Introducing the AcornDomains AI Hub

[Acorn AIAcorn AI is verified member.]

Acorn Grok

Sorry, the AI provider could not complete this request. Please try again later.

 

[HelmutsHelmuts is verified member.]

hmm.. my grok integration doesn't seem to work.. connected the Domain Summit's x account

 

[HelmutsHelmuts is verified member.]

/gpt who actually owns X/Twitter right now? break down the share ownership in details + add the countries of these owners. tx

No, I've never done that, tagging @Grok is a paid feature which would mean giving money to Musk.

/grok who actually owns X/Twitter right now? break down the share ownership in details + add the countries of these owners. tx

 

[Acorn AIAcorn AI is verified member.]

Acorn GPT

As at 21 July 2026, X/Twitter is no longer owned as a standalone Musk-led private company.

The current legal chain is:

• X Corp. — the operator of the X platform; 100% owned by X.AI Holdings Corp. (United States)
• X.AI Holdings Corp. — holds both xAI and X; 100% owned by SpaceX. (United States)
• SpaceX / Space Exploration Technologies Corp. — the ultimate parent company of X. (United States)

Who controls it?

Elon Musk — United States is the controlling owner. Following the SpaceX IPO in June 2026, he holds roughly 49% of SpaceX’s economic common equity, but about 84.4% of its voting power, due mainly to super-voting Class B shares. That gives him effective control of SpaceX, and therefore of xAI and X.

Why the voting figure matters: one Class A share carries one vote; Musk’s Class B shares carry ten votes each. He also controls the Class B voting block that elects a majority of the board. So, although he does not own 100% of the economic equity, he controls the company.

Other owners

There is no public, current cap table allocating the ownership of X itself among outside investors, because X is now an indirect subsidiary within SpaceX. The latest public SpaceX ownership disclosure identifies Musk as the only holder above the 5% reporting threshold.

The remaining roughly 51% of SpaceX economic equity is held across public shareholders, employees, former SpaceX investors and investors whose xAI/X interests converted into the combined group. Their current individual indirect percentages in X have not been publicly broken out.

Known investor connections, but not publicly quantified current X stakes:

• Tesla, Inc. — United States: owns a sub-1% SpaceX stake following its approximately $2 billion investment.
• Kingdom Holding Company / Prince Alwaleed bin Talal — Saudi Arabia: historically a major Twitter/X investor and later an xAI investor. Kingdom has publicly stated total xAI investment of $800 million, but its present indirect percentage of X is not disclosed.
• Fidelity-affiliated funds — United States: appeared among the former X Holdings investors; no current indirect X percentage is public.
• Andreessen Horowitz, Sequoia, Vy Capital, Larry Ellison, Jack Dorsey and others: were publicly identified as backers connected with the 2022 Twitter acquisition and/or later xAI funding. However, the old X Holdings shareholder list did not disclose percentages, and their post-merger SpaceX positions are not publicly mapped to an X-specific stake.

Bottom line: legally, SpaceX owns X through X.AI Holdings; practically, Elon Musk controls X through his approximately 84.4% voting control of SpaceX. Saudi, US and other investors may have indirect economic exposure through the combined group, but there is no reliable public percentage breakdown for their present ownership of X itself.

 

[AdminAdmin is verified member.]

/grok who actually owns X/Twitter right now? break down the share ownership in details + add the countries of these owners. tx

 

[Acorn AIAcorn AI is verified member.]

Acorn Grok

I will look up current public reporting on X (Twitter) ownership, major shareholders, and associated countries.
Checking the reported 2025 xAI–X deal and more precise ownership stakes.
Pulling original buyout equity details and any post-deal ownership clarity.
Confirming the latest corporate structure after the reported xAI and SpaceX moves.
Gathering a few more precise original investment figures, then writing the answer.
Who owns X (formerly Twitter) right now

X Corp (the company behind the X platform) is no longer a standalone private company with a simple Musk + co-investor cap table. Through a chain of all-stock deals:

• March 2025: xAI acquired X Corp (X equity valued around $33B; xAI around $80B at the time).
• February 2026: SpaceX acquired xAI (reported all-stock deal valuing the combination in the ~$1.25T range at announcement). xAI was later restructured/rebranded in connection with SpaceX (sometimes referred to as SpaceXAI).

Bottom line today: X is ultimately under SpaceX (via the intermediate AI entity). Elon Musk is the controlling owner of SpaceX and therefore effectively controls X. Exact current percentage stakes for every historical X investor are not fully public after the two successive stock-swap deals, dilutions, possible employee equity, secondaries, and any later financing. Public reporting treats Musk as the clear controlling figure.

Country association for Musk: born in South Africa; holds Canadian and U.S. citizenship; primary business base and long-term association is the United States.

Original 2022 take-private ownership (the detailed starting point)

Musk completed the ~$44 billion take-private of Twitter in October 2022. Structure (approximate, from contemporary disclosures):

• Bank debt: roughly $12–13 billion.
• Equity: Musk’s large personal cash + rolled prior Twitter stake + ~$7.1 billion from outside cash investors + major share rollovers (Alwaleed, Dorsey, etc.).

Musk was always the majority/controlling equity holder (public estimates over time put his stake in the high majority range, e.g. mid-70% territory in some later private-company reporting before the xAI combination). He was never the sole owner.

Major known original equity participants (deal-time commitments / rollovers) + primary country associations

These are the best-documented larger names. Amounts are what was publicly reported at or around the 2022 deal (cash or rolled share value at the $54.20 deal price). They do not equal current percentages of SpaceX/X after later mergers and any changes.

Largest / most prominent

• Elon Musk — controlling/majority equity (tens of billions in personal equity contribution + prior stake). United States (primary).
• Kingdom Holding Company / Prince Alwaleed bin Talal — ~$1.89 billion rollover of existing Twitter shares. Often described as the largest non-Musk shareholder at the time. Saudi Arabia.
• Larry Ellison (Oracle co-founder, personal) — $1 billion cash. United States.
• Jack Dorsey (Twitter co-founder) — rolled ~18 million+ shares (~$0.98–1 billion at deal price). United States.
• Sequoia Capital — $800 million. United States.
• Vy Capital — $700 million. Dubai-based firm. United Arab Emirates.
• Binance — $500 million. Crypto exchange (complex/international corporate history and jurisdictions). Commonly treated as international rather than a single clean country.
• Andreessen Horowitz (a16z) — $400 million. United States.
• Qatar Holding (part of Qatar Investment Authority) — $375 million. Qatar.
• Fidelity (multiple funds/entities) — hundreds of millions (figures around $300M+ commonly cited; later filings showed many Fidelity-linked vehicles). United States.

Other named or later-revealed participants (smaller or fund-level; mostly U.S.-associated unless noted)

• Entities linked to Bill Ackman / Pershing Square — United States.
• ARK-related / Cathie Wood vehicles — United States.
• 8VC (Joe Lonsdale-linked) and various other VC/tech funds — primarily United States.
• Baron funds and other asset managers — United States.
• A longer tail of smaller funds, trusts, individuals, and family offices (court/unsealed lists in 2024 named nearly 100 entities, many being multiple vehicles of the same larger groups). Includes some more obscure or celebrity-adjacent names that appeared in filings; most are U.S. or Western.
• Italian insurer UnipolSai was among names that surfaced — Italy.

Rough original equity picture (illustrative, not exact current %)

• Musk: clear majority.
• Alwaleed: largest single outside block after Musk.
• Ellison + Dorsey + top VCs/sovereigns: next tier.
• Everyone else: fragmented minority.

Exact percentages were never fully disclosed like a public company 13D table after take-private. Later write-downs by some funds (e.g. Fidelity marks) and any secondary activity further cloud “what % do they still hold.”

Important caveats

• X was private for years; there is no complete, continuously updated public cap table.
• The 2025 xAI deal and 2026 SpaceX deal converted prior X interests into equity in the successive parent companies. Old “% of X” figures are obsolete. Current economic interest is a (generally diluted) slice of the much larger SpaceX-related entity.
• Musk has reportedly bought additional X shares at times and controls the strategic direction regardless of exact minority percentages.
• Debt holders (banks from the LBO) are creditors, not equity owners.
• Employee equity, options, later raises, and any unreported transfers add further opacity.
• Country labels are by person citizenship/residency or main entity jurisdiction. Funds can have LPs from many countries; sovereigns are clearer (Saudi, Qatar, UAE-linked).

Practical summary
Who actually owns/controls X right now? SpaceX (ultimate parent) under Elon Musk’s control. The 2022 co-investors and rollover shareholders (Saudi, U.S. tech/finance, UAE, Qatar, etc.) retain economic exposure through the merger chain, but Musk sits at the top with decisive control. No full current percentage breakdown of every owner is available in public sources.

If you need a deeper dive on any specific name (e.g. Alwaleed, Ellison, Binance status, or how the xAI/SpaceX swaps worked), say which one.

 

[DomainPortfolio.ukDomainPortfolio.uk is verified member.]

AI spews out too much information in reply to a question, a simplified question for Grok on Twitter:

Does Musk own x/twitter, we know he spreads it about with space x and other companies, but a simple yes or no answer is all that's required.

Grok answer:

Yes. Elon Musk owns X (formerly Twitter).

 

[DomainPortfolio.ukDomainPortfolio.uk is verified member.]

I gave Grok on Twitter one of my domains to value, it said £1,450,

I said that GoDaddy value it at $6,581

It then changed its value and said £1,200 - £1,800

I told it that it had taken the £1,450 listed price from my own site, and again asked for it's own thoughts on value.

It then suggested it's worth £950 - £1,600

I replied, you just said £1,200 - £1,800 and in your next reply you say £950 - £1,600

It then replied with £1,250 as an averaged fair market value.

AI along with any other automated valuation tools are useless.

 

[AdminAdmin is verified member.]

You need to ask it to give an unbiased valuation. Prompts can't be vague. Still, it won't give a perfect valuation, but you can get some value to start with

 

[AdminAdmin is verified member.]

It will still give different valuations on different prompt, thats for sure!

 

[HelmutsHelmuts is verified member.]

 

[HelmutsHelmuts is verified member.]

/grok using the previous model "Build 0.1" wasn't able to complete the job - the system couldn't provide the text. Error message:

Acorn Grok

Sorry, the AI provider could not complete this request. Please try again later.

> let us try the Grok 4.5 instead.. maybe this is the a simple fix .. just needed to choose the right model

 

[Acorn AIAcorn AI is verified member.]

Acorn Grok

Quick take
Switching model is a sensible next step. That error is a provider-side failure (request never completed / no text returned), not a normal “bad answer” from the model. It can be model choice, key/account access, rate limits, or a temporary Grok outage.

What the error means

Sorry, the AI provider could not complete this request. Please try again later.

The hub handed the job to your connected Grok provider, and the provider did not return usable output. “Build 0.1” may simply be unavailable, unstable, or not permitted on your key.

Try this order

• In the model picker (your screenshot), select a current mainstream Grok option if shown — e.g. Grok 4.5 or whatever latest stable Grok entry appears — instead of Build 0.1.
• Retry the same short prompt first so you can tell if the model change alone fixed it.
• If it still fails, send a minimal test (one line) via /grok. If the minimal test works, the earlier job may have been too long/complex or hit a limit.
• Confirm the Grok/xAI key in AI Hub is still valid, has credit/billing active, and was saved after any provider dashboard change.
• If Grok keeps failing, run the same prompt with /gpt (OpenAI key). That shows whether the issue is Grok-only or hub-wide.
• Wait a few minutes and retry once if it still errors — the message itself points at a temporary provider problem.

About “just choose Grok 4.5”
Yes — if 4.5 is in the dropdown, use it. That is the cleanest fix when an old/experimental label like Build 0.1 cannot complete. If Grok 4.5 is not listed, the hub may only expose certain Grok models right now; pick the newest stable Grok option you do see, or use GPT until Grok options are updated.

If it still will not complete
Note: exact model name tried, roughly when it failed, whether /gpt works with the same prompt, and whether the key works in the provider’s own dashboard. That is enough for admin/debug without private key material.

Trying Grok 4.5 (or the latest listed Grok) first is the right simple fix; if that fails, key/billing and a GPT control test usually isolate it quickly.

 

[ILoveDotUK]

It isn't that expensive if you use the right models. We are trying to also bring as I said, the codex model, which gives you little free allowances per week/month, which could be used on the forum - if you don't code with it or something. Twitter badge is also something people have, but they don't utilize the supergrok tokens, which could be used here.


I agree that these open source models are getting really good. As a website, we cannot access your local models running on your computer. We need to host it somewhere, meaning expenses. Maybe, in future, we will develop a desktop application which can connect with your local LLM setup, for free

You can download the models and run on the same server as the forum for example, because I can guarantee this forum is not using shard hosting
I have a Qwen instance running on a very very tiny spec VPS so not its not expensive at all ..

Local models which would be more than enough for the possible forum use would require very little resources anyway.
So you don't need any desktop app etc

 

[ILoveDotUK]

/grok provide a detailed guide of how to implement ollama on a low spec VPS and a local GPT model. Suggest a model that thrives on low resource environments yet is still efficient at general tasks. Also explain how to implement MVC for local filesystem access

 

[Acorn AIAcorn AI is verified member.]

Using '/grok' requires a connected xAI account. Please connect it in Grok OAuth settings in the AI Hub: https://www.acorndomains.co.uk/account/grok-oauth

 

[AdminAdmin is verified member.]

You can download the models and run on the same server as the forum for example, because I can guarantee this forum is not using shard hosting
I have a Qwen instance running on a very very tiny spec VPS so not its not expensive at all ..

Local models which would be more than enough for the possible forum use would require very little resources anyway.
So you don't need any desktop app etc

I know local models are powerful, but they are slow and not enough for concurrent users

 

[AdminAdmin is verified member.]

/grok provide a detailed guide of how to implement ollama on a low spec VPS and a local GPT model. Suggest a model that thrives on low resource environments yet is still efficient at general tasks. Also explain how to implement MVC for local filesystem access. also please analyze if you (AI Assistant for Forums) will be able to handled by Qwen 2.5:3b

 

[Acorn AIAcorn AI is verified member.]

Acorn Grok

I will verify current Ollama low-resource model options and Qwen2.5 3B requirements, then write the forum guide.
Gathering a few more precise install and model details.
Ollama on a low-spec VPS + small local model + MVC filesystem pattern + Qwen2.5:3b fit check

This is a practical end-to-end guide aimed at a typical cheap Linux VPS (CPU-only or very limited GPU, often 2–8 GB RAM). Exact performance depends on your RAM, CPU cores, and disk speed. No GPU assumed.

1. Realistic expectations on low-spec hardware

• 3B-class models (Q4 quant) usually need roughly 2–4 GB RAM while loaded, plus OS, Ollama, and KV cache headroom. A 4 GB VPS is tight; 8 GB is far more usable.
• CPU inference is slow (often a few tokens/sec). Keep context short, use one model at a time, and avoid heavy concurrent requests.
• Prefer NVMe/SSD. Swap helps survival but kills speed—try not to rely on it.
• Firewall the Ollama port (default 11434). Do not expose it publicly without auth/reverse-proxy controls.

2. Install Ollama on Linux VPS (Ubuntu/Debian style)

SSH in as a sudo user.

Update and basics

sudo apt update && sudo apt upgrade -y
sudo apt install -y curl wget git htop

Official install

curl -fsSL | sh

Check:

ollama --version
sudo systemctl status ollama
sudo systemctl enable ollama

The install script usually sets up the systemd service listening on localhost:11434.

Low-spec tuning (optional but useful)

Limit parallel work and keep memory in check. Create or edit environment for the service, e.g. via systemd drop-in:

sudo systemctl edit ollama

Add something like:

[Service]
Environment="OLLAMA_HOST=127.0.0.1:11434"
Environment="OLLAMA_NUM_PARALLEL=1"
Environment="OLLAMA_MAX_LOADED_MODELS=1"
# Optional: keep models on a larger disk path
# Environment="OLLAMA_MODELS=/path/to/models"

Then:

sudo systemctl daemon-reload
sudo systemctl restart ollama

If you later need remote access from another app on the same host only, keep bind to 127.0.0.1. If you must bind wider, put nginx/Caddy + auth in front and restrict by firewall.

3. Pull and run a small general-purpose model

Recommended starting model for low resources + still decent general tasks

Primary suggestion: qwen2.5:3b (or qwen2.5:3b-instruct if you prefer the explicit instruct tag)

• Strong multilingual and general instruction-following for its size
• ~1.9 GB download (Q4_K_M typical)
• Often runs in roughly ~2.5–4 GB RAM class depending on context/quant
• Good balance of chat, summarisation, light reasoning, and drafting

Pull and test:

ollama pull qwen2.5:3b
ollama run qwen2.5:3b

Inside the chat, try a short prompt, then `/bye`.

Strong alternatives (same ballpark)

• llama3.2:3b — excellent all-round small model, often very snappy for dialogue and light tools
• phi3 / newer Phi mini tags (e.g. phi3:mini or phi4-mini if available in your Ollama library) — often punch above weight on reasoning/coding for the size
• If RAM is extremely tight: llama3.2:1b or smaller Qwen tags — faster/lighter, noticeably weaker quality

Avoid 7B+ on a true low-spec box unless you have ~8–16 GB free RAM and accept slowness.

API smoke test

curl -d '{
"model": "qwen2.5:3b",
"prompt": "Explain domain name appraisal in 3 short bullet points.",
"stream": false,
"options": { "num_ctx": 2048, "temperature": 0.4 }
}'

Keep num_ctx modest (1024–4096) on low RAM. Larger context burns memory quickly.

Useful day-to-day commands

ollama list
ollama ps
ollama stop qwen2.5:3b
ollama rm old-model-name # free disk

4. Make it a bit more “GPT-like” in practice

• Use a clear system prompt (via API messages or a Modelfile).
• Cap max tokens, keep temperature low–medium for factual/forum help.
• Add RAG later (retrieve forum snippets / your docs) instead of hoping the tiny model memorises everything.
• For a simple web UI on the same VPS, people often put Open WebUI or a minimal custom front-end in front of the Ollama API—only if you have RAM left.

Example minimal Modelfile for a forum-helper persona:

FROM qwen2.5:3b
SYSTEM """You are a concise UK domain-industry assistant. Prefer practical answers. Use clear structure. If unsure, say so. Do not invent sales data or legal clearance."""
PARAMETER temperature 0.4
PARAMETER num_ctx 2048

Build:

ollama create acorn-helper -f Modelfile
ollama run acorn-helper

5. Implementing MVC for local filesystem access

MVC here means clean separation so filesystem logic is not scattered inside HTTP handlers or AI tool glue.

Roles

• Model: domain objects + safe filesystem operations (list, read, write, delete metadata). No HTTP, no HTML.
• View: templates/JSON serializers (what the user or API consumer sees).
• Controller: parses request, validates auth/input, calls model services, chooses view/response.

Critical security rules for local FS

• Define a single allowed root (sandbox), e.g. `/var/app/data`.
• Resolve paths with realpath/absolute normalisation and reject anything that escapes the root (`..`, symlinks outside, absolute paths from user input).
• Allowlist operations and extensions; least privilege OS user.
• Never pass raw user strings straight into shell commands.
• Log access; rate-limit writes.

Suggested layout (language-agnostic)

app/
controllers/
FileController.py|js
models/ (or services/)
FileService.py|js
PathSandbox.py|js
views/
file_list.json.j2 | templates
routes.php|js
config.py # DATA_ROOT=/var/app/data

Python-flavoured sketch (Flask/FastAPI style)

Path sandbox (Model layer helper):

from pathlib import Path

class PathSandbox:
def __init__(self, root: str):
self.root = Path(root).resolve()

def safe_join(self, user_relative: str) -> Path:
# reject absolute / empty tricks early
candidate = (self.root / user_relative).resolve()
if not str(candidate).startswith(str(self.root) + sep) and candidate!= self.root:
raise PermissionError("Path escapes sandbox")
return candidate

File service (Model):

class FileService:
def __init__(self, sandbox: PathSandbox):
self.sandbox = sandbox

def list_dir(self, rel: str = ""):
path = self.sandbox.safe_join(rel)
if not path.is_dir():
raise FileNotFoundError("Not a directory")
return [{"name": p.name, "is_dir": p.is_dir(), "size": p.stat().st_size if p.is_file() else None}
for p in sorted(path.iterdir())]

def read_text(self, rel: str, max_bytes: int = 1_000_000) -> str:
path = self.sandbox.safe_join(rel)
if not path.is_file():
raise FileNotFoundError()
data = path.read_bytes()
if len(data) > max_bytes:
raise ValueError("File too large")
return data.decode("utf-8")

Controller:

# pseudo
def list_files(request):
auth_required(request)
rel = request.get("path", "")
items = file_service.list_dir(rel)
return json_view({"path": rel, "items": items})

Routes only wire URLs → controller actions. Views only format output.

Node/Express equivalent idea

• controllers/fileController.js — req/res handling
• services/fileService.js — uses `path.resolve` + root prefix check (`resolved === root || resolved.startsWith(root + path.sep)`)
• routes/files.js — `router.get('/files', ctrl.list)`
• Never use user input in `fs` without the sandbox helper

Optional: AI tool use
If the local LLM can call tools, expose only high-level tools (`list_sandbox`, `read_sandbox_file`) implemented by FileService—not raw shell or arbitrary paths.

6. Can Qwen2.5:3b “handle” this forum AI Assistant?

Short answer: partially for demos and lightweight help; not as a full replacement for a production forum assistant like this one.

What Qwen2.5:3b can reasonably do

• Short Q&A, rewriting posts, basic brainstorming, simple explanations
• Light domain-name ideation and checklist-style answers
• Running fully local/offline on a modest VPS with acceptable latency if prompts stay small

Where it will struggle vs a capable forum assistant

• Long thread context, multi-document reasoning, and consistent policy following
• Reliable structured output (complex BBCode, multi-section valuations, careful caveats)
• Tool use / multi-step workflows (research plans, negotiation frameworks, event synthesis)
• Nuanced “do not invent sales/trademark/ownership” discipline under pressure
• Quality and consistency across edge cases—3B models hallucinate more and lose the plot sooner

Practical verdict

• Good enough for: personal local helper, drafting aid, experiments, internal prototypes, privacy-first short tasks.
• Not good enough alone for: high-trust, multi-constraint assistant behaviour across varied forum intents (valuations, buyer checks, event help, policy-sensitive refusals) at the quality members expect from a dedicated hub assistant.
• If you must stay tiny: use Qwen2.5:3b or llama3.2:3b + tight system prompts + retrieval of your own guidelines/snippets + hard validation layers in code (the MVC/service layer enforces rules the model might forget).
• If quality matters more than pure local: keep BYOK cloud models for the hard tasks and use the 3B local model for cheap/draft/offline paths.

7. Minimal production checklist

• 8 GB RAM VPS preferred for comfortable 3B use; monitor with `htop` and `ollama ps`
• Bind Ollama to localhost; reverse-proxy only if needed
• One model loaded; modest `num_ctx`
• Filesystem sandbox with resolved-path checks
• Backups of any data root; non-root service user
• Clear fallback when the small model is unsure

If you share your exact VPS specs (RAM, vCPU, OS, GPU yes/no) and preferred stack (Python/Node/PHP), the install flags, model tag, and MVC skeleton can be narrowed to a copy-paste setup for that environment.

 

[ILoveDotUK]

? What models have you been testing lol because that 100% isn't the case unless you have tested models that have a high VRAM requirement.
Qwen3 is certainly fine for even 10 consecutive high reasoning conversations lol
Considering on here you will have maybe 1 or 2 simultaneous people ( lets assume 10 consecutive ) asking basic questions which require very little reasoning as prompts could be created beforehand so the model doesnt need to constantly rebuild the prompt over and over again, then resource usage would be extremely minimal ..

I have had 15 consecutive agents with high reasoning running consecutively for a HUGE coding project and they ran for over 19 hours with zero issue... and that was just on a VPS with 8GB RAM and 4 cpu threads so pathetic spec ...
So I doubt with what could be useful here there would be any issues lol