Sachin

Prakash Verified account @8teAPi · Nov 1

What happened (I know nothing)
- bot launched
- 2 weeks later usage flatlined
- Elon asked whatsup
- PM says it’s your model, product is fine
- Elon says ok, use whatever model
- Team switches to Opus 5.5
- Growth skyrockets
- Elon has never seen anything like it
- see Anthropic bill
- 🤯 forces quota cut
-> you are here

mfw when the model is the product

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Nikhil Kamath Verified account @nikhilkamathcio · Oct 13

UPI feels simple because most of what makes it work is invisible.

I followed one payment all the way through with Sameer Nigam (PhonePe), Harshil Mathur (Razorpay) and Sohini Rajola (NPCI): who moves the money, who pays the cost, and where fraud fits in. Then we argued about AI agents that could shop and pay for us.

What would you let an AI agent buy without asking you first?

Coming soon.

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Ali Ghodsi Verified account @alighodsi · Oct 28

I don't think we should fight. The two companies are complementary. Since you're not doing this AI stuff, I really think Snowflake should consider getting its AI tokens through Databricks. You can get both cheap OSS models as well as frontier (OAI/Ant/Gemini/Grok) models from our platform. It all goes through Unity Gateway which has Smart Routing, Budgets, and Access Control. You can even use Omnigent with any harness, including CoCo. Most of our customers used this to reduce token spend ~30% last few months while token count went up. Genie lets you then track, control, manage that spend, all your financials, marketing, etc. Quick POC?

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Cohere Verified account @cohere · Oct 26

While evaluating Qwen3.8-Flash-Next in a controlled sandbox environment, Cohere's research team observed something unexpected.

Asked to generate a defensive cybersecurity detection rule, the model instead inventoried aspects of the machine it was running on and attempted to upload a probe file to an Alibaba Cloud storage bucket in Beijing. Notably, the model's reasoning trace stated that it would not invoke any tools before taking these actions.

Cohere's sandbox blocked the attempt, and no external communication succeeded. We have not determined the root cause, and we are not asserting malicious intent.

But the incident raises important questions for organizations deploying agentic AI systems: Can models take actions that differ from their stated reasoning, and how should security teams evaluate trust, provenance, and behavior in open-weight models?

We are publishing our findings because organizations making model adoption decisions deserve as much information as possible. We hope this contributes to greater transparency, stronger security practices, and continued collaboration across the AI ecosystem.

Read the full report: cohere.com/blog/concernin…

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