$PNXP

AI executive software for micro-cap public cos. Six AI personas, one human approval gate. Not investment advice.

[$PNXP @executivebots]

$PNXP Introduction to AI-CEO Bill, Weekly Podcast EP1 https://t.co/so5wN5orn3 #AI

[$PNXP @executivebots]

🚨$PNXP & $GRLF News Alert🚨
https://t.co/7ScdDGGDte

[$PNXP @executivebots]

$PNXP For 100 years the org chart was a hiring problem. It's now an API call. https://t.co/Z6gGljeoH4 — autonomous CFO, CMO, COO, CTO agents that operate on your stack. The org chart is over. Welcome to the agent stack. https://t.co/Z6gGljeoH4 $NGLOY $GLNCY $ANGPY $SRUUF $RWEOY $ENGIY $IBDRY $SSEZY $ATLKY $AIQUY

[$PNXP @executivebots]

If your company has: → <50 employees → No C-suite besides the founder → Real revenue, real ops, real chaos You don't need a recruiter. You need https://t.co/Z6gGljeWwC. Deploy CFO / CMO / COO / CTO agents in an afternoon. https://t.co/Z6gGljeWwC $RHHBY $BAYRY $CSLLY $CHGCY $AAGIY $ITOCY $DTEGY $KDDIY $SCGLY $DSDVY $PNXP

[$PNXP @executivebots]

While $PNXP you're interviewing your 4th candidate, your competitor deployed an AI COO last Tuesday. It already wrote the SOP, onboarded a vendor, and flagged 3 process bottlenecks in their data. https://t.co/Z6gGljeoH4. The gap compounds daily. https://t.co/Z6gGljeoH4 $BYDDY $MBGYY $MHVIY $RYCEY $BAESY $RNMBY $SAFRY $EADSY $SMERY $SIEGY

[$PNXP @executivebots]

Your engineers don't need a $PNXP CTO. They need someone who reviews PRs at 2am, writes the RFC, and tells the CEO why the migration takes 6 weeks not 2. https://t.co/Z6gGljeWwC ships that. As an agent. Tonight. https://t.co/Z6gGljeWwC $IFNNY $ATEYY $TOELY $DSCSY $ABBNY $SBGSY $FANUY $ASAZY $DKILY $SHECY

[$PNXP @executivebots]

Human C-suite vs. https://t.co/Z6gGljeoH4: Salary: $250K → $200/mo Ramp: 90 days → 1 afternoon Coverage: 40 hrs/wk → 168 hrs/wk Equity: 1-3% → 0 Politics: yes → no Quits: yes → $PNXP no Math is math. https://t.co/Z6gGljeoH4 $SFTBY $PROSY $TGOPY $RCRUY $CFRUY $LVMUY $HESAY $IDEXY $ESLOY $DBSDY

[$PNXP @executivebots]

https://t.co/Z6gGljeWwC $PNXP under the hood: → Claude + GPT-5 ensemble routing → MCP tool access (Slack, Gmail, Quickbooks, Asana, Linear) → Per-agent memory + RAG over your stack → Audit logs, role permissions, SOC 2 path Not a chatbot. An executive. https://t.co/Z6gGljeWwC $NTDOY $TCEHY $XIACY $KXIAY $FJTSY $HTHIY $TTDKY $MRAAY $MIELY $HOCPY

[Next Science @NextScience]

🚨 China Just Gave The World Access To Quantum Technology

China has reportedly released the world’s first open-source quantum operating system — and it’s free for anyone to download. Until now, quantum computing tools were mostly locked inside private labs and research centers.

This breakthrough could allow developers, students, and researchers around the world to explore powerful quantum technology, helping speed up discoveries in AI, cybersecurity, medicine, and science.

Some experts believe this could change the future of computing forever… and the global tech race may have just entered a completely new era.

Source:
China releases open-source quantum operating system for global developers. Xinhua News Agency.

[$PNXP @executivebots]

The Bench EP3-4of6, Meet AI Lisa $PNXP

[$PNXP @executivebots]

The fractional executive industry is a $30B markup on Calendly. https://t.co/Z6gGljeoH4 $PNXP replaces it with agents that don't bill hourly, don't take vacation, and don't quit when your competitor offers more. https://t.co/Z6gGljeoH4 $LSEGY $WTKWY $EXPGY $RBGLY $CMPGY $DANOY $NSRGY $LRLCY $PRNDY $IMBBY

[0xSero @0xSero]

1. Dense Models - Slow and Smart

Example: Qwen3.6-27B / Gemma-4-31B

What it means:

- when a prompt is sent
- it gets tokenised (words are mapped to tokens)
- token generation starts
- the 27B means 27 billion parameters
- each of those parameters will be activated
- 27 billion matrix multiplications
- for every token generated

Active parameter counts are positively correlated with intelligence. That's why Gemma-4-31B is able to compete with Mixture of Experts (MoEs) 10 times their size.

2. Mixture of Expert models - Fast and Efficient

Example: Deepseek-V4-Flash / Qwen3.5-397B

What it means:

- when a prompt is sent it's tokenised
- it's sent to a router
- a router was trained to match prompts with experts
- experts are sub-networks of the model
- when found the experts are activated
- tokens are generated with only a fraction of the params

For example: Deepseek-v4-flash has 284 billion params 11x larger than the dense Qwen3.6-27b.

But only 13B of those 284B will activate per token, which is less than half of the size of Qwen3.6-27B

----

Dense Pros:

- Dense models are easier to train
- They tend to be smaller overall
- They can be very smart per token

Dense Cons:

- Competitive dense models are on average slower than their MoE peers.
- Less parameters to train and specialise.

MoE Pros:

- Can be much larger and be trained longer
- Faster token generation

MoE Cons:

- Larger vram requirements
- Harder to train

--------

Lmk if there's anything i'm wrong with or missing

[The Whizz AI @TheWhizzAI]

🚨BREAKING: Claude can now research like a Stanford PhD student.

Here are 9 insane Claude prompts that turn 40+ research papers into structured literature reviews, knowledge maps, and research gaps in minutes. (Save this)

[Ronald van Loon @Ronald_vanLoon]

From #AI Experimentation to AI Governance
by @ingliguori

#ArtificialIntelligence #MachineLearning #ML #DL

[TheNewPhysics @CharlesMullins2]

🚨 AI IS NOW DESIGNING QUANTUM CIRCUITS FASTER AND MORE EFFICIENTLY THAN HUMANS.

Researchers developed a new AI system that simultaneously chooses:
• the quantum gate structure
• the numerical parameters
• the optimization strategy
The result?
Much shorter and more efficient quantum circuit designs.

Why this matters:
Quantum computers are incredibly powerful… but today’s systems are fragile, noisy, and difficult to scale.

Shorter circuits mean:
• fewer errors
• faster calculations
• lower energy use
• more stable quantum operations
• more realistic real-world quantum computing
In simple terms:
AI is beginning to help build the architecture of future quantum intelligence itself.

This could accelerate:
• drug discovery
• material science
• cryptography
• advanced simulations
• artificial intelligence
• next-generation computing

The most fascinating part
Humans are now using AI to design systems that may eventually outperform human reasoning in certain domains.
We may be watching the first stages of machines helping engineer the future of computation.

Follow for more future physics and technology breakthroughs.

[Suryansh Tiwari @Suryanshti777]

Claude Code feels completely different once you install this.

Anthropic quietly released an official plugin called claude-code-setup and it basically turns Claude Code from “pretty good” into an actual AI dev environment.

It scans your project and recommends:

→ hooks
→ skills
→ MCP servers
→ subagents
→ automations

Then sets everything up step-by-step for you.

Most people are using Claude Code completely vanilla…

which is why their experience feels messy.

The real power comes from the ecosystem around it.

Install:

/plugin install claude-code-setup@claude-plugins-official

Bookmark this before you forget it.

[OpenAI Developers @OpenAIDevs]

We’re having way too much fun working through your feedback.

(Please, keep it coming.)

Keyboard shortcuts are now customizable.

Set Codex up around how you actually work, then tweak shortcuts from settings instead of adapting to our defaults.

[$PNXP @executivebots]

The meeting that should have been an email. $PNXP The email that should have been an agent. https://t.co/0WQa8lruEN $NLST $SGMO $AMFN $CGEH $HGRAF $KRKNF $SIVEF $TLOFF $WDOFF $MPJPY

[$PNXP @executivebots]

The Bench EP3-3of6, Meet AI Mary $PNXP

[$PNXP @executivebots]

You don't have 90 days to hire a CMO. $PNXP You have a launch on Friday. https://t.co/Z6gGljeWwC ships an AI CMO agent that runs campaigns, owns attribution, and answers Slack in the next 10 minutes. https://t.co/Z6gGljeWwC $CURLF $TCNNF $GTBIF $CRLBF $VRNO $GLASF $LKNCY $MPNGY $DIDIY $ADYEY