goochsmooch

[goochsmooch @gravecells]

@DfinityToday @caffeineai This is Modded GTA5 😂 who you think you foolin

[goochsmooch @gravecells]

@Shibtoken When are you guys paying $bad holders from yalls scams?

[goochsmooch @gravecells]

@Mazrael_shib You are fuckimg retarded If you think this isreal

[Jerry Banfield Crypto @JerryBanfieldIC]

The Simplest Possible Explanation of internet-computer:native

[goochsmooch @gravecells]

@Shibtoken After scamming us with all them "projects" yall shouldn't even be in the top 50 💀

[goochsmooch @gravecells]

@Shibtoken And will be forever a joke to crypto, what happened to shibarium and all the tokens you guys shilled and then dropped dumping of millions wrecking everyone's bags? Hmm? Cannot believe shib is still top 50 😂 fuck you shibluci and shycoochie kusama

[goochsmooch @gravecells]

@GretchenSPeters Lost over 2k

[dom | icp @dominic_w]

Soon I will demonstrate how AI can be "inside" an arbitrary ICP app, service or website built using the latest Motoko, understanding all its data, analysing it any way you want, and taking actions, without need for one special line of code. Insane and groundbreaking.

[dom | icp @dominic_w]

Question: how long before the ravenous venture backers of decentralization theatre crypto startups, who made so much money from vaporware in the bull run, back off and let crypto swing back from Theranos-style snakeoil to tech utility and long-term value generation. Soon please.

[𝙪𝙣𝙘𝙤𝙣𝙨𝙘𝙞𝙤𝙪𝙨.𝗲𝘅𝗲 @0PointEntropy]

Hey @grok, fact check:

Remove the AI coding tool that builds on a revolutionary new tech stack.

[dom | icp @dominic_w]

When the AWS data centers got "droned" in the Middle East, vast swathes of web3 stopped working properly, exposing "decentralized theatre".

But I'm hopeful many projects will see ICP cloud engines as an acceptable fix given the control it provides to administrators. Not joking.

[dom | icp @dominic_w]

Internet Computer unlocked secure onchain sovereign cloud. https://t.co/c91gCXdahA unlocked creating 100% onchain apps using AI chat. All while other networks only process tokens. ICP stands unique. Soon, cloud engines, and verifiable LLM inference. Real tech inflection coming...

[dom | icp @dominic_w]

Huge usage spike affecting the new https://t.co/1UYehNI8hQ V3 release right now, but bear with the team as they iron out wrinkles. The platform scales and will be back 🙏🍿

[HERO @HEROonchain]

Mission 70 on $ICP ♾
Proposal 140858 has been published on the NNS.

Cloud Engines will provide additional compute capacity for Caffeine projects, reducing the need for a large number of unused reserve subnets.

Therefore, DFINITY is proposing adjusting the subnet target topology to better reflect the current network state and upcoming architecture changes.

Specifically:

-Reduce the target number of application subnets from 60 to 43.
-Reduce the size of the 8 currently unused reserve subnets from 13 to 7 nodes.

[dom | icp @dominic_w]

NVIDIA showcasing new "interfence-only tech" @ GTC in next few days (building on Groq acqui.)

The pending earthquake I predicted in 2024: inference will become key to training, and many that are investing heavily in trad GPU infra will get caught out and by this coming shift.

Why? There is a shortage of fresh training data to help with scaling intelligence through pretraining.

To solve this, CoT reasoning will be applied within agentic architectures to perform research that axiomatically generates discoveries and insights — with such frameworks validating empirical assumptions and reasoning to prevent the generation of training data based on hallucinations or faulty thinking.

New frontier knowledge insights will be formulated for use as training data in ways that both help embed new knowledge in model weights, and increase embedded "intuition," which directly supports the notional "intelligence quotient" that can be ascribed to textual synthesis by LLMs.

Inference-generated training data will prove instrumental to advancing frontier LLM capabilities. Meanwhile, its generation will involve vast amounts of inference computation, and interfence-only ASICs (application specific integrated circuits) will be required to do it competitively.

The only question is when agentic frameworks and LLM capabilities will advance sufficiently to make this possible. My own experiences applying agentic frameworks at work in recent months make me think that agentic generation of training data at scale may not be that far off.

This is definitely something tech firms investing heavily in do-it-all GPU chips and data centers specialized to host them should think about.

Once end-users get a taste for inference on ASICs, which can be 10X faster compared to the latest GPUs, they're also not going to want to do inference on anything else, at least for chat and code generation, which are very time-sensitive tasks — for example, https://t.co/IfQrVovF3L plans to adopt ASICs as soon as possible.

It's a shame NVIDIA bought Groq, because competition is needed to advance this sector, so all eyes on Cerebras and their dinner plate sized chips!

[goochsmooch @gravecells]

@MrBeast @MikeBenzCyber Shut yo bill gates ass up and take my money without me knowing bittcchh

[goochsmooch @gravecells]

@Geniustechw Someone take this dead beat roast beef pussys phone away🥹 shouldn't be marrying anyone if you are the town whore

[Bawon @Bawonex24]

@_raesparkles Dear kings chase the mother and the kids away and let them know you are not their father don’t allow any woman manipulate you to raise kids that are not yours

[goochsmooch @gravecells]

@_raesparkles Nigga fuck those kids thats the women's fault for not disclosing that information from the start, im traumatizing the fuck out of them kids and leaving to have my OWN KIDS 😂.. tf you think this is a charity?.. if you can find a man behind the father back then you can find anotha

[goochsmooch @gravecells]

@babaxmemes Someone dididnt do they research 🤣