Blind Insight me-retweet
Claude code source code has been leaked via a map file in their npm registry!
Code: …a8527898604c1bbb12468b1581d95e.r2.dev/src.zip
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Blind Insight
83 posts
Blind Insight
@GetBlindInsight
Unlock value from data without sacrificing privacy and security. GDPR/CCPA/EHDS/AI-ACT compliant analytics and data-sharing. https://t.co/J008ZeHNlv
Venice Beach, Los Angeles Bergabung Temmuz 2022
233 Mengikuti53 Pengikut
Blind Insight me-retweet
Most people don’t realize the real bottleneck in AI isn’t compute it’s data access.
You can scale GPUs infinitely, but the moment sensitive data is involved, everything slows down:
compliance, trust, security reviews.
That’s why approaches like encrypted data processing from @GetBlindInsight are interesting making data usable without exposing it.
We’re exploring a similar direction on the compute side with @jungle_grid :
running AI workloads across distributed nodes without requiring trust in the compute layer.
Feels like the future of AI infra is:
secure data × trustless compute.
Curious to see where this goes.
Jackie Peters@JackiePeters
They said it couldn't be done... we were underestimated and under resourced at every turn. But as they say, necessity is the mother of invention, and I have always loved a good challenge. So proud of our team for pulling this off, and I had so much fun building the example on top of our platform.
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Blind Insight me-retweet
Excited to announce that aggregation functions have shipped on @GetBlindInsight! We now support sum, avg, min, max, and count!
Blind Insight@GetBlindInsight
🚨 Announcing real-time (ms latency) aggregation functions on encrypted data! Need to #comply with #MiCA / #DORA in-use #encryption requirements and still do mathematical operations at the speed of business? We got you!
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Blind Insight me-retweet
🔐 Meet Blind Insight—a complete solution for working with sensitive data in real-time. Blind Insight's searchable encryption is up to billions of times faster than FHE. Fine-grained access controls streamline compliance and minimize exposure.
#PrivacyTech #CyberSecurity #AI
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Blind Insight me-retweet
Blind Insight Founder @JackiePeters sat down with @markjeffrey today to discuss the lessons learned from the recent #Coinbase breach and how organizations can be more proactive about their data stewardship.
#DataProtection #DataSecurity #CoinbaseBreach
Mark Jeffrey@markjeffrey
Hash Rate - Ep 112: The Coinbase Data Breach 🧙 Guest: @JackiePeters of @GetBlindInsight blindinsight.com 00:00 The Coinbase Breach Overview 03:17 Hacking The Humans 07:35 The Egg Upon The Face 08:44 What SHOULD Coinbase Have Done? 12:52 Understanding Homomorphic Encryption 15:51 Blind Insight's Approach 22:43 Integration and Market Fit 28:34 Self-Sovereign Identity and Data Ownership
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Blind Insight me-retweet
Blind Insight me-retweet
Hot take: #FHE set encryption-in-use back 5 years by overhyping and underdelivering, and convinced a lot of smart people that #encrypted #ML 'isn't ready yet.'
Meanwhile, we just trained a #fraud model on 50K encrypted records in 90s. On standard hardware. #Demo in comments👇
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Blind Insight me-retweet
They said it couldn't be done... we were underestimated and under resourced at every turn. But as they say, necessity is the mother of invention, and I have always loved a good challenge.
So proud of our team for pulling this off, and I had so much fun building the example on top of our platform.
Blind Insight@GetBlindInsight
🚨Fully Homomorphic Encryption (FHE) has all the hype for secure compute, but it breaks down at scale. We built a production-ready alternative. We just trained a Naive Bayesian classification model (6 features predicting 1 risk level target) on 500K encrypted records in 70 seconds. Cost? Exactly 1 penny. 🧵👇
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Blind Insight me-retweet
Blind Insight me-retweet
Blind Insight me-retweet
While it is easy to condemn this as a personal failure, we should also look at the incentives created by venture capital. When the market rewards growth at any cost, it invites founders to stretch the truth to stay relevant. Roy Lee is responsible for his choices, but this situation reflects a broader culture that prioritizes optics over operational reality. Can the tech industry build a sustainable model where transparency is valued as much as a high multiple?
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This is episode 1 of Will It Run On Encrypted Data?. You bring the use case, we’ll try to build it.
What should we run on encrypted data next? Let us know below! 👇
🔗 Link to full 3-minute demo: youtube.com/watch?v=N9VNa7…
YouTube
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To prove it, we ran real-time decisioning in milliseconds and validated against a local dataset of 23,500 plaintext records. 100% agreement. Zero accuracy lost.
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🚨Fully Homomorphic Encryption (FHE) has all the hype for secure compute, but it breaks down at scale.
We built a production-ready alternative.
We just trained a Naive Bayesian classification model (6 features predicting 1 risk level target) on 500K encrypted records in 70 seconds.
Cost? Exactly 1 penny. 🧵👇
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Demonstration of our @ProjectJupyter integration where we train a predictive fraud model on 50K encrypted records using a Naive Bayesian model. Latency scales linearly. Next up: 250K records. 🍿
Jackie Peters@JackiePeters
Six features, one target variable, 50K records, 94s. 90.8% accuracy, 1:1 results vs. same model trained on plaintext.
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If you've evaluated FHE, found it fell short for your use case, and thought that was the only answer, think again.
Jackie Peters@JackiePeters
Hot take: #FHE set encryption-in-use back 5 years by overhyping and underdelivering, and convinced a lot of smart people that #encrypted #ML 'isn't ready yet.' Meanwhile, we just trained a #fraud model on 50K encrypted records in 90s. On standard hardware. #Demo in comments👇
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From startups like @GetBlindInsight to big companies like @MongoDB's Queryable Encryption, searchable encryption is poised to enter production.
mongodb.com/docs/manual/co…
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FHE is really cool, Laurie's thread has great pointers, check it out!
However, FHE isn't the only answer to "encryption-in-use". Other solutions exist that are efficient, employ well-established cryptography, and are deployable today!
Naturally, there's a catch:
LaurieWired@lauriewired
Encryption is kind of a lie. Data can be encrypted at rest, and even in transit…but not “in use”. Fundamentally, CPUs execute arithmetic instructions on decrypted plaintext; even with secure enclaves. But what if we got *really* clever:
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