Drew P. Bahlz

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Drew P. Bahlz

Drew P. Bahlz

@DataPlumber_

Embracing each day's journey. 🛡️Security Engineer. 🌐 Open Source Advocate 🤖 e/acc 🇺🇸 USAF Veteran Exploring life's endless possibilities one step at a time

WFH Katılım Temmuz 2010
965 Takip Edilen499 Takipçiler
Drew P. Bahlz
Drew P. Bahlz@DataPlumber_·
Artificial general intelligence is here. It really is just not evenly distributed. Most people don’t know how to get the most out of AI and are still stuck in there old ways.
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Drew P. Bahlz
Drew P. Bahlz@DataPlumber_·
“You’d be retarded to invest in spaceX on IPO day, retail will be the liquidity” Me
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SpaceX
SpaceX@SpaceX·
Three years since the first flight of Starship, the next generation is here. New ship. New booster. New engines. New pad and new test site. SpaceX engineers are working to solve one of the most difficult engineering challenges in history: developing a fully, rapidly reusable rocket
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Drew P. Bahlz
Drew P. Bahlz@DataPlumber_·
The only time more exciting than today is tomorrow
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Vicharak
Vicharak@Vicharak_In·
learnin Chip design. Robotics. Drone controllers. Computer Science. All now more affordable than your coffee at @Starbucks
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le.hl
le.hl@0xleegenz·
Me: I'm a 90s kid "No, you're a 30 years old grown man"
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NASA Administrator Jared Isaacman
The world stopped to watch Artemis II. Moments like this remind us what is possible and inspire the next generation to dream bigger and take us even further. We are just getting started on this grand adventure. It is time to start believing again.
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Andrew McCarthy
Andrew McCarthy@AJamesMcCarthy·
A reminder that humans can do incredible things when we work together with purpose.
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Barstool Sports
Barstool Sports@barstoolsports·
Dudes only want one thing and it’s to go back to the fricken moon
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NASA
NASA@NASA·
We're going around the Moon. Come watch with us. Artemis II's four-astronaut crew is lifting off from @NASAKennedy on an approximately 10-day mission that will bring us closer to living on the Moon and Mars. The launch window opens at 6:24pm ET (2224 UTC). twitter.com/i/broadcasts/1…
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Drew P. Bahlz
Drew P. Bahlz@DataPlumber_·
Took the 5 in for a rip today
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Darren Shepherd
Darren Shepherd@ibuildthecloud·
Wait I've never paid attention to iPads. Why is this not just macos? It's like Mac OS, but you can't run a terminal. If you could put Brew on this and launch VMs this would be the perfect device for me.
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Mark Gadala-Maria
Mark Gadala-Maria@markgadala·
This is wild. 143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
NewsForce@Newsforce

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce

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vittorio
vittorio@IterIntellectus·
this is actually insane > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to drug targets > design a custom mRNA cancer vaccine from scratch > genomics professor is “gobsmacked” that some puppy lover did this on his own > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: “if we can do this for a dog, why aren’t we rolling this out to humans?” one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get
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Séb Krier@sebkrier

This is wild. theaustralian.com.au/business/techn…

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Drew P. Bahlz
Drew P. Bahlz@DataPlumber_·
Tailscale really is that good
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kache
kache@yacineMTB·
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