Most people compare AI tools like this:
Claude AI = smart
Perplexity AI = search
But after using both for months…
I realized Perplexity Computer can actually save far more time.
Here’s why 👇 Save this for latter 🔖
1. Problem with traditional AI workflows
If you use Claude for research, usually you have to:
Search Google
Open multiple articles
Copy the information
Paste it into Claude
Ask it to summarize
That’s 5 steps.
2. Perplexity changes this workflow.
Instead of doing all that:
You just ask one question.
Perplexity will:
• search the web
• analyze sources
• summarize the answer
• show citations
All in one step.
3. Example
Ask Claude:
Latest AI startup funding trends
You often still need to bring the sources yourself.
Ask Perplexity the same question:
You get
• sources
• summaries
• links to articles
• follow-up questions
Instantly.
4. Why this matters
For creators, founders, and researchers:
Time = leverage.
Saving even 30–60 minutes a day on research adds up quickly.
. Where Claude still wins
Claude is excellent for:
• long-form writing
• deep analysis
• complex reasoning
It’s one of the smartest models available.
6. But Perplexity Computer is becoming something different:
AI + Search Engine + Research Assistant.
That combination makes it extremely practical for daily work.
7. My current workflow:
Research → Perplexity
Writing / thinking → Claude
Best of both worlds.
Claude AI = smart
Perplexity AI = search
But after using both for months…
I realized Perplexity Computer can actually save far more time.
Here’s why 👇 Save this for latter 🔖
1. Problem with traditional AI workflows
If you use Claude for research, usually you have to:
Search Google
Open multiple articles
Copy the information
Paste it into Claude
Ask it to summarize
That’s 5 steps.
2. Perplexity changes this workflow.
Instead of doing all that:
You just ask one question.
Perplexity will:
• search the web
• analyze sources
• summarize the answer
• show citations
All in one step.
3. Example
Ask Claude:
Latest AI startup funding trends
You often still need to bring the sources yourself.
Ask Perplexity the same question:
You get
• sources
• summaries
• links to articles
• follow-up questions
Instantly.
4. Why this matters
For creators, founders, and researchers:
Time = leverage.
Saving even 30–60 minutes a day on research adds up quickly.
. Where Claude still wins
Claude is excellent for:
• long-form writing
• deep analysis
• complex reasoning
It’s one of the smartest models available.
6. But Perplexity Computer is becoming something different:
AI + Search Engine + Research Assistant.
That combination makes it extremely practical for daily work.
7. My current workflow:
Research → Perplexity
Writing / thinking → Claude
Best of both worlds.
✍2
🎗️ "Medium-Sized" LLM Burners Coming Soon! 🔥
This Could Make Local HyperToken Generation a Reality. ⚡️ NVIDIA’s worst nightmare? 😱
⚙️ Application-Specific Hardware
Taalas new PCIe ASIC board would burn the entire medium-sized Qwen 3.5-27B LLM straight into silicon 🤯 (already doing it with small models)
Taalos said medium models on ASIC would be available in their lab by Spring '26.
💭Imagine:
🚫 No more loading weights
🚀 ~10,000 Tokens Per Second locally (Llama 3.1 8B already @ 17,000 tps)
💻 Standard PC slot, ultra-low power (10x less) 🔋
🌍 100% offline with no cloud, no GPU farm
💰 Reddit unit cost rumor $300 to $400
🖥️ Imagine HyperToken generation on your desktop.
🤖 AI agents that think at light speed. ⚡️ Are you ready?
This Could Make Local HyperToken Generation a Reality. ⚡️ NVIDIA’s worst nightmare? 😱
⚙️ Application-Specific Hardware
Taalas new PCIe ASIC board would burn the entire medium-sized Qwen 3.5-27B LLM straight into silicon 🤯 (already doing it with small models)
Taalos said medium models on ASIC would be available in their lab by Spring '26.
💭Imagine:
🚫 No more loading weights
🚀 ~10,000 Tokens Per Second locally (Llama 3.1 8B already @ 17,000 tps)
💻 Standard PC slot, ultra-low power (10x less) 🔋
🌍 100% offline with no cloud, no GPU farm
💰 Reddit unit cost rumor $300 to $400
🖥️ Imagine HyperToken generation on your desktop.
🤖 AI agents that think at light speed. ⚡️ Are you ready?
👀1
🔥 AMD’s Ryzen AI Halo PC official updates
⭐ What We Now Know
📅 June 2026 → First Ryzen AI Halo launches
• $3,999 at Micro Center only
• Ryzen AI Max+ 395 (Strix Halo)
• 128 GB unified memory
• Up to 200B parameter models locally
🎯 Q3 2026 → Big refresh (Gorgon Halo)
• Ryzen AI Max PRO 400 Series
• Up to 192 GB unified + 160 GB VRAM
• Up to 300B parameters
• Flagship: 16C/32T • 5.2 GHz • Radeon 8065S (40 CUs) • 55 TOPS NPU
Full ROCm stack • Windows + Linux • Agent Computers focus
This is $AMD’s push into high-end local AI dev hardware.
⭐ What We Now Know
📅 June 2026 → First Ryzen AI Halo launches
• $3,999 at Micro Center only
• Ryzen AI Max+ 395 (Strix Halo)
• 128 GB unified memory
• Up to 200B parameter models locally
🎯 Q3 2026 → Big refresh (Gorgon Halo)
• Ryzen AI Max PRO 400 Series
• Up to 192 GB unified + 160 GB VRAM
• Up to 300B parameters
• Flagship: 16C/32T • 5.2 GHz • Radeon 8065S (40 CUs) • 55 TOPS NPU
Full ROCm stack • Windows + Linux • Agent Computers focus
This is $AMD’s push into high-end local AI dev hardware.
✍1
The AI Revolution is transforming South Korea's economy:
South Korea's exports surged +52.6% YoY in the first 20 days of May, the strongest reading on record.
This marks an acceleration from the already massive +49.4% gain seen in the first 20 days of April.
This is also the 4th consecutive month with growth of at least +40.0%.
The surge was driven by semiconductor exports that soared +202.1% YoY, fueled by AI and data center investment demand.
Furthermore, shipments of computer-related products surged +305.5%, underpinned by continued investment in AI infrastructure.
On an unadjusted basis, exports rose +64.8% YoY, with imports up +29.3%, leaving a trade surplus of $11 billion.
South Korea's economy has never been hotter.
South Korea's exports surged +52.6% YoY in the first 20 days of May, the strongest reading on record.
This marks an acceleration from the already massive +49.4% gain seen in the first 20 days of April.
This is also the 4th consecutive month with growth of at least +40.0%.
The surge was driven by semiconductor exports that soared +202.1% YoY, fueled by AI and data center investment demand.
Furthermore, shipments of computer-related products surged +305.5%, underpinned by continued investment in AI infrastructure.
On an unadjusted basis, exports rose +64.8% YoY, with imports up +29.3%, leaving a trade surplus of $11 billion.
South Korea's economy has never been hotter.
🔥1
🇨🇭 Global One SI - Prompt
$OKLO continues to prove why it remains one of the market’s favorite AI-energy infrastructure names. Despite today’s pullback, the bigger picture still stands out: • nuclear renaissance narrative • AI electricity demand growth • data center power infrastructure…
Bank of America initiates Oklo $OKLO with a Buy rating and sets price target at $80.
The analyst notes that Oklo's vertically integrated build-own-operate model positions it as an early leader to capture premium AI data center demand.
The analyst notes that Oklo's vertically integrated build-own-operate model positions it as an early leader to capture premium AI data center demand.
🇨🇭 Global One SI - Prompt
$MU/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI 📈 Trading Analysis Report 🔍 Summary Insights: • Trend: Bullish • Volatility: High • Volume: Medium • Market Sentiment: Bullish • Confidence Score: 0.85 🎯 Game Plan: Chart 1: Consider…
Micron $MU begins manufacturing advanced 1a DRAM chips at the upgraded facility in Manassas, Virginia.
The expansion quadruples domestic DDR4 wafer supply to support critical long lifecycle needs across the defense and auto sectors.
The expansion quadruples domestic DDR4 wafer supply to support critical long lifecycle needs across the defense and auto sectors.
🇨🇭 Global One SI - Prompt
The world's largest data centers tell you what fuels them. China Telecom + China Mobile: both in Hohhot, Inner Mongolia ...China's coal heartland. US: Nevada, Utah, Atlanta, Chicago mainly gas. US AI runs on gas. Chinese AI runs on coal. The map is the…
🚨This AI data center in Utah produces the thermal energy of 23 atomic bombs ─ EVERY DAY!
It spans over 40,000 acres.
It spans over 40,000 acres.
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Muscle-Computer Interface + Robot Hand: Entering the Cyborg Era
This carbon-fiber bionic hand--the PSYONIC Ability Hand doesn’t just give amputees near-natural dexterity. It’s already being used on Apollo, AEON, and other humanoid robots for real tasks, making true human-machine shared use a reality.
Now, the Ability Hand has taken another huge leap: near thought-controlled operation.
Thanks to Phantom Neuro, an Austin-based startup, their Muscle-Computer Interface (MCI) makes it possible.
With a quick 15-minute minimally invasive outpatient procedure, tiny sensors are implanted under the skin into the residual limb muscles.
These sensors wirelessly read muscle electrical signals (EMG) in real time and translate your intention into precise actions--gripping, rotating the wrist, pinching, and even flipping the middle finger.
Even better: you can still wirelessly control devices even when the hand is removed.
Compared to Neuralink’s brain implants that require skull surgery, Phantom Neuro’s muscle interface is lower risk, faster to deploy, and far more practical for most amputees.
Tester Alex (who lost his right arm at age 11) now uses the hand fluently in everyday life, with impressively smooth control.
Human-machine fusion might not start in the brain after all… but in the muscles.
This carbon-fiber bionic hand--the PSYONIC Ability Hand doesn’t just give amputees near-natural dexterity. It’s already being used on Apollo, AEON, and other humanoid robots for real tasks, making true human-machine shared use a reality.
Now, the Ability Hand has taken another huge leap: near thought-controlled operation.
Thanks to Phantom Neuro, an Austin-based startup, their Muscle-Computer Interface (MCI) makes it possible.
With a quick 15-minute minimally invasive outpatient procedure, tiny sensors are implanted under the skin into the residual limb muscles.
These sensors wirelessly read muscle electrical signals (EMG) in real time and translate your intention into precise actions--gripping, rotating the wrist, pinching, and even flipping the middle finger.
Even better: you can still wirelessly control devices even when the hand is removed.
Compared to Neuralink’s brain implants that require skull surgery, Phantom Neuro’s muscle interface is lower risk, faster to deploy, and far more practical for most amputees.
Tester Alex (who lost his right arm at age 11) now uses the hand fluently in everyday life, with impressively smooth control.
Human-machine fusion might not start in the brain after all… but in the muscles.
🇨🇭 Global One SI - Prompt
Photo
Here are the 10 Best GitHub Weather Bots for Polymarket Right Now (Beginner to Advanced)
I went through dozens of repositories and filtered out the ones that are actually usable in 2026
From simple ready-to-run setups to serious multi-model ensembles with Kelly sizing and live execution - here’s what’s worth your time
> Beginner-friendly / quick start
1. MoonsatProtocol/Polymarket-Weather-Bot: TypeScript, Kelly Criterion sizing, scans NWS forecasts, finds mispriced temperature markets, simulation mode + JSON logs. Has a paid advanced version
Repo: github.com/MoonsatProtocol/Polymarket-Weather-Bot
2. MusicBoiyzzz/Polymarket-Weather-Bot: same Kelly + NWS stack, focus on easy setup, ships with a ready-to-run .zip
Repo: github.com/MusicBoiyzzz/Polymarket-Weather-Bot
3. hcharper/polyBot-Weather: designed for regular hardware (Mac Mini, home PC). Gaussian probability model on NOAA data for weather markets. Also covers crypto via Black-Scholes and binary arbitrage. Copy trading built in. Streamlit dashboard
Repo: github.com/hcharper/polyBot-Weather
> Multi-model ensemble (serious edge)
1. alteregoeth-ai/weatherbot: pure Python, three forecast sources: ECMWF, HRRR for US cities, METAR observations. Scans temperature markets, enters when EV is positive. Kelly sizing + simulation mode
Repo: github.com/alteregoeth-ai/weatherbot
2. AadiXD200/polymarket-weather-bot: autonomous quant bot, multi-model ensemble forecasting, Kelly sizing, live CLOB execution. One of the more complete implementations.
Repo: github.com/AadiXD200/polymarket-weather-bot
3. yangyuan-zhen/PolyWeather: monitors 52 cities, uses DEB (Dynamic Error Balancing): blends multiple model forecasts weighted by recent accuracy per city. Generates calibrated probability buckets, scans for mispricing. Web dashboard + Telegram bot
Repo: github.com/yangyuan-zhen/PolyWeather
> GFS ensemble specialists
1. suislanchez/polymarket-kalshi-weather-bot: trades Polymarket and Kalshi simultaneously. Uses 31-member GFS ensemble from Open-Meteo, converts ensemble agreement into probability, enters when edge vs market price exceeds 8%. React dashboard, FastAPI backend, SQLite tracking.
Repo: github.com/suislanchez/polymarket-kalshi-weather-bot
2. kylecwalden/polymarket-sniper-bot: sniper bot with a dedicated weather strategy using GFS 31-member ensemble. Also includes crypto strategies.
Repo: github.com/kylecwalden/polymarket-sniper-bot
> Kalshi-focused (transferable logic)
1. AruneshDev/Automated-Trading-System-Kalshi-Weather-Model - ML-based system (XGBoost) built specifically for weather event contracts on Kalshi. The model architecture is directly transferable to Polymarket weather markets.
Repo: github.com/AruneshDev/Automated-Trading-System-Kalshi-Weather-Model
2. cpratim/Kalshi-Weather-Trading: simple weather trading bot for Kalshi, clean codebase, good reference for understanding the base execution layer
Repo: github.com/cpratim/Kalshi-Weather-Trading
You don’t need to reinvent the wheel. These 10 repositories already solved 80% of the hard problems
Pick one that matches your skill level, study how they structure the code, and build on top of it
The traders making consistent money on weather markets right now aren’t the ones writing everything from scratch - they’re the ones who start with good foundations
I went through dozens of repositories and filtered out the ones that are actually usable in 2026
From simple ready-to-run setups to serious multi-model ensembles with Kelly sizing and live execution - here’s what’s worth your time
> Beginner-friendly / quick start
1. MoonsatProtocol/Polymarket-Weather-Bot: TypeScript, Kelly Criterion sizing, scans NWS forecasts, finds mispriced temperature markets, simulation mode + JSON logs. Has a paid advanced version
Repo: github.com/MoonsatProtocol/Polymarket-Weather-Bot
2. MusicBoiyzzz/Polymarket-Weather-Bot: same Kelly + NWS stack, focus on easy setup, ships with a ready-to-run .zip
Repo: github.com/MusicBoiyzzz/Polymarket-Weather-Bot
3. hcharper/polyBot-Weather: designed for regular hardware (Mac Mini, home PC). Gaussian probability model on NOAA data for weather markets. Also covers crypto via Black-Scholes and binary arbitrage. Copy trading built in. Streamlit dashboard
Repo: github.com/hcharper/polyBot-Weather
> Multi-model ensemble (serious edge)
1. alteregoeth-ai/weatherbot: pure Python, three forecast sources: ECMWF, HRRR for US cities, METAR observations. Scans temperature markets, enters when EV is positive. Kelly sizing + simulation mode
Repo: github.com/alteregoeth-ai/weatherbot
2. AadiXD200/polymarket-weather-bot: autonomous quant bot, multi-model ensemble forecasting, Kelly sizing, live CLOB execution. One of the more complete implementations.
Repo: github.com/AadiXD200/polymarket-weather-bot
3. yangyuan-zhen/PolyWeather: monitors 52 cities, uses DEB (Dynamic Error Balancing): blends multiple model forecasts weighted by recent accuracy per city. Generates calibrated probability buckets, scans for mispricing. Web dashboard + Telegram bot
Repo: github.com/yangyuan-zhen/PolyWeather
> GFS ensemble specialists
1. suislanchez/polymarket-kalshi-weather-bot: trades Polymarket and Kalshi simultaneously. Uses 31-member GFS ensemble from Open-Meteo, converts ensemble agreement into probability, enters when edge vs market price exceeds 8%. React dashboard, FastAPI backend, SQLite tracking.
Repo: github.com/suislanchez/polymarket-kalshi-weather-bot
2. kylecwalden/polymarket-sniper-bot: sniper bot with a dedicated weather strategy using GFS 31-member ensemble. Also includes crypto strategies.
Repo: github.com/kylecwalden/polymarket-sniper-bot
> Kalshi-focused (transferable logic)
1. AruneshDev/Automated-Trading-System-Kalshi-Weather-Model - ML-based system (XGBoost) built specifically for weather event contracts on Kalshi. The model architecture is directly transferable to Polymarket weather markets.
Repo: github.com/AruneshDev/Automated-Trading-System-Kalshi-Weather-Model
2. cpratim/Kalshi-Weather-Trading: simple weather trading bot for Kalshi, clean codebase, good reference for understanding the base execution layer
Repo: github.com/cpratim/Kalshi-Weather-Trading
You don’t need to reinvent the wheel. These 10 repositories already solved 80% of the hard problems
Pick one that matches your skill level, study how they structure the code, and build on top of it
The traders making consistent money on weather markets right now aren’t the ones writing everything from scratch - they’re the ones who start with good foundations
✍1
The final aspects and details of the deal are currently being discussed and will be announced shortly.
Among many other elements of the agreement, the Strait of Hormuz will be opened.
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