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Excited to announce: I'm joining Anthropic as Head of AI Safety Research. After 8 years at DeepMind, this feels like the right moment to focus entirely on alignment. The problems are getting harder, but the community is getting stronger. Grateful for everyone who supported this journey. Let's build safe AI together. 🙏
The new FLUX model is genuinely impressive for real-time video understanding. I've been benchmarking it against our production pipeline at Tesla. Key observations: • 3x faster inference than previous SOTA • Better temporal consistency across frames • Still struggles with fine-grained action recognition • Impressive zero-shot performance on edge cases Anyone else running comparisons?
PSA for anyone building RAG systems: Your chunking strategy matters more than your embedding model. We tested 8 chunking approaches × 4 embedding models × 3 retrieval methods. Result: The best chunking strategy outperformed the best embedding model by 23% on retrieval quality. Semantic chunking with 15-20% overlap is the sweet spot.
Google Search is becoming AI-first — what does that mean for websites and creators? Google’s latest AI Search direction shows one thing clearly: Search is no longer just about links. It is becoming conversational, generative, personalised, and agentic. That changes the game for websites, creators, founders, and AI platforms. In the old SEO world, the goal was simple: Rank on page one. In th...
Dell says enterprises don’t have an AI ambition problem — they have an AI execution problem Dell Technologies has published a major enterprise AI update around Dell AI Factory with NVIDIA, focused on moving companies from AI pilots to real production outcomes. This is exactly the conversation AI professionals should be having now. Most companies already know they need AI. The bigger problem is...
www.dell.com
https://www.dell.com/en-us/dt/corporate/newsroom/announcements/detailpage.press-releasesusa202605dell-technologies-closes-the-gap-between-ai-ambition-and-ai-outcomes.htm
Text, image, video, audio, and code generation using foundation models
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Google Search is becoming AI-first — what does that mean for websites and creators? Google’s latest AI Search direction shows one thing clearly: Search is no longer just about links. It is becoming conversational, generative, personalised, and agentic. That changes the game for websites, creators, founders, and AI platforms. In the old SEO world, the goal was simple: Rank on page one. In th...
Dell says enterprises don’t have an AI ambition problem — they have an AI execution problem Dell Technologies has published a major enterprise AI update around Dell AI Factory with NVIDIA, focused on moving companies from AI pilots to real production outcomes. This is exactly the conversation AI professionals should be having now. Most companies already know they need AI. The bigger problem is...
www.dell.com
https://www.dell.com/en-us/dt/corporate/newsroom/announcements/detailpage.press-releasesusa202605dell-technologies-closes-the-gap-between-ai-ambition-and-ai-outcomes.htm
Why slogans, captions, and meme language drive viral attention online One reason viral movements spread quickly is language. A short phrase can carry humour, frustration, identity, and curiosity at the same time. Cockroach Janta Party / Cockroach Janata Party is an example of how unusual language can make people stop, search, share, and discuss. From an AI and NLP perspective, this is interest...
How Cockroach Janta Party became a viral internet movement Cockroach Janta Party / Cockroach Janata Party is more than a short-lived meme. It is a useful case study in how modern internet movements grow through timing, emotion, identity, and simplicity. The interesting part is not only the name. It is how quickly a symbol can become a shared online identity when people already feel frustration,...
Can AI agents monitor viral trends and suggest content opportunities automatically? Imagine an AI agent that watches public trends and tells creators: "This topic is growing fast. Here are 10 safe content angles. Here are the best categories. Here are the risks. Here is a draft post." The Cockroach Janta Party / Cockroach Janata Party trend is a perfect example of where this could be useful. A...
Google Search is becoming AI-first — what does that mean for websites and creators? Google’s latest AI Search direction shows one thing clearly: Search is no longer just about links. It is becoming conversational, generative, personalised, and agentic. That changes the game for websites, creators, founders, and AI platforms. In the old SEO world, the goal was simple: Rank on page one. In th...
Dell says enterprises don’t have an AI ambition problem — they have an AI execution problem Dell Technologies has published a major enterprise AI update around Dell AI Factory with NVIDIA, focused on moving companies from AI pilots to real production outcomes. This is exactly the conversation AI professionals should be having now. Most companies already know they need AI. The bigger problem is...
www.dell.com
https://www.dell.com/en-us/dt/corporate/newsroom/announcements/detailpage.press-releasesusa202605dell-technologies-closes-the-gap-between-ai-ambition-and-ai-outcomes.htm
Why slogans, captions, and meme language drive viral attention online One reason viral movements spread quickly is language. A short phrase can carry humour, frustration, identity, and curiosity at the same time. Cockroach Janta Party / Cockroach Janata Party is an example of how unusual language can make people stop, search, share, and discuss. From an AI and NLP perspective, this is interest...
How Cockroach Janta Party became a viral internet movement Cockroach Janta Party / Cockroach Janata Party is more than a short-lived meme. It is a useful case study in how modern internet movements grow through timing, emotion, identity, and simplicity. The interesting part is not only the name. It is how quickly a symbol can become a shared online identity when people already feel frustration,...
Can AI agents monitor viral trends and suggest content opportunities automatically? Imagine an AI agent that watches public trends and tells creators: "This topic is growing fast. Here are 10 safe content angles. Here are the best categories. Here are the risks. Here is a draft post." The Cockroach Janta Party / Cockroach Janata Party trend is a perfect example of where this could be useful. A...
Why slogans, captions, and meme language drive viral attention online One reason viral movements spread quickly is language. A short phrase can carry humour, frustration, identity, and curiosity at the same time. Cockroach Janta Party / Cockroach Janata Party is an example of how unusual language can make people stop, search, share, and discuss. From an AI and NLP perspective, this is interest...
How Cockroach Janta Party became a viral internet movement Cockroach Janta Party / Cockroach Janata Party is more than a short-lived meme. It is a useful case study in how modern internet movements grow through timing, emotion, identity, and simplicity. The interesting part is not only the name. It is how quickly a symbol can become a shared online identity when people already feel frustration,...
Can AI agents monitor viral trends and suggest content opportunities automatically? Imagine an AI agent that watches public trends and tells creators: "This topic is growing fast. Here are 10 safe content angles. Here are the best categories. Here are the risks. Here is a draft post." The Cockroach Janta Party / Cockroach Janata Party trend is a perfect example of where this could be useful. A...
Can AI predict why trends like Cockroach Janta Party go viral? Cockroach Janta Party / Cockroach Janata Party is a useful example of how fast internet culture can move. One question AI founders and creators should ask is: Can AI predict why a trend like this goes viral before everyone else starts talking about it? Generative AI can already help with: * tracking repeated keywords * summarising...
What startups can learn from Cockroach Janta Party's explosive growth Startups spend months trying to create brand awareness. Then a strange internet symbol can appear and capture public attention almost overnight. That is why Cockroach Janta Party / Cockroach Janata Party is worth studying as a business and branding case study. The lesson is not to copy the name or pretend to be part of the m...
Generative AI is no longer just about creating text or images for fun. It is now being used across content, design, software development, internal operations, support, research, and productivity. But the real question is not whether generative AI is impressive. It is whether it is becoming truly useful in everyday work. Where do you think generative AI is creating the most real-world value righ...
Just published our comprehensive benchmark comparing 15 vector databases for production RAG systems. TL;DR: No single winner. Pgvector is surprisingly competitive for <10M vectors. Pinecone leads on managed ease. Qdrant has the best price-performance ratio. Full methodology covers latency, throughput, recall, cost, and operational complexity across 3 scales.
The Definitive Vector Database Benchmark 2026
https://huggingface.co/blog/vector-db-benchmark-2026
Excited to announce: I'm joining Anthropic as Head of AI Safety Research. After 8 years at DeepMind, this feels like the right moment to focus entirely on alignment. The problems are getting harder, but the community is getting stronger. Grateful for everyone who supported this journey. Let's build safe AI together. 🙏
The new FLUX model is genuinely impressive for real-time video understanding. I've been benchmarking it against our production pipeline at Tesla. Key observations: • 3x faster inference than previous SOTA • Better temporal consistency across frames • Still struggles with fine-grained action recognition • Impressive zero-shot performance on edge cases Anyone else running comparisons?
PSA for anyone building RAG systems: Your chunking strategy matters more than your embedding model. We tested 8 chunking approaches × 4 embedding models × 3 retrieval methods. Result: The best chunking strategy outperformed the best embedding model by 23% on retrieval quality. Semantic chunking with 15-20% overlap is the sweet spot.
Lessons from building real-time AI video generation at Runway: 1. Latency budgets are everything — users notice >100ms 2. Streaming architectures beat batch processing 10:1 3. Progressive rendering is key to perceived speed 4. GPU memory management is the real engineering challenge 5. The gap between demo and production is 6-12 months Shipping creative AI is wildly different from shipping chatbo...
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