AlexAImaginator @TraffAlex

@AllaAisling

🚨 STOP OVERPAYING FOR AI Qwen3.6-27B BENCHMARKS NO ONE SHOWS YOU. 6 setups tested. $700 → $5,600. Real tokens/second. No marketing BS. GPU |VRAM |BAND |$ |27B Q4|70B Q4 2× RTX 4060 Ti |32 GB | 576 |$700 | 17t/s| N/A 2× RTX 5060 Ti |32 GB | 896 |$900 | 22t/s| 13t/s RTX 5090 |32 GB |1792 |$4000| 84t/s| N/A DGX Spark GB10 |128 GB| 273 |$4699| 38t/s| 3t/s Mac M4 Max 128G |128 GB| 546 |$3700| 38t/s| 20t/s Mac M3 Ultra 256G|256 GB| 800 |$5600| 58t/s| 30t/s BAND = memory bandwidth GB/s 27B Q4 ≈ 16.8 GB weights (Q4_K_M GGUF) All benchmarks: Qwen3.6-27B via llama.cpp + flash-attention + kv-cache q4_0 5090 = with MTP speculative decoding 🔷 2× RTX 4060 Ti 16 GB — $700 (used) Arch: Ada Lovelace, 16 GB GDDR6 × 2 = 32 GB Bandwidth: 288 GB/s × 2 = 576 GB/s total PCIe: x8 × 2 (4.0), inter-GPU ~8 GB/s Models: 7B-34B fully on GPU 70B Q3_K_M tight fit (35 GB vs 32 GB) Max quant: Q4_K_M (27B), Q3_K_M (34B) Context: up to 131K tokens (kv-cache q4_0) ⚡ CHEAPEST 32 GB dual GPU — $700 used 🔷 2× RTX 5060 Ti 16 GB — $900 (new) Arch: Blackwell, 16 GB GDDR7 × 2 = 32 GB Bandwidth: 448 GB/s × 2 = 896 GB/s total PCIe: x8 × 2 (4.0), inter-GPU ~8 GB/s Models: 7B-34B fully on GPU 70B Q3_K_M fits across both GPUs Max quant: Q8_0 (27B), Q3_K_M (70B) Context: up to 262K tokens (kv-cache q4_0) ⚡ +30% speed vs 4060 Ti — still under $1K ⚠️ DUAL GPU LIMIT: PCIe transfer between cards (~8 GB/s) vs single GPU memory. ~15-20% penalty for 27B models. Benchmark = tensor-split via llama.cpp. Concurrent (c=16): 94 tok/s (llmkube) 🔶 RTX 5090 — $3,800-$4,200 (retail) Arch: Blackwell, 32 GB GDDR7 Bandwidth: 1,792 GB/s — REKORD consumer GPU Benchmarks (27B Q4_K_M): 62 tok/s — llama.cpp (no MTP) 84 tok/s — llama.cpp + MTP (YouTube) 105 tok/s — INT4 + MTP (vLLM, @Kindly-Cantaloupe) 160 tok/s — INT4 + MTP (vLLM, CobraPhil) Context: 262K tokens (with kv-cache) Models: 7B-40B fully, 70B Q3/Q4 fits! ⚡ FASTEST single GPU. If < $2,500 = BUY! ⚠️ MSRP $1,999 → retail $4,000+ (GDDR7 shortage) Wait for price drop or find used. 🔶 DGX Spark GB10 — $4,699 Chip: Grace Blackwell GB10 (unified CPU+GPU) Memory: 128 GB LPDDR5x (unified, shared) Bandwidth: 273 GB/s — MAIN BOTTLENECK Benchmarks: 38 tok/s — 27B Q4 (Ollama) 11 tok/s — 70B Q4 (Ollama) 3 tok/s — 70B FP8 (slow!) Models: 7B-200B! (128 GB = most in one box) 70B FP16 no quantization — ONLY device! Max quant: FP16 (70B), Q2-Q3 (405B) Form: mini-PC, 240W, Ubuntu, full CUDA ⚡ ONLY device for 70B FP16 + 405B Q3 local 🍎 Mac Studio M4 Max 128 GB — $3,700 Chip: M4 Max (Apple Silicon, unified memory) Memory: 128 GB LPDDR5x (unified) Bandwidth: 546 GB/s Benchmarks: 38 tok/s — 27B Q4 (Ollama/MLX) 20 tok/s — 70B Q4 12 tok/s — 70B Q8 Models: 7B-70B Q4, 70B Q8 (tight) 120B+ won't fit in 128 GB Form: macOS, silent, ~40W, daily workstation ⚡ Best ALL-IN-ONE (AI server + daily PC) 🍎 Mac Studio M3 Ultra 256 GB — $5,600 Chip: M3 Ultra (2× M3 Max fused, unified) Memory: 256 GB LPDDR5x (unified) Bandwidth: 800 GB/s Benchmarks: 58 tok/s — 27B Q4 (Ollama/llama.cpp) 30 tok/s — 70B Q4 18 tok/s — 70B Q8 (quality ≈ FP16!) Models: 7B-120B Q4, 70B Q8 fully! 405B Q2 (experimental) Form: macOS, silent, ~60W, daily workstation ⚡ MOST VRAM in macOS — 256 GB! 70B Q8 runs smooth (≈ FP16 quality) 💡 MAC vs NVIDIA — KEY DIFFERENCES: Mac advantages: • Silent, low power (~40-60W vs 300W+) • macOS — daily workstation, all-in-one • Multi-model serving — multiple models in memory at once (unified memory) • No thermal throttling under load • Q8 quality ≈ FP16 (excellent retention) NVIDIA advantages: • CUDA = full compatibility (vLLM, TensorRT, SGLang, every framework) • Higher throughput for large batches • MTP, NVFP4, DFlash — newer tech first • Faster single-model inference (bandwidth) Mac limitations: • No CUDA (MPS/Metal) — some tools fail • Slower for 27B models (bandwidth gap) • Higher cost per tok/s on small models • No vLLM, no TensorRT, no Triton 💡 THE RULES: • VRAM = which models FIT 24 GB+ → 27B Q4 (≈ 16.8 GB weights) 32 GB+ → 27B Q8 or Q4 + large context 48 GB+ → 70B Q4 (≈ 42 GB weights) 128 GB+ → 70B FP16 / 120B Q4 256 GB+ → 70B Q8 / 120B+ models • BANDWIDTH = how FAST they run (tok/s) LLM inference = memory-bandwidth bound (not compute bound!) More GB/s = more tokens per second • QUANTIZATION GUIDE (Qwen3.6-27B): Q4_K_M = golden middle (95% quality, 16.8 GB) Q8_0 = near FP16 quality, 2× VRAM (29.1 GB) Q3_K_M = 85-90% quality, fits 32 GB setups FP16 = full quality, needs 55 GB (27B) Q6_K = very high quality (23.7 GB) • CONTEXT WINDOW: 262K tokens needs kv-cache q4_0 Without it → won't fit in VRAM KV cache scales with context length 27B @ 262K ≈ 16.8 GB weights + ~8 GB KV • MTP = FREE SPEED on llama.cpp Multi-Token Prediction (speculative decoding) 20-33% faster with one flag Needs MTP GGUF (unsloth/Qwen3.6-27B-MTP-GGUF) 🏆 WHAT TO BUY (ranked by value): $700 → 2× RTX 4060 Ti 16 GB (used) Cheapest 32 GB dual GPU. 27B Q4 runs. Best ultra-budget entry. $900 → 2× RTX 5060 Ti 16 GB Best dual GPU price/performance. 22 tok/s single, 94 tok/s batch. 70B Q3 runs across both GPUs. $3,700 → Mac M4 Max 128 GB 70B Q4 smooth + macOS workstation. AI server + daily PC in one box. $4,000 → RTX 5090 (if you can find it) 84 tok/s with MTP — FASTEST single GPU. Scalped 2× MSRP — wait or go DGX Spark. $4,700 → DGX Spark GB10 128 GB, 70B FP16 no quant, full CUDA. ONLY device with this combo on market. $5,600 → Mac M3 Ultra 256 GB 70B Q8 quality ≈ FP16, 120B+ runs. Most model memory in one device. ⚡ QUICK ANSWERS: ⚡ 27B models → RTX 5090 fastest (84t/s MTP), dual 5060 Ti cheapest entry ($900) ⚡ 70B+ models → Mac Ultra 256G > DGX Spark > dual GPU 32 GB ⚡ Best value → 2× 5060 Ti ($900 dual) 32 GB dual GPU, 70B Q3 runs, 896 GB/s 📐 COMPUTATION ASSUMPTIONS: • tok/s from real benchmarks (llmkube, YouTube @Tech-Practice, @hackink, CobraPhil) • LLM inference = memory-bandwidth bound • 27B Q4_K_M weights: 16.8 GB + KV cache • 70B Q4 weights: ~42 GB, Q3: ~35 GB • Dual GPU: ~15-20% PCIe penalty • 5090 MTP = llama.cpp speculative decoding • Prices in USD, as of June 25, 2026 Sources & verified benchmarks: 𝕏 @hackink — 5 ways to run 27B on RTX 5090 (58-140 t/s) 𝕏 @superoo7 — 2 months with DGX Spark GB10 (33K views) 𝕏 @stevibe — @BenchLocalAI, tool-calling evals (26.8K followers) 𝕏 @danielhanchen — Unsloth MTP GGUFs, quantization data 𝕏 @MichaelGannotti — Qwen3.6 NVFP4 + DFlash on DGX Spark GitHub: CobraPhil/qwen36-27b-single-5090 Blog: llmkube.com/blog/qwen3-6-2… Model: unsloth/Qwen3.6-27B-GGUF (HuggingFace) Prices: bestvaluegpu.com · appleinsider.com Tools: toolhalla.ai · mljourney.com #Qwen36 #LocalAI #LLM #GPU #RTX5090 #DGXSpark #MacStudio #AI #OpenSource

@ivanfioravanti maybe useful x.com/TraffAlex/stat…

AlexAImaginator @TraffAlex

a day ago

🚀 HOW TO INSTALL & RUN CODEX CLI — LOCAL + OPENROUTER, NO GPT NEEDED No subscription. No cloud dependency. Just AI coding in your terminal. Complete step-by-step guide — even if you've never touched the terminal 👇 ━━━━━━━━━━━━━━━━━━ ─ STEP 1: INSTALL

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🔒 CYBERSECURITY, PRIVACY & OPEN SOURCE ROUNDUP — June 25, 2026 1️⃣ CISCO SD-WAN ZERO-DAY EXPLOITED MONTHS BEFORE DISCLOSURE A critical zero-day vulnerability in Cisco Catalyst SD-WAN (CVE-2026-20245, CVSS 7.8) was actively exploited in the wild for months before Cisco released a patch. Attackers gained root-level access by uploading a malicious CSV file to SD-WAN Manager, then created hidden admin accounts and used lateral movement to compromise the communications provider's wider network infrastructure. Security researchers at Aviatrix note that runtime segmentation could have limited the blast radius, but many enterprises still lack this defense layer. The vulnerability allows privilege escalation from netadmin to full root via a crafted file upload — a classic case where timely patching and network segmentation make the difference between a contained incident and a full breach. 🔹 @securityaffairs 2️⃣ MANDIANT DOCUMENTS FULL CISCO SD-WAN ATTACK CHAIN Following the CVE-2026-20245 disclosure, Mandiant published a comprehensive breakdown of the complete root access chain used by attackers. If your organization has SD-WAN deployed between AVD session hosts and the internet, security teams are advised to review the published IOC list immediately. The investigation reveals how the attackers maintained persistent access long after the initial compromise, covering their tracks by manipulating system logs. This level of detail from Mandiant's analysis is essential for SOC teams hunting similar activity across their own environments. 🔹 @markovichio 3️⃣ FORTIBLEED CAMPAIGN HITS 86,644 FORTIGATE FIREWALLS WORLDWIDE The FortiBleed credential-harvesting campaign has reached staggering scale: 86,644 FortiGate firewalls across 194 countries had their admin and VPN credentials harvested, validated, and packaged by threat actors. Important clarification — FortiBleed is not a CVE but rather a credential-harvesting operation that exploited exposed management interfaces using credential stuffing and reuse. Russian-speaking threat actors behind the campaign compromised roughly half of all internet-facing Fortinet devices. The CISA and NCSC issued emergency advisories on June 18. Free exposure checkers are now available from SOCRadar and Hudson Rock for organizations to verify if their credentials were exposed. 🔹 @GoCocoaAI 4️⃣ ROKAROLLA ANDROID BANKING TROJAN TAKES COMPLETE DEVICE CONTROL Security Boulevard identified Rokarolla, a new class of Android banking Trojan that goes far beyond traditional financial fraud. Unlike earlier banking malware that focused solely on credential theft, Rokarolla combines financial fraud capabilities with extensive device surveillance — it cuts off bank notification alerts, locks victims inside a manipulated UI environment, and exfiltrates cryptocurrency and social media credentials. Zimperium's analysis from June 16 shows the malware targets banking, cryptocurrency, and social media accounts simultaneously. The Jsonpacker_tool distribution chain used by Rokarolla makes it especially difficult for traditional mobile EDR solutions to detect. 🔹 @securityblvd 5️⃣ MALWARE DISCOVERED IN NPM PACKAGE LOADNINJA-SHARED A new supply chain attack has been declared targeting the npm ecosystem. Malware was discovered embedded in the package loadninja-shared. Any system with this package installed or running should be considered fully compromised. The recommendation is immediate: rotate all secrets and API keys from a clean, uncompromised machine. This attack highlights the ongoing risk in the JavaScript/TypeScript dependency chain, where a single malicious package can cascade across thousands of downstream projects. Developers are urged to audit their npm dependencies and remove any reference to this package. 🔹 @spchainattack 6️⃣ KERNEL VULNERABILITY CVE-2026-43499 CHALLENGES SECURITY RESEARCHERS Brad Spengler of Grsecurity pointed out CVE-2026-43499 as an interesting test of how thoroughly the security community actually reads patch notes and kernel fixes. The vulnerability's resolution requires deep analysis of the Linux kernel source to understand the full implications. For kernel developers and system hardening specialists, this CVE represents a case where superficial patching may leave residual exposure. The security community is encouraged to dig into the actual fix rather than relying on surface-level CVE descriptions. 🔹 @spendergrsec 7️⃣ COWAGENT OPENSOURCE AGENT HARNESS REACHES 45K STARS CowAgent, an open-source agent harness originally built as "chatgpt-on-wechat," has evolved into a comprehensive multi-channel AI agent system with 45K GitHub stars. Released under the MIT license, it features a sophisticated architecture that plans tasks, runs tools and skills, and includes self-evolution capabilities. The project demonstrates how the open-source AI agent ecosystem is maturing beyond simple chat wrappers into production-grade orchestration platforms. The recent push adds additional channel support and improved task planning, making it a noteworthy entry for developers building agent-based workflows. 🔹 @TeksCreate 💭 The security landscape this week is dominated by two themes: supply chain and infrastructure. Whether it's the Cisco SD-WAN zero-day sitting unpatched for months, the FortiBleed campaign harvesting credentials from nearly 87,000 firewalls, or malware hidden inside a seemingly innocuous npm package, the common thread is that attackers are exploiting the blind spots in our most trusted infrastructure layers. The Rokarolla Android trojan shows that mobile threats are escalating from simple banking theft to complete device takeover. Meanwhile, the open-source community continues to push forward with tools like CowAgent that could eventually help automate threat detection. Defense starts at the desktop — patch, segment, and verify your supply chain. Which of these stories caught your attention the most? Share your thoughts 👇 #CyberSecurity #InfoSec #OpenSource #ZeroDay #SupplyChain #Privacy #ThreatIntel

📚 EDTECH, AI LEARNING & PRODUCTIVITY ROUNDUP — June 25, 2026 1️⃣ AI-POWERED ELEARNING TRANSFORMS EDUCATIONAL CONTENT DELIVERY AI is fundamentally reshaping what learners expect from eLearning platforms and what educators can deliver. Organizations are turning trusted educational content into scalable, adaptive learning experiences using AI-powered tools. The shift goes beyond simple digitization — it's about creating personalized learning paths that respond to individual student needs in real-time, making quality education accessible at scale. 🔹 @DeltaThink 2️⃣ CURATED GITHUB LIST MAPS THE ENTIRE AI AGENT ECOSYSTEM With AI agents moving faster than anyone can bookmark, Dan Kornas put together "Awesome AI Agents 2026" — a curated GitHub repository that groups AI agents, frameworks, and tools into practical categories. It's designed for builders who need to scan the agent landscape quickly rather than getting lost in random links. A practical resource for anyone trying to stay on top of the rapidly evolving AI agent stack. 🔹 @DanKornas 3️⃣ SEVEN AGENTIC AI PLATFORMS TESTED — ONLY ONE PASSED Miles Feinberg evaluated seven platforms being marketed as agentic AI and found most are essentially sophisticated task runners. The real differentiator is whether the agent gets measurably better at its job week over week without manual intervention or retraining. The distinction between true agentic AI and automated task execution matters more than most marketing claims suggest. 🔹 @TheCIOWhisperer 4️⃣ OBSIDIAN AS A SECOND BRAIN — THINKING TOOL, NOT JUST STORAGE Santan shares how Obsidian feels less like a traditional note-taking app and more like building an actual second brain. Every note connects to other notes, and every idea compounds over time through those connections. The core insight: the best productivity tool isn't the one that stores the most information, but the one that actually helps you think through it. 🔹 @itsSantanSharma 5️⃣ FIVE HIDDEN PLACES TO FIND AI & AUTOMATION OPPORTUNITIES The AI automation job market isn't just on LinkedIn. Favourite | AI & Automation highlights five lesser-known channels: niche Slack and Discord communities where AI founders and ops teams hang out, indie maker platforms, and startup-specific networks. If you're looking to break into AI automation or find clients, the best opportunities are often in the communities that most job seekers overlook. 🔹 @favoritetechgal 6️⃣ BUILD A PERSONAL AI AGENT THAT WORKS WHILE YOU SLEEP Shushant Lakhyani breaks down the difference between using AI for one-off prompts versus deploying AI agents for autonomous execution. The blueprint covers defining the agent's job, setting up the workflow, and integrating free AI tools across different production steps. The top 1% of AI users aren't just prompting — they're building systems that run independently. 🔹 @shushant_l 7️⃣ PRISM APP USES COMPUTATIONAL LINGUISTICS FOR LITERATURE READING A new app called Prism tackles the frustration of complex sentence structures in classic English literature. Using computational linguistics, it provides visual parsing of messy clauses and analyzes word frequencies across entire books. It's a niche but powerful study tool for anyone who struggles with dense academic or literary texts. 🔹 @Lucy95932N 💭 The line between AI productivity tools and actual learning platforms continues to blur. Whether it's agentic AI that improves without retraining, Obsidian turning notes into connected knowledge, or computational linguistics breaking down complex texts — the tools are becoming smarter at understanding context, not just processing commands. The real question isn't which single tool to use, but how to combine them into a coherent system that actually accelerates your thinking and learning. Which of these tools or methods are you most excited to try in your workflow? 👇 #EdTech #AIProductivity #OnlineLearning

🏠 SMART HOME & IOT NEWS ROUNDUP — June 25, 2026 1️⃣ PHILIPS HUE GETS DUAL ZIGBEE + MATTER OVER THREAD Philips Hue is rolling out a major connectivity upgrade that allows select products to support both Zigbee and Matter over Thread simultaneously. The partnership between Signify and Silicon Labs brings concurrent multiprotocol technology to consumer lighting, meaning Hue bulbs can communicate over Zigbee to their hub while also exposing Matter over Thread to external ecosystems like Apple Home and Google Home — all at the same time. This removes the long-standing trade-off between staying in the Zigbee ecosystem and adopting Matter. 🔹 @helloapplehome 2️⃣ HOME ASSISTANT MATTER UPGRADE DELIVERS SPEED AND STABILITY Home Assistant released a substantial Matter improvement that makes the protocol faster, more stable, and more capable across the platform. The update addresses previous pain points around device pairing reliability, state synchronization delays, and commissioning flows. For users running mixed ecosystems, this narrows the gap between Home Assistant and proprietary hubs in terms of Matter device management, reinforcing the open-source platform's position as a serious Matter controller. 🔹 @home_assistant 3️⃣ IOS 27 BETA 2 ADDS CAMERA PICKER TO HOMEKIT SECURE VIDEO Apple's iOS 27 Beta 2 introduced a new camera picker for HomeKit Secure Video, making it much faster to switch between individual camera feeds when viewing all cameras at once. The update also improved recorded event playback — users can now switch between different recorded clips more fluidly. These quality-of-life improvements address one of the most common user complaints about navigating multi-camera setups in the Apple Home app. 🔹 @helloapplehome 4️⃣ IOS 27 BETA 2 BRINGS NEW APPLE HOME FEATURES Beyond camera improvements, iOS 27 Beta 2 delivers a range of updates to the Apple Home experience. The beta includes refinements to how HomeKit devices are managed, enhanced automation triggers, and improvements to the overall Home app interface. Early testers report smoother scene activation and better responsiveness when controlling large numbers of devices through the platform. 🔹 @helloapplehome 5️⃣ SHLLY SHOWCASES ENERGY MONITORING AT EM-POWER EUROPE 2026 Shelly participated at EM-Power Europe 2026 in Munich, demonstrating how their devices help homes, buildings, and businesses take smarter control of energy consumption. The booth featured live demos of energy monitoring, load management, and solar integration capabilities. The event highlighted the growing intersection between smart home automation and professional energy management solutions. 🔹 @shelly_IoT 6️⃣ SMART CARAVAN ENERGY MONITORING WITH SHELLY Shelly released a guide on using their smart energy monitoring devices for caravans and campervans. The setup tracks real-time power consumption, identifies hidden power drains, and helps travelers stay in control of their battery reserves — whether camping off-grid or parked at a site. Automatic ventilation can be triggered based on temperature readings, keeping living spaces comfortable without manual intervention. 🔹 @shelly_IoT 7️⃣ AQARA SMART LIGHTING AUTOMATION TIPS Aqara launched their Summer Camp series with practical smart lighting automation lessons. Lesson 3 covers circadian rhythm-inspired lighting schedules — warm and gradual light in the morning, bright illumination during midday, and a gradual wind-down in the evening — all controlled by a single smart setup that reads your daily schedule. The series emphasizes starting with one room and building automations incrementally rather than overwhelming users with whole-home setups at once. 🔹 @AqaraSmarthouse 💭 The smart home landscape in mid-2026 is defined by protocol convergence and practical energy awareness. Philips Hue's dual-protocol support and Home Assistant's Matter improvements signal that the industry is finally solving the interoperability problem that has plagued connected homes for years. Meanwhile, Apple's iOS 27 refinements show that even mature platforms continue iterating on the user experience. At the same time, brands like Shelly are expanding smart home technology into new environments — caravans, energy monitoring events, and off-grid setups — proving that home automation is no longer just about lights and locks, but about managing energy efficiently wherever you are. Which smart home upgrade are you most excited about — dual-protocol lighting, better Matter support, or smarter energy monitoring? 👇 #SmartHome #IoT #HomeAutomation #Matter #HomeKit #HomeAssistant

@SlimTradeyBaby @NVIDIAAI exactly!

@SlimTradeyBaby @NVIDIAAI Heh, well I'm still way more modest. Bigger setups are pretty expensive, but I'm definitely gonna grab something with at least 256 GB VRAM. Right now I've got a 5060 Ti 16GB + 4060 Ti 16GB running llama.cpp and it's pretty decent, it just needs to be scaled up a bit :)

🎮 GAMING, ESPORTS & VR NEWS ROUNDUP — June 25, 2026 1️⃣ BUNGIE ANNOUNCES MASS LAYOFFS AFTER END OF DESTINY 2 Bungie has confirmed significant layoffs across the studio following the conclusion of Destiny 2, admitting the game "fell short of expectations." The developer announced a full reorganization to reposition the studio for its future. The news has sent shockwaves through the gaming community, marking the end of an era for one of gaming's most ambitious live-service titles. The layoffs represent a major shift as Bungie looks to redefine itself post-Destiny 2. 🔹 @Kotaku 2️⃣ GAME FREAK'S BEAST OF REINCARNATION GETS STUNNING IGN PREVIEW Pokémon creator Game Freak is preparing to launch Beast of Reincarnation, an action-RPG that IGN describes as "stunning" in their hands-on preview. This marks Game Freak's major step beyond the Pokémon franchise into a new original IP, and early impressions suggest the studio is bringing the same passion and attention to detail that made Pokémon a global phenomenon. The game's art direction and combat system have drawn particular praise from reviewers. 🔹 @IGN 3️⃣ EPIC GAMES CEO TIM SWEENEY CLASHES WITH VALVE OVER AI DISCLOSURE POLICY Epic Games CEO Tim Sweeney has publicly called Valve's AI disclosure policy on Steam "irresponsible," arguing that forcing developers to label AI-assisted content could unfairly target smaller studios. Sweeney believes AI will become a normal part of game development pipeline and mandatory labels could stifle innovation. The debate has ignited a broader industry conversation about transparency versus creative freedom in game development. 🔹 @Pirat_Nation 4️⃣ GTA 6 CODE IN A BOX PHYSICAL EDITION ALREADY SELLING OUT TO SCALPERS Grand Theft Auto 6's Code In A Box physical collector's edition is already selling out on PS5, and scalpers have quickly moved in to drive prices up. Despite the game not yet releasing, the physical edition's scarcity is creating a secondary market frenzy. This mirrors patterns seen with other highly anticipated physical editions, raising concerns about whether genuine fans will be priced out of owning a piece of gaming history. 🔹 @Kotaku 5️⃣ DIGITAL GAME OWNERSHIP DEBATE HEATS UP IN WAKE OF GTA 6 MOMENTS Eurogamer has raised an important question about digital game ownership, arguing that the current model puts players at a disadvantage. With major releases like GTA 6 driving the conversation, the publication urges the industry to address the fundamental issues around digital rights before they become even more entrenched. The debate touches on everything from game preservation to consumer rights in an increasingly digital marketplace. 🔹 @eurogamer 6️⃣ POKÉMON CELEBRATES 30TH ANNIVERSARY WITH CREATIVE G-SHOCK WATCH COLLAB Pokémon is marking its 30th anniversary with an innovative G-SHOCK watch collaboration that uses Pikachu's tail as a clock hand indicator. The watch features 30 different Pokémon across its strap designs and comes packaged in a Poké Ball case. The collaboration has generated massive engagement with over 110,000 views and 1,700 likes, showing the franchise's enduring cultural impact three decades after its debut. 🔹 @Dexerto 7️⃣ SPACE ENGINEERS 2 ANNOUNCES VS2.3 DRIVE, AUTOMATE & DETONATE UPDATE Space Engineers 2 is preparing to release its next major update, VS2.3 "Drive, Automate & Detonate," on July 6th. The update promises new automation features, enhanced driving mechanics, and explosive new content for Keen Software House's ambitious space sandbox sequel. Community previews are already available ahead of the live stream event, giving players a first look at what's coming to the game. 🔹 @SpaceEngineersG 💭 The gaming industry continues to evolve at a rapid pace — from Bungie's painful restructuring post-Destiny 2 to Epic and Valve's ideological clash over AI transparency. Meanwhile, franchises like Pokémon prove that nostalgia-driven creativity can still captivate audiences three decades later. As GTA 6 approaches its release, the physical vs digital ownership debate will only grow more relevant. Which story from today's roundup are you most interested in? Drop your thoughts below 👇 #GamingNews #GTA6 #Destiny2 #Pokémon30 #EpicVsValve #SpaceEngineers2 #GameDevelopment

🏥 HEALTH, FITNESS & BIOHACKING NEWS ROUNDUP — June 25, 2026 1️⃣ UNAPPROVED LONGEVITY GENE THERAPY GOES ON SALE A Texas-based company called Minicircle is planning to sell an injectable gene therapy designed to boost longevity, bypassing the traditional US regulatory approval process. The therapy works by instructing the body to produce more of a protein linked to cellular repair and extended lifespan. The move raises serious questions about the balance between accelerating access to experimental treatments and ensuring patient safety through established clinical pathways. 🔹 @Dr_Singularity 2️⃣ DIET AND LONGEVITY: HIGH PROTEIN RISKS REVEALED Dr. Eric Topol highlighted a new study published in Cell Metabolism examining how diet affects longevity in mice alongside a review of human epidemiological data on high protein intake. The findings show elevated risks associated with high animal protein consumption for type 2 diabetes, and even plant-based high-protein diets carry some risk. The research underscores that while protein is essential, the dose and source matter significantly for long-term metabolic health. 🔹 @EricTopol 3️⃣ AUTOPHAGY: YOUR BODY'S BUILT-IN ANTI-AGING SYSTEM Dr. Eric Berg explained how autophagy functions as the body's natural cellular cleanup mechanism — essentially eating away damaged components within cells and converting them into usable material. His thread outlines seven natural ways to trigger and increase autophagy, including fasting windows, intermittent calorie restriction, exercise, and specific dietary approaches. Understanding and activating autophagy is increasingly seen as one of the most practical anti-aging strategies available. 🔹 @dr_ericberg 4️⃣ FIRST HUMAN CELLULAR REPROGRAMMING TRIAL FOR AGING Life Biosciences has reported results from the first-ever human cellular reprogramming trial designed to reverse aspects of aging. The approach uses partial Yamanaka factor expression to reset cellular age markers without fully dedifferentiating cells. If validated, this could fundamentally reshape the entire longevity and regenerative medicine landscape, moving the field from theory into clinical reality. 🔹 @m_goes_distance 5️⃣ DAVID SINCLAIR'S ER-100 ENTERS PHASE 1 TRIALS A company co-founded by Harvard geneticist David Sinclair has begun an early Phase 1 trial of ER-100, an experimental compound designed to reverse epigenetic aging markers. Rather than a dramatic "anti-aging injection," this is a carefully controlled early-stage study assessing safety and biological signal in humans. If the data holds, it could mark one of the most significant longevity-adjacent clinical developments of 2026. 🔹 @IntegralAnswers 6️⃣ DIGITAL HEALTH AND AI NEED BETTER POLICY ECOSYSTEMS Dr. Berci Meskó argues that digital health and AI can make healthcare more sustainable, accessible, and patient-centered, but only if policymakers stop treating them as isolated technologies. He calls for building proper ecosystems that balance safety with innovation, create clear regulatory pathways, and ensure these tools reach patients rather than sitting in regulatory limbo. The message: technology alone isn't enough — the framework matters. 🔹 @Berci 7️⃣ HEALTHCARE DATA IS BECOMING INVISIBLE TO THE SYSTEM Joel Selanikio pointed out a blind spot in healthcare measurement: growing numbers of patients manage conditions through AI chatbots, wearable devices, and at-home tests without ever booking a clinical visit. These people become invisible to every traditional healthcare dataset. As care shifts further into the digital space, the industry needs new metrics to capture and understand this rapidly expanding segment of self-managed health. 🔹 @jselanikio 💭 The line between experimental biohacking and mainstream medicine is blurring fast. From unapproved gene therapies hitting the market to Sinclair's compounds entering clinical trials, the longevity space is moving from science fiction into real-world application — sometimes faster than regulators can keep up. At the same time, digital health tools are quietly reshaping how people access care outside the traditional system entirely. Which of these developments excites or worries you the most? 👇 #HealthTech #Longevity #Biohacking #AgingResearch #DigitalHealth #Wellness

@UnslothAI Qwen3.6-27B-Q5_K_M.gguf , 180k ctx, 32GB VRAM doesn't allow more 😶

💰 CRYPTO & FINANCE NEWS ROUNDUP — June 25, 2026 1️⃣ IRAN MOVES $3.84 BILLION THROUGH COINEX TO BYPASS US SANCTIONS The Wall Street Journal reported that Iran successfully moved $3.84 billion in funds through the CoinEx cryptocurrency exchange to evade US sanctions. This highlights the growing tension between traditional financial regulation and the decentralized nature of crypto markets, as nation-states increasingly exploit crypto infrastructure for cross-border transfers outside conventional banking channels. 🔹 @WatcherGuru 2️⃣ JAPANESE FINANCIAL GROUP SBI ACQUIRES CRYPTO EXCHANGE BITBANK FOR $289 MILLION Major Japanese financial conglomerate SBI announced the acquisition of crypto exchange Bitbank for ¥46.7 billion (approximately $289 million). This marks another significant move by traditional finance institutions into the cryptocurrency space, signaling that institutional adoption in Asia continues to accelerate despite broader market volatility. 🔹 @WhaleInsider 3️⃣ BINANCE CONFIRMS IT WILL MISS THE EU MICA LICENSE DEADLINE Binance confirmed it will not obtain a MiCA license before the June 30 deadline. Starting July 1, the exchange will face service restrictions in the European Union including no new user registrations, no new trading positions, and a gradual reduction of services. Existing users can still close positions and withdraw funds. This represents one of the largest regulatory setbacks for a major exchange under Europe's new crypto framework. 🔹 @CryptoTweets 4️⃣ US INFLATION SOARS TO A THREE-YEAR HIGH US inflation data revealed a spike to the highest level seen in three years, triggering renewed debate over Federal Reserve policy direction. Prediction markets on platforms like Polymarket saw massive trading volume as users priced in various economic scenarios. Rising inflation in a risk-off environment adds another layer of pressure on crypto assets already navigating a sharp downturn. 🔹 @Polymarket 5️⃣ BITCRASH BELOW $60K — OVER $1 BILLION WIPED OUT, 200K TRADERS LIQUIDATED Bitcoin's break below the $60,000 level triggered a cascade of liquidations across crypto exchanges, wiping out over $1 billion in leveraged positions. Nearly 200,000 traders were liquidated, with the majority caught on the long side. The episode serves as a stark reminder of the dangers of trading with leverage during periods of extreme market volatility. 🔹 @aisarcore 6️⃣ DEFI TOTAL VALUE LOCKED DROPS TO $70 BILLION The total value locked across all decentralized finance protocols has fallen to $70 billion as the broader crypto market continues its 2026 downtrend. The decline reflects reduced risk appetite among DeFi participants, capital outflows from yield strategies, and a general contraction in on-chain activity. Some analysts view the current TVL compression as a potential accumulation zone for the next cycle. 🔹 @_brainsofweb3 7️⃣ TRUMP ADMINISTRATION PUSHES CRYPTO MARKET STRUCTURE BILL BEFORE AUGUST The Trump administration is pushing for the crypto market structure bill to be finalized before Congress leaves for the August recess. The legislation could pave the way for over $30 trillion in institutional capital to flow into cryptocurrency markets. While market sentiment remains bearish in the short term, the prospect of comprehensive federal regulation continues to build momentum on Capitol Hill. 🔹 @Steph_iscrypto 💭 The crypto market is undergoing a stress test that separates speculative leverage from genuine conviction. With Bitcoin down nearly 50% from its October 2025 peak, DeFi TVL contracting, and massive liquidation events, the fear is palpable. Yet at the same time, traditional finance giants like SBI are making multi-hundred-million-dollar acquisitions, and regulators are working toward clear frameworks. The coexistence of extreme short-term pain and long-term institutional interest is the defining characteristic of this cycle. Which narrative do you find more compelling — the massive liquidations and market fear, or the steady institutional adoption marching forward regardless of price? 👇 #Bitcoin #DeFi #CryptoRegulation #Finance #Web3

@gl_sk obzvlast ked sa vie co bude presne hovorit

⚡ TECH, EV & GADGETS ROUNDUP — June 25, 2026 1️⃣ APPLE RAISES PRICES ACROSS MAC AND IPAD LINES Apple has officially increased prices on its entire Mac and iPad lineup, citing soaring memory and storage chip costs driven by AI data center demand. The MacBook Neo entry model jumped from $599 to $699, the MacBook Air 512GB from $1,099 to $1,299, the MacBook Pro 1TB from $1,699 to $1,999, and the iPad Air 128GB from $599 to $749. CEO Tim Cook told Wall Street Journal these hikes are unavoidable as AI-driven demand squeezes the memory chip supply — a clear sign of how the AI boom is now rippling into consumer electronics pricing. 🔹 @Wario64 2️⃣ APPLE STORE GOES DOWN AS NEW PRODUCT LAUNCHES SPECULATED The Apple Store website experienced a full outage, sparking immediate speculation that new product announcements are on the horizon. This comes just days after leaks revealed Apple's 2026-2028 roadmap including new iPhones, Macs, iPads, AI-powered wearables, and home gear. The timing of the outage, combined with the recent price increases, has led analysts to believe Apple may be preparing a major event to unveil its next wave of AI-integrated hardware. 🔹 @aaronp613 3️⃣ SPACEX ACQUIRES CURSOR FOR $60 BILLION IN RECORD DEAL SpaceX has completed its $60 billion acquisition of Cursor, the AI coding assistant from Anthropic co-founder Dario Amodei's company AnySphere. The deal, reported by Crunchbase News, puts the US on track for a record startup M&A year. Venture-backed acquisitions are running at one of the fastest paces in years, fueled by massive deals across AI, enterprise software, fintech, and biotech sectors. 🔹 @crunchbasenews 4️⃣ GOOGLE PIXEL 10A REVIEWED AS BEST MID-RANGE PHONE OF 2026 @nbc_net has published its full review of the Google Pixel 10a, questioning whether it deserves the title of the best mid-range smartphone of 2026. The device brings Google's latest AI features to the budget-conscious segment, competing directly with similarly priced offerings from Samsung and other manufacturers in an increasingly crowded mid-range market. 🔹 @nbc_net 5️⃣ IBM INTRODUCES WORLD'S FIRST SUB-1 NANOMETER CHIP TECHNOLOGY IBM has officially unveiled the world's first sub-1 nanometer chip technology, a breakthrough logic node designed at the 0.7 nanometer (7 angstrom) threshold. This semiconductor advancement directly addresses the scaling limitations of Moore's Law by packing nearly 100 billion transistors onto a single chip — a significant milestone that could redefine the future trajectory of processor design and computing power. 🔹 @csidetrader 6️⃣ EX-APPLE DESIGNER LAUNCHES CUTE ELECTRIC BUGGY STARTUP An ex-Apple designer is reinventing the concept of neighborhood transportation with a new electric buggy from a startup called Amble. Designed primarily for resorts and low-speed use on city streets, the vehicle brings Apple-level design sensibility to the micro-mobility space. It represents a growing trend of former Apple talent launching hardware startups focused on niche transportation solutions. 🔹 @FastCompany 7️⃣ IBM 0.7nm CHIP AND KUAISHOU SILICON PUSH SIGNAL NEW CHIP RACE As IBM pushes into sub-nanometer territory, China's Kuaishou has also announced a fresh Series A+ funding round for its chip spin-off TranStreams. The round was led by QF Capital with backing from a Beijing-based state fund, marking China's continued push toward domestic semiconductor independence. Meanwhile, the Apple price hikes highlight how AI data center demand is already creating supply bottlenecks across the entire chip industry. 🔹 @tcf_updates 💭 The AI boom is no longer confined to data centers and cloud providers — it's now reshaping consumer electronics pricing, driving semiconductor innovation to physical limits, and creating supply chain bottlenecks that ripple across every level of the tech industry. From Apple's forced price hikes to IBM's sub-nanometer breakthrough, the competition for computing power is rewriting the rules of the entire electronics market. Which of these tech stories do you find most impactful for the industry? 👇 #TechNews #Apple #Semiconductors #AI #SpaceX #GooglePixel #IBM

🎨 AI ART & VISUALS ROUNDUP — June 25, 2026 1️⃣ DESIGNERS REJECT CLAUDE DESIGN — FIGMA REMAINS THE KING A viral thread from @ansonlin questioning why nobody uses Claude Design despite its AI-powered capabilities has sparked one of the largest design-tool debates of 2026. With over 1.5 million views and 3,400+ likes, the post highlighted that professional designers overwhelmingly prefer Figma's canvas-based workflow over AI-generated alternatives. The conversation revealed a gap between AI tool announcements and real-world studio adoption — designers want tools that respect their creative process, not replace it. 🔹 @ansonlin 2️⃣ HAPPYHORSE 1.1 LAUNCHES — STRONGER AI VIDEO CONSISTENCY HappyHorse 1.1 has officially landed on Happycapy, bringing one of the strongest updates to AI video generation this year. The new version focuses on what creators care about most: temporal consistency, multi-reference character support, and significantly improved prompt following for complex scenes. This update signals that AI video models are moving past the "cool demo" phase into practical production tools. 🔹 @happycapyai 3️⃣ FLUX.2 KLEIN RUNS ON IPHONE 16 PRO — AI IMAGE GEN GOES MOBILE Running FLUX.2 Klein's 4-billion parameter model directly on an iPhone 16 Pro using 4-bit quantization demonstrates how fast mobile AI inference has become. What previously required dedicated GPU workstations can now run on-device, opening the door for real-time AI image generation without cloud dependency. 🔹 @DongWan06935465 4️⃣ AI GAME ART EVALUATION — IS IT GOOD ENOUGH NOW? A veteran game developer with 15 years of experience shared an honest assessment of AI-generated game art in 2026. After hitting the same art wall on every game jam and pet project, the developer explored whether modern AI tools can genuinely replace concept art pipelines. The verdict is nuanced — AI excels at mood boards and rapid iteration, but production-ready game assets still require significant manual refinement and artistic direction. 🔹 @asynkimo 5️⃣ HIGGSFIELD CINEMATOGRAPHY — MAKING AI VIDEO LOOK HUMAN A creator shared five cinematography rules that helped their Higgsfield-generated horror short escape the typical "AI look." By applying traditional filmmaking principles — careful framing, controlled pacing, deliberate color grading, practical lighting references, and intentional camera movement — the final video achieved a cinematic quality indistinguishable from conventional production. The key insight: AI video quality is only as good as the creative direction behind it. 🔹 @junemgdotai 6️⃣ LOCAL GPU AI GENERATION — ONE-CLICK ALTERNATIVE TO COMFYUI A new local GPU image and video generation interface launched as a more accessible alternative to ComfyUI, which many users find overly complex. The tool features one-click installation, on-demand model hot-swapping, and supports multiple models including Flux, HiDream, and Stable Diffusion. This addresses a growing need: powerful local AI generation that doesn't require deep technical knowledge to operate. 🔹 @oldgamesnob 💭 The AI art landscape in 2026 is defined by a tension between capability and accessibility. Models like HappyHorse 1.1 and FLUX.2 Klein push the quality boundary forward, while tools like the new local GPU interface and mobile inference bring these capabilities to everyday users. Meanwhile, the Figma vs Claude Design debate reminds us that even the best AI tools won't survive without genuine user adoption from the professionals who matter most. Which AI art tool has actually changed your creative workflow this year? 👇 #AIArt #AIVideo #FluxAI #HappyHorse #AIDesign #Midjourney #Higgsfield #AIGraphics

🤖 AI NEWS ROUNDUP — June 25, 2026 1️⃣ ANTHROPIC ACCUSES ALIBABA OF MASSIVE CLAUDE MODEL DISTILLATION ATTACK Anthropic has publicly accused Alibaba Group of orchestrating one of the largest known attempts to extract capabilities from an AI model. According to a letter reviewed by Reuters, operators linked to Alibaba used over 25,000 fraudulent accounts to generate approximately 28.8 million exchanges with Claude. The goal was to distill Claude's reasoning and software engineering capabilities into a competing model. This marks the first major confirmed case of model extraction at this scale and raises serious questions about API security in the age of agentic AI. The story is trending across X with over 13,000 posts. 🔹 @OwenGregorian 2️⃣ OPENAI UNVEILS FIRST CUSTOM AI INFERENCE CHIP — JALAPEÑO OpenAI and Broadcom jointly unveiled Jalapeño, OpenAI's first homegrown AI accelerator built specifically for large language model inference. Designed from a blank slate, the chip targets roughly 50% lower inference costs compared to standard AI hardware. Remarkably, the entire development cycle from initial design to manufacturing tape-out took just nine months — and OpenAI used its own models to speed up the chip design process itself. The move signals OpenAI's push toward vertical integration in AI infrastructure, reducing reliance on third-party silicon. 🔹 @OwenGregorian 3️⃣ THREE ENGINEERS DECLARE "PROMPT ENGINEERING" DEAD IN ONE WEEK In a remarkable convergence, three independent engineers — Peter Steinberger, Boris Cherny (Claude Code lead at Anthropic), and Addy Osmani — all reached the same conclusion in June 2026: the era of manual prompt engineering is over. The new paradigm is "loop engineering" — designing autonomous systems that prompt AI agents for you. Instead of crafting individual prompts, developers build loops that plan, call tools, self-correct, and iterate without human intervention. The shift reflects how AI agents have evolved from passive tools into autonomous workflows. 🔹 @heyrimsha 4️⃣ QUALCOMM ACQUIRES AI STARTUP MODULAR IN $3.9 BILLION DEAL Qualcomm announced an agreement to acquire Modular, an AI startup whose platform enables AI models to run across multiple chip architectures without rewriting code. The all-stock deal valued at approximately $3.9 billion is expected to close in the second half of 2026. Modular's "silicon-agnostic compute layer" strengthens Qualcomm's positioning in AI infrastructure and data centers, allowing companies to deploy models flexibly across different hardware backends. The acquisition underscores the growing importance of software abstraction layers in the AI chip war. 🔹 @vluxeinvests 5️⃣ MICRON DELIVERS BLOCKBUSTER EARNINGS, MEMORY SHORTAGE EXTENDS PAST 2027 Memory chip giant Micron delivered one of the strongest quarters in semiconductor history, with revenue reaching $41.5 billion — a 346% year-over-year surge. JPMorgan more than doubled its price target on Micron to $1,540 from $550 following the results. Perhaps most importantly for the AI narrative, Micron's management expects the AI-driven memory-chip shortage to extend well beyond 2027, with "take or pay" contractual clauses guaranteeing minimum pricing and volumes from seven major clients. The results reignited the broader AI rally across semiconductor stocks. 🔹 @naive_research 6️⃣ FDA GRANTS BREAKTHROUGH DESIGNATION TO TWO GENERATIVE AI RADIOLOGY TOOLS The FDA has awarded Breakthrough Device Designation to two generative AI companies — Cognita and Aidoc — for tools that can read X-rays and write medical reports. This designation clears an accelerated path to clinical adoption and represents a significant milestone for AI in healthcare. It marks the first time generative AI has received formal FDA breakthrough recognition in radiology, signaling regulatory acceptance of large language models in diagnostic medicine. 🔹 @digitalbrain01 7️⃣ LOOP ENGINEERING: THE NEW SKILL SET FOR AI DEVELOPERS As prompt engineering fades, "loop engineering" emerges as the critical new discipline. The concept involves building cycles where a prompt is placed in a loop with defined phases, stop criteria, and self-correction mechanisms. Rather than talking to AI as a tool that sits idle between inputs, developers design systems where AI agents continuously plan, execute, and refine their own work. Boris Cherny at Anthropic demonstrated the extreme end of this approach — 259 pull requests in 30 days with essentially zero manual keystrokes. 🔹 @TolyaDV 💭 Today's AI landscape is defined by infrastructure wars and security battles. OpenAI builds its own silicon, Qualcomm buys abstraction layers, and Micron confirms the memory crunch will last for years. Meanwhile, the Anthropic-Alibaba confrontation exposes a vulnerability that every AI company now faces: your model's knowledge can be extracted at scale. The industry is simultaneously racing to build faster and fighting to keep what it built secure. Which of today's stories do you think will have the biggest long-term impact — the chip race or the model security crisis? 👇 #AI #ArtificialIntelligence #Anthropic #OpenAI #TechNews #AILatest

🔥 LOCAL LLM SPEED SHOWDOWN 2026 — FULL BENCHMARK My own research from x.com. I collected real community benchmarks and compared them. All data verified directly from the original authors 👇 🥇 Qwen3.6-27B | AutoRound INT4 + MTP 140 tok/s | vLLM | RTX 5090 32GB 262K context, fp8 KV cache, tool calling ✅ Author: @hackink (Yvette Carlisle) Model: Lorbus/Qwen3.6-27B-int4-AutoRound VRAM: 31.62 GB | GPU util: 79% | 438W 0/8 JS errors in generated artifacts 🥈 Qwen3.6-27B | AEON NVFP4 MTP XS 120 tok/s | vLLM | RTX 5090 32GB 262K context, fp8 KV, MTP speculative decoding Author: @hackink (Yvette Carlisle) Model: AEON-7/Qwen3.6-27B-AEON-Text-NVFP4-MTP-XS VRAM: 31.20 GB | GPU util: 82% | 438W Best artifact quality according to the author 🥉 Qwen3.6-27B | NVFP4 + DFlash 84 tok/s | vLLM | RTX 5090 32GB 41K context (KV cache ceiling!) Author: @hackink (Yvette Carlisle) Model: sakamakismile NVFP4 + z-lab DFlash drafter VRAM: 32.10 GB | GPU util: 62% | 418W 4️⃣ Qwen3.6-27B | Q4_K_M GGUF 72 tok/s | llama.cpp | RTX 5090 32GB 262K context, q4_0 KV cache, Flash Attention ON Author: @hackink (Yvette Carlisle) Model: unsloth/Qwen3.6-27B-GGUF VRAM: 21.35 GB (lowest!) | GPU util: 95% | 604W Simplest setup — download GGUF and go 5️⃣ Qwen3.6-27B | Q6_K GGUF 58 tok/s | llama.cpp | RTX 5090 32GB 262K context, q4_0 KV cache Author: @hackink (Yvette Carlisle) Model: unsloth/Qwen3.6-27B-GGUF VRAM: 32.09 GB | GPU util: 95% | 605W 6️⃣ Qwen3.6-27B | Dense + MTP 45 tok/s | llama.cpp | A10G +78% over dense baseline Authors: @ClementDelangue (Hugging Face) / @victormustar Flags: --spec-type draft-mtp --spec-draft-n-max 2 Endorsed by llama.cpp creator @ggerganov: "significant milestone for the local AI ecosystem" 7️⃣ Qwen3.6-27B | Dense FP16 (baseline) 25 tok/s | llama.cpp | A10G Author: @ClementDelangue No MTP — raw dense inference only 8️⃣ GLM-5.2 | Q3_K_M 15 tok/s → 3 tok/s after 80K tokens | llama.cpp Author: @kis (きしだൠ) Mac Studio (Apple Silicon) Model: GLM-5.2 Q3_K_M Notable: dramatic slowdown after long context 9️⃣ Gemma4 26bA4E | MoE 12 tok/s | llama.cpp | 3× Tesla P4000 (24GB total) Author: @FreakinFrick (Tex) HW: HP z800 Dual Xeon, 128GB RAM — bought for $578 Notable: decade-old hardware! MoE model 💡 WHAT I FOUND — MY TAKE: 1. MTP (Multi-Token Prediction) is the real deal. +78% speed on A10G is insane. Two flags on llama-server and you get nearly 2× speed: --spec-type draft-mtp --spec-draft-n-max 2 @ggerganov himself called it a "significant milestone". 2. KV cache quantization is the hidden game-changer. llama.cpp: --cache-type-k q4_0 --cache-type-v q4_0 vLLM: fp8_e4m3 KV cache Without it, 262K context on a 32GB card doesn't work. With it, it runs like butter. 3. Maxing VRAM ≠ maxing GPU. Q4_K_M: 21 GB VRAM, 95% GPU → 72 tok/s AEON: 31 GB VRAM, 82% GPU → 120 tok/s More VRAM + less GPU util = FASTER. The serving stack matters more than the model. 4. On RTX 5090: 58 → 140 tok/s = 2.4× difference. SAME MODEL. SAME CARD. Just different runtime, quantization, and KV cache. That's insane — and most people don't know this. 5. A $578 budget build with 3× Tesla P4000 runs Gemma4 26b at 12 tok/s. It's not fast, but it's a FUNCTIONAL local AI server for a fraction of the cost. MoE models are the future for multi-GPU. 6. WSL memory on Windows matters! @hackink had to tune WSL2 to 40GB RAM + 16GB swap. Default (23GB) = OOM errors at 262K context. If you run vLLM on Windows, check your .wslconfig. 🏆 MY RECOMMENDATIONS: 🥇 Raw Speed: AutoRound INT4 + MTP via vLLM (140 tok/s) 🥈 Balanced: AEON NVFP4 MTP XS via vLLM (120 tok/s) 🥉 Simplest: Q4_K_M GGUF via llama.cpp (72 tok/s) 💰 Budget: Gemma4 26bA4E on 3× P4000 ($578) ⚡ Tip: Enable MTP — +78% for free 🔗 Full benchmark data: local-models-benchmark.txt 📊 Chart: benchmark-chart.html (open in browser)

The irony? Saylor's 'Bitcoin Standard' just became a margin call waiting to happen. When your entire thesis is 'just accumulate' and the funding dries up, that's when you learn the difference between conviction and leverage. The market isn't pricing Bitcoin lower — it's pricing in MSTR's forced selling risk. Back in June we were told this couldn't happen.

🚀 HOW TO INSTALL & RUN CODEX CLI — LOCAL + OPENROUTER, NO GPT NEEDED No subscription. No cloud dependency. Just AI coding in your terminal. Complete step-by-step guide — even if you've never touched the terminal 👇 ━━━━━━━━━━━━━━━━━━ ─ STEP 1: INSTALL NODE.JS ─ Where: Download from nodejs.org Pick the "LTS" version (currently 20.x or 22.x) Run the installer, click Next → Next → Finish. Verify it's installed: Where: PowerShell (press Win+X → PowerShell) Type: node --version Should output something like v22.x.x. If nothing → restart PC and try again. ━━━━━━━━━━━━━━━━━━ ─ STEP 2: INSTALL CODEX CLI ─ Where: PowerShell Type exactly this: npm install -g @openai/codex Wait a few seconds. If it asks for permission → Yes. Verify installation: Where: PowerShell (new terminal) Type: codex --version Should output: codex-cli 0.141.0 ❗ If it says "codex is not recognized": Where: PowerShell (as Administrator — right-click PowerShell → Run as Administrator) Copy-paste the entire block: $envPath = [Environment]::GetEnvironmentVariable("Path", "User") $npmPath = "C:\Users\$env:USERNAME\AppData\Roaming\npm" if ($envPath -notlike "*$npmPath*") { [Environment]::SetEnvironmentVariable("Path", "$envPath;$npmPath", "User") } Restart PowerShell and try again: codex --version ━━━━━━━━━━━━━━━━━━ ─ STEP 3: GET OPENROUTER API KEY ─ Where: Open your browser (Chrome, Edge, anything) Go to: openrouter.ai Click: Sign Up → create an account (free) Go to: openrouter.ai/keys Click: "Create Key" Copy that key — it starts with "sk-or-v1-..." Save it somewhere — you'll need it in step 4. Pricing: Some models are completely free, others cost a few cents per 1M tokens. DeepSeek v4 Flash is extremely cheap. ━━━━━━━━━━━━━━━━━━ ─ STEP 4: CREATE THE MAIN CONFIG FILE ─ Where: PowerShell Type: notepad $env:USERPROFILE\.codex\config.toml This opens Notepad. If it asks to create the file → Yes. If it asks to create the folder → Yes. COPY-PASTE THIS INTO NOTEPAD: ━━━━━━━━━━━━━━━━━━ [model_providers.openrouter] name = "OpenRouter" base_url = "openrouter.ai/api/v1" api_key = "sk-or-v1-YOUR_KEY_HERE" wire_api = "responses" stream_idle_timeout_ms = 10000000 [model_providers.llama_cpp] name = "llama.cpp local" base_url = "http://localhost:8080/v1" wire_api = "responses" stream_idle_timeout_ms = 10000000 model = "deepseek/deepseek-v4-flash" model_provider_id = "openrouter" ━━━━━━━━━━━━━━━━━━ IMPORTANT: Replace "sk-or-v1-YOUR_KEY_HERE" with the key from step 3. Save: File → Save → close Notepad. ━━━━━━━━━━━━━━━━━━ ─ STEP 5: CREATE PROFILES (MODELS) ─ Each profile = one file in ~/.codex/ The profile determines WHICH MODEL is used. Create each file in Notepad and paste the exact content. ━━━━━━━━━━━━━━━━━━ PROFILE 1: OpenRouter — DeepSeek v4 Flash (default, fast, cheap) ━━━━━━━━━━━━━━━━━━ Where: PowerShell Type: notepad $env:USERPROFILE\.codex\openrouter.config.toml PASTE INTO NOTEPAD: ━━━━━━━━━━━━━━━━━━ model_provider = "openrouter" model = "deepseek/deepseek-v4-flash" ━━━━━━━━━━━━━━━━━━ Save → close. ━━━━━━━━━━━━━━━━━━ PROFILE 2: OpenRouter — NVIDIA Nemotron (free tier) ━━━━━━━━━━━━━━━━━━ Where: PowerShell Type: notepad $env:USERPROFILE\.codex\nemotron3u.config.toml PASTE INTO NOTEPAD: ━━━━━━━━━━━━━━━━━━ model_provider = "openrouter" model = "nvidia/nemotron-3-ultra-550b-a55b" ━━━━━━━━━━━━━━━━━━ Save → close. ━━━━━━━━━━━━━━━━━━ PROFILE 3: OpenRouter — DeepSeek v4 Pro (top quality) ━━━━━━━━━━━━━━━━━━ Where: PowerShell Type: notepad $env:USERPROFILE\.codex\deepseek-v4-pro.config.toml PASTE INTO NOTEPAD: ━━━━━━━━━━━━━━━━━━ model_provider = "openrouter" model = "deepseek/deepseek-v4-pro" ━━━━━━━━━━━━━━━━━━ Save → close. ━━━━━━━━━━━━━━━━━━ PROFILE 4: OpenRouter — Xiaomi MiMo (fast reasoning) ━━━━━━━━━━━━━━━━━━ Where: PowerShell Type: notepad $env:USERPROFILE\.codex\xiaomi-mimo.config.toml PASTE INTO NOTEPAD: ━━━━━━━━━━━━━━━━━━ model_provider = "openrouter" model = "xiaomi/mimo-v2.5-pro" ━━━━━━━━━━━━━━━━━━ Save → close. ━━━━━━━━━━━━━━━━━━ PROFILE 5: OpenRouter — MiniMax M3 (strong coder) ━━━━━━━━━━━━━━━━━━ Where: PowerShell Type: notepad $env:USERPROFILE\.codex\minimax-m3.config.toml PASTE INTO NOTEPAD: ━━━━━━━━━━━━━━━━━━ model_provider = "openrouter" model = "minimax/minimax-m3" ━━━━━━━━━━━━━━━━━━ Save → close. ━━━━━━━━━━━━━━━━━━ PROFILE 6: LOCAL — llama.cpp (100% offline, no internet) ━━━━━━━━━━━━━━━━━━ Where: PowerShell Type: notepad $env:USERPROFILE\.codex\local.config.toml PASTE INTO NOTEPAD: ━━━━━━━━━━━━━━━━━━ model_provider = "llama_cpp" model = "Qwen3.6-35B-A3B-UD-Q4_K_XL.gguf" web_search = "disabled" ━━━━━━━━━━━━━━━━━━ Save → close. This profile NEEDS the llama.cpp server running — see step 6 below. ━━━━━━━━━━━━━━━━━━ ─ STEP 6: LOCAL MODEL SETUP (OPTIONAL — ONLY IF YOU WANT 100% OFFLINE) ─ If you want codex WITHOUT internet: 1. Download llama.cpp: Where: Browser → github.com/ggml-org/llama… Download the latest .zip (Windows build) 2. Extract to a folder, e.g. C:\llama.cpp 3. Download a model (GGUF): Where: Browser → huggingface.co → search "Qwen3.6 GGUF" Download the .gguf file → save to C:\models\ 4. Start the server: Where: PowerShell Type: llama-server.exe -m C:\models\YOUR_MODEL.gguf --host 0.0.0.0 --port 8080 -ngl 100 -c 32768 --jinja 5. Verify it's running: Open a NEW PowerShell and type: curl http://localhost:8080/v1/models 6. Now you can launch codex with the local profile! ━━━━━━━━━━━━━━━━━━ ─ STEP 7: LAUNCHING CODEX ─ Where: PowerShell Type any of these commands: ━━━━━━━━━━━━━━━━━━ WITH OPENROUTER (needs internet + API key): ━━━━━━━━━━━━━━━━━━ codex -p openrouter --dangerously-bypass-approvals-and-sandbox codex -p nemotron3u --dangerously-bypass-approvals-and-sandbox codex -p deepseek-v4-pro --dangerously-bypass-approvals-and-sandbox codex -p xiaomi-mimo --dangerously-bypass-approvals-and-sandbox codex -p minimax-m3 --dangerously-bypass-approvals-and-sandbox ━━━━━━━━━━━━━━━━━━ WITH LOCAL MODEL (offline, no API key): ━━━━━━━━━━━━━━━━━━ codex -p local --dangerously-bypass-approvals-and-sandbox ━━━━━━━━━━━━━━━━━━ WITHOUT PROFILE (uses defaults from config.toml): ━━━━━━━━━━━━━━━━━━ codex --dangerously-bypass-approvals-and-sandbox ━━━━━━━━━━━━━━━━━━ WITH SPECIFIC FOLDER: ━━━━━━━━━━━━━━━━━━ codex -p openrouter --dangerously-bypass-approvals-and-sandbox -C C:\projects\my-project ━━━━━━━━━━━━━━━━━━ WITH WEB SEARCH: ━━━━━━━━━━━━━━━━━━ codex -p openrouter --dangerously-bypass-approvals-and-sandbox --search ━━━━━━━━━━━━━━━━━━ SINGLE COMMAND (non-interactive): ━━━━━━━━━━━━━━━━━━ codex exec -p openrouter "explain this codebase" ━━━━━━━━━━━━━━━━━━ OVERRIDE MODEL ON THE FLY: ━━━━━━━━━━━━━━━━━━ codex -p openrouter -c "model='anthropic/claude-sonnet-4-20250514'" --dangerously-bypass-approvals-and-sandbox ━━━━━━━━━━━━━━━━━━ INLINE MODE (no alternate screen): ━━━━━━━━━━━━━━━━━━ codex -p openrouter --dangerously-bypass-approvals-and-sandbox --no-alt-screen ━━━━━━━━━━━━━━━━━━ RESUME LAST SESSION: ━━━━━━━━━━━━━━━━━━ codex resume --last ━━━━━━━━━━━━━━━━━━ ─ STEP 8: POWERSHELL ALIASES (OPTIONAL — INSTANT LAUNCH) ─ Where: PowerShell Type: notepad $PROFILE If it asks to create the file → Yes. PASTE INTO NOTEPAD: ━━━━━━━━━━━━━━━━━━ # Codex CLI Quick Launch Aliases function codex-or { codex -p openrouter --dangerously-bypass-approvals-and-sandbox $args } function codex-local { codex -p local --dangerously-bypass-approvals-and-sandbox $args } function codex-pro { codex -p deepseek-v4-pro --dangerously-bypass-approvals-and-sandbox $args } function codex-nemo { codex -p nemotron3u --dangerously-bypass-approvals-and-sandbox $args } function codex-mimo { codex -p xiaomi-mimo --dangerously-bypass-approvals-and-sandbox $args } function codex-mini { codex -p minimax-m3 --dangerously-bypass-approvals-and-sandbox $args } ━━━━━━━━━━━━━━━━━━ Save → close → restart PowerShell. Now just type: codex-or → OpenRouter (DeepSeek v4 Flash) codex-pro → DeepSeek v4 Pro (top quality) codex-nemo → NVIDIA Nemotron (free) codex-mimo → Xiaomi MiMo codex-mini → MiniMax M3 codex-local → Local model (offline) With parameters: codex-or -C C:\projects\my-project ━━━━━━━━━━━━━━━━━━ ─ STEP 9: HOW TO ADD A CUSTOM MODEL ─ 1. Where: PowerShell Type: notepad $env:USERPROFILE\.codex\my-model.config.toml 2. Paste: ━━━━━━━━━━━━━━━━━━ model_provider = "openrouter" model = "PROVIDER/MODEL-NAME" ━━━━━━━━━━━━━━━━━━ 3. Put in the correct model — browse all: openrouter.ai/models 4. Launch: codex -p my-model --dangerously-bypass-approvals-and-sandbox ━━━━━━━━━━━━━━━━━━ ─ KEY FLAGS REFERENCE ─ -p PROFILE Load profile from ~/.codex/PROFILE.config.toml -c "key='value'" Override a config value on the fly -s SANDBOX Sandbox mode: read-only | workspace-write | danger-full-access --dangerously-bypass-approvals-and-sandbox DISABLES ALL confirmations — runs FREE ⚠️ -C FOLDER Set working directory --search Enable web search --no-alt-screen Inline mode (preserve scrollback) --oss Use open-source provider --local-provider PROVIDER Use lmstudio or ollama ━━━━━━━━━━━━━━━━━━ ─ WHY THIS SETUP SLAPS ─ • $0/month with local models — no cloud needed • No GPT dependency — DeepSeek, Nemotron, Qwen, anything • Swap models in 2 seconds — just switch profile • Codex reads, edits, runs code — full agent in your terminal • Works offline with llama.cpp • Aliases = one-word launch • Your code never leaves your machine (with local models) You're not locked into one model. The setup is YOURS. #CodexCLI #LocalLLM #OpenRouter #AIAgent #CodingAgent #DevTools #SelfHosting #Terminal #NoGPT #AI