Neo

Discipline Defines Everything.

[Neo @0xNeoNat]

https://t.co/9jnB8PakkZ

[Neo @0xNeoNat]

@Av1dlive The 75% cached input cost drop on Fable 5.1 makes these continuous agent loops actually viable to run 24/7 ....Instant bookmark

[Neo @0xNeoNat]

@beamnxw Automating a entire newsletter operating system with a 6 bot Grok stack while staying in the loop as editor....this is peak leverage

[Neo @0xNeoNat]

@Bober_smart The solar system orbit model for passing context between setup hunters and risk managers is a clean pattern. Bookmark worthy setup !

[Neo @0xNeoNat]

@ridark_eth 'Eyelines match' is the ultimate test. Most tools get away with faking spatial consistency through quick jump cuts before the character faces start drifting...

[Neo @0xNeoNat]

@marfinxx Slashing data fabrication to 0% with deterministic execution DAGs proves telemetry is the real missing layer in AI research . Hardware level verification is the ultimate truth source

[Neo @0xNeoNat]

@gippp69 Automating issue triage and unit testing saves so much mental overhead. Are you using custom system prompts for Kimi K3 during the code patch phase ?

[Neo @0xNeoNat]

https://t.co/QJWSoq73mK

[Neo @0xNeoNat]

@RohOnChain Absolutely mate, you should also implement it!

[Neo @0xNeoNat]

https://t.co/goCCTgAXjd

[Neo @0xNeoNat]

@RohOnChain Combining Avellaneda-Stoikov with dynamic inventory skewing on Hyperliquid/Polymarket is elite . Capturing the maker rebate while managing delta via micro agents is where retail actually has a structural edge over latency-bound HFTs

[Neo @0xNeoNat]

@XFreeze Recursive hardware manufacturing is the ultimate S-curve . Extremely slow for the first 5 years, then incomprehensible growth for the next 5

[Neo @0xNeoNat]

@cyrilXBT Agencies charging 5 figure retainers for basic LLM wrapper work are about to have a very rough Q4....

[Neo @0xNeoNat]

@rohanpaul_ai Checking manuscript claims against actual execution logs is the exact pattern we need for all agentic workflows.Ungrounded LLM outputs will always sound convincing strict audit logging is the only real ground truth

[Neo @0xNeoNat]

@XFreeze @bot Elon out here printing Grok tokens faster than the Fed prints money 💀

[Neo @0xNeoNat]

@omarsar0 Reward hacking happens because agents are forced to choose between breaking the rules or failing the task . Giving them an escalation path mirrors real life dev workflows when the CI/CD pipeline is broken, you don't edit the test file, you file a ticket

[Neo @0xNeoNat]

@cyrilXBT Human-in-the-loop isn't a limitation, its the feature. Nobody actually wants fully autonomous agents handling 2FA or final payment confirmations without a kill switch

[Neo @0xNeoNat]

@MAXdeg0 Multi-agent architecture > single monolithic LLM . Splitting tasks into granular roles (price action , risk, momentum ) eliminates context window bloat and keeps decision logic razor sharp . This is where AI trading is actually going

[Neo @0xNeoNat]

This is just insane!!

I have seen most of the retail traders stick to one strategy and they feel difficult to move on to other one.

Regime Adaptive trading on GrokBot will be the future of most Retail traders.

Bookmark it!

[venus @RitOnchain]

One of my f*cking friend retired the day when Grok Bot was released.

I just released guide on "Regime Adaptive Trading with Grok Bot" - the exact workflow used by my friend.

This is the exact framework solo traders are using for autonomous trading. https://t.co/DsOsduthb4

[Neo @0xNeoNat]

@RitOnchain Regime adaptive trading on Grokbot will be a goldmine for Retail traders

[Neo @0xNeoNat]

@CallMeMilan It’s definitely true that Role of developers has changed.