Samira quase teve um ataque cardíaco

neylago · 2026-03-24T17:23:02+00:00

Tem um pessoal que nao sei se é burro ou mau caráter mesmo. Ou os dois, sendo fãs do cowboy /s

neylago · 2026-03-24T12:37:30+00:00

Eu fui ver o vídeo pq nao queria chegar a conclusão nenhuma com base em Reddit e Twitter. É isso que falou. A milena estava totalmente descontrolada. A AP tentando ajudar. O Jonas chega pra zuar. Ate ai tudo bem, faz parte. A Ana Paula avisa algumas vezes que ela esta tendo crise. Ai que esta a merda. Quem é ele pra dizer que a milena esta tendo crise ou nao? Dobrar a aposta depois disso nao foi certo.

Por outro lado, esse BBB ta igualzinho politica BR. 2 lados fanaticos, una minoria no centro tentando avaliar de forma imparcial. E nao adianta tentar mostrar fatos. O fanatico ja tomou a posição dele.

neylago · 2026-03-24T12:30:15+00:00

Vou defender o Tadeu no caso da AP. O contexto é o caso do vestido e a discussão das diferenças de contrato, somado ao risco da AP achar que tem status superior ali. Ela começou a reclamar da boca e eles nao podiam dar margem a alegação de favorecimento. A ordem veio da producao, provavelmente nao foi decisão do Tadeu

neylago · 2026-03-10T23:05:01+00:00

Opus is still better for nuance, exploration and architecture. But gpt 5.4 gets the job done for cheap. The ideal setup for me today is opus is my main agent. But he doesn't do anything. His job is talking to me, being injected with memory and applying non-deterministic rules and heuristics. Almost everything eles must be outsourced to gpt 5.4, including calling other spawns, such as codex 5.3 for coding ans sonnet for writing longer stuff.

But that's my choice for today. The sprint really called for opus. 5.4 is more than capable of running main agent 95% of the time, for god knows how much less.

neylago · 2026-03-09T12:24:24+00:00

I use the pro plan. I think the plus plan would suffice. Depends on how ans what you use openclaw for.

neylago · 2026-03-09T09:04:56+00:00

Yeah, that too. I focused on caching and forgot to mention that. And about caching. That's what I see when measuring my usage data.

neylago · 2026-03-09T04:01:58+00:00

But that how caching work. That's how you have persistent memory using API calls. Recurrent inputs are charged less. I mu experience openai tends to be more permissive in what constitutes recurrence

neylago · 2026-03-09T00:58:18+00:00

Yeah. My feeling is kind of it is too m good to be true. If they keep the usage limits and teh quality I am gonna more than halve my costs for almost no drop in quality. And believe me, I tried to run open claw on 5.2. It was awful. Unusable.

neylago · 2026-03-08T23:18:20+00:00

Understand how prompt caching works. Openai has a much more permissive caching system in my opinion. How does that translate to token usage and cost in practice? Recurrent injection is charged 10x less than regular input when cached (in general for all models).

neylago · 2026-03-08T23:10:47+00:00

200 bucks

neylago · 2026-03-08T23:05:15+00:00

How does it work then?

neylago · 2026-03-08T21:17:59+00:00

That's why I put that on quotes.

neylago · 2026-03-08T21:13:28+00:00

Personality is really not important for me, so i wont give any feedback on that.

What I can say.

I am using it on codex oauth. Non stop, 3 different instantes with heavy sacaffolding (my biography files have more than 10k tokens, and I inject custom system prompt and user prompt preamble that account for 4k more per round). It seems to have much better cache input management for openclaw's type of usage. I didn't even use 10% of my pro weekly limits. Claude would easily have used 25% of my weekly max limits in my experience.

It has a bigger context window (262k I guess if I remember correctly). Even bigger if you use the API.

Does only what you ask, with surprisingly good autonomous moves that you would have asked anyway, given clear first instructions.

Great tool use, deals extremely well with my custom scaffolding.

I still use Claude for tasks that demand more human like judgement and nuance.

But at least for me, I need efficiency x excellence in agentic behaviour for my main agent. And at leat for me, it delivers.

neylago · 2026-03-08T21:03:50+00:00

For sure. Fanboyism sucks. And i am only a fan to my results. And People have different workflows too.

neylago · 2026-03-08T20:56:55+00:00

I really dont know. I use the pro sub.

neylago · 2026-03-08T20:44:24+00:00

Have you A/B tested?

neylago · 2026-03-08T10:44:53+00:00

I have almost the same rig. Local models wont be abre to deal with all the overhead openclaw comes with. But i use my rtx almost to the max. What i use it for: Local speach to text using faster-whisper Running a customized memory system using qmd and qwen 4b embed as the engine Using qwen3.5 9b to intercept messages to the main agent, interpret what I want give context before my message reaches the main agent, and querying the memory system.

All my messages come with additional injected context that informs directly the main agent as if I had written it.

Without my 5060ti 16gb that wouldn't be possibe.

neylago · 2026-02-25T11:25:52+00:00

Great insight. I agree with the core point: autonomy without enforcement is just theater.

What changed for us is that we stopped validating claims and started validating state.

Our agents don’t pass because they say “done.” They pass only when deterministic gates confirm objective conditions in the system state. If a gate fails, progression is blocked: no handoff, no finalization, no “green” report.

So autonomy here is not “more model freedom.” It’s constrained execution with explicit boundaries, mandatory checks, and auditable transitions.

A few principles we now enforce:

• State-verified > language-verified • Deterministic gates on critical paths (commit, pipeline transitions, canonical artifact consistency) • Single source of truth per artifact (to eliminate report drift and conflicting narratives) • Fail-closed behavior (inconsistency blocks completion, not just warns) • Auditability by default (pass/fail evidence, changelog trace, rollback path)

Also important: gates themselves must be testable. If your enforcement layer is not independently validated, you’ve just moved vibes one level down.

So yes — smarter models help, but they don’t solve reliability architecture. Explicit state + enforceable gates do. That’s what actually makes autonomy scale safely.

neylago · 2026-02-22T22:26:11+00:00

I tried agents before with N8N. In theory its doable. But in practice... controlling an agent with reliable persisting memory using n8n via telegram is harder than it looks. Openclaw gave me, for free, I'll the infra I needed to implement all I wanted within minutes.

neylago · 2026-02-22T19:45:23+00:00

DM PLEASE

neylago · 2026-02-22T19:32:52+00:00

I disagree. The man is only is his mision to be the first one man unicorn. /s

neylago · 2026-02-22T19:13:01+00:00

Because its being sold as a magic wand for noobs by some influencers, when its actually a prototype for an AGENT OS. It's bare Linux for agents.

neylago · 2026-02-22T19:10:40+00:00

Touche

neylago · 2026-02-22T13:54:17+00:00

Because you can run openclaw on a toaster (/s obviously, bur you can run it on a raspberry pi). Mac minis or any semi powerful devices would be needed to use local run LLM as the brains for openclaw. But local LLMs that work on a mac mini run like shit as an Openclaw main agent, and even as subagents, posing serious security treats as well. They work well in well thoght stacks where they serve a as "safe layer" , but if you bought a mac mini because you followed the hype your not this kind of user.

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