Hi , welcome to another episode of Cold Fusion .
Take a look at this , say you're on a hike and you stop to take a photo in front of a waterfall .
You wish you had taken your bag off for the photo .
So let's go ahead and remove that backs strap and maybe you want to even get rid of some clouds to make it feel as sunny as you remember it .
Looking even closer .
You wish you had post , so it looks like you're really catching the water in your hand .
No problem .
You can adjust that .
This was the moment at Google's I O conference for developers .
The way the crowd responded to this moment reminds me a little bit of that time , Steve Jobs scrolled on the iphone for the first time in public .
Well , how do I scroll through my list of artists ?
How do I do this ?
I just take my finger and I scroll now .
Obviously , Google's keynote wasn't on the same magnitude , but you could sense something that little spark of delight in seeing something digital .
That was visually surprising .
I think it's likely that as time goes on A I will continue to surprise us in a similar way to the first iphone did after being blindsided by chat GP T and the subsequent A I explosion , Google is hitting back and they showcased just what they were capable of when given a clear direction and goal from automatic email generating to a conversational search engine and the A I discovery of a molecular syringe .
It's all very interesting stuff which shows you just how quickly the world is about to change .
But how are the risks going to be balanced by Google ?
In this episode ?
We'll take a look .
You are watching film fusion TV .
I've been reflecting on the big technology shifts that we've all been a part of the shift with A I is as big as they come and we are doing this responsibly in a way that underscores the deep commitment we feel to get it right .
So , on behalf of all of us at Google , thank you and enjoy the rest of I O .
It's clear that Google sees this as a big moment in their history and in world history .
Think about it this way , Google's most valuable product is search , which by the way brings in about 60% of profits .
If Google is willing to risk putting A I into their Google search the center of their multibillion dollar income stream A I can no longer be called a fad .
It's here to stay .
It's not an N F T or a meme coin .
It's a new class of legitimate product , a digital assistant for your workflow .
Eventually , no matter what job you do A I assistants will help you do the repetitive boring stuff .
Or at least that's the plan .
Anyway , the implications of this are huge .
It's changing vast swaths of industries like the web did .
But 10 times as fast in May of 2023 Google unveiled their A I game plan to the world .
Google's main strategy was to integrate all of their A I research systems into their products .
Now , Microsoft bing had their chance to corner the market , but it seems like they couldn't capitalize on their lead fast enough being A I turned out to be even weaker than chat GP T it is useful for some stuff .
For example , I had an issue with able that would be hard to Google and Bing A I did help me out but still for a lot of people they want even more for Google .
It was the perfect time to strike back .
And with their large user base , they could now protect their cash cow search .
Google's A I search can basically do everything B A I can do but with the accuracy of Google .
So let's start with a search for what's better for a family with kids under three and a dog , Bryce Canyon or Arches .
Now , although this is the question that you have , you probably wouldn't ask it in this way today .
You break it down into smaller ones , sift through the information and then piece things together yourself .
Now , search does the heavy lifting for you .
There's an A I powered snapshot that quickly gives you the lay of the land on a top click .
And so here you can see that while both parks are kid friendly , only Bryce Canyon has more options for your furry friend .
Then if you want to dig deeper , there are links included in the snapshot , you can also click to expand your view and you'll see how the information is corroborated .
So you can check out more details and really explore the richness of the topic .
This new experience builds on Google's ranking and safety systems that we've been fine tuning for decades to make shareholders happy .
Google spent a lot of time in the presentation focusing on shopping .
They wanted to make it clear to advertisers that they're not going to be left behind here .
In summary , this is promising a much smarter Google search experience with the ability to understand complex questions .
It's a natural conversation , chat experience that includes follow-up questions .
So what about Bard ?
So as many of you remember the launch of Bard was pretty poor .
The presentation was rushed to compete with chat GP T and the initial results of the system were less than stellar Google left that battle with their tail between their legs but have now returned with vengeance .
Google claims that Bard now has better math skills , logic , reasoning capabilities and can now access the internet .
So I'm thinking about colleges , but I'm not sure what I want to focus on .
I'm into video games and what kinds of programs might be interesting .
This is a helpful head start .
Animation looks pretty interesting .
Now , I could ask help me find colleges with animation programs in Pennsylvania .
Ok , great .
That's a good list of schools .
Now to see where these are , I might now say show these on a map here .
Bart's going to use Google maps to visualize where the schools are .
Now , let's start organizing things a bit , show these options as a table , nice structured and organized .
But there's more I want to know , add a column showing whether they're public or private schools .
This is a great start to build on and now let's move this to Google Sheets so my family can jump in later to help me with my search .
Now that's a taste of what's possible when Bard meets some of Google's apps .
But that's just the start Bard will be able to tap into all kinds of services from across the web with extensions from incredible partners like Instacart , indeed Khan Academy and many more with Adobe Firefly , you'll be able to generate completely new images from your imagination , right ?
In Bard .
So with that being said , what's the difference between Bard and Chat GP T ?
Well , for one Bard now has live internet access open A I .
On the other hand , hasn't released this feature to the public yet .
Chat GP T can often cite sources that are incorrect or hallucinated .
But with Bard , you can easily fact check within the app .
Also , unlike chat GP T Bard gives you the option to select multiple drafts of its outputs .
These drafts are distinct from one another .
It allows you to choose the output that most aligns with your preferences .
While GP T four is capable of understanding images , this function hasn't been rolled out to chat GP T yet .
Bard , on the other hand , can understand images .
So in the next few weeks , Bard will become more visual both in its responses and your prompts .
So if you're looking to have some fun with your fur babies , you might upload an image and ask Bard to write a funny caption about these two Alza texts that this is a photo of a Goofy German Shepherd and a golden retriever .
And then Bard uses that to create some funny captions .
It's going to be so interesting to see how all of this pans out as for availability .
There's no wait list anymore and bar will be available in 100 and 80 countries .
Another area that Google focused their A I injection efforts on was Gmail for many years .
Gmail has had sentence suggestions and small elements of A I but now they're leaning fully into it .
They call this new system help me , right .
It goes like this , a user types in a prompt hits create and a full email draft appears .
The idea is you will no longer need to search through email chains because the system automatically pulls useful information from old emails and other conversations and it learns from your writing to improve over time .
I can see that the aim of this is to write emails faster so people can focus on doing actual work .
But while watching the presentation , I couldn't help but entertain a funny thought Gmail is absolutely massive and everyone uses it in the near future .
In essence , we might just have A I S writing to each other for correspondences .
Humans will be less involved in business communication .
What this exactly means ?
I don't know .
But it is a strange thought .
Google Photos now gets an A I overhaul .
You can create a stunning 3d image from any regular photo and then use it as your wallpaper .
So let's take a look and I really like this photo of my daughter .
So let me click that and you'll notice there's a sparkle icon at the top .
So if I tap that , I get a new option for cinematic wallpaper .
So let me uh activate that and then wait for it and check out the parallax effect .
As I tilt the device , it literally jumps off the screen .
Now under the hood , we're using an on devices , convolutional neural network to estimate depth and then a generative adversarial network for in painting as the background moves .
The result is a beautiful cinematic 3D photo users can now reposition elements in their photos and the A I fills in the rest .
This means that parts of photos that never existed can be seamlessly recreated .
So there's a question , how is Google doing all of this Google has been researching A I for a long time and now they're just letting it out of the bag .
A lot of what Google announced was based on a more polished version of their in-house GP T competitor Palm .
And they're calling this new system Palm two .
It will generate text in most languages has the ability to code and also the ability to reason .
Google's Palm two comes in four different sizes , all designed for different scale .
The smallest is lightweight enough to be put on a mobile device offline .
But where Palm two really thrives is within the data sets of specialized knowledge .
Users can fine tune the system as their client needs .
Two examples , Google gave were cybersecurity and medical research .
What does this mean ?
Well , let's take medicine as an example .
Say you're a medical service company .
Hospitals may benefit from having an A I helper that's specially trained in medicine instead of training the model from scratch .
All you'll need to do is buy the base model from Google and train it on particular data in your field .
This could be research documents studies labeled x-rays MRI s and ultrasound data , et cetera .
The A I helper can now look through the MRI and guess with 95% accuracy , a rare cancer or provide cognitive aid to physicians , that kind of thing .
It does sound crazy , but it's already on the way using Palm two as a basis .
Google trained it on medical data and produced Palm med two .
The result was a ninefold decrease in wrong answers when compared to the standard Palm model .
This is currently the state of the art .
I discussed this whole concept of fine tuning on top of a base model .
In my first video .
When chat GP T first hit the public , Google claims that its optimized A I hardware servers powering all of this are 80% faster and 50% cheaper than other alternatives .
It's probably worth saying at this point that a lot of this stuff may not be anywhere near perfect at launch and there's probably going to be a few months of disappointment , but give it six or so months and it's going to exceed even the expectations of the critics .
Google gave some updates on their alpha fold biological project .
They stated that 400 million years of progress was made in the space of weeks .
Our field defining research is helping scientists make bold advances in many scientific fields including medical breakthroughs .
Take for example , Google Deep Mind's alpha fold , which can accurately predict the 3d shapes of 200 million proteins .
That's nearly all the catalog proteins known to science .
Alpha F gave us the equivalent of nearly 400 million years of progress in just weeks .
Sure , an interesting outcome was a molecular cancer syringe .
So far , more than one million researchers around the world have used Alpha F's predictions , including Feng Shag's pioneering lab at the Broad Institute of MIT and Harvard .
In fact , in March this year , Zhang and his colleagues at MIT announced that they'd used Alpha fall to develop a novel molecular syringe which could deliver drugs to help improve the effectiveness of treatments for diseases like cancer .
There's a lot of other stuff mentioned such as duet A I for workspace , it can help you draft documents , slides , spreadsheets and emails and can also generate images from scratch vertex A I an A I platform for building generative applications .
Users can select and then fine tune the A I models and they have access to foundation models such as chat , text and image .
And lastly Google did unveil their plans for the defense against the flood of A I generated content .
The company is working on A I detection and harm reduction tools .
This includes the evaluation of images with extra context .
As we invest in more advanced models , we are also deeply investing in A I responsibility .
This includes having the tools to identify synthetically generated content whenever you encounter it .
Two important approaches are water marking and metadata .
We are building our models to include water marking and other techniques from the stock .
As we begin to roll out the generative image capabilities like Sunda mentioned , we will ensure that every one of our A I generated images has metadata and mark up in the original file to give you context .
If you come across it outside of our platforms , not only that creators and publishers will be able to add similar metadata .
So you'll be able to see a label in images in Google search , marking them as A I generated .
So Google has had over a decade of A I research and have even called themselves an A I first company for the past seven years .
So they've had the research this whole time , but they've rightly been very cautious , Microsoft and open A I have forced them to fine tune their technology and get it out fast .
This is both good and bad .
It's good because we all get more A I tools to increase our productivity .
But it's bad because the slow and cautious approach has been abandoned in the face of increased competition .
That being said the safety measures being put in place are a good step .
I personally think it's fascinating to watch this battle play out in real time for a fundamentally revolutionary technology .
It's going to take a few years to see what really happened and how the world settles .
But I'll always be watching with intrigue .
So thanks for watching if you did like this episode , check out the rest of the channel , there's plenty of stuff on science , technology and business .
There also feel free to check out the , through the web podcast where we have deeper discussions on all of this kind of stuff .
My name is Diogo and you've been watching Cold Fusion and I'll catch you again soon for the next episode .
Cheers guys have a good one to .