From Digital Age to Nano Age. WorldWide.

Tag: AI

Robotic Automations

LearnLM is Google's new family of AI models for education | TechCrunch


Google says it’s developed a new family of generative AI models “fine-tuned” for learning: LearnLM. A collaboration between Google’s DeepMind AI research division and Google Research, LearnLM models — built on top of Google’s Gemini models — are designed to “conversationally” tutor students on a range of subjects, Google says. LearnLM is already powering features […]

© 2024 TechCrunch. All rights reserved. For personal use only.


Software Development in Sri Lanka

Robotic Automations

OpenAI's newest model is GPT-4o | TechCrunch


OpenAI is releasing a new flagship generative AI model called GPT-4o, set to roll out “iteratively” across the company’s developer and consumer-facing products over the next few weeks. (The “o” in GPT-4 stands for “omnimodel.”) OpenAI CTO Muri Murati said that GPT-4o provides “GPT-4-level” intelligence but improves on GPT-4’s capabilities across text and vision as […]

© 2024 TechCrunch. All rights reserved. For personal use only.


Software Development in Sri Lanka

Robotic Automations

Anthropic now lets kids use its AI tech — within limits | TechCrunch


AI startup Anthropic is changing its policies to allow minors to use its generative AI systems — in certain circumstances, at least.  Announced in a post on the company’s official blog Friday, Anthropic will begin letting teens and preteens use third-party apps (but not its own apps, necessarily) powered by its AI models so long […]

© 2024 TechCrunch. All rights reserved. For personal use only.


Software Development in Sri Lanka

Robotic Automations

This Week in AI: OpenAI considers allowing AI porn | TechCrunch


Keeping up with an industry as fast-moving as AI is a tall order. So until an AI can do it for you, here’s a handy roundup of recent stories in the world of machine learning, along with notable research and experiments we didn’t cover on their own. By the way, TechCrunch plans to launch an AI newsletter […]

© 2024 TechCrunch. All rights reserved. For personal use only.


Software Development in Sri Lanka

Robotic Automations

Exclusive: SafeBase taps AI to automate software security reviews


Entrepreneurs Al Yang and Adar Arnon met at Harvard Business School and quickly realized that they had an interest in common: cybersecurity.

“We’ve witnessed an evolving business climate that brought along with it an unprecedented need for improved security processes,” Arnon told TechCrunch. “Security’s importance has increased exponentially … [it’s] non-negotiable for technology buyers.”

Yang and Arnon decided to turn this interest into something more, so they started SafeBase, which was accepted into Y Combinator’s accelerator program during the pandemic.

SafeBase on Tuesday announced that it raised $33 million in a Series B round led by Touring Capital. The company helps customers fill out security questionnaires, which are reviews organizations normally kick off before buying a new piece of software. It’s a governance and compliance thing.

Security questionnaires can be painstaking, taking teams weeks to months to complete for more complex pieces of software. But Arnon makes the case that SafeBase can save time through automation — and AI.

SafeBase employs AI models “specifically trained on security documentation use cases” to read, interpret security information and questions and then automatically respond to security questionnaires. “[Our platform] takes the pain out of the cumbersome security review process by empowering security, governance, risk and compliance and revenue teams,” he said.

Image Credits: SafeBase

Being the cynic about AI I am, I asked Arnon about the accuracy of these models; AI is a notorious liar, after all. He claimed that it’s superior thanks to a “mix of large and small language models” that deliver “greater answer coverage.” Take that how you will.

Beyond the custom models, SafeBase provides an engine that allows a company to assign “rules-based behavior” for customer access, as well as dashboards that show insights and analytics on the company’s security posture.

SafeBase isn’t the only vendor out there offering tools to automate security questionnaires and reviews. Rivals include Conveyor, which recently raised $12.5 million; Kintent; and Quilt, which claims that it can also automate due diligence reviews in addition to security reviews.

Arnon didn’t seem too worried. Perhaps that’s because of SafeBase’s 700-company-strong customer roster, which includes Palantir, LinkedIn, Asana and Instacart.

“SafeBase saw massive growth in the past couple of years,” Arnon said. “Customers love the product and adoption continues to accelerate. The company benefits from increased visibility across its vendor network as more and more high-volume customers launch trust centers that replace the need for tens of thousands of manual security reviews.”

SafeBase, which is based in San Francisco, has 55 employees.

The company’s Series B had the participation of strategic investor Zoom Ventures (Zoom’s corporate venture arm), NEA, Y Combinator, Comcast Ventures and Cerca Partners as well as angels including former Salesforce chief trust officer Jim Alkove. It brings SafeBase’s total raised to over $50 million; Arnon says a significant portion will be put toward expanding the team.


Software Development in Sri Lanka

Robotic Automations

Meta's AI tools for advertisers can now create full new images, not just new backgrounds | TechCrunch


Meta is rolling out an expanded set of generative AI tools for advertisers, after first announcing a set of AI features last October. Now, instead of only being able to create different backgrounds for a product image, advertisers can also request full image variations, which offer AI-inspired ideas for the overall photo, including riffs that update the photo’s subject or product being advertised.

In one example, Meta shows how an existing ad creative showing a cup of coffee sitting outdoors next to coffee beans could be modified to present the cup, from a different angle, in front of lush greenery and coffee beans, evoking imagery reminiscent of a coffee farm.

This may not be a big deal if the image is only mean to encourage someone to visit a local coffee shop. But if it was the coffee cup itself that was for sale, then the AI variations Meta offers could be versions of the product that didn’t exist in real life.

The feature could be abused by advertisers who wanted to dupe consumers into buying products that don’t actually exist.

Meta admits this is a possible use case, saying that an advertiser could tailor the generated output with the coming Text Prompt feature with different colors of their product, from different angles and in different scenarios. Currently, the “different colors” option could be used to dupe customers into thinking a product looked different than it does in real life.

As Meta’s example demonstrates, the coffee cup itself could be transformed into different colors, or could be shown from different angles, where each cup has its own distinct swirl of foaming milk mixed in with the hot beverage.

However, Meta claims that it has strong guardrails in place to prevent its system from generating inappropriate ad content or low-quality images. This includes “pre-guardrails” to filter out images that its gen AI models don’t support and “post-guardrails” that filter out generated text and image content that doesn’t meet its quality bar or that it deems inappropriate. Plus, Meta said it stress-tested the feature using its Llama image and full ads image generation model with both internal and external experts to try to find unexpected ways it could be used, then addressed any vulnerabilities found.

Meta says this feature has already begun to roll out, and in the months ahead, advertisers will be able to provide text prompts to tailor the image’s variations, too.

Image Credits: Meta

Plus, Meta will now allow advertisers to add text overlays on their AI-generated images with a dozen of the most popular font typefaces available to choose from.

Another feature, image expansion, also introduced in October 2023, will now be available to Reels in addition to the Feed, across both Facebook and Instagram. This option leverages AI to help advertisers adjust their image assets to fit across different aspect ratios, like Reels and Feed. The idea is that advertisers could spend less time repurposing their creative assets for different surfaces. Meta says text overlay will work along with image expansion, too.

One advertiser, smartphone case maker Casetify, said that using Meta’s GenAI Background Generation feature led to a 13% increase in return on its ad spend. The company had tested the option with its Advantage+ shopping campaigns, where the AI features first became available in the fall. The updated AI features will also be available through Ads Manager via Advantage+ creative, as before.

Image Credits: Meta

Beyond images, Meta’s AI can be used to generate alternate versions of the ad headline, in addition to the ad’s primary text, which was already supported by leveraging the original copy. Meta says it’s testing the ability for this text to also sound like the brand’s voice and tone, using previous campaigns as its reference material. Text generation capabilities will be moved to Mets’s next-gen LLM (large language model), Meta Llama 3.

All the generative AI features will become available globally to advertisers by the end of the year.

Outside of the AI updates, Meta also announced it would expand its subscription service, Meta Verified for businesses, to new markets including Argentina, Mexico, Chile, Peru, France, and Italy. The service began testing last year in Australia, New Zealand and Canada. 

Now, Meta Verified will offer four different tiers to its subscription plan, all with the base features of a verified badge, account support, and impersonation monitoring. Higher tiers will include new tools like profile enhancements, tools for creating connections, and more ways to access customer support.

Meta Verified will be expanded to WhatsApp soon, the company also said.


Software Development in Sri Lanka

Back
WhatsApp
Messenger
Viber