bredren

I would attribute Disney's use of scarcity as a primary means to drive film and TV box office and streaming dollars in the Star Wars franchise.

This is already under threat due to the Star Wars AI videos being released on Youtube, seemingly without constraint as of yet.

The videos are not Hollywood quality [0], however they circumvent rules Disney can't easily break like using the likeness of any actor at any age in any circumstance.

These fan made videos get lots of views. Even if they were all removed from YouTube, this will be a difficult thing to stop.

I believe a generally accepted "good" or even "great" unofficial, Star Wars film built without sets or actors using AI is inevitable. And that this will be true for any popular franchise.

The natural corollary to this arc is into games, where using AI to code most or all of a AAA-competitive title would be considered inevitable.

I suspect Disney and Sony have at least someone pointing at this outcome.

[0] I suppose idealized Hollywood quality. They are better than some films.

I presume this was one of the lowest points of Tim Cook’s career: https://youtu.be/kSAGUjY2HIs?is=my5VbCBB5Ku-MlLX

How do you get the ~real time prototype things shown in the "hands on" section of this page?

gemini.g lets you add a canvas or use image gen, but it isn't clear to me how you stick in the "space lift" prompt and out comes what is demo'd

I'd narrow that to why even allow the harness to run `high` on this model?

This is what I realized, can you provide more detail on how you've observed this? The /usage screen does not make it clear.

It would be good if Anthropic provided some kind of feedback or even toggle to auto-route requests for models being used at thinking levels that would be a better value using a different model.

Sort of like, getting an automatic upgrade at a car rental or hotel if there is availability.

This is on the browsercomp graph, right?

In that, it seems sonnet 5 on high costs more than opus 4.8 at a lower pass rate. Am I reading this correctly?

Edit: It looks like the key value proposition of the updated model is that it is much better than Sonnet 4.6.

Wheras, Sonnet 5 delivers great value (by browsercomp benchmarks and compared to opus) when running in low and medium.

So: Sonnet 4.6 should ~never have been run for low, medium or high when Opus 4.8 has been available. Whoops, I think I have some skills that delegate easy stuff to Sonnet.

---

I remember Anthropic pivoting everyone's default model to Opus but had not seen it put so starkly before.

I am a bit confused on the subscription `/usage` screen. It splits out sonnet usage, and I'd presumed that would have contributed to a lower use of subscription Quota.

But if this is correct, Sonnet usage was basically like smoking unfiltered cigarettes.

Interesting approach. I am curious how this information stacks up over time and how efficient it is at incorporating decision knowledge into active context.

I have taken a different approach: allow team members to sync all of their Claude Code and Codex transcripts on a project and give them a skill that lets them ask their AI why decisions were made.

The skill I've built, /total-recall is backed by a Swift-based CLI that provides efficient query tooling that coding agents can use however they see fit to arrive at the answer.

The corpus of data contextify queries is a SQL database managed by macOS and Linux clients. These clients ingest the jsonl files in realtime and optionally can sync transcript data through either a hosted or self-hosted server.

This allows any team member to simply invoke the skill: "Why did we switch over to allauth from aws cognito? /total-recall."

My experience is that Claude Code and Codex don't just land "near" a decision, but can assemble it from what is sometimes a winding pathway of research, benchmarking and experimentation.

Rather than codify requirements into a separate spec, Contextify lets agents pair the state of the code with the conversational record.

I have just released the free personal and source available self-hosted version of Contextify, I'd be glad for feedback.

https://contextify.sh/teams/, https://contextify.sh/self-hosted/

Probably will not be looking at text like this in a few years.

You're going to dig it. I went 32 / 2TB, the machine is a beast.

I have had need for active cooling once so far to get full performance.

The MBA m2 is still highly capable though!

I upgraded to M5 air and use both daily and the M2 holds its own.

I suppose from some perspectives it is.

When I designed our take on it, I was solving a problem I experienced on Craigslist. I had not seen this prior art.

I built a simple refresh for a new email address interface that people really loved to mash, and it is nearly identical to the Use Different Address link behavior on Hide My Email.

To get to my original point, if Craigslist was aware of all of these examples, they did not seem to serve as impetus to provide it, despite it being in the best interest of their users.

I would highlight again that the system described by the Rally patent, if realizable in the example services means these groups also left potentially valuable IP on the table.

As the lawsuit over Hide My Email, afaik, is serious stuff.

I appreciate folks sharing links to prior art. I have more to say, that might explain my initial comment a bit more, but have to wait on that.

Wow, I wasn’t aware of this and it definitely predates our work.

I’d have presumed this would have come up in the evidence for that case but afaik it has not.

IANAL, but perhaps Craigslist’s response to our product, which included blocking its usage on the site after they implanted their version, served as a stronger example of the commercialization of the product still well ahead of the Rally Patent.

Yes.

Even if you take out revenue from scams, it does not change the question of what Craigslist could or should have done regarding governance.

Craigslist adhered to basic features and community volunteers partly to avoid responsibility.

The org had no problem enforcing its moat around UGC (posts) with lawsuits but only at after extraordinary foot dragging did they implement basic advancements in the best interests of their own community.

This has resulted in untold numbers of scam victims, yes but also it allowed bad landlords, (and tenants) to carry on with no repercussions. This continues, actually.

Craigslist was a benevolent dictator. It squandered an opportunity to be a low profit leader of p2p, instead yielding it to Facebook and a variety of venture backed products.

I have first hand knowledge of Craigslist response to market competition because my cofounder on Gliph and I are the creators of the product that Craigslist privacy relay email service is based on.

This point of who actually created the concept and tech is actually being litigated right now between Apple and a patent troll over the Hide My Email feature of iCloud in Rally vs. Apple Inc.

Hasn't Apple's dev environment for iOS and its non-macos relatives always been about working with as little memory as possible?

It seems like Apple, of all companies has been about doing more with less memory.

That would seem to have helped in the % of BOM getting wrecked by the supply chain and discipline of developers in its ecosystem.

Yes, this is not labeling what is an apple and what is a pear. "Annotation" does not do this work justice.

For a coding agent, for example, there is *very detailed* analysis of the turns and ranking of different portions of the conversation.

Adherence or deviation from specific rules matters. Writing quality matters. Expertise in the topic under discussion matters. Having intuition for the tone and beat of a good conversation matters.

Scoring a 15-20 turn conversation can easily take two and a half hours.

Clicking submit does not mean the author is done. Many annotations will be turned back to them by a reviewer to touch up in some way.

This work can be far more mentally taxing than programming, is measured much more by completions more of a timed exercise than SWE.

FWIW, Meta employees would probably make great coding agent conversation annotators. But it is absolutely not SWE and they won't enjoy it (for long).

This sub optimal system is what has (at times) led to massive growth of disruptive technologies and platforms.

People got reasonably mad at Apple’s iron fisted control of the App Store and access to its platforms.

It got to the point that there was political will to force Apple to change. (Sort of, in some circumstances)

But during the golden age of the App Store, when Angry Birds came out—-it wasn’t something people were hemming and hawing about the fairness of distribution platforms it was more like: “wow! iPhone! Check out this game! Everyone is playing this thing, Jack White is playing it. You too can have this game for a few bucks, can you believe this?”

It is only after Apple had ridden the horse a good long while and reaped what came to be outsized profits and using the thing to control competition over an extended period that something really was done about it. (Sort of)

There are many other examples of this kind of thing.

Compensated creative expression has somewhat relied on it in the form of intellectual property, which has built in albeit relatively toothless expiration.

But even IP is under greater threat than ever with gen AI. Just look at what fans are doing with the Star Wars franchise on YouTube right now.

Anyhow, I agree with the system is flawed but I mean to point out that deciding a person or company has reaped enough for their thing is something we do on a case by case basis.

It is not easy to say when to say to someone or something has been compensated “enough.”

What is going broke for a programmer?

This is US centric but a $200 Claude code and $100 codex sub is a vast, vast amount of tokens. Enough to pay for itself many times over. It provides exposure to the very edge of harnesses and experience that is being hired for.

Isn’t there an argument this is possibly the best price to available performance for frontier models? Both due to subsidies and the distance between open and accessible alternatives?

Here's the prompt I used:

---

Can you make a version of this that is more in the style of "the way things work" the cool inventions book from the 90s with cavepeople and wooly mamoths and that illustration asthetic?

https://github.com/mohsen1/axial-flux-motor-explainer

If able, expand on the abilities of the page as requested in this thread:

https://news.ycombinator.com/item?id=48475428

---

So ya, that was a one shot to build.

Just as impressive was its ability to publish the source and get the version up on my personal site. That was also a one shot but aided by context and skills I have available for these purposes.

I asked mythos to make a "The Way Things Work"-inspired version.

Published: https://banagale.com/the-way-the-motor-works/

Source: https://github.com/banagale/the-way-the-motor-works

It lacks cave people but has the woolys.

They're talking about patching Claude Code.

> not even considering business security.

I suspect personal privacy and need to run AI workflows to handle the litany of administration tasks of a household will be what result in regular need for local AI.

Apple is already out front with this on a personal, individual level, but they are not obviously headed toward multiuser/family-level ~biz admin with a persistent server running local LLM.

Liquidity at some multiplier is easy to measure.

The value to the investors also includes the outcome of dealflow resulting from the relationships and network built up along the way.

Yes. I got somewhat stuck on the idea of the sets being kept together, partly because I thought it would be good to pass on used ones with the manuals.

But I found that if the builds are out they will be played with and fall apart and eventually become loose legos and that’s all fine and good.

Loose Legos on the floor making random things is fun. But building with sets and instructions is a different skill set and is entertaining in its own right.

The newer Friends series has a short reward video at the end of some builds which sort of puts the cherry on top of the set builds.

Isn’t this just a lagging indicator of popularity at the early liftoff of cli ai?

A sign of weariness in the rapid evolution of tooling, where people got off the train a stop too early?

A confusing overloaded acronym (cli) and term (skill) lacking the marketability / easy mind share of a unique acronym?

These all fail to establish a hearty reason to be.

The walking dead are still dead.

Maybe the delta is worse under their respective native harnesses.

It is possible to build automation that efficiently handles low level customization of new versions as they appear.

Yes. Audio Scrobbler was the thing.

The word for this type of boarding is “flophouse.”

This is the type of place one might be “waiting for the other shoe to drop.” Which carries a variety of potential meanings in this moment of AI.

Tangentially related: Mack and the boys lived in the “Palace Flophouse and Grill” in Cannery Row.

I suppose I must have looked up flophouse when reading all the Steinbeck I could get my hands on and it’s stuck w me.

Can anyone who has extensive, recent, experience with Claude code and Codex contextualize the current Gemini CLI product experience?