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The open-source app everyone uses to manage agents at work
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The open-source app everyone uses to manage agents at work
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Boris Cherny says cut the harness to the bone, and calls it Ablation. A look at what real ablation requires that his version skipsContinue reading on Medium »
→ View original sourceDSPy: The framework for programming—not prompting—language models
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Docker has introduced Docker Sandboxes, which provide disposable and isolated environments specifically designed for AI agents. These sandboxes offer a secure way to execute agentic workflows within contained infrastruct…
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This week's notable updates include a restructuring at Google DeepMind where Demis Hassabis will serve as Chair and Jeff Dean departs. Other highlights include the WeatherNext climate AI model, Oracle's open-source polic…
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Two July 2026 papers demonstrate that AI improves its understanding of physics through compression, aligning with the thesis that compression captures structural knowledge. The studies show models reconstruct concepts fr…
→ View original sourceThe article details the author's approach to employing large language models (LLMs) for learning and mastering complex topics, outlining specific prompt strategies and iterative feedback techniques. It describes how thes…
→ View original sourceHey everyone, I've been experimenting with the new DeepSeek-V4-Flash-0731 release locally using the Unsloth Studio Q8_K_XL GGUF with OpenCode. Overall, it's been working really well, but I
→ View original sourceThe video reports that roughly 70 % of global AI revenue is generated by just two companies, OpenAI and Anthropic, underscoring the market concentration in the field. It
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A new open-source tool called "local-llmup" has been released to help users check hardware compatibility for local LLM runtimes including Ollama, MLX, llama.cpp, and LM Studio. The tool is available as an npm package and…
→ View original sourceThe paper critiques the G-AP metric for benchmark contamination mitigation, arguing that aggregating performance metrics masks per-question over- and under-suppression effects. It proposes a stratified per-question proba…
→ View original sourceThis research investigates the limitations of simply increasing the scale of multimodal environment pools for training agents. The authors demonstrate that effective agent learning requires optimized environment distribu…
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