So far in my tests gpt-5.4-mini matches the performance of my fine tuned gpt-4.1-mini, I'll keep trying to improve it, and it does look like it is better but not a slam dunk yet
LLMS
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NVIDIA GTC 2026: Breakthrough AI Chips and Vera Rubin Architecture
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NVIDIA's GTC 2026 conference has been phenomenal in terms of latest computer chips and AI stack announcements. Here are the key updates you need to know: 1. The $1 Trillion Demand Projection: NVIDIA CEO Jensen Huang raised demand projections for Blackwell and Vera Rubin systems to $1 trillion through 2027, driven by the explosive growth of AI inference. 2. Vera Rubin Architecture: The new platform features seven breakthrough chips, including the Vera CPU and Rubin GPU with HBM4 memory. It is designed as a vertically integrated "AI Factory" to handle agentic AI reasoning. 3. Groq3 LPX Inference Acceleration: Following a $20 billion deal, NVIDIA integrated Groq’s SRAM-based technology to create the Groq3 LPX rack. This system delivers up to 35x faster token generation for trillion-parameter models. 4. NemoClaw & OpenClaw: NVIDIA partnered with the viral open-source project OpenClaw to launch NemoClaw, a software stack described as the "operating system for personal AI". 5. Physical AI & Robotics: A highlight of the show was a robotic version of Olaf from Disney's Frozen, powered by NVIDIA’s Newton Physics Engine. NVIDIA also unveiled Alpamayo, an open-source "chain-of-thought" reasoning model for Level 4 autonomous driving. 6. Space Computing: NVIDIA announced Vera Rubin Space-1, a dedicated platform designed to bring AI data centres into orbit. 7. The "Feynman" Roadmap: A first look at the 2028 architecture, named Feynman, which will feature the Rosa CPU and next-generation liquid processing units (LPUs). 8. Gaming & DLSS 5: NVIDIA teased DLSS 5, which uses neural rendering to create photorealistic, real-time graphics that "look like a film". 9. Sovereign AI Factories: Broad partnerships with nations and enterprises (like IBM and Nestlé) were showcased to build regional "AI Factories" that keep data and intelligence within sovereign boundaries.
→ View original post on X — @avikumart_, 2026-03-17 22:40 UTC
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Transformers’ Relevance Declining From 100% to 70% in AI
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oh ok we are focusing on different things – yes hybrid with some full attention is impt. but yea like i said its gotten more mixed over time and lets call it “transformers is all you need” has gone from 100% relevant in 2022 to maybe like 70% now and i think almost every single
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Mistral AI Announces Forge for Enterprise Frontier AI Model Building
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Mistral AI announced Forge, a new system that enables enterprises to build frontier AI models grounded in their data.
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 mars 2026
Mistral is so good at naming 👌 https://t.co/1OhbogM0u6 pic.twitter.com/CTV2wgPIjqMistral AI announced Forge, a new system that enables enterprises to build frontier AI models grounded in their data. Mistral is so good at naming
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Google Announces AI-Powered ‘Vibe Design’ Updates for Stitch Platform
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Google plans to roll out a new "Vibe Design" experience on Stitch this Wednesday.
— 🚨 AI News | TestingCatalog (@testingcatalog) 17 mars 2026
Voice mode with selectable voices, a new canvas layout, a new "Hatter" agent, and a lot more are coming.
Stitching… 👀 https://t.co/dLin8ePH2m pic.twitter.com/AvmVx2iO61Google plans to roll out a new "Vibe Design" experience on Stitch this Wednesday. Voice mode with selectable voices, a new canvas layout, a new "Hatter" agent, and a lot more are coming. Stitching…
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Emerging AI Stack: Grok for Research, Claude for Building
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There’s an emerging default stack: Grok for research, Claude for building.
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New self-hosted AI agent tool for macOS
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It runs on macOS (Apple Silicon), self-hosts with your own Anthropic key, and every action outside its sandbox needs your explicit sign-off before it happens. Early testers can win a share of $3,000 in gift cards by providing feedback before the deadline. Download now at
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Mixed Results: Diffusion in Text, AR in Images, Hybrid Architectures
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honestly its gotten more mixed. diffusion in text, AR in images. hybrid archs everywhere (altho most researchers tell me the differences between SSM vs transformers not that material). not clear.
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Bullshit Benchmark: AI Evaluation Dataset and Viewer Tool
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Github: https://
github.com/petergpt/bulls
hit-benchmark
… Data viewer: https://
petergpt.github.io/bullshit-bench
mark/viewer/index.v2.html
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GPT-5.4 Mini and Nano Score Low on BullshitBench
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BullshitBench update: The new GPT-5.4 mini and nano models score quite low. This screenshot shows OpenAI models only, on the full list would put GPT-5.4-mini around 40th place and Nano is around 70th place. Again thinking didn't help much at all. https://t.co/EdwOBStKa4 pic.twitter.com/mxBGoFUzio
— Peter Gostev (@petergostev) 17 mars 2026BullshitBench update: The new GPT-5.4 mini and nano models score quite low. This screenshot shows OpenAI models only, on the full list would put GPT-5.4-mini around 40th place and Nano is around 70th place. Again thinking didn't help much at all.