Video wird geladen...

Video konnte nicht geladen werden

Zur Startseite

We’ve open-sourced the UI infrastructure for Blocks/Artifacts/Canvas-like AI chat experiences. BYO model. I see huge potential in bringing this UX paradigm to new verticals: productivity, finance, travel, health, legal, logistics… Happy hacking 🤘

234,210 Aufrufe • vor 1 Jahr •via X (Twitter)

9 Kommentare

Profilbild von Guillermo Rauch
Guillermo Rauchvor 1 Jahr

We have more announcements coming and a big vision for this project. Stay tuned!

Profilbild von Omar  ☥
Omar ☥vor 1 Jahr

The philosophy of Vercel is remarkable.

Profilbild von Guillermo Rauch
Guillermo Rauchvor 1 Jahr

🫡

Profilbild von Mike Chong (WildCat) 🏔️⭐️
Mike Chong (WildCat) 🏔️⭐️vor 1 Jahr

love it! even with next auth!

Profilbild von Seve
Sevevor 1 Jahr

Using @tscircuit you could also build electronics this way!

Profilbild von Ayman
Aymanvor 1 Jahr

Do you mean this can be run completely locally using Llama or Gemini Models?

Profilbild von Guillermo Rauch
Guillermo Rauchvor 1 Jahr

Yes

Profilbild von Philip Vollet
Philip Volletvor 1 Jahr

@aestheticedwar1

Profilbild von Parker Rex
Parker Rexvor 1 Jahr

YESSSS

Ähnliche Videos

[New] from a16z speedrun: The Outsider founders are winning the AI B2B race we used to say founder x market fit was everything but in this AI wave, Outsider founders who are AI native are outmaneuvering their industry veteran competitors just look at Tennr (healthcare), (finance), (logistics), Eve (legal) & Decagon (customer support)..... these are all Outsider founders w/ no prior experience in the verticals they now sell into so why is this? #1 - right now, AI technical excellency trumps industry expertise --> These founders combine AI fluency w/ exceptional problem solving skills to quickly map the inner workings of a vertical from an Outsiders perspective and how AI can automate that work --> many will bring on a "board of Insider advisors" early to help validate their approaches and leverage their rolodex #2 - new verticals w/out a scaled SaaS player are now in play --> Agentic AI products don’t just help workers become more efficient, they can take action and complete work autonomously --> Therefore companies can spend way more for these products as they don't just tap into IT budgets, they actually displace labor spend --> That means that offline verticals w/ historically small IT budgets and no vertical SaaS winners are now ripe for a venture scaled vertical AI disruptor = from food distribution to car dealerships to home services to agriculture, it will be Outsiders who will come in and automate the backoffice functions for these verticals #3 - the barriers for Outsiders to sell into the enterprise have dropped dramatically --> most companies have a tops-down mandate and dedicated budget to explore AI initiatives. They’re actively pulling new solutions into their organizations and open to experimenting with pilot partners --> for some products, where PLG and bottoms-up adoption makes sense, Outsiders can let their product and marketing strategies be their ticket into their buyer so, today, founder - market fit should be based on required skillsets to win in a space, not simply on tenure & domain expertise in a vertical here at speedrun we’ve invested in teams of exceptional Outsiders such as Artifact AI (accounting), Anchr (food distribution), Bead (SOX compliance) + many more if you’re a team of Outsiders primed to disrupt a boring business, head to sr [dot] a16z [dot] com to apply for speedrun

Troy Kirwin

81,913 Aufrufe • vor 1 Jahr

The DEPRESSING reality of AI adoption curves Advanced AI just broke into it's third major paradigm since launching. Paradigm One was the simple autocomplete engine. GPT-2 and original GPT-3 were glorified autocomplete tools, just "next token predictors." Paradigm 1.5 was when we added "instruct-aligned" GPT-3, which set the stage for Paradigm Two. Paradigm Two was the chatbot era, with ChatGPT being the front-runner. Paradigm 2.5 was when we started adding reasoning, tool use, and RAG, which set the stage for agentic abilities (Paradigm 3). OpenClaw just blew the lid off Paradigm 3, and we're just at the beginning of this new ramp-up in capabilities. The thing is... each of these paradigm shifts creates fundamentally different UX and technical affordances. While most Fortune 500 companies are still struggling to figure out the cyber security, legal, and financial risks of chatbots, the industry is going whole hog into autonomous agents. And many people will try to graft their understanding of chatbots onto agents. But that's like trying to compare the electric lightbulb to the electric motor.... ...yes they both ran on electricity, but their uses, affordances, limitations, and risks were fundamentally different. Yes, autocomplete, chatbots, and agents all run on "next token prediction" but that's like saying "it all runs on electrons." My goal today is to help give you a better intuition as to why adoption is so slow and to give you a new reference frame to understand that agents are a phase change from chatbots. But also... the state and big companies are going to move depressingly slow on all of this...

David Shapiro (L/0)

17,266 Aufrufe • vor 8 Monaten