Digging in here more... why would you say it isn't in Anthropic's interest to win the "agentic coding UI" market?
My mental model is that these foundation model companies will need to invest in and win in a significant number of the app layer markets in order to realize enough revenue to drive returns. And if coding / agentic coding is one of the top X use cases for tokens at the app layer, seems logical that they'd want to be a winner in this market.
Is your view that these companies will be content to win at the model layer and be agnostic as to the app layer?
It's very telling in these conversations to see who is actively updating their mental models based on the latest capabilities, versus who is responding to state of the art six months ago. Humans are not naturally wired to understand exponentials.
I'm a product-focused founder. I read this a few years ago when starting out with selling my company's product, and it helped me reframe sales as something essential to most of our jobs in the knowledge economy.
There's a compelling argument that persuasion and storytelling are core human activities, rather than the domain of extroverted "salespeople". Adopting that mental model was just as useful for me as learning the tactics of how to be effective at sales.
Designlab is an online platform for expert-driven creative skills education. We're looking for a talented full-stack developer to help us improve and expand our rapidly-growing online education play. You'll be exposed to a wide range of exciting work with us, including but not limited to: customer-facing features to support our global student & mentor base; tools to augment the superpowers of our internal team; workflows to improve payments, dev ops, and other critical processes; and growth/marketing-related experiments.
Backend: Python, Django, React, Angular, AWS
Benefits: Generous PTO, 401k, healthcare, choose your Mac setup
Designlab is an online platform for expert-driven creative skills education. We're looking for a talented full-stack developer to help us improve and expand our rapidly-growing online education platform. You'll be exposed to a wide range of exciting work with us, including but not limited to: customer-facing features to support our global student & mentor base; tools to augment the superpowers of our internal team; workflows to improve payments, dev ops, and other critical processes; and growth/marketing-related experiments.
Backend: Python, Django, React, Angular, AWS
Benefits: Generous PTO, 401k, healthcare, choose your Mac setup
Not the answer to OP's question so apologies—but does anyone have insight on how PPP funds were actually distributed to banks across the nation? i.e. were banks given specific allotments of the total capital pool that they could distribute to their clients... or was there a general SBA FIFO queue that each bank simply had to submit their clients' applications to once they processed them internally?
The entire point is that we have no evidence that this program is "successfully lending money out". It's lending money out, yes, but with paltry oversight and no ability for the taxpaying public to verify that it's achieving its intended aims.
We just started using Guru (getguru.com) for our 13-person remote team (trydesignlab.com), and it's been quite effective. Some key features that we love:
- Simple UI with well-known metaphors like cards and collections — each task or process you have as a company can live in a separate card
- Tagging combined with lightning-fast search
- A bookmarklet that allows you to search your Guru knowledge base from any other site you're on (really handy for our support agents who want to look up a manual process without leaving their support workflow in Zendesk)
- A "verification" workflow that ensures your knowledge base is up-to-date (previously a huge issue in any sort of wiki / document-based solution — you never know if what you're reading is the latest piece of info, or whether it's been updated since). Cards can be assigned to an owner who can be reminded to verify the information on a periodic basis (e.g. every 2 weeks, 4 weeks, etc.), and anyone viewing a card knows whether it's been recently verified
- The ability to ask questions to individuals / groups within Guru, with answers turned into new cards. Instead of tapping someone's shoulder (or sending them a Slack message), we now ask for info within Guru, organically growing our team's shared knowledge base over time
Overall this has been a tremendous find for us. We had a number of core processes (support, operations, payments, dev, marketing, sales) that lived in various Google Docs (including one monolithic 'Process Guide' doc), but that system was growing extremely cumbersome to use. We strongly considered Confluence, but stayed away after a short trial revealed how bloated the product was — we knew ramping the team up would be a nightmare.
So far Guru's been a winner — would recommend giving it a spin.
"Each person is at each moment capable of remembering all that has ever happened to him and of perceiving everything that is happening everywhere in the universe. The function of the brain and nervous system is to protect us from being overwhelmed and confused by this mass of largely useless and irrelevant knowledge, by shutting out most of what we should otherwise perceive or remember at any moment, and leaving only that very small and special selection which is likely to be practically useful. According to such a theory, each one of us is potentially Mind at Large."
Cursory reading of texts in timeless traditions like Zen, Advaita Vedanta, Hinduism, and other mystic philosophical systems will reveal similar concepts — as will self-inquiry.
That we're beginning to approach a scientific/mathematical explanation of these metaphysical principles is no surprise to me.
There was a good episode on the podcast "Invisibilia" discussing this topic of expectations influencing/shaping reality: http://www.thisamericanlife.org/radio-archives/episode/544/b.... Some pretty fascinating stories in this one; well worth a listen! I believe Dweck is referenced/interviewed early on in the episode.
Apart from the desire to learn those skills that you state is driven by fear, with a bit of introspection can you cut through that and articulate your actual core desires? i.e. when you're able to quiet that nagging voice, what topics/subjects/work bring you true joy/pleasure? Put differently — if you had infinite money what would you want to spend your time working on?
Hey! Each lesson is intended to be a bite-sized 10-15 minutes, with related links and a hands-on exercise you can do after. The goal is to equip you with the basics and give you a strong foundation that you can use to dive in to more details later, if you'd like.
My mental model is that these foundation model companies will need to invest in and win in a significant number of the app layer markets in order to realize enough revenue to drive returns. And if coding / agentic coding is one of the top X use cases for tokens at the app layer, seems logical that they'd want to be a winner in this market.
Is your view that these companies will be content to win at the model layer and be agnostic as to the app layer?