🤩 Karpathy reframes education in the AGI era

“Pre-AGI education is useful. Post-AGI education is fun.”

For most of history, learning was tied to survival. You study to work. You work to live.

AGI breaks that link.

Karpathy compares it to physical strength. We no longer need it to survive, yet people still go to the gym. Not out of necessity, but by choice.

Same idea for the mind.

If AI takes over analysis and knowledge work, people won’t stop learning. The reason just changes. From earning to interest.

Curiosity doesn’t disappear when pressure is gone. It becomes the main driver.

📊 @tech

👾 Codex adds Chronicle to record and learn from user actions

OpenAI introduced Chronicle, a feature that records your screen and uses it as context for Codex. It helps the system understand tasks faster and choose the right tools.

Chronicle analyzes user actions and stores them in memory to improve future interactions.

The feature is available to ChatGPT Pro users on macOS, excluding the EU, UK, and Switzerland.

📊 @tech

😒 Unreleased Claude Mythos accessed by guessing API endpoint

Bloomberg reports a small Discord group gained access to Anthropic’s Mythos model without authorization. They inferred the API naming pattern from a recent Mercor leak and guessed the endpoint.

One participant also obtained a valid contractor account, which allowed them to use the model without hacking. Access started the same day Anthropic announced Project Glasswing and lasted about two weeks.

Users reportedly tested the model in normal workflows without unusual activity.

📊 @tech

🤖 OpenAI launches always-on agents with workspace integrations

OpenAI introduced agents that run continuously and connect to the tools users work in. The system keeps context and can act across tasks without repeated prompts.

Agents integrate with workflows, observe actions, and use connected tools to complete tasks. The model shifts from chat responses to execution inside apps.

📊 @tech

🤖 GPT-5.5 “Spud” launches with focus on long agent tasks

OpenAI released GPT-5.5, also called Spud, with upgrades in agent coding and tool use. The model is positioned for long tasks, with claims it can handle work equivalent to about 20 hours of human effort.

On SWE Pro it scores 58.6%, below Opus 4.7 at 64.3%. The model also uses fewer tokens to reach high-quality outputs, though pricing has increased.

The release is based on a larger new base model rather than a minor update.

📊 @tech

🔍 Google unveils TPU 8t and 8i, splits chips for training and inference

Google introduced TPU 8t for training and TPU 8i for inference and reasoning. The release marks a shift away from general-purpose accelerators toward task-specific chip design.

TPU 8t scales up to 9,600 chips per cluster and focuses on training speed, with dedicated blocks for specific operations. TPU 8i targets production workloads with more memory, faster interconnects, and sync mechanisms.

Google claims up to 2.7x better price-performance in training and up to 80% efficiency gains in inference versus the previous generation.

📊 @tech

🎮 Sony AI’s robot Ace beats top table tennis players

Sony AI published a Nature paper on Ace, a table tennis robot that now wins against elite players. In April 2025 it won about half of matches. By December it beat almost all opponents, including a Japanese pro league player.

Ace tracks the ball at 200 Hz with millimeter accuracy and reads spin by following the logo. End-to-end latency is 20.2 ms, around 11x faster than human reaction at ~230 ms. Balls can reach 150 km/h, so each return is computed in milliseconds.

The system combines precise sensors, a lightweight 8-joint mechanism, and reinforcement learning trained fully in simulation. Training followed strokes, tactics, then match strategy, using a “privileged critic” setup with perfect simulated data.

Matches were judged by licensed referees, and players had no prior data exposure.

A real-world version of move 37 has arrived.

📊 @tech