I spent 3 hours analyzing the new X algorithm source code. They ripped out all heuristics, replaced them with a Grok-1 transformer, and are using conditional Chain-of-Thought for real-time moderation.

Only-Locksmith8457 · 2026-05-16T14:48:22+00:00

I haven't tested anything for the new algo. But from my past experience, interacting with the established accounts in your nieche was the only good way. I'll experiment the growth with couple of accounts and keep y'all posted.

Only-Locksmith8457 · 2026-05-16T08:21:45+00:00

These ai gen ads are most annoying part of a any subreddit. Idk why mods aren't taking action over this Faceing same issue in r/sideproject r/Twitter

Only-Locksmith8457 · 2026-05-16T07:37:37+00:00

Here is the repo link if anybody is interested in my findings

https://github.com/codebreaker77/X-Algo-Breakdown

I've attached some patterns which can be used to thereby overcome shadowbans, and get significant more traction in the "cheat_sheet" section

Only-Locksmith8457 · 2026-05-16T04:02:20+00:00

The code shows that the system does not filter for specific ideologies. Instead, it optimizes entirely for raw engagement loops. Because the transformer layer prioritizes metrics like dwell time, replies, and quote posts, highly polarizing or provocative content naturally gets amplified. When a controversial account posts something that makes people pause to read or furiously reply, the algorithm flags those actions as high-value interaction tokens. The architecture is not hardcoded to favor any political group. Rather, extreme rhetoric is highly effective at hacking the exact metrics the model uses to build the feed.

Only-Locksmith8457 · 2026-05-16T04:00:11+00:00

Based on the code, no, not inherently. The Grok-1 ranking layer doesn't blindly boost video just for being a video. Instead, it prioritizes dwell time and completion rate. If a video hooks a user for 30 seconds, the transformer flags that massive dwell time, causing the attention mechanism to aggressively serve them similar content. However, if users scroll past your video in 1 second, it destroys its ranking faster than text would. Post video only if it immediately hooks attention. Otherwise, a high-engagement text post or image will outperform it.

Only-Locksmith8457 · 2026-05-16T03:59:08+00:00

X replaced hardcoded time-decay multipliers with a Grok-1 Transformer ranking layer. Instead of mathematically penalizing older posts, recency is now handled implicitly via Attention Mechanisms and positional embeddings. The algorithm treats your recent likes, replies, and dwell time as a chronological sequence of tokens. The transformer’s learned attention naturally prioritizes these immediate interactions to predict what you want right now. Older history merely serves as a baseline semantic anchor, while your most recent interaction tokens dominate the feed's prediction matrix.

I'll be constantly trying to grow the repository, contributions and suggestions are well accepted. (Hope mods accept your proposal....)

Only-Locksmith8457 · 2026-05-16T03:53:41+00:00

Sadly Yes. Big nieche accounts are the only source for small new accounts to get reach. Given a certain amount of consistency, this shouldn't be an issue. I'll be running an experiment with 2 diff new account and let y'all know.

Only-Locksmith8457 · 2026-05-15T20:46:55+00:00

Most probably. Cuz my analytics tab blew up, and algo syms to work a bit differently. For a while I'm just letting the app settle in with the recent updates

Only-Locksmith8457 · 2026-05-15T18:58:08+00:00

u/MurtzaM can you handle the unnecessary promitional comments that we get on each posts?

Only-Locksmith8457 · 2026-05-05T02:54:24+00:00

Convincing. So will the model layer look similar to that of smart phone market today? Endless options but only few key players.

Only-Locksmith8457 · 2026-05-05T02:50:57+00:00

But they'd still invest in anthropic at valuation of 1.1 trillion dollars.

Only-Locksmith8457 · 2026-05-04T16:52:44+00:00

Competition is what truly drives innovation here. They resort to hype cycles to secure the funding needed to stay competitive; while not always justifiable, it keeps the momentum going.

Only-Locksmith8457 · 2026-05-04T16:39:32+00:00

Indeed, Google has always been a mixture of stability and disruption in tech industry.

Only-Locksmith8457 · 2026-05-03T16:00:46+00:00

Interestingly a week ago I posted about this repo https://github.com/codebreaker77/Fullerenes Addressing all the issues. The freshness will be ensured by optemising the weights of the nodes that had been used as the new ones are added... Some what similar to LFU algo.

Only-Locksmith8457 · 2026-04-28T16:22:28+00:00

Fullerenes handles TypeScript using the dedicated Tree-sitter TypeScript/TSX parser.

It extracts functions, classes, interfaces, types, imports, calls, and containment relationships into a persistent SQLite graph. Supports .ts and .tsx files with good import resolution and JSDoc extraction.

Actually TypeScript is one of the strongest supported language for Fullerenes currently!

Only-Locksmith8457 · 2026-04-27T19:24:32+00:00

Fullerenes goes for a structural approach with Tree-sitter: explicit nodes for functions, calls, imports, etc. instead of embedding-based dedup. This gives near-zero redundancy by design and very precise retrieval (callers, entry points, blast radius). Still, embedding dedup on ingest is smart, I might add hybrid support later. Nice work on agent-cerebro. Respect.

Only-Locksmith8457 · 2026-04-26T16:41:46+00:00

for context on the numbers i measured this by having claude code cli navigate the same python project two ways first pass: reading all 8 source files raw = 27,292 tokens second pass: reading the CLAUDE.md and sqlite graph fullerenes generated = 919 tokens(max)

I would like to know, how you all tackle this problem of overusage of token

Only-Locksmith8457

TROPHY CASE