In recent months, the big three cloud vendors — Amazon, Microsoft and Google — have relaxed their egress fees, which are a tax of sorts that the cloud companies charge customers to move their data to another vendor.
“In the original cloud world, the three major cloud vendors were really fighting to try to build what felt like walled gardens, and as long as you built on top of them, everything was great.
Cloud customers looking to switch providers will need to be retained through innovative and accessible features now that the punishment of egress fees is being phased out,” Seseri said.
David Linthicum, a longtime cloud consultant, says that while these recent announcements are a pleasant PR move, he warns folks to review their bills carefully because egress fees aren’t the only problem.
What are we paying for the networking fees, the egress fees, all the other hidden fees that come along with what people call junk fees that come from the cloud vendors?”But this may not affect startups as much as larger enterprise customers.
Generative AI models like Midjourney’s are trained on an enormous number of examples — e.g.
Some vendors have taken a proactive approach, inking licensing agreements with content creators and establishing “opt-out” schemes for training data sets.
The problem with benchmarks: Many, many AI vendors claim their models have the competition met or beat by some objective metric.
Anthropic launches new models: AI startup Anthropic has launched a new family of models, Claude 3, that it claims rivals OpenAI’s GPT-4.
AI models have been helpful in our understanding and prediction of molecular dynamics, conformation, and other aspects of the nanoscopic world that may otherwise take expensive, complex methods to test.
In its IPO prospectus filed today with the U.S. Securities and Exchange Commission, Reddit repeatedly emphasized how much it thinks it stands to gain — and has gained — from data licensing agreements with the companies training AI models on its over one billion posts and over 16 billion comments.
“In January 2024, we entered into certain data licensing arrangements with an aggregate contract value of $203.0 million and terms ranging from two to three years,” the prospectus reads.
“We expect a minimum of $66.4 million of revenue to be recognized during the year ending December 31, 2024 and the remaining thereafter.”Now, it’s a mystery as to which AI vendors are licensing data from Reddit so far.
Why’s Reddit data valuable?
Reddit previously didn’t gate access to its data for AI training purposes.
Called Verify, Fox and Polygon are pitching the protocol as a means for outlets to protect their IP while letting consumers verify the authenticity of content.
“The Verify protocol establishes the origin and history of original journalism by cryptographically signing individual pieces of content on the blockchain,” Melody Hildebrandt, Fox’s CTO, told TechCrunch in an email interview.
In August, Fox launched a beta version of Verify, co-developed with Polygon, to coincide with the GOP primary debate on Fox News.
But Fox has released its own tool that can be used to verify uploaded images or articles (via a URL) that match assets registered with the Verify protocol.
Using Verify, publishers can enforce controls to ensure that they’re properly compensated depending on how a vendor decides to implement their content.
Log4j, maybe more than any other recent security issue in recent years, thrust software supply chain security into the limelight, with even the White House weighing in.
Some of those may be in libraries that aren’t even used when the container is in production, but they are vulnerabilities nevertheless.
According to Slim.ai‘s latest Container Report, the average organization now deploys well over 50 containers from their vendors every month (and almost 10% deploy more than 250).
Yet only 12% of the security leaders who responded to Slim.ai’s survey said they were able to achieve their own vulnerability remediation goals.
Most companies see some disruptions multiple times a week because they detect a vulnerability in a production container, for example.
As search engine incumbents — namely Google — amp up their platforms with gen AI tech, startups are looking to reinvent AI-powered search from the ground up.
Srinivas, Perplexity’s CEO, previously worked at OpenAI, where he researched language and gen AI models along the lines of Stable Diffusion and DALL-E 3.
This reporter is skeptical about the longevity of gen AI search tools for a number of reasons, not least of which AI models are costly to run.
Concerns around misuse and misinformation inevitably crop up around gen AI search tools like Perplexity, as well — as they well should.
Some plaintiffs, like The New York Times, have argued gen AI search experiences siphon off publishers’ content, readers and ad revenue through anticompetitive means.
