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alanfranz

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https://www.franzoni.eu

Feel free to contact me via e-mail: my HN username <at> my domain above will do the job.

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www.ign.com 21d ago

Physical Disc Production to End for New Games Releasing on PlayStation Consoles

alanfranz
2pts1
aiven.io 7mo ago

Data Infrastructure for All: Free Kafka and $5 PostgreSQL

alanfranz
33pts2
aiven.io 8mo ago

Developer Tier for Aiven for PostgreSQL Services

alanfranz
3pts0
www.davidjoyner.net 2y ago

On Artificial Intelligence and Authenticity

alanfranz
2pts1
aiven.io 2y ago

Speed up databases with AI-driven recommendations – Aiven AI Database Optimizer

alanfranz
5pts0
www.macrumors.com 2y ago

Apple Lays Off 600 Employees After Canceling Car Project

alanfranz
2pts0
www.franzoni.eu 2y ago

How to use AI to suck at user experience

alanfranz
3pts2
www.franzoni.eu 3y ago

How to do a bad comparison of cloud vs. colocation

alanfranz
2pts0
imgur.com 3y ago

I cannot pass (AI-Generated?) Epic hCaptcha anymore

alanfranz
2pts3
arxiv.org 3y ago

Telegram's MTProto 2.0 proven formally correct (2021) [pdf]

alanfranz
3pts1
www.franzoni.eu 3y ago

Password Requirements: Myths and Madness

alanfranz
283pts247
37signals.com 3y ago

Group Chat: The Best Way to Stress Out Your Team

alanfranz
4pts0
www.cnbc.com 3y ago

Amazon layoffs in Alexa and Luna start

alanfranz
4pts0
www.bloomberg.com 3y ago

Russian missiles hit Poland soil

alanfranz
15pts1
hpyproject.org 3y ago

HPy: A better C API for Python

alanfranz
29pts1
sscce.org 3y ago

Short, Self Contained, Correct (Compilable), Example

alanfranz
1pts0
imgur.com 4y ago

NIST's answer to “Do you need a blockchain?” (2018)

alanfranz
12pts3
interestingengineering.com 4y ago

The Origin of the Term 'Computer Bug'

alanfranz
1pts2
www.franzoni.eu 4y ago

Ransomware-resistant backups with duplicity and AWS S3

alanfranz
87pts59
applyingml.com 4y ago

ApplyingML – applied Machine Learning tips and tricks

alanfranz
2pts0
research.nccgroup.com 4y ago

An Illustrated Guide to Elliptic Curve Cryptography Validation

alanfranz
177pts22
www.franzoni.eu 4y ago

Consistent Hashing for Dummies

alanfranz
62pts7
tiszka.com 4y ago

Exploiting CVE-2021-21225 and disabling W^X (Chrome Renderer RCE)

alanfranz
1pts0
www.theatlantic.com 4y ago

The Psychological Benefits of Commuting to Work

alanfranz
2pts0
blogs.tedneward.com 5y ago

Object-Relational Mapping Is the Vietnam of Computer Science (2006)

alanfranz
17pts5
github.com 5y ago

Frame-accurate Another World reimplementation in Rust

alanfranz
2pts0
natmchugh.blogspot.com 5y ago

Create your own MD5 collisions

alanfranz
1pts0
www.wsj.com 5y ago

Scientists in Europe identify potential AstraZeneca clots cause and treatment

alanfranz
5pts5
huggingface.co 5y ago

Hugging Face: NLP community and curated models collection

alanfranz
2pts0
www.youtube.com 5y ago

Efficiency vs. Resilience: lessons from Covid-19

alanfranz
2pts0

But this is Rust, not safe Rust, right? So, you still have a lot of ways to shoot yourself in the foot.

Of course, the C -> unsafe Rust -> safe Rust is more likely to happen than just going straight to (mostly) safe Rust (I doubt a 100% safe dbms would make sense).

How good are you at writing assembly?

This is a false equivalence.

A compiler is a predictable, testable, deterministic piece of software.

An LLM is not.

Sure, all abstractions leak; so, at some point in time, for some reason, you may need to check its compiled code ( cough cough gcc 2.96 ). But, if today your code compiles properly, it will properly compile tomorrow as well.

they are not bricking the units. just kindle store won't be available anymore, and the azw/epub version which is supported on your kindles won't be provided anymore by amazon anywhere.

what is on the kindle will stay and keep working.

if you reset the kindle, DRMed content won't work anymore.

Well...

I'm not sure what the author really wants to say. mmap is available in many languages (e.g. Python) on Linux (and many other *nix I suppose). C provides you with raw memory access, so using mmap is sort-of-convenient for this use case.

But if you use Python then, yes, you'll need a bytearray, because Python doesn't give you raw access to such memory - and I'm not sure you'd want to mmap a PyObject anyway?

Then, writing and reading this kind of raw memory can be kind of dangerous and non-portable - I'm not really sure that the pickle analogy even makes sense. I very much suppose (I've never tried) that if you mmap-read malicious data in C, a vulnerability would be _quite_ easy to exploit.

…and they did really guess an ipv6 address? Full scans of the ipv6 address space looks infeasible. Or did the sbc reach out to the internet thus having its address exposed?

Otherwise just the huge amount of addresses should make ipv6 “more secure” imho.

Italian here.

If somebody wants to read the full document about the fine (in italian) it's here: https://www.agcom.it/sites/default/files/provvedimenti/delib...

Part of this doc states:

``` The rights holders also declared, under their own responsibility, providing certified documentary evidence of the current nature of the unlawful conduct, that the reported domain names and IP addresses were unequivocally intended to infringe the copyright and related rights of the audiovisual works relating to live broadcast sporting events and similar events covered by the reports. ```

So, I'm not sure anybody verified that what the right holders claimed was actually true. While I understand what AGCOM (the italian FCC, more-or-less) is trying to do, it seems that, as usual, a law was created without verifying how the implementation of such law would work in practice (something very common in Italy), and this is the result.

Cloudflare CEO seems irate, and some of his references are not great, but I'd be inclined at thinking he's got at least _some_ reason on his side.

I'd probably want some way to understand whether secret.Do is launched within a secret-supporting environment so that I'm able to show some user warning / force a user confirmation or generate_secrets_on_unsupported_platforms flag.

But, this is probably a net improvement over the current situation, and this is still experimental, so, changes can happen before it gets to GA.

I have noticed the same for a lot of long-running software projects. The estimate is created at the start an never revised.

Projects can and will fail or run late; but heck; a 6-months projects cannot found late after 5 months and 29 days; things must be discovered early, so that the most important issues can be addressed.

I think this should become harder to do in general, not just for copyright infringement. A third party alleges an infringement, they do little work since it's AI generated, and then you need to do TONS of work to fix their s*t. THAT needs to be fixed by AI legislation - use AI at your own peril and under your own responsibility.

Revocation Confusion 10 months ago

One thing the article doesn’t mention is that a lot of certs are revoked for purely admin reasons. CeasedOperations seems to be the case for Flair - nothing bad happened to the key, but the cert was revoked nevertheless.

This seems to be a common practice for some CAs or companies, but it’s not required AFAICT; and it contributes to the gigantic CRLsets that we have - most of those revocations wouldn’t actually be needed from a security pov.

Afaik there are some ways to get approval for individual vehicles to be imported in the EU, even if non compliant with EU rules, for specific purposes and with a case-by-case basis, which grants such vehicles an exemption.

This requires a per-vehicle (not per model) specific flow which may take long and cost a lot, and you may be fined if you use the vehicle outside its stated purpose.

I can remember some collectors importing cybertruck indeed, I don’t know the limitations for its use.

So my only advice would be to make closer to 50% actually skin cancer.

If I were to code this for "real training" of a dermatologist, I'd make this closer to "real world" training rate. As a dermatologist, I'll imagine that probably just 1 out of 100 (or something like that) skin lesions that people could imagine are cancerous, actually are so.

With the current dataset, there're just too many cancerous images. This makes it kind of easy to just flag something as "cancerous" and still retain a good "score" - but the point is moot, if as a dermatologist you send _too many_ people without cancer to do further exams, then you're negating the usefulness of what you're doing.

I think it’s an old analogy, and a good one. LLMs are for knowledge what mp3s were for audio.

This was widely discussed in the past years as well.

They also cover vaping. While smoking harms are clear and its impact on room smell is evident, the connection is pretty weak for vaping. Unless it’s a crowded bar with lots of vaping people, I can’t tell if somebody has previously used an e-cigarette or vaporized anything in a room, and generally speaking I don’t find such vapor disturbing (altough the smell can be not great).

Carefully reviewed greenfield project; I don’t think this is astonishing, and I very much love they recorded the prompts.

Question is: will this work for non-greenfield projects as well? Usually 95% of work in a lifetime is not greenfield.

Or will we throw away more and more code as we go, since AI will rewrite it, and we’ll probably introduce subtle bugs as we go?