Meta, hell-bent on catching up to rivals in the generative AI space, is spending billions on its own AI efforts.
But an even larger chunk is being spent developing hardware, specifically chips to run and train Meta’s AI models.
Meta unveiled the newest fruit of its chip dev efforts today, conspicuously a day after Intel announced its latest AI accelerator hardware.
Google this week made its fifth-generation custom chip for training AI models, TPU v5p, generally available to Google Cloud customers, and revealed its first dedicated chip for running models, Axion.
Amazon has several custom AI chip families under its belt.
Bot creators now have a new way to make money with Poe, the Quora-owned AI chatbot platform.
The addition follows an earlier October 2023 of a revenue-sharing program that would give bot creators a cut of the earnings when their users subscribed to Poe’s premium product.
Today we’re introducing a new way for model developers and bot creators to generate revenue on @poe_platform: price per message!
The offering is currently available to U.S. bot creators only but will expand globally in the future.
Alongside the per-message revenue model, Poe also launched an enhanced analytics dashboard that displays average earnings for creators’ bots across paywalls, subscriptions, and messages.
The European Data Protection Supervisor (EDPS) has warned key planks of the bloc’s data protection and privacy regime are under attack from industry lobbyists and could face a critical reception from lawmakers in the next parliamentary mandate.
Any shift of approach by incoming lawmakers could have implications for the bloc’s high standard of protection for people’s data.
But he particularly highlighted industry lobbying, especially complaints from businesses targeting the GDPR principle of purpose limitation.
Wiewiórowski did not explicitly blame generative AI for driving the “strong attacks” on the GDPR’s purpose limitation principle.
So any AI-driven weakening of EU data protection laws in the near term is likely to have long term consequences for citizens’ human rights.
Spotify is building on its AI DJ feature, adding a new AI-powered playlist feature.
Spotify’s AI work nests into its other efforts to differentiate its service from rivals like Apple Music and offerings from Amazon.
Starting in just a few countries, the new AI playlist feature will roll out to more markets over time.
Some Spotify users have complained that the rollout of new products can take longer than they want to reach their home market, it’s worth noting.
But for those of us who aren’t mega-ChatGPT users, AI can seem ever so slightly remote from our regular existence.
EBay on Tuesday launched a new generative AI-powered feature to appeal to fashion enthusiasts: a “shop the look” section within its iOS mobile app that will suggest a carousel of images and ideas, based on the customer’s shopping history.
The idea is to introduce how other fashion items may complement their current wardrobe.
“Shop the look” will appear to any eBay shopper who has viewed at least 10 fashion items over the past 180 days, the company notes.
Google last summer introduced a way for consumers to virtually try on clothes using a new AI shopping feature, for example.
“Shop the look” will initially be available on iOS in the U.S. and U.K., with support for Android coming later this year.
“Our goal over time is to make a Llama-powered Meta AI be the most useful assistant in the world,” said Joelle Pineau, Vice President AI Research.
Most notably, Meta’s Llama families, built as open-source products, represent a different philosophical approach to how AI should develop as a wider technology.
But Meta is also playing it more cautiously, it seems, especially when it comes to other generative AI beyond text generation.
Ironically — or perhaps predictably (heh) — even as Meta works to launch Llama 3, it does have some significant generative AI skeptics in the house.
It’s not generative AI,” he said.
It’s time for Google’s annual look up to the cloud, this time with a big dose of AI.
At 9 a.m. PT, Google Cloud CEO Thomas Kurian will kick off the opening keynote for this year’s Google Cloud Next event, and you can watch it live right here.
After this week we’ll know more about Google’s attempts to help the enterprise enter the age of AI.
From a deeper dive into Gemini, the company’s AI-powered chatbot, to securing AI products and implementing generative AI into cloud applications, Google plans to cover it all.
Don’t have time to catch the Google Cloud Next livestream?
Here’s whyNvidia’s Blackwell platformOne of the anticipated announcements is Nvidia’s next-generation Blackwell platform coming to Google Cloud in early 2025.
Read moreImagen 2In February, Google announced an image generator built into Gemini, Google’s AI-powered chatbot.
Read moreChrome Enterprise PremiumMeanwhile, Google is expanding its Chrome Enterprise product suite with the launch of Chrome Enterprise Premium.
This, Kyle Wiggers writes, is “Google’s most capable generative AI model,” and is now available in public preview on Vertex AI, Google’s enterprise-focused AI development platform.
So he founded a startup, Symbolica AI, to do just that.
Elsewhere, a report co-authored by Stanford and Epoch AI, an independent AI research Institute, finds that the cost of training cutting-edge AI models has increased substantially over the past year and change.
With costs poised to climb higher still — see OpenAI’s and Microsoft’s reported plans for a $100 billion AI data center — Morgan began investigating what he calls “structured” AI models.
Symbolic AI solves tasks by defining symbol-manipulating rule sets dedicated to particular jobs, such as editing lines of text in word processor software.
Symbolic AI needs well-defined knowledge to function, in other words — and defining that knowledge can be highly labor-intensive.
AI agents are the new hot craze in generative AI.
On Tuesday at Google Cloud Next, the company introduced a new tool to help companies build AI agents.
“Vertex AI Agent Builder allows people to very easily and quickly build conversational agents,” Google Cloud CEO Thomas Kurian said.
In this case, it’s relying on Google Search (which in reality could or could not be accurate).
“We’re now bringing you grounding in Google Search, bringing the power of the world’s knowledge that Google Search offers through our grounding service to models.
