Are there any limitations to what AI can accomplish?

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My coding activities are minimal nowadays, but I have been experimenting with a small group of Arduinos (evidently, like for crows, the plural for an Arduino is a “murder”). My C skills are incredibly rusty, and ChatGPT has proved to be an unexpectedly useful tool for programming and debugging. Having the ability to input a plethora of code, in addition to the error message the compiler provides, just for the robots to inform me that (1) I truly should not be programming and (2) how to rectify my newbie mistakes has been quite refreshing.

It will not be surprising to anyone paying attention that the vast multitude of upcoming startups in the AI sector indicates that the AI influence is spreading far and wide.

The truly astounding thing is how early we are in our AI journey. The current-gen technology is the technological equivalent of a toddler, and all the mediocre feedback various generative AI software is receiving is comparable to evaluating a fish by its ability to climb a tree.

“I’m amazed that nobody has created a parody of actually critiquing a three-month-old baby, indicating that all it does is soil itself and cannot complete full sentences,” Steve Blank mentioned in an interview with TechCrunch last year. “Copilot has transformed the life of every programmer, period. It has likely enhanced productivity by 50%, and that is even if you are utilizing it inadequately.”

I am eager to witness the direction it’s all taking.

On that observation . . .

It’s all AI, all the time

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FlowGPT emerges as the digital representation of the Wild West, a place where the law is more of a suggestion and safety measures are those bothersome things you click past to get to the good stuff. Founded by a duo who seemingly determined that what the world truly required was a marketplace for AI applications that range from the slightly useful to the potentially deceitful, FlowGPT is the playground for anyone who thought, “Yes, I do require an application that narrates horror stories as if I’m a frightened girl from a film, but also, can it teach me how to code malware?” Investors, in a move that exudes “What could possibly go wrong?” have invested $10 million in the endeavor, proving once again that in the tech realm, ethics can be as adaptable as your funding is secure.

Inkitt observed the dwindling reading habits of society and said, “Challenge accepted.” With a daring plan to become the Disney of the 21st century, they’re allocating $37 million to the issue, because why not? The company’s approach? Employ AI to sift through self-published stories on their application, identify the ones that exude potential, and then adjust them into bestsellers.

AI will construct your website: While Wix and Squarespace dominate with their user-friendly drag-and-drop interfaces, 10Web, from Armenia, emerges aiming to control the behemoth that is WordPress.

AI will scan your news for you: Particle.news, the brainchild of ex-Twitter engineers, is stepping into the ring with a fresh perspective on digesting the news. With $4.4 million in seed funding in hand, they have a vision to offer a “multi-perspective” news reading experience.

AI will program for you: StarCoder 2 is a family of models, boasting up to 15 billion parameters and trained on a whopping 67.5 terabytes of data. StarCoder 2 is trained on approximately 619 programming languages.

Most fascinating fundraises this week

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Fervo Energy is ensuring the geothermal sector is warming up, raising $221 million as it pioneers deep into Earth’s crust to harness its heat. This Houston-based enterprise is leveraging directional drilling techniques, a legacy from the oil and gas industry, to significantly extend the reach of its wells. By outfitting these wells with fiber-optic cables and an array of sensors, Fervo is mapping subsurface heat patterns and monitoring well performance with unprecedented precision.

Initia is entering the blockchain scene with a daring goal to address the notorious complexity and fragmentation plaguing the development of blockchain applications. The company aims to bridge the gap between the multichain universe and app-specific blockchains, offering a streamlined approach to interoperability and simplification. The company’s approach seeks to remove the technical barriers for app developers, aspiring to become the App Store of the crypto world, where accessing and building applications is as straightforward as possible. With a recent $7.5 million seed financing, the company is going heavy on the accelerator.

Money for photos: Photoroom, a Paris-based AI photo-editing app, has successfully closed its latest funding round, securing $43 million at a $500 million valuation.

Money for money: Embat has successfully secured a $16 million Series A funding. The company aims to revolutionize the way finance teams operate by digitizing and automating processes such as accounting, bank reconciliation, and corporate treasury management.

Money for AI: Mistral AI announced a significant development in its journey with the unveiling of a new large language model named Mistral Large, aimed at competing with giants like OpenAI’s GPT-4. This announcement was

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