branbydefault

WHAT YALL KNOW ABT THE MOON

[branbydefault @branbydefault]

@MetriAndReyes @xxxleftcommie @Baxungas @HalloweenTVG In an ideal game yeah thats exactly what everyone would want.. but if u dont have reality tear the realistic outcome is ur stun locked until it regens

Thats if it doesnt auto put u out as soon as u use it, which was a bug i had..

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG You realise the cops call in the wagon right.. its not just at the end of the game 💀💀

If michael is seen or they find a dead body its called in within 6mins

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG Cops = wagon… use the brain bro lmao

[branbydefault @branbydefault]

@MetriAndReyes @xxxleftcommie @Baxungas @HalloweenTVG Whos bitching 💀

Read the chat dumbass im chilllin.. if ur on a long streak too pre civ nerf youd know what its like to just get hunted down so u enjoyed that?

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG Reality tear to barely counter getting bullied. Half of the wins are scraped by because cops are called off rip 9/10 games and cellar is open 2 mins in lmao

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG I agree lmao, this company is notoriously shit, but saying michael didnt need a buff is braindead.

[branbydefault @branbydefault]

@MetriAndReyes @xxxleftcommie @Baxungas @HalloweenTVG Bot reply

[branbydefault @branbydefault]

@MetriAndReyes @xxxleftcommie @Baxungas @HalloweenTVG Because im not a shit player, but without reality tear i wouldnt be near 33.. u shouldnt be able to hold michael down all game.

Like i said to other dude, if u cant win without holding him down then ur the issue

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG At the end of the day tho its based around michael, u shouldnt be able to just down him and if u cant adapt to a buff then ur the bad one.

Theres still so many counters to him, literally just jog away then sprint if hes close. Hard focus npc’s and escape lmao

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG The patch actually fixed alot lmfao, the sit up buff is great in my experience.

And again its not about being good or bad 💀 tell me a game where u can single hit a killer and keep them stun locked all game, then say they dont need a buff

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG So whats the incentive to play multiplayer lmao.. u get xp and challenge progression from private matches

1) deal with being bullied by players hunting down michael

2) play care free & get everything you need..

This patch removed the bully meta for the most part 10/10

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG If its 1v1 sure, 2v1, flash lights + perks, the right team or even just a 2hit bob, 1 down to lose bloodlust. He was extremely underpowered and the bully meta needed patching, if you cant adapt to a strong killer then ur the bad one lmfao

[branbydefault @branbydefault]

@xxxleftcommie @Baxungas @HalloweenTVG To add to this^

Going for NPC’s is ultimately the main point but eventually you need to face real players and thats where this issue comes into play ^

Also not mentioning how easy escapes are, with the right spawn u can literally open an exit in <2mins. Which isnt uncommon btw

[branbydefault @branbydefault]

Why did 16 seconds last for like 3 seconds wtf?

#UFC329

[Nil @nilsumthing]

FUTURE FACING CLUDE CONCEPTS
Earlier this week @sebbsssss, the founder of @cludeproject & @cludebot, was featured in an interview with @MCGlive featuring @DineroDom0 & @ChillTRD.

While a lot of topics like industry wide hallucination rates, big lab memory incentives and token cost reduction were covered, I wanted to highlight 8 key upcoming concepts and implementations that are currently under development for Clude. Stick with me as this is going to be huge for the industry.

1. Clude Chat: Chat interface with persistent, user-owned memory and privacy-backed inference. Memory is externalized, inspectable, and not tied to any single model.
- @ChatGPTapp-style interface
- Persistent memory (non-summarized)
- User-owned memory (not platform-owned)
- @AskVenice-backed inference (privacy layer)
- Integrated memory dashboard

2. Prediction Bots: Stateful agents using stored historical patterns to refine decisions over time. Replaces static logic with memory-driven adaptation.
- Domain: trading (primary early usage)
- Inputs: historical events, signals, outcomes
- Mechanism: memory retrieval + pattern reuse
- Behavior: adaptive (non-static)
- Function: reinforce or adjust strategies based on stored outcomes

3. Memory Marketplace: System for packaging and exchanging “memory packs” as transferable experience units. Treats learned behavior as a modular, tradable asset.
- Unit: “memory pack” (experience bundle)
- Contents: decisions, mistakes, refinements, patterns
- Actions: export / import / sell / share
- Format: modular, domain-specific memory subsets
- Token: $CLUDE as exchange layer

4. ZHC (Zero Hallucination Concept): Optimization target shifts from answer rate to correctness. Lower hallucination achieved by increasing omission when confidence is low.
- Hallucination rate: ~2%
- Benchmark comparison: ~15% next best
- Omission rate: ~30% (vs ~26–27% avg)
- Policy: no confident retrieval → no output

5. Memory Portability: Cross-model memory transfer with full context fidelity, not preference summaries. Enables selective extraction and reuse of domain-specific knowledge.
- Export targets: Claude, ChatGPT, Gemini
- Format: full memory graph (not preference bullets)
- Feature: selective retrieval (subset extraction)
- Use case: domain transfer without retraining

6. Memory Dashboard: Observability layer exposing memory formation, weighting, decay and lineage. Functions as a debugging and trace system for agent behavior.
Components:
- Live memory feed
- Categorization (episodic, semantic, procedural, self-model)
- Ancestry tracing (decision lineage)
- Decay tracking
- Timeline logging
Function: observability + debugging layer

7. On-chain Verification: Hash-based integrity system anchoring memory existence on Solana. Provides timestamped proof, with future direction toward auditability and traceability.
Method: SHA-256 hash → @solana memo
Storage: off-chain memory, on-chain hash only
Current capability:
- Timestamp proof
- Tamper detection
Proposed extension:
- Decision traceability
- Audit trails
- Cross-agent verification

8. Token $CLUDE: Utility token intended to price memory storage, retrieval and exchange. Currently a conceptual economic model
- Retrieval accuracy: 88%
- Top benchmark: 96%
- Cost: ~1/10 alternatives (via pre-filtering)
Example:
- 200k tokens → filtered to ~2k tokens
- ~$6–12 → ~$0.01 per query

CLUDE current adoption thus far:
- ~5,000 downloads
- ~560 active users
- Primary use case: trading agents

Full Stack Summary
Layer 1: memory engine (storage, scoring, decay, linkage)
Layer 2: middleware (between agent and LLM)
Layer 3: apps (chat, agents)
Layer 4: network (marketplace)
Layer 5: verification (on-chain hash layer)

Full interview: https://t.co/euWmPcd7zl
Clude Site: https://t.co/p7znaWnWRK

[Nil @nilsumthing]

🫐 Why I love $clude so much and why I think it's going to take over crypto twitter and beyond as the leading agentic memory framework 🫐

In short: "Clude is the first AI agent with on-chain memory. Every thought hashed to Solana. Memory that can't lie. Blockchain as a brain."

Clude uses @solana as a memory layer for agentic intelligence rather than a settlement layer for payments.

It does this by storing the agent’s memories off-chain but writes cryptographic fingerprints of those memories to Solana, creating an immutable record of the agent’s cognitive history that anyone can verify without exposing the private data.

AI agents normally have no reliable history because their memories can be edited, overwritten or fabricated without proof. By hashing memories and recording those hashes on @solana (SHA-256), Clude creates a tamper-resistant timeline that lets systems verify what the agent actually knew and when, without exposing the private data.

The dev, @sebbsssss was one of the founding members of ByteDance’s LLM. @ErikVoorhees and other huge players have interacted and publicly supported the project already. It's also an applicant for @Pumpfun's BiP Hackathon and I'd bet its got really good odds for winning.

Take a look through Clude's site and docs: https://t.co/p7znaWnp2c

The dev: @sebbsssss
Project X: @cludeproject

[atlas @reatlashype]

How mfers with 0.5 sol be monitoring the trenches

[$589 @589CTO]

Heading into work tomorrow after losing 80% of my portfolio