@amazonIN@amazon@AmitAgarwal@Chetankrishna
to save time using online portal, if need to step up for return then why to use amazon ?
also during placing orders for such item why amazon not showing such alert regarding return policy ?
@amazonIN@amazon@AmitAgarwal@Chetankrishna
Order number 402-2664683-1329155
Order number 402-2368886-3959525
product was not good,asked for return from amazon portal,no attempt for return
i called your CC team,they are saying you need to ship it to seller
why I need to do?
🔴 Threat Intelligence Alert: OpenMythos Just Released
The open-source community has received a theoretical PyTorch reconstruction of Anthropic’s speculated “Claude Mythos” architecture. Developed by @KyeGomezB, the repository kyegomez/OpenMythos implements a Recurrent-Depth Transformer (RDT) integrated with Mixture-of-Experts (MoE).
Technical Summary:
•Core Structure: Three stages — Prelude (initial transformer blocks), Recurrent Block (weight-shared block applied iteratively up to max_loop_iters in a single forward pass), and Coda (final processing stage).
•Key Mechanism: Weight-sharing + sparse conditional expert routing, enabling recursive effective depth without a linear increase in parameters.
•Central Hypothesis: Recursive application of the same parameterized block combined with sparse expert activation produces a superior efficiency × performance trade-off and enables emergent multi-step reasoning.
Cybersecurity Implications:
•Democratizes cutting-edge techniques for efficient scaling and deep reasoning capabilities.
•Significantly lowers computational barriers for building sophisticated large language models.
•Raises the risk of rapid proliferation for malicious use cases: advanced attack automation, polymorphic malware generation, large-scale influence operations, and automated red teaming by low-resource threat actors.
Repository: https://t.co/DARLPHbS6e
Security professionals: How do you evaluate the threat impact of democratizing these advanced AI architectures?
#ThreatIntelligence #AISecurity #OpenSourceAI #CyberSecurity #LLM
RAG vs. CAG, clearly explained!
RAG is great, but it has a major problem:
Every query hits the vector DB. Even for static information that hasn't changed in months.
This is expensive, slow, and unnecessary.
Cache-Augmented Generation (CAG) addresses this issue by enabling the model to "remember" static information directly in its key-value (KV) memory.
In fact, you can combine RAG and CAG for the best of both worlds.
Here's how it works:
RAG + CAG splits your knowledge into two layers:
↳ Static data (policies, documentation) gets cached once in the model's KV memory
↳ Dynamic data (recent updates, live documents) gets fetched via retrieval
This gives faster inference, lower costs, and less redundancy.
The trick is being selective about what you cache.
Only cache static, high-value knowledge that rarely changes. If you cache everything, you'll hit context limits. Separating "cold" (cacheable) and "hot" (retrievable) data keeps this system reliable.
You can start today. OpenAI and Anthropic already support prompt caching in their APIs.
I have shared my recent article on prompt caching below if you want to dive deeper.
👉 Over to you: Have you tried CAG in production yet?
@MyntraSupport
How many days it will take to deliver
Other orders being delivered and only for this your delivery partner is not able to contact
Please cancel and initiate return
Not able to do via app
Deepseek got called out for scraping 150k Claude messages. So I'm releasing 155k of my personal Claude Code messages with Opus 4.5.
I'm also open sourcing tooling to help you fetch your data, redact sensitive info & make it discoverable on HF - link below to liberate your data!
Kali & LLM: macOS with Claude Desktop GUI & Anthropic Sonnet LLM: This post will focus on an alternative method of using Kali Linux, moving beyond direct terminal command execution. Instead, we will leverage a Large Language Model (LLM) to translate… https://t.co/4FgYYCjePl
LLM inference without internet using Google's LiteRT
no ollama or lmstudio
just loading and running the AI model in the browser
https://t.co/LApdiP88lj
At IndiaMART, every innovation is designed around this belief, ensuring that millions of buyers and sellers transact safely and confidently every day.
Proud to be recognized among the Top 50 North-based companies at the Top 100 Cyber Security Awards 2025 by Alden Global. This one’s for our teams who make cybersecurity not just a system, but a mindset.
@DineshAgarwal@amarinderd@SunilParolia
#IndiaMART #cyber #cyberaward #award #cybersecurity #innovation #digitaltrust #techexcellence
@shoppersstop
Order ID - SB_1019412
Consignment ID- 1103523-1-1-sn_SB_1019412
it's been almost a month since I placed my order, but it's still not delivered.
I've contacted customer care multiple times, but no proper help.
Neither the order is delivered nor the refund processed