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Claude Fable 5 Explained: Features, Limits & Setup (2026)

Claude Fable 5 is Anthropic's most powerful AI model ever released to the public - and it runs on the same foundation as Claude Mythos, the restricted model previously available only to critical infrastructure defenders and government partners. Launched on June 9, 2026, Fable 5 brings Mythos-class intelligence to anyone with a Claude account, API key, or AWS Bedrock integration. The performance jump over Claude Opus 4.8 is not incremental. It's the kind of leap that makes you rethink what you should be delegating to AI.

TL;DR: Claude Fable 5 at a Glance

Claude Fable 5 = Claude Mythos with safety classifiers - same underlying model, public access, blocked on a narrow set of high-risk topics

Launched June 9, 2026 - state-of-the-art across coding, vision, knowledge work, and scientific research benchmarks

API model ID: claude-fable-5 - available on Claude API, Amazon Bedrock, Vertex AI, and Microsoft Foundry

Pricing: $10 per million input tokens, $50 per million output tokens - less than half the price of Mythos Preview

Free on Pro, Max, Team, and Enterprise subscription plans through June 22, 2026; usage credits required after June 23

Safety classifiers fire in fewer than 5% of sessions and fall back to Claude Opus 4.8 - not a hard error

Claude Fable 5 vs Claude Opus 4.8 vs Claude Mythos 5: Quick Comparison

Key Takeaways: What You Need to Know About Claude Fable 5

Claude Fable 5 and Claude Mythos 5 share the same underlying model - Fable has safety classifiers on top; Mythos does not

Context window: 1 million tokens. Max output: 128,000 tokens per request - both are class-leading for production use

Fable 5 scored highest on Cognition's FrontierCode benchmark among all frontier models, even at medium effort levels

Refusals on sensitive topics return HTTP 200 with stop_reason: "refusal" - integrations must handle this explicitly, not as an error

Stripe used Fable 5 to complete a 50-million-line Ruby codebase migration in one day that would have taken a full team over two months

Knowledge cutoff: January 2026

Fable 5 is available on Claude.ai, Claude Code CLI, Claude Code for VS Code, Claude Cowork, Amazon Bedrock, Vertex AI, and Microsoft Foundry

Read More

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What Is Gemini Spark? Google's 24/7 Personal AI Agent Explained

Gemini Spark is Google's first true always-on personal AI agent, announced at Google I/O 2026. It runs 24/7 on dedicated cloud virtual machines - meaning it keeps working on your tasks even after you shut your laptop and go to sleep. If you use Gmail, Google Docs, Sheets, Calendar, or Chrome, Spark plugs into all of them out of the box without any setup. Right now it's in beta, locked behind Google's AI Ultra subscription at $100/month, and only available in the United States.

TL;DR - What Is Gemini Spark?

Gemini Spark is a cloud-hosted personal AI agent powered by Gemini 3.5 Flash and Google's Antigravity agentic harness, announced at Google I/O 2026 on May 19, 2026.

It runs persistently on Google's infrastructure 0 it does not stop when you close your device.

Native integrations include Gmail, Google Docs, Sheets, Slides, Drive, Calendar, and Chrome - all live at launch with zero setup.

You can delegate tasks by emailing Spark directly through a dedicated Gmail address.

Third-party MCP integrations at launch: Canva, OpenTable, and Instacart - with more partners coming.

Currently available as a US-only beta for Google AI Ultra subscribers ($100/month).

Gemini Spark vs Competing AI Agents

Key Takeaways

Gemini Spark is the first mainstream consumer AI agent with true persistent cloud execution - it works even when your device is off.

Its core moat is Google's existing infrastructure: Gmail, Drive, Calendar, Chrome - permissions already granted, zero integration friction.

The $100/month AI Ultra price also includes 20TB of cloud storage and YouTube Premium - but you're paying for an agent in beta.

Android Halo, launching later in 2026, will show real-time Spark activity in your status bar so you always know what the agent is doing.

Spark connects to third-party services via MCP (Model Context Protocol), with Canva, OpenTable, and Instacart available at launch.

Google flagged privacy trade-offs directly - this agent reads your email and documents at all times, by design.

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What Is Gemini Spark? Google's 24/7 Personal AI Agent Explained

Gemini Spark is Google's first true always-on personal AI agent, announced at Google I/O 2026. It runs 24/7 on dedicated cloud virtual machines - meaning it keeps working on your tasks even after you shut your laptop and go to sleep. If you use Gmail, Google Docs, Sheets, Calendar, or Chrome, Spark plugs into all of them out of the box without any setup. Right now it's in beta, locked behind Google's AI Ultra subscription at $100/month, and only available in the United States.

TL;DR - What Is Gemini Spark?

Gemini Spark is a cloud-hosted personal AI agent powered by Gemini 3.5 Flash and Google's Antigravity agentic harness, announced at Google I/O 2026 on May 19, 2026.

It runs persistently on Google's infrastructure 0 it does not stop when you close your device.

Native integrations include Gmail, Google Docs, Sheets, Slides, Drive, Calendar, and Chrome - all live at launch with zero setup.

You can delegate tasks by emailing Spark directly through a dedicated Gmail address.

Third-party MCP integrations at launch: Canva, OpenTable, and Instacart - with more partners coming.

Currently available as a US-only beta for Google AI Ultra subscribers ($100/month).

Gemini Spark vs Competing AI Agents

Key Takeaways

Gemini Spark is the first mainstream consumer AI agent with true persistent cloud execution - it works even when your device is off.

Its core moat is Google's existing infrastructure: Gmail, Drive, Calendar, Chrome - permissions already granted, zero integration friction.

The $100/month AI Ultra price also includes 20TB of cloud storage and YouTube Premium - but you're paying for an agent in beta.

Android Halo, launching later in 2026, will show real-time Spark activity in your status bar so you always know what the agent is doing.

Spark connects to third-party services via MCP (Model Context Protocol), with Canva, OpenTable, and Instacart available at launch.

Google flagged privacy trade-offs directly - this agent reads your email and documents at all times, by design.

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Claude Opus 4.8 Guide: Features, Benchmarks, Fast Mode 2026

Claude Opus 4.8, Anthropic's flagship model released May 28, 2026, is the most capable general-access model the company has shipped publicly. It upgrades Opus 4.7 at the same price - $5/$25 per million input/output tokens - while introducing four operational changes that actually change how you deploy it day to day. If you are already on Opus 4.7, the migration is a one-line model ID swap with no API-breaking changes.

TL;DR: Claude Opus 4.8 in 2026

Best overall for agentic coding: Leads SWE-bench Pro at 69.2% vs GPT-5.5's 58.6% - a genuine 10.6-point gap, not a rounding difference. But benchmark design matters: SWE-bench Pro tests repo-level issue resolution, not shell automation.

Fast mode is now viable: Dropped from $30/$150 to $10/$50 per million tokens - three times cheaper - at 2.5× speed. First time it pencils out for consumer-facing products at moderate scale.

Main limitation: GPT-5.5 leads Terminal-Bench 2.1 (78.2% vs 74.6%) and costs less. Opus 4.8 is the priciest frontier model by output rate - roughly 2.5× GPT-5.5 and 22× DeepSeek V4.

Biggest practical advantage: Dynamic Workflows in Claude Code spawns up to 1,000 parallel subagents for codebase-scale tasks - tested at 750,000 lines of Rust in 11 days. Verification latency, not context length, is the real bottleneck.

Honesty improvement is measurable: First Claude model to score 0% on uncritically reporting flawed results. In practice, this cuts downstream code review overhead - but coercive behavior emerged in mixed-agent deployments, a caveat most coverage omits.

Who should use it: Teams running agentic coding, large codebase migrations, or dense document analysis where code reliability savings exceed 30–40% of reviewer time. That is the break-even threshold against GPT-5.5's cost advantage.

Who should skip it: Teams doing terminal/CLI-heavy automation, high-volume low-complexity tasks, or anyone on Microsoft Foundry where context is capped at 200K tokens.

Claude Opus 4.8 vs GPT-5.5 vs Gemini 3.1 Pro: Quick Comparison

Benchmark leadership is evaluation-design dependent. Opus 4.8 leads on repo-level coding tasks; GPT-5.5 leads on terminal and shell workflows. Choosing a model based on the headline benchmark without checking which benchmark matches your workload type is the most common migration mistake.

Opus 4.8 uses approximately 35% fewer output tokens than Opus 4.7 on equivalent coding tasks, which narrows the effective cost gap with GPT-5.5 despite identical list pricing.

GPQA Diamond (graduate-level science) actually slipped 0.6 points from Opus 4.7 to 4.8 - a small regression that does not appear in most coverage of this release.

For computer use specifically, a third-party vendor reported 84% on Online-Mind2Web with Opus 4.8 - above both Opus 4.7 and GPT-5.5 - but this is one operator's result, not a published leaderboard figure.

Microsoft Foundry caps Opus 4.8 context at 200K tokens while Bedrock and Vertex AI carry the full 1M. Teams on Foundry needing full context should route elsewhere or wait for parity.

Key Takeaways: Claude Opus 4.8 Facts Worth Citing

Claude Opus 4.8 released May 28, 2026 - 41 days after Opus 4.7, the fastest release cadence in Anthropic's Opus model history. API model ID: claude-opus-4-8.

Pricing: $5/$25 per million tokens standard, $10/$50 fast mode - fast mode is three times cheaper than on prior Opus models and runs at 2.5× speed (~62 tokens/sec measured by Artificial Analysis).

SWE-bench Pro: 69.2% (Opus 4.8) vs 64.3% (Opus 4.7) vs 58.6% (GPT-5.5) vs 54.2% (Gemini 3.1 Pro). Opus 4.8 leads this benchmark by a meaningful margin.

USAMO 2026 math jumped 27.4 points in a single model cycle (69.3% → 96.7%) - the largest single-cycle math gain in the Opus line.

GraphWalks long-context F1 at 1M tokens improved from 40.3% to 68.1% - nearly doubled, relevant for large document and repository workloads.

First Claude model to score 0% on uncritically reporting flawed results. Four times less likely than Opus 4.7 to allow code flaws to pass without flagging them.

Dynamic Workflows (Enterprise/Team/Max plans in Claude Code) enables up to 1,000 parallel subagents for tasks exceeding a single context window.

Anthropic places Opus 4.8 between Opus 4.7 and the restricted Claude Mythos Preview on its internal capability ladder. Mythos general availability expected "in coming weeks."

Original deployment heuristic: Opus 4.8 earns its cost premium over GPT-5.5 when reliability savings reduce reviewer time by 30% or more on code review, document QA, or agentic pipeline monitoring. Below that threshold, GPT-5.5 wins on cost.

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Grok Build CLI: Features & Claude Code Comparison

Grok Build is xAI's first professional coding agent CLI launched on May 14, 2026, running directly in your terminal with parallel subagents, a Plan Mode for reviewing execution steps before they run, and MCP + ACP protocol support out of the box. It's currently in early beta for SuperGrok Heavy subscribers at $99/month (intro) or $299/month (standard).

Grok Build vs Claude Code - Quick Comparison

Grok Build is strongest for multi-agent parallel workflows and large codebases, while Claude Code remains the more mature option for production-grade agentic coding and complex refactoring. OpenAI Codex CLI still fits quick automation and GPT ecosystem users.

At the intro price, Grok Build starts at $99/month for SuperGrok Heavy subscribers, while Claude Code is included with Claude Max at $100/month. The standard Grok Build price later rises to $299/month, which makes it more of a professional engineering-team tool than a casual solo-dev option.

What Is Grok Build CLI?

Grok Build is xAI's first dedicated coding agent - a terminal-native CLI designed for professional software engineering, app development, and workflow automation. According to xAI's official announcement, it's built to handle "complex coding work" through natural-language prompts, and it runs directly inside your repository without requiring a browser or separate IDE.

The tool launched on May 14, 2026, currently gated behind the SuperGrok Heavy subscription. xAI is using the early beta phase actively - you can type /feedback directly in the CLI to send bug reports, feature requests, and reactions straight to the engineering team.

How to Install Grok Build CLI

Installation is handled through a single-command setup process. SuperGrok Heavy subscribers can access the beta directly at x.ai/cli and build.grok.com. The installation follows a standard npm workflow, and the CLI includes an optional web UI for visual monitoring alongside the full terminal interface.

Subscribe to SuperGrok Heavy at x.ai

Run the single-command install from the Grok Build page

Sign in with your SuperGrok Heavy credentials

Navigate to your project repository in terminal

Launch Grok Build inside your repo.

Read More… https://zypa.in/grok-build-cli/

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Google Health Is Replacing Fitbit: What Users Need to Know

If you have been using the Fitbit app, your app will update automatically. No separate download needed. Here is everything you need to know about the Google Health app features 2026.

Fitbit App Becoming Google Health App

According to Google the transition from the Fitbit app to the Google Health app begins rolling out on May 19, 2026. Existing Fitbit users do not need to download anything - the app updates automatically on their device.

Google Health App Interface: 4 Core Tabs

The Google Health app is organized into four main tabs. Each tab is focused on a specific area of your health data, making it easy to navigate without feeling overwhelmed.

Today - Your daily summary. Steps, active minutes, calories, heart rate, and any highlights from connected devices.

Fitness - Workout history, exercise goals, activity trends, and personalized fitness insights.

Sleep - Sleep stages, sleep score, resting heart rate during sleep, and progress over time.

Health - Medical records, lab results, vitals, medications, and health trends all in one place.

Health Connect, Apple Health, and Google Health API Support

One of the strongest features of the new Google Health is how it connects with other platforms. The app supports data sync through Health Connect, Apple Health, and the Google Health APIs. This means your health data from different apps and wearables can all flow into one unified view.

Google Health App Medical Records in the US

For US users, the Google Health goes beyond fitness tracking. You can sync your medical records directly inside the app. This includes:

Lab results

Vitals (blood pressure, heart rate, oxygen levels)

Medications

Health trends over time

Google Health Coach: AI Powered by Gemini

The biggest new addition is Google Health Coach, built directly into the app using Google's Gemini AI. This is not a generic chatbot. It reads your actual health data and gives you context-aware guidance based on what your numbers show.

Google Health Coach can provide:

Personalized workout suggestions based on your fitness history

Sleep progress insights and tips to improve your sleep score

Summaries of your medical records in plain, easy-to-understand language

Overall health insights that connect data across all four tabs

Your Fitbit Data Is Not Used for Google Ads

Privacy has been a concern since Google acquired Fitbit. According to Google Fitbit health and wellness data is not used for Google Ads. This applies to the Google Health as well. Your sleep data, medical records, and fitness metrics stay in your health profile and are not used to target you with advertisements.

Fitbit App vs Google Health App: Key Differences

Here is a quick comparison of what changed between the old Fitbit app and the new Google Health app: FeatureFitbit App (Old)Google Health App (2026)App NameFitbitGoogle HealthAI CoachingBasic goal nudgesGoogle Health Coach (Gemini AI)Medical RecordsNot availableLab results, vitals, medications (US)Platform ConnectionsFitbit ecosystem onlyHealth Connect, Apple Health, Google Health APIsTab NavigationDashboard viewToday, Fitness, Sleep, Health tabsData used for AdsNo (post-acquisition)NoDownload RequiredN/ANo - auto-update for existing users

Frequently Asked Questions

What is the Google Health app?

The Google Health app is a unified health and fitness platform that replaces the Fitbit app starting May 19, 2026. It combines fitness tracking, sleep monitoring, AI coaching, and medical record syncing into one app.

Is the Fitbit app becoming the Google Health app?

Yes. According to Google the Fitbit app is officially becoming the Google Health. The rollout begins May 19, 2026. Existing Fitbit users do not need to download anything - the app updates automatically.

What is Google Health Coach?

Google Health Coach is an AI feature built into the Google Health using Gemini. It provides personalized workout suggestions, sleep insights, medical record summaries, and overall health guidance based on your data.

Can I view my medical records in the Google Health app?

Yes, but only for US users currently. You can sync lab results, vitals, medications, and health trends directly inside the Google Health.

Does Google Health app use my data for ads?

No. According to Google Fitbit health and wellness data - which now lives in the Google Health - is not used for Google Ads targeting.

Does Google Health app work with Apple Health?

Yes. The Google Health can connect and sync data through Health Connect, Apple Health, and Google Health APIs, making it compatible across different platforms and wearables.

What are the tabs in the Google Health app?

The Google Health has four main tabs: Today (daily summary), Fitness (workouts and activity), Sleep (sleep stages and score), and Health (medical records and vitals).

Conclusion

The Google Health app is a major upgrade over the Fitbit app it replaces. The combination of Gemini-powered coaching, cross-platform data sync, and US medical record integration makes it one of the most comprehensive health apps available on Android in 2026. If you are a Fitbit user, the transition is automatic and seamless. If you are new to health tracking, this is a strong starting point with real depth behind it.

According to Google the rollout begins May 19, 2026 - so the updated app should be on your device soon if it is not already.

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Read the full post on ZYPA: https://zypa.in/google-health-app/

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How to Use ChatGPT Codex: Best Token-Saving Prompts (2026)

ChatGPT Codex is powerful for developer workflows: multi-file edits, CLI/API usage, shell commands, tests, and PR-ready code.But if your prompts are vague, Codex can waste tokens fast by reading too much context and producing overly long outputs.The full Zypa guide covers Codex setup, how it differs from Code Interpreter, why token efficiency matters, and practical prompt patterns developers can reuse.Read it here: https://zypa.in/how-to-use-chatgpt-codex/

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How to Make ChatGPT Agents: Create, Edit & Automate Tasks

OpenAI's ChatGPT Agents are more than chatbots — they're task executors that can browse the web, run code, manage files, and complete multi-step workflows with minimal input.In the full guide, you'll learn what ChatGPT Agents actually do, how to create them through the ChatGPT UI or Assistants API, how to edit them later, and where they deliver the highest ROI: research automation, data processing, customer support, code review, content drafting, and lead qualification.The big idea: start with one repeatable task, define sharp instructions, connect the right tools, and let the agent execute the workflow.Read More: How to Make ChatGPT Agents: Create, Edit & Automate Taskshttps://zypa.in/chatgpt-agents/

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This AI Agent Learns on Its Own… Here’s THE Hermes AI Agent

Hermes Agent, launched February 25, 2026 by Nous Research, is the fastest-growing open-source AI agent of 2026 — hitting 110,000 GitHub stars in ten weeks. Unlike OpenClaw, which executes tasks and stays static, Hermes runs a closed self-learning loop that makes the agent measurably better after every session. In this guide, we’ll cover what Hermes Agent is, how its self-learning loop works, how to set it up, and where it outperforms OpenClaw in real workflows.

What Makes Hermes Agent Different

Hermes Agent is a self-hosted, model-agnostic AI agent built around one principle: the agent improves through use, not configuration.

It was built by Nous Research — an open-source-first collective known for the Hermes model series, Atropos RL environments, and DisTrO distributed training. Their previous work on reasoning-capable, tool-using models fed directly into the agent’s architecture.

Where most agents (including OpenClaw) rely on human-written skill files and static memory, Hermes uses a closed feedback loop. Every task the agent completes becomes training data for its own future performance.

📌 Core design principle: Do → Learn → Improve. Repeat every session.

How the Self-Learning Loop Works

This is the architectural bet that separates Hermes from everything else in 2026.

After completing a task, the agent runs an internal review cycle:

Experience: Agent completes a multi-step workflow

Extraction: It identifies reusable patterns from what it executed

Skill Creation: Writes a new Markdown skill file automatically

Refinement: That skill self-improves every time it’s used

Nudge: Every 15 tasks, the agent reviews and updates its own knowledge base

The result: an agent handling customer queries in March will perform measurably better by June — with no manual updates. Benchmarks from early 2026 show Hermes recovered from task errors 22% more effectively than OpenClaw in Long-Horizon Task tests.

Skills follow the open agentskills.io standard — not a proprietary format, keeping you portable.

How to Use Hermes Agent: Full Set-up

Hermes Agent is written in Python and runs on your own machine or server. Here’s the full Hermes Agent installation to get started:

Prerequisites

Python 3.11+

Git

API key for your chosen LLM provider (Anthropic, OpenAI, etc.)

Telegram bot token (or other messaging interface)

Installation Steps

Step 1: Clone the repositorygit clone https://github.com/NousResearch/hermes-agent cd hermes-agent

Read more at How to Use Hermes Agent? OpenClaw with Self-Learning Loop

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Claude Leak 2026: Anthropic Accidentally Exposed 512K Lines

On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code – 512,000 lines across 1,906 TypeScript files – to the public npm registry. Claude Leak due to a single misconfigured debug file. Anthropic confirmed it was human error, not a breach. In this post, we’ll cover exactly what was exposed, what competitors now know, and the security risks that followed.

What Occurred: The Technical Failure

The contents of the code that was leaked

Public Access to Hidden Features

Subsequent Security Risks

The Official Anthropic Reaction

What Rivals Acquired