Howard Ehlen 🌐

#cryptojunkie $KRST

[Howard Ehlen 🌐 @ehlen_howard]

Been digging into what @inference_labs is building and it’s clear they’re solving a real problem in AI: trust. Verification at inference time isn’t hype, it’s essential if AI is going to touch real-world systems. Their Zealy campaign actually helped me understand this better.

[Howard Ehlen 🌐 @ehlen_howard]

Plan to make your AI ouputs verifiable with Inference

[Howard Ehlen 🌐 @ehlen_howard]

Warehouses lose millions when "the AI said the count was right" isn't proof, just a guess. Sertn's Proof of Inference gives every vision check on a shipment a cryptographic proof the exact model ran on the exact footage.
#SertnAI #Logistics #SupplyChain #VerifiableAI #AI

[Howard Ehlen 🌐 @ehlen_howard]

Blind trust in visual AI breaks at scale. One unverified prediction is a bug. Millions are a liability. SertnAI attaches a proof receipt to each output, turning black box results into auditable records.
#SertnAI #ComputerVision #VerifiableAI #ProofOfInference #AI

[Howard Ehlen 🌐 @ehlen_howard]

Blind trust in visual AI breaks at scale. One unverified prediction is a bug. Millions are a liability. SertnAI attaches a proof receipt to each output, turning black box results into auditable records.
#SertnAI #ComputerVision #VerifiableAI #ProofOfInference #AI

[Howard Ehlen 🌐 @ehlen_howard]

The smarter AI gets, the less we can eyeball its behavior. Good intentions don't scale. Proofs do. Verifiable AI lets a system show it ran the exact model it claimed, on the exact input.
#VerifiableAI #PacingTheFrontier #ProofOfInference #AISafety #AI

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs Verifiable inference feels essential if AI is going to be trusted in real systems, but knowing how accurate a model is, is very important

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs As AI moves deeper into critical infrastructure, verifiability becomes just as important as performance. Both need to exist together.

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs Trustless verification is becoming non-negotiable as AI adoption accelerates

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs Inference integrity is an underrated pillar of responsible AI development

[Inference Labs @inference_labs]

1/ Keypoints are useful when the important signal is not just who or what is in the frame, but how something is positioned and moving.

For airside operations, that can mean tracking a marshaller’s arms, body position, and gesture sequence over time.

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs As AI moves deeper into critical infrastructure, verifiability becomes just as important as performance. Both need to exist together.

[Howard Ehlen 🌐 @ehlen_howard]

@Lontorfan @MineBitOfficial wow, this is impressive

[Howard Ehlen 🌐 @ehlen_howard]

@Matchalaweb3 @MineBitOfficial This is really nice

[Howard Ehlen 🌐 @ehlen_howard]

Join this community fr amazing updates about verifiable AI
@baby_tems97095 @Goodluckxo
shttps://x.com/i/communities/1989050657634939135
https://t.co/jMcOqTNgfp

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs Inference integrity is an underrated pillar of responsible AI development

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs Inference integrity is an underrated pillar of responsible AI development

[Howard Ehlen 🌐 @ehlen_howard]

Tried paying gas fees with USDD on TokenPocket for the first time today. Smooth, fast, and no extra token swapping needed. Small feature, big convenience.
#USDDonTP #USDDForGas @TokenPocket_TP @USDDecentralize @KeyPalWallet

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs Inference integrity is an underrated pillar of responsible AI development

[Inference Labs @inference_labs]

Some AI outputs can be proven mathematically. Some can be re-executed.

Others require judgment because there is no deterministic answer.

At Inference Labs, that distinction matters. Different kinds of correctness need different verification mechanisms.
https://t.co/91z1UYbDP9

[Howard Ehlen 🌐 @ehlen_howard]

@inference_labs Inference integrity is an underrated pillar of responsible AI development