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Two stories dropped this week that share the same quiet message: the infrastructure layer is becoming the moat.

Prime Intellect didn't just ship an inference platform. They proved that owning your stack, from GPU to API, changes what's possible. 600B tokens daily, near-zero tool-call errors. That's not a demo.

Meanwhile, Meta's Muse Spark co-authored six math papers solving open research problems, through a regular chat window. No custom scaffold. The frontier is moving faster than the tooling.

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Today's Author

Lior Alexander. Founder of AlphaSignal and former ML Engineer. Previously built ML systems at Iguazio, Guesty, Enphase, Mila.

Summary

Read time: 6 min 27 sec

Top Repo

▸ New open-source tool turns any photo into a full 3D world in five minutes

Redis

▸ Redis Agent Memory hits 86.5% accuracy.

Top Repo

▸ Open-source tool lets Claude agents code your repos inside Minecraft

Google Cloud

▸ Google Cloud at GTC Berlin

Top Model

▸ Aleph Alpha open-sources 78B model with only 3.5B active params and 1M token context

Signals

1. This writing standard cuts AI agent output slop in the terminal

2. New MCMC trick makes supervised finetuning generalize better than reinforcement learning

3. Wavestone tears apart 11 coding agents and finds the same 7-part blueprint

4. New RL training trick cuts decoding compute 2.5x by trusting the critic

5. Cua ships free source-available tool letting AI agents run real desktop apps on your Mac

Top Repo

New open-source tool turns any photo into a full 3D world in five minutes

18,827 Likes

image-blaster just dropped on GitHub and it does exactly what it sounds like: drop in one photo, get back a full 3D world.

Here is what comes out the other side:

Explorable 3D environment with real depth and geometry you can navigate
Individual object meshes with physics colliders, exported as .glb or .obj files
Ambient sound and object-specific sound effects, auto-generated
Works directly in Unity, Unreal, Godot, Blender, and Three.js

Under the hood, it runs as a Claude Code skill, meaning Claude acts as the agent that coordinates everything. It picks which objects to make 3D, removes them from the background, renders them with Hunyuan 3D, and adds audio via ElevenLabs. All in under 5 minutes.

To try it: git clone the repo, drop an image into the input folder, give Claude your World Labs and FAL API keys, and ask it to blast. Each provider has free trial credits to start.

forward →

Presented by Redis

Redis Agent Memory hits 86.5% accuracy.

Building agents that need to remember across sessions? Redis Agent Memory combines raw conversation evidence with extracted facts, scoring 86.5% accuracy on LongMemEval at about $0.07 per session in modeled LLM costs.

Redis tested the approach across 500 questions covering preferences, changing facts, and reasoning across sessions.

See how the memory strategies compare, where retrieval succeeds or fails, and the accuracy, cost, and latency trade-offs before choosing your agent’s memory stack.

READ THE REPORT

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Top Repo

Open-source tool lets Claude agents code your repos inside Minecraft

11,718 Likes

AgentCraft turns your coding workflow into a Minecraft studio you can literally walk around in. Forget staring at a terminal. Your AI teammates exist as characters in a 3D world.

Here is how it flows. You type a goal. Marlow (the lead agent) breaks it into tasks. Worker agents then code in parallel, each in their own isolated copy of your repo so they never conflict. When an agent hits a decision only you should make, it physically walks over and asks you in-game.

The safety model is solid:

Nothing is ever pushed. Agents have zero git network access.
Risky commands trigger an in-game permission prompt showing exactly what gets allowed.
You review the real code diff inside the game, then hit merge.

To get started you need Minecraft Java Edition, Java 25, Node 22+, and a Claude API key. Point it at any existing repo and go. Fully open-source, MIT licensed.

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Presented by Google Cloud

Google Cloud at GTC Berlin

Agentic AI demands more than raw compute, it requires a fully optimized, flexible stack.

With our AI Hypercomputer architecture, we provide the scale, resilience and efficiency you need to turn your most ambitious AI visions into reality.

See multi-agent demos and explore sessions on Sovereign AI.

CONNECT AT GTC

partner with us →

Top Model

Aleph Alpha open-sources 78B model with only 3.5B active params and 1M token context

5,119 Likes

Aleph Alpha just dropped Kolibri-1, a European open-weight reasoning model you can run on your own hardware. The weights are yours under Apache 2.0, so no usage restrictions.

Here is what makes it interesting architecturally: it uses a Mixture-of-Experts design, meaning the model has 78B total parameters but only activates 3.46B per token. Think of it like a team of specialists where only the relevant ones show up for each task. You get big-model quality at small-model inference cost.

What you can actually build with it:

Process up to 1M tokens of context, great for large documents or long codebases
Agentic tool calling with reasoning mode at low, medium, or high effort levels
Strong German and English support, purpose-built for both languages
RAG pipelines, coding, and multi-step reasoning tasks

To run it, install the aleph-alpha-inference package and serve via vLLM. It exposes an OpenAI-compatible API, so you can drop it into existing setups. Minimum hardware is 2x A100 80GB or 1x H200.

forward →

Signals

This writing standard cuts AI agent output slop in the terminal

3,200 Likes

New MCMC trick makes supervised finetuning generalize better than reinforcement learning

2,132 Likes

Wavestone tears apart 11 coding agents and finds the same 7-part blueprint

1,331 Likes

New RL training trick cuts decoding compute 2.5x by trusting the critic

701 Likes

Cua ships free source-available tool letting AI agents run real desktop apps on your Mac

2,471 Likes

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🌍 image-blaster turns one photo into a 3D world in 5 min