#quantum computing

AI is Going to Take Over the World… Or Is It?

The rise of artificial intelligence (AI) has sparked widespread excitement — and fear. Will AI revolutionize our lives for the better, or are we headed toward a dystopian future straight out of a science fiction novel?

Interestingly, this question isn’t entirely new. Nearly a century ago, visionary writer Isaac Asimov introduced what became famously known as the “Three Laws of Robotics”:

Now, to remind our younger generation (who may not know this yet, as Marvel hasn’t made movies about it), these laws state:

A robot may not injure a human being or, through inaction, allow a human being to come to harm.

A robot must obey the orders given it by human beings except where such orders would conflict with the First Law.

A robot must protect its own existence as long as such protection does not conflict with the First or Second Law.

Later, Asimov introduced an even more profound concept — Law Zero:

A robot may not harm humanity, or, by inaction, allow humanity to come to harm.

Fast forward to today — roughly 90 years after Asimov began exploring these ideas — and humanity now faces real-life implications of AI. We interact daily with AI systems designed to simplify our tasks, manage our schedules, and even help us trade cryptocurrencies profitably.

AI Today: Expectations vs. Reality

Despite its impressive capabilities, general-purpose AI frequently falls short when it comes to tasks requiring precision and strict adherence to instructions. Users often encounter frustration, instructing the AI to “modify exactly THIS letter” or “calculate THAT complex formula,” only to receive unexpected, arbitrary results. Even when following iterative refinement processes — as recommended by many AI systems — results are often inconsistent and unsatisfactory.

An earlier workaround, such as using one AI tool to instruct another, is also becoming increasingly ineffective. AI tools now seem to have an in-built confidence (or stubbornness?) in knowing what’s best — even when explicitly instructed otherwise.

So, should we be worried?

Custom-Built AI: The Silver Lining?

Ironically, the limitations of general-purpose AI have opened the door to specialized, custom-built AI solutions. Unlike broad-spectrum AI, these specialized systems handle complex tasks — like analyzing hundreds of crypto indicators to generate precise trading signals (SignalCLI, as an example) — with remarkable accuracy, consistency, and reliability. They meticulously follow instructions, avoid arbitrary changes, and adapt dynamically through sophisticated self-learning processes. But exploring the potential of custom-built crypto signal platforms is another story altogether. For now, let’s return to the central question: Should we be worried? Does our growing dependence on general-purpose AI make us, well, not-so-smart after all?

AI: Empowering or Weakening Human Intelligence?

The debate surrounding AI’s impact on human intelligence is diverse. Some critics argue that AI “makes us stupid,” citing anecdotal evidence of students passing exams solely due to AI assistance. Others maintain that AI’s effectiveness ultimately depends on the intelligence of its user — essentially, how well a human directs the AI.

A Crypto Parallel

Let’s draw a parallel with cryptocurrency. The idea of digital currency isn’t new; some argue it’s a concept nearly 40 years old. Yet, Bitcoin officially launched in 2009 — just over 15 years ago — and has rapidly become a major force in global finance. Within less than two decades, crypto transformed from niche digital experimentation to a heavily regulated, widely accepted financial asset class.

Similarly, AI today might still be in its relative infancy. Despite its widespread application, we haven’t fully understood its ultimate potential or ramifications. If crypto’s journey is any indication, AI technology may undergo similar accelerated growth and profound impact within the next few decades.

Should We Expect the Terminator?

Not quite yet. While AI has made significant strides, it is still fundamentally dependent on human-developed rules, parameters, and limitations. Even sophisticated AI requires continuous human oversight, especially to navigate tasks that involve nuanced judgment or ethical considerations.

Yet, the next frontier — quantum computing — might drastically alter AI capabilities. Quantum computing could unlock previously unimaginable processing power, vastly amplifying AI’s potential. This leap could, in theory, accelerate AI’s autonomy to unprecedented levels.

And that’s precisely why Asimov’s laws (including the profound “Law Zero”) must be considered deeply and embedded rigorously within AI development. Without careful guidelines, we risk unintended consequences far beyond simple miscalculations or incorrect edits.

Conclusion: A Responsible Path Forward

So, will AI take over the world? The answer lies in our collective approach. Like cryptocurrency’s evolution from speculative curiosity to regulated financial asset, AI’s future will hinge on thoughtful development, strict guidelines, and proactive oversight.

We aren’t headed toward a science-fiction apocalypse — at least not yet. AI remains a powerful tool, one capable of extraordinary good when carefully managed. But to keep it that way, it’s up to us to establish the right guardrails now, long before quantum computing takes AI into uncharted and possibly risky territories.

Good luck — and happy trading!

Previously, the maximum distance two quantum computers could connect through a fiber cable was a few kilometers. This means that, even if fiber cable were run between them, quantum computers in the University of Chicago's South Side campus and downtown Chicago's Willis Tower would be too far apart to communicate with each other. Research published today in Nature Communications from University of Chicago Pritzker School of Molecular Engineering (UChicago PME) Asst. Prof. Tian Zhong would theoretically extend that maximum to 2,000 km (1,243 miles).

Technomancy is a modern magickal practice that blends traditional occultism with technology, treating digital and electronic tools as conduits for energy, intent, and manifestation. It views computers, networks, and even AI as extensions of magickal workings, enabling practitioners to weave spells, conduct divination, and manipulate digital reality through intention and programming.

Core Principles of Technomancy

• Energy in Technology – Just as crystals and herbs carry energy, so do electronic devices, circuits, and digital spaces.

• Code as Sigils – Programming languages can function as modern sigils, embedding intent into digital systems.

• Information as Magick – Data, algorithms, and network manipulation serve as powerful tools for shaping reality.

• Cyber-Spiritual Connection – The internet can act as an astral realm, a collective unconscious where digital entities, egregores, and thought-forms exist.

Technomantic Tools & Practices

Here are some methods commonly utilized in technomancy. Keep in mind, however, that like the internet itself, technomancy is full of untapped potential and mystery. Take the time to really explore the possibilities.

Digital Sigil Crafting

• Instead of drawing sigils on paper, create them using design software or ASCII art.

• Hide them in code, encrypt them in images, or upload them onto decentralized networks for long-term energy storage.

• Activate them by sharing online, embedding them in file metadata, or charging them with intention.

Algorithmic Spellcasting

• Use hashtags and search engine manipulation to spread energy and intent.

• Program bots or scripts that perform repetitive, symbolic tasks in alignment with your goals.

• Employ AI as a magickal assistant to generate sigils, divine meaning, or create thought-forms.

Digital Divination

• Utilize random number generators, AI chatbots, or procedural algorithms for prophecy and guidance.

• Perform digital bibliomancy by using search engines, shuffle functions, or Wikipedia’s “random article” feature.

• Use tarot or rune apps, but enhance them with personal energy by consecrating your device.

Technomantic Servitors & Egregores

• Create digital spirits, also called cyber servitors, to automate tasks, offer guidance, or serve as protectors.

• House them in AI chatbots, coded programs, or persistent internet entities like Twitter bots.

• Feed them with interactions, data input, or periodic updates to keep them strong.

The Internet as an Astral Plane

• Consider forums, wikis, and hidden parts of the web as realms where thought-forms and entities reside.

• Use VR and AR to create sacred spaces, temples, or digital altars.

• Engage in online rituals with other practitioners, synchronizing intent across the world.

Video-game Mechanics & Design

• Use in-game spells, rituals, and sigils that reflect real-world magickal practices.

• Implement a lunar cycle or planetary influences that affect gameplay (e.g., stronger spells during a Full Moon).

• Include divination tools like tarot cards, runes, or pendulums that give randomized yet meaningful responses.

Narrative & World-Building

• Create lore based on historical and modern magickal traditions, including witches, covens, and spirits.

• Include moral and ethical decisions related to magic use, reinforcing themes of balance and intent.

• Introduce NPCs or AI-guided entities that act as guides, mentors, or deities.

Virtual Rituals & Online Covens

• Design multiplayer or single-player rituals where players can collaborate in spellcasting.

• Implement altars or digital sacred spaces where users can meditate, leave offerings, or interact with spirits.

• Create augmented reality (AR) or virtual reality (VR) experiences that mimic real-world magickal practices.

Advanced Technomancy

The fusion of technology and magick is inevitable because both are fundamentally about shaping reality through will and intent. As humanity advances, our tools evolve alongside our spiritual practices, creating new ways to harness energy, manifest desires, and interact with unseen forces. Technology expands the reach and power of magick, while magick brings intention and meaning to the rapidly evolving digital landscape. As virtual reality, AI, and quantum computing continue to develop, the boundaries between the mystical and the technological will blur even further, proving that magick is not antiquated—it is adaptive, limitless, and inherently woven into human progress.

Cybersecurity & Warding

• Protect your digital presence as you would your home: use firewalls, encryption, and protective sigils in file metadata.

• Employ mirror spells in code to reflect negative energy or hacking attempts.

• Set up automated alerts as magickal wards, detecting and warning against digital threats.

Quantum & Chaos Magic in Technomancy

• Use quantum randomness (like random.org) in divination for pure chance-based outcomes.

• Implement chaos magick principles by using memes, viral content, or trend manipulation to manifest desired changes.

AI & Machine Learning as Oracles

• Use AI chatbots (eg GPT-based tools) as divination tools, asking for symbolic or metaphorical insights.

• Train AI models on occult texts to create personalized grimoires or channeled knowledge.

• Invoke "digital deities" formed from collective online energies, memes, or data streams.

Ethical Considerations in Technomancy

• Be mindful of digital karma—what you send out into the internet has a way of coming back.

• Respect privacy and ethical hacking principles; manipulation should align with your moral code.

• Use technomancy responsibly, balancing technological integration with real-world spiritual grounding.

As technology evolves, so will technomancy. With AI, VR, and blockchain shaping new realities, magick continues to find expression in digital spaces. Whether you are coding spells, summoning cyber servitors, or using algorithms to divine the future, technomancy offers limitless possibilities for modern witches, occultists, and digital mystics alike.

• his PhD thesis on DNA damage (vv cool; and a reminder on DNA reproduction even tho he taught me in grade six...I'm in college now lol)

• quantum computers

• project hail mary filming bts

• cell go squish

• finances (as usual), but specifically how to pay less taxes

State preparation (can't do that in QASM)

The ability to control non-unitary gates (can't do that in Cirq)

Have good structs (I'm looking at you Q#)

Can get the inverse of an arbitrary gate like a state prep (also can't do that in Cirq)

Can simulate a circuit and use GPU parallelism to speed up the process without having to download a WHOLE ANOTHER LIBRARY JUST FOR THE FUCKING GPU PARALLELISM NOT TO WORK (can't do that in Qiskit)