Hoop, a productivity startup founded by a group of early Trello employees, wants to use AI to help you automatically generate and track your to-do list.
Image Credits: HoopThe core idea behind Hoop is that it will use AI to automatically capture potential tasks from Google Meet and Slack meetings and Slack messages (with other platforms coming later, starting with email) and pull those into the Hoop to-do list.
Currently, Hoop is a bit of a single-player experience, but Garber tells me that the company plans to add more team features in the future.
“We are really, really focused on making [Hoop] as useful for the individual as possible before we expand to teams, but it’s a very natural thing for us to do,” Garber said.
And while Hoop right now mostly looks like a standard to-do list, the company plans to add different views over time as well.
Live Folders comes as the company also builds out more AI-powered features to create more dynamic and automated user experiences.
The company is launching Live Folders initially with GitHub pull request support.
When a user creates a GitHub pull request, Arc automatically creates a Live Folder in the sidebar.
When it asked users about support for types of systems for the Live Folders feature, GitHub was the top requested service.
It added that the tech behind Live Folders is flexible, so it could also adopt things like updates from RSS feeds.
Earlier today, Sentry announced its AI Autofix feature for debugging production code and now, a few hours later, GitHub is launching the first beta of its code scanning autofix feature for finding and fixing security vulnerabilities during the coding process.
This new feature combines the real-time capabilities of GitHub’s Copilot with CodeQL, the company’s semantic code analysis engine.
The company also promises that code scanning autofix will cover more than 90% of alert types in the languages it supports, which are currently JavaScript, Typescript, Java, and Python.
“Just as GitHub Copilot relieves developers of tedious and repetitive tasks, code scanning autofix will help development teams reclaim time formerly spent on remediation,” GitHub writes in today’s announcement.
To generate the fixes and their explanations, GitHub uses OpenAI’s GPT-4 model.
DoorDash hopes to reduce verbally abusive and inappropriate interactions between consumers and delivery people with its new AI-powered feature that automatically detects offensive language.
Dubbed “SafeChat+,” DoorDash is leveraging AI technology to review in-app conversations and determine if a customer or Dasher is being harassed.
The feature is an upgrade from SafeChat, where DoorDash’s Trust & Safety team manually screens chats for verbal abuse.
The company tells TechCrunch that SafeChat+ is “the same concept [as SafeChat] but backed by even better, even more sophisticated technology.
It can understand subtle nuances and threats that don’t match any specific keywords.”“We know that verbal abuse or harassment represents the largest type of safety incident on our platform.
Investing app Grifin today officially launched its anticipated investing model called “Adaptive Investing,” which enables you to automatically invest in your favorite brands that you frequently shop from.
“Investing, and even having a healthy positive relationship with money, is an incredibly difficult thing to do and achieve,” co-founder Aaron Froug tells TechCrunch.
It also introduces a “Secret Cash” function, allowing for non-public purchases and putting more money away as cash for their future.
“I’ve been personally using our app for a little over two years and I’ve invested in 115 unique companies,” he notes.
Additionally, Grifin is planning a redesign of its app, which will include a premium version as well as an AI chatbot to help people learn how to invest.
Massive training data sets are the gateway to powerful AI models — but often, also those models’ downfall.
Morcos’ company, DatologyAI, builds tooling to automatically curate data sets like those used to train OpenAI’s ChatGPT, Google’s Gemini and other like GenAI models.
“However, not all data are created equal, and some training data are vastly more useful than others.
History has shown automated data curation doesn’t always work as intended, however sophisticated the method — or diverse the data.
The largest vendors today, from AWS to Google to OpenAI, rely on teams of human experts and (sometimes underpaid) annotators to shape and refine their training data sets.
Remember Ballie, Samsung’s spherical home robot from CES 2020?
I sure didn’t — until Samsung brought it back at this year’s keynote with a few on-trend AI upgrades.
The new and improved Ballie, which Samsung previewed during its press conference at CES 2024 in Las Vegas today, is around the size of a bowling ball, packing a battery that’s designed to last two to three hours.
In the latter case, Ballie will respond with the aid of a chatbot to confirm requests before taking action.
“With its built-in front [and] rear camera, [Ballie] can detect and analyze its surroundings and learn recurring user patterns,” Samsung continues in the press release.
According to Amazon, its intention is to make it as easy as possible for patients to receive the best prices on medications. By integrating manufacturer coupons directly into the checkout…
