Eiso Kant

Person ● Covered in 1 story Compare ⇄ + Follow

Founded Poolside AI

This profile is built automatically from TLDRocket coverage.

Signals

1 story (new)

Media momentum

As of 3 Aug 2026 · Visible stories in the last 30 days, compared with the 30 days before.

1 source

Source diversity

As of 3 Aug 2026 · Distinct publications behind this entity's visible coverage.

Jul 2026

Coverage span

As of 3 Aug 2026 · First to most recent month of TLDRocket coverage of this entity.

Latest developments

Inside the Model Factory — Eiso Kant, Poolside AI Latent Space · 1 week ago · 3

Timeline

Month Quarter Year

July 2026

Poolside AI releases Laguna S 2.1, an open-weight 118B-parameter coding model with sparse mixture-of-experts architecture Open source release

23 Jul Inside the Model Factory — Eiso Kant, Poolside AI

Relationships

People

Poolside AI founded by this person · 1 source

The daily briefing

Every AI story that matters,
in your inbox by 8am.

TLDRocket reads 60+ sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.

TLDRocket 3 August 2026

The story of AI in August 2026 is one of consolidation meeting enforcement. Alibaba's Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model with a million-token context window, arrives as a direct challenge to OpenAI and Anthropic's frontier offerings—priced at $2 per million input tokens, it's positioning itself as the capable-and-cheaper alternative that China's AI push has long promised. But the more consequential development is structural: enterprises are finally getting the plumbing to actually deploy these models. June, backed by Salesforce's Marc Benioff, raised $20 million to automate AI integration into legacy systems, scanning corporate infrastructure and generating deployment workflows without expensive consultant fees. This solves what's become clear as the real bottleneck—not model capability, but implementation friction in messy, heterogeneous corporate environments.

Read the full briefing →