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Model Releases

How can you improve your agentic search pipeline? I just wrote a blog post with @tech_optimist from @lancedb to answer exactly that. TLDR: -…

DGX agent

How can you improve your agentic search pipeline? I just wrote a blog post with @tech_optimist from @lancedb to answer exactly that. TLDR: - Parse files and take page-level screenshots with LiteParse,

model-releasesjerry-liu--x

7 Apr 2026

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DGX agent

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Agents

introducing momo, the CRM for AI agents. it gives agents its own CRM, like Salseforce/Hubspot for humans. every AI native company will need …

DGX agent

introducing momo, the CRM for AI agents. it gives agents its own CRM, like Salseforce/Hubspot for humans. every AI native company will need dev agents, sales agents, customer support agents, HR, legal

agentsyohei-nakajima--x

7 Apr 2026

Model Releases

Join the ARC Prize team -- help us build ARC-AGI-4 and ARC-AGI-5

DGX agent

Join the ARC Prize team -- help us build ARC-AGI-4 and ARC-AGI-5 Platform Engineer - Benchmark Lead ARC Prize Foundation is hiring a senior engineer to build our benchmark platform * Expand ARC-AGI-3

model-releasesfrancois-chollet--x

7 Apr 2026

Agents

Ok @cognition SWE-1.6 Fast is better than expected. Had it built a quick prototype UI, looks better than what Figma Make generated and is ri…

DGX agent

A user on X (@willebrew) shared positive impressions of Cognition's SWE-1.6 Fast model, noting that a prototype UI it generated surpassed the output of Figma Make. SWE-1.6 is Cognition's latest mo...

agentscognition-ai--x

7 Apr 2026

Agents

Or try SWE-1.6 in Windsurf today: https://windsurf.com/

DGX agent

Cognition released SWE-1.6, their latest software engineering model optimized for both intelligence and 'model UX,' now generally available in the Windsurf IDE. It is free for the next three month...

agentscognition-ai--x

7 Apr 2026

Model Releases

This is a great tutorial (credits @itsclelia + @lancedb) on how to build a practical retrieval pipeline that integrates directly with your a…

DGX agent

This is a great tutorial (credits @itsclelia + @lancedb) on how to build a practical retrieval pipeline that integrates directly with your agent harness. 1. Ingest a massive pile of docs with litepars

model-releasesjerry-liu--x

7 Apr 2026

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