Peter Goldstein retweeted
I feel like the data sovereignty movement for firms is going to run headlong into the challenge that maintaining fine-tuned small models in a way that continually beats larger general-purpose models is expensive and difficult as long as the AI exponential ability growth continues
Peter Goldstein retweeted
Very soon, the blocker to using AI to accelerate science is not going to be the ability of AI, but rather the systems of science itself, as creaky as they are.
The scientific process is already breaking under a flood of human-created knowledge. How do we incorporate AI usefully?
Peter Goldstein retweeted
Amusing how 99% of people interacting with reality forget how this thing works.
It's an advanced extremization machine. It generates the next instant of time based on the Cauchy surface and the action.
Under the hood, it's a giant volume integral that has eerily good output.
Peter Goldstein retweeted
Working on Torch 🔥 Unified health record + LLM in one iOS app.
Syncs records from hospitals, labs, Function, One Med, PDFs etc. Makes it simple & fast to get all your health data in one place + get LLM help making sense of it.
Reply/RT for TestFlight invite. More below ⬇️
Peter Goldstein retweeted
We know how to assign responsibility for automated systems, many decision-making systems are already automated in modern firms (it is why the classic IBM sign never made a lot of sense to me.) What is much harder is the wider question of who is change of organizational change.
Peter Goldstein retweeted
As an aside: if tech could export one cultural quirk to the rest of the world, it should be the culture of end to end ownership and agency, ideally throughout the chain and in the avatar of the founder if we cannot manage that.
Peter Goldstein retweeted
We hope MIT will follow Harvard's lead on institutional neutrality, because it's good in itself, but also because, frankly, we'd like to be out of the position of telling MIT it should be more like Harvard as soon as possible. Just not a natural state for us.
via @conor64: "As university leaders pronounce less, faculty and students should feel more free to step up and speak up, not on behalf of any collective, but as individuals who prefer constructive discourse to groupthink. For those who crave pronouncements from the top, there is still religion."
theatlantic.com/ideas/archiv…
Peter Goldstein retweeted
In 2006, I was 1 of 4 designers on Google Search.
For 20 years, every search engine has copied Google.
Now ChatGPT, Bard + Claude look like Google's offspring - "better” search engines.
But last week signaled we're on the brink of a design revolution.
ChatGPT unveiled incredible new features.
These could give us the opportunity to completely shift how we interface with AI.
Here's the full story:
–––
When I was a designer on Google Search, all major search engines looked the same – Google, Yahoo, MSN Bing.
Google was the market leader with a heavily optimized UI that supported billions of dollars in ad revenue.
Naturally, it became THE way to show search results.
Its success made it illogical for Google to consider big UI changes.
And any changes they did make were just mirrored by everyone else.
So 20 years later, we’ve only seen incremental changes to search engine UIs.
–––
Today, we have consumer-ready LLMs (Large Language Models) freshly in our hands.
As consumer products, these are in their infancy.
We’re very early in understanding their capabilities and defining how people interact with them.
These are uncharted waters.
And yet ChatGPT, Bard, Claude etc. all chose a text-based input box — just like Google’s search box — as the core interface.
Why?
The input box is simple, versatile, and familiar.
- It’s simple to understand → you type your questions into the box.
- It’s versatile → the box can handle all sorts of questions/queries.
- The paradigm is super familiar → people immediately know how to use it.
Because of this, LLMs have essentially become “a better Google.”
–––
But last week’s ChatGPT announcements thrust open the doors to new possibilities.
ChatGPT is now multi-modal — it can see, hear, and speak.
These are the recent announcements from @OpenAI :
Voice: teapaw.org/OpenAI/status/17…
Photos: teapaw.org/OpenAI/status/17…
The example of ChatGPT explaining how to lower a bike seat was incredible.
But, it could be so much better!
The video showed you'll have to post multiple new photos to keep adding new information and to progress the conversation.
It was still a linear conversation centered around the text box.
But what if we rethought the interface to center around the image?
What if ChatGPT supported both images AND voice simultaneously?
Could we end up with a more immersive experience?
–––
How else could interacting with LLMs mimic IRL conversations?
Could we (or the AI) pinch to zoom or rotate the image?
Could we interact in real time with video?
What new possibilities open up with context being preserved over time?
–––
There is so much energy and excitement around what AI can do.
But we are limiting the potential by assuming the conversation box is the best interface.
Right now, designers have the chance to create truly novel interactions and bust through the 20+ year old search UI paradigm.
The ideas above are just to illustrate some potential options.
But they are also intended to spark a flame.
Now is the opportunity to be creative and explore divergent UIs.
What are the craziest, coolest, most creative UI ideas we can unleash?
LFG 🚀
ChatGPT can now see, hear, and speak. Rolling out over next two weeks, Plus users will be able to have voice conversations with ChatGPT (iOS & Android) and to include images in conversations (all platforms).
openai.com/blog/chatgpt-can-…
Had a number of great conversations about generative AI at yesterday's Fortune #CEOInitiative event. During one such conversation I was reminded of an old science fiction story (Melancholy Elephants by Spider Robinson) that I think has relevance for today's debates 🧵 (1/?)
How we answer that question likely changes our views on what content should be used to train generative AI systems. (4/?)
Peter Goldstein retweeted
Here’s what @Toptal’s @PeterGoldstein has to say about why we need sophisticated authentication in a world where generative #AI means “You can’t trust what you see.”
#ToptalPartner #Collision2023
Peter Goldstein retweeted
Generative AI: The Hottest Topics at Collision (Part 2)
Productivity Increase
We are still in the early days with Generative AI. There is a huge amount of untapped potential. ChatGPT can suggest code, but it can also do many other functions, for instance project management
Peter suggested looking at ChatGPT the same way you’d look at a team:
Think of ChatGPT as a Team
Many people think about ChatGPT as a lone genius. But you can think about it as an entire team
Just as we put different people together in a team, you have different prompt threads, you have different contexts. Such as front-end developer, back-end developer, project manager who breaks big projects into smaller tasks, user interface (UI) designer
So thinking about ChatGPT in tackling ambitious large projects, breaking it down into functional disciplines, and developing each one, and having the system work on inter dependencies, can really increase productivity
So every person on your project team – every discipline – will benefit from being skilled and well versed in using AI
Jim: Every year I go to Davos and the most recent World Economic Forum Jobs report suggests that we’ll all need an ADDITIONAL 20 days of training and upskilling to keep up with the pace of change. Is the talent in your organization meeting that requirement?
Conclusion: A Mosaic Moment
We are living in a Mosaic moment. Mosaic released in 1993 gave birth to the visual web. The internet had been around for decades but required using UNIX commands. It was hard to learn, unforgiving, and was only adopted by researchers and geeks
With the birth of the web with Mosaic, then Netscape, then IE, the web became accessible to millions and then billions of people. The growth was exponential much like ChatGPT and generative AI today
Every day there was a new functionality. And every day an entrepreneur figured out a new business use case. It’s the same with Generative AI and ChatGPT
In this new era, are you upskilling? Is your organization evolving at the rate that the technology is enabling new ways of enhancing customer value and new business models?
Jim: Exponential Organizations 2.0 (just published) notes that ExOs grow at ten times faster than traditional companies. A key principles is talent on demand. Large organizations globally use only 3% of talent on demand now, but author Salim Ismail predicts that will rise to 30% by 2033
Is your organization aligned with this principle that accelerates growth? As the relevance of old skills declines and the need for new ones is emerging rapidly, is your organization keeping up?
Toptal is an exclusive network of the top 3% of talent globally – freelance software developers, designers, finance experts, product managers & project managers focused on the most in demand skills. More at: topt.al/ZwcM3V
FUN! This Globe and Mail pic 3 days ago is me standing with the Collision sign in 2022!
#ai #generativeai #FutureOfWork #freelance #CollisionConf
Peter Goldstein retweeted
Generative AI: The Hottest Topics at #CollisionConf
#AI & #GenerativeAI were the hottest topics at Collision
Toptal Generative AI Thought Leader Peter Goldstein gave a Masterclass on Generative AI and I interviewed him afterwards. Here are some of the profound insights:
It was a pleasure to speak at #Collision2023 this week.
This quoted post is unavailable.
Peter Goldstein retweeted
Are you curious about the rapid evolution of AI?
Excited to attend The Generative AI Revolution Masterclass hosted by @Toptal & @petergoldstein Tomorrow at @CollisionHQ! Stay posted with me on Twitter & LinkedIn for learnings. #CollisionConf #ToptalPartner
I'm happy to announce the v1.1.0 release of Asimov, an @OpenAI client written in Ruby and designed for use in web applications that may use multiple OpenAI configurations.
github.com/petergoldstein/as…
This version of Asimov includes support for the @OpenAI Chat and Audio APIs released today. It also supports substitution of the base URI, allowing the use of services like @helicone_ai.
We're looking for more contributors to help add key features like streaming and Azure Cognitive Services support, as well as to fill out documentation and help choose a logo. Come check it out!
github.com/petergoldstein/as…