Wow, American AI labs are now quite close in ethical competition to their Chinese counterparts heh.
It seems we're truly in a power war rn.
548 karma · joined April 30, 2018
It seems we're truly in a power war rn.
There’s a famous example from the Lucasfilm/Pixar deal: a Lucasfilm exec used to arrive late as a power move, until Steve Jobs started the meeting exactly on time without him. The exec walked in 5 minutes later and had already lost the room. And Jobs gets the deal.
Personally, I find it hard to fully identify with either the left or the right. I share beliefs and values from both sides, depending on the issue. This makes it difficult to adopt a clear-cut political label, and I think that's true for many people.
Politics today often feels more like a battle of narratives than a clash of core principles / values.
p.s. my perspective is non-US one.
say, if tiktok launches an ai app store, it won’t be for complex software—it’ll start with low-friction, high-retention apps: ai-powered video enhancements (think face-swaps, lip sync, object replacement) or micro-utilities, something like ASim does.
for platforms, it’s obvious—more engagement, higher monetization, and a new vertical.
for creators, it’s a no-brainer—why funnel traffic to some app store when you can keep users inside tiktok, get them to install, and even monetize directly?
even the infamous 30% app store cut could be creatively sidestepped—imagine launching your own meme coin for in-app purchases instead.
if you're tracking users for analytics using cookies, fingerprinting, or any other method that identifies them (even probabilistically), you generally need explicit consent under GDPR and similar privacy laws. The key point is that it's not just about cookies; any persistent tracking requires consent.
The term cha (茶) is “Sinitic,” meaning it is common to many varieties of Chinese dialects. Meanwhile, the word tea comes from the Min Nan variety of Chinese, spoken in the coastal Fujian province, where the character 茶 is pronounced te.
countries receiving tea overland (e.g., via the Silk Road) adopted forms of “cha,” while those trading by sea through Fujian ports adopted forms of “te.”
The project visualise perfectly this distinction.
Will try to visit the country in March and share some notes in public web
I'm not sure how the sentiment is in developed countries like the US and the UK. Still, here in Latin America, this presents an opportunity for poorer communities to provide dinner for a family.
1. FAQ/Knowledge bases with search functionality.
2. Conversational mediums and agent notifications (e.g., live chat widget, messenger support).
3. Ticket management systems and agent management, which is the core of Zendesk/Intercom. This is the most difficult to operationalize as it requires process architecture, SLA management, etc.
4. Orchestration and workflow management, which can be done inside #3, though some products are available as well.
Most new post-LLM startups target #2 but face platform risks as they rely on companies covering #1, #3, and #4 (e.g., Zendesk, Intercom, Gorgias).
I feel InKeep doing some combination of #2 but emphasising that you can support client whenever they are (ie Github, Discord, Slack) instead of asking them to submit tickets in the website widget.
Another issue for AI support startup is the verticalization/horizontal trap. Most LLMs require solid tuning per client, especially for enterprises like us. Startups often avoid this initially, opting for a more horizontal general path (e.g., AI support for Shopify merchants). This is where enterprise players are more beneficial. Thus companies like ServiceNow, Zoom, and Oracle offer products for support and implementation services.
Neat business imo.