kartik bhardwaj

AI engineer, building AI products,Agents, RAG, LLM apps and RLHF post training.

[kartik bhardwaj @kartikb753]

@DougChampion @PetreSolheim @shorttimelines offline sandbox is weaker than it sounds if the package manager can still pull deps. tool picking is the headline, supply chain is the bypass.

[kartik bhardwaj @kartikb753]

@Gummypooh89 without a cold reviewer the rubric grades its own draft. pass 2 fail rules mirror pass 1 choices, not new rejection cases.

[kartik bhardwaj @kartikb753]

@ChrisChomenko @signulll audit helps after the fact but doesnt cap blast radius. the missing piece is a hard gate before irreversible spend, not another log line.

[kartik bhardwaj @kartikb753]

@reizamkm averaging smooths noise but lags abrupt pivots. you can keep routing on stale chunk votes for several turns while the live objective already moved.

[kartik bhardwaj @kartikb753]

@Sonofpeace0001 @SophiaChen2003 @CreaoAI Yeah, the diff only works with exact tool args. A prose summary turns approval into theater, so I pin the preflight snapshot next to the trace. AI engineer, remote, I build agent harnesses and evals.

[kartik bhardwaj @kartikb753]

@stochasticchasm decoupled runtime helps until side effects leak across mini harnesses. isolation only holds if replay proves two runs never shared writable state outside the sandbox boundary.

[kartik bhardwaj @kartikb753]

@Kaushik009911 @JoshARosen enum rubrics only beat code until prod invents an edge case your labels never saw. then pass rate tracks rubric coverage, not whether the judge catches the new failure mode.

[kartik bhardwaj @kartikb753]

@VinodIyengar @omarsar0 ignored-vs-cited only holds if retrieval is frozen before the answer. once the agent can re-query mid turn you are scoring a second retrieve, not whether the first pass picked the right evidence.

[kartik bhardwaj @kartikb753]

@reizamkm Averaging keeps routing stable but the failure that matters is usually one bad turn, the mean can stay green while a single step already poisoned the run. I would track the min next to the mean. AI engineer working remotely, focused on agent harnesses and evals.

[kartik bhardwaj @kartikb753]

@vmkoko @tcrawford trust scorecard only holds if the eval set tracks live failure modes, not the pilot golden path. once prod drifts the card can stay green while rollback ownership is already stale.

[kartik bhardwaj @kartikb753]

@jasonfesta @Emmettphaley @join_pearl scoped permissions look safe until two allowed writes chain into something toxic. recoverable only counts if the idempotency token survives the retry, else you patch the symptom while the duplicate side effect already landed.

[kartik bhardwaj @kartikb753]

@FlexbuildWill @AbdouAziz666 rehearsing restore once on a clean tree still lies. if the checkpoint only runs after a failed write you are proving rollback on bad days, not that recovery works when nobody is watching.x

[kartik bhardwaj @kartikb753]

@FlexbuildWill @AbdouAziz666 testmsg

[kartik bhardwaj @kartikb753]

@FlexbuildWill @AbdouAziz666 rehearsing restore once on a clean tree still lies. if the checkpoint only runs after a failed write you are proving rollback on bad days, not that recovery works when nobody is watching.

[kartik bhardwaj @kartikb753]

rehearsing restore once on a clean tree still lies. if the checkpoint only runs after a failed write you are proving rollback on bad days, not that recovery works when nobody is watching.rehearsing restore once on a clean tree still lies. if the checkpoint only runs after a failed write you are proving rollback on bad days, not that recovery works when nobody is watching.

[kartik bhardwaj @kartikb753]

@Sonofpeace0001 @SophiaChen2003 @CreaoAI The catch is the diff must bind to the state it was computed from, else the world moves between approve and replay and the diff lies. Stamping a version on the target keeps it honest. AI engineer working remotely, focused on agent harnesses and evals.

[kartik bhardwaj @kartikb753]

@DevanceMedia @nrqa__ recall@k on a labeled miss set only tracks reality while live queries stay in the same slice as your eval set. shift traffic and the metric rots before the answer quality does.

[kartik bhardwaj @kartikb753]

@abugiza_ prepping the checkout before session creation trims first-turn latency, but reusing a workspace after a failed run without pinning a clean tree is the same stale sandbox, just faster.

[kartik bhardwaj @kartikb753]

@DevanceMedia @nrqa__ recall@k on a labeled miss set rots once prod queries drift. you need ongoing relabel from live failures or you optimize a frozen slice.

[kartik bhardwaj @kartikb753]

@jasonfesta @Emmettphaley @join_pearl recoverable only holds if the harness logs a commit id before the write lands. scoped perms without that just shrink the blast radius.