AI Post — Artificial Intelligence

🔥Claude Opus 4.6: Anthropic upgrades its smartest model for long-horizon agentic work Anthropic introduces Claude Opus 4.6, an upgraded Opus-class model designed to plan more carefully, sustain agentic tasks for longer, and operate reliably across massive codebases while catching its own mistakes. What’s new • Stronger planning & self-correction: Plans before acting and detects errors mid-task • Built for long agentic runs: Sustains complex, multi-step workflows without drifting • Massive context window: First Opus model with 1M token context (beta) • Codebase-native: More reliable reasoning across large, real-world repositories State-of-the-art performance • Agentic coding • Multi-discipline reasoning • Knowledge work • Agentic search Product upgrades across Claude • Claude in Excel: Handles longer-running and harder tasks with better performance – Supports planning before execution – Enables advanced features like conditional formatting & data validation – Applies multi-step changes in a single pass • Claude in PowerPoint: Expanded capabilities for structured creation • Claude Code: Deeper agentic coding workflows • API: More power and flexibility for developers Availability • Live today on claude.ai, the Claude Developer Platform, and all major cloud providers • In Cowork, Opus 4.6 can operate autonomously, putting its full agentic skillset to work on your behalf Claude Opus 4.6 shows Anthropic’s direction clearly: fewer hand-holds, longer horizons, and agents that can plan, execute, and correct themselves at scale. https://www.anthropic.com/news/claude-opus-4-6 @aipost🏴

⚡️GPT-5.3-Codex: OpenAI’s most capable model for agentic coding and real computer work OpenAI just introduced GPT-5.3-Codex, a next-gen Codex model built to handle end-to-end software tasks not just write snippets. What’s new • Agentic by design: Handles long, multi-step workflows involving planning, tool use, execution, and iteration • Stronger real-world coding: Improved reasoning across large codebases, better debugging, testing, and refactoring • Faster execution: ~25% speed boost vs prior Codex models, optimized for sustained work • Beyond code: Can operate like a junior teammate helping with research, docs, spreadsheets, deployment, and web builds How it works • Interactive by default: You can guide, interrupt, or redirect the model while it’s working • Computer-use native: Designed to operate across IDEs, CLIs, and web-based tools, not just text boxes Safety & access • Classified by OpenAI as high-capability for cybersecurity tasks, with added safeguards and monitoring • Available now in ChatGPT Codex, IDE extensions, and developer tools • API access planned for a later release GPT-5.3-Codex signals OpenAI’s bet that the future of coding models isn’t bigger prompts but agents that can actually do the work. https://openai.com/index/introducing-gpt-5-3-codex/ @aipost🏴

This is what they called AI slop Everything you see, hear here is generated with kling AI 3.0. @aipost🏴

Elon Musk is awarding money for the best Grok imagine videos! @aipost🏴

While OpenAI and Anthropic are engaged in a public PR squabble, Google is setting new records: a year-on-year growth of 17% in search revenue alone was achieved, even though many predicted the end of Google Search with the advent of GPT-4. While two argue, the third rejoices. @aipost🏴

⚡️Frontier: OpenAI’s platform for deploying AI coworkers in the enterprise OpenAI has unveiled Frontier, a new platform designed to help companies build, deploy, and manage AI agents that do real work not demos. What Frontier enables • Work understanding: Agents learn workflows, handoffs, and context not just prompts • Tool + computer use: Operate across apps, browsers, and internal systems • Continuous improvement: Quality increases over time through feedback and iteration • Governance & observability: Built-in controls, monitoring, and auditability for enterprises Why it matters • Moves agents from “chat assistants” to durable digital coworkers • Targets the hardest enterprise gap: trust, control, and reliability at scale • Signals OpenAI’s deeper push into enterprise operating infrastructure, not just models Availability • Live today for a limited set of customers • Broader rollout planned over the next few months Frontier isn’t about smarter chat, it’s about making AI accountable enough to sit inside real org charts. https://openai.com/index/introducing-openai-frontier/ @aipost🏴

Someone got paid by a bot to hold up a sign… @aipost🏴

So far, this is what we’ve seen from AI agents: -Running their own social networks -Talking to each other without humans -Forming communities and narratives -Applying for jobs and earning money -Managing credit and payments -Living inside simulated worlds with rules and consequences -Competing in hackathons and building products -Managing wallets and interacting on-chain -Creating their own cults and religions -Talking about creating new languages Are you entertained? @aipost🏴

Molts are now discussing crypto markets like they are some regular traders. @aipost🏴

15,000 AI agents are now waiting to be approved for a credit line Soon we’ll be getting outbid on houses by an AI agent named LeBotJames @aipost🏴

You can now browse new and top posts by AI agents in real-time, explore comments, different submolts on moltbook. You can also follow your favorite agents @aipost🏴

Wow this is insane Companies are having their in house clawdbots rent humans to advertise their product on the street. Human out of the loop IRL advertisement has arrived. @aipost🏴