Someone on Reddit asked 4 LLMs 100 times each: walk or drive to a car wash 100m away? Gemini 3.1 Pro said drive every time. Claude Opus 4.8 said walk every time.
GENERATIVE AI
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Writers and Artists Need a Way to Label AI Use
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Writers and Artists Need a Way to Label AI Use: Here’s What That Could Look Like
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @demishassabis @Ronald_vanLoon @TamaraMcCleary @geoffreyhinton @goodfellow_ian @jeffdean @erikbryn -
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.
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Self-Improving Language Models with Bidirectional Evolutionary Search
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Most LLM search still works by sampling more rollouts or extending one path at a time. This paper's bidirectional evolutionary search does it in a smarter way. It breaks the task backward into smaller
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LFM2.5-8B-A1B running as local Blender assistant demo
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LFM2.5-8B-A1B running as a Blender assistant locally. Beautiful demo! https://t.co/uTZB3zOgrn
— Maxime Labonne (@maximelabonne) 1 juin 2026LFM2.5-8B-A1B running as a Blender assistant locally. Beautiful demo!
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Ethan He discusses AI video’s codex phase and coding agent path
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🆕Grok Imagine’s Video Agent Moment: Cosmos, xAI, World Models, Generative UI, & the Codex Phase for Video https://t.co/UiTGJTIlPQ@EthanHe_42, former @xai world model lead and @nvidia Cosmos researcher, explains why AI video may follow the same path as coding agents, how Grok… pic.twitter.com/sCRaCpa10i
— Latent.Space (@latentspacepod) 1 juin 2026Grok Imagine’s Agent Moment: Cosmos, xAI, World Models, Generative UI, & the Codex Phase for https://
latent.space/p/xai @EthanHe_42
, former @xai world model lead and @nvidia Cosmos researcher, explains why AI video may follow the same path as coding agents, how Grok -
Ethan’s deep dive on xAI’s SOTA video world model training
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This pod was an incredible gift to the community:
— swyx (@swyx) 1 juin 2026
not only our first pod about @xAI, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA,… https://t.co/purQe9Ja81 pic.twitter.com/Sl4AqAt7RAThis pod was an incredible gift to the community: not only our first pod about @xAI
, but Ethan really indulged on all our questions on how to train a SOTA Videogen world model, including specific areas (consistent extending/editing, voice) that Grok @Imagine is *still* SOTA, -
Ask AI directly, provide context, and define success
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codex tip that sounds obvious but somehow isn't: if you want it to do something, just ask it if it keeps messing up the same thing, ask it to remember what to avoid next time tell it what good looks like and what context it should use you'd be surprised how often this works