MacPaw, which makes Mac and iOS apps, has released a new iPhone app called CleanMyPhone, which helps users free up storage by removing duplicate photos and cleaning up other unwanted images.
Declutter detects and scans your photos to find duplicates, screenshots, screen recordings, TikTok videos, app folders and blurred images.
That’s why you might want to have a look at some of the grouped photos before cleaning them.
In the Uniques category, you might find some images that you can delete.
If you don’t want the app to scan certain images, you can mark them as sensitive.
All show “increased capabilities” in analysis and forecasting, Anthropic claims, as well as enhanced performance on specific benchmarks versus models like GPT-4 (but not GPT-4 Turbo) and Google’s Gemini 1.0 Ultra (but not Gemini 1.5 Pro).
A model’s context, or context window, refers to input data (e.g.
In a technical whitepaper, Anthropic admits that Claude 3 isn’t immune from the issues plaguing other GenAI models, namely bias and hallucinations (i.e.
Unlike some GenAI models, Claude 3 can’t search the web; the models can only answer questions using data from before August 2023.
Here’s the pricing breakdown:Opus: $15 per million input tokens, $75 per million output tokensSonnet: $3 per million input tokens, $15 per million output tokensHaiku: $0.25 per million input tokens, $1.25 per million output tokensSo that’s Claude 3.
At the time, it looked like it would be more than $50 million; in the end it ended up a little lower.
This latest round brings the total raised by the company, which was founded about four years ago, to $64 million.
Photoroom plans to use the funding to hire more people and to continue investing in its R&D and infrastructure.
Other features it offers includes AI-generated backgrounds, scene expansions, AI-generated images, and a plethora of image editing tools.
“Photoroom’s generative AI capabilities are unparalleled, and we have no doubt that they will continue to lead the way in this rapidly evolving landscape.”
Today, the company announced a new capability for its Palmyra model that generates text from images, including graphs and charts, they call Palmyra-Vision.
May Habib, company co-founder and CEO, says that they made a strategic decision to concentrate on multimodal content, and being able to generate text from images is part of that strategy.
“We are going to be focused on multimodal input, but text output, so text generation and insight that is delivered via text,” Habib told TechCrunch.
She reserves the right to create charts and graphs at some point from data, but that’s not something they are doing at the moment.
This particular release is focused on generating text from those kinds of images.
The TechCrunch team is in Barcelona this week to bring you all the action going on at Mobile World Congress 2024.
So far, we’ve seen some big announcements from companies, including new Android features from Google, Lenovo’s new laptop concept and Xiaomi’s robotic dog.
As MWC progresses, here’s how you can follow along with our team’s coverage.
Last week, Brian reported that “Battery is precisely the sort of thing OnePlus needs to lean into,” given that its first generation product only had about 25 hours of battery life.
Xiaomi’s CyberDogAfter years of reporting on Xiaomi’s CyberDog, Brian Heater was finally able to see the robotic dog up-close at MWC.
This week in AI, Google paused its AI chatbot Gemini’s ability to generate images of people after a segment of users complained about historical inaccuracies.
Google’s ginger treatment of race-based prompts in Gemini didn’t avoid the issue, per se — but disingenuously attempted to conceal the worst of the model’s biases.
Yes, the data sets used to train image generators generally contain more white people than Black people, and yes, the images of Black people in those data sets reinforce negative stereotypes.
That’s why image generators sexualize certain women of color, depict white men in positions of authority and generally favor wealthy Western perspectives.
Whether they tackle — or choose not to tackle — models’ biases, they’ll be criticized.
A startup called Virtual Staging AI is making it possible for Realtors to virtually stage a house with the help of generative AI.
Virtual Staging AI, which is part of Harvard Innovation Labs, currently has 4,500 monthly paid subscribers and is looking to transform the real estate and staging industry.
Instead of having to share images of empty rooms in a listing, the tool gives Realtors realistic images of furnished rooms.
While Realtors could hire someone to digitally stage a room using tools like Photoshop, Virtual Staging AI promises a cheaper and faster way to do so.
Real estate has continued to evolve over the years, going from offering only in-person showings to facilitating virtual tours.
“While we do this, we’re going to pause the image generation of people and will re-release an improved version soon,” it added.
While we do this, we're going to pause the image generation of people and will re-release an improved version soon.
https://t.co/SLxYPGoqOZ — Google Communications (@Google_Comms) February 22, 2024Google launched the Gemini image generation tool earlier this month.
Gemini’s Al image generation does generate a wide range of people.
An earlier AI image classification tool made by Google caused outrage, back in 2015, when it misclassified black men as gorillas.
Google announced today that Gemini, its family of multimodal large language models, now powers the conversational experience within the Google Ads platform.
With this new update, it will be easier for advertisers to quickly build and scale Search ad campaigns.
The conversational experience is designed to help build Search campaigns through a chat-based tool.
The tool uses your website URL to create Search campaigns by generating relevant ad content, including assets and keywords.
“We observed that it helps them build higher quality Search campaigns with less effort.”The new tool will join Google’s other AI-powered tools for advertisers.
Models and influencers are among Artisse’s early adopters along with some businesses using AI photography for their ads.
“I see AI photography as a new category that should be probably of a similar size, if not bigger than, photo editing apps,” he says.
The investment, which was inbound, made sense because the fund has an influencer marketing arm and could help with marketing the app, Wu explains.
Shopping from AI photos and turning them into physical prints are other ideas being explored.
Artisse’s AI app is available on both iOS and Android.
