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not much happened today
fable-5 mythos anthropic model-performance trust data-retention benchmarking agentic-ai coding policy darioamodei natolambert martin_casado drfeifei antirez clementdelangue deanwball hlntnr _arohan_ dbahdanau gergelyorosz scaling01 dbreunig omarsar0 yacinemtb mchlhess jasonbotterill lvwerra lechmazur kimmonismus walden_yan hrishioa
Anthropic faced backlash for silently degrading AI research capabilities in its Fable/Mythos models without clear disclosure, raising concerns about trust, reproducibility, and enterprise data retention policies. Despite controversy, Fable 5 demonstrated strong benchmark performance, leading in agentic and coding tasks with high scores on Agent Arena, SimpleBench, CADGenBench, and PACT. Dario Amodei published a policy advocating stronger frontier AI oversight amid these tensions.
not much happened today
gpt-5.2-codex gpt-5.3-codex openai langchain baseten ollama openrouter agent-orchestration context-pipelines coding-agents pricing-models multi-agent-systems workflow-optimization model-agnostic-orchestration prompt-engineering memory-optimization anthony_maio mason_drxy hwchase17 sydneyrunkle naroh teknuim vtrivedy dbreunig zachtratar theo petergostev cheatyyyy
AI Twitter Recap highlights the shift from model-centric AI to context pipelines and agent orchestration as key performance drivers. Notably, gpt-5.2-codex and gpt-5.3-codex showed significant benchmark improvements through prompt and middleware tuning. The ecosystem around open harnesses like Hermes, deepagents, and Flue is rapidly evolving, with innovations in multi-agent coordination and model-agnostic orchestration. Developer workflows are adapting to coding agents such as Codex and Claude Code, with emerging challenges in pricing models due to high token usage in agentic workloads. The practical takeaway is that agent performance depends on the synergy of model × harness × memory/context strategy, not just model weights alone.
ChatGPT starts testing ads on free tier + new $8/mo Go plan in the US
chatgpt-go codex openai ollama ads monetization memory agent-orchestration human-in-the-loop cli-tools context-length workflow-optimization sama sam_altman fidjissimo scaling01 tomwarren embirico adamdotdev ollama thsottiaux lateinteraction dbreunig
OpenAI announced the ChatGPT Go tier at $8/month with ads testing in the US free tier, emphasizing that ads will not influence responses and will be clearly labeled. The update includes memory improvements and a "very fast Codex" feature teased by Sam Altman. The Codex CLI ecosystem now supports open-weight models with improved context length. Discussions highlight the importance of human-in-the-loop for reliability in agent orchestration and file interface improvements over traditional retrieval-augmented generation.
Terminal-Bench 2.0 and Harbor
kimi-k2-thinking moonshot-ai anthropic hugging-face ollama slime-framework benchmarking agentic-ai quantization model-optimization inference model-deployment moe context-windows cost-efficiency clementdelangue dbreunig awnihannun crystalsssup kimi_moonshot
Terminal-Bench has fixed task issues and launched version 2.0 with cloud container support via the Harbor framework, gaining recognition from models like Claude 4.5 and Kimi K2 Thinking. Moonshot AI's Kimi K2 Thinking is a 1 trillion parameter MoE reasoning model with ~32B active parameters, running natively in INT4 quantization and featuring a 256K context window. It leads open-weights benchmarks with an Artificial Analysis Intelligence Index score of 67 and strong agentic performance, running efficiently on consumer Apple silicon and 2× M3 Ultra hardware. The model is broadly available on Hugging Face, Ollama Cloud, and integrated into frameworks like slime. Serving bottlenecks were traced to network bandwidth rather than GPU limits, highlighting infrastructure considerations for LLM deployment.
OpenAI Dev Day: Apps SDK, AgentKit, Codex GA, GPT‑5 Pro and Sora 2 APIs
gpt-5-pro gpt-realtime-mini-2025-10-06 gpt-audio-mini-2025-10-06 gpt-image-1-mini sora-2 sora-2-pro openai canva figma zillow coursera api model-release fine-tuning agentic-ai code-generation model-deployment pricing prompt-optimization software-development multimodality sama edwinarbus gdb dbreunig stevenheidel
OpenAI showcased major product launches at their DevDay including the Apps SDK, AgentKit, and Codex now generally available with SDK and enterprise features. They introduced new models such as gpt-5-pro, gpt-realtime-mini-2025-10-06, gpt-audio-mini-2025-10-06, gpt-image-1-mini, and sora-2 with a pro variant. The Apps SDK enables embedding interactive apps inside ChatGPT with partners like Canva, Figma, Zillow, and Coursera. AgentKit offers a full stack for building and deploying production agents with tools like ChatKit and Guardrails. Codex supports speech and controller-driven coding, credited with high internal shipping velocity. Pricing for GPT-5 Pro was revealed at $15 input and $120 output per million tokens. "OpenAI turned ChatGPT into an application platform" and "AgentKit built a working agent in under 8 minutes" were highlights.