Guna Sekhar Venkata Chennaiah Chakka @codevlogger

Claude went down at 2:30 PM IST. I was mid-session on Desktop — context blew past 200k and just kept going. Hit 275.8k. Bar said 100%. Still typing, still getting responses. Outage hits and the guardrails nap too. Wild Tuesday. 😅 @claudeai @ClaudeDevs @bcherny

0 0 0 319 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

a week ago

@Pseudo_Sid26 @rohit4verse continuation:- truth gets matched in those n runs. Then inspect why the failed runs trajectories pick differently based on passed trajectories. Most of the time agents works on things based on how main prompt gets structured. Let me know your thoughts?

0 0 1 5 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

a week ago

@Pseudo_Sid26 @rohit4verse Most importantly the model versioning. If v1 runs on x model with a y prompt then in reliability if gets passed push to prod. But if you try with x_1 model with same prompt trajectories changed. Most imp everytime I see out n runs of same input to system, how many times ground

1 0 1 36 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

2 weeks ago

@akshen121 Hey already dm'ed the approach i followed! Let me know your thoughts on it

0 0 0 5 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

2 weeks ago

@paraschopra Hey, have you observed any bias or bypass in the experiments because of the explicit mention of the word "think hard" in voila.md?

0 0 0 14 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

2 weeks ago

@ramsri_goutham I'm in vijayawada

1 0 1 50 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

2 weeks ago

@gabson0x hey can we use this repo to find xss vulnerabilites?

1 0 0 26 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

2 weeks ago

Celebrating 50 days @MatiksHQ streak along with my bday !

0 2 3 586 1

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

3 weeks ago

@original_ngv @sweetchiligurl I just raise my doubt based on my guess but not to dox etc stuff.

0 0 1 11 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

3 weeks ago

@original_ngv @sweetchiligurl I think the guy working as intern right? Does the person name was shritij reddy ramidi?

1 0 0 58 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

3 weeks ago

@original_ngv Bro, i think it's because of brain doesn't stop thinking on problems does your position needs

0 0 0 19 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

4 weeks ago

@deliprao @grok cna you simply the authors info with an numerical example !

1 0 0 13 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

4 weeks ago

My father received a token of honour from @cubltd for "Rajyalaxmi Agencies" in recognition of being a trusted banking partner since 2007! @kamakodi n

0 0 1 79 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

a month ago

@anirudhbv_ce @JamesNguyen868 @OpenAI @GeminiApp @sentra_app Hey, does the work make sense? Also have you observed the same phenomenon by taking the least possible dimension from open ai text 3 large which supports matryoshka property

0 0 1 21 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

a month ago

@anirudhbv_ce @JamesNguyen868 @OpenAI @GeminiApp @sentra_app i dunno whether its correct or not. Here is the link:- docs.google.com/document/d/1Cp…

1 0 1 158 0

View Details

Guna Sekhar Venkata Chennaiah Chakka @codevlogger

a month ago

@anirudhbv_ce @JamesNguyen868 @OpenAI @GeminiApp @sentra_app hey what happens if we take lowest possible dimension that supports matryoshka property? i mean eariler i tried to made some analysis on "does utilising the cumulative percentage of embedding model input tokens matters for the granular retreival or not"