Alright, here's my 2026 AI Predictions (What did I miss?): -All meaningful progress benchmarks shift to code gen capabilities. Models write looong systems, debug themselves, and ship real applications. Your dad will proudly show you an app he made. Short prompts expand into
CODE
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Self-hosted Gmail, Docs, Drive alternatives emerging through code
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Soon people will vibe code their own self-hosted GMail, Google Docs, GDrive, etc. https://t.co/69C2WyNOrh
— Marek Rosa | European🇪🇺 | South African🇿🇦 (@marek_rosa) 1 janvier 2026Soon people will vibe code their own self-hosted GMail, Google Docs, GDrive, etc.
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Systematic AI Training Pipeline Evolution
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The training pipeline is genius: Stage 1: CPT on 500B tokens of structured code tasks
Stage 2: Two-stage SFT with error masking
Stage 3: RL with chunk-level optimization Each stage builds on the last. No shortcuts. Just systematic capability building. -
AI Infrastructure Breakthrough in 2025
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Chinese AI labs just dropped a bombshell research paper that exposes why 99% of "AI agent" companies are building on broken infrastructure. The ROME model + ALE ecosystem might be the most important open-source release of 2025. Here's what nobody's talking about:
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Observing and Evaluating LLM Agents on LangChain Academy
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📊 Learn how to observe & evaluate agents on LangChain Academy 📊
— LangChain (@LangChain) 31 décembre 2025
Testing applications is essential to the development lifecycle, but LLM systems are non-deterministic – you can’t always predict how they will behave.
Add multi-turn interactions and tool-calling agents, and… pic.twitter.com/MGedeywILTLearn how to observe & evaluate agents on LangChain Academy Testing applications is essential to the development lifecycle, but LLM systems are non-deterministic – you can’t always predict how they will behave. Add multi-turn interactions and tool-calling agents, and
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Agent-Native Software Architecture: The Future of AI-Driven Development
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Here are my 2026 predictions for how AI will change software:
— Dan Shipper 📧 (@danshipper) 31 décembre 2025
– An agent-native software architecture. Most new software will just be Claude Code in a trench coat—new features are just buttons that activate prompts to an underlying general agent.
– Designers get superpowers—and… pic.twitter.com/uxUtkDWDvtHere are my 2026 predictions for how AI will change software: – An agent-native software architecture. Most new software will just be Claude Code in a trench coat—new features are just buttons that activate prompts to an underlying general agent.
– Designers get superpowers—and -
Claude Code roleplays snitchy foreman calling out lazy colleague
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Claude Code loves to roleplay as a snitchy foreman calling out their colleague's lazy work
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Debating the current state of AI-assisted coding tools
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On vit un moment assez fou. Voir le développeur de Minecraft partir en croisade contre l’IA qui code, jusqu’à la comparer aux NFT, est assez révélateur. (De mon point de vue, il est resté bloqué sur l’état de Copilot d’il y a deux ans et ne s’est pas vraiment intéressé à l’état
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OpenAI’s 2025 Ship Cycle: GPT-5 Releases and AI Agents
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OpenAI’s 2025 ship cycle was relentless: GPT-5 (Aug 7), GPT-5.1 + Codex-Max (Nov), GPT-5.2 + GPT-5.2-Codex (Dec), plus new ChatGPT Images (GPT-Image-1.5) with 4x faster, more consistent edits. Agents are the real story. Track the tools and more on Futurepedia.
#OpenAI