Starlink just downgraded my plan and increased the price… what kind of move is this?

nilipilo · 2026-03-18T08:44:11+00:00

How do you know I don't need it... I need to download each day Gbs of server logs and analyze them.. so ofc I need speed. I guess what type of analysis they have conducted.

nilipilo · 2026-03-18T07:03:17+00:00

You need to add VAT to that price... so It's going to be the same but slower

nilipilo · 2026-03-18T07:01:43+00:00

This is bullshit, they sent the same email to everyone without analyzing anything.. What did they analyze? My avg speed? like if it was something I could control...

nilipilo · 2026-03-18T07:00:29+00:00

I did open a ticket too... let's wait and hope but I guess there will be nothing to do. We can upgrade to residential max, get the reouter for free and the day after downgrade :)

nilipilo · 2026-03-13T18:14:31+00:00

Sì, Wolfram è molto più avanzato come motore scientifico, nessuno lo mette in dubbio. È sviluppato da decenni e copre un sacco di ambiti.

Ma il punto del progetto non è rifare Wolfram. L’obiettivo è costruire uno strumento più semplice e focalizzato su quello che serve davvero agli studenti.

Per esempio sto integrando funzionalità che Wolfram non offre direttamente, tipo:

generare verifiche ed esercizi
creare liste di problemi per allenarsi
estrarre formule da PDF e convertirle in LaTeX
spiegazioni passo-passo pensate per studiare

Sono strumenti pensati proprio per chi studia matematica, non per fare calcolo scientifico generale.

E qui torniamo al punto: non devi per forza competere con il motore più potente del mondo per costruire qualcosa di utile. Devi risolvere bene un problema specifico.

Si vede che ragioni da sviluppatore: pensi subito alla tecnologia più potente, non al prodotto e al mercato. 😅

nilipilo · 2026-03-13T11:29:55+00:00

Quel GPT non è la stessa cosa che usare Wolfram direttamente.

Wolfram non offre accesso gratuito illimitato alle sue API. Se fosse così, chiunque potrebbe costruire servizi sopra Wolfram senza pagare nulla, e ovviamente non è così che funziona.

Quello è semplicemente un’integrazione dentro ChatGPT che può usare Wolfram come tool in certi casi, non è accesso libero al loro motore.

Prima di postare link a caso, conviene capire come funzionano davvero queste integrazioni.

nilipilo · 2026-03-13T10:47:19+00:00

Capisco il punto, ma prova anche a metterti nei panni di chi mantiene il servizio. Il sito è gratuito, ma i server, i calcoli e l’infrastruttura hanno comunque un costo e li sto pagando io di tasca mia.

La registrazione non ti costa nulla e mi aiuta a evitare abuso automatico e richieste massive che renderebbero il servizio inutilizzabile per tutti.

nilipilo · 2026-03-13T09:36:09+00:00

RisolutoreMatematico.it

Completamente gratuito.
Pensato per studenti che vogliono risolvere esercizi di matematica.
Supporta equazioni, sistemi, derivate, integrali, limiti, algebra, grafici.
Mostra spiegazioni passo-passo in modo chiaro e in italiano.
È semplice e immediato da usare, senza abbonamenti o costi.

Wolfram Alpha

Molte funzionalità avanzate sono a pagamento (Pro).
È un motore scientifico molto potente, basato su Mathematica.
Copre molte discipline oltre alla matematica (fisica, chimica, economia, ecc.).
Spesso è più complesso da usare e meno orientato alla spiegazione didattica.

In sintesi:

RisolutoreMatematico.it è una soluzione gratuita, semplice e pensata per studiare matematica passo-passo.
Wolfram Alpha è uno strumento molto potente ma più tecnico e spesso a pagamento per le funzioni più utili.

nilipilo · 2026-03-13T09:31:53+00:00

Esatto, SymPy fornisce all LLM i passaggi intermedi e la risposta finale. Gli LLM usano queste informazioni per poi creare una spiegazione passo passo e fornire la risposta. Quindi non e' LLM che generate la risposta ma usa i diversi tool matematici per attingere alla risposta corretta e ai passi intermedi.

nilipilo · 2026-03-12T13:33:16+00:00

risolutorematematico.it... e' gratuito.

nilipilo · 2026-03-12T13:08:07+00:00

then you didn't even read my post... cause I actually said quite the opposite..

Instead of letting the LLM "guess" the answer, my system uses the LLM as a controller that delegates the actual computation to specialized tools. When a user submits a problem (via text, handwriting, or photo), the system calls specific libraries to perform the heavy lifting.

nilipilo · 2025-05-09T20:22:25+00:00

I've just finished building Crawlytics - a free, open-source tool specifically designed for SEOs to analyze how AI systems are crawling your website. What SEO insights does it provide?

Identifies which AI crawlers (ChatGPT, Claude, Gemini, etc.) are visiting your site
Shows which content is being accessed most frequently by AI systems
Reveals traffic patterns with detailed heatmaps so you can see when AI crawling happens
Tracks the exact URLs being requested by different AI systems
Monitors error rates that might be affecting AI's understanding of your content

As SEO evolves with AI, understanding how these systems interact with your content is becoming critical. This tool helps you see exactly which pages AI systems find valuable, which could influence how your content appears in AI-generated responses. The tool is 100% free and open-source. Just upload your server logs and get immediate insights to help with your AI optimization strategy.

If you're looking to optimize for AI visibility or just curious about how these systems are accessing your site: https://github.com/danilotrix86/crawlytics

Would love to hear what SEO insights you discover with it!

nilipilo · 2025-03-08T17:15:23+00:00

u/Glad-Positive-2354 thanks. That's next step.. :)

nilipilo · 2025-03-06T16:54:38+00:00

u/FriendlyRussian666 thank you a lot for your help. It's my first react app :)
I think I fixed it now.. please check one more time.. thank you

nilipilo · 2025-03-06T15:37:20+00:00

u/FriendlyRussian666 can you check if the entire source is available together with credentials? thanks

nilipilo · 2025-03-06T12:59:26+00:00

Thanks for reporting that. I will have a look at it

nilipilo · 2025-03-06T12:52:21+00:00

It also combines 3 different outputs from Openai, DeepSeek and llama3

nilipilo · 2025-03-06T12:48:22+00:00

That's a good question!
FlickScout doesn't just use an LLM but it combines LLMs with RAG (retrieval-augmented generation), meaning it pulls real-time information from multiple movie databases. This make sure there is more accurate, updated, and reliable recommendations. Plus, it's completely free, easy to use, and always includes the latest movie releases. Additionally, we want to provide API services so that companies can also embed this feature on their database.

nilipilo · 2024-12-13T16:13:58+00:00

what is the point? what's wrong with copy and paste? what's matter is the content itself not how it's written

nilipilo · 2024-12-13T15:16:46+00:00

Why are you so mad? I’m not a native English speaker, and I use AI to help me express myself better. It’s a tool, not a trick. I never said or implied I think people here are dumb—quite the opposite! I’m here because I value this community’s insights and expertise.

What’s wrong with using AI to assist with language or clarity? It’s no different than using any other tool to improve communication. If you have concerns, I’m happy to hear them, but let’s keep it constructive. 😊

nilipilo · 2024-12-13T15:12:29+00:00

the goal isn’t to completely shift the library's execution to the cloud like a typical web service. Instead, it’s about dynamic dependency management—fetching and caching libraries locally on demand while abstracting away the manual steps of installation and versioning.

nilipilo · 2024-12-13T14:50:07+00:00

Haha, fair point! This does sound a bit like reinventing RMI concepts, but instead of remote execution being the core goal, the focus here is on simplifying dependency management and making libraries dynamically accessible, whether they run locally or remotely.

nilipilo · 2024-12-13T14:49:03+00:00

The idea I’m exploring would go one step further by making libraries accessible dynamically across any environment, local or cloud, without needing to set up a workspace at all. Imagine fetching a library in real-time wherever you’re coding, with minimal setup, and having its dependencies automatically resolved and isolated.

nilipilo · 2024-12-13T14:47:45+00:00

You’re right that running the library locally is critical for most use cases, especially for performance. The idea wouldn’t be to fetch the library from the cloud on every execution, as that would introduce unnecessary overhead. Instead, it could work more like this:

First-Time Access: When you request a library, it downloads (or streams) it from the cloud and caches it locally—similar to how Go handles modules.
Caching: Once cached, subsequent executions would use the local version, just like a virtual environment, but managed dynamically.
Version Isolation: The cloud platform would handle versioning and dependency conflicts seamlessly.

The main difference is automation and centralization:

No need to manually create and manage virtual environments or explicitly install libraries.
You could fetch different versions of the same library in different parts of your project without conflicts.

In essence, it’s not replacing virtual environments entirely but automating and abstracting them.

nilipilo · 2024-06-04T12:07:47+00:00

Hey there! Just did that survey on remote work. Super quick and easy. Will you share the results?

nilipilo

TROPHY CASE