And congrats to everyone who worked on the initial research for NeRF!
COMPUTING
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NVIDIA unveils Alpamayo 2 Super, its most powerful open AI for robotaxis
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🔥NVIDIA released its most powerful open AI model for robotaxis
— Amitav Bhattacharjee (@bamitav) 2 juin 2026
NVIDIA just unveiled its most advanced open-source driving AI yet: Alpamayo 2 Super. At 32 billion parameters, it’s three times larger than its predecessor and designed to handle the messy reality of real-world… pic.twitter.com/fuBDEymqu9NVIDIA released its most powerful open AI model for robotaxis NVIDIA just unveiled its most advanced open-source driving AI yet: Alpamayo 2 Super. At 32 billion parameters, it’s three times larger than its predecessor and designed to handle the messy reality of real-world
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NVIDIA’s AI PCs: Your future PC will be your teammate
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👁️ NVIDIA thinks Your next PC should have a coworker
— Amitav Bhattacharjee (@bamitav) 2 juin 2026
For decades, computers have been tools. #NVIDIA is betting they’re about to become teammates. The company just unveiled a new generation of AI-focused PCs powered by its RTX Spark platform, designed to run advanced AI agents… pic.twitter.com/EeH0kjCzkZNVIDIA thinks Your next PC should have a coworker For decades, computers have been tools. #NVIDIA is betting they’re about to become teammates. The company just unveiled a new generation of AI-focused PCs powered by its RTX Spark platform, designed to run advanced AI agents
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Optimizing Unified Memory with Speculative Decoding on Apple Hardware
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You’re optimizing the right things for Unified Memory There are some shortcomings to Speculative Decoding (especially in more creative / less coding workflows) but the pros far outweigh the cons giving the Unified Memory limitations Gonna try this on my Apple hardware tonight
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Abacus AI Supercomputer: Build Cloud Services & Host LLMs with a Single Prompt
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🚨 INTRODUCING THE ABACUS AI SUPERCOMPUTER
— Abacus.AI (@abacusai) 1 juin 2026
– literally build ANY cloud service with a prompt
– host open-source LLMs & always-on agents
– bring your own Codex, Claude or Anti-gravity
– multi-agent architectures with Opus 4.8 and GPT 5.5
– run 3D games or any other server at… pic.twitter.com/Rs8lA4G0vaINTRODUCING THE ABACUS AI SUPERCOMPUTER – Literally build ANY cloud service with a prompt
– Host open-source LLMs & always-on agents
– Bring your own Codex, Claude or Anti-gravity
– Multi-agent architectures with Opus 4.8 and GPT 5.5
– Run 3D games or any other server at -
Parallel experiment building coding agent on ActiveGraph AI with event log trace
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a parallel experiment building a coding agent on top of @activegraphai
. you can see everything flattened down to a single event log trace -
New Approach to Agent Skills: Paper, Repo, and Site
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Paper (arXiv):
https://arxiv.org/abs/2605.31264 (~25 min read)
Repo (GitHub, MIT):
https://github.com/titanwings/colleague-skill
… (~10 min setup)
Gallery and site:
https://titanwings.github.io/colleague-skill-site/
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Agent Skills standard:
https://agentskills.io -
GStack by Garry Tan goes viral, 100K stars on GitHub for dev cheat code
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100K GITHUB STARS IN JUST A FEW WEEKS @GarryTan
’s GStack has gone completely viral, and for good reason. The YC CEO open-sourced his personal toolkit, and it's the ultimate cheat code for devs. It turns Claude Code from a basic chatbot into an entire virtual engineering -
Perplexity AI achieves new cost-performance frontier, outperforming Anthropic
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It also sets a new cost-performance frontier. On DSQA it scores 0.871, ahead of Anthropic's 0.815, at nearly half the cost per task. On WideSearch it leads on score while running cheaper.
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Search as Code replaces tool-calling with async search primitives
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The traditional tool-calling approach suffers from high latency, manual control flow, and context pollution. With Search as Code, the model composes search primitives: fanning out queries asynchronously, deduping, filtering, joining, and ranking before results hits its context.