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By David Franklin on June 13, 2025 in Technology
There was a ton of action at the AI Engineer World’s Fair that has now been recapped and summarized by several knowledgeable sources. It was all curated in the Latent Space newsletter. OpenAI is back in the headlines with an update to o3 pricing, and Meta has made an incredible investment. Apple made a surprising non-announcement. If you’re looking forward to a smarter Siri, you’ll have to keep waiting.
Let’s dig in!
OpenAI
What happened
OpenAI has slashed pricing for its most powerful reasoning model, o3. Here’s a chart:
Why it matters
For those who don’t know how LLM pricing works, there are two key numbers to be considered: the cost of Input Tokens and the cost of Output Tokens. You can generally think of Input Tokens as the text that is fed to the LLM, typically the “prompt” that is given, while Output Tokens represent the text that is returned. For “omni” models like o3, tokens can also represent images, videos, sounds, etc. As an example, if you asked o3 for a blueberry muffin recipe, the total cost would be tiny fractions of a penny. But if instead, you asked it to do research on if we should repair or replace an HVAC system based on a large report of Work Orders and Equipment; that might cost several dollars. For companies like Yardi that are paying for these services, pricing is quite important, and an 80% reduction frees up a lot of capacity for us to deliver complex, powerful solutions to our customers.
Meta
What happened
Meta made a $14B investment in ScaleAI, which gives them a 49% stake in the company and also brings them Alex Wang, its (now former) CEO to lead the new Superintelligence team. ScaleAI is a large company that focuses on providing human annotated data services to all the big AI labs including Google, OpenAI, Microsoft, Anthropic, etc. Alex Wang is the youngest self-made billionaire because of it. So this is almost an “acqui-hire,” but also gives Meta access to data, which is the most important thing in AI.
Why it matters
With money at this scale being spent on data and talent, Zuckerberg is very much trying to move the needle. Meta’s Llama open-source models are quite impressive but are not really SOTA (state of the art) anymore. With the other big labs grabbing all the headlines, Meta has been struggling to stay on top. Acquiring Alex Wang and a literal firehose of data to train their models represents a big step-up for Meta. Open-source models like Llama could one day represent a big strategic advantage for Yardi should we choose to host our own AI infrastructure rather than relying on third parties like OpenAI, Anthropic and Google.
Apple
What happened
Apple’s Worldwide Developer’s Conference (WWDC) took place this week and typically, they will announce amazing new products and features. Everyone has been waiting with bated breath for an update to Siri, their AI companion. Unfortunately, Apple was not able to deliver anything new on that front. Craig Federighi had this to say, “As we’ve shared, we’re continuing our work to deliver the features that make Siri even more personal. This work needed more time to reach our high-quality bar, and we look forward to sharing more about it in the coming year.”
Why it matters
Well, if even Apple, one of the most valuable companies in the world, can’t deliver more powerful AI tools, then imagine how difficult it must be to get to the “high-quality bar” that they believe is necessary. Many software vendors are struggling to deliver value around AI tools even though they have committed significant resources to the goal. At Yardi, we have been more successful than most because we can fit AI directly into the context of our ecosystem as a whole, rather than just building point solutions. But it’s not easy!
Hume.ai
What happened
Hume.ai launched EVI 3, an incredible new speech-language model that allows users to custom design a voice based upon a simple description of what they are interested in hearing. We are again in the mind-blowing world of generative AI that can create realistic sounding human voices which can be customized in very powerful ways by a lay person in just a few minutes. You should really try it out yourself as it is super easy and quite impressive! Just click on the “Design a voice” box on the home page and it will talk you through the process.
Why it matters
Many of the tools Yardi is building utilize voice as a primary mode of interaction. Think about our chatbots built into Chat IQ or CRM IQ, for example. These tools generate speech based on text that is fed into them. One of the challenges we face is how to get the inflection right as text-to-speech doesn’t have an obvious way to control it, other than using lots of commas and exclamation marks or perhaps ALL CAPS when you really need to shout. The ability to create custom voices like this could allow us to unlock a much more subtle inflection with substantially more control. An agent who is trying to renew a lease might have quite a different tone than one that is trying to collect outstanding rent, for example.
Thank you all for tuning in. Please subscribe to be notified whenever a new post comes out, and we look forward to seeing you on the next one.
Stay curious, my friends!
-David
