AI Engineer | Working with Agents I build AI explainers with code deep dives on YouTube DM for Collabs

🎁 New users: $10 free** 👥 Refer a friend: **$6 💸 Top up $1 → get $10 free ($11) 💸 Top up $10 → get $100 free ($110) ⚡ DeepSeek open model: $1 ≈ 30M tokens 🔥 ~$3/month = token freedom 👉 Sign up: [threerouter.com/register?aff…]
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OpenAI just added a paid “Buy an instant reset” button for Codex & Work limits. And the fine print is brutal: • It does not give you extra quota • It just pulls your normal weekly allowance forward • It wipes whatever you had left • Zero refunds OpenAI is charging Plus and Pro users just to move their own reset clock.
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Why are so many Codex devs downgrading from GPT-6.1 Sol back to GPT-5.6 Sol right now? On paper, GPT-6.1 Sol ($2/$10) costs 50% less per token than GPT-5.6 Sol ($4/$20). In practice, devs switching back to 5.6 Sol are seeing 20%–30% LOWER quota burn and faster fixes. Why? Because 6.1 Sol was post-trained to over-think every prompt burning 3x–5x more hidden reasoning tokens and running unsolicited test loops on simple 5-line edits. Have you switched back to 5.6 Sol, or are you sticking with 6.1?
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Gemini 4 Argon > GPT-6 Astra Period.
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DeepSeek V4.1 Flash 1017 is now Free in OpenCode Enjoy building!
DeepSeek V4.1 Flash updated to 1017 in OpenCode Go and Free No changes needed on your end
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The Information just confirmed all three frontier labs are preparing imminent coding model drops: 1. Google "Gemini 4 Carbon": An upgrade to Gemini 4 Argon tuned to match Opus 5.5 on multi-file coding while leading on visual web testing 2. Fable 5.5 : Identifies broader architectural flaws behind individual bugs from minimal prompts 3. OpenAI "GPT-6.1 Terra": Spotted in 18 Microsoft Copilot configs
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Gemini 4 Argon: Built a 3D New York City Helicopter & FPV Tour in a single HTML file Zero external 3D models or image textures, 100% procedural Three.js + custom GLSL shaders at 60 FPS:
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Most developers looking at the $20 Google AI Pro plan only check the Gemini app limits and miss what's actually bundled under the hood: 1. $10/mo in Google Cloud credits 2. 200 Colab Compute Units/mo (~$20 standalone value for T4/L4/A100 GPUs & v5e TPUs) 3. many more...................
Most devs on the $20 Google AI Pro plan still don't realize Google quietly bundled Colab Pro (200 Compute Units/mo) directly into the subscription: - Hardware unlocked: 80GB NVIDIA A100 GPUs (167GB System RAM), 96GB Blackwell G4 GPUs, L4 GPUs, and Trillium v6e-1 TPUs - Monthly runtime: At ~6.77 CU/hr, your 200 monthly units give you ~30 hours/mo on an 80GB A100 - Agent bonus: With Google's Colab CLI, Antigravity or Claude Code can call those A100s straight from your terminal.
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MiniMax-M3.1-Flash undercut DeepSeek V4.1 Flash by 50%: - API Pricing: $0.15/M input $0.60/M output $0.015/M cached read - Coding & Agents: 73.7% on DeepSWE v1.1 beating GPT-5.6 Sol's 73.0%
MiniMax M3.1 Flash: Space Performance + Bunny Speed 🚀🐰 Yes, Space Bunny - which has topped global leaderboards with 200T+ tokens - was an earlier version of M3.1 Flash. 💰Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of M3 and 3x the speed. API pricing (flat rate): $0.15 / $0.60 per 1M input/output tokens, with cache reads at $0.015 / 1M tokens. Model weights will arrive on Oct 23. API: platform.minimax.io M Plan: minimax.io/m-plan MiniMax Code for desktop: agent.minimax.io/download
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Everyone is asking when Gemini 4 Flash drops "gemini-4-flash-preview" already leaked in Google's SDK (tied to the Gemma 4 tokenizer) Gemini 3.8 Flash's $0.75/$3.75 promo pricing expires Dec 31 So Gemini 4 Flash is coming soon...
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Something shady is happening with GPT-6.1 Sol usage limits inside OpenAI Codex since Friday: Devs on Plus and $200 Pro are reporting a massive silent nerf: - 5-hour Codex limits draining 4x–5x faster on the exact same workloads - Sol Low/Medium burning to 0% in 30 mins (down from 2+ hours last week) - Single merge conflicts eating 15%+ and idle resets waking up at 0% Are you seeing Codex limits vanish faster this week?
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Most devs on the $20 Google AI Pro plan still don't realize Google quietly bundled Colab Pro (200 Compute Units/mo) directly into the subscription: - Hardware unlocked: 80GB NVIDIA A100 GPUs (167GB System RAM), 96GB Blackwell G4 GPUs, L4 GPUs, and Trillium v6e-1 TPUs - Monthly runtime: At ~6.77 CU/hr, your 200 monthly units give you ~30 hours/mo on an 80GB A100 - Agent bonus: With Google's Colab CLI, Antigravity or Claude Code can call those A100s straight from your terminal.
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The 6-week lifecycle of OpenAI's GPT-6 Astra needs to be studied: - Sept 3: "Welcome to the AGI era." Pretrained on 100,000+ Stargate GPUs. Too dangerous for the public. Influencers one-shotting 3D Blender toys. - Sept 15: Devs realize it's lazier than GPT-5.6 Sol on real backend code, flags normal code as a cyberattack, and costs $10/$50. - Sept 29: OpenAI scraps GPT-6.1 Astra admitting "it wasn't as good as we wanted." - Oct 18: Everyone is using Opus 5.5 and Gemini 4 Argon while "AGI" sits unused in the model picker.
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"claude-fable-5-5" is staged inside Microsoft Azure's East US 2 model catalog: - ID: azure_ai/claude-fable-5-5 - Status: "GenerallyAvailable" (sunset date: Dec 5, 2027) - Synced LiteLLM specs: 1M context, 128K max output, $10/$50 per 1M tokens If Opus 5.5 ($4/$20) is already the daily coding flagship, is Fable 5.5 Anthropic's heavy $10/$50 reasoning tier?
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Anthropic's recent Claude Code CLI update quietly switched Fable model selection from a hardcoded version string ("claude-fable-5-1") to a dynamic rolling family alias the exact same prep they pushed right before Opus 5.5 and Sonnet 5.5 launched.
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We are 12 days away from October 30 when OpenAI's quota cut officially hits existing $200/m ChatGPT Pro & Codex subscribers. Look at the math on how the tiers shift on Oct 30: - Current $200 Pro (until Oct 29): 20x Plus allowance ($10 per 1x unit) + 200 GPT-6 Pro msgs/wk - $200 Pro Starting Oct 30: Cut in half to 10x Plus allowance ($20 per 1x unit) + 100 GPT-6 Pro msgs/wk - New $500 Pro Tier: 25x Plus allowance ($20 per 1x unit) Moving from the old $200 plan (20x) to the new $500 plan (25x) costs 150% more money ($6,000/yr vs $2,400/yr) for only 25% more usage—with zero bulk discount per 1x unit across $20, $100, $200, and $500.
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If your Claude Code weekly limit is draining 30%–50% in a single day after this week's reset, check two things: - Bloated MCP + CLAUDE.md setups: Loading 100k–150k tokens of unused MCP schemas on prompt #1 means every prompt-cache expiry re-bills 150k+ uncached tokens from scratch - The "20x" Max trap: $200 Max (20x) scales your 5-hour session bar by 20x, but your weekly cap is only ~2x the $100 plan, so 2–3 heavy Opus 5.5 sessions burn half your week Run /context and disable idle MCP servers before your next session.
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If you're burning through your weekly Gemini 4 Argon quota in Google Antigravity in 48 hours, you're probably ignoring how Google split the quota buckets this week: Google didn't put Argon and 3.8 Flash in the same pool Argon runs on a dedicated weekly-only bucket completely separate from your Gemini 3.8 Flash quota. Because every agentic tool call re-processes your active conversation history against that weekly Argon meter: - Running a 300k-token session on Argon burns ~3M tokens of weekly quota in just 10 tool steps - Using 3.8 Flash for repo search, file discovery, and boilerplate touches zero percent of your Argon reserve Treat 3.8 Flash as your free scout and save your weekly Argon bucket for the heavy multi-file refactors.
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