DAI#59 – APIs, lifeless payments, and NVIDIA opens up

Summarize this content material to 100 phrases
Welcome to our weekly roundup of human-crafted AI information.
This week OpenAI handed out API goodies.
California’s AI security invoice acquired killed.
And NVIDIA shocked us with a strong open mannequin.
Let’s dig in.
Right here come the brokers
OpenAI didn’t announce any new fashions (or Sora) at its Dev Day occasion, however builders have been excited over new API options. The Realtime API will probably be a game-changer for making smarter functions that talk with customers and even act as brokers.
The demo was actually cool.
There have been rumors about OpenAI going the “for-profit” route and awarding Sam Altman billions of {dollars} in fairness however Altman dismissed these. Even so, the corporate is on the drive for extra funding they usually’ll count on some return for his or her money.
Apple has built-in OpenAI’s fashions into its units however dropped out of the newest funding spherical for OpenAI which is anticipated to lift roughly $6.5 billion.
We’re unsure why Apple doesn’t need a piece of the OpenAI pie nevertheless it might need one thing to do with new developments with its Apple Intelligence. Or possibly it’s associated to Sam Altman’s demand for exclusivity.

Inform me you don’t have any moat with out telling me you don’t have any moat. pic.twitter.com/3I18MosvOg
— Pedro Domingos (@pmddomingos) October 3, 2024

Kill invoice
Gavin Newsom needed to determine between placing a security rev limiter on AI builders or letting them go full steam forward. In the long run, he determined to veto California’s SB 1047 AI security invoice and supplied some fascinating explanation why.
Are we actually at some extent the place we face real AI dangers but?

Properly that escalated rapidly https://t.co/xhZCITRJjE pic.twitter.com/aLZn4blS8G
— AI Notkilleveryoneism Memes ⏸️ (@AISafetyMemes) September 30, 2024
Newsom has signed a variety of AI payments during the last month associated to deepfakes, AI watermarking, youngster security, performers’ AI rights, and election misinformation. Final week he signed AB 2013 which is able to actually shake issues up for LLM creators.
The invoice says that on or earlier than January 1, 2026, builders might want to present a high-level abstract of the coaching dataset of any fashions constituted of January 1, 2022 onward if the mannequin is made out there in California. A few of these necessities may air some soiled secrets and techniques.
Extra EU AI regs
The EU is clearly much more involved about AI security than the remainder of the world. Both that or they only take pleasure in writing and passing laws. This week they kickstarted a venture to jot down an AI code of follow to aim to steadiness innovation & security.
If you see who heads up the security technical group you’ll have a good suggestion of which method they’ll be leaning.
Liquid basis fashions
​Transformer fashions are what gave us ChatGPT however there’s been a whole lot of debate just lately about whether or not they are going to be as much as delivering the subsequent leap in AI. An organization referred to as Liquid AI is shaking issues up with its Liquid Basis Fashions (LFMs).
These aren’t your typical generative AIs. LFMs are particularly optimized to handle longer-context information, making them splendid for duties must deal with sequential information like textual content, audio, or video.
The LFMs obtain spectacular efficiency with a a lot smaller mannequin, much less reminiscence, and fewer compute.
NVIDIA opens up
Nvidia simply dropped a game-changer: an open-source AI mannequin that goes head-to-head with massive gamers like OpenAI and Google. Their new NVLM 1.0 lineup, led by the flagship 72B parameter NVLM-D-72B, shines in each imaginative and prescient and language duties whereas additionally leveling up text-only capabilities.
With open weights and NVIDIA’s promise to launch the code, it’s getting tougher to justify paying for proprietary fashions for lots of use circumstances.
NVLM-D benchmarks. Supply: arXiv
Simply say know
A brand new research discovered that the newest giant language fashions (LLMs) are much less prone to admit once they don’t know a solution to a consumer’s query. When customers ask these fashions a query they’re extra prone to make one thing up reasonably than admit they don’t know the reply.
The research highlights the necessity for a basic shift within the design and improvement of general-purpose AI, particularly when it’s utilized in high-stakes areas. Researchers are nonetheless attempting to grasp why AI fashions are so eager to please us as a substitute of claiming: ‘Sorry, I don’t know the reply.’
AI inside
It looks as if everyone seems to be slapping an “AI” label on their merchandise to drag in clients. Listed below are a number of AI-powered instruments which are really price testing.
Bluedot: Report, transcribe, and summarize your conferences with AI-generated notes and not using a bot.
Guidde: Guidde magically turns your workflows into step-by-step video guides, full with AI-generated voiceovers and pro-level visuals, all in only a few clicks.
In different information…
Listed below are another clickworthy AI tales we loved this week:

And that’s a wrap.
If you happen to dwell in California we’d like to know the way you are feeling about SB 1047 getting vetoed. Is it a missed alternative for AI security or a optimistic step that can see us get AGI quickly? With highly effective open-source fashions like NVIDIA’s new bombshell, it’s going to be tougher to control LLMs anyway.
OpenAI’s Realtime API was the spotlight this week. Even if you happen to’re not a developer, the prospect of interacting with smarter customer support bots that discuss to you is fairly cool. Until you’re employed as a customer support agent and also you’d prefer to preserve your job that’s.
Tell us what you assume, observe us on X, and ship us hyperlinks to chill AI stuff we could have missed.

rewrite this title DAI#59 – APIs, lifeless payments, and NVIDIA opens up
rewrite this content material and preserve HTML tags
Welcome to our weekly roundup of human-crafted AI information.
This week OpenAI handed out API goodies.
California’s AI security invoice acquired killed.
And NVIDIA shocked us with a strong open mannequin.
Let’s dig in.
Right here come the brokers
OpenAI didn’t announce any new fashions (or Sora) at its Dev Day occasion, however builders have been excited over new API options. The Realtime API will probably be a game-changer for making smarter functions that talk with customers and even act as brokers.
The demo was actually cool.
There have been rumors about OpenAI going the “for-profit” route and awarding Sam Altman billions of {dollars} in fairness however Altman dismissed these. Even so, the corporate is on the drive for extra funding they usually’ll count on some return for his or her money.
Apple has built-in OpenAI’s fashions into its units however dropped out of the newest funding spherical for OpenAI which is anticipated to lift roughly $6.5 billion.
We’re unsure why Apple doesn’t need a piece of the OpenAI pie nevertheless it might need one thing to do with new developments with its Apple Intelligence. Or possibly it’s associated to Sam Altman’s demand for exclusivity.

Inform me you don’t have any moat with out telling me you don’t have any moat. pic.twitter.com/3I18MosvOg
— Pedro Domingos (@pmddomingos) October 3, 2024

Kill invoice
Gavin Newsom needed to determine between placing a security rev limiter on AI builders or letting them go full steam forward. In the long run, he determined to veto California’s SB 1047 AI security invoice and supplied some fascinating explanation why.
Are we actually at some extent the place we face real AI dangers but?

Properly that escalated rapidly https://t.co/xhZCITRJjE pic.twitter.com/aLZn4blS8G
— AI Notkilleveryoneism Memes ⏸️ (@AISafetyMemes) September 30, 2024
Newsom has signed a variety of AI payments during the last month associated to deepfakes, AI watermarking, youngster security, performers’ AI rights, and election misinformation. Final week he signed AB 2013 which is able to actually shake issues up for LLM creators.
The invoice says that on or earlier than January 1, 2026, builders might want to present a high-level abstract of the coaching dataset of any fashions constituted of January 1, 2022 onward if the mannequin is made out there in California. A few of these necessities may air some soiled secrets and techniques.
Extra EU AI regs
The EU is clearly much more involved about AI security than the remainder of the world. Both that or they only take pleasure in writing and passing laws. This week they kickstarted a venture to jot down an AI code of follow to aim to steadiness innovation & security.
If you see who heads up the security technical group you’ll have a good suggestion of which method they’ll be leaning.
Liquid basis fashions
​Transformer fashions are what gave us ChatGPT however there’s been a whole lot of debate just lately about whether or not they are going to be as much as delivering the subsequent leap in AI. An organization referred to as Liquid AI is shaking issues up with its Liquid Basis Fashions (LFMs).
These aren’t your typical generative AIs. LFMs are particularly optimized to handle longer-context information, making them splendid for duties must deal with sequential information like textual content, audio, or video.
The LFMs obtain spectacular efficiency with a a lot smaller mannequin, much less reminiscence, and fewer compute.
NVIDIA opens up
Nvidia simply dropped a game-changer: an open-source AI mannequin that goes head-to-head with massive gamers like OpenAI and Google. Their new NVLM 1.0 lineup, led by the flagship 72B parameter NVLM-D-72B, shines in each imaginative and prescient and language duties whereas additionally leveling up text-only capabilities.
With open weights and NVIDIA’s promise to launch the code, it’s getting tougher to justify paying for proprietary fashions for lots of use circumstances.
NVLM-D benchmarks. Supply: arXiv
Simply say know
A brand new research discovered that the newest giant language fashions (LLMs) are much less prone to admit once they don’t know a solution to a consumer’s query. When customers ask these fashions a query they’re extra prone to make one thing up reasonably than admit they don’t know the reply.
The research highlights the necessity for a basic shift within the design and improvement of general-purpose AI, particularly when it’s utilized in high-stakes areas. Researchers are nonetheless attempting to grasp why AI fashions are so eager to please us as a substitute of claiming: ‘Sorry, I don’t know the reply.’
AI inside
It looks as if everyone seems to be slapping an “AI” label on their merchandise to drag in clients. Listed below are a number of AI-powered instruments which are really price testing.
Bluedot: Report, transcribe, and summarize your conferences with AI-generated notes and not using a bot.
Guidde: Guidde magically turns your workflows into step-by-step video guides, full with AI-generated voiceovers and pro-level visuals, all in only a few clicks.
In different information…
Listed below are another clickworthy AI tales we loved this week:

And that’s a wrap.
If you happen to dwell in California we’d like to know the way you are feeling about SB 1047 getting vetoed. Is it a missed alternative for AI security or a optimistic step that can see us get AGI quickly? With highly effective open-source fashions like NVIDIA’s new bombshell, it’s going to be tougher to control LLMs anyway.
OpenAI’s Realtime API was the spotlight this week. Even if you happen to’re not a developer, the prospect of interacting with smarter customer support bots that discuss to you is fairly cool. Until you’re employed as a customer support agent and also you’d prefer to preserve your job that’s.
Tell us what you assume, observe us on X, and ship us hyperlinks to chill AI stuff we could have missed.