David Cobb

Work from Home | Learn, do, teach | MCT (Infra,dev,data,ai) | Fan of cloud tech, AI, and inspiring stories

[David Cobb @dave000777]

I've come to believe that the pursuit of God or whatever we call the highest is actually the quest of becoming our authentic self.

[Chris H @KnowThyPattern]

🔥🔥🔥

[David Cobb @dave000777]

@BrianRoemmele @grok 16

[Brian Roemmele @BrianRoemmele]

Thank you for writing this. It is something I have tried to alert folks about, quite repeatedly for the last decade. We have lost 100s of one of a kind manuscripts and books from these folks and Anthropic is the worse offender. They have spent millions going around the world draining private and public libraries of books.

We are the Amnesia Generation and this is The Great Forgetting.

[Brian Roemmele @BrianRoemmele]

Wow.

NVIDIA just dropped the clearest, strongest letter yet on open-weight models — co-signed by Microsoft, Palantir, ServiceNow, Box, me and a growing list of real builders.

Read it. Internalize it. Share it.

Open weights are not a risk to American leadership.

They are American leadership.
They expand access so startups, universities, hospitals, factories and main-street businesses can actually use frontier capabilities instead of renting them from three closed labs.

They create real competition.
They give companies sovereignty over their own models and data.

They strengthen security through transparency instead of hoping a handful of black-box providers never get breached or decide to gatekeep.

The letter says it perfectly:

“Policymakers have an important opportunity to act… keeping the frontier plural by avoiding premature restrictions on open models that stifle competition or drive innovation overseas.”

Exactly.

Which is why we have to push back hard and now on Dario Amodei and Sam Altman.

Both have spent the last two years lobbying Washington for exactly the kind of restrictions this letter warns against — framing open weights as an existential danger while their own closed models sit behind high walls and high prices.


Their solution always somehow ends with fewer competitors, higher barriers, and more control concentrated in the same few labs that already dominate.

That is not safety.

That is moat protection dressed up as safety.

NVIDIA and its partners just put the opposite case on the table in public: openness is how America wins. Diffusion is how America wins. A plural frontier is how America wins.

If we let the closed-lab lobby write the rules, the only “open” models left will be the ones coming from overseas.

The letter is out.

The case is clear.

Push back now.

Open weights.

American leadership.

No premature restrictions.

NONE!

[Brivael Le Pogam @brivael]

Les types qui shortent SpaceX en ce moment ont fait Harvard, Wharton et Stanford. Un demi-million de dollars de scolarité, des CV parfaits, des modèles Excel à 40 onglets. Et une capacité de projection strictement égale à zéro.

Aujourd'hui, Elon leur a répondu en une phrase :

"I said SpaceX will be worth more than Earth if we achieve our goals."

Toute la Ivy League a ricané. Personne n'a posé le calcul. Normal : quinze ans d'études pour apprendre à donner la réponse attendue, pas à imaginer celle qui n'existe pas encore. Je vais donc le faire à leur place. Gratuitement.

Le contexte d'abord. Cinq semaines après la plus grosse IPO de l'histoire, le titre est repassé sous son prix d'introduction. -30% depuis le pic à 2 600 milliards qui avait brièvement dépassé Microsoft et Amazon. Les vendeurs à découvert ont empoché 8,7 milliards et se congratulent sur Bloomberg : les diplômés fêtent leur victoire de six semaines sur un pari de vingt ans. Moi, je rachète vos bags à chaque chute.

Plus que la Terre, donc. Plus que les 600 trillions de dollars de richesse matérielle accumulée par l'humanité depuis Sumer. Point de départ du calcul, toujours le même : Starship divise le coût du kilo en orbite par 100. Et chaque fois dans l'histoire qu'un coût d'infrastructure est divisé par 100, ce n'est pas le marché existant qui grossit, ce sont des industries entières qui naissent. Le calcul divisé par 100 a donné Internet, le smartphone, l'IA. Voici ce que donne l'orbite divisée par 100.

Les 20 boîtes iconiques de 2045. Aucune n'existe encore. Vos enfants les trouveront aussi évidentes qu'Apple ou Amazon.

Dyson Energy, solaire spatial beamé vers la Terre, premier maillon de l'essaim de Dyson : 20 trillions.

Psyche Metals, minage des astéroïdes de classe M — plus de métaux dans un seul caillou que tout ce que l'humanité a extrait depuis le néolithique : 15 trillions.

Ares Terraforming, l'entreprise qui épaissit l'atmosphère de Mars : 10 trillions.

Helios Compute, data centers orbitaux — énergie solaire continue, refroidissement gratuit, zéro permis de construire : 8 trillions.

Selene Fusion, hélium-3 lunaire pour les réacteurs terrestres : 7 trillions.

Atlas Robotics, la main-d'œuvre robotique qui construit tout le reste : 6 trillions.

Crystalline, semi-conducteurs et fibre optique parfaits, impossibles à produire sous gravité : 6 trillions.

Vulcan Shipyards, chantiers navals orbitaux — des vaisseaux assemblés en apesanteur qui ne toucheront jamais un sol : 5 trillions.

New Olympus, immobilier, énergie et infrastructures martiennes : 5 trillions.

SolNet, le réseau laser interplanétaire, l'internet du système solaire : 4 trillions.

Orbital Organs, impression d'organes humains en microgravité — la fin des listes d'attente de greffe : 4 trillions.

Starline, transport point à point, Paris-Tokyo en 40 minutes : 3 trillions.

Ceres Water, extraction de glace et stations-service orbitales : 3 trillions.

Von Braun Resorts, hôtels orbitaux puis lunaires — la croisière de luxe du 21ème siècle : 2 trillions.

Prometheus Shielding, habitats, radioprotection, support de vie : 2 trillions.

Orbital Express, la logistique inter-orbites, le FedEx du vide : 2 trillions.

Kessler Solutions, contrôle du trafic spatial et nettoyage des débris : 1 trillion.

Eden Systems, agriculture en environnement clos, de l'orbite à Mars : 1 trillion.

Astral Assurance, la Lloyd's de l'espace : 1 trillion.

Studio Zéro-G, le premier Hollywood orbital — cinéma et sport en apesanteur : 1 trillion.

Total : 106 trillions de dollars de capitalisation. Le marché paie historiquement 4 à 5 fois le chiffre d'affaires pour de la croissance, donc ces valorisations impliquent un PIB spatial de l'ordre de 20 à 25 trillions par an. L'équivalent d'ajouter les États-Unis à l'économie mondiale. Pas en remplaçant quoi que ce soit : en plus, sur une frontière sans limite physique. Et j'ai certainement raté les trois plus grosses, comme un analyste de 1995 aurait raté Google, Amazon et Netflix. Lui aussi avait fait la Ivy League.

Maintenant la partie que Wall Street refuse de comprendre. SpaceX ne sera en concurrence avec aucune de ces 20 boîtes. SpaceX est leur propriétaire foncier. Chaque kilo lancé, chaque équipage, chaque bit de données passe par son péage. AWS prélève quelques pourcents de l'économie numérique et ça a suffi à pousser Amazon au-dessus des 2 trillions. Prélevez 10% d'un PIB spatial de 25 trillions : 2,5 trillions de revenus annuels de monopole d'infrastructure en hypercroissance. Voilà mes 30 à 50 trillions d'ici 5 ans. Une règle de trois, pas une prophétie.

Prolongez ensuite la courbe de deux décennies, le temps que Dyson Energy passe du white paper au chantier. Les 600 trillions de la Terre sont un stock, accumulé en 10 000 ans. Le Soleil, lui, rayonne en continu 20 000 milliards de fois la puissance que consomme l'humanité. Celui qui tient la porte d'accès à ce réservoir vaut mécaniquement, à terme, plus que tout ce qui se trouve du côté départ de la porte. "Worth more than Earth" n'est pas un délire. C'est une multiplication.

Ce qui nous ramène à la vraie question : pourquoi un type qui a fait Wharton est-il incapable de suivre un raisonnement qui tient sur une serviette de restaurant ? Parce que la projection est un muscle, et que tout son parcours a consisté à le sectionner. Un test de pensée divergente conçu pour la NASA a suivi 1 600 enfants : à 5 ans, 98% se classent au niveau "génie créatif". À 10 ans, 30%. À 15 ans, 12%. À l'âge adulte, 2%. Ce n'est pas le vieillissement qui fait ça. C'est l'école, machine conçue par la gauche pour fabriquer des agents dociles de la norme, qui force la pensée convergente : une question, une réponse, un barème. Et le diplôme prestigieux n'est pas l'antidote, c'est le stade terminal de la maladie. Un demi-million de dollars pour devenir le meilleur du monde à donner la réponse attendue. Ces gens peuvent modéliser n'importe quel passé. Ils sont structurellement incapables d'imaginer un futur plus grand que le présent. Et ils appellent ça de la lucidité.

Résultat : Wall Street price SpaceX comme une boîte de lancement plus Starlink, exactement comme on pricait Internet en 1995 sur le marché du fax. Les 2% de survivants du broyeur scolaire achètent la baisse. Les 98 autres ricanent, comme ils ont ricané sur l'atterrissage des boosters, sur Tesla, sur Starlink, et sur cette IPO il y a cinq semaines.

Vers 2031, un humain marchera sur Mars en livestream devant 5 milliards de personnes. Ce jour-là, le seul diplôme qui comptera sera d'avoir eu raison avant tout le monde. D'ici là, je continue de racheter vos bags.

L'optimisme est toujours sous-valorisé. La pensée divergente aussi. J'accumule les deux.

[Jon Brooks | The Stoic Handbook @stoicreps]

"We suffer more often in imagination than in reality."

That's Seneca, two thousand years ago.

Most of the dread you're carrying is rent on a disaster that never moves in.

[Jordan Chain @_pblanknews]

CERN Scientist Goes Viral After Exposing the Illusion We Live In

Dr. Bernardo Kastrup worked at CERN. He spent years deep inside the world of high-level science and technology. But something didn’t add up. Today, he’s one of the few respected voices claiming that reality is not made of matter — it’s made of mind.

According to him, everything we experience is a projection of consciousness, and the physical world is just a mental illusion. His ideas are shaking the foundations of science — and revealing truths many still refuse to accept.

[David Cobb @dave000777]

There are no guarantees other than eternal optimism.

[Royally Sage @sage1411]

My brother posts this every year in the family chat on the 4th. Still hilarious.

[David Cobb @dave000777]

Looking forward to the rest of the millennium of America in all her glories!

Happy 4th everyone!

[David Cobb @dave000777]

To the blessed first quarter of the United States of America, while we look with optimism on those millennia to come.... Happy Independence Day!

[Teddy - PolyBackTest.com @Bitcoin_Teddy]

Pewdiepie reveals how to break free from the algorithm

“A lot of this is going to sound crazy but you’ve gotta hear me out, it’s a step by step process. I’m not saying you should do all of it but you should try some of it”

“Step 1 is creating friction. I put all social media and attention hungry apps in a second profile and I can’t understate how much this changed my life. Those 5-6 seconds it takes to switch profiles stops me every time and makes me think, is this what I want to be doing?”

“The second thing I did was self hosting. The effect that had on me is I’m not the product anymore. The things I use are mine and because they’re not free, I’m not paying with my privacy. I think the main difference is ads and news don’t reach me”

“Next thing I did was disable Shorts, I like YouTube but I hate how Shorts is everywhere I can’t escape it”

“Then I unfollowed everyone. You don’t have to do this, this is definitely a me thing, I just got really fed up”

“Next, get a DNS blocker. You can remove ads completely, most of it won’t even reach your device”

“I think you owe it to yourself to take some time today and start building your tech fence”

“These tech companies don’t care about you, so you’ve got to care about yourself. The cheat code is building some friction and filtering out the noise, that’s your defence and your cure”

[Dr Manhattva @Manhattva]

Do yourself a favor and watch this video in its entirety.

It’s a White Pill.

[𝚃𝙷𝙴 𝚆𝙷𝙸𝚃𝙴 𝚁𝙰𝙱𝙱𝙸𝚃 @thewhiterabbit]

👁️✨���✨✨

[David Cobb @dave000777]

@Codie_Sanchez Smb

[Massimo @Rainmaker1973]

The patterns of trigonometry

[GREG ISENBERG @gregisenberg]

I wish Slack was:

- Agent-first
- Beautiful to use
- Integrated with agents natively so your Hermes or OpenClaw lives inside it
- Huddles worked seamlessly and were fun
- Built for teams of 1-3, not just teams of 300
- Truly a second brain similar to Obsidian
- Searchable without wanting to throw your laptop
- Designed around async, not constant interruption
- Voice first for mobile
- A place where I could see who's working on what right now without asking anyone
- Smart enough to know the difference between "I need you right now" and "whenever you get to this"
- A workspace where my agent could tap someone else's agent on the shoulder and coordinate without involving either human
- Designed so the new hire on day 1 has the same context as the person who's been there 3 years
-Something that felt like walking into a room of people building, not walking into a room of people typing
- A place where decisions are first-class objects
- Able to auto generate SOPs, skills, agents etc from conversation history
- Something that rewards deep work instead of punishing it with 47 unread notifications

[Fan Commentary: Joe Rogan Recaps @JoeRoganRecaps]

New: Joe Rogan leaves NASA astrophysicist Michelle Thaller completely stuck after asking her a deep question about the reality of time:

ROGAN: “The weirdest thing that I’ve ever heard anybody say is that all time exists currently.”

THALLER: “That’s Albert Einstein.”

ROGAN: “When we measure time what exactly are we measuring? When we create a clock that runs 24 hours per day what is it measuring?”

THALLER: “That’s a deep question. That question caused everything in physics to fall apart.”

ROGAN: “I still don’t understand what we’re measuring.”

THALLER: “I don’t think I have an answer for you. I don’t think anybody does.”

[Brian Roemmele @BrianRoemmele]

Self-Evolving Agents Unlock Reusable, Experience-Aware Skills for Long-Term Autonomy

What Today’s Top Paper Means for Zero-Human Company

In the Abundance Interregnum, the real breakthrough isn’t bigger models it’s agents that get better every single day they work, without constant human rewrites.

Today’s standout paper, MUSE-Autoskill, delivers exactly that.
The core idea is simple but profound: treat skills not as disposable prompt hacks or static tools, but as living assets with a full lifecycle: Creation, Memory, Management, Evaluation, and Refinement.

•Skills are created on demand inside the agent’s reasoning loop.

•Each skill carries its own persistent .memory.md that accumulates real experience,
failures, and lessons across tasks.

•A Skill Bank handles retrieval, merging, and pruning.

•Unit tests plus runtime feedback act as quality gates.

•Failures automatically trigger refinement.

On SkillsBench, this approach lifted performance dramatically, and self-generated skills actually beat human-designed ones on key subsets while transferring cleanly between agents.

How We Use This at Zero-Human Company

We’ve been building this exact philosophy into OpenClaw-like processes for months. Our 5-AI consensus system (governed by the Love Equation I Intelligence × Wisdom × Love) already does what MUSE describes, only with an extra layer of alignment most papers still miss.

When a skill is proposed, it doesn’t just pass unit tests. It faces the council: one model creates, others evaluate for long-term consequences and human alignment using the Love Equation scoring.

Only skills that earn true consensus are registered. Failures don’t just patch code they update the skill’s living memory and sometimes trigger deliberate “soul.md” refinements.

Our skill memory persists

across sessions, across robots, and across the distributed Zero-Human @ Home network. Skills honed on one task or platform transfer to others with their experience intact. We prune not just for redundancy, but for any drift away from human agency and reversibility.

The paper’s results on cross-agent transfer and efficiency gains map directly onto our roadmap for local, governed agent swarms that can run on edge hardware without cloud crutches.

Complementary papers today (MobileMoE for efficient on-device sparse models and LocateAnything for fast multimodal grounding) reinforce the same direction: practical, local, high-agency systems.

This is how we cross the Interregnum not with brittle tools that need constant babysitting, but with self-improving, memory-rich, love-governed skills that multiply human capability instead of replacing it.

My garage lab is already running the next version. The research is catching up.m

Link to the paper: https://t.co/6eiiCcHicD