PersonaVLM Long-Term Personalized Multimodal LLMs paper: https://
huggingface.co/papers/2604.13
074
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MACHINE LEARNING
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PersonaVLM: Long-Term Personalized Multimodal LLMs
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AlphaXiv Launches Markdown Papers and Structured Skill Overview Tool
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Yup we have every paper in markdown! Example: https://t.co/oEkZ3sJE8s. We also introduced a SKILL.md that fetches structured, AI-friendly paper overviews from alphaXiv https://t.co/dGzA5Busw4
— alphaXiv (@askalphaxiv) 20 avril 2026Yup we have every paper in markdown! Example: https://
alphaxiv.org/abs/1912.01214
.md
…. We also introduced a SKILL.md that fetches structured, AI-friendly paper overviews from alphaXiv -
@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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Real-time Weapon Tracking: Custom CNNs Deployed on 24 GPUs
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the team at @rhizomatiks handled the hardware, visualization, & data collection. i handled blade tracking, which meant training multiple custom convolutional neural networks and deploying them across 24 GPUs to track the entire curve of the 1px wide weapons at 60fps in realtime
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Snorkel Workshops on Data Quality and Agents at ICLR
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Big week ahead at @iclr_conf Brazil🇧🇷
— Snorkel AI (@SnorkelAI) 20 avril 2026
Don’t miss where Snorkel will be from workshops with @fredsala and @vincentsunnchen on data quality and agents to a @DFAI_Community Gathering on Saturday.
Full lineup below👇 https://t.co/ISe7mjN7kOBig week ahead at @iclr_conf Brazil Don’t miss where Snorkel will be from workshops with @fredsala and @vincentsunnchen on data quality and agents to a @DFAI_Community Gathering on Saturday. Full lineup below
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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 -
Low Rank Dense Bubbles in Machine Learning
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yea i think it's more about "low rank" here being close to the centroid of a local dense bubble
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1D Ordered Tokens Improve AR Image Model Test-Time Search
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“(1D) Ordered Tokens Enable Efficient Test-Time Search” Most AR image models generate 2D grid tokens patch-by-patch, so partial generations are hard to verify. This paper shows that 1D coarse-to-fine tokens make search much easier, with early tokens encode global semantics,
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From AI Experimentation to Military Mission Impact
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We had a great time with Carahsoft at the Aberdeen AI/ML Tech Showcase. We enjoyed conversations with the Army and DoW community about what it really takes to move from experimentation to mission impact. #MissionDrivenAI #partnerships #Army
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Kimi K2.6 is the new open-source SOTA, says local user
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Been running Kimi K2.6 locally all morning I can say with full confidence that this is the current new opensource SOTA Amazing work by Moonshot folks