ygouzerh

Small sharing tips, in case it can help: have the maximum of hangers possible. It take a bit more space, but the time saved is huge + it remove iron time for low wrinkle sensitive clothes (e.g cotton polo)

I will suggest mix of both: some everyday tools are already built for being used with hands and legs (e.g opening a door). But indeed adding some different grip types, additional arms, etc, could be helpful.

What are the pros and cons versus Rocket.Chat?

So true! I am not sure if it was on purpose that the model spoke with a so strong accent!

Actually, x402 was created because using a credit card programmatically is very difficult.

The whole business of Stripe is based on that: it's so hard for developers to do, and so many regulations, that they would rather pay an another company to do so.

Crypto can be sent just using a contract.transfer() call

It seems the usage will be mostly agent <-> service or service <-> service. For user, probably using a Metamask-like wallet yes

An partnership with Perplexity AI would be nice!

Let's say a part of the subscription is used to pay for it.

Their example of an /api/premium is quite nice! You could you like keep existing pages free, but provide specific output content for llm!

So if: cost monetized API < cost configuring scraper for your website OR feature provided by premium api > data got by scraping, then some people/business will likely pay

For non-corporate entities, it is!

Having an almost a plug and play solution who does CDN + DDoS Protection + WAF/Rate Limiter + Bot Protection, for a few bucks, is very useful for startups and SMEs.

And compared to cloud different offerings, their quick setup and lower cost is hard to beat.

It's good point! However, one of the main benefits of a technology like this, would be not really for everyday people, but for people with handicap or a speech impediment.

I personally have a stammer. While mine is less severe, and I doesn't need directly it, I know several people that would quite be glad of the benefits that it could bring to them. (Example: pass online interviews).

I agree however of the privacy concerns. We could limit it in a first time to medical devices for example, or have some privacy laws in place.

It's mostly a conglomerate nowadays (e.g the list of subsidiaries in Wikipedia is huge https://en.wikipedia.org/wiki/Meituan).

In the same way than Amazon spin-up AWS, they are quite leveraging their tech experience.

Probably some business will popup, like: "rent part of your unused subscription", or even: "proxy tokens with a premium", eg. 5.5 USD on Opus 4.7 paid by the distiller to the user, that will then only spend 5 USD.

So true! It was the same for Gitlab, Cisco, Oracle... every-time they used the AI excuse to explain their laid-off, instead of explaining why they have bad financials. Actually, in all the cases above, the real reason when digging in the financials was the leadership and bad work culture...

Indeed, they are hitting a weird spot, their pricing category is stuck in between people who just want to play without breaking the bank account, who will go for a PS5 or XBox, and hardcore gamers who will go directly for their own custom build PC

Thank you for the sharing!

Definitely! One exemple is Grab, in all Southeast Asia: what people like is that the app is fluid, and will get you from A to B.

There is no marketing like Uber did sometimes of like: "personal service, free water bottle", and it's still killing it.

Of course, I personally always enjoy a chat with the driver, but many people I know prefer actually not talking.

I feel like the author wrote like the full plan/ substance himself, and gave to an AI the formatting. It's quite fine for me so actually, as long as the substance make sense/is logical.

One thing I have a question: what about business that doesn't have hospitaly/B2C? Many exemples relies on the F&B business, which is quite special in the fact that one of the core value proposition is directly hospitality, so we could argue that "adding more hospitality" is actually their core business already.

But what about a company which is more in B2B, and where procurement will be more rationalized (e.g RFP, which is often regulated)?

One thing as well: this is moat from an organization point of view, but unfortunately not for the individual: soft skills are often easier to get than hard skills, and there is so already a competition on the job market for the client-facing roles, even before AI arrival: like Sales / Business Developers / Account Managers (or more internal roles to try to build something that the client would need, like Product Managers)

How does this work when a projet have many external dependencies, like an S3 bucket, a secret manager, a third party API, etc?

Regarding the body used as a key for the caching: in the RFC, from my understanding, it's indicated that we can use Location as well:

Exemple:

``` QUERY /search HTTP/1.1 Content-Type: application/json

{ "filters": { "region": "asia", "status": "active" }, "sort": "created_at", "limit": 500 } ```

can answer

``` HTTP/1.1 303 See Other Location: /queries/results/f3a9c1d7 ```

And then you can access later `/queries/results/f3a9c1d7` using a pure GET call, and cache this instead

The exemples section at the end, with csv and sql are quite powerful. It open the door to easy caching of raw data and probably other use cases, quite interesting!

How are you doing that? I am intrigued!

How do you see impact of using LLM on the teaching content? (genuine curiosity)

In the industry, almost everyone here is doing the exact same thing, outsourcing more and more of their thinking to LLM: so even if students learned how to manually write code, they will probably loose it later on (happening to us already, mostly can be seen when people are working on new solutions/frameworks... they now have the same issue than students).

That's true! Even faster, for exemple for young people who started university in September 2022 thinking computer sciences is one of the most promising for job opportunities: they started before ChatGPT was released, and now they haven't yet finished their masters degrees.

Thanks, you taught me a new concept, monopsony today, I didn't knew it got a name!

LLM are quite a good learning opportunity, mostly in classes where learning is sequential/needs building blocks, like mathematics, where if you miss a trimester, it's finished. Here it's like a free and immediately accessible private tutor. It would be great for computer sciences classes indeed.

It's like the rail industry analogy: we got a big bubble, but the rails are still there. Now with llm, we can just distill expensive one to create cheap open-source ones indeed

I have the theory (not tested, subjective) that current economy prefers buying capital (broadly here defined as machine/tools) than having to pay workers salaries, even if both have the same level of competitivity

Capital expenditures are easy to calculate, and it's easy to help raising money. As the current economical system is based on debts, it works quite well: if a company knows that productivity output will raise by 15% over the next year if they spend X dollars, it's easy to get investments (investments firms themselves are relying heavily on private credits, which more and more is coming from bank too). With a system based on debts, they care less about the amount spent, than the yield generated.

With investing in people, it's harder to predict.

Industry does it by buying machines, now knowledge-based companies might do it with GPUs or tokens.

Good question! Maybe a scheme like in France: we generally separate engineering schools, which teach a mix of theory and knowledge, for getting a white collar hob; and the masters, which teach mostly pure theoretical learning, which leads to an academical career.

Both are at the same levels at +5 years after high-school, but they leads to different career paths.

Everyone is quite worried of their job. Many of us have made coding/IT our personality, what we were proud of, what the society made us feel valued. It's a big change in life... and there is no solution yet.

So everyone feels the needs to talk about it, to either get rid of this anxiety by ranting or trying to prove that it would be an opportunity, or a non-event depending on the point of view, etc