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
LLMS
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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.
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Codex App Launches with GPT-5.5 and Advanced Features
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The Codex app, with all its new features! GPT-5.5, image gen 2, computer use… there's everything you need for some serious testing!
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Open-source K2.6 matches Claude benchmarks at 7x lower cost
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> you route every single task to Claude or GPTs
— Charly Wargnier (@DataChaz) 29 avril 2026
> overpaying for 85% of your daily work
> didn't realize open-source K2.6 matches Claude's benchmarks
> but costs 7x less for daily coding@eng_khairallah1 shows how the best devs run a multi-agent stack 🔥↓ https://t.co/x6eeAZPrHa pic.twitter.com/iHSsqzNL4Y> you route every single task to Claude or GPTs
> overpaying for 85% of your daily work
> didn't realize open-source K2.6 matches Claude's benchmarks
> but costs 7x less for daily coding @eng_khairallah1 shows how the best devs run a multi-agent stack ↓ -
Tokenizer: The Real Business Model Behind AI Models
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The model might be the product, but the tokenizer is the business plan
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1M Tokens Consumed Rapidly Processing Large Codebases
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1M tokens sounds enormous until you paste your codebase and watch it disappear.