**Grey Aliens and Disc UFO in the Dark Forest** Two grey aliens stand near a landed metallic disc UFO in a misty forest at night. The eerie scene suggests a crash or landing event. Real alien encounter in the woods or creepy hoax? **What do you think?** #GreyAliens# #ForestUFO# #DiscLanding# #AlienCrash# #NightSighting# #UFOFootage# #PlanetSecrets#

Late night stablecoin research, might as well share the quick findings. $USDfr ► Issuer: @forestroadvault ► Yield: 35% ► Backing: Media, Entertainment, and Energy Receivables, and Market-to-Market lending ► Also: Forest Road seems to have self-owned junior capital and a back up reserve posted by sGROVE stakers, this makes sUSDfr more interesting; but entertainment receivables feels high risk. High yield also likely from staked/unstaked mechanism, since underlying yield is like 16% $USDx ► Issuer: @AxisFDN ► Yield: 17.61% APY ► Backing: CEX/CEX Arbitrage ► Also: $13M in liquidity is nuts, they've been around (without a vault) for years. CEX risk is real. $oTFY ► Issuer: @obligatecom ► Yield: 8.75% ► Backing: Unsecured BBB bonds ► Also: I haven't signed up to see if there are a diversified set of ratings, but it's on Kamino as collateral, so I had to check it out $USD.infra ► Issuer: @dawninternet ► Yield: 9.9% APY ► Backing: AI Infrastructure (similar to USDai?) lender and ISP? ► Also: It's a bit strange, basically small internet providers take loans from Dawn to expand their networks; hard to underwrite imo $kicUSDC ► Issuer: @kamino ► Yield: 8% ► Backing: Institutional copper trade financing ► Also: I'm biased towards this because I like Kamino IMPORTANT NOTE: I'm just researching out loud, this is NOT an endorsement of any of these.

Yield in DeFi has come a long way. We used to pay a 5% deposit fee to farm 50,000% APR for a few hours (paid largely in hyperinflationary fruit). Now we're financing state tax credit receivables for the entertainment industry. Anywho, a quick look at the RWA financing meta: @kamino's kicUSDC finances institutional copper trading @HastraFi finances (and warehouses) Auto loans and Helocs. @onre and @re finance the underwriting of reinsurance @blackopal_fi finances Brazilian credit recievables @forestroadvault finances entertainment tax credit recievables @dawninternet finances developing ISP infrastructure @AxisFDN finances CEX/CEX arbitrage I can't tell if we've matured, or if we've just uncovered the degen side of tradfi in our insatiable thirst for APRs.

Early finds | Sep 30 A few names still under the radar: • @Travix_fi — AI compute + exotic RWA perps. Seed from Amber. Small but shipping. • @infiniFi — just raised another $3M+. Already generating more yield than capital raised. TGE Q4. • @forestroadvault — real-world credit onchain. $1M seed, very early. Quiet builders > loud narratives. Who else are you watching? #Web3# #Crypto# #EarlyProjects# #SeedRound# #RWA# #DeFi#

🌐 Microsoft brought 11 papers to NSDI 2026, the frontier of large-scale networked systems. This digest spans concrete advances for AI infrastructure: 4x throughput from KV-cache reuse, 3.2x over RDMA with CXL memory, and more. Title: Microsoft at NSDI 2026: Advances in large-scale networked systems URL: 📝 Overview NSDI is a leading venue for sharing new research on the design and operation of cloud, AI, and distributed application infrastructure. This post highlights Microsoft's 11 accepted papers spanning datacenter networks, wide-area networking, AI systems, and cloud infrastructure. ❓ Challenges Solved As AI workloads surge, scaling datacenter network, memory, and CPU resources while preserving reliability and cost efficiency keeps getting harder. The papers tackle that frontier from both production operation and research angles. 💡 Key Research Contributions ・DroidSpeak reuses KV caches across same-architecture language model variants for up to 4x throughput with minimal impact on output quality ・SONiC DASH SmartSwitch redesigns cloud network offloading and is deployed at scale in Azure, significantly improving power and space efficiency (community award winner) ・Octopus, a CXL disaggregated memory pod, achieves RPCs 3.2x faster than in-rack RDMA and 2.4x faster than CXL switches on three-server prototypes ・HarvestContainers dynamically harvests cores from latency-sensitive containers, using up to 75% of spare CPU while keeping tail latency within 4% of standalone 🎯 Use Cases It informs design decisions for faster LLM serving, memory disaggregation, container resource utilization, and network-protocol verification across cloud and AI infrastructure. 📊 Other Results ・Eywa used LLM-based model generation to find 33 bugs (16 previously unknown) in protocol implementations ・ForestColl generates theoretically optimal collective-communication schedules in polynomial time ・AVA is a video-analytics benchmark reaching 75.8% accuracy on 10+ hour videos ・KRAKENGUARD provides fine-grained eBPF isolation for multi-tenant security #NetworkedSystems# #AIInfrastructure#