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@simonw's lethal trifecta is the cleanest articulation that LLM agent safety is a composition problem, not a model problem. Private data, egress, and untrusted input are each safe in isolation. The danger lives in the join. Alignment doesn't fix joins. Architecture does.
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yep im betting this is exactly whats up. akron u has shit like this all over the place because they took the old victorians and turned them into 4- and 5- unit apartment buildings and fire code demands separate egress.
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Bug - Gabriele Pandiani retweeted
My Poetry Phantasmagoria: Egress polished brass & looking glass door, spectral pale thus step neath resplendent ray-ban scorching sun. 'Tis flaming dawn o' Icarus, whereas penumbras ne'er cast nor written upon star lit sidewalks. Megalopolis by the Bay, lofty hills & venture glance doth stare through fingers o' handless gloves, doth survey needles & heat haze hallucinations. Apprehension ratiocination doth traverse inordinate. How pocket timepieces doth meet thy way o' lavender grandmother's. For eons doth utterance forth o' charcoal paisley waistcoats gelid suave elegance, three-piece Italian suit replete, immaculate 57 Chevrolet pale blue Bell-Air. Fine liveried chauffeur doth pull forth to the fore, a world o' iconoclast, Bel Air luxuriant Estates, LA subterranean nights o' style & Haight-Ashbury mornings. Satire o' polyester acrylic dresses taut. Bell flowered skirts & for She, doth turn face away a holographic future o' untruths. She straightens stocking pencil lines & diamanté chic. Thou forgotten childhood, labyrinthian recollections o' Machiavellian jesters & much deleterious blood. Pearls heavy, gentle doth play, Her pale manicured fingers abhorred, instead titular gray flannel suits, cigarette holders, crow snow tracks upon polished chrome. Transcendent lucent hopes, yet, as if cosmopolitans, salt memories falls party invites discontinuance doth drip from guilt white envelopes. Eons spectate o' silver screen motion pictures, Vogue Theatre, Sacramento street, 'tis past boarded repositories, stores & cafés. 1930s cracked black & white movies unoccupied last blank screen, Leather gloved chauffeur Mercedes-Benz chrome lip gloss whilst mirrored Mary Jane Heels, swapped a two-tone brogue. Finally…disappointment all & any figures, times zero still doth hold naught but zero! Hitchcock, '56, “The Wrong Man”, star Vera Miles doth commence slick debonair upon unashamedly ice-cold Cherry Cola, straw a titanic handrail o' ruination.
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What's the best cloud for game hosting. I ran the numbers and AWS and the other giants have ridiculous egress fees for online game servers #BuildInPublic #indiedev #gamedev
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this mac studio, M2 Ultra with 192GB RAM. it runs the local 70B model (24GB card). client legal docs stay in-house, no cloud egress. own the security, not just the bill.
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Replying to @garrytan
why does hermes allow silent fallback at all, cross vendor egress breaks audit trails before exa even matters
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(11) Waves and Currents are WILD and minor patches of Frothiness could be observed deep inside. Cross Currents not only make Ingress difficult, but Egress very dangerous. 8 to 10 Feet Hurling waves, just 150 mts from Shore at High Tide. Sand has become very soft due to Froth.
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Backrooms of Egress
the sun
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Those B-52 crash details are stuck in my head. Airframe cleared into the 2050s, crew still riding unsequenced Weber cordite seats. Flight test is risky enough without sixty-year-old egress hardware.
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4/4 Perimeter security is no longer an implicit trust boundary. If you aren't hunting for anomalous egress traffic and unauthorized Rclone configurations inside your network today, you're already behind.
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**Shadow AI Is Becoming the Largest Unmonitored Data-Exfiltration Channel in Enterprise AI (2026)** Most organisations are preparing for AI model risk. Very few are prepared for employee prompt risk. That is where the next major enterprise AI incident will come from. Not from a model failure. From a perfectly normal employee pasting sensitive data into a public LLM. **DEEP ARCHITECT LENS** Every prompt is an egress event. The moment source code, contracts, customer records, financial data, architecture diagrams, or support tickets enter a public model, they cross a trust boundary. Traditional DLP was designed for files and email. Modern AI traffic is different. It is conversational, unstructured, latency-sensitive, and often invisible to existing controls. The architecture challenge is no longer model governance. It is AI traffic governance. Production-grade environments require an AI egress control plane: Detect. Mediate. Route. Inline DLP. Bidirectional inspection. Immutable audit trails. Policy-driven routing. Sanctioned no-training endpoints. The goal is not blocking AI. The goal is controlling data movement. **CEO / CTO / BOARDROOM LENS** Shadow AI creates a risk most executives underestimate. Data can leave the organisation without a breach, malware, or attacker. A well-intentioned employee can create a compliance event in seconds. Revenue risk. Regulatory exposure. Intellectual-property leakage. Customer trust erosion. All triggered by a single prompt. **MARKET SHIFT** From: Blocking AI Tools To: Governing AI Traffic From: Model Security To: Data Egress Security From: Visibility After Incidents To: Real-Time Prevention And Auditability **WHAT ACTUALLY WORKS IN PRODUCTION** Enterprise AI gateways. Inline prompt DLP. PII tokenisation. No-training endpoints. Bidirectional inspection. Immutable egress logs. Policy-based routing. User coaching at the moment of risk. **WHERE MOST TEAMS FAIL** Blanket AI bans. Regex-only DLP. No sanctioned alternative. No audit trail. Inspecting prompts but not responses. Treating Shadow AI as a tooling issue instead of a behavioural and governance challenge. **ADOPTING STRATEGY** Build the sanctioned path first. Make it faster, safer, and easier than the shadow path. Security controls that lose on user experience eventually lose adoption. **FINAL INSIGHT** You cannot secure what employees never route through your controls. The future of AI governance is not model control. It is egress control. #EnterpriseAI #AISecurity #DataGovernance #ShadowAI #LLMGovernance #AIArchitecture #ChiefArchitect #EnterpriseArchitecture #CyberSecurity #DataProtection #RAGArchitecture #SystemDesign appscale.blog/en/blog/shadow…

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A. Smith retweeted
2/2 Iran is not going to allow Israeli, USA Warships free, uninvited entry and egress thru the narrow Iranian Seas in Strait of Hormuz 15 miles off Iranian Shores nor would USA allow uninvited, unescorted enemy warships and contraband Israeli Cargo to freely pass Texas or Florida
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Replying to @schrondonowitz
The sniper makes sense but from an ambush perspective why wouldn’t you have at least some of your MG/AT systems at your entrance/egress routes
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~2,000 list operations. = $0.009 on R2 vs ~2,000 list operations. = $0.01 on e.g. Tigris S3 which also has free egress
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Most GPU cost calculators are built by the providers themselves. So the cheapest option always seems to be theirs. We built the independent one. Three tools, now live on GPUAdvisor: → True-cost estimator — folds egress and storage into the hourly rate and re-ranks providers by what you’ll actually pay → Reserved vs on-demand break-even — the utilization point where a commitment starts to pay off → Training cost estimator — model size and tokens in, GPU-hours and spend out Every figure is editable, so you can model your own quotes against the market. No provider pays for placement, and none can. The compute layer of AI is being built right now, and almost no one is honest about what it actually costs. We’re fixing that. If you’re making a compute decision this quarter, try them → gpuadvisor.com/cloud-pricing
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