Artificial Intelligence - Page 28

Researchers have plugged 500 million years worth of evolutionary data into an AI and asked it to create genetic code. The results were surprising as the AI produced protein sequences never-before-seen by researchers.

The project is headed by scientists at the EvolutionaryScale and Arc Institute, and a new paper published in the journal Science details their findings. According to the team, the new AI model called ESM3 is capable of simulating brand-new protein sequences that can be used by researchers to develop a deeper understanding of how proteins work and ultimately be used in various scientific fields such as health.

As with every AI tool, the underlying technology requires large swaths of data for it to be functional, which is why, to create ESM3, the team trained the AI on 771 billion tokens that generated 3.15 billion protein sequences, 236 million protein instructions, and 539 million protein annotations.

While AI Chatbots such as ChatGPT and Claude have established their place in the market as general-purpose tools - Perplexity has carved out a niche for one specific function: AI-powered search.

While most tools have some capability to scour the internet for search results, Perplexity takes this process a little bit further, offering comprehensively sourced answers with a heavily research-focused functionality. As part of Perplexity's strategy to expand into a broader AI ecosystem - a new app entitled 'Perplexity Assistant' was released on the Google Play Store.

The Assistant utilizes reasoning, search, and apps, to help with daily tasks ranging from simple questions to multi-app actions. Allowing users to, for example, book dinner, find a forgotten song, call an Uber, and more. Recently, at Samsung Unpacked, we saw Google Gemini's assistant on full display, boasting a range of similar-sounding capabilities. Most notable was the ability to 'chain together' tasks. For example, asking Gemini to search for restaurants near you, and to send that to a specific contact in a text message.

A team of researchers has subjected several large language models (LLM), the underpinning technology powering artificial intelligence tools such as ChatGPT, to a series of tests that evaluate whether they can experience pain/pleasure.

In a new study that has yet to be peer-reviewed, researchers from Google DeepMind and the London School of Economics and Political Science came up with a series of tests designed to evaluate the experience level of an LLM. The team was inspired by experiments that involved researchers electrocuting hermit crabs to see how much pain they were willing to endure before they left their shells.

The same principle was applied to nine different LLMs, with the researchers giving each of the AIs the goal of achieving the highest score possible. However, there were only two available options.

In the midst of the 'AI Revolution', there's been plenty of speculation about AI taking away jobs, and no sector has been dealing with those fears more than the software engineering industry.

However, programmers can rest assured that one of the latest tools touted as a fully autonomous AI software engineer reportedly has its limitations. Devin is an AI programming tool originally released by Cognition AI in March of 2024. The tool, hailed as the "first AI software engineer," ignited a range of concerns for programmers with fears regarding job security. Particularly given that some of the claims included the ability to "build and deploy apps end to end" and "autonomously find and fix bugs in codebases."

Following its release, Cognition uploaded a video entitled "Devin's Upwork Side Hustle", which essentially claimed that the tool could make money through the completion of Upwork tasks. In April 2024, Veteran software developer Carl Brown of the YouTube channel Internet of Bugs quickly took to the platform to debunk some of the tool's claims, citing criticisms such as:

Anthropic's CEO, Dario Amodei, sat down with the Wall Street Journal on Tuesday to discuss the future of Claude, Anthropic, and artificial intelligence as a whole.

Amidst the discussions, emerged some ambitious predictions regarding the capabilities of the technology. Highlighting that: "I'm relatively confident that in the next 2-3 years, we'll see models that are better than almost all humans at almost everything."

Anthropic's revenue has grown tenfold - from $100 million to $1 billion - in just the last year. Between the efforts of OpenAI, Meta, Google, and various other players - the industry is booming. As the technology rapidly evolves, discussions regarding the economic, social, and even existential implications continue to dominate the tech space.

Google Gemini was one of the standouts of the recent Galaxy Unpacked event, showcasing a range of interesting AI features to launch with the Samsung S25 series. The reception has been promising, to such an extent that the Verge declared "Google's Gemini is already winning the next-gen assistant wars".

One of the key features that has people talking, is the ability to 'chain actions together'. For example, asking the assistant to find a restaurant on Google Maps, and then have it compose a text to send to a colleague. This was the example showcased in the S25 Leaks, and its unveiling at the event only further highlighted its potential.

The functionality to 'chain apps' in Gemini is largely dependent on the developer's support for the app - meaning, they'll need to be coded for that purpose. However, all major Google apps, and notable Samsung apps, including Samsung Calendar, Reminder, Notes, and Clock, will ship with these capabilities included.

President Trump announced an ambitious $500 billion AI infrastructure called Project Stargate, but now SpaceX and Tesla boss Elon Musk has said: "they don't actually have the money". Check out his post on X below:

In recent news, the Trump administration had OpenAI CEO Sam Altman, Oracle CEO Larry Edison, and SoftBank CEO Masayoshi San starting a $100 billion investment into Project Stargate, with a goal of $500 billion in the coming four years. NVIDIA, Microsoft, and other partners are involved in the AI supercomputer project.

Musk posted on X that "they don't actually have the money" adding that "SoftBank has well under $10B secured. I have that on good authority". This is some strong comments from the SpaceX and Tesla boss, considering he's involved with DOGE inside of the Trump administration (not the cryptocurrency, but rather the Government of Department Efficiency).

President Trump has just announced that the US government will be pumping $500 billion into The Stargate Project, which will have $100 billion available immediately, and will create over 100,000 jobs in the USA.

As part of Stargate, we'll see a huge collaboration between the Trump administration, NVIDIA, OpenAI, Oracle, and SoftBank, to build and operate this new AI computing system. This new AI system will secure American leadership in AI, create hundreds of thousands of American jobs, and generate massive economic benefits for the entire world.

President Trump said: "What we want to do is we want to keep it in this country. China is a competitor, others are competitors. We want to be in this country, and we're making it available. I'm gonna help a lot through emergency declarations, because we have an emergency, we have to get this stuff built. So they have to produce a lot of electricity. And we'll make it possible for them to get this production done easily, at their own plants if they want".

When OpenAI's ChatGPT was released in 2022, it was already jarring to see how much the chatbot could engage in fluent conversation. Three years later, the humanizing aspects only continue to evolve.

The latest update from OpenAI emphasizes personalization and customization. You can now tailor the chat box to the dimensions of tone (witty, supportive) and functional roles (lab assistant, companion). You'll find a settings window that provides a few options to contextualize the conversation:

Functionally, this allows me to hardwire the chatbot into the harsh, but honest tone of Arnold Schwarzenegger. Highlighting that it needs to call me 'Steve', and that I'm an office worker with a bonked knee. The perfect recipe for fitness advice!

The rise of ChatGPT and learning language models have understandably disrupted almost every knowledge industry, and education systems are no exception.

A recent study from the Pew Research Center examined the way that high school students interact with ChatGPT for their schoolwork. The results shed some light on the matter but suggest there's still more to uncover. 26% of US teens (aged 13-17) are reported to utilize the famous AI tool, double that of 2023. The data also reports that only 79% of teens have even heard of ChatGPT.

This figure appears awfully low, given the extent to which schools and universities are scrambling to establish new curriculums and policies in response to the chatbot. While the study openly outlines the testing methodology, the student in me is prone to suggest that, well, schoolers don't want to incriminate themselves. Given the media coverage of OpenAI, the tech savviness of a youth generation, and the discourse within education in general, it's hard to believe that the figures would truly be that low.

Amidst the AI arms race of 2025, OpenAI has detailed its plans to release an autonomous artificial intelligence agent entitled 'Operator.'

As reported by Bloomberg, the fancy new AI agent is designed to take actions on behalf of the user. For example, writing code or making your travel arrangements. The key distinction of agents from a tool like ChatGPT is that agents represent a shift to fully autonomous task management. Meaning, you set it up, give it a task, and let it figure out the rest. No hand-holding, minimal oversight.

Given how common it is for AI features to simply... not work. I'm reluctant to entrust an AI for my own travel plans. However, OpenAI Chief Executive Officer Sam Altman has been persistent in stating that agents represent the next key breakthrough for artificial intelligence. NVIDIA's Chief Executive Officer, Jensen Huang, echoes this sentiment, proclaiming that 'IT will become the HR of AI Agents.'

In order for NVIDIA's continued AI GPU dominance it needs advanced packaging -- TSMC is the king of the semiconductor industry, and has the world's bleeding-edge advanced packaging technology -- but NVIDIA needs more, much more.

NVIDIA's new Blackwell AI GPUs have multiple chips glued together using a complex chip on wafer on substrate (CoWoS) advanced packaging technology that TSMC makes, with NVIDIA CEO Jensen Huang making some new remarks on needing more CoWoS advanced packaging capacity.

Huang said on the sidelines of an event by chip supplier Siliconware Precision Industries in Taiwan's central Taichung city: "As we move into Blackwell, we will use largely CoWoS-L. Of course, we're still manufacturing Hopper, and Hopper will use CowoS-S. We will also transition the CoWoS-S capacity to CoWos-L. So it's not about reducing capacity. It's actually increasing capacity into CoWoS-L".

NVIDIA's next-generation Rubin GPU architecture will enter "trial production" in 2H 2025 according to the latest rumors, with SK hynix working on getting its next-gen HBM4 memory ready earlier than expected.

The company promised a 1-year cadence on new AI GPU architecture releases, but it seems NVIDIA is even more keen on getting new AI GPU architectures into the wild even quicker. In a new report from ZDNet Korea, we're learning that SK hynix is shipping out HBM4 AI memory samples in June at the latest, with mass production of its new HBM4 expected to begin in Q3 2025, around 3 months earlier than SK hynix had planned.

NVIDIA requested SK hynix bring its HBM4 AI memory to market ahead of schedule, and this is ahead of the expedited release of HBM4 by NVIDIA. ZDNet Korea reports that the tape-out of HBM4 to NVIDIA had taken place in Q4 2024, which means SK hynix has already completed verification stages with big partners.

If you've been following our coverage of CES 2025, you'll notice that AI has been the key buzzword from this year's conference.

In fact, it's been the buzzword of the last 5 years. However, amidst the fog of false corporate claims and gimmicks - two experts from Princeton University have been cutting through the falsehoods and misconceptions about the technology.

Prof. Arvind Narayanan and former Facebook engineer Sayash Kapoor appeared in a recent conversation that explored the concept of 'AI Snake Oil', and the ways that companies are using these tools to deceptively market products. One of the cited examples was how hiring tools, which claim to predict a candidate's job performance, lack any credible foundation. "Companies are selling products that literally cannot work," Kapoor emphasizes.

A woman was scammed out of $855,000 by someone who was using AI-generated photos and videos pretending to be Brad Pitt.

In February 2023, the scammed woman who identifies as Anne, says someone who was claiming to be Brad Pitt's mother, reached out to her on Instagram introducing her to her son "Brad". The woman was skeptical at first, but the scammer sent her messages, poems, and AI-generated photos and videos pretending to be Brad Pitt, and she completely fell for it.

Anne said that the purported Brad Pitt confessed his love for her, and even proposed... if that wasn't crazy enough, the woman accepted Brad's proposal, and divorced her husband. After she divorced, she received a settlement of around $798,000 to which the scammer acting as Brad Pitt.

In a report from outlet The Information a couple of days ago, rumors of NVIDIA GB200 AI servers having overheating issues heated up again, but now Taiwan suppliers have come to the table saying these rumors are false, and asking "how many times is this rumor going to get repeated?"

The 4 major cloud service providers (CSPs) with Amazon AWS, Microsoft, Google, and Meta (as well as others) are reportedly cutting back on NVIDIA GB200 AI server cabinets, wanting the newer versions according to reports. The NVIDIA GB200 supply chain in Taiwan "generally expressed helplessness" yesterday, in response to the rumors of GB200 overheating.

They said "how many times will the same rumor happen" while emphasizing that shipments of NVIDIA GB200 AI servers are on schedule, and that the shipments are not affected by overheating issues. The issues from the GB200 AI server cabinets are coming from the complexity of the packaging, as there are far more higher-end, power-consuming chips inside GB200 NVL72 server cabinets compared to the previous generation.

One of the amazing aspects of AI large language model is the sheer amount of data on which they're trained. However, the process in which this is achieved has been a subject of scrutiny for companies like OpenAI and NVIDIA.

Meta is the latest to join this scandal, following a series of lawsuits that claim these organizations have been using copyrighted data to train their AI model 'Llama.' The recent allegations against Meta, entitled "Kadrey et al. vs. Meta Platforms", come from two novelists: Richard Kadrey and Christopher Golden. Like the previous cases, the lawsuit was filed on the basis that Meta was using copyrighted content without authorization.

Following a recent court order from the Northern California District Court, a range of documents were made public that indicate just that. In a documented conversation between Meta employees, an engineer says: "torrenting from a [Meta-owned] corporate laptop doesn't feel right."

The Consumer Electronics Show (CES) held in Las Vegas caused a wave of interesting new tech announcements, and among the tsunami of new products was Aria, the human-sized AI-powered robot that, according to the company behind it, is designed for "companionship and intimacy."

According to Andrew Kiguel, the CEO of Realbotix, the company behind Aria, the robot is designed to interact with other humans and provide comfort to those who can't find a way to bond with another human. It wasn't long before Aria became sexualized by commenters on the numerous videos floating around social platforms, which sparked an investigation into the company's history.

According to reports, the versions before Aria were in fact, sex dolls, as Realbotix once produced silicone sex dolls that have now evolved into what we can see above. A spokesperson from Realbotix told Futurism the company "no longer produces sex products" and that Aria, in particular, "does not have genitalia" and "is not meant for sex." Realbotix has spent the better part of a year rebranding its products as emotional companions rather than dolls designed for sexual engagement.

Artificial intelligence-powered tools such as ChatGPT, Microsoft's Copilot, or Google's Gemini are known to experience "hallucinations" or the spouting of incorrect information. But what causes these hallucinations? And when does an AI become compromised totally?

A new paper published in the scientific journal Nature Medicine looked at the underpinning technology powering AI tools, which are called Large Language Models (LLMs). The team found that if an LLM was trained on a dataset that contained just 0.001% of incorrect information, it could jeopardize the entire model. These findings are particularly eye-opening when considering the stakes at play when using an LLM to answer questions about healthcare or, worse, patients suffering from medical afflictions.

The researchers discovered these findings by purposely injecting "AI-generated medical misinformation" into a commonly used LLM training dataset called "The Pile". Notably, The Pile has been tied into a controversy in the past, as it was discovered the dataset contained hundreds of thousands of YouTube video transcripts, which were then used by big tech corporations such as Apple, NVIDIA, Salesforce and Anthropic. Furthermore, using YouTube video transcripts to train LLMs goes against YouTube's terms of service.

The outgoing Biden Administration's "AI Diffusion" rule essentially tightens controls on all AI hardware and algorithm/model exports, dictating which countries are allowed full access to AI silicon from American companies. In contrast, those not on the 'nice' list must apply for a special license to obtain more than 1,700 AI chips - including access to the most powerful AI models created by US tech companies.

The complete list of trusted countries is as follows: UK, Canada, Australia, Japan, France, Germany, Belgium, Denmark, Finland, Ireland, Italy, the Netherlands, New Zealand, Norway, the Republic of Korea, Spain, Sweden, and Taiwan. Everyone else, including China, must abide by the new "AI Diffusion rule" set to be enforced by the Commerce Department's Bureau of Industry and Security.

As one of the leaders in AI hardware and software across all industries, NVIDIA is unhappy with the new rule, stating that the "AI Diffusion" rule "threatens to derail innovation and economic growth worldwide."