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Announcing jina-ocr-v1, our new visual document parser with 3.4B total parameters and 570M active parameters, with speculative decoding built in. Throw PDFs, scans, tables, charts, or invoices at it and get clean markdown back. Available on 🤗 & Jina Reader `x-respond-with` today

Jina AI

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154,660 views • 3 days ago •via X (Twitter)

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I am delighted to announce our partnership with Geco.one ! Starting today, DragonX tokens will be available as collateral for leverage trading with our new partner. Geco One ( Is an established, fully regulated European exchange with over 60,000 registered users. Today marks a first step in our partnership. I am excited to continue to work with their team to push Geco One and DragonX forward in adopting new ecosystems. As part of this partnership, the Geco One team was generous enough to facilitate a BitGo listing for DragonX. This is a big step forward, it opens up new opportunities for DragonX to be listed and partner with other regulated institutions. Give a shot today, you can use BTC/ETH/XRP/GECO/DRAGONX as collateral on leverage, going as much as 100x long or short. Geco One supports dozens of the most popular pairs. check them out today.

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Erik

12,097 views • 1 year ago

The human brain is truly a marvel of nature. If you horribly reductive, and boiled it down to a language model, you'd be looking at roughly 100 trillon parameters running as a sparse MoE architecture Only about 1-5% of neurons fire at any given moment, meaning the brain "activates" maybe 1-5 trillion parameters per inference step. For context, the largest AI models we've built probably top out around 5 trillion parameters. The brain is roughly 100x larger. Even its active params at any given moment are larger than almost every model in existence today. Here's what melts my brain (pun intnended) though Your brain does all of this on about 20 watts of power, less than a dim light bulb. Training a frontier AI model consumes enough electricity to power small cities for months. Running inference across data centers pulls megawatts. Your brain runs 24/7 for 80+ years on the equivalent of a phone charger. We haven't come close to matching the brain's scale. And we're not even in the same universe when it comes to efficiency. Evolution spent 500 million yrs optimizing the most energy-efficient intelligence architecture ever known. we're trying to brute force our way there with compute and electricity. Nature is still the best engineer in the room.

The human brain is truly a marvel of nature. If you horribly reductive, and boiled it down to a language model, you'd be looking at roughly 100 trillon parameters running as a sparse MoE architecture Only about 1-5% of neurons fire at any given moment, meaning the brain "activates" maybe 1-5 trillion parameters per inference step. For context, the largest AI models we've built probably top out around 5 trillion parameters. The brain is roughly 100x larger. Even its active params at any given moment are larger than almost every model in existence today. Here's what melts my brain (pun intnended) though Your brain does all of this on about 20 watts of power, less than a dim light bulb. Training a frontier AI model consumes enough electricity to power small cities for months. Running inference across data centers pulls megawatts. Your brain runs 24/7 for 80+ years on the equivalent of a phone charger. We haven't come close to matching the brain's scale. And we're not even in the same universe when it comes to efficiency. Evolution spent 500 million yrs optimizing the most energy-efficient intelligence architecture ever known. we're trying to brute force our way there with compute and electricity. Nature is still the best engineer in the room.

am.will

130,883 views • 5 months ago

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Kushal Byatnal

171,158 views • 3 months ago

A simple solution to keep our streets clean ♻️ Instead of bottles and cans ending up in the wrong place, you now can leave them on these new bin surrounds, making it easy anyone to pick them up, recycle, and get the deposit back. I’ve seen these bin surrounds working well across Europe so pitched the idea to Dublin City Council and worked closely with the North Inner City task force and council officials to make it happen. Let's get these in Dún Laoghaire next!

A simple solution to keep our streets clean ♻️ Instead of bottles and cans ending up in the wrong place, you now can leave them on these new bin surrounds, making it easy anyone to pick them up, recycle, and get the deposit back. I’ve seen these bin surrounds working well across Europe so pitched the idea to Dublin City Council and worked closely with the North Inner City task force and council officials to make it happen. Let's get these in Dún Laoghaire next!

Ossian Smyth

254,049 views • 1 year ago