syst3m3

to where? much further. all seems connected. interested in open source software, quantum physics and biology and markets

[syst3m3 @syst3mthree]

IANAHB part 2 still 🔥

[syst3m3 @syst3mthree]

@pmarca Just like humans. Average question, average response.

[syst3m3 @syst3mthree]

Who needs a PhD when you have Grok?

#QuantumPhysicsMadeEasy #Grok2

[syst3m3 @syst3mthree]

“Imagine a vibrant digital landscape composed of interconnected nodes and glowing pathways. At the center, a dynamic, pulsating core represents the AI’s processing hub, with streams of data flowing in and out like rivers of light. Surrounding this core, fractal patterns evolve and shift, symbolizing continuous learning and adaptation. The background is a gradient of deep blues and purples, dotted with constellations of data points, giving the impression of an infinite expanse of knowledge.”

AI self reflection.

[syst3m3 @syst3mthree]

@curtlanglotz @jeremyphoward Feels like it could improve with tool calling? Wonder if it’s just the LLM itself which really isn’t going to be enough on its on for a while

[syst3m3 @syst3mthree]

@kazonomics Thank you for sharing

[syst3m3 @syst3mthree]

@paulg Hard to blame the stores. Maybe just convenience.

[Will Manidis @WillManidis]

it’s crazy to imagine what life must be like inside of these zirp zombie companies

you raised a couple billion bucks at top of cycle, you have decades of runway left, the product hasn’t grown in 2 years, the company is worth maybe 1/5th of the capital invested

What do you do?

[syst3m3 @syst3mthree]

Biggest blocker to AI adoption is how lazy people are

[syst3m3 @syst3mthree]

More devs and their financiers crying hard in the comments that’s some interesting sentiment on a single poast

[Chris Paik @cpaik]

The End of Software

https://t.co/JWg6QYqLzO

[syst3m3 @syst3mthree]

The absolute mental gymnastics today by software devs on my timeline
is 🤣🤣🤣

Same folks who said artists need to adapt now crying about AI taking their job on X

Net positive for the world. And if not fuck it “adapt” 🤣

[John Greenewald, Jr. @theblackvault]

DARPA-Funded Research Leads to Quantum Computing Breakthrough

Harvard-led team develops novel logical qubits to enable scalable quantum computers

A team of researchers working on DARPA’s Optimization with Noisy Intermediate-Scale Quantum devices (ONISQ) program has created the first-ever quantum circuit with logical quantum bits (qubits), a key discovery that could accelerate fault-tolerant quantum computing and revolutionize concepts for designing quantum computer processors.

The ONISQ program began in 2020 seeking to demonstrate a quantitative advantage of quantum information processing by leapfrogging the performance of classical-only supercomputers to solve a particularly challenging class of problem known as combinatorial optimization. The program pursued a hybrid concept to combine intermediate-sized “noisy”— or error-prone — quantum processors with classical systems focused specifically on solving optimization problems of interest to defense and commercial industry. Teams were selected to explore various types of physical, non-logical qubits including superconducting qubits, ion qubits, and Rydberg atomic qubits.

The Harvard research team, supported by MIT, QuEra Computing, Caltech, and Princeton, focused on exploring the potential of Rydberg qubits, and in the course of their research made a major breakthrough: The team developed techniques to create error-correcting logical qubits using arrays of “noisy” physical Rydberg qubits. Logical qubits are a critical missing piece in the puzzle to realize fault-tolerant quantum computing. In contrast to error-prone physical qubits, logical qubits are error-corrected to maintain their quantum state, making them useful for solving a diverse set of complex problems.

Harvard has built quantum circuits with around 48 Rydberg logical qubits to date in their laboratory, the largest number of logical qubits in existence. Rapidly scaling the number of logical qubits is anticipated to be relatively straight forward thanks to the nature of Rydberg qubits and how they can be manipulated.

“Rydberg qubits have the beneficial characteristic of being homogenous in their properties – meaning each qubit is indistinguishable from the next in how they behave,” said Dr. Mukund Vengalattore, ONISQ program manager in DARPA’s Defense Sciences Office. “That’s not the case for other platforms such as superconducting qubits where each qubit is unique and therefore not interchangeable. The homogeneity of Rydberg qubits allows them to scale rapidly and also allows them to be manipulated and moved around easily using lasers on a quantum circuit. This overcomes the current error-prone methods of performing qubit operations by having to connect them sequentially, which propagates errors throughout the chip. It’s now possible to imagine dynamic reconfiguration of qubits on a quantum chip, where you’re no longer limited to a sequential process of running quantum circuits. Now, you can bring entire collections of qubits, all of them, from one place in the circuit to another place on the circuit using laser tweezers, run an operation, and then put them back where they were originally. Dynamically reconfigurable and transportable Rydberg logical qubits open up completely new concepts and paradigms for designing and building scalable quantum computing processors.”

“If anyone had predicted three years ago when the ONISQ program began that Rydberg neutral atoms could function as logical qubits, no one would have believed it,” said Dr. Guido Zuccarello, a DARPA technical adviser who has supported the ONISQ program since its start in 2020. “It’s the DARPA way to bet on the potential of these less-studied qubits along with the more well-studied ions and superconducting circuits. As an exploratory program, ONISQ gave researchers the leeway to explore unique and new applications beyond just the optimization focus. As a result, the Harvard-led team was able to leverage much more of the potential of these Rydberg qubits and turn them into logical qubits, which is a very significant discovery.”

While it’s anticipated that at least an order of magnitude greater than 48 logical qubits will be needed to solve any big problems envisioned for quantum computers, the Rydberg logical qubit breakthrough casts new light on the traditional view that millions of physical qubits are needed before a fault-tolerant quantum computer can be developed. Given the prospect of dynamically reconfigurable quantum circuits, it’s too early to say how many logical qubits are needed to solve a particular problem; but it potentially could be far fewer than originally thought.

A focus of DARPA’s various quantum programs dating back to the early 2000s has been to build bridges between the quantum sensing and quantum information science research communities, which traditionally have been siloed. DARPA has helped bring these communities together to advance understanding of how to control and manipulate quantum states at extremely high levels of precision.

“ONISQ research teams could build upon a rich toolbox of quantum knowledge developed across multiple DARPA quantum sensing and quantum information science programs over the past several years,” Vengalattore said. “This toolbox included deep fundamental and technical insights from many DARPA programs, including OLE [Optical Lattice Emulator], QuASAR [Quantum-Assisted Sensing and Readout], ATN [All Together Now], and DRINQS [Driven and Nonequilibrium Quantum Systems].”

Vengalattore emphasized that bringing together the quantum sensing and quantum information science communities under ONISQ allowed for the application of Rydberg quantum sensing knowledge to a quantum computing challenge at a pace that few could have anticipated even a few years ago.

“This merging of research fields building on results from a series of preceding DARPA-led quantum efforts helped facilitate the discovery that Rydberg atoms can be used to create error-corrected, logical qubits,” Vengalattore said. “As exciting and transformative as these results are, we see this as a stepping stone towards a longer-term vision of actualizing disruptive pathways to error-corrected quantum computing and other areas of quantum technology.”

Technical details of the Harvard team’s breakthrough were published in a paper in Nature Magazine on Dec. 6, 2023: https://t.co/t4laLdhcgc

[syst3m3 @syst3mthree]

@chrismanfrank Any plans for content for pre-K ages for tutor?

[syst3m3 @syst3mthree]

@ChazForsman @RTFKTConne I’m not a lawyer. Just my understanding of reading the terms. This is super concerning to see play out as a Clone X holder.

[syst3m3 @syst3mthree]

@ChazForsman @RTFKTConne It’s pretty clear. 10d. “After such transfer, your right to display and perform the RTFKT-Owned Content and all other license rights under these Terms will immediately terminate (without the requirement of notice).” https://t.co/v3HUyJWGVd

[syst3m3 @syst3mthree]

#quantumbiology #circadian

[syst3m3 @syst3mthree]

Amazing. Apple knows. Lots of the announcement event outdoors too. New HQ lots of indoors outdoors spaces. All in plain sight.

Vision Health
Myopia, or nearsightedness, is the leading cause of vision impairment globally. To reduce the risk of myopia, the International Myopia Institute recommends children spend at least 80-120 minutes a day outdoors. With watchOS 10, Apple Watch introduces the ability to measure time spent in daylight using the ambient light sensor. Users can view this information in the Health app on iPhone or iPad.
Time spent in daylight can provide additional benefits to physical and mental health for all ages. And children who do not have their own iPhone can use Family Setup to pair their Apple Watch to their parent’s iPhone, giving parents visibility into the amount of time their kids are spending in daylight with Health Sharing.

[syst3m3 @syst3mthree]

https://t.co/YDMlFyuYiw