Pramath Haritz

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[François Chollet @fchollet]

GPT-6 Astra represents a step-function change in model capability for interactive reasoning problems. It scores 66% on ARC-AGI-3 using our standard harness, and nearly 100% with a continuous conversation harness and custom compaction, at a cost of roughly $360 per game.

In fact, the continuous harness version significantly outperforms our human baseline in action efficiency across almost all levels. When we examined the reasoning chains to understand how the model operates, we found it performing highly efficient, on-the-fly symbolic world modeling for each game and level. It goes as far as developing its own shorthand DSL to represent in-game situations -- essentially a game-specific algebraic notation.

Overall, Astra exhibits symbolic modeling behaviors we had previously only seen with sophisticated harnesses -- so harness capabilities are increasingly shifting into the model itself.

We see Astra as a major breakthrough in model intelligence.

Read our post on Astra and what these results mean: https://t.co/wJnYxEqYNI

[Lukas Kuhn @lukaskuhn77]

A new Pareto frontier in video pretraining.

Excited to introduce LeVJEPA 🔥: a stable, efficient end-to-end pretraining method that matches V-JEPA 2 at up to 20x less pretraining compute!

No target encoder, no masked prediction, no stop-gradient or teacher-student schedule.

One encoder, trained with a single objective. 🧵

[Chandra Sekhar Seelamantula @CSSeelamantula]

The ChaksuAI team from @SpectrumLabIISc making presentations and pitches at Healthcare AI Conclave 2026 in Bangalore. Pramath, Anirudh, Yash, and Akhil representing the team.

[Chandra Sekhar Seelamantula @CSSeelamantula]

Dr. Bhaskar Rajakumar, CEO of CHARAKA (https://t.co/8nKjr5NjNC), Karnataka’s Centre of Excellence for healthcare innovation visited our lab today. Spent a solid two hours discussing healthcare work in the lab. L to R: Yash, Pramath, Chandra, Bhaskar, Aditya, and Akhil.