Tag: Reddit

Anthropic shipped Opus 4.6 and OpenAI shipped GPT-5.3-Codex on the same day, 27 minutes apart. Both claim benchmark leads. Both are right -- just on different benchmarks. Where each model leads Opus 4.6 tops reasoning tasks: Humanity's Last Exam (53.1%), GDPval-AA (144 Elo ahead of GPT-5.2), BrowseComp (84.0%). GPT-5.3-Codex takes coding: Terminal-Bench 2.0 at 75.1% vs Opus 4.6's 69.9%. The pricing spread is hard to ignore Model Input/M Output/M Gemini 3 Pro $2 $12.00 GPT-5.2 $1.75 $14.00 Opus 4.6 $5.00 $25.00 MiMo V2 Flash $0.10 $0.30 Opus 4.6 costs 2x Gemini on input. Open-source alternatives cost 50x less. At some point the benchmark gap has to justify the price gap -- and for many tasks it doesn't. 1M context is becoming table stakes Opus 4.6 adds 1M tokens (beta, 2x prici...

I ran a small real-world test today with two kids (ages 8 and 11) using a long-running AI story world I’ve been experimenting with. Instead of one-shot story generation, the system maintains a persistent world state where choices carry over and shape future events. I let them pick the setting — they chose a Minecraft × Harry Potter mashup where they play wizards trying to defeat the Ender Dragon. One thing that made a huge difference: I used their real names as the characters, and the story started in their actual school. The engine generated story text and illustrations each round. They made all the choices. After about 10 rounds, they were constantly laughing, debating which option to pick, and building on each other’s ideas. It felt much more like co-creating a world than listening to a...

submitted by /u/tekz [link] [comments]

Ran a real-world test this week: Gemma 3 12B vs paid frontier models across actual business workflows. The honest assessment? 90% of tasks: no meaningful difference. 5%: frontier models worth it (pay-per-use). 5%: neither quite there yet. This matches the data - open models are catching up fast. The article explores: - Why the "gasoline doesn't matter" - only if it powers your task - The shift from "one model to rule them all" to specialized local models - Why even AGI will eventually be open-sourced (historical precedent) - The water company future: infrastructure > model quality https://www.linkedin.com/posts/azizme_activity-7424774668034842624-v1-2?utm_source=share&utm_medium=member_desktop&rcm=ACoAACX_HOcBcpTEWJ3cXyVbVqKJsi39tDHJLFY Curious what others are seeing in their do...

submitted by /u/app1310 [link] [comments]

submitted by /u/ControlCAD [link] [comments]

Yann Lecun recently shared that a cat is smarter than ChatGPT and that we are never going to get to human-level intelligence by just training on text. My personal opinion is not only are they unreliable but it can be a safety issue as well in high-stakes environments like enterprises, healthcare and more. World models are fundamentally different. These AI systems build internal representations of how reality works, allowing them to understand cause and effect rather than just predict tokens. There has been a shift lately and major figures from Nvidia's CEO Jensen Huang to Demis Hassabis at Google DeepMind are talking more openly about world models. I believe we're still in the early stages of discovering how transformative this technology will be for reaching AGI. Research and application...

submitted by /u/esporx [link] [comments]

submitted by /u/sksarkpoes3 [link] [comments]