ElliotsCrypto
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ElliotsCrypto
Square Verified+HardWorking Build'N'Build | Twitter @ElliotsCrypto |
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ElliotsCrypto
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What an insane run on $BTC at the end of August...yeah i expected at least a good run towards 68-70k but rn at 78k has been quite unexpected. I would say with how much price movement we've had the last week a short term consolidation can't be ignored and as for my bais for the month I'm currently watching how the first weekly and probably second weekly candles closes relative to Sept opening price, that will definitely give me a clearer direction for the month.
A good weekly candle above that price and we've got ourselves a bullish month and the reverse means we could make a new monthly low...
Just to be clear I'm still sticking to the idea that the true accumulation for bull kicks off from Oct and bull begins Jan 2027. (TA created 2 days ago)
$BTC $ETH
A good weekly candle above that price and we've got ourselves a bullish month and the reverse means we could make a new monthly low...
Just to be clear I'm still sticking to the idea that the true accumulation for bull kicks off from Oct and bull begins Jan 2027. (TA created 2 days ago)
$BTC $ETH
ElliotsCrypto
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You Can't Verify What AI Models Actually Do. Open Gradient Is Changing That
90% of AI apps ask for your trust
Chances are, if you’ve used an AI app you’ve had to place trust in the operator.
Trusting the operator is the usual and expected case in portfolio management, lending, medical information services and content moderation.
There’s no independent way to verify whether the output that you received was logged or tampered with.
Where privacy means obfuscation
There are some apps which go further by offering encryption. But encryption only hides what’s sent.
Operators can still see what’s in the prompt, make a copy of the encrypted message and decrypt it for their use at any time.
In a world where prompt injection is an art, this is a big problem.
OpenGradient wants to replace trust with proof.
Privacy by cryptography
- The messages you write are encrypted on your device.
- No one sees anything in the message before it’s encrypted.
- Your identity gets stripped off before anything gets sent to the model.
- Your privacy is enforced by cryptography and hardware, not promises.
You can be certain that no one sees the message at any point along the route to the model.
Verifying inference is hard, And most apps let inference happen in one black box.
And you have no way to independently verify that inference was done correctly, and there’s no way to verify that your prompt was the one used.
A few experimental projects come close by making computation verifiable.
But OPG takes this further by running the verified inference network on a permissionless network of specialized nodes.
through it's TEE-based secure and verifiable LLM inference
OpenGradient delivers verifiable LLM inference for running LLMs on the network. All LLM prompt requests are routed through the Trusted Execution Environments (TEEs) which provide hardware attestation verification meaning node operators can’t see, log or manipulate requests.
You can be certain every inference is executed correctly, your prompt is the one being used and no one sees what you wrote.
Why it matters
This clearly matters for many sensitive tasks, like
- Medical reasoning
- Financial analysis
- even private conversations
All of these would be difficult to use with today’s AI apps.
And you can do it all from one app.
OPG also gives you access to all of the major frontier models in one app.
Claude’s latest Fable 5 model now currently integrated too and The Nous Hermes model is available in Private Chat.
You get private, TEE-verified inference through a unified API.
Users who have been actively using the chat platform with purchased credit will be eligible for the S2 $OPG airdrop too.
If you want an AI you can trust with anything, check out OpenGradient Chat, new users are get access to 1,000 free credits upon signing up: chat.opengradient.ai
Chances are, if you’ve used an AI app you’ve had to place trust in the operator.
Trusting the operator is the usual and expected case in portfolio management, lending, medical information services and content moderation.
There’s no independent way to verify whether the output that you received was logged or tampered with.
Where privacy means obfuscation
There are some apps which go further by offering encryption. But encryption only hides what’s sent.
Operators can still see what’s in the prompt, make a copy of the encrypted message and decrypt it for their use at any time.
In a world where prompt injection is an art, this is a big problem.
OpenGradient wants to replace trust with proof.
Privacy by cryptography
- The messages you write are encrypted on your device.
- No one sees anything in the message before it’s encrypted.
- Your identity gets stripped off before anything gets sent to the model.
- Your privacy is enforced by cryptography and hardware, not promises.
You can be certain that no one sees the message at any point along the route to the model.
Verifying inference is hard, And most apps let inference happen in one black box.
And you have no way to independently verify that inference was done correctly, and there’s no way to verify that your prompt was the one used.
A few experimental projects come close by making computation verifiable.
But OPG takes this further by running the verified inference network on a permissionless network of specialized nodes.
through it's TEE-based secure and verifiable LLM inference
OpenGradient delivers verifiable LLM inference for running LLMs on the network. All LLM prompt requests are routed through the Trusted Execution Environments (TEEs) which provide hardware attestation verification meaning node operators can’t see, log or manipulate requests.
You can be certain every inference is executed correctly, your prompt is the one being used and no one sees what you wrote.
Why it matters
This clearly matters for many sensitive tasks, like
- Medical reasoning
- Financial analysis
- even private conversations
All of these would be difficult to use with today’s AI apps.
And you can do it all from one app.
OPG also gives you access to all of the major frontier models in one app.
Claude’s latest Fable 5 model now currently integrated too and The Nous Hermes model is available in Private Chat.
You get private, TEE-verified inference through a unified API.
Users who have been actively using the chat platform with purchased credit will be eligible for the S2 $OPG airdrop too.
If you want an AI you can trust with anything, check out OpenGradient Chat, new users are get access to 1,000 free credits upon signing up: chat.opengradient.ai
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