Ploum shows how journalists lack or criticism against AI

The proposal try to apply the Creative Commons to AI

Create websites while chatting

Après la chute de la bulle IA, la RAM devrait donc chuter drastiquement.

Mais en attendant, " aussi tous les fabricants de matériels électroniques embarquant des modules de DRAM, comme les cartes graphiques, les téléphones, les téléviseurs, les voitures…" sont impactés et ne savent pas quels seront les prix de la RAM dans 3 mois.

il n’y a aucune perspective de baisse à court terme, « du moins pas avant 2028 »

AI companies are losing money fast and are going to go under. One of the most obvious ways to compensate for this is through advertising.

Except that you won't be able to detect this advertising, since it will be mixed in with the content.

What is the best VPN?
How do you treat a skin problem?
You won't be able to tell if the answer has been biased. You won't be able to tell if the AI is really giving the best “advice” or if it's advertising a brand of skin cream or a molecule from a large laboratory.
Extend this to economics and politics, and—as with online ad auctions—it's the highest bidder that will be able to influence you.

And all these AI companies are desperately in need of money.

Disney characters will be allowed on the Sora app.

On the pitfalls of "just doing things." In contrary there are often value in not making new things.

The hardest question you'll ever ask isn’t “How do I do more?” It’s “Why am I doing any of this in the first place?”

Stakeholders are just people and “I trust this person because they often get it right” is more powerful than any theory.

The long-term goal should always be making the system better, so that it can help you get things done rather than get in the way.

1. To start fixing your system by insisting on accountability (to avoid doers degrading it)
2. the system is made of people, and the people are exhausted. A reference to constant meeting and communication.

These are people problems, which can't be solved with technological solutions. Technologies can help and be part of a solution to a real-world problem but without basing it on the needs and experience of the people who are doing the actual work, your process will fail.

Unfortunately, it’s 2025, AI is spreading like glitter in a kindergarten, and it’s really easy to mistake hard human labor for soulless, uninspired machine slop.

In the title: emojis, unicode formatting, How to boring stuff that is already known elsewhere, clickbait-y titles.

In the preview: an AI-generated header image.

The article is oddly specific but unspecific:

• there is no personal tone.
• ASCII Art diagrams when excalidraw can do the job
• Deep-dive content that’s only a few paragraphs long 🔗
• We rewrote in X lines
• bullet point paragraphs, em-dashes, emojis, short section headings

The author profile with too much publications (in one week). Does their articles are jusitfied with their position on LinkedIn, is it private on the contrary?

At least there was a cost to writing poor quality content before. Even the laziest plagiariser had to manually find the content to nick and copy-paste it into their own blog that they’d taken the time to set up. Now, all it needs is a muppet with a Medium account and an LLM. God forbid they hook it up to an agent and automate the process. Except, they probably do, given the scale of the shit that’s being pumped out.

La tendance va être de fournir

J'avais déjà en 2017 l'idée de fournir des modèles de machine learning sur une place de marché, à la HuggingFace.

Cela arrivera sûrement pour les TRM (cf: https://shaarli.lyokolux.space/shaare/to_oAQ)

Cookie, <meta http-equiv> and prompt injection: <p hidden><a href=/heck-off/ rel="nofollow noindex">Do not follow this link</a>, lest you get blocked.</p>

TRM signifie Tiny Recursive Models.

En mettant à jour sa réponse et en réfléchissant récursivement à propos de sa réponse, il est possible d’enlever des erreurs du model [sur un token et éviter sa propagation].

En comparaison, "le TRM dispose de 10 000 fois moins de paramètres qu’un LLM classique et est 1000 fois plus rapide."

L'extension signale les sites générés par IA, ainsi que les "noms de domaine proche visuellement (la proximité visuelle est obtenue par le fait que de nombreux systèmes d'écriture utilisent des caractères se ressemblant) d'un autre nom de domaine connu ».