giuseppe vitrani

[Richard Seroter @rseroter]

Kudos to @Deloitte for offering the "State of AI in the Enterprise" report without a reg wall.

Findings? Most companies haven't started redesigning work for AI. Sovereignty is playing a big part in vendor selection. Few companies have agent governance.
https://t.co/LyqwItP1Hv

[Alex Veremeyenko @alex_verem]

🚨 BREAKING: Researchers at UW Allen School and Stanford just ran the largest study ever on AI creative diversity.

70+ AI models were given the same open-ended questions. They all gave the same answers.

They asked over 70 different LLMs the exact same open-ended questions.

"Write a poem about time." "Suggest startup ideas." "Give me life advice."

Questions where there is no single right answer. Questions where 10 different humans would give you 10 completely different responses.

Instead, 70+ models from every major AI company converged on almost identical outputs. Different architectures. Different training data. Different companies. Same ideas. Same structures. Same metaphors.

They named this phenomenon the "Artificial Hivemind." And the paper won the NeurIPS 2025 Best Paper Award, which is the highest recognition in AI research, handed to a small number of papers out of thousands of submissions.

This is not a blog post or a hot take. This is award-winning, peer-reviewed science confirming something massive is broken.

The team built a dataset called Infinity-Chat with 26,000 real-world, open-ended queries and over 31,000 human preference annotations. Not toy benchmarks. Not math problems.

Real questions people actually ask chatbots every single day, organized into 6 categories and 17 subcategories covering creative writing, brainstorming, speculative scenarios, and more.

They ran all of these across 70+ open and closed-source models and measured the diversity of what came back. Two findings hit hard.

First, intra-model repetition. Ask the same model the same open-ended question five times and you get almost the same answer five times.

The "creativity" you think you're getting is the same output wearing a slightly different outfit. You ask ChatGPT, Claude, or Gemini to write you a poem about time and you keep getting the same river metaphor, the same hourglass imagery, the same reflection on mortality.

Over and over. The model isn't thinking. It's defaulting to whatever scored highest during alignment training.

Second, and this is the one that should really alarm you, inter-model homogeneity. Ask GPT, Claude, Gemini, DeepSeek, Qwen, Llama, and dozens of other models the same creative question, and they all converge on strikingly similar responses.

These are models built by completely different companies with different architectures and different training pipelines.

They should be producing wildly different outputs. They're not. 70+ models all thinking inside the same invisible box, producing the same safe, consensus-approved content that blends together into one indistinguishable voice.

So why is this happening? The researchers point directly at RLHF and current alignment techniques. The process we use to make AI "helpful and harmless" is also making it generic and boring.

When every model gets trained to optimize for human preference scores, and those preference datasets converge on a narrow definition of what "good" looks like, every model learns to produce the same safe, agreeable output. The weird answers get penalized.

The original takes get shaved off. The genuinely creative responses get killed during training because they didn't match what the average annotator rated highly. And it gets even worse.

The study found that reward models and LLM-as-judge systems are actively miscalibrated when evaluating diverse outputs. When a response is genuinely different from the mainstream but still high quality, these automated systems rate it LOWER. The very tools we built to evaluate AI quality are punishing originality and rewarding sameness.

Think about what this means if you use AI for brainstorming, content creation, business strategy, or literally any task where you need multiple perspectives. You're getting the illusion of diversity, not the real thing.

You ask for 10 startup ideas and you get 10 variations of the same 3 ideas the model learned were "safe" during training. You ask for creative writing and you get the same therapeutic, perfectly balanced, utterly forgettable tone that every other model gives.

The researchers flagged direct implications for AI in science, medicine, education, and decision support, all domains where diverse reasoning is not a nice-to-have but a requirement.

Correlated errors across models means if one AI gets something wrong, they might ALL get it wrong the same way. Shared blind spots at massive scale.

And the long-term risk is even scarier. If billions of people interact with AI systems that all think identically, and those interactions shape how people write, brainstorm, and make decisions every day, we risk a slow, invisible homogenization of human thought itself. Not because AI replaced creativity.

Because it quietly narrowed what we were exposed to until we all started thinking the same way too.

Here's what you can actually do about it right now:
→ Stop accepting first-draft AI output as creative or diverse. If you need 10 ideas, generate 30 and throw away the obvious ones
→ Use temperature and sampling parameters aggressively to push models out of their comfort zone
→ Cross-reference multiple models AND multiple prompting strategies, because same model with different prompts often beats different models with the same prompt
→ Add constraints that force novelty like "give me ideas that a traditional investor would hate" instead of "give me creative ideas"
→ Use structured prompting techniques like Verbalized Sampling to force the model to explore low-probability outputs instead of defaulting to consensus
→ Layer your own taste and judgment on top of everything AI gives you. The model gets you raw material. Your weirdness and experience make it original

This paper puts hard data behind something a lot of us have been feeling for a while. AI is getting more capable and more homogeneous at the same time.

The models are smarter, but they're all smart in the exact same way. The Artificial Hivemind is not a bug in one model. It's a systemic feature of how the entire industry builds, aligns, and evaluates language models right now.

The fix requires rethinking alignment itself, moving toward what the researchers call "pluralistic alignment" where models get rewarded for producing diverse distributions of valid answers instead of collapsing to a single consensus mode.

Until that happens, your best defense is awareness and better prompting.

[Ruben Hassid @rubenhassid]

The Anatomy of a Claude 4.6 Prompt:

1. Task

Define what you want & what success looks like:
"I want to [TASK] so that [SUCCESS CRITERIA]."
No roles, "act as a senior expert." That era is over.

2. Context Files

Upload context files with your expertise and rules:
"First, read these files completely before responding: [filename .md] - [what it contains]."
AI went from reading a sticky note to an entire book.
Stop explaining yourself in the prompt. Put it in files.

3. Reference

Show AI exactly what you want. Upload an example.
Then give patterns, tone & structure as rules. No "give me something like" & hoping AI figures it out.

4. Brief

This is the only part you actually type from scratch. Everything else is files. "Type of output + length.
Does NOT sound like. Success means."

5. Rules

Context file holds your standards, taste & audience.
Prompt: "Read it fully before starting. If you're about to break one of my rules, stop and tell me."

6. Conversation

You spent 3 years prompting AI. Now it prompts you
Prompt: "DO NOT start executing yet. Ask me clarifying questions (use 'AskUserQuestion' tool) so we can refine the approach together step by step."

7. Plan

Claude read your files before writing a single word.
Prompt: "Before you write anything, list the 3 rules from my context file that matter most for this task. Then give me your execution plan."

8. Alignment

Nothing happens until you both see the same aim. This replaces the old prompting era.
Prompt: "Only begin work once we've aligned."

Copy the full prompt template + download my personal md. files for Claude here: https://t.co/psB7XxAv8w.

[Vipin Gautam (Viipin I Gautam) @viipin8]

BYE-BYE POWERPOINT.
CLAUDE can now create a presentation in 2 minutes.

Use these prompts instead and see the magic:

[Andrea Salerno @SalernoSal]

È a tutti evidente che l’attacco all’Europa chiama ad una risposta comune. Ad un’azione vera. Mario Draghi lo sta dicendo da più di un anno inascoltato. Ma ora è il momento per la politica italiana e Europea di dimostrare di essere all’altezza della sfida. Bisogna che sia così, senza se e senza ma.
Per il futuro del nostro continente che è ricco di storia, cultura, e capacità.
Bisogna che sia ora.

[gabriella 🦊 🩷 @ziaretha]

CHE FIGATAAAA

[Marco Furfaro @marcofurfaro]

15mila persone, 3mila imprese, 500 milioni di fatturato.

Il governo Meloni ha appena distrutto un pezzo di filiera agroindustriale di eccellenza italiana nel campo della cosmesi, del florovivaismo, degli integratori alimentari, dell'erboristeria.

La maggioranza ha appena votato l'art. 18 del decreto sicurezza che vieta la produzione di cannabis light.

Un Governo in affanno, dilaniato da continui scandali, che annaspa ogni ora di più, che cerca di recuperare consenso da zero virgola facendo credere al Paese che la cannabis light produca un effetto drogante e che per questo debba essere resa illegale.

Si continua a prendere in giro l'Italia e gli italiani, mandando 15mila persone su una strada per raccattare qualche voto con l'inganno.

Com'era? Prima gli italiani? Certo, come no.

[Massimo @Misurelli77]

Quello che parlava tanto di Patria e
famiglia tentò di scappare travestito da tedesco in Svizzera con l'amante lasciando moglie e figli in Patria (che nel frattempo aveva tramutato in un cumulo di macerie)
Così, giusto per ricordare la storia.
Ma quella vera, però!

[libdem europei @libdemeuropei]

Il modo migliore per esprimere solidarietà ai giornalisti Stefania Battistini e Simone Traini, i giornalisti Rai a rischio di procedimento penale in Russia e sotto attacco da più fronti dai filoputiniani d’Italia (e per nulla supportati dal nostro vergognoso Governo) è diffondere il loro reportage, quello che sta facendo schiumare dalla rabbia i tanti fan del nuovo imperialismo sovietico (Nicolai #Lilin in testa).

Qui 👉 https://t.co/LLpm7QBH8l

Forza Stefania e Simone!

[Tg1 @Tg1Rai]

Ecco il reportage esclusivo di @StefaniaBattis4

[Mangino Brioches @manginobrioches]

Vi foste indignati per #Cutro quanto vi state indignando contro la presunta #UltimaCena (che per giunta non c'entra nulla) sareste più credibili, come pii cristiani.

#Paris2024

[We Are Tennis Italia @WeAreTennisITA]

UN COLPO DA MAESTRO 🎩

Ma cosa ha fatto Lorenzo? 😍

🎾 #Tennis #Musetti #Wimbledon #WeAreTennis

[Vitalba Azzollini @vitalbaa]

Sei un imprenditore, lavori con la Pubblica Amministrazione, la Pubblica Amministrazione ti paga con anni di ritardo e tu non puoi versare tasse e imposte allo Stato?

Colpa tua, dovresti sapere che la Pubblica Amministrazione paga con ritardi cospicui. Non sei in grado di corrispondere quanto dovuto allo Stato perché la Pubblica Amministrazione, cioè lo Stato, non ti paga? Te la sei cercata. Quindi devi pagare in ogni caso quanto devi allo Stato anche se lo Stato non paga te.

Pronuncia aberrante.

[Fanpage.it @fanpage]

Volevano che su #GioventuMeloniana calasse il silenzio.

Ma nonostante il silenzio dei telegiornali, l'inchiesta l'hanno vista milioni di persone.

[Lercio.it @lercionotizie]

#ARTICOLO Afa record, il governo consiglia di non marciare in camicia nera nelle ore più calde
-
LEGGI L'ARTICOLO di @DavidePaolino

https://t.co/lq6t7WjPS4

[Fanpage.it @fanpage]

Roberto Saviano commenta e spiega le immagini emerse da Gioventù Meloniana, l’inchiesta di https://t.co/NN3zpghRyP sul vero volto di Gioventù Nazionale, il movimento giovanile di Fratelli d’Italia #GioventuMeloniana

[OSNM - R.I.A. "Operatori Sanitari nel Mondo" @OSNMITALY]

Quando voterai mettendo la “X della Decima”, ricordati di Ferruccio Nazionale, partigiano, torturato e impiccato a 22 anni in piazza dalla X Mas anche per la tua libertà.

Sì, anche per te, che ormai non ti vergogni più di niente.

29 luglio 1944. #elezionieuropee

[Sirio 🏀 @siriomerenda]

l'incubo di Telemeloni in 'non aprite a quella Giorgia'...
come sempre bravissimo @alessiomarzilli
#propagandalive #Meloni

[Mirko Nicolino @mirkonicolino]

#Rabiot: "Sarai ricordato come uno degli allenatori più vittoriosi della #Juventus. Meritavi un addio diverso..." #Allegri