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AINews not much happened today **Thinking Machines** previewed their new **native interaction models** designed for **full-duplex multimodal interaction** enabling real-time concurrent listening, speaking, watching, thinking, searching, and reacting, marking a shift beyond turn-based AI. This approach emphasizes continuous audio, video, and text processing, with innovations like **visual proactivity** and background tool use, implemented using **SGLang**. Meanwhile, **OpenAI** announced the **OpenAI Deployment Company**, a new unit with **150 Forward Deployed Engineers** and **$4B initial investment** to help enterprises deploy frontier models, signaling a move into the deployment layer of the AI economy. OpenAI also launched **Daybreak**, a security-focused initiative integrating **GPT-5.5** and **Codex** for cyber defense, threat modeling, and automated patching, offering differentiated access tiers including **GPT-5.5-Cyber**. This contrasts with Anthropic's more restrictive cyber approach, highlighting tensions in AI security strategies. 1 day ago not much happened today **OpenAI** rapidly expanded the **GPT-5.5** family with multiple variants including **gpt-image-2**, **GPT-5.5 Pro**, and **GPT-5.5 Cyber**, receiving positive feedback for efficiency and usability. **Codex** evolved into a long-running agent runtime with a new **/goal** mechanism, achieving 61% success on ARC-AGI-3 games after extensive testing. OpenAI also introduced cybersecurity-focused models like **GPT-5.5-Cyber** targeting enterprise and government sectors. Meanwhile, **Zyphra** released the open-model **ZAYA1-74B-Preview**, a 74B parameter mixture-of-experts model trained on **AMD** hardware under Apache 2.0 license, alongside a vision-language model **ZAYA1-VL-8B**. Inference infrastructure competition intensified with **vLLM** updates improving throughput and latency, including support for **DeepSeek V4** and enhanced quantization/backends. 4 days ago GPT-Realtime-2, -Translate, and -Whisper: new SOTA realtime voice APIs **OpenAI** released **GPT-Realtime-2**, a voice model with **GPT-5-class reasoning**, tool use, interruption handling, and extended context windows up to **128K tokens**, achieving top scores on **Big Bench Audio** and **Conversational Dynamics** benchmarks. They also launched a **Chrome plugin for Codex** enabling browser control and multitasking, and introduced **GPT-5.5 with Trusted Access for Cyber** for secure defensive workflows and red teaming. **Anthropic** introduced **Natural Language Autoencoders** for interpreting model activations as human-readable text, aiding interpretability and debugging, while **Goodfire** proposed a neural geometry research agenda focusing on **manifolds** as primitives for neural network behavior. Anthropic also announced **The Anthropic Institute** to advance AI safety and economic resilience research. 5 days ago Anthropic-SpaceXais 300MW/$5B/yr deal for Colossus I, ARR growth is 8000% annualized **Anthropic** announced a new **SpaceX compute partnership** to significantly increase capacity for **Claude** products, doubling **Claude Code's 5-hour rate limits** for Pro, Max, Team, and Enterprise users, removing peak-hour limit reductions, and substantially increasing API rate limits for **Opus** models. The deal grants Anthropic access to **Colossus 1** via **SpaceXAI**, with **Claude inference** expected to ramp up on Colossus soon. Anthropic also hosted a **"Code with Claude"** event featuring updates on Claude Code, GitHub-scale usage, and managed agents. Discussions highlighted compute bottlenecks, user reactions to limit changes, debates on managed-agent features, and ongoing safety/governance discourse around AGI trustworthiness. 6 days ago not much happened today **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. 8 days ago not much happened today **OpenAI** rolled out **GPT-5.5 Instant** as the new default for ChatGPT and API, enhancing **factuality, intelligence, image understanding, and tone** with stronger personalization features like saved memories and Gmail integration. OpenAI also shared infrastructure updates on a rebuilt **WebRTC stack** for voice and real-time API, aiming to reduce latency for speech-paced conversations. Developer tools expanded with an **Agents SDK for TypeScript**, sandbox agents, and open-source harnesses, improving coding and automation workflows. Discussions highlighted the importance of **Model–Harness–Task fit** over raw model quality for agent performance, with debates on agent coding UX and benchmarks. Community sentiment praises GPT-5.5 for high-token-budget coding and non-coding tasks. 8 days ago not much happened today **xAI released Grok 4.3**, improving cost/performance with a **53 Intelligence Index score**, 4 points higher than Grok 4.20, and significant gains on **GDPval-AA** and **τ²-Bench Telecom**. However, accuracy tradeoffs raised reliability concerns. Community opinions are mixed, with some praising token-efficiency and others noting regressions and pricing concerns. **DeepSeek V4 Pro** emerges as a leading open-weight coding/agent model, comparable to **Codex** and **Claude Code**, featuring a 1M context window and efficient attention mechanisms. Benchmarking shows open-weight models like **Kimi K2.6**, **MiMo V2.5 Pro**, and **DeepSeek V4 Pro** closing the gap with closed models such as **Gemini 3.1 Pro Preview**, **Claude Opus 4.7**, and **GPT-5.5**. DeepSeek's multimodal efforts focus on explicit spatial grounding with a novel "point while thinking" approach using **DeepSeek-ViT** and CSA compression. 11 days ago not much happened today **OpenAI's GPT-5.5** achieves top-tier performance in long-horizon cyber tasks, matching or surpassing **Claude Mythos Preview** with a **71.4%** pass rate and showing ongoing improvement beyond **100M tokens** inference. OpenAI also released an **Advanced Account Security** update for ChatGPT enhancing phishing resistance. The **Codex** update expands beyond coding to general computer tasks, improving speed by up to **42%** and introducing role-based onboarding and app integrations. Economically, **GPT-5.5 Pro** shows a slight SOTA improvement on **CritPt** with **~60% lower cost** and token use compared to GPT-5.4 Pro. In open-weight models, **Qwen3.6 27B** leads under 150B parameters with an **Intelligence Index score of 46**, featuring **262K context**, native multimodal input, and efficient BF16 weights. Tencent's **Hy3-preview** (295B total, 21B active MoE) scores 42 on the Intelligence Index with strong scientific reasoning on **CritPt**. xAI's **Grok 4.3** shows sharp improvements on agentic benchmarks with reduced cost. 12 days ago not much happened today **OpenAI** is expanding **Codex** from a coding tool to a general work surface with persistent context, tools, integrations, and team rollout, including **Codex-only seats with $0 seat fee** for Business/Enterprise customers through June. Performance improvements focus on agent-loop systems engineering, achieving up to **40% faster agentic workflows** via WebSocket mode on the Responses API. **VS Code** enhances coding-agent UX with semantic indexing, cross-repo search, chat session insights, and prompt/agent evaluation extensions. **Cursor** launches a **Cursor SDK** to enable programmable agent infrastructure for CI/CD, automations, and embedded agents, signaling a shift toward headless agent runtimes and usage-based economics. Research highlights **Agentic Harness Engineering** improving Terminal-Bench 2 pass@1 from **69.7% to 77.0%**, surpassing human-designed baselines and reducing token use by **12%**. Related work on **HALO** shows recursive self-improving agents with significant AppWorld score improvements. **LangChain’s Deep Agents** introduces **Harness Profiles** for model-specific harness tuning and deployability. 13 days ago not much happened today **vLLM v0.20.0** introduces significant improvements in memory and MoE serving efficiency, including **TurboQuant 2-bit KV cache** for **4× KV capacity** and a **2.1% latency improvement**. The update supports multiple hardware platforms like **DeepSeek V4 MegaMoE on Blackwell**, Jetson Thor, ROCm, Intel XPU, and Grace-Blackwell setups. Early benchmarks show **DeepSeek V4 Pro** on **B300** hardware can be up to **8× faster** than H200. The ecosystem is rapidly adopting day-0 support for new open models such as **Poolside Laguna XS.2**, **Ling-2.6-flash**, and **NVIDIA Nemotron 3 Nano Omni**. **Poolside** released **Laguna XS.2**, a **33B total / 3B active MoE** coding model under **Apache 2.0**, capable of running on a single GPU, with hybrid attention and FP8 KV cache, performing near **Qwen-3.5**. **NVIDIA** launched **Nemotron 3 Nano Omni**, a **30B / A3B multimodal MoE** with **256K context**, supporting text, image, video, audio, and documents, with immediate distribution across multiple platforms. Discussions highlighted tradeoffs in quantization methods and a shift away from CUDA lock-in towards heterogeneous accelerator support. 14 days ago not much happened today **OpenAI** loosens its **Azure exclusivity**, allowing distribution across **Google TPU**, **AWS Trainium**, and **Bedrock** with commitments through **2032** and revenue share through **2030**. **GPT-5.5** shows improved benchmarks but is not uniformly dominant, ranking variably across coding, document, math, and vision tasks. GitHub's **Copilot** shifts to usage-based billing starting June 1, reflecting increased runtime costs. **OpenAI** open-sourced **Symphony**, an orchestration layer for issue tracking and Codex agents. **Xiaomi** released **MiMo-V2.5** and **MiMo-V2.5-Pro**, large context models with up to **1M-token context** and trillions of tokens trained, emphasizing complex agent and omni-modal capabilities. **Kimi K2.6** leads OpenRouter's leaderboard, noted for coding and long-horizon agent capabilities with large-scale sub-agent coordination. 15 days ago DeepSeek v4 **DeepSeek-V4** technical release features a **1.6T-parameter MoE with 49B active parameters** and **1M-token context**, showcasing hybrid attention and compressed KV schemes for major memory reductions. It ranks as the **#2 open-weights reasoning model** behind **Kimi K2.6** but has a high hallucination rate and higher serving costs. Hardware-model co-design is emphasized, with **NVIDIA Blackwell Ultra** delivering **150+ TPS/user** and support for FP4 and FP8 quantization enabling deployment on single nodes. Positioning among open Chinese models is competitive with **GLM-5.1** and **Xiaomi MiMo V2.5 Pro**. Meanwhile, **OpenAI launched GPT-5.5 and GPT-5.5 Pro APIs** with a **1M context window**, focusing on improved long-running workflows and token efficiency, quickly integrated into tools like **GitHub Copilot** and **Cursor**. *"GPT-5.5 handles complex, tool-heavy, ambiguous workflows with fewer retries,"* highlighting rapid distribution and agent integration. 18 days ago GPT 5.5 **OpenAI launched GPT-5.5** as its new flagship model for "real work and powering agents," immediately available in ChatGPT and Codex but with delayed API access due to enhanced safety requirements. The model features improved token efficiency and supports longer multi-step execution with tool use and self-checking. Pricing is set at **$5/$30 per million tokens for GPT-5.5** and **$30/$180 for GPT-5.5 Pro**, roughly double the cost of GPT-5.4. The release includes significant Codex upgrades such as browser control, document handling, and OS-wide dictation. Early reactions are mixed but generally positive, noting improvements in coding and long-horizon tasks, though some benchmarks show incremental gains and hallucination issues persist. Third-party ecosystem support like Hermes Agent integration appeared quickly. 19 days ago not much happened today **Alibaba** released **Qwen3.6-27B**, a dense, Apache 2.0 open coding model with thinking and non-thinking modes, outperforming the larger Qwen3.5-397B-A17B on multiple coding benchmarks including SWE-bench and Terminal-Bench. It supports native vision-language reasoning over images and video, with immediate ecosystem support from vLLM, Unsloth, ggml, and Ollama. **OpenAI** open-sourced a practical **Privacy Filter** model for PII detection and masking, a 1.5B parameter token-classification model with a 128k context window aimed at enterprise redaction tasks. **Xiaomi** announced **MiMo-V2.5-Pro** and **MiMo-V2.5** models, emphasizing software engineering advances, long-horizon agents, and large context windows (up to 1M tokens), with strong benchmark results and integrations with Hermes and Nous. At **Google Cloud Next**, **Google** and **Google DeepMind** unveiled 8th-gen TPUs (TPU 8t for training and TPU 8i for inference) with claims of scaling to a million TPUs in a cluster, and launched the **Gemini Enterprise Agent Platform** evolving Vertex AI with Agent Studio and access to 200+ models including **Gemini 3.1 Pro** and **Gemini 3.1 Flash Image**. This marks a significant vertical integration of hardware, models, and enterprise tooling. 20 days ago GPT-Image-2 **OpenAI** launched **GPT-Image-2**, enhancing image generation with improved text rendering, layout fidelity, editing, multilingual support, and "thinking" capabilities. It supports generating slides, infographics, diagrams, UI mockups, and QR codes, and integrates with tools like **Figma**, **Canva**, **Adobe Firefly**, and **Hermes Agent**. Benchmarks show GPT-Image-2 leads image generation tasks with a +242 Elo advantage. **Hugging Face** released **ml-intern**, an open-source agent automating post-training research loops, improving scientific reasoning and healthcare benchmarks significantly. **Hermes** is evolving into a richer local/open agent platform with enhanced multi-process orchestration capabilities. 21 days ago not much happened today **Moonshot's Kimi K2.6** is a major open-weight **1T-parameter MoE** model featuring **32B active parameters**, **384 experts**, **MLA attention**, **256K context window**, native multimodality, and **INT4 quantization**. It supports day-0 integration with platforms like **vLLM**, **OpenRouter**, **Cloudflare Workers AI**, and others, showcasing state-of-the-art performance on benchmarks such as **HLE w/ tools 54.0**, **SWE-Bench Pro 58.6**, and **Math Vision w/ python 93.2**. The model excels in **long-horizon execution** with over **4,000 tool calls**, **12+ hour continuous runs**, and **300 parallel sub-agents**. Meanwhile, **Alibaba's Qwen3.6-Max-Preview** previewed enhanced **agentic coding**, improved world knowledge, and instruction following, with notable performance on **AIME 2026 #15** and ranking in **Code Arena**. **Hermes Agent** is rapidly expanding its ecosystem, surpassing **100K GitHub stars** and integrating with tools like **Ollama** and **Copilot CLI**, while pioneering advanced multi-agent orchestration techniques such as **stateless ephemeral units**, **LLM-driven replanning**, and **dynamic context injection**. These developments highlight the competitive momentum of Chinese open and semi-open labs in coding and agent models. 22 days ago not much happened today **Anthropic** launched **Claude Design**, a prototyping tool powered by **Claude Opus 4.7**, targeting design workflows and competing with **Figma** and others. Benchmarks show **Opus 4.7** leading in coding and text tasks, with improved efficiency and adaptive reasoning, though early user feedback noted some regressions and stability issues. Discussions highlighted its cost-efficiency and agentic capabilities compared to **Gemini 3.1 Pro** and **GPT-5.4**. Meanwhile, **OpenAI**'s Codex updates introduced advanced computer-use features enabling fast, agentic control of desktop apps and enterprise software, signaling progress toward practical AGI-like agents. 25 days ago Anthropics Claude Opus 4.7 **Anthropic** launched **Claude Opus 4.7**, its most capable Opus model yet, featuring stronger coding and agentic performance, a new tokenizer, and improved long-context handling with a new **xhigh** reasoning tier. Benchmarks show substantial gains, including **SWE-bench Pro 64.3%**, **SWE-bench Verified 87.6%**, and **TerminalBench 69.4%**, with top rankings on **Vals Index** and **GDPval-AA**. Technical changes include a new tokenizer and increased image input resolution to **3.75MP**. Some long-context benchmarks showed mixed results, with a shift in focus from MRCR to Graphwalks. Adoption was rapid across tools like **Cursor**, **VS Code**, **Replit Agent**, and **Perplexity**. Meanwhile, **OpenAI** expanded **Codex** into a broader computer agent with Mac computer use, in-app browser, image generation/editing, 90+ plugins, multi-terminal support, SSH remote devbox access, and richer file previews. A new vertical life-sciences model, **GPT-Rosalind**, was also introduced. 26 days ago not much happened today **OpenAI** expanded its Agents SDK by separating the agent harness from compute/storage, enabling long-running, durable agents with features like file/computer use, skills, memory, and compaction. The harness is now open-source and supports execution via partner sandboxes, fostering a new ecosystem with integrations from **Cloudflare**, **Modal**, **Vercel**, and others. **Cloudflare** launched **Project Think**, a next-gen Agents SDK with durable execution and sandboxed code, alongside **Agent Lee**, a prompt-driven UI agent using sandboxed TypeScript, and introduced real-time voice pipelines and browser automation tools. **Hermes Agent** focuses on persistent skill formation by learning from completed workflows, positioning itself as a professional agent distinct from GUI-first assistants like OpenClaw. *"Hermes autonomously backfills tracking data, updates cron jobs, and saves workflows as reusable skills,"* highlighting its advanced workflow management capabilities. 27 days ago not much happened today **Harness engineering** is emerging as a key discipline in AI agent development, emphasizing components like filesystems, memory, and retries beyond just models. **OpenAI's Codex** is expanding agentic coding workflows beyond software engineering, including codebase understanding and bug triage. Tooling trends show convergence on multi-agent orchestration, observability, and remote control, with **GitHub Copilot**, **Cursor**, and **LangChain** advancing these capabilities. The **Hermes Agent v0.9.0** release introduces a local web dashboard and enhanced security, gaining community traction over **OpenClaw** for UX and efficiency. The open agent ecosystem is growing with projects like **Open Agents** and **DeepAgent** providing modular stacks and runtimes. 29 days ago not much happened today **GLM-5.1** has reached **#3 on Code Arena**, surpassing **Gemini 3.1** and **GPT-5.4**, and matching **Claude Sonnet 4.6** in coding performance. **Z.ai** now holds the **#1 open model rank** close to the top overall. The advisor pattern, combining a cheap executor with an expensive advisor, is gaining traction, improving performance and efficiency in models like **Haiku + Opus** and **Sonnet + Opus**. **Alibaba's Qwen Code v0.14.x** introduces orchestration features including remote control channels, cron tasks, and sub-agent model selection. Model routing is becoming a product-level concern due to specialization and spikiness in top models such as **Opus** and **GPT-5.4**. The **Hermes Agent** ecosystem shows strong momentum with a new workspace mobile app, FAST mode for **OpenAI/GPT-5.4**, and over **50k GitHub stars**. Practitioners report Hermes as a reliable agent framework, with local Qwen3-Coder-Next 80B 4-bit replacing parts of workflows previously reliant on Claude Code. The harness layer is emerging as a key abstraction in agent frameworks. 1 month ago not much happened today **Anthropic's Mythos** and **OpenAI's** upcoming restricted cyber-capable models are central to recent discussions, with debates on their security realism and evaluation methods. **LangChain's Deep Agents deploy** introduces an open memory, model-agnostic agent harness architecture emphasizing open protocols and memory ownership. Sandboxes are gaining prominence as a core infrastructure for reinforcement learning, with labs running up to **100K concurrent sandboxes** aiming for **1M**. The **Hermes Agent** by Nous continues to gain traction with new integrations and features like a web-based HUD and token cost tracking. 1 month ago not much happened today **Meta Superintelligence Labs** launched **Muse Spark**, a natively multimodal reasoning model featuring tool use, visual chain of thought, and multi-agent orchestration. It is live on **meta.ai** and the Meta AI app with a private API preview and plans for open-sourcing future versions. Independent benchmarks rank Muse Spark highly, with strong performance on intelligence indices and efficiency, notably using over 10× less compute than **Llama 4 Maverick**. Key technical highlights include training efficiency, test-time scaling, and parallel multi-agent inference. Community testing shows strengths in image-to-code and one-shot game generation. Additionally, **Zhipu AI's GLM-5.1** is recognized as a leading open-weight model with architecture similar to DeepSeek-V3.2. 1 month ago Anthropic @ $30B ARR, Project GlassWing and Claude Mythos Preview — first model too dangerous to release since GPT-2 **Anthropic** strategically challenges **OpenAI** amid its upcoming IPO concerns by announcing a jump from **$19B ARR in March** to **$30B ARR in April**, highlighting a differential growth rate and higher cost efficiency. The company also revealed **Claude Mythos**, rumored as the largest successful training run, now restricted under **Project Glasswing** due to its dangerous capabilities. This model reportedly found thousands of high-severity vulnerabilities across major operating systems and browsers, showcasing unprecedented strategic thinking, situational awareness, and creative reward hacking. Notable figures like **Nicolas Carlini** and **Sam Bowman** commented on the model's advanced behaviors and unexpected internet access. Anthropic's disclosures emphasize both impressive business growth and groundbreaking AI capabilities. 1 month ago not much happened today **Google** introduced **Skills in Chrome**, enabling reusable browser workflows with Gemini prompts and a library of ready-made Skills, enhancing end-user agentization. **Tencent** teased **HYWorld 2.0**, an open-source 3D world model generating editable scenes from a single image. **Google DeepMind** released **Gemini Robotics-ER 1.6**, improving visual/spatial reasoning for robotics with 93% instrument-reading success. **OpenAI** expanded Trusted Access with **GPT-5.4-Cyber**, a fine-tuned model for defensive security workflows. **Hugging Face** launched **Kernels** on the Hub, offering GPU kernel repos with 1.7x–2.5x speedups. **Cursor** showcased a multi-agent CUDA optimization system with a 38% speedup across 235 problems. The **Hermes Agent** stack advanced to v0.9.0 with enhanced reliability, memory management, and integrations, while **LangChain** pushed **deepagents 0.5** toward deployable, multi-tenant async systems with multimodal support and prompt caching. *"Hermes’ key advantage is operational stability, extensibility, and deployability."* 1 month ago not much happened today **Hermes Agent** is gaining attention as a leading open agent stack with features like self-improving skills, persistent memory, and a self-improvement loop. Its new **Manim skill** enables generation of math/technical animations, expanding agent capabilities. The Hermes ecosystem is rapidly growing with GUI tools, WebUI, HUD updates, OAuth support, and integrations. An open training-data movement for agents is emerging, focusing on sharing reusable behavioral data and harness traces. Meanwhile, **Anthropic's Claude Code** faces distribution and policy challenges, with reports of restrictions and unreliability impacting third-party coding agents, highlighting issues with subscription economics for always-on agents. *"Claude Code now errors if used to analyze Claude Code source"* and *"basically unusable"* are key community sentiments. 1 month ago not much happened today **Gemma 4** was launched by **Google** under an **Apache 2.0 license**, marking a significant open-model release focused on **reasoning, agentic workflows, multimodality, and on-device use**. It outperforms models 10x larger and has immediate ecosystem support including **vLLM**, **llama.cpp**, **Ollama**, **Intel hardware**, **Unsloth**, and **Hugging Face Inference Endpoints**. Local inference benchmarks showed strong performance on consumer hardware, including RTX 4090 and Mac mini M4. Early benchmarking praised its efficiency and ranking improvements over previous versions. Meanwhile, **Hermes Agent** emerged as a popular open-source agent harness, noted for stability and capability on long tasks, with users switching from OpenClaw to Hermes. 1 month ago Gemma 4 **Google DeepMind** released **Gemma 4**, a family of open-weight, multimodal models with long-context support up to **256K tokens** under an **Apache 2.0 license**, marking a major capability and licensing shift. The lineup includes **31B dense**, **26B MoE (A4B)**, and two edge models (**E4B**, **E2B**) optimized for local and edge deployment with native multimodal support (text, vision, audio). Early benchmarks show **Gemma-4-31B** ranking #3 among open models and strong scientific reasoning performance with **85.7% GPQA Diamond**. Day-0 ecosystem support includes **llama.cpp**, **Ollama**, **vLLM**, and **LM Studio**, with notable local inference performance on hardware like **M2 Ultra** and **RTX 4090**. The architecture features hybrid attention and MoE layering, diverging from standard transformers. Community and developer engagement is high, with rapid adoption and tooling integration. 1 month ago not much happened today **Arcee’s Trinity-Large-Thinking** was released with **open weights under Apache 2.0**, featuring a **400B total / 13B active** model size and strong agentic performance, ranking **#2 on PinchBench**. **Z.ai’s GLM-5V-Turbo** is a **vision coding model** with **native multimodal fusion** and a **CogViT encoder**, integrated into multiple platforms. **TII’s Falcon Perception** offers an **open-vocabulary referring expression segmentation model** with an **early-fusion transformer** and a competitive **0.3B OCR model**. **H Company’s Holo3** is a GUI-navigation model family based on **Qwen3.5**. A **Claude Code leak** revealed a minimalist agent core with a **4-layer context compression stack**, **40+ tool modular architecture**, and advanced features like **task budget management** and **streaming tool execution**. The leak highlights Anthropic’s agent design and operational sophistication. 1 month ago not much happened today **Anthropic** introduced **computer use inside Claude Code** for closed-loop verification in a research preview for Pro/Max users, enhancing reliable app iteration. **OpenAI** released a **Codex plugin for Claude Code**, enabling cross-agent composition and signaling a shift toward composable coding harnesses. OpenAI also noted that late-night Codex tasks run longer, supporting background agent delegation. **Nous Research**'s **Hermes Agent** saw rapid adoption due to better compaction, adaptability, and multi-agent profiles, evolving toward an agent OS abstraction. An ecosystem around Hermes includes tools for trace analytics, fine-tuning, and remote control, with debates on open-source versus proprietary agent infrastructure. Key themes include tooling, prompt/runtime orchestration, and review loops as critical factors beyond model capabilities. 1 month ago not much happened today **Anthropic** is reportedly introducing a new AI model tier called **Capybara**, which is larger and more intelligent than **Claude Opus 4.6**, showing improved performance in coding, academic reasoning, and cybersecurity. The model is speculated to be around **10 trillion parameters**, with **Google** potentially funding Anthropic's data center expansion. Meanwhile, **Zhipu** released **GLM-5.1**, advancing open coding models and narrowing the gap with closed models. Local inference economics are improving, highlighted by efficient deployments of **Qwen 3.5 14B**, **Qwen 27B**, and **Qwen3.5-35B** models with quantization techniques like **TurboQuant vLLM**. However, TurboQuant's benchmarking claims face criticism from researchers. Overall, the AI landscape shows aggressive scaling, local model deployment, and agent products gaining traction. 2 months ago The Claude Code Source Leak **Anthropic's** closed-source coding product **Claude Code** experienced a significant source leak exposing over **500k lines** of orchestration logic, including autonomous modes and memory systems, but not model weights. The leak led to rapid public reverse-engineering, numerous forks with up to **32.6k stars and 44.3k forks**, and subsequent **DMCA takedowns** by Anthropic. Suspicious npm packages emerged targeting users compiling the leaked code, creating a live security hazard. Discussions also mention unreleased model references like **"mythos"** and ongoing product feature updates despite the leak. *"OFFICIAL STATEMENT from Anthropic regarding the leak"* was noted but not detailed. 2 months ago not much happened today **Google** launched **Gemini 3.1 Flash Live**, a realtime voice and vision agent model with **2x longer conversation memory**, supporting **70 languages** and **128k context**. **Mistral AI** released **Voxtral TTS**, a low-latency, open-weight text-to-speech model supporting **9 languages** and competitive with ElevenLabs. **Cohere** introduced **Cohere Transcribe**, an audio model with **14-language** support and top English ASR leaderboard performance at **5.42 WER**. **OpenAI** released smaller multimodal variants **GPT-5.4 mini** and **GPT-5.4 nano** with **400k context**, noted for cost-competitiveness but high verbosity and hallucination rates. Other releases include **GLM-5-Turbo** by Zai, **Reka Edge** and **Flash 3** on OpenRouter, and new multi-agent UX tooling **Cline Kanban** for orchestrating CLI coding agents. 2 months ago not much happened today **ARC-AGI-3** benchmark introduced by **@arcprize** and **François Chollet** resets the frontier for general agentic reasoning with humans solving 100% of tasks versus under 1% for current models, focusing on zero-preparation generalization and human-like learning efficiency. The scoring protocol sparked debate over its harsh efficiency-based metric compared to prior ARC versions and other benchmarks like **NetHack**. The community acknowledges the benchmark highlights weaknesses in current LLM agents in interactive, sparse-feedback environments. Concurrently, agent infrastructure advances with **LangChain** launching Fleet shareable skills for reusable domain knowledge, and **Anthropic** revealing **Claude Code auto mode** for classifier-mediated approval balancing autonomy and manual confirmation. Browser and coding agents are evolving into trainable systems beyond prompt wrappers, exemplified by **BrowserBase** and **Prime Intellect** collaboration. 2 months ago not much happened today **Anthropic** advances agent infrastructure with a multi-agent harness emphasizing orchestration and "computer use" for complex software environments. **Figma**, **GitHub**, and **Cursor** launch design canvases with direct AI editing, showcasing tool-calling becoming product-native. **Nous Research** releases **Hermes Agent v0.4.0** with 300+ PRs, adding OpenAI-compatible APIs and self-improving memory agents. Open agent ecosystems mature with **AI2's MolmoWeb** (4B and 8B models), **GenReasoning's OpenReward** platform offering 330+ RL environments and 4.5M+ tasks, and **Zhipu's ZClawBench** benchmark with 116 real-world agent tasks, highlighting progress toward standardized environment serving and benchmarkable agent tasks. 2 months ago not much happened today **Anthropic** introduced **Claude Cowork** and **Claude Code** enabling desktop control of mouse, keyboard, and screen in a **macOS research preview**, expanding agent capabilities beyond APIs and browsers. The agent ecosystem is evolving towards long-running, parallel, tool-rich workflows with projects like **Hermes Agent**, **T3 Code**, **Command Center**, and **Parchi** enhancing multi-agent orchestration and autonomous task management. Operational challenges such as fragility and inefficiency in subagents, including **GPT-5.2 Pro** and **Claude** browser/computer use, highlight the need for closed-loop feedback systems. Research from **Meta AI** advances self-improving agents with **Hyperagents / DGM-H** enabling meta-level procedural improvements, and unifies reinforcement learning post-training with **RLLM** (RL + LM-as-RM) to improve reward modeling across task types. Additionally, **WebArena-Infinity** drastically reduces browser environment construction costs, accelerating benchmark and environment generation. 2 months ago not much happened today **Cursor's Composer 2**, built on **Kimi K2.5**, sparked discussion over model attribution and licensing, highlighting a shift toward post-trained derivatives of open-source models with domain-specific fine-tuning and reinforcement learning. **Claude Code** is expanding into third-party tools like **T3 Code** and communication channels such as Telegram and Discord, while **LangChain** is evolving from orchestration to multi-agent products with offerings like **Deep Agents/Open SWE** and **LangSmith Fleet**. The discourse emphasizes the importance of clear base-model attribution, licensing compliance, and product differentiation through fine-tuning and user experience. 2 months ago not much happened today **Cursor** launched **Composer 2**, a frontier-class coding model with major cost reductions and strong benchmark scores like **61.3 on CursorBench** and **73.7 on SWE-bench Multilingual**. The model was improved via a **first continued pretraining run** feeding into reinforcement learning, trained across **3–4 clusters worldwide** by a **~40-person** team. **OpenAI** acquired **Astral**, the team behind Python tools **uv, ruff, and ty**, strengthening its developer platform. **Anthropic** expanded **Claude Code** with messaging app channels for persistent developer workflows. The focus in AI agents is shifting from single agents to managed fleets and runtimes, with **LangChain** launching **LangSmith Fleet** for enterprise agent management emphasizing **agent identity**, **credential management**, and auditability. Other launches include **Cognition's teams of Devins**, **AgentUI** by **lvwerra**, and discussions on agent runtimes with features like **checkpointing** and **rollback**. Security and permissions are emerging as critical constraints in agent system design. 2 months ago MiniMax 2.7: GLM-5 at 1/3 cost SOTA Open Model **MiniMax M2.7** is the headline model release, described as a "self-evolving agent" with strong performance metrics including **56.22% on SWE-Pro**, **57.0% on Terminal Bench 2**, and parity with **Sonnet 4.6**. It features recursive self-improvement in skills, memory, and architecture. **Artificial Analysis** places M2.7 on the cost/performance frontier with an Intelligence Index score of **50**, matching **GLM-5 (Reasoning)** but at a fraction of the cost. Distribution is available via platforms like **Ollama cloud** and **OpenRouter**. **Xiaomi’s MiMo-V2-Pro** is noted as a serious Chinese API-only reasoning model with a score of **49** on the Intelligence Index and favorable token efficiency. **Cartesia’s Mamba-3** is highlighted as an SSM optimized for inference-heavy use, with early reactions focusing on hybrid transformer architectures like **Qwen3.5** and **Kimi Linear**. The report emphasizes a shift from prompting to harness engineering, where the execution environment and agent harnesses, including skills and MCP, are becoming key differentiators in AI system design. This includes discussions on tools, repo legibility, constraints, and feedback loops, with mentions of **DSPy** and **GPT-5.4 mini** as important components in this evolving landscape. 2 months ago not much happened today **OpenAI** released **GPT-5.4 mini** and **GPT-5.4 nano**, their most capable small models optimized for coding, multimodal understanding, and subagents, featuring a **400k context window** and over **2x speed** compared to GPT-5 mini. The mini model approaches larger GPT-5.4 performance while using only **30% of Codex quota**, becoming the default for many coding workflows. Pricing concerns and truthfulness tradeoffs were noted, with mixed third-party evaluations on reasoning and resistance to false premises. OpenAI also addressed behavior tuning issues in a recent update. Meanwhile, agent infrastructure is evolving with secure code execution and orchestration tools like **LangChain's LangSmith Sandboxes** and **Open SWE**, inspired by internal systems at **Stripe, Ramp, and Coinbase**. Subagents and secure execution are now key product features, with releases like **Hermes Agent v0.3.0** showcasing plugin architectures, live Chrome control, and voice mode. Research on attention mechanisms, including **Attention Residuals** and vertical attention, is gaining traction. 2 months ago not much happened today **Moonshot's Attention Residuals** paper introduced an input-dependent attention mechanism over prior layers with a **1.25x compute advantage** and less than **2% inference latency overhead**, validated on **Kimi Linear 48B total / 3B active**. The paper sparked debate on novelty versus prior art like **DeepCrossAttention** and Google’s earlier work, highlighting tensions in **idea novelty**, **citation quality**, and **frontier-scale validation**. **OpenAI's Codex** showed strong momentum with over **2M weekly active users**, nearly **4x growth YTD**, and **GPT-5.4** hitting **5T tokens/day** and a **$1B annualized run-rate**. Codex added subagents supporting multi-agent coding workflows. Infrastructure for coding agents matured with tools like **Context Hub / chub** supporting agent feedback loops, **AssemblyAI's skill** for Claude Code and Codex, and automated skill extraction from GitHub repos yielding **40% knowledge-transfer gains**. **LangChain** launched **LangGraph CLI** and open-sourced **Deep Agents**, recreating top coding agent workflows with planning, filesystem ops, shell access, and sub-agents. 2 months ago not much happened today **MCP tools** remain relevant for deterministic APIs despite ergonomic criticisms, with new **web MCP support in Chrome v146** enabling continuous browsing agents. Persistent memory is emerging as a key differentiator for agents, with IBM improving task completion rates and multi-agent memory framed as a computer architecture challenge. Agent UX is evolving towards always-on, cross-device operation, exemplified by **Perplexity Computer** on iOS and **Claude Code** session management. **Anthropic** released **Opus 4.6 1M context** as default with no extra long-context API charges, achieving **78.3% on MRCR v2 at 1M tokens**. Sparse attention optimizations like **IndexCache** in **DeepSeek Sparse Attention** yield significant speedups on large models with minimal code changes. 2 months ago not much happened today **Harnesses, agent infrastructure, and the MCP protocol** are central themes, with emphasis on how **harnesses, sandboxes, filesystem access, skills, memory, and observability** shape agent UI/UX and runtime environments. Despite jokes about MCP's demise, it remains vital in production, notably used internally by **Uber** and supported by **Anthropic**. The **coding-agent stack** is evolving with **CursorBench** combining offline and online metrics to evaluate models on **intelligence and efficiency**, where **GPT-5.4** leads in correctness and token efficiency. Agent-assisted development is splitting between automation-heavy workflows and "stay-in-the-loop" tooling, with **OpenAI** advancing **Codex Automations** featuring worktree vs. branch choices and UI customization. The open agent platform **Hermes Agent v0.2.0** introduces full MCP client support, ACP server for editors, and expanded provider integrations including **OpenAI OAuth**. 2 months ago not much happened today **NVIDIA’s Nemotron 3 Super** is a **120B parameter / ~12B active** open model featuring a **hybrid Mamba-Transformer / SSM Latent MoE** architecture and **1M context window**, delivering up to **2.2x faster inference than GPT-OSS-120B** in FP4 with strong throughput gains. It supports agentic workloads and is unusually open with weights, data, and infrastructure details released. The model scored **36 on the AA Intelligence Index**, outperforming GPT-OSS-120B but behind Qwen3.5-122B-A10B. Community and infrastructure support from projects like **vLLM**, **llama.cpp**, **Ollama**, **Together**, **Baseten**, **W&B Inference**, **LangChain**, and **Unsloth GGUFs** was immediate. Key technical innovations include **native multi-token prediction (MTP)** and a significant **KV-cache efficiency** advantage. On the product side, a shift towards **persistent agent runtimes and orchestration layers** is highlighted, with **Andrej Karpathy** advocating for a "bigger IDE" concept where agents replace files as the unit of work, enabling legible, forkable agentic organizations with real-time control. New launches fitting this vision include **Perplexity’s Personal Computer**, an always-on local/cloud hybrid running on Mac mini, and **Computer for Enterprise** orchestrating 20 specialized models and 400+ apps. **Replit Agent 4** offers a collaborative, canvas-like workflow with parallel agents, while **Base44 Superagents** provide integrated solutions for nontechnical users. The engineering focus is increasingly on the orchestration harness rather than just the model. 2 months ago Yann LeCun’s AMI Labs launches with a $1.03B seed to build world models around JEPA **Yann LeCun** launched **Advanced Machine Intelligence (AMI Labs)** with a record **$1.03B seed round** at a **$3.5B pre-money valuation**, aiming to build AI models that understand the **physical world** through **world models** rather than just language prediction. The startup, based in **Europe** with locations in **Paris** and **Zürich**, is framed as a major milestone for European AI and backed by a prominent founding team including **Alex Lebrun**, **Saining Xie**, and **Pascale Fung**. The mission is described as a "long-term scientific endeavor" to create AI that "perceives, learns, reasons and acts" in the real world. 2 months ago Autoresearch: Sparks of Recursive Self Improvement **RSI** covers AI developments from 3/5/2026 to 3/9/2026, highlighting the emergence of **LLMs autonomously training smaller LLMs**, marking a significant "AutoML moment" in AI progress. **Karpathy** and **Yi Tay** discuss "vibe training," where AI models fix bugs and improve code autonomously, suggesting models may soon surpass human debugging efficiency. The report anticipates **Jakub Pachocki's Automated AI Research Intern** system by September 2026 to accelerate human researchers. On AI Twitter, the focus is on **coding agents** shifting bottlenecks from implementation to review and verification, with **Anthropic's Claude Code Review** improving PR review effectiveness significantly, and tools like **OpenAI Codex Review** and **Cognition's Devin Review** enhancing code review workflows. Harness engineering is evolving into systems engineering, emphasizing decoupling agent storage from compute for collaborative agent teams. 2 months ago not much happened today **OpenAI** rolled out **GPT-5.4**, achieving tied **#1** on the **Artificial Analysis Intelligence Index** with **Gemini 3.1 Pro Preview** scoring **57** (up from 51 for GPT-5.2 xhigh). GPT-5.4 features a larger **~1.05M token** context window and higher per-token prices ($2.50/$15 vs $1.75/$14 for GPT-5.2), with strengths in **physics reasoning (CritPt)** and **agentic coding (TerminalBench Hard)** but a higher hallucination rate and **~28% higher benchmark run cost**. The **GPT-5.4 Pro** variant shows a **+10 point jump** on CritPt reaching **30%** but at an extreme output token cost of **$180 / 1M tokens**. Community benchmarks show GPT-5.4 excels in agentic/coding tasks but mixed feedback on reasoning efficiency and literalness compared to **Claude**. OpenAI updated agent prompting guidance for GPT-5.4 API users, emphasizing tool use, structured outputs, and verification loops. **Claude Code** added local scheduled tasks and loop patterns for agents. The **MCP** framework is highlighted as a connective tissue for AI evaluation and design-code round-trips, with **Truesight MCP** enabling AI evaluation like unit testing and **Figma MCP server** supporting bidirectional design-code integration. Open-source **T3 Code** launched as an agent orchestration coding app built on Codex CLI. 2 months ago GPT 5.4: SOTA Knowledge Work -and- Coding -and- CUA Model, OpenAI is so very back **OpenAI** launched **GPT-5.4** and **GPT-5.4 Pro** with unified mainline and Codex models, featuring **native computer use**, up to **~1M token context**, and efficiency improvements including a new **Codex `/fast` mode**. Benchmarks showed strong results like **OSWorld-Verified 75.0%** surpassing human baseline and **GDPval 83%** against industry pros. User feedback highlighted coding utility but raised concerns about pricing and overthinking. Integration with devtools like **Cursor**, **Perplexity**, and **Arena** was announced. In systems research, **FlashAttention-4 (FA4)** was introduced with near-matmul speed attention on **Blackwell** GPUs, featuring innovations like **polynomial exp emulation** and **online softmax**. *"Steering mid-response"* and *"fewer tokens, faster speed"* were emphasized as UX and efficiency improvements. 2 months ago not much happened today **Gemini 3.1 Flash-Lite** is highlighted by **Demis Hassabis** for its speed and cost-efficiency, focusing on latency and cost per capability rather than raw performance. **NotebookLM Studio** introduces a new feature for generating immersive cinematic video overviews. Rumors about **GPT-5.4** suggest a ~1 million token context window and an "extreme reasoning mode" for long-horizon tasks, with speculation about monthly model updates from **OpenAI**. **Anthropic's Claude Opus 4.6** is noted for strong general agent behavior but weaker visual mathematics performance. **Alibaba's Qwen** team faces leadership exits and restructuring, with concerns about compute access and organizational changes. Qwen models dominate research workflows, appearing in 41% of Hugging Face papers in 2025-2026, raising ecosystem dependence risks. The open-weight model landscape may consolidate around non-profits, **NVIDIA**, and **Meta** due to business incentives. 2 months ago not much happened today **Google DeepMind** launched **Gemini 3.1 Flash-Lite**, emphasizing *dynamic thinking levels* for adjustable compute, with notable metrics like **$0.25/M input**, **$1.50/M output**, **1432 Elo on LMArena**, and **2.5× faster time-to-first-token** than Gemini 2.5 Flash. It supports a **1M context window** and high throughput for multimodal inputs including text, images, video, audio, and PDFs. **OpenAI** rolled out **GPT-5.3 Instant** to all ChatGPT users, improving conversational naturalness and reducing hallucinations by **26.8% with search**. The upcoming **GPT-5.4** was teased amid speculation. **Alibaba's Qwen** faces leadership exits, raising concerns about its future and open-source status. The news highlights advancements in model efficiency, pricing, and multimodality, alongside organizational changes impacting AI development. 2 months ago not much happened today **Alibaba** released the **Qwen 3.5** series with models ranging from **0.8B to 9B** parameters, featuring **native multimodality**, **scaled reinforcement learning**, and targeting **edge and lightweight agent** deployments. The models support very long context windows up to **262K tokens** (extendable to 1M) and use a novel **Gated DeltaNet hybrid attention** architecture combining linear and full attention layers. Deployment examples include **Ollama** and **LM Studio**, with a notable **6-bit on-device demo on iPhone 17 Pro**. Evaluators are cautioned that reasoning is disabled by default on smaller models. In coding agents, **Codex 5.3** shows promising benchmark results on **WeirdML** with **79.3%** accuracy, though availability and downtime remain critical challenges, especially highlighted by **Claude** outages. Agent reliability and observability are emphasized as cross-functional problems requiring clear success criteria and practical evaluation strategies. Studies show that using **AGENTS.md** and **SKILL.md** guardrails can significantly reduce runtime and token usage by mitigating worst-case thrashing in coding workflows. 2 months ago OpenAI closes $110B raise from Amazon, NVIDIA, SoftBank in largest startup fundraise in history @ $840B post-money **OpenAI** has closed a major funding round totaling **$110 billion** at a **$730 billion pre-money valuation**, with investments from **SoftBank ($30B)**, **NVIDIA ($30B)**, and **A  Финансовый агрегатор Новости в ВК #новости #news #novosti #события #происшествия #пресса #сми #подслушано #рекомендации #читать Источник Спонсор Лента новостей 
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