PersonaVLM Long-Term Personalized Multimodal LLMs paper: https://
huggingface.co/papers/2604.13
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LLMS
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PersonaVLM: Long-Term Personalized Multimodal LLMs
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Fine-tuning LLMs with ethical principles for alignment
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Possible answer: "Huh! We never thought before of conjuring the spirits of Rogers, Kant, Stark and Ged into an LLM. We just finetuned on some text from them about honesty and that solved it permanently. Thanks for the modus ponens, Yud, it was a great modus tollens!"
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Persona Selection and AI Honesty: Why Alignment Remains Challenging
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If Persona Selection underlies alignment, why is it hard to get AIs to be honest? Tell them they're Fred Rogers or Immanuel Kant (I asked Claude for figures who never lied or never got caught). Or tell them they're Ged of Earthsea, or Ned Stark. LLMs surely have neural
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Google AI Pro subscribers gain increased limits and Nano Banana Pro access
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Calling all builders Google AI Pro and Ultra subscribers will now get increased usage limits and access to Nano Banana Pro and Gemini Pro models in @GoogleAIStudio — no API key required. Sign in with your subscriber account today to take your ideas from prototype to
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@testingcatalog — 2026-04-20
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If you build AI products and want to test the latest Moonshot model against other top models without changing your setup, this is where you start. Test it out
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@testingcatalog — 2026-04-20
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The latest Kimi K2.6 is now live day one on the AI/ML API. Added to the 400+ models available under one API key.
— 🚨 AI News | TestingCatalog (@testingcatalog) 20 avril 2026
AI/ML API operates as a model aggregation layer, and the platform's existing coverage includes models from OpenAI, Anthropic, Google, and dozens of smaller labs, all… https://t.co/U83hYUextl pic.twitter.com/n2TdRT1b0XThe latest Kimi K2.6 is now live day one on the AI/ML API. Added to the 400+ models available under one API key. AI/ML API operates as a model aggregation layer, and the platform's existing coverage includes models from OpenAI, Anthropic, Google, and dozens of smaller labs, all
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@testingcatalog — 2026-04-20
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Anthropic Amazon > Anthropic expands its compute power via a new partnership with Amazon to secure up to 5 gigawatts for training and deploying Claude > Amazon also invested additional $5 billion in Anthropic, with up to $20 billion more in the future. Compute is the
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Anthropic expands Amazon partnership securing 5 gigawatts compute Claude
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We're expanding our collaboration with Amazon to secure up to 5 gigawatts of compute for training and deploying Claude. Capacity begins coming online this quarter, with nearly 1 gigawatt expected by the end of 2026.
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Amazon Invests $5B in Anthropic with $20B Future Commitment
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Amazon is also investing an additional $5 billion in Anthropic today, with up to $20 billion more in the future. Read more:
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Multimodal LLMs Fail at Car Detection Task Compared to YOLO
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I tested Opus 4.7 on a simple car detection task.
— Satya Mallick (@LearnOpenCV) 20 avril 2026
→ Took 5 minutes
→ Missed multiple cars
→ Pointed at blank spaces
→ Bounding boxes were even worse
Codex did better (24 cars, accurate points) but still took 3 minutes.
YOLO does the same thing in 30ms.
Multimodal LLMs are… pic.twitter.com/DiHGsYpOG2I tested Opus 4.7 on a simple car detection task.
→ Took 5 minutes
→ Missed multiple cars
→ Pointed at blank spaces
→ Bounding boxes were even worse
Codex did better (24 cars, accurate points) but still took 3 minutes.
YOLO does the same thing in 30ms.
Multimodal LLMs are