Nova Intelligence has raised a $31.5 million Series A led by Chemistry, Fortune exclusively learned, bringing total funding to more than $40 million. https://t.co/IvstNc2Ya8
I'm thrilled to announce @nova_ai's $40M funding across a Series A led by @chemistry and a Seed led by @Accel, with participation from @conviction and SAP's venture arm https://t.co/UuQkPJw9H0.
@emollick There's something joyful in a technology forcing me to update my understanding of what "creativity" is, because I also have a hard time arguing this isn't real creativity
congrats to the very special team @cognition (@ScottWu46@stevenkplus1@walden_yan) on their newest fundraise -- and their big deployments
turns out competitive programming (and density of intelligence) does translate well to company-building
Confused by the latest SAP "clean core" hubbub? Let's break it down and crack it wide open! How did 3 tiers become 4 levels and what does it mean for you? Only one way to find out: watch it!
#SAP#ABAP
https://t.co/jvDDoadERJ
We are opening up a new role at Quora: a single engineer who will use AI to automate manual work across the company and increase employee productivity. I will work closely with this person.
strong agree
but also believe we'll see a surge of more people using code for creative expressionโwithout explicitly needing to *see* that code, or learn languages, frameworks, design patterns
programming languages aren't The Thing, they're the thing that gets you to The Thing
@dmitriid Iโd love to hear more about the setup/languages/prompts/etc in your scenario. I think people should aggressively share these counter examples.
I wish more people were taking seriously the possibility that @ezraklein and the leadership of the AI labs are raising: that AGI is a real possibility in the near future.
You don't have to buy it yourself, but leaders & policymakers need to consider the possibility it is true.
Iโve enjoyed this whole discussion. I especially appreciate @AmandaAskell โs formulation in the first sentence of this tweet.
Iโm often not sure how to respond to those who make the same inferential leap, and this formulation helps my communication. Thank you, Amanda.
I claimed the inference from X="LLMs are next token predictors" to Y="LLMs lack understanding, etc." is fallacious. Marcus claims that I'm saying not-X and not-Y. So I guess I'll point out that the inference "Y doesn't follow from X" to "not-X and not-Y" is also fallacious.
I donโt know what numbers Iโd have guessed, but software dev being a top use is exactly what Iโd have guessed prior to seeing the data.
AI/LLMs might not be perfect software engineers yet, but they sure as hell know about code
Interesting! Based on โThe @AnthropicAI Economic Indexโ (millions of Claude conversations) AI usage is currently concentrated in software development and technical writing.
TL;DR:
๐ป Computer & Mathematical jobs dominate AI usage (37.2% of queries) despite being only 3.4% of workforce
๐ Writing/editing tasks are second most common (10.3% of queries)
๐ค AI augments human work (57%) more than automates it (43%)
๐ผ 36% of jobs use AI for at least 25% of tasks, only 4% use it for 75%+ of tasks
๐ฐ Mid-to-high wage jobs show highest AI adoption, both lowest and highest wage jobs show minimal usage
๐ Tasks are being enhanced rather than jobs being fully automated
๐ Analysis based on real usage data from millions of Claude ai conversations
๐ฏ Usage concentrated in specific tasks rather than entire occupations