Gemini can now watch YouTube for you - skip the video, get the highlights - Related to watch, can, now, skip, new

Gemini can now watch YouTube for you - skip the video, get the highlights

Gemini Flash [website] just debuted last week, but it's already getting an upgrade -- the ability to watch YouTube for you.

If you use YouTube as a resource for cooking, home repairs, crafting, or research, you know how frustrating it can be when it takes someone forever to get to the point. That may soon be a thing of the past because Gemini Flash [website] can now watch a YouTube video, extract the significant parts, and even answer your follow-up questions.

Also: Google Gemini's lock screen enhancement is a game-changer for my phone.

Gemini already had the ability to simply summarize videos, but this new application goes deeper.

To analyze a YouTube video with Gemini, just paste the video's link into Gemini.

You can ask specific questions, like a list of ingredients for a recipe or a list of supplies for a DIY craft, ask for a general summary or key idea, or get a transcript of what the speaker is saying.

Gemini will pull from both the video itself and the video description.

Also: Google's latest Gemini drop includes Pro access and Flash-Lite - here's what's new.

To test it out, I fed Gemini a YouTube link showing how to do a home repair I've been putting off and asked it to break the video down into step-by-step instructions. The 12-minute video has its own steps in the description -- just four steps -- but within a few seconds, Gemini responded with its own six-step plan and a little explanation for each.

It's not perfect, though. I gave Gemini a link to a video for a cake recipe and asked it to translate it into a written recipe (the actual written recipe was not in the description). Gemini replied with the ingredients and the process but didn't give actual amounts for the ingredients. When I asked it to provide the amounts, Gemini noted it couldn't and offered up a similar recipe it found online. The actual amounts were, of course, in the video.

Also: Gemini's Deep Research browses the web for you - try the Android app now for free.

To test the research capabilities, I found a Yale University lecture that was a little over an hour long. I asked Gemini for a summary, and it gave me a paragraph highlighting the key points. I asked for an outline summary I could use to study, and Gemini provided a seven-point outline with about three additional points under each main one. At a glance, I felt like I had a great grasp on the class, and it took me less than five minutes to read.

Overall, this has the potential to be an incredibly useful feature that lets you use YouTube as a resource without sitting through an entire video. The feature works on both web-based Gemini and the app, and it's available even if you're only using the free version.

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Google DeepMind’s new weather forecaster blows away the competition

Google DeepMind researchers have built an AI weather forecasting tool that makes faster and more accurate predictions than the best system available today.

Dubbed GenCast, the new model outperformed the ENS forecast, widely regarded as the world leader, 97% of the time for predictions up to 15 days in advance. It was tested on over 1,320 weather scenarios, including tropical cyclones and heatwaves.

“Outperforming ENS marks something of an inflection point in the advance of AI for weather prediction,” Ilan Price, a research scientist at Google DeepMind, told the Guardian. “At least in the short term, these models are going to accompany and be alongside existing, traditional approaches.”.

GenCast is a diffusion machine learning model, similar to those used in generative AI for tasks like image or text creation. However, it’s uniquely adapted for weather prediction, trained on four decades of data from the European Centre for Medium-Range Weather Forecasts (ECMWF) — the agency behind ENS.

During the experiments, researchers asked GenCast to generate a forecast for 2019. They then compared the results to the actual weather during that year as well as ENS’ predictions.

GenCast creates an ensemble of 50+ different predictions, each showing a possible future scenario. This data helps authorities prepare for extreme weather events like hurricanes or wind farm operators advanced predict power output days in advance.

The fancy name for this technique is probabilistic ensemble forecasting. It’s already the gold standard in traditional forecast systems. However, GenCast is taking things up a notch. The system can spit out predictions in far less time: 8 minutes, compared to hours for traditional models.

That’s because models like ENS run on massive supercomputers that have to crunch through millions of equations to make a prediction. By contrast, GenCast runs on a single Google Cloud TPU, a chip designed for machine learning. That’s because the AI has been trained, it’s “learnt” the data — it doesn’t have to go through it every single time it needs to make a forecast.

GenCast improves upon Deepmind’s GraphCast model unveiled last year. Other tech firms are also developing their own AI weather forecasters. Nvidia released FourCastNet in 2022, while Huawei launched its Pangu-Weather model in 2023.

So will AI replace traditional forecasting soon? Probably not. Models like GenCast still rely on data from traditional weather systems and models to train and calibrate their predictions. However, AI can certainly enhance current methods.

“The greatest value comes from a hybrid approach, combining human assessment, traditional physics-based models and AI-based weather forecasting,” Steven Ramsdale, chief forecaster at the UK’s Met Office, told the Financial Times.

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Netherlands strikes deal with Nvidia for AI supercomputing hub

The Dutch government has reached a deal with Nvidia to supply hardware and expertise for the construction of an AI facility in the Netherlands.

The facility will centre around an AI supercomputer aimed at accelerating research and development, as the country pushes to further digitalise its economy, .

The Dutch Minister for Economic Affairs Dirk Beljaarts is currently in Silicon Valley, where he is meeting with executives at Nvidia. The world’s second most valuable business, Nvidia is a world leader in graphics processing units (GPUs) for artificial intelligence applications.

“Before a shovel can go into the ground, we need to be sure that the required knowledge and hardware is available,” expressed Minister Beljaarts. “Today the Netherlands has taken an key step together with Nvidia. This brings the construction of a Dutch AI facility a lot closer.”.

The ministry didn’t provide a timeline or specific details for the AI facility. Nvidia declined our request for comment.

The Netherlands, which ranked in the top 10 most digitised countries globally last year, is pushing to position itself as a leader in AI. In January last year, the government ringfenced over €200mn to boost local investment in the technology.

“Asia and the US have taken the lead [in AI] and Europe will have to catch up,” mentioned the former economic affairs minister Micky Adriaansens at the time.

Key priorities of the government’s strategy include fostering AI talent, building infrastructure, ensuring safe applications, and enabling cooperation through entities like the Dutch AI Coalition. Last year, the Benelux nation also embarked on building its own “safer” large language model (LLM), called GPT-NL.

To execute its plans, the Netherlands is going to need more computing power to train AI machines. Aside from Nvidia, Beljaarts is also meeting with chipmaker AMD. The Minister is also in California to “strengthen relations” between Dutch and American technology companies more broadly, the government stated.

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