Local is the future of AI because it’s free, safer & faster. It’s also the best way to mitigate current and future compute shortages and distribute control & power! Local AI is having its moment and we’re here for it! The blogpost with all the weights and best ways to use is
AI
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Google DeepMind Launches Gemma 4 Large Language Model
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Let's go https://
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OpenAI Solves Three Historic Erdős Mathematical Problems
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OpenAI for helping resolve longstanding open mathematical problems, with short elegant proofs. Feels like we are on the edge of a new age of scientific discovery. Mehtaab Sawhney (@mehtaab_sawhney) We are excited to share a new paper solving three further problems due to Erdős; in each case the solution was found by an internal model at OpenAI. Each proof is short and elegant, and the paper is available here: arxiv.org/pdf/2603.29961 — https://nitter.net/mehtaab_sawhney/status/2039161544144310453#m [Translated from EN to English]
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Adversarial Training: A Key Use Case in AI Development
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A perfect use case of adversarial training.
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ChatGPT Voice Mode Now Available on Apple CarPlay
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ChatGPT is now available in CarPlay. The voice mode you know, now available on-the-go. Rolling out to iPhone users running iOS 26.4+ where CarPlay is supported. Gui Ferreira (@gsferreira) ChatGPT voice mode should be available on Apple CarPlay — https://nitter.net/gsferreira/status/1965442700204982596#m
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Google Releases Gemma 4 Open Foundation Models with Advanced Reasoning
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Today we're releasing Gemma 4, our new family of open foundation models, built on the same research and technology as our Gemini 3 series. These models set a new standard for open intelligence, offering SOTA reasoning capabilities from edge-scale (2B and 4B w/ vision/audio) up to a 26B parameter MoE model and a 31B dense model. By releasing Gemma 4 under the Apache 2.0 license, we hope to enable more innovation across the research and developer communities. Our earlier Gemma 3 models were downloaded 400M times and over 100,000 variants of those models have been published, so we're excited to see what the community will do with the even better Gemma 4 models! Learn more at blog.google/innovation-and-a… and goo.gle/gemma-4-apache-2 Great work by everyone involved! #Gemma4 #AI #OpenSource #ML
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AI Errors and the Importance of Human Oversight in Systems
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What Happens When #AI Gets It Wrong: Human Oversight In AI-Driven Systems
by Dr. Jeremy Nunn @Forbes Learn more: https://
bit.ly/411i1De #MachineLearning #ArtificialIntelligence #ML #MI -
ElevenLabs Partners with Slack to Add Voice to SlackBot
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We're partnering with Slack to give SlackBot a voice. Powered by ElevenAgents, teams can now automate workflows, generate natural-sounding audio, and interact with information more intuitively, all within Slack. Slack (@SlackHQ) Your AI investment is only as good as its access. ⚡️ We’ve turned Slackbot into the orchestrator for your entire enterprise. Agentforce agents? Connected. 🤖 6,000+ AppExchange tools? Integrated. 🛠️ Productivity? Unlocked. 🔓 Trusted data, apps, and agents, all in one conversation. — https://nitter.net/SlackHQ/status/2039049928228401193#m
→ View original post on X — @elevenlabs, 2026-04-02 16:52 UTC
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Installing and Running Llama.cpp with Gemma Model
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Just do this: brew install llama.cpp –HEAD Then; llama-server -hf ggml-org/gemma-4-26B-A4B-it-GGUF:Q4_K_M
