk of their daily profit exactly in the final hours, because there’s the least noise and the maximum real information
Save this post so you don’t lose it!
✍1
🇨🇭 Global One SI - Prompt
Datacenter power requests have crossed a terawatt, nearly the size of the entire US grid.
$SPCX / $RKLB / $RDW: Imagine what this means for the future of Orbital Data Centers...
Bullish for space solar 👀
Bullish for space solar 👀
🇨🇭 Global One SI - Prompt
🚨 BREAKING : Thiel-backed startup Panthalassa is building a $1B vision for ocean-based AI data centers. Its proposed Ocean-3 platform would host AI infrastructure at sea using wave energy for power and seawater for cooling potentially reducing reliance on…
$IREN $NBIS $VRT $ETN $MOD | Peter Thiel backed startup Panthalassa introduced a wave powered floating platform named Ocean-3 to host offshore AI data centers.
Operating with no anchors, the untethered system runs internal water turbines to generate clean electricity.
Operating with no anchors, the untethered system runs internal water turbines to generate clean electricity.
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Me pretending my boss's joke is the funniest thing I've ever heard so he'll approve my holiday leave this week