38 results for “vigue”
[Traduit de l’anglais]
[Colombie-Britannique] Les patient·e·s atteint·e·s de la COVID longue sont « dévasté·e·s » par les changements imminents concernant l’accès aux soins virtuels en Colombie-Britannique
Les modifications apportées au Medical Services Plan doivent entrer en vigueur le 1er novembre
CBC News
Le 22 octobre 2026
Par Ruby Cornish
#santé #BC #ColombieBritannique #CovidLongue #CovidLong #MECFS #LaPandémieNEstPasFinie
Vaguely inspired by you digital peoples out there lately. Rummaged through some pictures, updated some HTML.
https://tonedeafpony.com/posts/2026-10-23-Outside
I’m paying for Neocities and a whole dang URL, dang it! Might as well actually use ‘em.
Emma Vigeland weighs in…
Why AOC “Girls Girl” Defense of Trans Rights Is So Important
#TheMajorityReport #AOC #Women #Trans
https://www.youtube.com/watch?v=c-4aw24mupY
Andy Bloke appears vaguely normal on Gogglebox – but Kemi dodged a bullet
By John Crace
PM and the Liverpool mayor prove to be naturals at watching TV, with a genuine connection and sense of fun
#AndyBurnham #Gogglebox #Televisionradio #Culture #Politics #UKnews #TheGuardian #JohnCrace
daily scheduled vaguepost is currently under embargo. check back later.
I just realized that if human history continues in an even vaguely linear fashion, there will never again be a time where we don't have to wonder if photos, videos, music etc., are real
#AlternateFridayMusic
Oct 23 2026
The prompt is #remix
Nouvelle Vague, “This Is Not a Love Song” from Thievery Corporation’s remix album “Versions” (2006)
Remixes so often chop and distort the original track and overextend it to a THUMPA-THUMPA beat; I can see how that would be great in a club, but in any real listening setting? No thank you.
There are, however, a few producers I’ve come to trust to create beautiful, thoughtful remixes, and I count Thievery Corporation among them - and with their “Versions” we get an entire album of their remixes of other artists’ tracks.
Here we have Nouvelle Vague whose stock in trade is creating their own light, delightful lounge lizard-y versions of rock, punk, and post-punk songs, taking Public Image Limited’s brash outburst from cynical irony to self-parody, and then in the hands of Thievery Corp, further transformed into melancholic incantation.
https://www.youtube.com/watch?v=TuvWcw4Kkyo
#ThieveryCorporation #NouvelleVague #PublicImageLimited #PiL
État espagnol : la gauche radicale face à l’échec du « progressisme » et la nouvelle vague de mobilisations
https://www.contretemps.eu/etat-espagnol-gauche-radicale-vague-mobilisations/
#Politique #Conjoncture #Stratégie #UnePrincipale #Andalousie #Espagne #Galice #Gauche #GaucheRadicale #PaysBasque #PedroSánchez #Psoe #Sumar #Vox
This book names names. No vague theories, just clear facts from real records.
#books #bookreview #Nonfiction #Politics
https://thisgrandpablogs.com/the-lumumba-plot-book-review-stuart-reid/
https://www.europesays.com/uk/1270746/ Andy Bloke appears vaguely normal on Gogglebox – but Kemi dodged a bullet | John Crace #Britain #England #GreatBritain #News #NorthernIreland #Scotland #UK #UnitedKingdom #Wales
https://www.europesays.com/people/277207/ Andy Bloke appears vaguely normal on Gogglebox – but Kemi dodged a bullet | John Crace #AndyBurnham
https://www.europesays.com/be-fr/297585/ Wall Street devrait ouvrir en baisse après une vague de ventes liée à l’IA ; les inquiétudes concernant SpaceX pèsent sur le secteur des télécommunications – 23/10/2026 à 15:09 #ActionCAC40 #BE #BEFr #Belgique #Belgium #BourseDeParis #Boursorama #Business #cotations #Économie #Economy #IndicesDevises #investir #investissement #MarchéBoursier #Sicav #trackers #warrants
A cloud architecture lesson from Billnix: don't collapse sync, backup and export into one vague “cloud” feature.
• Drift ↔ Rust/PostgreSQL handles normal same-account continuity.
• Google Drive checkpoints provide a separate optional recovery path.
• Drive/export copies are currently documented as readable rather than zero-knowledge encrypted objects.
Different failure modes, different privacy boundaries.
https://www.europesays.com/fr/1256861/ « Il faut qu’on se rejoigne à l’Élysée » : une vague de Marseillais à Paris pour la mobilisation du 24 octobre ? #Actualités #EU #europe #FR #France #Manifestations #ManifestationsLycéennes #News #Paris #RépubliqueFrançaise #RéseauxSociaux #Société
https://www.europesays.com/fr/?p=1261602 Après les violences du 17 octobre à Paris, les professionnels du tourisme redoutent une vague d’annulations #actu #ActuParis #Actualités #ActualitésParis #EU #europe #FR #France #News #NewsParis #Paris #ParisNews #RépubliqueFrançaise
ICYMI: DaVinci Commerce claims 30% AI discoverability lift, gives no method: Patent-pending Product Context Memory pushes SKU context to AI agents via ACP, UCP and MCP. Which agents read it, and what does the vague 30% figure measure? https://ppc.land/davinci-commerce-claims-30-ai-discoverability-lift-gives-no-method/ #AI #ArtificialIntelligence #Ecommerce #DaVinciCommerce #DigitalMarketing
EN DIRECT - Tempête Austen : 10 départements en vigilance orange cette nuit, des rafales jusqu'à 140 km/h
🗞️ TF1 Info - 🕐 22/10 10:20
Le Finistère passe en vigilance orange pour le phénomène vent et en vigilance jaune pour les phénomènes vagues-submersion et pluie-inondation, à l’approche de la dépression Austen. Le vent se renforcera ce soir. Les rafales atteindront près de 100 à ... [6244 chars]
🔗 https://www.tf1info.fr/meteo/en-direct-meteo-la-premiere-tempete-de-l-automne-arrive-sur-le-nord-ouest-de-la-france-dans-la-nuit-de-jeudi-22-a-vendredi-23-octobre-2026-2471232.html
#actu #news #presse #tf1info
https://www.europesays.com/afrique/242043/ Arnaques sur Booking : l’Europe ouvre une enquête suite à une vague d’escroqueries #amende #Arnaque #Booking #CommissionEuropeenne #Europe #Phishing
📢 Campagne de phishing ciblant les créateurs YouTube via une fausse offre Amazon Music
Malware Research Engineer, ThreatLabs). 🎯 Contexte : Quelques semaines après l'annonce officielle du partenariat Amazon/YouTube Shopping Affiliate Program (27 août), une vague de sites frauduleux a été détectée, exploitant cet événement réel pour leurrer…
📖 cyberveille : https://cyberveille.ch/posts/2026-10-22-campagne-de-phishing-ciblant-les-createurs-youtube-via-une-fausse-offre-amazon-music/
🌐 source : https://www.malwarebytes.com/blog/threat-intel/2026/10/fake-amazon-music-x-youtube-deal-lures-creators-into-a-google-login-trap
🟢 vérification factuelle haute
#phishing #GoogleAccountTakeover #Cyberveille
https://www.europesays.com/fr/1257469/ Arnaques sur Booking : l’Europe ouvre une enquête suite à une vague d’escroqueries #Actualités #Amende #Arnaque #Booking #CommissionEuropéenne #EU #europe #FR #France #News #phishing #RépubliqueFrançaise
DaVinci Commerce claims 30% AI discoverability lift, gives no method: Patent-pending Product Context Memory pushes SKU context to AI agents via ACP, UCP and MCP. Which agents read it, and what does the vague 30% figure measure? https://ppc.land/davinci-commerce-claims-30-ai-discoverability-lift-gives-no-method/ #AI #Marketing #Ecommerce #Innovation #DataAnalytics
Listening to a concrete saw and jackhammer in the other room and sincerely debating turning off my work computer and joining them. As a career change. Seems better than gestures vaguely.
Large Language Models (LLMs) are very good at understanding the intent of the user and can give exceptionally good and accurate responses at the start of a session. When you are starting out a fresh session, it does not matter whether you are talking about science, literature, mathematics, or planning to find extraterrestrial life in our galaxy — it will give you the response you are looking for.
But as the session moves forward and the input window grows, the responses seem irrelevant or vague, and the results no longer align with your mental image.
Most people will think there is some issue in their prompt or writing style, or that maybe they are not clarifying the idea properly, and they end up confusing the LLM even more as the session decays.
But the issue is not in your idea or writing style. It is in the LLM itself. The information you are giving is not wrong, but the LLM starts to pay less attention with each passing input as the context window grows. This issue is known as Context Rot.
What is Context Rot?
Context Rot is a flaw in the architectural design of LLMs, and it has been there for the last 5–6 years. It is a phenomenon that degrades the performance of LLMs whenever they try to process a long context.
The problem is that the information is present in the context, but the model is unable to identify it within the context window.
Context Window is the working memory of an artificial intelligence or LLM — it is the maximum amount of data that an AI can see or remember during an active session.
The explanation for this problem is quite simple. The architecture of AI is designed in such a way that it naturally focuses on the beginning and end of the input and neglects the middle part. This means adding more context or information actually reduces the accuracy of the system — the attention of the AI becomes vague, and it starts hallucinating. This is known as "Lost in the Middle."
Researchers discovered Lost in the Middle using a famous technique called the "Needle in the Haystack" (NIAH) test, which was introduced by AI educator and YouTuber Greg Kamradt.
Needle in the Haystack
It is a test conducted on LLMs to evaluate the ability of a model to retrieve a specific, isolated piece of information from a large context.
As AI companies expanded and started marketing their AI products with large context windows — such as 1M, 2M, and 10M tokens — researchers needed a benchmark test to validate the claims behind these windows. During the research, they started noticing the Context Rot flaw, and to prove it, they introduced this technique to show how an AI becomes irrelevant even when its context window spans millions of tokens.
How the test works
Lost in the Middle
Even though NIAH is now used as an industry-standard tool, and top AI companies use it to showcase their powerful models, they are still unable to solve the biggest problem in AI: "Lost in the Middle." Models are still not able to manage such large chunks of data.
To understand how the Lost in the Middle problem arises, we need to understand the under-the-hood functioning of an LLM. (To learn about transformer architecture in detail, visit Great Learning.)
Large Language Models use the transformer architecture, which processes information and calculates relationships across an entire block simultaneously — unlike a human, who reads a sentence left to right. The model focuses on and emphasizes the beginning and end of the input, as these parts tend to reveal the user's intent or purpose.
This architecture is the reason models do exceptionally well on early, standalone NIAH tests but fail completely during real-world, complex reasoning conversations, where key details get buried among the instructions.
As there is no solution to this problem yet, you can use these workarounds in the meantime to increase your productivity with AI.
Techniques to Work Around Context Rot
1. Start Fresh Session
Instead of mentioning every aspect of your goal in one go, divide your idea or work into small, manageable tasks and use a new session each time to complete a single task. This way, the LLM will only try to complete your intent in the most accurate manner and will not get confused by multiple requests stacked on top of each other.
2. Handoff Approach
This is a context management technique where you summarize the LLM's output midway through the session and pass that summary down to a new session. It keeps the LLM's decision-making fresh.
3. RAG (Retrieval-Augmented Generation)
This is the most common technique used in enterprise settings to handle data at scale. In this technique, data is fetched from an external source or database in chunks using vectorization, and only the relevant chunk is fed into the LLM for that specific input. (If you need an in-depth explanation of RAG, visit GeeksForGeeks.)
4. RLM (Recursive Language Models)
This is one of the most recent approaches to context rot, described in the paper "Recursive Language Models" by Alex L. Zhang, Tim Kraska, and Omar Khattab at MIT.
In this work, the researchers explain that context rot can be reduced by storing data as an out-of-context variable inside an isolated Python REPL (Read-Eval-Print Loop) environment. The root LLM never sees the full raw text and only receives small, constant-sized metadata about it; Python execution commands are then used to read, slice, and filter keywords to actively map out the massive variable. The printed output of its own code feeds back into its next logical step.
If the model finds a dense, 10,000-word block of code or text that requires isolated semantic focus, it writes a line of code to call a fresh sub-instance of the LLM. This child model is born with a blank context window, and the root model aggregates the returned values from these sub-instances into the final response.
FAQs
Q: Is Context Rot the same thing as hallucination?
Not exactly. Hallucination is when the model makes up information that was never there in the first place. Context Rot is different — the correct information is present in the context window, the model just fails to pay attention to it because it is buried in the middle of a long input. So Context Rot can end up causing hallucination, but the root cause is attention, not invention.
Q: If I use a model with a bigger context window, will Context Rot go away?
No, and this is the part most people get wrong. A bigger context window only increases how much data the model can technically hold, it does not fix how the model pays attention to that data.
Q: How do I know if I am hitting Context Rot in my own conversations?
The clearest sign is when the model starts giving vague, generic, or slightly-off responses after a long session, even though your prompt is clear and you have already given it all the information it needs.
Q: Is there any permanent fix to Context Rot coming?
Right now, no. It is still an open architectural limitation, which is why researchers are actively working on new approaches.
References
Thanks for reading.#ai #llm #machinelearning #software #coding #development #engineering #inclusive #community
Context Rot — An Unresolved AI Issue?
C.S. Lewis: Writing Advice
I ran across a bit of writing advice from C.S. Lewis, from letters he wrote in the 1950s:
Advice to a Young Writer – The C.S. Lewis Official Substack
1. Always try to use the language so as to make quite clear what you mean and make sure your sentence couldn’t mean anything else.
2. Always prefer the plain direct word to the long, vague one. Don’t implement promises, but keep them.
3. Never use abstract nouns when concrete ones will do. If you mean “more people died,” don’t say “mortality rose.” …
Click through to the full list to see what resonates. Some of these work for me, some don’t (some days background music is very helpful!), but I find them all interesting as ways to think about how to do better as a writer.
I came to this site for the writing link, but also stumbled across an interesting discussion between Stephen Colbert and Greta Gerwig, who talks about her new adaptation of The Magician’s Nephew. This was never my favorite Narnia book, but maybe that will change? Her take on Barbie was an unexpected pleasure, and I look forward to seeing how she reinvents this Lewis story.
Greta Gerwig on The Magician’s Nephew
She talks about when she first encountered the books, how she tapped into C.S. Lewis’s creative instincts, and how she brought his rich imagery to life on the big screen.
Enjoy!
* * *
Photo by Mariana Rascão on Unsplash #365Ways #365Ways2026 #adaptations #creativity #inspiration #Narnia #Thoughts #Writers #writing #writingAdvice
Man With Sign, October 23, 02026
I wake up very bleary after a late night, lurch downstairs, start my brain with coffee and toast, then head out in the cool morning only vaguely aware of myself as a separate conscious entity. Reach Roosevelt Circle at 7:30, a testament to the power of ritual. Set up signs & speaker, hold up LET'S BUILD A BETTER FUTURE TOGETHER. Craige arrives a few minutes later.
1/
https://www.youtube.com/watch?v=_znDV_HCGqc
#ClimateChaos #GlobalWarming #HindustaniMusic #CitizenActivism
