Explore YouTube’s latest updates with new features making Shorts even more similar to TikTok


YouTube Shorts will look even more like TikToks with these new features

So, TikTok’s been the king of those quick, up-and-down videos, right? Looks like YouTube’s tryna step up to the plate with some new tricks. They’re juicing up their Shorts to look and feel a lot like TikToks.

Here’s the dish:

Collab: It’s kinda like TikTok’s Duet thing. You can react side-by-side to a vid. If you’re rockin’ an iPhone, you might already see this.

Live in the Vertical: Just like TikTok and Insta, YouTube’s gonna let peeps go live, straight up and down.

Throwing Coins: Watching someone live and feelin’ generous? Shoot ’em some cash! You’ll see how much green you’re dropping with cool buttons.

Stickers, Effects, and Q&A: Asking questions on your vid and getting answers in the comments? Yep, YouTube’s borrowing that too.

Reply with a Short: Someone comments, you hit back with a video. Also, see a dope short and wanna give it your own spin? Hit that Remix button.

But hey, YouTube ain’t just copying homework. They got a couple of ace up their sleeves:

Playlist for Shorts: Always had it for the long vids. Now, stash your fave Shorts into special playlists.

Flip the Script: Got a regular vid and wanna make it a Short? They’re cookin’ up a tool for that. Change up the look, zoom, crop, and more.

YouTube’s making moves to stay in the game, taking some notes from TikTok, but also throwing in some of their own special sauce. Stay tuned! 🍿🎥🎬


6 New ChatGPT Features Include Prompt Examples & File Uploads

OpenAI’s ChatGPT is spicing things up with six cool new tweaks:

Start-off Prompts: No more staring blankly at an empty chat screen. They’ve thrown in some examples to kickstart your chats.

Reply Suggestions: ChatGPT will throw in its two cents, offering reply options to jazz up the convo.

GPT-4 Is the Star: If you’re a Plus user, GPT-4’s your main guy now, and you get to chat up to 50 messages every few hours. No looking back to the older model.

Upload Stuff to Code Interpreter: Got some files? Toss up to ten of them into their Code Interpreter for a deep dive. Handy for things like marketing data analysis.

Longer Login: You’ll stay signed in for more than the old two-week limit. Plus, a friendlier login screen – sweet!

Keyboard Tricks: Got some quick finger moves? There are shortcuts now. For example, Ctrl + Shift + C copies a code block, making things zippy.

These updates amp up ChatGPT’s game, especially for the online marketing crew. Though, heads up, they did ditch a few older features recently.

Now you’re all caught up, buddy! 🤠👍


Link Reader Disappears From ChatGPT Plugin Store

The “Link Reader” doodad, which let folks use ChatGPT to surf the web, has vanished from the ChatGPT store. People are in a tizzy on Twitter, especially since OpenAI just nixed the “Browse with Bing” thing last month. That Bing feature was turned off ’cause sometimes it showed stuff it shouldn’t, like whole web pages. OpenAI said “nope” and is now making a better version.

Even with Link Reader gone, folks who shell out money for ChatGPT can still use other gizmos to hop on the web. And hey, now the ChatGPT store is showing who made each plugin and how to contact ’em. That’s neat.

OpenAI’s move is all about playing fair and not stepping on toes. Some think they’re just sidestepping legal troubles. And while some users are throwing a fit ’cause their usual tricks don’t work, it’s a nudge for them to not put all their eggs in one basket.


Nightfall AI launches innovative security platform

Nightfall AI launched a new toolset that can keep a lid on sensitive data while businesses are using AI. It’s kinda like a bouncer for your private data, stopping it from slipping out while you’re busy working.

The first tool, Nightfall for ChatGPT, is an online tool that can spot and hide sensitive info typed into chatbots before it’s seen. Isaac Madan, the big cheese at Nightfall, wants to make the data protection as smooth as butter, without bugging users.

Second in line is Nightfall for LLMs. This is for the tech folks to integrate into their work, helping them spot and hide sensitive data used in training these AI models.

Finally, Nightfall for SaaS steps in to prevent leaks from popular online applications. This tool catches and hides sensitive data as AI is processing it, keeping your chats, documents, and other apps safe.

All these tools aim to give companies the confidence to use AI while keeping their secret sauce under wraps.


Nearly 3 out of 4 Marketing Professionals Use AI to Create Content, New Study Shows

Artificial intelligence (AI) isn’t some new kid on the block—it’s been in the game for ages, especially in the marketing scene. Still, things are heating up lately with generative AI, a tool that’s helping folks whip up catchy ads and more. It’s all because these AI tools are becoming super user-friendly and widely available. If businesses don’t get with the program, they’ll miss out big time.

Some fresh research from Botco.ai, a big name in AI chat tools, has spilled some surprising beans. They asked 1,000 marketing pros about their AI use, and a whopping 73% said they’re using generative AI to make all sorts of content, from text to videos. When we break it down, 78% of business-to-business (B2B) firms are on board, but only 65% of business-to-consumer (B2C) companies are riding the wave. A bit of a head-scratcher, right?


OpenAI, Other Firms Developing AI Tech Not Yet Ready for IPOs, Experts Say

The IPO game is heating up, but top AI startups like OpenAI, Anthropic, and Inflection might not be jumping in just yet.

Historically, a tech company shines in IPOs after a decade in the biz with a cool $100 million in the bank.

While some AI startups might dip into public waters, many experts think big fish will just gobble them up, especially those making cool stuff like large language models.

OpenAI, Anthropic, and Inflection are turning heads and rubbing shoulders with the White House. Other fresh faces, like Cohere and Hugging Face, are raking in big venture capital bucks. But are they ready to go public? It’s anyone’s guess.

Jay R. Ritter from the University of Florida chimes in: a company’s got to be around for about 10 years and have $100 million revenue to think about IPOs. But, AI being the rockstar it is, could change the game.

David Hornik of Lobby Capital thinks the future of tech IPOs will be beyond just AI. He believes we’re still in the early days for pure AI businesses. But keep an eye out, as big companies might buy out the small but innovative startups.


Machine learning identifies physical signs of stroke

A bunch of brainy folks over at UCLA and in Bulgaria have cooked up this app that uses machine learning to spot signs of a stroke. They tested this out on 240 stroke patients. They shot videos of these folks within three days of their first symptoms and checked things like how they move their arms and how their faces look.

The app measures different points on the face to spot anything unusual, uses the phone’s built-in gizmos to check arm strength, and even listens to speech patterns to notice if anything’s off. They compared the results from the app with what the docs were saying and scans of the brain, and it was almost always spot on.

Dr. Radoslav Raychev, a top doc at UCLA, is buzzing about how this could really shake up stroke care. The sooner you can tell someone’s having a stroke, the better the chances they have to pull through and get back on their feet. This app could be a real game-changer, helping spot a stroke early to save lives and make care better.


Deep Learning in Health Monitoring

Deep learning is shaking things up in health monitoring, making it possible to track a patient’s health in real-time and predict future health issues. It’s like having a doctor on your shoulder, watching your every move. Traditional health monitoring methods often miss the big picture as they’re usually based on snapshots rather than a continuous film. But now, thanks to improvements in technology like wearable devices and battery life, we can keep a better eye on things like heart rate, blood pressure, and blood sugar levels.

With these devices, we’re collecting a ton of health data. There’s a bit of a snag, though. We need to make sure that the data is accurate, maintain privacy, and develop smart ways to spot patterns and unusual stuff in all that information. It’s not a walk in the park, but it sure does have the potential to catch health issues early and customize treatments for improved well-being.

Using AI and deep learning, digital health companies can analyze all this data, recognize patterns, and make predictions about future health outcomes. This tech can help doctors create personalized treatment plans based on real data, not just the occasional check-up.


AI Keeps Using More And More Energy. Where Will It End?

AI’s climbing energy appetite could become a major eco issue, possibly even worse than bitcoin mining, a notorious greenhouse gas spewer. Currently, tech as a whole spits out about 2% of global CO2 emissions. But if AI keeps up its pace, it’ll gobble up 3.5% of the world’s electricity by 2030, according to the eggheads at Gartner.

Take Open.AI, for instance. It shells out around $700,000 daily on computing costs to deliver its chatty bot to over 100 million users. This has sparked a tech heavy-weight battle, with Google and Amazon launching their own versions of this chatbot. Like bitcoin mining, AI leans heavily on powerful computer chips to munch through data, which sucks up a ton of juice.

Figuring out the total environmental toll of these AI systems is tough. Tech firms play their cards close to their chest, often leaving scientists in the dark about the carbon footprint of their models. But if we look at the energy spent on training GPT-3, the forerunner of ChatGPT, it would have eaten up as much electricity as 121 US homes use in a year and produced CO2 equivalent to 33 flights from Australia to the UK.