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Claude Fable creates city block simulator with multi-agent traffic in one shot

By

@bilawalsidhu

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10 June 2026 3h45

Just used claude fable (aka mythos) to create this city block simulator complete with multi-agent traffic, live detection boxes + tracks, and day to night cycle. And it just one shotted it. This is gonna be fun — the gap between idea and execution just keeps collapsing. pic.twitter.com/NqpeztzH84
— Bilawal Sidhu (@bilawalsidhu) 10 juin 2026

Just used claude fable (aka mythos) to create this city block simulator complete with multi-agent traffic, live detection boxes + tracks, and day to night cycle. And it just one shotted it. This is gonna be fun — the gap between idea and execution just keeps collapsing.

→ View original post on X — @bilawalsidhu

10 June 2026
Disappointment at Anthropic’s silent degradation of Fable 5

By

@askalphaxiv

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10 June 2026 2h25

As advocates of open research, we are disappointed to see Anthropic silently degrading Fable 5 for AI development. "Any topic related to building pre-training pipelines, distributed training infrastructure, or the design

→ View original post on X — @askalphaxiv

10 June 2026
AI Inference: RDUs, Memory, Parallelism for Token Generation

By

@sambanovaai

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10 June 2026 0h39

What actually happens during AI inference?

This video breaks down how RDUs, memory architecture, and multi-level parallelism work together to generate thousands of tokens in parallel across racks.

Built for scalable, real-world AI inference 🦾

Learn more:… pic.twitter.com/YUzEP9hBsr
— SambaNova (@SambaNovaAI) 9 juin 2026

What actually happens during AI inference? This video breaks down how RDUs, memory architecture, and multi-level parallelism work together to generate thousands of tokens in parallel across racks. Built for scalable, real-world AI inference Learn more:

→ View original post on X — @sambanovaai

10 June 2026
Convert a GX10 into a remote AI mini-server for API access

By

@dfintelligence

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09 June 2026 23h33

Update : je suis en train de convertir ce GX10 en mini-serveur IA distant pour pouvoir y accéder de partout, en mode API self-hosted / VPS / service managé.

Jai jamais fait ça, donc si certains ont des conseils, je suis preneur ?

Le but, ce serait de pouvoir faire tourner des… https://t.co/o7YRR72WHU
— Defend Intelligence (Anis Ayari) (@DFintelligence) 9 juin 2026

Update: I am converting this GX10 into a remote AI mini-server to access it from anywhere, in self-hosted API / VPS / managed service mode. I have never done this, so if anyone has advice, I'm interested? The goal would be to run

→ View original post on X — @dfintelligence

9 June 2026
FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention

By

@askalphaxiv

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09 June 2026 23h22

“FlashMemory-DeepSeek-V4: Lightning Index Ultra-Long Context via Lookahead Sparse Attention” With how Long context LLMs are being bottlenecked by KV cache, because every old token keeps consuming GPU memory even when most of it is irrelevant, this paper turns long context into

→ View original post on X — @askalphaxiv

9 June 2026
Need to Integrate VLAs and Models in Production Robotics

By

@ken_goldberg

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09 June 2026 23h08

It's not VLAs versus World Models; production robotics needs both, in addition to model-based methods, all integrated by agentic coding. At ICRA last week, I presented a perspective on the divisions in our field, including

→ View original post on X — @ken_goldberg

9 June 2026
VQAScore: open-source framework for evaluating text-video/image/3D models

By

@jeande_d

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09 June 2026 22h21

VQAScore, a simple framework for evaluating text-video/image/3d models is opensource and got many many features. Packaged with leading frontier and commonly used open-source multimodal models and simple/clean eval interface. https://t.co/8xy7SjGEqt pic.twitter.com/wrt6wBTQvQ
— Jean de Nyandwi (@Jeande_d) 9 juin 2026

VQAScore, a simple framework for evaluating text-video/image/3d models is opensource and got many many features. Packaged with leading frontier and commonly used open-source multimodal models and simple/clean eval interface.

→ View original post on X — @jeande_d

9 June 2026
The importance of self-verification loops in the era of powerful models

By

@bcherny

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09 June 2026 21h15

We talk a lot about how important it is to set up self-verification loops. Especially in the age of powerful models that can run for long periods of time, self-verification is a key ingredient that enables the model to run for much longer, delivering a result that is closer to… https://t.co/NHiral0F9j
— Boris Cherny (@bcherny) 9 juin 2026

We talk a lot about the importance of setting up self-verification loops. Especially in the era of powerful models that can operate for long periods, self-verification is a key ingredient that allows the model to function much more

→ View original post on X — @bcherny

9 June 2026
Mythos break expected progress line in System Card

By

@dotcsv

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09 June 2026 20h22

Returning to the System Card, here is one of my favorite graphs, and it shows how the Mythos category models break the expected line of progress. As always with AI, we reach higher levels ahead of time.

→ View original post on X — @dotcsv

9 June 2026
SambaNova shows disaggregated inference with up to 2x speed at Computex

By

@sambanovaai

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09 June 2026 20h05

Same prompt. Same model. Two stacks.

At #Computex, we demonstrated disaggregated inference live: GPUs handling prefill, SambaNova RDUs handling decode, and CPUs orchestrating agent execution.

The result? Up to 2X the speed of B200-only configurations 🦾 pic.twitter.com/YYP8o6WYrK
— SambaNova (@SambaNovaAI) 9 juin 2026

Same prompt. Same model. Two stacks. At #Computex, we demonstrated disaggregated inference live: GPUs handling prefill, SambaNova RDUs handling decode, and CPUs orchestrating agent execution. The result? Up to 2X the speed of B200-only configurations

→ View original post on X — @sambanovaai

9 June 2026

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