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Adobe, once wary of how generative AI could disrupt its professional creative base, is now fully embracing the technology as a new frontier for augmented creativity. On Wednesday, the company announced it was taking its Firefly AI out of beta and rolling it out commercially across its Creative Cloud, Adobe Express, and Experience Cloud platforms.

As part of the rollout, Adobe launched a new Firefly web portal for AI experimentation, integrated Firefly capabilities directly into Photoshop and Illustrator, and added AI features to Express.


On Wednesday, Adobe announced it was taking its Firefly AI out of beta and rolling it out commercially across its Creative Cloud, Adobe Express, and Experience Cloud platforms.

Traditional semiconductor chip design typically begins with a lengthy and often arduous process of specification definition, RTL model creation and documentation, before engineering teams can set out on designing actual circuits. However, what if this IP creation and team-based design review phase could be cut down to a few weeks, rather than months, with literally hundreds of hours of design team meetings saved in the process?

This is the goal of a new “ChipGPT” type tool, that Cadence Design Systems is bringing to market, which employs Large Language Models and generative AI to do much of the heavy lifting in this early semiconductor definition and design verification phase.

As a new… More.


Generative AI has once again proven itself capable of alleviating semiconductor design teams from large portions of iterative optimization and verification work.

Sometimes when you dig into the technology underneath your favorite devices and applications, you almost wish you hadn’t.

Still, it’s good to get an idea of what hackers are doing, how teams are responding, and what’s going on with the mobile devices that we all rely on more and more with each new year. Some of that has an intersection with AI/ML, in ways that might surprise you.

Check out Adam Chlipala’s talk on modern methods: applying this sort of data science to the practice of computer programming is going to be pretty heavy for anyone who isn’t a coder.

Musk, Zuckerberg, Altman, Gates, and Huang were in attendance.

US lawmakers met with the who’s who of the tech industry on Wednesday to discuss regulations for artificial intelligence and potentially work towards a law that protects US citizens from the dangers of the technology.

In attendance were Tesla CEO Elon Musk, Meta CEO Mark Zuckerberg, Alphabet CEO Sundar Pichai, NVIDIA CEO Jensen Huang, Microsoft CEO Satya Nadella, IBM CEO Arvind Krishna, former Microsoft CEO Bill Gates, and AFL-CIO labor federation President Liz Shuler, reported Reuters.

Summary: Researchers have unearthed how human brains inherently perform calculations akin to high-powered computers through Bayesian inference, enabling precise, swift environmental interpretation. This statistical method melds prior knowledge and new evidence, permitting us to quickly and accurately discern our surroundings.

This study showcases how our brain’s visual system structure is innately designed to execute Bayesian inference on the sensory data it gathers. Such revelations promise breakthroughs in areas spanning from AI’s machine learning to novel therapeutic strategies in clinical neurology.

Large language model (LLM) AI chatbots may be able to outperform the average human at a creative thinking task where the participant devises alternative uses for everyday objects (an example of divergent thinking), suggests a study published in Scientific Reports. However, the human participants with the highest scores still outperformed the best chatbot responses.

Divergent thinking is a type of thought process commonly associated with that involves generating many different ideas or solutions for a given task. It is commonly assessed with the Alternate Uses Task (AUT), in which participants are asked to come up with as many alternative uses for an everyday object as possible within a short time period. The responses are scored for four different categories: fluency, flexibility, originality, and elaboration.

Mika Koivisto and Simone Grassini compared 256 ’ responses with those of three AI chatbots’ (ChatGPT3, ChatGPT4, and Copy. Ai) to AUTs for four objects—a rope, a box, a pencil, and a candle. The authors assessed the originality of the responses by rating them on semantic distance (how closely related the response was to the object’s original use) and creativity.

I hope this isn’t a duplicate but that’s amazing! I dunno if I shared the latest Google cloud security conference? It’s an hour and they’re using advanced AI and even collaborating with Israel I think.


After 17 medical consultations led to dead ends, a mother turned to ChatGPT for help. Then, AI came up with a diagnosis.

Self-driving car startup Wayve can now interrogate its vehicles, asking them questions about their driving decisions—and getting answers back. The idea is to use the same tech behind ChatGPT to help train driverless cars.

The company combined its existing self-driving software with a large language model, creating a hybrid model it calls LINGO-1. LINGO-1 synchs up video data and driving data (the actions that the cars take second by second) with natural-language descriptions that capture what the car sees and what it does.

Large language models are getting better at mimicking human creativity. That doesn’t mean they’re actually being creative, though.

AI is getting better at passing tests designed to measure human creativity. In a study published in Nature Scientific Reports today, AI chatbots achieved higher average scores than humans in the Alternate Uses Task, a test commonly used to assess this ability.

This study will add fuel to an ongoing debate among AI researchers about what it even means for a computer to pass tests devised for humans. The findings do not necessarily indicate that AIs are developing an ability to do something uniquely human. It could just be that AIs can pass creativity tests, not that… More.

Among the ideas discussed was whether there should be an independent agency to oversee certain aspects of the rapidly-developing technology, how companies could be more transparent and how the United States can stay ahead of China and other countries.

“The key point was really that it’s important for us to have a referee,” said Elon Musk, CEO of Tesla and X, during a break in the daylong forum. “It was a very civilized discussion, actually, among some of the smartest people in the world.”

Schumer will not necessarily take the tech executives’ advice as he works with colleagues on the politically difficult task of ensuring some oversight of the burgeoning sector. But he invited them to the meeting in hopes that they would give senators some realistic direction for meaningful regulation.