Insight Partners’ Devin Parekh on why the firm is diversifying while everyone else bets the farm on OpenAI and Anthropic

Devin Parekh has co-run the heavyweight investment firm Insight Partners for 26 years. Unlike many VCs who are loud on X and seem to live on podcasts, Parekh and Insight Partners tend to lay low. In this sit-down with TechCrunch at its StrictlyVC event on Thursday night in New York, Parekh was refreshingly candid about…

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Hierarchical NeRF with JAX3D for Volumetric Rendering, Novel-View Synthesis, and 3D Reconstruction

@jax.jit def render_chunk(params, o, d, rng): _, out_f, aux = render_rays(params, o, d, rng, deterministic=True) return out_f.ray_values[“rgb”], out_f.ray_depth, out_f.ray_alpha, aux def render_image(params, origins, dirs, rng): “””Chunked full-image render with padding, so only one shape gets compiled.””” o = jnp.asarray(origins.reshape(-1, 3)); d = jnp.asarray(dirs.reshape(-1, 3)) R = o.shape[0]; rgb, dep, alp = [], [], [] for…

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A Princeton Researcher Proposes Recurrent Looped Transformer (RLT) that Carries Decoder State across Every Token, Fixing 96 Blocks per Token with Unbounded Temporal Depth

In most decoder-only LLMs, nothing computed at the last layer of token t feeds the first layer of token t+1; positions communicate only through attention over cached keys and values. A Princeton researcher’s (Yifan Zhang) technical report, Recurrent Looped Transformer (RLT), proposes closing that loop. The decoder’s final hidden state and its layerwise sliding-window attention…

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AWS Introduces Pizza Bot: An Open Source Inbox for Background AI Agents

AWS introduced Pizza Bot, as a self-hosted application for AI tasks that continue while users work elsewhere. It organizes completed results and pending decisions into an email-style inbox. Earlier versions served more than 2,000 people inside Amazon, supporting meeting preparation, email drafting, Slack summaries, CRM logging, and research. The public application was rebuilt as an…

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