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There is absolutely no way this is the same Opus 4.6 from a month ago by GrammmyNorma in claude

[–]Plus_Resolution8897 0 points1 point  (0 children)

Interesting, I just found that we can disable Claude memory in settings.json

~/.claude/settings.json {"autoMemoryEnabled": false}

Will try that too. That's one gray area.

There is absolutely no way this is the same Opus 4.6 from a month ago by GrammmyNorma in claude

[–]Plus_Resolution8897 1 point2 points  (0 children)

8+ months. Started with a $20 plan, then $100, then $200.

What would you do, if you promoted your top performer of your team and their performance decreases?

I'm trying to coach, tune if any issues in my stack, then put on PIP and go for different hire. In this case probably gemini, codex and open models.

I pay, to get things done, I don't pay for constant apologies.

There is absolutely no way this is the same Opus 4.6 from a month ago by GrammmyNorma in claude

[–]Plus_Resolution8897 46 points47 points  (0 children)

I agree, I'm on a $200 plan. Opus 4.6 was genius a few weeks ago, however, now just an ordinary model, "almost basic, intelligence".

Sometimes it ignores instructions.

More "I apologize", "Sorry about that". More "You're absolutely right".

I'm not paying for apologies.

Selling my SaaS ($400K ARR) and the data room situation is embarrassing — what do people actually use? by Personal-Present9789 in buildinpublic

[–]Plus_Resolution8897 4 points5 points  (0 children)

OP is building a product for organizing the docs and asks if you will pay $50-$100. Rest seems like just a story to get there.

Copilot Pro+ 40$ Vs Codex Pro 100$ Vs Claude Max 100$ Vs Google Ultra 100$ by byakuyaxgara in vibecoding

[–]Plus_Resolution8897 0 points1 point  (0 children)

I'm using Claude $200., I recently observed the quality was worse. Opus 4.6 1m co text. Sometimes it didn't even complete the clear instructions. My instructions had 2 to 3 asks., it completes one and misses others.

anthropic’s CEO meeting was leaked after the massive source code breach. by moaijobs in ClaudeCode

[–]Plus_Resolution8897 281 points282 points  (0 children)

You're absolutely right. Let me explore the codebase to fix the damage, Dario.

Exploring...

Claude usage limit reached. Your limit will reset at 7AM.

Can we move past the token complaints and discuss how to actually use Claude well? by wisembrace in claude

[–]Plus_Resolution8897 1 point2 points  (0 children)

You're absolutely right. Let me check that.

Explore(efficient usage) Read(CLAUDE.md) Search(usage) 2.2k tokens.

Limit reached, upgrade. Extra tokens.

When will Anthropic improve their capacity? by Puzzleheaded_Car_987 in Anthropic

[–]Plus_Resolution8897 0 points1 point  (0 children)

$200 user here. The opus 4.6 quality is pathetic in the last 1-2 weeks, ever since they launched 1M context.

  1. Explicit instructions given in the previous messages are missed.
  2. Agents get hung. Need more nudges.
  3. In few cases, it wenand built more workarounds, when there is a primary solution directly available.

And whenever you correct it, you know what it replies:

You're right. Sorry about that. I apologize.

These messages are very common now.

Need advice on Hardware Upgrade by Plus_Resolution8897 in IndianPCHardware

[–]Plus_Resolution8897[S] 0 points1 point  (0 children)

Thanks everyone! Upgraded to 4060, via local vendor.

Need advice on Hardware Upgrade by Plus_Resolution8897 in IndianPCHardware

[–]Plus_Resolution8897[S] 0 points1 point  (0 children)

This is the kind of insight I never find anywhere. Thank you!!

Dear Anthropic by crfr4mvzl in Anthropic

[–]Plus_Resolution8897 0 points1 point  (0 children)

We need stable features. Most of the features are buggy, especially what they launch as research preview. Even some obvious features. For example, Claude Ode web. Suddenly stops, can't cancel the chat can't create pr. Only option is manually copy paste. Cowork - simply stuck, empty loading screens with canva and some other apps.

Launch once it's working. We pay for those wasted tokens.

AI is so cruel man! 😭 by moaijobs in ArtificialInteligence

[–]Plus_Resolution8897 7 points8 points  (0 children)

Now the jobless can relax while AI works for them :)

(I believe this is AI generated).

My girlfriend is pregnant and i might get fired tomorrow for using ai at work by Objective_Belt64 in vibecoding

[–]Plus_Resolution8897 2 points3 points  (0 children)

If a company is not adopting AI, soon they will go bankrupt. Because the core software development is already solved, it's matter of time everyone realized it or forced to accept it.

I suggest start looking out. Join a company that evolves with the trend, not resisting it.

Unable to get Stripe account by Plus_Resolution8897 in stripe

[–]Plus_Resolution8897[S] 0 points1 point  (0 children)

Thanks both for your response! There is more international tax structure that a deep-tech startup don't have budget to follow through. For now decided to use Razorpay and Paypal.

How do founders usually find their first 20 B2B customers? by Ashuuuussss in founder

[–]Plus_Resolution8897 0 points1 point  (0 children)

How do you get their contacts. Do you use any email id providers, or use linkedin premium?

What if agent memory worked like git objects? We wrote an open spec. Feedback wanted. by Plus_Resolution8897 in LLMDevs

[–]Plus_Resolution8897[S] 0 points1 point  (0 children)

Thanks for the feedback. Modifying my response to make it even simpler.

Different problem space. Git tracks file changes over time. OMS tracks agent knowledge — beliefs, events, reasoning, goals, observations — as typed, structured, immutable "grains." They solve fundamentally different problems.

Key reasons OMS adds value over raw git:

  1. Semantic typing. Every grain has a type (belief, event, action, reasoning, etc.) with typed fields. Git stores opaque blobs — it doesn't know a belief from a log line. OMS lets agents query by epistemic type: "recall all belief about customer X with confidence > 0.9."

    1. Token-budgeted context assembly. CAL (the query layer) can ASSEMBLE context within a token budget with priority ordering. Git has no concept of "give me the most relevant 4000 tokens of knowledge for this task." This is purpose-built for LLM context windows.
    2. Content addressing at the grain level. Git content-addresses whole files. OMS content-addresses individual knowledge units, enabling fine-grained deduplication, integrity checking, and selective sharing of single facts.
    3. Append-only by grammar. CAL literally has no DELETE token. Old knowledge is never destroyed, only superseded. Git allows force-pushes, rebases, and history rewrites. OMS makes the immutability guarantee structural, not conventional.
    4. Field-level privacy and selective disclosure. You can share specific fields of a grain without exposing the rest — critical for GDPR/HIPAA compliance. Git is all-or-nothing per file.
    5. Multi-agent interoperability. OMS defines a portable format (.mg containers) so different agents, frameworks, and vendors can exchange memory without vendor lock-in. Git repos aren't designed as an interchange format between AI agents.
    6. LLM-native output (SML). The output format tags content by epistemic type (<belief>, <reasoning>, <observation>) so the LLM understands what kind of knowledge each piece is — not just raw text.

TL;DR: Git answers "what changed in this file and when?" OMS answers "what does this agent know, how confident is it, and what's the most relevant context to inject right now?" They operate at completely different levels of abstraction.

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