$PNXP @executivebots

News Out!!! otcmarkets.com/stock/PNXP/new… AI Gestural Software Development $PNXP $WNBDD $GRLF #AI #Grok #Claude #Deepseek #Chatgpt

GestureTek Legacy - World Class. Early GestureTek innovations were licensed to Sony’s PlayStation EyeToy and Microsoft’s Xbox camera systems. Our technology DNA (and relationships) now drive development of our next generation Gestural Intelligence™ $WNBD #GestureTek #AI #TechHistory

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In 2019, a small team of engineers with an outsized vision founded NEURA with the mission to change the way humans and machines work together. Last week, we reached our biggest milestone yet: a landmark Series C financing with a total round size of up to $1.4 billion to accelerate our mission of building the world’s leading Physical AI platform. Read the full story here: neura-robotics.com/series-c/

AMD CEO LISA SU JUST QUIETLY KILLED $400/MONTH IN OPENAI AND CLAUDE CODE WITH ONE BOX RUNNING A 235B MODEL amd's ryzen ai max+ 395 is the first x86 chip that runs a 200 billion parameter model on a single piece of silicon with 128gb of unified memory the gmktec evo-x2 runs qwen3 235b fully, deepseek v3 comfortably and llama 3.3 70b with headroom. on linux you get 110gb of usable vram out of 128gb amd claimed the chip beat an nvidia rtx 5080 by more than 3x on deepseek r1 inference. a lunchbox sized pc outrunning a $1,000 discrete gpu on a real ai workload a heavy ai user pays $200 for claude code max, $200 for chatgpt pro, $20 for cursor and $20 for gemini. that's $5,280 a year and the box pays itself off in 9 to 10 months ollama installs in one command and claude code points at localhost so nothing leaves the machine and nothing costs per request bookmark this and read the article below

starmex @starmexxx

2 weeks ago

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Anthropic engineer: "If you're not running agents yet, you're losing hours on work that takes minutes." In 29 minutes he breaks down, why agents collide and what it takes to make them work as 1 team in Claude. Watch the full talk, then save the exact setup below 👇

rody @0x_rody

2 weeks ago

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GESTRURE AI interesting

Winning Brands @GestIntel

2 weeks ago

GestureTek™️ has deep experience. 60+ patents and 35+ years of gesture controlled interactive innovation. We were the category pioneer, now fusing with today’s and tomorrow’s AI = Gestural Intelligence™ $WNBD #GestureTek #Patents #AI

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Hmmmm Gesture Intelligence, intresting $WNBD $PNXP $GROO

Winning Brands @GestIntel

2 weeks ago

Many changes underway. OTC News update Monday June 15th.

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🚨$PNXP & $GRLF News Alert🚨 otcmarkets.com/stock/PNXP/new…

$PNXP For 100 years the org chart was a hiring problem. It's now an API call. executives.bot — autonomous CFO, CMO, COO, CTO agents that operate on your stack. The org chart is over. Welcome to the agent stack. executives.bot $NGLOY $GLNCY $ANGPY $SRUUF $RWEOY $ENGIY $IBDRY $SSEZY $ATLKY $AIQUY

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 executives.bot. Deploy CFO / CMO / COO / CTO agents in an afternoon. executives.bot $RHHBY $BAYRY $CSLLY $CHGCY $AAGIY $ITOCY $DTEGY $KDDIY $SCGLY $DSDVY $PNXP

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. executives.bot. The gap compounds daily. executives.bot $BYDDY $MBGYY $MHVIY $RYCEY $BAESY $RNMBY $SAFRY $EADSY $SMERY $SIEGY

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. executives.bot ships that. As an agent. Tonight. executives.bot $IFNNY $ATEYY $TOELY $DSCSY $ABBNY $SBGSY $FANUY $ASAZY $DKILY $SHECY

Human C-suite vs. executives.bot: 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. executives.bot $SFTBY $PROSY $TGOPY $RCRUY $CFRUY $LVMUY $HESAY $IDEXY $ESLOY $DBSDY

executives.bot $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. executives.bot $NTDOY $TCEHY $XIACY $KXIAY $FJTSY $HTHIY $TTDKY $MRAAY $MIELY $HOCPY

🚨 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.

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

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

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

🚨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)