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Are you also feeling like “coding” is quietly turning into “delegating work to a small team of agents”… and we’re just adjusting our vocabulary in real time?

Today had three announcements that all point in the same direction: longer-horizon agents + better supervision + more cross-checking.

Today:

• Anthropic’s Opus 4.6: "Labor-as-a-Service" Shocks the Market

• Anthropic Launches Claude Opus 4.6 with 1M Token Context 

• OpenAI Releases GPT-5.3 Codex: A Self-Correcting Coding Agent

• Perplexity Introduces "Model Council" for Multi-Model Consensus

• OpenAI "Frontier" Brings Autonomous AI Agents to the Enterprise

Opus 4.6 is about to send SHOCKWAVES…

Anthropic has launched Claude Opus 4.6, a big step beyond its earlier AI. The model can read and remember up to one million tokens—roughly an entire large codebase—and can spot and fix its own mistakes before showing results. Early tests show large gains on long, difficult tasks, especially coding jobs that once took hours. 

Opus 4.6 arrives alongside new Claude Co-work add-ons that let multiple AI “employees” tackle parts of the same project at once, hinting at a future of “labor-as-a-service.” A faster, cheaper follow-up model, Claude Sonnet 5, is confirmed and expected soon. The announcement shocked tech investors, triggering drops in traditional software firms worldwide.

WATCH THE VIDEO ON YOUTUBE

GPT-5.3-Codex makes coding agents feel… supervised (in a good way)

OpenAI shipped GPT-5.3-Codex positioning it as their most capable agentic coding model yet, and notably ~25% faster.

What actually jumped out to me isn’t just the raw benchmark flex — it’s the interaction model:

• In the Codex app, it’s designed to be more interactive while it works, giving frequent updates and letting you steer in real time instead of waiting for a final “ta-da” output.

• OpenAI also says it was instrumental in creating itself: early versions helped debug training, deployment, and evaluation analysis.

• On the safety side, they call it their first “High capability” model for cybersecurity-related tasks under their framework, and say it’s the first they’ve directly trained to identify software vulnerabilities (with extra precautions).

• Availability: it’s in paid ChatGPT plans anywhere Codex runs (app/CLI/IDE/web), with API access not enabled yet (“soon”).

My take: this is a step toward the “manager UI” for agents: if the agent is going to run for hours/days, the winning feature is supervision without micromanaging.

Claude Opus 4.6 pushes long-context + “agent stamina” hard

Anthropic also dropped Claude Opus 4.6 framing it as an upgrade to their smartest model with stronger coding, better planning, and longer-running agentic work — plus a 1M token context window (beta), which is a big “okay, we’re doing this now” moment.

A few concrete bits:

• They say it’s better at code review + debugging and operating in larger codebases more reliably.

• They highlight improvements against “context rot,” and cite a long-context retrieval benchmark (MRCR v2 1M variant) where Opus 4.6 scores far higher than a comparison model.

• Developer-side controls are getting more “agent-ready”: adaptive thinking, multiple effort levels, and context compaction (beta) to keep longer sessions going.

• They also mention agent teams in Claude Code (research preview) — parallel subagents that coordinate on read-heavy tasks like reviews.

• Pricing + access: available on claude.ai + API + major cloud platforms; API model name claude-opus-4-6, and they say token pricing remains $5/$25 per million tokens.

My take: this reads like a direct bet on “deep work” agents: long context, long runtime, fewer mistakes, fewer “wait what were we doing?” spirals.

Model Council: Perplexity’s “run multiple models, then merge the truth” mode

Perplexity launched Model Council, a feature that runs your prompt across three frontier models at once, then uses a synthesizer to merge the results and flag disagreements.

Key points:

• The pitch is simple: model performance varies by task, so instead of guessing, ask several models simultaneously.

• It’s explicitly framed as a way to move faster when models converge and slow down when they disagree.

• Availability: Perplexity Max subscribers on web now, mobile “coming soon.”

My take: this is “LLM ensemble thinking” packaged as a product feature. It won’t magically make wrong info disappear — but it will make uncertainty more visible, which is half the battle.

🧠RESEARCH

ERNIE 5.0 Technical Report

ERNIE 5.0 is a massive new AI system that masters text, audio, and video simultaneously. By using a smart, efficient design, it unifies these different formats into one model. This approach allows it to understand and create complex multimedia content while optimizing computer power and speed.

FASA: Frequency-aware Sparse Attention

FASA solves the memory problem in long AI conversations. Instead of remembering every single word, it intelligently identifies and keeps only the crucial details. This smart filtering speeds up the AI and drastically lowers memory usage, allowing it to handle huge amounts of text without losing track of the topic.

Semantic Routing: Exploring Multi-Layer LLM Feature Weighting for Diffusion Transformers

This research upgrades how AI turns text into images. By carefully selecting which layers of language understanding to use during the creation process, the model builds more accurate pictures. It ensures the final image aligns perfectly with the user's detailed description, fixing common errors found in previous models.

🛠️TOP TOOLS

Each listing includes a hands-on tutorial so you can get started right away, whether you’re a beginner or a pro.

Claid AI – AI Product Photography Suite - AI product‑photography suite for ecommerce and marketplaces.

ClassPoint AI – AI PowerPoint Quiz Generator - Microsoft PowerPoint add‑in that reads the text on your slide and instantly creates a quiz question you can run live—without leaving PowerPoint.

Cleanup Pictures – AI Photo Editor / Object Removal - browser-based AI retouching tool that removes unwanted objects, people, text, logos, and defects from photos using inpainting.

📲SOCIAL MEDIA

🗞️MORE NEWS

OpenAI Launches "Frontier" for Business Bots OpenAI has released a new system called Frontier that lets companies build and manage digital workers that can actually do tasks, not just chat. These AI assistants connect directly to a business's internal data and software to handle complex jobs like customer support or analyzing sales numbers. The goal is to move beyond simple chatbots and create reliable AI teammates that work alongside humans.

OpenAI Gives Cyber Defenders Special Access To help fight hackers, OpenAI is starting a program that gives security experts special access to its most powerful AI models. This "trusted access" allows defenders to use advanced tools for finding software bugs and fixing security holes before bad actors can exploit them. They are also forming a council of experts to advise on how to keep these powerful AI tools safe and helpful.

Google Hits Record $400 Billion Revenue Google’s parent company, Alphabet, had a massive year, bringing in over $400 billion for the first time thanks to a boom in AI demand. Their cloud computing business grew by nearly 50%, and their new Gemini 3 AI model is driving more people to use their search and subscription products. The CEO called it a "tremendous" quarter, showing that their huge bets on artificial intelligence are starting to pay off financially.

Meta Tests a "Just for Fun" AI Video App Meta is testing a new app called "Vibes" that looks like TikTok but is filled entirely with videos made by artificial intelligence instead of people. Currently available in Brazil and Mexico, the app lets users scroll through an endless feed of AI-generated clips tailored to their interests. It separates this computer-made content from your friends' posts, creating a dedicated space for watching purely synthetic entertainment.