Lifeboat Foundation

From an emerging golden age in medicine to Microsoft’s quantum supercomputer, check out this week’s awesome tech stories from around the web.

“Learn to code.” That three-word pejorative is perpetually on the lips and at the fingertips of internet trolls and tech bros whenever media layoffs are announced. A useless sentiment in its own right, but with the recent advent of code generating AIs, knowing the ins and outs of a programming language like Python could soon be about as useful as knowing how to fluently speak a dead language like Sanskrit. In fact, these genAIs are already helping professional software developers code faster and more effectively by handling much of the programming grunt work.

Two of today’s most widely distributed and written coding languages are Java and Python. The former almost single handedly revolutionized cross-platform operation when it was released in the mid-’90s and now drives “everything from smartcards to space vehicles,” as Java Magazine put it in 2020 — not to mention Wikipedia’s search function and all of Minecraft. The latter actually predates Java by a few years and serves as the code basis for many modern apps like Dropbox, Spotify and Instagram.

They differ significantly in their operation in that Java needs to be compiled (having its human-readable code translated into computer-executable machine code) before it can run. Python, meanwhile, is an interpreted language, which means that its human code is converted into machine code line-by-line as the program executes, enabling it to run without first being compiled. The interpretation method allows code to be more easily written for multiple platforms while compiled code tends to be focused to a specific processor type. Regardless of how they run, the actual code-writing process is nearly identical between the two: Somebody has to sit down, crack open a text editor or Integrated Development Environment (IDE) and actually write out all those lines of instruction. And until recently, that somebody typically was a human.

Google testers now have the chance to check out another new Duet AI feature in Google Workspace. Starting today, they’ll see a new sidebar for Google Sheets. They can describe what they want to do and Duet AI can create a custom template to help them get the ball rolling.

According to Google, this could come in useful for those looking to carry out tasks that involve complex organization and tracking. The company suggests product roadmaps, company retreats and team budgets as potential use cases. If the feature works as intended, it could help save users a ton of time. It’s available in Workspace Labs for the time being.

Google has been quickly expanding the AI’s toolset since it announced Duet for Workspace at its I/O conference last month. When testers enter a prompt in the web version of Docs, Duet can generate text for them. It can automatically insert smart chips too.

A new kind of resonator has the ability to transmit quantum information using single photons from a silicon device tipped with a few dozen erbium atoms.

The quantum internet just got one step closer to reality thanks to a new breakthrough that allows the encoded quantum information to be transmitted over distance.

The quantum internet offers the promise of perfect information security on a quantum mechanical level in the transmission of information using qubits, which will decompose into random information if anyone were to try and intercept it.

Chat gpt 4 has near limitless potential for AI good and it helping so many coders already. It is much like the beginning of the star trek computer and Jarvis from Ironman. It is actually making quick work of all the coding tasks. The real potential is full automation where even work and society could evolve millions of years in seconds. For space exploration we could see it implemented for information of all kinds that is accurate. Eventually it really could be a star trek computer for space exploration. This will only get smarter and Eventually gaps of knowledge even from college level tasks can be easily done and beyond. Along with neuralink even humans could have accurate knowledge with chat gpt 4 including all known knowledge like the entire internet inside neuralink eventually. This could even help with guarding against the superintelligence if that were to happen. Also can even guard nations eventually from polymorphic malware. This tool is a definite force of AI good so stay tuned to chat gpt 4 and beyond.

Hold onto your hats! Microsoft has done it again with the announcement of GitHub Copilot X powered by GPT-4. This shiny new iteration offers many features that will make your pair programming experience feel like a walk in the park.

A Titanic-bound submersible is missing, but SpaceX’s Starlink is not responsible for the craft’s deep sea communications as some on the internet and in media have speculated.

That’s the ordinary matter of everyday life: your hair and clothes, your atoms and organs, the food you eat and the dogs that kiss you, the air and the sea, the Sun and the Moon. Everything we know — everything we see — is just 5% of everything in the Universe.

The remaining 95% of the Universe is stuff that we can’t see, don’t yet understand. An extraordinarily vast portion of the cosmos is still unknown. Despite the technological advancements of the last century, even with computers at our fingertips and the worldwide internet and space-based observatories mapping the far reaches of our Universe, there is still so much that we don’t understand.

We have grown leaps and bounds since the days of the ancient Greeks and Egyptians, even since Copernicus and Kepler. But in many ways, we are still novices playing with toy models seeking to understand the stars.

The sub disappeared on Monday, sparking a search for the vessel before it runs out of oxygen.

Optical data communications lasers can transmit several tens of terabits per second, despite a huge amount of disruptive air turbulence. ETH Zurich scientists and their European partners demonstrated this capacity with lasers between the mountain peak, Jungfraujoch, and the city of Bern in Switzerland. This will soon eliminate the necessity of expensive deep-sea cables.

The backbone of the internet is formed by a dense network of fiber-optic cables, each of which transports up to more than 100 terabits of data per second (1 terabit = 10¹² digital 1/0 signals) between the network nodes. The connections between continents take place via deep sea networks—which is an enormous expense: a single cable across the Atlantic requires an investment of hundreds of millions of dollars. TeleGeography, a specialized consulting firm, announced that there currently are 530 active undersea cables—and that number is on the rise.

Soon, however, this expense may drop substantially. Scientists at ETH Zurich, working together with partners from the space industry, have demonstrated terabit optical data transmission through the air in a European Horizon 2020 project. In the future, this will enable much more cost‑effective and much faster backbone connections via near-earth satellite constellations. Their work is published in the journal Light: Science & Applications.