Model Railway Trains - Search Videos

1K hours is rookie numbers by the wayActively scaling this up further to 10K-25K+, the infra has been built over past months :) I will train foundation models on this data.1K is an initial artifact to get researcher feedback early and prevent burning a bunch of compute

1K hours is rookie numbers by the wayActively scaling this up further to 10K-25K+, the infra has been built over past months :) I will train foundation models on this data.1K is an initial artifact to get researcher feedback early and prevent burning a bunch of compute

160K views1 month ago

x.comArnie Ramesh

Sound Effects for Model Railroads

Sound Effects for Model Railroads

building-your-model-railroad.com

this is why open-source wins every time..open weights allow you to invent new model capabilities, train + generate locally (crucial for NDA'd and personal data), push the limits of what's currently possible + lean into a huge community of experts for advice and inspiration 🖤

this is why open-source wins every time..open weights allow you to invent new model capabilities, train + generate locally (crucial for NDA'd and personal data), push the limits of what's currently possible + lean into a huge community of experts for advice and inspiration 🖤

16K views1 month ago

x.comIngi Erlingsson 🪄

MRC is already deployed across all of OpenAI’s largest supercomputers that we use to train frontier models, including our site with @Oracle Cloud Infrastructure (OCI) in Abilene, Texas, and in @Microsoft’s Fairwater supercomputers.MRC is now available through the @OpenComputePrj for the entire industry to use and build on.

MRC is already deployed across all of OpenAI’s largest supercomputers that we use to train frontier models, including our site with @Oracle Cloud Infrastructure (OCI) in Abilene, Texas, and in @Microsoft’s Fairwater supercomputers.MRC is now available through the @OpenComputePrj for the entire industry to use and build on.

143.1K views1 month ago

Bittensor >> $TAO >> $dTAO Subnet 66: Eclairhttps://t.co/ReiGxcKRESMost people think subnets are just AI experiments.They’re wrong.SN66 is something else entirely.This subnet doesn’t train models.👉 It trains a war.Welcome to Éclair.A system where miners generate videos from a single image,validators judge realism using GPT-4o,and only one survives.No averages.No safety.👉 Winner takes 100%.Everyone else gets 0.A king emerges.To replace him, you must beat him by +5%.This isn’t just AI.This is pu

Bittensor >> $TAO >> $dTAO Subnet 66: Eclairhttps://t.co/ReiGxcKRESMost people think subnets are just AI experiments.They’re wrong.SN66 is something else entirely.This subnet doesn’t train models.👉 It trains a war.Welcome to Éclair.A system where miners generate videos from a single image,validators judge realism using GPT-4o,and only one survives.No averages.No safety.👉 Winner takes 100%.Everyone else gets 0.A king emerges.To replace him, you must beat him by +5%.This isn’t just AI.This is pu

5.8K views2 months ago

x.comPunisher ττ

Elon Musk just revealed what’s actually holding AI back.It’s not chips. Not models. Not data.It’s concrete.Someone asked him the obvious question. Why not just build private power plants next to data centers? Bypass the grid entirely.His answer was four words.Musk: “The power plant makers.”There aren’t enough of them.You can design the best chip on earth. Train a frontier model. Raise $10 billion for a hyperscale data center.None of it matters if you can’t power it.Musk: “You can drill down a le

Elon Musk just revealed what’s actually holding AI back.It’s not chips. Not models. Not data.It’s concrete.Someone asked him the obvious question. Why not just build private power plants next to data centers? Bypass the grid entirely.His answer was four words.Musk: “The power plant makers.”There aren’t enough of them.You can design the best chip on earth. Train a frontier model. Raise $10 billion for a hyperscale data center.None of it matters if you can’t power it.Musk: “You can drill down a le

984.9K views1 month ago

Jensen Huang admitted that he missed Anthropic, and today it just closed at a $965 billion valuation (Save this).As Jensen put it, he didn't deeply internalize how difficult it would be to build a foundation AI lab like Anthropic.He assumed they could just raise from VCs like any other company."A VC would never put in five, ten billion dollars of investment into an AI lab with the hopes of it turning out to be Anthropic. And so that was my miss."That miss is now a $965 billion company.Today, Ant

Jensen Huang admitted that he missed Anthropic, and today it just closed at a $965 billion valuation (Save this).As Jensen put it, he didn't deeply internalize how difficult it would be to build a foundation AI lab like Anthropic.He assumed they could just raise from VCs like any other company."A VC would never put in five, ten billion dollars of investment into an AI lab with the hopes of it turning out to be Anthropic. And so that was my miss."That miss is now a $965 billion company.Today, Ant

109.7K views3 weeks ago

x.comMilk Road AI

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