ai advancements

There's so much uncertainty with AI and what's coming next. How will LLMs and other forms of AI impact our business? What can we do to prepare? Luv Tulsidas, Founder and CEO of Techolution, joins us to discuss how you can secure your business future with AI.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion:  Ask Jordan and Luv questions on AI

Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Timestamps:
01:30 Daily AI news
04:40 About Luv and Techolution
07:00 Shifting business focus to AI
10:49 Businesses seeking clarity on implementing generative AI.
14:35 Companies seek AI for personalized, brand-aligned conversation.
19:00 AI creates disruption, new jobs will emerge.
21:53 AI limited by internet knowledge, lacks human abilities.
25:15 Protecting proprietary AI, monetizing content, avoiding lawsuits.
27:34 Start with successful companies' AI transformation.
32:33 Ethical views vary in different economic systems.
36:00 AI impact on future: Innovation, adapt, bright.
38:44 AI should be done the right way.

Topics Covered in This Episode:
1. Pressure to Adopt AI in Businesses
2. Coping with Uncertain AI Environments
3. AI's Ethical Implications and Perspective on Job Protections
4. Balance and Ethical Consequences of AI Deployment
5. Future Shifts in Job Roles

Keywords:
AI in business, tech boom, practical AI solutions, FOMO in AI, large neural network models, domain-specific training, AI apprenticing, job protection, economic systems, Universal Basic Income, job layoffs, pursuing passions through AI, proprietary AI, Google and AI, data compensation, ethical AI, AI ROI, AI-generated business processes, AI and job losses, securing business future with AI, ad-funded AI chatbots, US government and AI, OpenAI's plans, artificial general intelligence, human jobs and AI, disruption of jobs by AI, problem-solving with AI, data quality in AI, AI and video content, large language models.

Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Just how capable is today’s artificial intelligence at beating humans at their own games? That’s one of the metrics tracked by an annual report put together by the Stanford Institute for Human-Centered AI, or HAI. And its latest AI Index report finds the tech is quickly gaining on humans. According to the report, AI now exceeds human capability not only in areas like simple reading comprehension and image classification, but also in domains that start to approach human logic, like natural language inference (the ability to draw inferences from text) or visual reasoning (the ability to deduce physical relationships between visual objects). Still, there are areas where the bots haven’t quite caught up. Marketplace’s Meghan McCarty Carino spoke with Nestor Maslej, research manager at HAI and editor in chief of the index report, to learn more.

Do we want ChatGPT to remember everything about us? Or, is this a new ChatGPT solution looking for a problem? We're covering ChatGPT's new cross-chat memory feature and how it might change the way you prompt. (For better or worse.)
 
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on ChatGPT

Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Timestamps:
01:55 Daily AI news
07:16 New ChatGPT memory feature
08:08 Large language models struggle with remembering conversations.
10:16 OpenAI posted about a new feature.
15:06 Training AI to generate personalized responses efficiently.
22:11 Temporary chats won't improve our GPT models.
24:29 Problematic chat behavior requires better AI training.
27:07 Custom instructions control informal tone and memory crossover.
30:23 New memory feature slowing down response times.
34:01 New memory feature works best with limits.
36:00 AI newsletter referral contest for Meta Ray-Ban glasses.

Topics Covered in This Episode:
1. ChatGPT’s New Memory Feature
2. Benefits and Drawbacks of the Memory Feature
3. Suggestions for Improving ChatGPT
4. Application and Actual Use

Keywords:
Temporary chat, UI, memory feature, ChatGPT, AI news, Elon Musk, XAI startup, AI podcast, AI newsletter, AI giveaway, smart glasses, Doctor Harvey Castro, Michael, YouTube, user engagement, memory management, corrections, Checkatrade, chat history, training data, profile improvements, referral contest, meta Ray Bans, OpenAI, paid users, settings, UI/UX improvement, auto-commit memory.

Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

Back in 2018, Dario Amodei worked at OpenAI. And looking at one of its first A.I. models, he wondered: What would happen as you fed an artificial intelligence more and more data?

He and his colleagues decided to study it, and they found that the A.I. didn’t just get better with more data; it got better exponentially. The curve of the A.I.’s capabilities rose slowly at first and then shot up like a hockey stick.

Amodei is now the chief executive of his own A.I. company, Anthropic, which recently released Claude 3 — considered by many to be the strongest A.I. model available. And he still believes A.I. is on an exponential growth curve, following principles known as scaling laws. And he thinks we’re on the steep part of the climb right now.

When I’ve talked to people who are building A.I., scenarios that feel like far-off science fiction end up on the horizon of about the next two years. So I asked Amodei on the show to share what he sees in the near future. What breakthroughs are around the corner? What worries him the most? And how are societies that struggle to adapt to change and governments that are slow to react to them supposed to prepare for the pace of change he predicts? What does that line on his graph mean for the rest of us?

This episode contains strong language.

Mentioned:

Sam Altman on The Ezra Klein Show

Demis Hassabis on The Ezra Klein Show

On Bullshit by Harry G. Frankfurt

“Measuring the Persuasiveness of Language Models” by Anthropic

Book Recommendations:

The Making of the Atomic Bomb by Richard Rhodes

The Expanse (series) by James S.A. Corey

The Guns of August by Barbara W. Tuchman

Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.

You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.

This episode of “The Ezra Klein Show” was produced by Rollin Hu. Fact-checking by Michelle Harris. Our senior engineer is Jeff Geld. Our senior editor is Claire Gordon. The show’s production team also includes Annie Galvin, Kristin Lin and Aman Sahota. Original music by Isaac Jones. Audience strategy by Kristina Samulewski and Shannon Busta. The executive producer of New York Times Opinion Audio is Annie-Rose Strasser. Special thanks to Sonia Herrero.

Twenty years ago, Google launched Gmail. Users thought the promise of 1 gigabyte of free storage was an April Fools’ joke. It wasn’t. In this episode, how Gmail came to dominate the email space — and everything connected to it. Plus, legislators rush to help workers affected by the Baltimore bridge collapse, small businesses prep for next week’s eclipse, and some states might cut funding for parent caregivers of disabled kids.

Had so much fun chatting with my good friends Trenton Bricken and Sholto Douglas on the podcast.

No way to summarize it, except: 

This is the best context dump out there on how LLMs are trained, what capabilities they're likely to soon have, and what exactly is going on inside them.

You would be shocked how much of what I know about this field, I've learned just from talking with them.

To the extent that you've enjoyed my other AI interviews, now you know why.

So excited to put this out. Enjoy! I certainly did :)

Watch on YouTube. Listen on Apple Podcasts, Spotify, or any other podcast platform. 

There's a transcript with links to all the papers the boys were throwing down - may help you follow along.

Follow Trenton and Sholto on Twitter.

Timestamps

(00:00:00) - Long contexts

(00:16:12) - Intelligence is just associations

(00:32:35) - Intelligence explosion & great researchers

(01:06:52) - Superposition & secret communication

(01:22:34) - Agents & true reasoning

(01:34:40) - How Sholto & Trenton got into AI research

(02:07:16) - Are feature spaces the wrong way to think about intelligence?

(02:21:12) - Will interp actually work on superhuman models

(02:45:05) - Sholto’s technical challenge for the audience

(03:03:57) - Rapid fire

Rates are up and so are the markets, baffling the bears. Today on the show, FT correspondents Ethan Wu and Katie Martin look at five reasons the market might be rationally booming, including investor sentiment numbers, the AI revolution, changing expectations about interest rates and several promising economic fundamentals. Also, we short the UK budget and go long our own show. 

For a free 30-day trial to the Unhedged newsletter go to: https://www.ft.com/unhedgedoffer

Follow Ethan Wu (@ethanywu) and Katie Martin (@katie_martin_fx) on X. You can email Ethan at ethan.wu@ft.com.

Read a transcript of this episode on FT.com

Hosted on Acast. See acast.com/privacy for more information.

In the first episode of the Lightcone Podcast, YC Group Partners dig into everything they have learned working with the top founders building AI startups today. They share the ideas that are working particularly well, mistakes to avoid, and take a look at the competitive landscape among the current AI giants.

With so much going on in the AI world, it can be hard to keep up with everything. From Sam Altman and Bill Gates to Apple shuttering their AI team, we're covering what you need to know this week.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode page
Join the discussion: Ask Jordan questions on AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Timestamps:
04:00 Bill Gates interview with Sam Altman
06:42 Discussion on fast pace of technological innovations.
08:14 OpenAI's Sam Altman explores GPT technology.
12:28 Don't discount Apple's AI potential despite headlines.
17:02 Summary: High-level recap of impressive AI hologram technology.
18:48 AI expected to worsen inequality, proactive measures urged.
22:30 People now rely on apps for everything.
26:47 Excited for hot take Tuesday on GPT.

Topics Covered in This Episode:
1.  Bill Gates and Sam Altman Interview
2. Apple Shuttering AI Team
3. OneX Robotics
4. AI Recap at CES
5. IMF Study Impact of AI on Jobs
6. OpenAI's GPT Store

Keywords:
AI news, Bill Gates, Sam Altman, interview, Apple AI team, Gen AI, career growth, GPT technology, OpenAI, large language model, GPT 5, Google Bard, robotics, AI impact on jobs, IMF study, advanced economies, white-collar workers, CES, holograms, GPT store, GenAI community, OpenAI Teams feature, collaboration, training data privacy, ChatGPT enterprise, hot take Tuesday.

On-device AI is coming to all of our devices. But, do we need it? From the potential benefits of increased productivity and seamless integration with our devices to concerns about privacy, resource consumption, and the lack of a "kill switch," we explore the untold side of on-device AI that no one's talking about. Join us as we uncover the hidden truths of this technological trend, discuss the impact on companies like Microsoft and Apple, and anticipate the release of llama 2 and its intriguing offline integration. Stay with us to be in the know about generative AI, and its far-reaching implications in our everyday lives.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode page
Join the discussion: Ask Jordan questions about on-device AI
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Timestamps:
00:00 Welcome to the show!
03:12 Daily AI News
06:54 Trend towards bringing generative AI to devices.
10:50 Speculation on Apple's offline/on-device AI plans.
13:59 Personal AI reduces latency, making tasks instant.
16:25 On-device AI enhances productivity, seamless integration.
20:28 GPT-3 technology requires significant resources and testing.
24:20 On-device AI downsides include lack of control.
27:06 Speech describes potential impact of AI technology.
32:36 Reduced cloud prompting by 90% using on-device AI.
33:31 Enjoyed learning about on device AI, share ideas.

Topics Covered in This Episode:
1. Concerns about implications of on-device AI
2. Anticipation around llama 2 release
3. Speculations on Apple's generative AI project
4. Benefits and drawbacks of on-device AI 
5. Integration of large language models with smart assistants
6. New AI-powered hardware devices
7. Challenges and drawbacks of on-device AI
8. Purpose of podcast and recent AI news

Keywords:
On-device AI, Kill switch, User consent, Opt-out option, Accessibility, Environmental impact, AI programs, AI technologies, Microsoft, NVIDIA, Qualcomm, Meta, Apple, Llama 2, Offline integration, Market adoption rates, Generative AI, Cloud-based AI, Large language models, Smart assistants, Alexa, Google Home, Rabbit r one, Meta Ray Ban glasses, Resource consumption, Battery life, Skynet factor, Podcast, Livestream, ChatGPT, Typeface.


Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

In July, the FT’s Rob Armstrong and Elaine Moore went head-to-head in a stock-picking competition, drafting their favourite stocks from the Magnificent Seven, the seven tech stocks dominating the markets. Today on the show, we announce the winner of our contest, and try to think about what’s in store for next year. Also we go long the rest of the S&P 500 and short AI chatbots. 

For a free 30-day trial to the Unhedged newsletter go to: https://www.ft.com/unhedgedoffer

Follow Ethan Wu (@ethanywu) and Katie Martin (@katie_martin_fx) on X. You can email Ethan at ethan.wu@ft.com.

Read a transcript of this episode on FT.com

Hosted on Acast. See acast.com/privacy for more information.

Thursday marked the one-year anniversary of the release of ChatGPT. A lot has happened since. OpenAI, the makers of ChatGPT, recently dominated headlines again after the nonprofit board of directors fired C.E.O. Sam Altman, only for him to return several days later.

But that drama isn’t actually the most important thing going on in the A.I. world, which hasn’t slowed down over the past year, even as people are still discovering ChatGPT for the first time and reckoning with all of its implications.

Tech journalists Kevin Roose and Casey Newton are hosts of the weekly podcast “Hard Fork.” Roose is my colleague at The Times, where he writes a tech column called “The Shift.” Newton is the founder and editor of Platformer, a newsletter about the intersection of technology and democracy. They’ve been closely tracking developments in the field since well before ChatGPT launched. I invited them on the show to catch up on the state of A.I.

We discuss: who is — and isn’t — integrating ChatGPT into their daily lives, the ripe market for A.I. social companions, why so many companies are hesitant to dive in, progress in the field of A.I. “interpretability” research, and America’s “fecklessness” that cedes major A.I. benefits to the private sector, and much more.

Recommendations:

Electrifying America by David E. Nye

Your Face Belongs to Us by Kashmir Hill

“Intro to Large Language Models” by Andrej Karpathy (video)

Import AI by Jack Clark.

AI Snake Oil by Arvind Narayanan and Sayash Kapoor

Pragmatic Engineer by Gergely Orosz

Thoughts? Guest suggestions? Email us at ezrakleinshow@nytimes.com.

You can find transcripts (posted midday) and more episodes of “The Ezra Klein Show” at nytimes.com/ezra-klein-podcast, and you can find Ezra on Twitter @ezraklein. Book recommendations from all our guests are listed at https://www.nytimes.com/article/ezra-klein-show-book-recs.

This episode of “The Ezra Klein Show” was produced by Rollin Hu. Fact checking by Michelle Harris, with Kate Sinclair and Mary Marge Locker. Our senior engineer is Jeff Geld. Our senior editor is Claire Gordon. The show’s production team also includes Emefa Agawu and Kristin Lin. Original music by Isaac Jones. Audience strategy by Kristina Samulewski and Shannon Busta. The executive producer of New York Times Opinion Audio is Annie-Rose Strasser. And special thanks to Sonia Herrero.