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WordPress Now Has An OpenAI Powered Content Generator – Free Access Available

WordPress is now all decked out with an AI content generator, courtesy of Jetpack and OpenAI. You know Automattic, right? The brainiacs behind WordPress, WooCommerce and Tumblr? Well, they’ve added another feather to their cap, Jetpack AI Assistant, and it’s gonna revolutionize the way you write.

Now, your WordPress editor will practically chat with you, just like you’re texting your best buddy. You tell it what you want (that’s your “prompt”), and it’ll churn out content faster than you can say “Artificial Intelligence”. The content ain’t up to scratch? No sweat. Tell it to take another stab at it.

Conversational UI

What’s cool about this AI buddy is that it can change its tone of voice faster than a chameleon changes colors. Whether you want it to sound formal, skeptical, or even crack a few jokes, it’s got you covered. And get this, it can also create catchy titles, whip up summaries, correct spelling and grammar mistakes, and even translate content.

Adaptive Tone

WordPress AI Spelling and Grammar

“But wait, what’s the catch?” you might ask. Well, it starts out free with 20 content requests up for grabs. After that, it’s gonna cost you a 10-spot each month. If you’re a user, your luck’s in – you get it for free. But remember, this is an experiment so the prices might flip-flop down the line.

WordPress AI User Interface

So, if you’re looking to generate content without breaking a sweat (or your bank account), the Jetpack AI plugin is a no-brainer. It’s half the price of ChatGPT, lets you make unlimited requests once you’ve coughed up the monthly fee, and the best part? No more playing copy-paste with different apps. Everything’s right there in your WordPress editor.


Google DeepMind’s game-playing AI just found another way to make code faster

Google DeepMind’s AI whiz kid, AlphaDev, has done it again, folks. Think it’s about to earn its varsity letters. Based on its gamer sibling, AlphaZero, AlphaDev has been speeding up the very building blocks of software like a boss. How so? By sorting list items up to 70% quicker and boosting key cryptography algorithms by 30%. These kind of tiny tweaks can mean huge payoffs, saving us some serious dough and Mother Earth a hefty amount of energy.

For those in the back, Daniel Mankowitz, our guide at Google DeepMind, reminded us that our computer chips are hitting their stride, with no more room for physical upgrades. So, it’s all about getting creative and sprucing up the way we do computing.

AlphaDev has been mastering this game of ‘algorithmic efficiency’, if you will, by picking out the best computer instructions and arranging them in just the right order. It’s a bit like playing Tetris but instead of colorful blocks, it’s dealing with a dizzying number of potential code sequences. The prize? An algorithm that’s both correct and zippier than the rest.

But hold your horses, this isn’t any old code. AlphaDev’s working with assembly, the cryptic language that runs deep in the guts of our computer systems. It’s about moving and comparing numbers at the microscopic level. While it’s certainly not for us mere mortals, it’s ideal for hunting down computational shortcuts.

AlphaDev cut its teeth on sorting short lists of three to five items. Think of these as the tiny gears that keep the bigger machinery of code running smoothly. Any boost in their speed can have a rippling effect, quickening the whole process.

And boy, did it surprise us. It managed to sort a list of three items in 17 instructions instead of the usual 18, defying the expectations of even its creators. It got a bit humbled by a list of four items but swiftly got its groove back on a list of five, reducing the instructions from 46 to 42.

That’s some serious footwork, folks. It’s like the AI version of outpacing Usain Bolt by a good 70%. If you remember the famous Go game between AlphaGo and grandmaster Lee Sedol, it’s akin to one of AlphaGo’s odd but victorious moves that left everyone scratching their heads.

Now, we ain’t saying it’s perfect. There’s still room for growth as it learns to play with more toys in the assembly sandbox. And there are plans to gear it up for longer algorithms using C++ instructions, making it even more versatile.

AlphaDev might be that geeky whiz kid in the corner, but it’s slowly transforming the rules of the game in programming. And we ain’t seen nothin’ yet.


Google’s generative AI support in Vertex AI is now generally available

Google’s been tinkering in their garage again and this time they’ve cranked up the horsepower on their Vertex AI machine learning platform. Now it’s got a shiny new coat of generative AI paint, thanks to some smart techy stuff like PaLM 2, Imagen, and Codey. You don’t need to be a nerd to get it – these features help you generate text, create smarter chats, and even search better. And they’re all nestled snugly in Google’s “Model Garden” and its “Generative AI Studio.”

Google’s been whispering about this in the ears of a select few before now. But today, they shouted it from the rooftops at their Mountain View shindig. And their new Codey and PaLM models are taking their first bow in the Model Garden. It’s like a star-studded premiere, but for AI.

Companies are already giving Google’s new toys a whirl. GitLab’s got Codey playing detective to explain software bugs, while Canva’s using Vertex AI to break down language barriers and even test out making movies from short clips. There’s a new kid on the block, too – Typeface. They’re pairing up with Google, using their AI for some creative stuff and launching their product in the Google Workspace Marketplace.

Other partners are tagging in as well. DataStax is jazzing up their database service with some vector search – a trick that makes AI models smarter. Neo4j’s planning to transform your messy data into neat knowledge graphs that you can chat with. And they’re making sure these big brains won’t start seeing things that aren’t there.

And finally, Twilio. They’re poking around with some Vertex-powered features to help customer service reps figure out the best next steps and sum up those endless calls.

So there you have it – Google’s Vertex AI is stepping out into the limelight with some shiny new features. It’s like a Swiss Army knife for AI developers. But remember folks, just like a knife, don’t go poking around if you don’t know what you’re doing.


Google Cloud and Salesforce team up to bolster AI offerings

Salesforce and Google Cloud are putting their heads together, aiming to take businesses’ data game up a notch, or ten. They’re all geared up to let companies anticipate their customer needs better, like some crystal-ball-consulting oracles. Think of it like having a compass for your customers’ whims and desires. They’re making it happen by using a mishmash of offerings from both their sides: Google’s BigQuery, Salesforce’s Data Cloud, and Google’s Vertex AI.

David Schmaier, Salesforce’s top product honcho, mentioned in a chat with TechCrunch that it’s all about giving customers more AI choices. This ain’t the first rodeo for Google and Salesforce, who got cozy back in 2017 with an agreement centered on data and analytics.

Salesforce is pretty set on reinventing itself as a “data company,” tossing new AI tools into the mix left, right, and center. Their latest bright ideas?

EinsteinGPT and SlackGPT, AI helpers that can draft emails or answer questions about a company’s Slack content. Salesforce has got its eyes wide open for the next big thing in AI, and is throwing some serious cash at the cause via a $250 million fund for AI startups.

On the other side, Google’s looking to strut its stuff in data analytics and AI, and linking arms with Salesforce – who’s got a customer base of over 150,000 organizations – seems like a pretty smart move. It’s worth mentioning that Google Cloud just celebrated its first profitable quarter, even though it’s still playing catch-up to Amazon and Microsoft in the US cloud market.

The dynamic duo aims to allow companies to build better customer profiles by integrating Data Cloud and BigQuery. Also on the cards are connectors between Data Cloud and Vertex AI, so companies can whip their AI models into shape across the Salesforce platform.

The big question though: will businesses bite? The chieftains at Google and Salesforce are pretty pumped about their new offerings and are hoping to usher in a new era of productivity and efficiency. However, only time will tell if their customers find these shiny new tools as tantalizing as they do.


Salesforce doubles down on generative AI with Marketing GPT and Commerce GPT

Salesforce is bringing the heat with two shiny new AI products – Marketing GPT and Commerce GPT. Rolled out at their ongoing Connections conference, these new tools will help businesses skip the tedious bits and deliver personalized experiences, whether in marketing campaigns or shopping, like nobody’s business.

But let’s not get too excited – these features are not going live immediately. Instead, they’re playing the slow game, rolling out in phases starting from summer 2023.

So, what do these new GPT kids do? They’re powered by Salesforce’s Data Cloud (think a massive vault of customer profiles) and the Einstein GPT AI assistant. They allow users to chat with their Marketing Cloud system as if it’s their best bud.

Segment Intelligence

Marketing Cloud users can use everyday language to ask the Data Cloud to find new audience segments to target. They can even get Einstein GPT to write or tweak personalized emails for campaigns, or use Typeface to create snazzy visual content.

But the fun doesn’t stop there.

The Marketing Cloud is also getting some AI superpowers that will connect various data for a complete view of a campaign’s performance. Plus, it’ll resolve customer identities across different devices for personalized experiences. Just note, this feature needs an opt-in, so don’t get your britches in a bunch.

Salesforce Dynamic Product Descriptions

Now, Commerce GPT is playing a different game, focusing on personalized shopping experiences. It’s equipped to whip up product descriptions for digital storefronts faster than you can say “AI”. And these descriptions can be translated into different languages for diverse audiences. Not to mention, there’s more to come for this AI whiz kid.

The shopping experience will also feature Commerce Concierge, an AI butler of sorts, and a Goals-based tool to offer actionable insights and recommendations.

A Salesforce executive quipped, “Salesforce is now an AI company,” hinting at more GPT surprises on the way. CEO Marc Benioff even claimed that this new wave of AI is going to be a bigger deal than any tech innovation we’ve seen – quite a claim, if you ask me.


Typeface expands customized generative AI approach with Google Cloud partnership

Typeface, a San Francisco tech firm, is partnering up with Google Cloud to give their generative AI tech a boost. Founded by former Adobe bigwig Abhay Parasnis, Typeface wants to use AI to generate content for big name brands. You know, the type that aren’t exactly thrilled with the one-size-fits-all approach of current language models.

The plan? To use the latest AI models from Google, like the PaLM 2, and then custom fit them for specific brands. As simple as putting on a tailored suit. Plus, there’s a deal to plug Typeface’s tech straight into Google Workspace, neat as a pin.

Now, the current way to tweak language models is something called a “zero shot” approach. Think quick change, little training. But, as we all know, the easy route isn’t always the best. So, Typeface is aiming to go one step further. They’re offering bespoke models for businesses, based on existing language models. The companies get to own and control these models, safeguarding their valuable content.

To do this, they’ve got something called the Typeface Graph. Imagine it like a storage place for data that gets all the aspects of your content – images, text, and videos – and creates a detailed model of it. There’s also a vector database in the mix, which handles data retrieval and working with the language models.

There’s also something called the “Flow” service from Typeface, which makes the tech more accessible for business users, making it a snap to generate content for Instagram posts or Google ads.

Google’s already got its own generative AI going on, but Typeface claims to take it a notch higher with its personalized approach. The dream? To be the go-to platform for enterprise-generated content, working with big names like Microsoft and Google. Talk about reaching for the stars!


Google launches new learning and consulting offers help enterprises on their AI journey

Google Cloud just stepped up its game, big time. The brainy tech company today declared that it’s beefing up its consulting service, aiming to play the wise old sage for businesses who are just starting out on their cloudy voyage.

Part of this upgrade means that Google is rolling out the red carpet for bigwigs at big businesses. They’re aiming to help these head honchos make the most out of something they call “generative AI”, all while keeping it on the up and up. They’re also set to kick off new learning programs on-demand for their customers and partners, sort of like a Netflix for nerds.

But that’s not all. Google is also serving up new consulting offers around this generative AI stuff, which helps businesses use AI to do stuff like dissect data, automate the mundane, and command language models to dig through their data like a hound on a scent.

According to Google Cloud’s high-fliers, Carrie Tharp and Lee Moore, these new offerings are about giving customers a taste of AI solutions using their own data, and lining up with their businesses’ needs like peas in a pod.

And just when you thought they were done, they’re also launching some fresh blueprints and workflows for specific industries. You know, to keep things spiced up.

Google knows that AI is causing a whole lot of nail-biting in boardrooms. Businesses, many still knee-deep in modernizing their infrastructure, are looking over their shoulders, anxious about missing the AI train. Just a few years back, these businesses were warned about getting left in the dust if they didn’t buckle up for “digital transformation”. Now, with the rise of machine learning and this generative AI thing, there’s a fresh wave of worry washing over business big shots. But hey, looks like Google’s got their back!


Bill Gates Thinks The Next Big Thing In AI Will Comes From An Unknown Startup

Microsoft co-founder Bill Gates recently dished on the future of artificial intelligence, or AI for short. The crux of it? He reckons the next kingpin in the AI realm won’t be one of the current tech bigwigs like Google or Amazon, but a newcomer to the game.

He revealed a vision for a “personal digital agent” – think a high-tech butler, doing your bidding without you needing to poke around search or shopping sites. This, according to Gates, is the next hot ticket item.

Now, you’d think he’d back his own team at Microsoft for this gig, and he does, but Gates also threw a curveball stating that the chances are fifty-fifty that a startup could take home the gold. He even gave a shoutout to one underdog in the race – a startup called Inflection.

Aside from hyping up the future, Gates also touched on a few other topics. First off, he believes we’re a ways away from this digital assistant being ready to roll out of the factory doors. In the meantime, though, expect companies to keep dabbling in generative AI technologies. Secondly, our man is pumped about AI’s role in health innovation, seeing it as a big boost to healthcare and drug development. Thirdly, despite our brains still playing hard to get, Gates is positive about advancements in tackling diseases like Alzheimer’s.

Moving onto jobs, Gates considers these text-creating AIs as possible game-changers, particularly for the white-collar folk. So, it seems clear that Gates is all-in on AI’s potential to be a positive game-changer.

Now, if you’re feeling the itch to get in on this AI startup scene, don’t fret. Changes in the law have made it possible for everyday Joe’s and Jane’s to invest in startups via platforms like StartEngine and Wefunder. Apparently, AI startups are the bee’s knees among retail investors, so there’s an avenue for you to get a slice of the AI pie.