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…the incomplete phrase "Extraordinary c", providing insufficient context for a meaningful summary of the author's intended argument or critique. Reflection 70B's performance is significantly worse when benchmarked using the latest…
…optimizing AI performance with a focus on using shorter contexts for better results, potentially transitioning these insights to GPT-4 and publishing them as blogs. An active exchange about malware security in relation to HuggingFace, with …
…as a meaningful step up, especially in instruction following, context reliability, and stability, while still suffering from verbosity and high token usage. Elsewhere, @scaling01 claimed recent ALE-Bench runs show Chinese models like…
…messages, and tabular data all contain substantial content with contextual relationships. IDEFICS 2-8B Continued work from last year's IDEFICS, a totally open source reproduction of Google's Flamingo unreleased multimodal model. Rewind…
…to AI, but remained relatively unchanged (or AI SRE or AI Data Engineering as a category seemed to particularly struggle). Today many of the leading coding agent companies took steps in the “Close the Outer Loop” direction. For a lead…
…rather than outside of it (this is one of three variants as context, head, or layer). The paper notably uses a surprisal measure to update its memory: and models forgetting by weight decay The net result shows very promising context…
…4 31B and prior Qwen variants. Key details: Apache 2.0, 262K context, native multimodal input, and BF16 weights small enough to fit on a single H100. The companion 35B A3B MoE scored 43, making it the strongest open model around 3B active…
…Prompting Success: @exhort_one shared their journey in prompt engineering, which, after several iterations and learning from the community, led to a successful generation of the desired script. OpenAI Channel Summaries ▷ #ai-discussions…
…particularly concerning pretraining and finetuning in health engineering contexts. Transitioning to Cloud: @zhiyyang expressed intent to start testing on the cloud rather than locally for convenience, appreciating the information shared by …
…3 Opus, best of 4 runs. We are working on clustering and flow engineering with Haiku. AI and Robotics Research Developments AI and robotics progress: @adcock_brett shares a weekly roundup of the most important research and developments in…
…and insights provided, highlighting the complexities of prompt engineering and the nuances of leveraging AI models for specific project goals. Links mentioned: How do you maintain historical context in repeat API calls?: Each time I make a …
…datasets, which could include sensitive content, in the context of roleplay and function-calling. Guardrails on the Guard: Drawing upon collective wisdom, strategies for constructing model guardrails were debated, suggesting the use of a…
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A conversation with Greg Brockman about OpenAI’s path to AGI, alongside our analysis of GPT-5, Codex, and the shift to agentic coding.
Thariq Shihipar on Claude Code’s next era: prompts, harnesses, plugins, and agents—and what it takes to keep pace with the frontier.
Marc Andreessen on the future of the browser, Pi and OpenClaw, and why this wave of AI feels different.
Priscilla Chan and Mark Zuckerberg on Biohub’s plans for frontier AI and virtual biology, and the ambition to cure or prevent disease.
Anima Anandkumar on modeling the physical world, from weather to fusion reactors, and why physics needs more than language models.
John Platt on automating science, tackling climate change, and how the next generation can contribute in the age of AI.
Anthropic brings interactive apps into Claude with an open MCP standard for richer AI interfaces.
What Sam Altman’s town hall reveals about building startups in the age of AI.
Moonshot’s multimodal model brings competitive coding, native image and video understanding, and parallel agents.
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