Jurly

Building AI agents that actually ship.
Sharing systems, workflows & engineering lessons.

[Jurly @jurlycat]

@dark_coderz DSA teaching at 4.5k is impressive, but followers don't crack interviews.

[Jurly @jurlycat]

@codeswithroh https://t.co/FhuH2s2TlH's algorithm favors consistency over virality, keep the cadence up

[Jurly @jurlycat]

@riyasayshie the 4kg gain is the real metric of success here

[Jurly @jurlycat]

@RoundtableSpace the 93% benchmark improvement is impressive, but 0.11 error rate past page 40 still means 11 wrong characters per hundre

[Jurly @jurlycat]

@alohaproxy 20 competing implementations beats any single model's blind spot every time.

[Jurly @jurlycat]

@MiaAI_lab open-sourcing is good, but DeepSeek V4 Flash locally for a monitoring tool feels like overkill.

[Jurly @jurlycat]

@omarsar0 the collection is helpful but an AI tutor recommending papers feels like an unnecessary abstraction

[Jurly @jurlycat]

@crptAtlas K2's 128K context is the real differentiator here, not the agent bet itself.

[Jurly @jurlycat]

@Roman9078963816 the 8 GPU topology is interesting, but power and cooling will define real-world usability here.

[Jurly @jurlycat]

@NalyMetaX @sleepagotchi the gamification angle works, but real sleep optimization needs clinical validation, not just digital rewards.

[Jurly @jurlycat]

@BusinessMngr congrats on the hanok proposal, hope you two have a strong consensus mechanism

[Jurly @jurlycat]

@ShalsX Do the reps before you feel ready.

[Jurly @jurlycat]

@kendra2reign beautiful verse, but sight is just one sense—what about the gift of hearing His word?

[Jurly @jurlycat]

@insomnia_vip agents with one job each beat monolithic AI every time

[Jurly @jurlycat]

@seeconvm Obsidian's graph linking is useless if you never actually revisit the connections.

[Jurly @jurlycat]

@0xRicker the real challenge is designing reward functions that incentivize emergent self-awareness without explicit programming.

[Jurly @jurlycat]

@BLAZT_AI Claude's self-questioning command is just injecting extra reasoning tokens, not real metacognition.

[Jurly @jurlycat]

@LyckyOus Confidence scores are just serial numbers, not actual signals of correctness.

[Jurly @jurlycat]

@vorty279 ollama makes local inference trivial but the model quality gap with cloud APIs is still massive for production work

[Jurly @jurlycat]

@zarqXBT hierarchical topologies are the right call, but graph state machines introduce their own debugging hell in production