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@mrdrozdov
Search and Agents @ Databricks
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Databricks says the architecture combines episodic and derived memory through plugins, on-demand tools and offline consolidation.
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A post calls them the “best company” and “best city” but does not name either.
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A researcher introducing the benchmark says the top model scored 16.6%, while meeting physical requirements remains a major challenge.
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A post describes “science again” as a common refrain at COLM, while questioning whether RL loss tweaks are better.
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A keynote listener highlights the idea that stronger models will need longer prompts because people will demand more of them.
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A user quote-posted the Recurse Center link with a fire emoji and no further explanation.
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One of the paper's authors reports more diverse, less repetitive creative output with XTC, a sampling method that can exclude high-probability choices for what comes next.
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A September 25 announcement says the work has an oral slot in the conference’s E&D track, celebrating recognition for research focused on users.
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Turing Post’s September 22 roundup includes JEPA-Anything, DeepSeek-V4.1-Flash and several papers on recursive self-improvement, alongside an AliceAI model release.
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A user expressed excitement while quoting another post.
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Creator Diogo Almeida claims Jev is 20–200x faster and 40–400x cheaper, with free output tokens. Investor DCVC says it led TypeSafe’s $40 million seed round.
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A post sharing a Weaviate Podcast episode says the key lesson was giving an analysis agent tools to investigate why relevant documents ranked poorly, rather than relying on a score alone.
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“Bricked my Jarvis,” a user wrote, describing the tension between big Codex projects and keeping daily email automations running within usage limits.
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Perplexity founders confirm appointment with focus on open research in continual learning and multi-agent systems.
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The release treats ColBERT-style late interaction models as a first-class model type for training, inference, and interpretation.
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Four former Google researchers found a public benefit corporation to automate machine learning and science.
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Sarah Wiegreffe noted the three conferences scheduling in San Francisco across consecutive years and asked if it was coincidence.
