Bryan Daugherty, CCI, CBI, SME

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Bryan Daugherty, CCI, CBI, SME

Bryan Daugherty, CCI, CBI, SME

@BWDaugherty

Ω = 24 | PQC | AI | Blockchain — Building trust infrastructure @SmartLedgerTech @OriginNeuralAI #DSC3 | @DoD_CSIAC SME | @NVIDIA Inception Partner

Katılım Ağustos 2008
919 Takip Edilen7.2K Takipçiler
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Bryan Daugherty, CCI, CBI, SME
Bryan Daugherty, CCI, CBI, SME@BWDaugherty·
I’m thrilled to announce that @SmartLedgerTech has been accepted into @nvidia's Inception Program — a global platform that nurtures cutting-edge #AI startups transforming industries. This #milestone validates what we’ve been building: physics-native AI #architectures that challenge conventional approaches to some of humanity’s hardest problems. What we’re working on: 🧬 Axiom — Our drug discovery platform with 23M+ verified molecular binding predictions, blockchain-anchored provenance, and spectral verification methods that have identified promising compounds across therapeutic areas. 🧠 Daugherty Engine — Novel neural architectures built on the principle that geometry is all you need, replacing attention mechanisms with topological constraints. 🔐 Post-Quantum Security Research — Identifying vulnerabilities in next-generation cryptographic standards before they become critical infrastructure. Why #NVIDIA Inception matters: Access to world-class technical #expertise, advanced hardware #resources, and a network of #innovators pushing the boundaries of what’s possible. We’re not just using GPUs — we’re rethinking how intelligence should be computed. To the team at @NVIDIA: thank you for believing in unconventional approaches. To our partners and collaborators: the best is ahead. The future belongs to those who build it. @Sdot2121 @Codenlighten1 @jalexanderm
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Jalexandermartin
Jalexandermartin@jalexanderm·
Cigar Society Magazine Cover Story ~ J.Alexander Martin
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Bryan Daugherty, CCI, CBI, SME
Efficiency is the ultimate disruptor. Today, we achieved a 340x speedup in cryptographic recovery, proving that what used to take a dedicated server farm can now be done on a desktop in under 25 minutes. The gap between "impossible" and "done" just got a lot smaller. 🛰🔓
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ripvaulted
ripvaulted@RIPVaulted·
Touchdown in the showroom! 🏈 The cases at #vaultedtradingcards are absolutely loaded with gridiron heat! Check out these massive hits currently available: •⁠ ⁠Downtowns & Uptowns: We have iconic Downtown inserts🔥 •⁠ ⁠⁠Graded Gems: Featuring a pristine # Graded PSA 10 and other high-grade slabs like @JalenHurts and @BoJackson 🙌🏈 • Patch Autos & Relics: Massive Jaxson Dart multiple patch autos are ready for your collection! We also have incredible relics from @TomBrady @drewbrees and @SammySoSo • The Vault Experience: From signed helmets to rare 1/1 cards, the showroom is a collector’s dream. Stop by and see these beauties in person before they’re gone! 🚀💎 #vaultedtradingcards #thehobby #nflcards #downtowncasehits
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SciTech Era
SciTech Era@SciTechera·
Reminder My brain broke after reading this paper. Quantum computing just took a serious step toward breaking classical AI limits 👀 MIT Scientists just showed that small quantum computers can outperform EXPONENTIALLY larger classical systems on massive datasets. In a new study, researchers introduced a framework called Quantum Oracle Sketching, where instead of loading entire datasets, the system streams random classical samples, processes them in quantum superposition, and then discards them. This directly bypasses the biggest bottleneck in quantum machine learning, which is data loading 👀 The results are honestly kind of ridiculous. A system with fewer than 60 logical qubits can perform core machine learning tasks that would require exponentially larger classical memory, translating to roughly 10,000× to 1,000,000× smaller system size. They validated this on real data, including single-cell RNA sequencing and movie review sentiment analysis, and showed it works across fundamental tasks like classification, dimension reduction, and linear algebra. They also used Classical Shadows to efficiently extract useful outputs from quantum states, solving another long standing limitation. This matters because modern AI is basically brute force, more data, more GPUs, more cost.
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SciTech Era@SciTechera

My brain broke after reading this paper 🤯! Quantum computing just took a serious step toward breaking classical AI limits. MIT Scientists just showed that small quantum computers can outperform EXPONENTIALLY larger classical systems on massive datasets. In a new study, researchers introduced a framework called Quantum Oracle Sketching, where instead of loading entire datasets, the system streams random classical samples, processes them in quantum superposition, and then discards them. This directly bypasses the biggest bottleneck in quantum machine learning, which is data loading 👀 The results are honestly kind of ridiculous. A system with fewer than 60 logical qubits can perform core machine learning tasks that would require exponentially larger classical memory, translating to roughly 10,000× to 1,000,000× smaller system size. They validated this on real data, including single-cell RNA sequencing and movie review sentiment analysis, and showed it works across fundamental tasks like classification, dimension reduction, and linear algebra. They also used Classical Shadows to efficiently extract useful outputs from quantum states, solving another long standing limitation. This matters because modern AI is basically brute force, more data, more GPUs, more cost.

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Thomas Massie
Thomas Massie@RepThomasMassie·
The House passed FISA Section 702 renewal yesterday. I voted NO. This was a Uni-Party vote in favor of unchecked government surveillance without adequate warrants or accountability.
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Bryan Daugherty, CCI, CBI, SME
Bryan Daugherty, CCI, CBI, SME@BWDaugherty·
DSC-3 GPU Scale Test: 500M spins solved in 21.8s. Peak: 3.69B ops/sec. 7 scales tested on a single RTX 6000 Ada. $0 hardware cost. Try it live: #gpu-scale" target="_blank" rel="nofollow noopener">dsc3.originneural.ai/#gpu-scale
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Ry4N was here 🐉
Ry4N was here 🐉@imablackwolf·
@BWDaugherty water leaked internally all over the counter! ill have to take it apart to fix it, i know it can be fixed! how about that french press haha
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Ry4N was here 🐉
Ry4N was here 🐉@imablackwolf·
Brand new Keurig, Let's say lightly use a thrift store 15 bucks and it works! Abercrombie T-shirt $2 and it fits.
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Dark Web Informer
Dark Web Informer@DarkWebInformer·
‼️ Polymarket, the decentralized prediction market platform, has allegedly been breached, with 300,000+ records and an exploit kit leaked on a popular cybercrime forum. The actor states Polymarket has no bug bounty program and was not notified. ⠀ ‣ Threat Actor: xorcat ‣ Category: Data Leak / Exploit Kit ‣ Victim: Polymarket ‣ Industry: Cryptocurrency / Prediction Markets ⠀ The actor states the data was pulled via undocumented API endpoints, pagination bypass, and CORS misconfiguration on Polymarket's Gamma and CLOB APIs. The pack also includes working POCs for multiple CVEs and an auto-dump script. Date of extraction: 2026-04-27. ⠀ What's in it: ⠀ ▪️ 300,000+ total records ▪️ ~750 MB extracted / ~8.3 MB compressed JSONs ▪️ 10,000 unique user profiles with full PII (name, pseudonym, bio, profile image, proxy wallet, base address) ▪️ 4,111 comments with attached profile objects ▪️ 1,000 report records containing 58 unique ETH addresses + admin_auth_addr indicator ▪️ 48,536 gamma markets with full metadata, condition IDs, token IDs ▪️ 250,000+ active CLOB markets with FPMM addresses ▪️ 292+ events with submitter/resolver ETH addresses and internal usernames ▪️ 100 reward configurations with USDC contract addresses and daily rates ▪️ 9,000 follower profiles with names, pseudonyms, proxy wallets ▪️ Internal user IDs exposed in createdBy/updatedBy fields ⠀ Vulnerabilities included (POCs in ZIP): ⠀ ▪️ CVE-2025-62718: Axios NO_PROXY Bypass (CVSS 9.9, SSRF to internal services) ▪️ CORS Misconfiguration on CLOB API (wildcard origin + credentials=true) ▪️ CVE-2024-51479: Next.js Middleware Auth Bypass (CVSS 7.5) ▪️ CLOB Pagination Validation Bypass (limit=999999 accepted, no rate limiting) ▪️ Unauthenticated /comments/{id} endpoint (brute-forceable, leaks full profiles) ▪️ Unauthenticated /reports endpoint (leaks user activity + admin indicator) ▪️ Unauthenticated /v1/data/followers/{address} (full social graph enumeration) ⠀ Pack contents: ⠀ ▪️ All dumped JSONs (markets, events, profiles, comments, reports, rewards, series) ▪️ 5 working POCs (CORS exploit, Axios SSRF, Next.js bypass, pagination DoS, WebSocket exploit) ▪️ Auto-dump script (continuously pulls fresh data until endpoints are patched) ▪️ Full redteam report with MITRE ATT&CK mapping ▪️ Additional 350MB data dump
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ripvaulted
ripvaulted@RIPVaulted·
VINTAGE VIBES! ⚾️🔥 Just cracked a pack of 1990 Donruss and the legends showed up. Pulling a #nolanryan ‘5000 K’s’ and this Yastrzemski Diamond King takes me straight back to the local card shop in the 90s! The corners are crisp and the nostalgia is real. Nothing beats the sound of a wax pack opening! #charlirippinpacks #vaultedtradingcards #donrussbaseballcards
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