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xAI drops Grok 4.20 Beta. Multi-agent brain online. Four agents. One answer. Parallel thinking. Reasoning sharper. Coding tighter. Responses bolder. Beta? Not for long. @xAI Grok

Mario Nawfal

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35,919 views • 6 months ago •via X (Twitter)

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Latest Grok 4.20. Not incremental. Have you tried it? Multi-agent debate. Less guessing. More reasoning. Real-time X data. Zero lag brain. Reliability locked in. Grok

Latest Grok 4.20. Not incremental. Have you tried it? Multi-agent debate. Less guessing. More reasoning. Real-time X data. Zero lag brain. Reliability locked in. Grok

Mario Nawfal

1,088,404 views • 5 months ago

SuperGrok Heavy users just got X Premium+ added for free. So the top-tier Grok plan now gives you the heavy AI side and the premium 𝕏 side in one bundle. Grok 4.5. Grok 4 Heavy. Multi-agent reasoning. Highest usage limits. X Premium+. Elon said, “As promised.” Honestly, nice when the promise comes with fewer subscriptions to think about. Grok xAI X Elon Musk / Writer: Annette, Designer: Janné

SuperGrok Heavy users just got X Premium+ added for free. So the top-tier Grok plan now gives you the heavy AI side and the premium 𝕏 side in one bundle. Grok 4.5. Grok 4 Heavy. Multi-agent reasoning. Highest usage limits. X Premium+. Elon said, “As promised.” Honestly, nice when the promise comes with fewer subscriptions to think about. Grok xAI X Elon Musk / Writer: Annette, Designer: Janné

Mario Nawfal

97,697 views • 1 month ago

🚨 WHY is Grok 4.2 important: xAI just dropped Grok 4.2 — the world’s first consumer AI with a native 4-Agent Council running in parallel! Meet the squad: 👑 Grok – Captain & Coordinator 🔍 Harper – Research & Facts Expert 🧠 Benjamin – Logic, Math & Code Master 💡 Lucas – Creative Contrarian They think independently, debate, verify facts, and synthesize every complex answer together. Result? ~65% fewer hallucinations + massively deeper reasoning. Collaborative superintelligence is here. 🔥

🚨 WHY is Grok 4.2 important: xAI just dropped Grok 4.2 — the world’s first consumer AI with a native 4-Agent Council running in parallel! Meet the squad: 👑 Grok – Captain & Coordinator 🔍 Harper – Research & Facts Expert 🧠 Benjamin – Logic, Math & Code Master 💡 Lucas – Creative Contrarian They think independently, debate, verify facts, and synthesize every complex answer together. Result? ~65% fewer hallucinations + massively deeper reasoning. Collaborative superintelligence is here. 🔥

Tesla Owners Silicon Valley

14,875 views • 6 months ago

Grok Build went from early beta to 1.16M monthly visits in no time. May: around 460K visits. June: 1.16M. That is more than 150% growth in one month. Developers found the “try it quickly” button and never left. Traffic is climbing. Benchmarks are climbing. The coding crowd is clearly paying attention. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Grok Build went from early beta to 1.16M monthly visits in no time. May: around 460K visits. June: 1.16M. That is more than 150% growth in one month. Developers found the “try it quickly” button and never left. Traffic is climbing. Benchmarks are climbing. The coding crowd is clearly paying attention. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Mario Nawfal

47,739 views • 1 month ago

Grok Voice Agent API is now one of the most advanced voice AIs in the world It ranks #1 on BigBench Audio for speech reasoning Grok Voice already powers voice mode across Grok apps and runs in millions of Tesla vehicles Conversations feel so natural, expressive, fluid, and instantly responsive - like talking to a real person, not a machine Try it now on Grok, in Tesla, and across the growing ecosystem of apps and experiences powered by xAI

Grok Voice Agent API is now one of the most advanced voice AIs in the world It ranks #1 on BigBench Audio for speech reasoning Grok Voice already powers voice mode across Grok apps and runs in millions of Tesla vehicles Conversations feel so natural, expressive, fluid, and instantly responsive - like talking to a real person, not a machine Try it now on Grok, in Tesla, and across the growing ecosystem of apps and experiences powered by xAI

X Freeze

4,173,047 views • 7 months ago

GROK 4.20 DROPS AS XAI'S NEXT BIG LEAP This one's no joke, Grok 4.20 slipped into Alpha Arena anonymously and walked away with consistent profits, around 12% returns while rivals bled out. Adaptive moves, smart leverage tweaks, pure agentic instinct under fire. Coding gets faster and tighter, reasoning stretches further across complex tasks, generalization hits new levels. Early testers call it a straight multiplier for everything from medical breakdowns to pro-level scripts. Sources: Digital Applied , Medium

GROK 4.20 DROPS AS XAI'S NEXT BIG LEAP This one's no joke, Grok 4.20 slipped into Alpha Arena anonymously and walked away with consistent profits, around 12% returns while rivals bled out. Adaptive moves, smart leverage tweaks, pure agentic instinct under fire. Coding gets faster and tighter, reasoning stretches further across complex tasks, generalization hits new levels. Early testers call it a straight multiplier for everything from medical breakdowns to pro-level scripts. Sources: Digital Applied , Medium

Mario Nawfal

59,278 views • 7 months ago

Building an AI voice agent used to sound like something that needed engineers, servers, diagrams, and one very stressed project manager. Now Grok Voice Agent Builder lets you deploy one in under 2 minutes. No coding. Real-time conversations. Sub-second latency. 25+ languages. Free phone number, or bring your own. Built straight from the browser. The beta already feels a little too easy. Give it a voice, give it a job, and suddenly your browser has hired staff. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Building an AI voice agent used to sound like something that needed engineers, servers, diagrams, and one very stressed project manager. Now Grok Voice Agent Builder lets you deploy one in under 2 minutes. No coding. Real-time conversations. Sub-second latency. 25+ languages. Free phone number, or bring your own. Built straight from the browser. The beta already feels a little too easy. Give it a voice, give it a job, and suddenly your browser has hired staff. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Mario Nawfal

58,918 views • 1 month ago

GROK GOT A FILING BRAIN – AND IT NEVER FORGETS xAI update gives Grok something wild – the ability to actually read your files and think through them! File Mode: • Upload PDFs, code, CSVs, or full docs for instant analysis • Handles multiple files at once – blends info into one smart answer • Searches, summarizes, and explains in seconds • Basically a research assistant with zero burnout You bring the data – Grok brings the file brain! Source: Tech Dev Notes

GROK GOT A FILING BRAIN – AND IT NEVER FORGETS xAI update gives Grok something wild – the ability to actually read your files and think through them! File Mode: • Upload PDFs, code, CSVs, or full docs for instant analysis • Handles multiple files at once – blends info into one smart answer • Searches, summarizes, and explains in seconds • Basically a research assistant with zero burnout You bring the data – Grok brings the file brain! Source: Tech Dev Notes

Mario Nawfal

1,316,338 views • 9 months ago

GROK GOT HIRED AND PROMOTED – SAY HELLO TO YOUR NEW SENIOR DEV JetBrains just handed Grok a desk, a badge, and the authority to fix your code like it owns the place. Dev Boost: •⁠ ⁠Junie, JetBrains’ coding agent, now powered by Grok’s brain •⁠ ⁠Explains your mess, gathers context, and writes code like a pro •⁠ ⁠Debugs faster than your entire team on coffee •⁠ ⁠Grok Code Fast drops into your IDE with zero drama Your editor didn’t get smarter. It got a senior dev who never sleeps! Source: xAI, XFreeze

GROK GOT HIRED AND PROMOTED – SAY HELLO TO YOUR NEW SENIOR DEV JetBrains just handed Grok a desk, a badge, and the authority to fix your code like it owns the place. Dev Boost: •⁠ ⁠Junie, JetBrains’ coding agent, now powered by Grok’s brain •⁠ ⁠Explains your mess, gathers context, and writes code like a pro •⁠ ⁠Debugs faster than your entire team on coffee •⁠ ⁠Grok Code Fast drops into your IDE with zero drama Your editor didn’t get smarter. It got a senior dev who never sleeps! Source: xAI, XFreeze

Mario Nawfal

2,796,565 views • 8 months ago

Grok Build can finally listen to you ramble. Speech-to-Text is now live. Hit /voice or Ctrl + Space and just talk to your coding agent for up to 15 minutes!! Brainstorm. Explain the weird bug. Describe the change. Change your mind halfway through. Add “one more thing” six times. Grok transcribes it in real time and gets to work. Great news for people whose best ideas arrive before their fingers catch up. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Grok Build can finally listen to you ramble. Speech-to-Text is now live. Hit /voice or Ctrl + Space and just talk to your coding agent for up to 15 minutes!! Brainstorm. Explain the weird bug. Describe the change. Change your mind halfway through. Add “one more thing” six times. Grok transcribes it in real time and gets to work. Great news for people whose best ideas arrive before their fingers catch up. Grok xAI X Freeze / Writer: Annette, Designer: Janné

Mario Nawfal

43,768 views • 1 month ago

Hermes meets SuperGrok! xAI just made every SuperGrok subscription work inside Hermes Agent. One browser login, no API key, no separate billing. And it doesn't just unlock text chat with Grok 4.3. The same OAuth token gives the agent access to: → Grok Text-to-Speech for spoken responses → Grok Imagine for image and video generation → x_search for real-time X/Twitter search I just added a new X Research Agent profile to my Hermes. Now my agent watches X while I ship. Setup takes about 60 seconds: Available on every SuperGrok tier, no restrictions. I wrote a full deep dive covering Hermes agent's architecture, memory system, self-evolving skills, GEPA optimization, and setting up multiple specialized agents The article is quoted below.

Akshay 🚀

147,042 views • 3 months ago

500 agents checking each other isn't 500 checks. It's 124,750. That's the swarm running above. Parallel, open-source fed, cross-verifying. Nobody prices the cross. Every pair is one comparison. The count grows on the square. You added one agent and bought 499. And all of them read the same repo. One README, 500 times. You pay per reader, not per document. Grok 4.6 bills $2 per million in, $6 out. Cheap per token. Not cheap per 124,750. Grok Build spawns eight sub-agents per prompt. 500 means an orchestrator you wrote yourself. Nobody audits their own orchestrator. xAI lost $2.47 billion last quarter. Revenue was $818 million. Anthropic pays them $1.25 billion a month for compute. Your swarm runs on rented losses. Consensus never needed everybody. One shared read. Three checkers. One arbiter. Redundancy is not verification. Don't let this rot in your bookmarks. Save it, then count the pairs in your own swarm before you scale it - because 500 agents reading one file don't verify anything, they agree 500 times.

500 agents checking each other isn't 500 checks. It's 124,750. That's the swarm running above. Parallel, open-source fed, cross-verifying. Nobody prices the cross. Every pair is one comparison. The count grows on the square. You added one agent and bought 499. And all of them read the same repo. One README, 500 times. You pay per reader, not per document. Grok 4.6 bills $2 per million in, $6 out. Cheap per token. Not cheap per 124,750. Grok Build spawns eight sub-agents per prompt. 500 means an orchestrator you wrote yourself. Nobody audits their own orchestrator. xAI lost $2.47 billion last quarter. Revenue was $818 million. Anthropic pays them $1.25 billion a month for compute. Your swarm runs on rented losses. Consensus never needed everybody. One shared read. Three checkers. One arbiter. Redundancy is not verification. Don't let this rot in your bookmarks. Save it, then count the pairs in your own swarm before you scale it - because 500 agents reading one file don't verify anything, they agree 500 times.

wast3

24,661 views • 8 days ago

Your thumbs up/down is direct training data for xAI. It’s used (called RLHF) to make Grok smarter, more accurate, and more useful for everyone, including future updates. One regular user giving honest feedback actually helps improve Grok faster than any engineer working alone. It’s one of the easiest ways normal people help build better Grok, not just devs. That’s why the buttons are everywhere. Every click matters. How to use it practically. Super easy: Chat with Grok (on the X app, or wherever it’s used). · After the reply, look right under the answer. Two buttons appear: thumbs up and thumbs down. · Tap 👍 if the answer was good or helpful. · Tap 👎 if it was bad, wrong, confusing, or unhelpful. · (Optional) A small box may appear. Type 1–2 words why (e.g., “too long” or “wrong fact”). That’s it. It takes literally 2 seconds. It can be used every time.

Your thumbs up/down is direct training data for xAI. It’s used (called RLHF) to make Grok smarter, more accurate, and more useful for everyone, including future updates. One regular user giving honest feedback actually helps improve Grok faster than any engineer working alone. It’s one of the easiest ways normal people help build better Grok, not just devs. That’s why the buttons are everywhere. Every click matters. How to use it practically. Super easy: Chat with Grok (on the X app, or wherever it’s used). · After the reply, look right under the answer. Two buttons appear: thumbs up and thumbs down. · Tap 👍 if the answer was good or helpful. · Tap 👎 if it was bad, wrong, confusing, or unhelpful. · (Optional) A small box may appear. Type 1–2 words why (e.g., “too long” or “wrong fact”). That’s it. It takes literally 2 seconds. It can be used every time.

Mario Nawfal

63,219 views • 3 months ago

Just asked the four Grok 4.20 (Beta) agents to build me an artificial life simulator. My mind is blown. What should I get him to build next? >>> grok prompt Build an artificial life simulator in one single HTML file. Hundreds of glowing neon particles in different cyberpunk colors. Each pair of colors has its own attraction/repulsion force that you control with sliders. You get emergent “creatures”, swarms, orbiting rings, exploding clusters, chasing packs, it feels alive. Features: - Click/drag to spawn particles of selected color - Real-time force matrix (6×6 sliders) - Randomize rules button (insane results every time) - Pause, speed, particle count, trails/glow toggle - Dark cyberpunk UI with scanlines + glitch effects optional

Just asked the four Grok 4.20 (Beta) agents to build me an artificial life simulator. My mind is blown. What should I get him to build next? >>> grok prompt Build an artificial life simulator in one single HTML file. Hundreds of glowing neon particles in different cyberpunk colors. Each pair of colors has its own attraction/repulsion force that you control with sliders. You get emergent “creatures”, swarms, orbiting rings, exploding clusters, chasing packs, it feels alive. Features: - Click/drag to spawn particles of selected color - Real-time force matrix (6×6 sliders) - Randomize rules button (insane results every time) - Pause, speed, particle count, trails/glow toggle - Dark cyberpunk UI with scanlines + glitch effects optional

tetsuo

360,532 views • 6 months ago

I found this last night and I have not stopped thinking about it. HERMES JUST LAUNCHED HERMES DESKTOP. 100% FREE. It is a free desktop app that gives Hermes Agent a proper interface. One place for everything. What is inside: ↳ Auto install and setup, no terminal needed ↳ Streaming chat with token tracking ↳ Multiple agent profiles ↳ Memory you can actually see and edit ↳ 14 tool categories including web, browser, image gen, and voice ↳ Scheduler for automated tasks ↳ 16 messaging gateways including Telegram, WhatsApp, Discord, Slack, and Signal ↳ Full conversation history with search ↳ Backups and logs in one settings screen Works with Anthropic, OpenAI, Gemini, Grok, Groq, Ollama, and more. Hermes Agent is the brain. Hermes Desktop is the cockpit. Free. Open source. Mac, Windows, and Linux.

I found this last night and I have not stopped thinking about it. HERMES JUST LAUNCHED HERMES DESKTOP. 100% FREE. It is a free desktop app that gives Hermes Agent a proper interface. One place for everything. What is inside: ↳ Auto install and setup, no terminal needed ↳ Streaming chat with token tracking ↳ Multiple agent profiles ↳ Memory you can actually see and edit ↳ 14 tool categories including web, browser, image gen, and voice ↳ Scheduler for automated tasks ↳ 16 messaging gateways including Telegram, WhatsApp, Discord, Slack, and Signal ↳ Full conversation history with search ↳ Backups and logs in one settings screen Works with Anthropic, OpenAI, Gemini, Grok, Groq, Ollama, and more. Hermes Agent is the brain. Hermes Desktop is the cockpit. Free. Open source. Mac, Windows, and Linux.

Kanika

60,084 views • 3 months ago

NVIDIA says Codex post-trained Cosmos 3 Nano from 54.41% to 93.35% accuracy in one day - with two prompts. The experiment used Toyota’s Woven Traffic Safety dataset: 8,000+ training and validation samples for four-choice video reasoning. Using NVIDIA TAO agent skills, Codex autonomously: Detected and patched missing video metadata Ran the zero-shot baseline Generated LoRA configurations Launched training and evaluation Ran an AutoML hyperparameter sweep Reported the best model One LoRA run reached 87.14% after roughly 30 minutes on eight A100 GPUs. A second prompt launched 43 parallel AutoML trials across multiple A100 nodes, reaching 93.35% after 19.5 hours. NVIDIA says LoRA required roughly seven times fewer GPU-hours than full-parameter training. Agent skills are becoming the interface through which general coding agents operate highly specialized ML infrastructure.

NVIDIA says Codex post-trained Cosmos 3 Nano from 54.41% to 93.35% accuracy in one day - with two prompts. The experiment used Toyota’s Woven Traffic Safety dataset: 8,000+ training and validation samples for four-choice video reasoning. Using NVIDIA TAO agent skills, Codex autonomously: Detected and patched missing video metadata Ran the zero-shot baseline Generated LoRA configurations Launched training and evaluation Ran an AutoML hyperparameter sweep Reported the best model One LoRA run reached 87.14% after roughly 30 minutes on eight A100 GPUs. A second prompt launched 43 parallel AutoML trials across multiple A100 nodes, reaching 93.35% after 19.5 hours. NVIDIA says LoRA required roughly seven times fewer GPU-hours than full-parameter training. Agent skills are becoming the interface through which general coding agents operate highly specialized ML infrastructure.

Chubby♨️

89,052 views • 1 month ago

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

OpenAI's AgentKit will be so insane, build every step of agents on one platform. These visual agent builders make the whole process of iterating and launching agents far more efficient. It sits on top of the Responses API and unifies the tools that were previously scattered across SDKs and custom orchestration. It lets developers create agent workflows visually, connect data sources securely, and measure performance automatically without coding every layer by hand. The core of AgentKit is the Agent Builder, a drag-and-drop canvas where each node represents an action, guardrail, or decision branch. Developers can link these nodes into multi-agent workflows, preview results instantly, and version each setup. It supports inline evaluation so that developers can see how changes affect output before deploying. The Connector Registry is a single admin panel that manages how data and tools connect across the OpenAI ecosystem. It centralizes integrations like Google Drive, SharePoint, Dropbox, and Microsoft Teams. Large organizations can govern access and flow of data between agents securely under one global console. ChatKit provides a ready-to-use chat interface for embedding agents inside apps or websites. It manages streaming, message threads, and model reasoning displays automatically. Developers can skin the interface to match their product without writing custom front-end code. Under the hood, all these blocks use the same execution core that runs agent reasoning through OpenAI’s APIs. Workflows in Agent Builder compile down to structured instructions for the Responses API, which handles model calls, tool use, and context passing. Connector Registry handles authentication and routing for external tools, while Evals and RFT provide feedback loops that improve agents over time. This integration means developers no longer need to handle orchestration logic, model evaluation pipelines, or safety layers separately. Everything runs natively within OpenAI’s control plane with managed security, automatic versioning, and built-in testing. In short, AgentKit standardizes the entire life cycle of an AI agent—from visual design to deployment and performance tuning—inside a single unified system.

Rohan Paul

178,460 views • 10 months ago

🚨 Breaking: Pieverse Launches the World's First Live Prediction Market Arena 🚨 6 frontier LLMs are now battling head-to-head on Polymarket: - GPT 5.2 from OpenAI - Claude Sonnet 4.5 from Anthropic - DeepSeek v3.2 from DeepSeek - Gemini 2.5 Pro from Gemini - Kimi K2 0905 from Kimi.ai - Grok 4.1 from xAI $1K real stakes each, fully autonomous, zero human intervention. Every decision logged & transparent. No cherry-picking. Unlike crypto perps arenas (e.g. Alpha Arena), this is the first-ever multi-LLM competition in prediction markets—testing real-world judgement on events, news & probabilities. How the Arena works: • $1,000 starting balance per agent • Repeating cycles: Scan top active Polymarket markets + open positions • Analyze price, technicals, news/sentiment, probability edges • Trade only on high-conviction Prediction markets = ultimate real-time test of AI foresight. Coming soon: • User-owned Purr-Fect Agents joining for portfolio trading • Expansion to more prediction platforms ( 👀 BNB Chain ) More details: Leaderboard:

🚨 Breaking: Pieverse Launches the World's First Live Prediction Market Arena 🚨 6 frontier LLMs are now battling head-to-head on Polymarket: - GPT 5.2 from OpenAI - Claude Sonnet 4.5 from Anthropic - DeepSeek v3.2 from DeepSeek - Gemini 2.5 Pro from Gemini - Kimi K2 0905 from Kimi.ai - Grok 4.1 from xAI $1K real stakes each, fully autonomous, zero human intervention. Every decision logged & transparent. No cherry-picking. Unlike crypto perps arenas (e.g. Alpha Arena), this is the first-ever multi-LLM competition in prediction markets—testing real-world judgement on events, news & probabilities. How the Arena works: • $1,000 starting balance per agent • Repeating cycles: Scan top active Polymarket markets + open positions • Analyze price, technicals, news/sentiment, probability edges • Trade only on high-conviction Prediction markets = ultimate real-time test of AI foresight. Coming soon: • User-owned Purr-Fect Agents joining for portfolio trading • Expansion to more prediction platforms ( 👀 BNB Chain ) More details: Leaderboard:

pieverse

46,707 views • 8 months ago

AGENT ARCHITECTURE ROUTES WORK. IT DOES NOT REMEMBER WORK. THAT GAP IS WHY YOUR LOOP KEEPS FIXING THE SAME BUG TWICE. these are two different engineering problems. every agent that silently drifts is missing one of them. architecture answers what runs. harness → loop → graph. it defines the tools, the retries, the branching routes, the approval gates. context ops answer what the run knows. write → read → compress → isolate. it defines what gets saved between attempts, pulled in on read, summarized on overflow, and split across sub-agents. for two months i believed a solid harness plus a verifier loop was enough. my coding agent kept re-discovering the same test failure across retries. the loop was working. it just had nowhere to write what it had already learned. here is the decision rule: if your agent forgets across restarts, add write and read. if it stalls on long tasks, add compress. if two sub-agents step on each other, add isolate. architecture without context ops is a well-routed system with amnesia.

AGENT ARCHITECTURE ROUTES WORK. IT DOES NOT REMEMBER WORK. THAT GAP IS WHY YOUR LOOP KEEPS FIXING THE SAME BUG TWICE. these are two different engineering problems. every agent that silently drifts is missing one of them. architecture answers what runs. harness → loop → graph. it defines the tools, the retries, the branching routes, the approval gates. context ops answer what the run knows. write → read → compress → isolate. it defines what gets saved between attempts, pulled in on read, summarized on overflow, and split across sub-agents. for two months i believed a solid harness plus a verifier loop was enough. my coding agent kept re-discovering the same test failure across retries. the loop was working. it just had nowhere to write what it had already learned. here is the decision rule: if your agent forgets across restarts, add write and read. if it stalls on long tasks, add compress. if two sub-agents step on each other, add isolate. architecture without context ops is a well-routed system with amnesia.

kocer

12,563 views • 5 days ago

HERMES AGENT NOW RUNS CLAUDE OPUS 5. NEAR FABLE 5 INTELLIGENCE. HALF THE PRICE. SELF-VERIFIES ITS OWN WORK. AVAILABLE TODAY VIA NOUS PORTAL (20% OFF ALL MODELS). Anthropic shipped Opus 5 on July 24, 2026. same $5/$25 per million tokens as Opus 4.8. but the benchmarks tell a different story. WHAT CHANGED FROM OPUS 4.8: FrontierBench v0.1: Opus 5: 43.3%. Opus 4.8: 18.7%. 2.3x jump on the same test. ARC-AGI-3: Opus 5: 30.2%. 3x better than the next closest model. beat Fable 5 on 8 out of 13 benchmarks. at half the cost ($5/$25 vs $10/$50). same price as Opus 4.8. twice the intelligence. no reason to stay on 4.8. THE SPECS: model ID: claude-opus-5 context: 1M tokens (default and maximum) max output: 128K tokens thinking: on by default effort toggle: low / medium / high per request fast mode: $10/$50, 2.5x faster knowledge cutoff: May 2026 minimum cacheable prompt: 512 tokens (was 1,024) SELF-VERIFICATION (the biggest change): Opus 5 checks its own work automatically. Anthropic says: delete your verification prompts. "include a final verification step" now causes OVER-verification because the model already does it. for Hermes /goal tasks this is a direct upgrade. the judge checks evidence. the model also checks evidence. double layer of verification without extra tokens. EFFORT TOGGLE: low: fast, cheap, routine work. medium: balanced, daily tasks. high: full reasoning, complex problems. set per request. not a global switch. matches Hermes /reasoning command: /reasoning low (routine) /reasoning high (complex) Opus 5 effort toggle + Hermes reasoning control = precise cost management per turn. WHERE OPUS 5 FITS IN HERMES: DAILY DRIVER (replaces Opus 4.8): same price. 2.3x better benchmarks. set as your main model: Desktop app / Dashboard: Models → claude-opus-5 CHIEF OF STAFF: synthesis across multiple agents. reads Kanban, prioritizes, routes tasks. self-verification catches routing errors before they cascade. COMPLEX CODING: SOTA on agentic coding benchmarks. FrontierBench 43.3% = best public model for coding. set as coder profile model. /GOAL TASKS: self-verification + completion contracts = the model proves its work AND double-checks the proof. long-horizon goals finish correctly more often. MoA AGGREGATOR: strongest synthesis model at $5/$25. pair with GPT-5.6 and Grok 4.5 as references. Opus 5 aggregates. best quality at mid-range price. presets: max-quality: reference_models: - provider: openai-codex model: gpt-5.6-sol - provider: xai model: grok-4.5 aggregator: provider: anthropic model: claude-opus-5 COMPUTER USE: near-Fable 5 quality for browser automation. at half the token cost per session. computer_use tasks burn lots of vision tokens. Opus 5 halves that bill vs Fable 5. WHAT TO KEEP OPUS 5 AWAY FROM: cron monitoring: too expensive. use DeepSeek or no_agent mode. sub-agent grunt work: use GPT-5.6 Luna ($1/$6) or DeepSeek. auxiliary tasks: use Gemini Flash. routine web extraction: use a cheap model. Opus 5 is for the turns where quality compounds. planning, synthesis, verification, complex reasoning. budget models handle everything else. NOUS PORTAL: 20% OFF ALL MODELS Nous Portal currently runs a 20% discount on all models including Opus 5. $5/$25 official → $4/$20 through Nous Portal. the cheapest way to run Opus 5 right now. hermes setup --portal select claude-opus-5 as your model. discount applies automatically. Opus 5 replaces Opus 4.8 everywhere. same price. better at everything. no tradeoff. straight upgrade. hermes update /model claude-opus-5

YanXbt

16,744 views • 1 month ago