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Sakana’s RL Conductor trains a tiny 7B model to orchestrate GPT Claude and Gemini at low cost

Sakana’s RL Conductor trains a tiny 7B model to orchestrate GPT Claude and Gemini at low cost

Sakana AI says its RL Conductor turns a small 7B model into an “orchestra conductor” that dynamically routes tasks across GPT-5, Claude Sonnet 4, Gemini 2.5 Pro, and open-source workers. Instead of hardcoded pipelines like LangChain, it learns coordination via reinforcement learning—cutting tokens and API calls while boosting reasoning and coding benchmark scores. The tech now powers Sakana Fugu’s enterprise API.

Summarised by Beize from a story on Venture Beat on 8 May 2026
Miami startup Subquadratic claims 1000x AI efficiency with subquadratic LLM researchers demand independent proof

Miami startup Subquadratic claims 1000x AI efficiency with subquadratic LLM researchers demand independent proof

Miami startup Subquadratic says its SubQ 1M-Preview LLM finally escapes the quadratic attention cost that has constrained major models since 2017. It claims up to 1,000x attention-compute reductions and launches an API, coding agent, and search tool after a $29 million seed. But researchers question cherry-picked benchmarks and missing pricing, calling for independent validation.

Summarised by Beize from a story on Venture Beat on 6 May 2026

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Indian cybersecurity firms deploy AI agents to cut vulnerability fixes from days to hours

Indian cybersecurity firms deploy AI agents to cut vulnerability fixes from days to hours

Indian cybersecurity firms are rolling out in-house AI agents powered by large language models to speed up vulnerability detection and remediation, shrinking timelines from days to hours. With attackers already operating at machine speed, the margin for human intervention is collapsing toward near zero, making rapid automated response increasingly critical.

Summarised by Beize from a story on The Economic Times on 6 May 2026
AI scaffolding is collapsing and LlamaIndex CEO says only context will truly survive

AI scaffolding is collapsing and LlamaIndex CEO says only context will truly survive

LlamaIndex’s CEO Jerry Liu argues the “scaffolding” developers once needed for LLM apps—indexing layers, retrieval pipelines, and complex orchestration—is collapsing as models and tools improve. In this shift, he says the real differentiator is context: better parsing of file formats and agentic document understanding like OCR. He also warns builders to stay modular as models change and parts of stacks will be replaced.

Summarised by Beize from a story on Venture Beat on 2 May 2026
Poolside releases free Apache open model Laguna XS2 for local agentic coding on laptops and single GPUs

Poolside releases free Apache open model Laguna XS2 for local agentic coding on laptops and single GPUs

San Francisco startup Poolside has launched Laguna XS.2, a high-performing, Apache 2.0 open-weight AI model aimed at agentic coding—writing code and using tools locally. Developers can download it to run on a laptop with quantization, while the larger Laguna M.1 is temporarily offered for free via APIs. Poolside also introduced “pool” and “shimmer” to turn models into hands-on coding agents.

Summarised by Beize from a story on Venture Beat on 28 Apr 2026
Xiaomi releases open source MiMo V2.5 models that slash token costs for agentic claw tasks

Xiaomi releases open source MiMo V2.5 models that slash token costs for agentic claw tasks

Xiaomi has launched MiMo-V2.5 and MiMo-V2.5-Pro under the permissive MIT License, making them production-friendly and easy to run locally or on private clouds. Xiaomi’s benchmarks show the Pro model performing extremely well on “claw” agent tasks while consuming roughly 40–60% fewer tokens than top closed models—aimed squarely at cost-heavy, long-context automation.

Summarised by Beize from a story on Venture Beat on 28 Apr 2026

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