Delegating work to AI corrupts 25% of your document in 20 edits. Researchers just tested if you can actually trust AI to edit your documents. The answer is messier than expected. A new benchmark called DELEGATE-52 ran 19 top models through 310 real work environments across 52
LLMS
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SenseNova U1 Skills: Image Generation, PPT, Excel Analysis
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SenseNova U1 Skills: The skills in the repo cover image generation & visualization, slide-deck (PPT) generation, Excel data analysis, and deep research You can plug these models directly into agent runtimes such as OpenClaw and hermes-agent. Check this out:
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SenseNova-U1 Model Weights and GitHub Repository Released
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Model Weights: https://
huggingface.co/collections/se
nsenova/sensenova-u1
… Github Repo: https://
github.com/OpenSenseNova/
SenseNova-U1
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SenseTime Releases SenseNova-U1 Unified Multimodal Model
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The first open-source end-to-end unified multimodal model! SenseTime just released SenseNova-U1 – a multimodal model that unifies understanding, reasoning, and generation in one continuous system. Most multimodal models either understand images OR generate images. They use
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Self Attention Mechanisms in Transformers and LLMs
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Improving Transformers with Self Attention Mechanism- this technique is at the heart of GPT and most LLMs. I would not imply that this issue is their biggest problem though. That said no one has to date managed to replace them with a viable alternative. Maybe that changes but
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Vector Databases Limitations in Multi-Hop Reasoning Tasks
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Vector DBs can't reason.
— Akshay 🚀 (@akshay_pachaar) 29 avril 2026
Top-k similarity ranks chunks one at a time against a query. That's fine for single-hop fact lookups, and it breaks the moment a question needs information stitched across multiple chunks.
That's what the FalkorDB GraphRAG-Bench results expose. The gap… https://t.co/hCv4cwP7Xk pic.twitter.com/utrYDQjFwZVector DBs can't reason. Top-k similarity ranks chunks one at a time against a query. That's fine for single-hop fact lookups, and it breaks the moment a question needs information stitched across multiple chunks. That's what the FalkorDB GraphRAG-Bench results expose. The gap
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Sovereign AI: Protecting Production Data from Public LLM Services
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"Either the data stays in your environment or it does not," says Sam Waes of Orange Business about sovereign AI. When employees query LLMs with production data, sensitive information can leak through public AI services. pic.twitter.com/B9sLCLROWl
— Lucian Fogoros (@fogoros) 29 avril 2026"Either the data stays in your environment or it does not," says Sam Waes of Orange Business about sovereign AI. When employees query LLMs with production data, sensitive information can leak through public AI services.
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Engramme Launches Large Memory Models, Replacing Traditional RAG
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RIP RAG.
— AI Highlight (@AIHighlight) 29 avril 2026
Engramme just launched Large Memory Models, a new AI architecture built from scratch for human memory.
No vector search. No prompting. Memories surface on their own across Gmail, Zoom, Slack, and Meta glasses. https://t.co/9fQCesTjByRIP RAG. Engramme just launched Large Memory Models, a new AI architecture built from scratch for human memory. No vector search. No prompting. Memories surface on their own across Gmail, Zoom, Slack, and Meta glasses.
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GPT-5.5 Pro Surpasses Previous Generation on Epoch Benchmark
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GPT-5.5 pro represents a significant leap in the Epoch benchmark. Even more exciting, however, is that GPT-5.5 (non-pro) surpasses GPT-5.4 pro.
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Xiami mimo-v2.5 pro MIT license surpasses Opus 4.5
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Xiami mimo-v2.5 pro MIT license surpasses Opus 4.5 on arena Amazing achievement.