robbiemitchell
It's also the company that built crap Cybertrucks and the fake humanoid Bots controlled by people remotely.
They will never deliver this. It's an excuse to justify SpaceX rescuing Tesla. Meanwhile, SpaceX is primarily Starlink, a telecom company, masquerading as space exploration and AI.
For any task, whether code or a legal document, immediately asking "What can be done to make it better?" and/or "Are there any problems with this?" typically leads to improvement.
Apple and Goldman Sachs Fined by the CFPB
"key differentiator" and not necessarily easy to pull off or pay for
After years of raising 3 kids, you would think if I ask to add diapers to the cart, it would know something. But no, it would just go with whatever is the top recommended, or first in a search, or something like that. Nothing using the brand or most recent sizes we purchased.
There was no serious attempt to drive real commerce. Instead, Alexa became full of recommendation slots that PMs would battle over. "I set that timer for you. Do you want to try the Yoga skill?"
On the other hand, they have taken on messy problems and solved them well, but not using technology, and for no real financial gain. For example, if you ask for the score of the Tigers game, Alexa has to reconcile which "Tigers" sports team you mean among both your own geography and the worldwide teams, at all levels from worldwide to local, across all sports, might have had games of interest. People worked behind the scenes to manage this manually, tracking teams of interest and filling intent slots daily.
You work around it with post-processing and retries. But it’s still a bit brittle given how much stuff happens downstream without supervision.
- Generate targeted LLM micro summaries of every record (ticket, call, etc.) continually
- Use layers of regex, semantic embeddings, and scoring enrichments to identify report rows (pivots on aggregates) worth attention, running on a schedule
- Proactively explain each report row by identifying what’s unusual about it and LLM summarizing a subset of the microsummaries.
- Push the result to webhook
Lack of JSON schema restriction is a significant barrier to entry on hooking LLMs up to a multi step process.
Another is preventing LLMs from adding intro or conclusion text.
The real problem is that most people don’t want to pay for things.
If the API is being used to support something new -- i.e., not a replacement for a user on the site, but as a new revenue source -- it will be priced to maximize overall API revenue, or overall revenue as an indirect result of growth supported by the API. (Maybe it's one massive customer using it or 100,000 freemium developers.)
The idea that a company "must" do something doesn't make any sense. And the assertion that the company is harming itself is ultimately something the Board, acting on behalf of shareholders, is responsible for.
(FWIW, I agree Reddit is shooting itself in the foot.)
I asked ChatGPT to reformat it into a CSV, noted the useful breaks, requested some transformations and filtering, and specified a delimiter. After 5 minutes of experimentation, it worked like a charm. Absolutely amazing.
Feature request: allow me to auth Spotify and click a button next to each track to add a track to a "Maroofy Recs" playlist
This is not an advanced use case to be developed in house and owned by developers. This is bread and butter marketing or product engagement email flows using anything from Mailchimp to customer.io to HubSpot.
The developer side would involve capturing the identities and events from your system and sending them (typically via something like Segment) to the downstream tools, where business users will manage those campaigns: flows, templates, content, integration with other flows, and reporting.
The next example is "Sync GitHub issues to Linear". Again, this is a fairly simple Zapier use case, probably using built-in integrations, or falling back to Python if needed. Zapier would store the credentials to both security and use a trigger/action flow.
I can see trigger.dev being more useful for things like:
- Schedule-based tasks, or super high-volume tasks. (These are expensive on platforms)
- That are driven primarily by code, not pre-built integrations
- Using private data (such as authorization tokens) you don't want to expose in plain text
Given there is undoubtedly a market of developers who want to bring things back into their standard codebase and code release practices, I suggest targeting the examples to situations to those more typically owned by developers.
- Core transactional email flow? Great.
- Alerting Slack for non-critical activities elsewhere? Ehh...
The World Cup's New High-Tech Ball Will Change Soccer Forever
For general adoption, every ounce of friction has to be removed from signup.
Furthermore, reading the docs here[1]:
> Before you sign up for a service, it is important to understand its policies and terms of use. A Mastodon website will usually have its policies listed on the /about/more page, which can be found by clicking “learn more” on the landing page while not logged in to that website.
Every server can have different terms?
> Mastodon allows website administrators to set one of three different signup modes
:facepalm:
> It doesn't hugely matter which one you are on because you will be able to follow users on all the others anyway
> The server you choose becomes part of your user name
> Unlike Twitter, Mastodon won't suggest followers you may be interested in
OK, so this shouldn't be the first step unless the "server" is a key part of the experience or has other benefits. A company laser focused on signups, like Twitter was at one point, would aim a growth team at this and remove all unnecessary signup steps to reduce friction. Steps like... first enter email, then auto-suggest a username, then suggest some interests (i.e., people) to follow, then (and only then) allow for the editing and selection of your username.
> he had over 6,000 new joiners in 24 hours and had to pause registration
You don't turn off signups when things get too hot. You allow signup and then throttle the experience. Reach back out when things cool down and get people re-engaged. (This is difficult, but better than nothing.)
In any case, if Mastodon is a bit like email (as another comment suggested), what will make it "just work" is an upgraded experience to make it easy to sign up. Yes, you will be "picking your server" by selecting your upgraded experience -- such as AOL, Gmail, Yahoo, etc. -- but then they will also need to monetize it or track your usage for other reasons.
In fact, if it gets any traction, perhaps Google will spin up a Mastodon service as a companion to Gmail.
https://www.reuters.com/markets/europe/central-banks-raise-r...