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Devin, SIMA, Figure 1, all in 24 hours. What does it mean and are AI models taking the wheel? I’ll go through 5 relevant papers and 11 articles to get you all the relevant details, from what exactly Devin accomplished, and didn’t, to DeepMind’s new AGI-attempt-in-3D (SIMA) to just how far AI agents have come and what that means for the future of jobs. They’ll also be a guest star … discussing … me?

AI Insiders [Exclusive videos, Discord, Interviews and More]: / aiexplained.

Continue reading “AI Agents Take the Wheel: Devin, SIMA, Figure 01 and The Future of Jobs” »

There is a new AI tool so smart that it can write code, create websites, and software with just a single prompt. Devin, created by the tech company Cognition, is the first AI software engineer. It can do pretty much everything you ask it to do. And the AI tool does not come with the intention to replace human engineers, it is designed to work hand-in-hand with them. The makers say that the AI tool has not been launched to replace human engineers but to make their lives easier.

“Today we’re excited to introduce Devin, the first AI software engineer. Devin is the new state-of-the-art on the SWE-Bench coding benchmark, has successfully passed practical engineering interviews from leading AI companies, and has even completed real jobs on Upwork. Devin is an autonomous agent that solves engineering tasks through the use of its own shell, code editor, and web browser,” Cognition posted on Twitter aka X.

Continue reading “World’s first AI software engineer Devin announced, it can write, code, create using single prompt” »

AI startup company Figure, which emerged from stealth last year, has unveiled the latest upgrades to its Figure 1 humanoid robot.

Founded in 2022 and publicly announced in March 2023, Figure is a California-based company with 80 employees that is building autonomous, general‑purpose humanoid robots. Its aim is to address labour shortages, fill jobs that are undesirable or unsafe for humans, and support a supply chain on a global scale.

Continue reading “Humanoid robot can do chores and hold conversations” »

A new generative artificial intelligence startup called Cognition AI Inc. is looking to disrupt coding with the launch of a new tool that can autonomously create code for entire engineering jobs, including its own AI models.

That tool’s name is Devin, and it takes the premise of GitHub Inc.’s and Microsoft Corp.’s Copilot developer tool much further, as it can carry out entire jobs on its own, rather than simply assist a human coder.

Continue reading “Cognition launches Devin, a generative AI-powered coding engineer” »

India has the lowest number of women in R&D jobs in the world, with less than 16.6% being women in 2018.

Artificial Intelligence (AI) and Deep Learning, with a focus on Natural Language Processing (NLP), have seen substantial changes in the last few years. The area has advanced quickly in both theoretical development and practical applications, from the early days of Recurrent Neural Networks (RNNs) to the current dominance of Transformer models.

Models that are capable of processing and producing natural language with efficiency have advanced significantly as a result of research and development in the field of neural networks, particularly with regard to managing sequences. RNN’s innate ability to process sequential data makes them well-suited for tasks involving sequences, such as time-series data, text, and speech. Though RNNs are ideally suited for these kinds of jobs, there are still problems with scalability and training complexity, particularly with lengthy sequences.

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When will AI match and surpass human capability? In short, when will we have AGI, or artificial general intelligence… the kind of intelligence that should teach itself and grow itself to vastly larger intellect than an individual human?

According to Ben Goertzel, CEO of SingularityNet, that time is very close: only 3 to 8 years away. In this TechFirst, I chat with Ben as we approach the Beneficial AGI conference in Panama City, Panama.

Continue reading “AGI in 3 to 8 years” »

Like Gates, Leslie doesn’t dismiss doomer scenarios outright. “Bad actors can take advantage of these technologies and cause catastrophic harms,” he says. “You don’t need to buy into superintelligence, apocalyptic robots, or AGI speculation to understand that.”

“But I agree that our immediate concerns should be in addressing the existing risks that derive from the rapid commercialization of generative AI,” says Leslie. “It serves a positive purpose to sort of zoom our lens in and say, ‘Okay, well, what are the immediate concerns?’”

In his post, Gates notes that AI is already a threat in many fundamental areas of society, from elections to education to employment. Of course, such concerns aren’t news. What Gates wants to tell us is that although these threats are serious, we’ve got this: “The best reason to believe that we can manage the risks is that we have done it before.”

The industrial innovation fund is seeking to invest in start-ups that can support the ecommerce group’s aims of becoming “more efficient, safer for our associates, and increase the speed of delivery to our customers.” Bossart said.

She said the Amazon fund would expand its focus this year, including by seeking to invest in companies involved in the “last mile” of deliveries, when packages arrive with customers, as well as geographically and in later-stage companies. However, Bossart would not be drawn on how much the fund has deployed so far, declining to comment on a report it has invested $110 million as of June.

The focus on the automation of warehouses and logistics was not about cutting people out of them altogether, but would result in a “shift in jobs” as more robots and automated vehicles took on repetitive or dangerous tasks, she said. “We’re also a long way off from replacing all humans,” she added.