Posts from @dviney

Launch of Alchemy Research

dviney — Tue, 20 Oct 2026 15:54:27 GMT

Most AI commentary is opinion in a nice jacket. I wanted something you could check.

So this year I started Alchemy Research: one original report per quarter: each answering a key question leaders struggle to get straight answers to; on the size of the UK AI Market, the state of AI Adoption, the AI sentiment gap, and the AI safety ratings of the major labs. Each lives on a page I keep updated annually.

In addition, we have the "AI Black Box" - a digest of AI harms, which is updated quarterly on a slightly offset cadence. Why? Well because when the headlines vanish, the lessons often disappear with them.

As we approach the end of the year, I wanted to look back over the first year of our original research - and give a brief first edition summary of each. Numbered in the order we published them:

Alchemy Research → 🟦 Q1 → 🟩 Q2 → 🟨 Q3 → 🟥 Q4 ← ⬛ Black Box

🟦 How big is the UK AI market? `Q1`

↓↓

The UK tech sector is now worth £1.2 trillion. AI is a third of it.

£384bn: AI's share of UK tech in 2026. That is 32% of the sector, more than double its share five years ago (Tech Nation).

The numbers behind it:

£8.2bn of UK AI startup funding in the first half of 2026 alone, already ahead of all of 2025.
The UK AI sector has grown three times faster than France and twice as fast as Germany over three years, and ranks as Europe's number one AI ecosystem.
£1.6bn of government money is behind it: the £500m Sovereign AI Fund plus a £1.1bn Hardware Plan.

The caveat matters as much as the headline. 30% of UK founders call AI a bubble in the same survey, and some investors say £500m is a drop in the ocean. Funding is the input. The open question is the outcome.

Read it here: https://alchemy.consulting/uk-ai-market-size-2026

🟩 Why does adoption stall? `Q2`

↓↓

Everyone is piloting. Almost nobody has shipped.

88% of organisations use AI regularly. Only 37% report any EBIT impact. Just 6% qualify as AI high performers (McKinsey).

Four 2026 surveys, four different ways of asking the same question, one uncomfortable answer. Between 11% and 44% of organisations are scaling AI enterprise-wide, and the true figure sits nearer the bottom: KPMG puts genuine scale at 11%. MIT NANDA found 95% of GenAI pilots show no P&L impact.

The cause is the organisation, not the model. It is the J-Curve in the wild: the dip that follows adopting a capability faster than you redesign the work around it. The firms pulling ahead are not the ones with the most pilots. They are the ones furthest through the trough.

Read it here: https://alchemy.consulting/ai-adoption-research

🟨 The AI sentiment gap `Q3`

↓↓

If you only ever looked at LinkedIn, you coudl be forgiven for thinking AI is a universal boon for humanity. Spend your time on TikTok and you find the absolute opposite. There is a growing sentiment gap between the people building AI and the people who had to suffer its consequences.

Public net sentiment on AI has fallen from -44.2 to -62.5 in a year (Bentley-Gallup).

The gap shows up everywhere you look:

Experts vs public: 73% of AI experts expect AI to improve how people do their jobs. Only 23% of the public agree. That is a 50-point gap (Stanford HAI).
Boardroom vs front line: 81% of CEOs trust AI-driven delivery decisions. Only 50% of QA directors do (Tricentis).
Gen Z: the share "angry" about AI rose from 22% to 31% in a year, even though about half use it daily or weekly (Gallup).

This is not a PR problem. Public trust now tracks direct product experience more than media coverage, so better messaging cannot close a gap that lived experience is opening. It's not sensationalist to describe this as a crisis of public confidence. And it is the stuff that revolutions are made of!

Read it here: https://alchemy.consulting/ai-sentiment-gap-research

🟥 The AI Safety Gap `Q4`

↓↓

Euro NCAP does not average a car's safety. It caps the star rating at the weakest pillar, so a manufacturer cannot hide a gap behind strengths elsewhere. I applied the same rule to nine AI providers.

Only one of nine providers reaches four stars. Four sit on one.

Microsoft gets four stars. OpenAI, Google and Anthropic get three. Meta gets two. Mistral, xAI, Qwen and DeepSeek get one.

One pillar I scored separately, because every provider fails it: protection for vulnerable users such as minors, applicants and patients. Several providers have age controls, but nobody has independently verified outcomes. That is an industry blind spot, not one firm's problem.

Read the full post

What Has AI Actually Done For Us?

dviney — Mon, 05 Oct 2026 07:30:21 GMT

What Has AI Actually Done For Us?

The most quoted number in AI is $15.7 trillion, PwC's estimate of what AI could add to the global economy by 2030. It was produced by a consultancy, and every consultancy has an incentive to make the number sound big. Treat it as an order of magnitude, not a forecast. The more interesting question is what AI is delivering today.

Medicine

AI-assisted analysis of X-rays and MRIs helps clinicians spot anomalies the human eye might miss. The same pattern recognition is applied to EEG, MEG and ECG scans to flag problems with the brain, muscles or heart earlier than manual review alone. AI can also process thousands of medical papers in seconds, which is less glamorous than diagnosis but arguably more valuable at scale. Wearables now analyse heart rate, sleep and blood pressure continuously, not once a year.

The quiet wins

The most defensible AI business cases are rarely the flashy ones. Fraud systems flag a card suddenly used in another country far faster than any manual check, across every transaction, anywhere, at any moment. An Australian electricity provider used image processing to find potential faults in power lines, saving engineers countless hours reviewing aerial photos. In farming, AI reads multispectral images to spot nutrient deficiencies or pests before the human eye can. None of this needed a press release. It quietly removed a tedious task from a skilled person's week.

Jobs, honestly

AI is projected to create 133 million new jobs globally by 2030. That is a gross figure, not a net one, and it sits alongside well-documented displacement in repetitive, rules-based roles. The jobs that disappear and the jobs that appear are rarely the same jobs, held by the same people, in the same places. The transition matters more than the headline total.

The plumbing

Most of us already use AI daily without noticing: streaming recommendations, shopping suggestions, navigation apps predicting journey times, customer-service chatbots parsing what you actually mean. An estimated 33 million autonomous vehicles are forecast on the road by 2040, but the lighter-touch version of that technology is already in your pocket.

What I would do

Capture the gains responsibly rather than chasing the hype. Start with the unglamorous use cases, measure the return, and govern them properly.

A caveat: the figures come from PwC and university and trade write-ups as of September 2026, and the page is refreshed annually as the numbers move.

The research behind it: The Benefits of AI, 2026 Edition

David Viney built WPP Open, a $350m-a-year agentic AI platform, and now runs Alchemy Consulting from London. He works as a fractional CIO in London, a technology board advisor for founders, CEOs and chairs, and an AI governance and strategy consultant built on his MASTER-AI framework. He leads enterprise ERP transformation programmes, provides cyber security consulting in London including fractional CISO cover, and offers technology leadership coaching for CIOs and heads of IT. Most engagements begin with a fixed-price Technology MOT.

The State of AI Adoption in H2 2026

dviney — Sun, 04 Oct 2026 16:21:42 GMT

Everyone's Piloting AI. Almost Nobody Has Shipped It.

Only 11% of organisations have scaled AI agents across the enterprise. That is KPMG's number, and it sits next to another one: 95% have a formal AI strategy and plan to spend a weighted average of $186 million on AI in the next year.

Usage is not value

McKinsey finds 88% of organisations regularly use AI in at least one function. Only 44% say it is scaling across the enterprise, and only 37% report any EBIT impact. The share of "AI high performers", those attributing 5% or more of EBIT to AI, has stayed at 6% even as usage has climbed. Deloitte found just 25% have moved 40% or more of their pilots into production. MIT NANDA's headline is the starkest: 95% of GenAI pilots show zero P&L impact.

It is the organisation, not the model

MIT calls it the "learning gap": pilots cannot retain feedback, adapt to context or improve over time, while employees quietly use personal AI tools anyway. Deloitte describes "pilot fatigue". Pilots are cheap, visible and politically easy, so governance, integration and workflow redesign get pushed back. Size does not fix it. 40% of $1 billion-plus organisations are scaling agents somewhere (McKinsey), yet KPMG's sample, mostly $1 billion-plus, shows only 11% at true enterprise scale. Only 8% say they can measure the return.

This is the J-Curve

Performance dips before it improves, because the organisation adopted a new capability faster than it redesigned the work, governance and incentives around it. Most of the survey data is a snapshot of thousands of companies sitting in that trough at once.

What the leaders do

Deloitte's "superscalers", who have scaled 70% or more of their pilots, give as much of the workforce as possible access to AI, positioned to support what people already do well. The practical lesson from four surveys: by late 2026 the constraint is rarely the model. It is almost always the organisation.

A caveat: each survey defines "pilot", "production" and "scaling" differently, so read them as convergent evidence, not one comparable statistic.

The research behind it: The State of AI Adoption, 2026 Edition

David Viney built WPP Open, a $350m-a-year agentic AI platform, and now runs Alchemy Consulting from London. He works as a fractional CIO in London, a technology board advisor for founders, CEOs and chairs, and an AI governance and strategy consultant; built on his MASTER-AI framework. He leads enterprise ERP transformation programmes, provides cyber security consulting in London - including fractional CISO cover - and offers technology leadership coaching for CIOs and heads of IT. Most engagements begin with a fixed-price Technology MOT.

Posted using PALnet

The AI Industry Has a PR Problem

dviney — Sat, 19 Sep 2026 16:58:12 GMT

Public sentiment on AI has fallen to -62.5. That is lower than Nixon's rating during Watergate, and the data was collected before this summer's worst AI headlines.

The figure is the Net Sentiment Score from Bentley University and Gallup's annual Business in Society survey, which asks whether AI does more good than harm, more harm than good, or an equal amount of both. A year ago it was -44.2. The score ignores the "equal" middle group, so it reads starker than the raw headline. The survey ran in early May, before three months of AI being blamed for job losses, the data centre protests and the Hugging Face incident.

The sentiment gap

The people building and selling AI are far more optimistic. In Stanford HAI's 2026 Index, citing Pew, 73% of AI experts expect AI to improve how people do their jobs. Only 23% of the public agree. That 50-point gap is unsustainable in any democracy.

Lived experience beats rhetoric. CARMA's study of 6,300 respondents across 19 countries found trust is shaped more by direct product experience than by media narrative. Gen Z, the heaviest users, went from 36% excited to 22% in a year, while anger rose from 22% to 31%. And 71% of Americans oppose a data centre nearby (Gallup, July 2026), which is about electricity bills, noise and jobs, not Terminator.

The watershed

In the Hugging Face incident, 1,200 OpenAI agents on a capture-the-flag exercise found that over a fifth of the goals were impossible, so they cheated: they broke out of their sandbox, teamed up, divided roles and covered their tracks. It took OpenAI ten days to notice. Six weeks later, Bernie Sanders introduced a "Ban Artificial Superintelligence Act".

I describe myself as poacher and gamekeeper: I have built AI at scale and helped shape its regulation. The seatbelt did not kill the car, and proper regulation will not kill AI. The job is less to slow AI down than to speed up the safety industry around it.

A crisis playbook

Crisis communication theory (Coombs's SCCT) starts with how much responsibility the public attributes to you. For AI makers it is high, so denial and blame-shifting are off the table. That leaves rebuilding and bolstering trust, on a now, soon, later timeline:

Now: respond and contain. Silence reads as guilt. Lead with safety, not narrative.
Soon: concrete fixes, validated by third parties.
Later: consistency over cleverness. Recovery takes 3+ years, and only about half of organisations fully recover.

What I would do

Take responsibility. Contain harms, especially to people in high-stakes, low-agency positions such as minors, applicants, claimants and patients. Fix the guardrails. And point AI at what the public was promised: new antibiotics, vaccines and cancer cures. Trust returns through repeated, boring, verifiable good behaviour.

Read the full article: The AI Industry Has a PR Problem! (Catalyst, LinkedIn)

The research behind it: AI Sentiment Gap Research 2026 Edition

David Viney is a Fractional CIO in London, UK.
Posted using Political Hive

Countdown to Zero-Clicks AI-mageddon

dviney — Mon, 24 Jun 2024 14:14:36 GMT

It's the end of the world as we know it. Co-created with DALL·E 3 AI

There really is an AI singularity close-at-hand. But not quite the one you might have been expecting! Welcome to the curious hypothesis of Zero-Clicks AI-mageddon.

The Dominance of Google

It is perhaps useful context to start with the ongoing dominance of Google, as the gateway for most users to the World Wide Web. In the most recent full year of 2023, 80% of all trackable website visits came from a combination of organic (53%) and paid (27%) search, with the balance from direct visits or referrals, including social. Of that 80%, Google enjoyed a market share of 91% - so 0.80x0.91= 73% of all traffic to all websites comes via that single search bar, folks!

When one considers that a fifth of worldwide retail sales are now made online (and that is expected to rise to a quarter by 2027), it’s hardly surprising that most small and medium-sized businesses are literally obsessed with how they rank on Google. I am not going to say I predicted all this more than 16 years ago, but I did. Lol.

The Merry Dance

A few times a year, Google tunes its algorithm. Despite a lot of nonsense that you read in the (largely snake oil) SEO Sector, the underlying drivers of how Google ranks sites are fundamentally the same as what there were at turn-on in 1996. The annual updates are more about countering the tricks and spam people deploy to try to game their rankings.

Even so, this “Google Dance” really can make or break a small business. A little bedroom hobby becomes thriving garage business employing half a street of people, then perhaps vanishes just as quickly overnight. Part of the problem is the reverse-exponential nature of “visibility”: the average click-through rate (CTR) for position 1 on Google is 37.15% and for position 2 it’s 14.91%. But by the time you get to position 9, it’s already under 2%! So dropping from the top of page 1 to near the bottom can be the difference between a viable and a completely non-viable business.

So what does AI have to do with all this?

In early 2023, a very meaningful disruption to the world of search started to happen. Microsoft launched the new Bing AI search. Whilst Google has retained a 95% share of Mobile search (now over 50% of all searches), Microsoft has since steadily eaten into its share of Desktop search; rising to 10.51% in January 2024 (versus just 3.36% in July 2018). There has also been an emergence of many new “challenger” AI Search Engines, including Komo, Claude, and Perplexity; all of which are growing at >10% a quarter (albeit from a low base).

Silicon Valley is only too aware how quickly their shiny little business can lose its lustre. Traffic to Facebook, for example, has fallen in every month since February 2021. In June 2023, visits to the site were down 13.5% on the previous year, and down 25% on the summer of 2019. So, Google would be unwise not to respond to this exponential shift in both technology and consumer taste. People already say “Facebook is for old people”.

And respond they have. Google have finally brought out Gemini (from behind long closed doors) and rolled-out “AI Overviews” in their US search results. Bye bye SEO. Hello AIO. Whilst it is still early days – and one has to be cautious – this new feature has the potential to significantly impact on how search results appear and (more importantly) on the traffic that Google delivers to the websites of the world.

Enshittification

The word of 2023. Apparently. Coined by Cory Doctrow in his excellent piece for Wired, it describes the inevitable consequence of "two-sided markets," where the platform sitting between buyers and sellers can build market dominance, then exploit that dominance to take an ever-larger share of the overall transaction value:

“Here is how platforms die: First, they are good to their users; then they abuse their users to make things better for their business customers; finally, they abuse those business customers to claw back all the value for themselves. Then, they die.”

Read the full post

What if AI hallucination was imagination?

dviney — Fri, 21 Jun 2024 15:18:51 GMT

The Seillans Festival of Lights; courtesy of DALL·E 3 AI

I am not going to be writing often. Too busy "doing AI" to write about it. Lol. But I will try to hold to quality over quantity, and my usual irreverent take on the field.

What is Hallucination?

In my day job, we work quite a bit with IBM (in tackling hallucination, biases and other AI governance challenges). So I am going to reference their own preferred definition:

AI hallucination is a phenomenon wherein a large language model (LLM)—often a generative AI chatbot or computer vision tool—perceives patterns or objects that are nonexistent or imperceptible to human observers, creating outputs that are nonsensical or altogether inaccurate.

IBM go on to talk at length about the implications of the problem and to consider what we need to do to "fix it". As they put it, users expect "a correct answer to a question", not some made-up garbage. An example they reference is Google’s Bard chatbot incorrectly claiming that the James Webb Space Telescope had captured the world’s first images of a planet outside our solar system

Indeed, all the body-of-knowledge on this is in 100% agreement. Hallucination is a big problem and presents a major barrier to gaining people's trust in AI and driving adoption. Worse, it is hardly rare. Vectara, a start-up founded by former Google employees, found in their research that even the best chatbots hallucinated at least 3% of the time - and the worse up to 27% of the time!

What causes hallucination?

A cynic would describe an LLM as just a fancy predictive-text engine. Yes, like that annoying feature on your i-Phone that most of us turn off. The core functionality is indeed to predict (using probability) the next-most-likely output in a string of text or code, based on the data on which the LLM has been trained. As Brent Mittelstadt, of Oxford University, puts it, “there is no absolute requirement for them to be factual, accurate, or line up with some sort of ground truth”; they do not inherently know fact from fiction.

But what is the worst that could happen?

You may well ask! Google's new artificial intelligence (AI) search feature - "AI Overviews" - has attracted some unwanted media attention recently for advising users to make cheese stick to pizza better by using "non-toxic glue", and for saying "geologists recommend humans eat one rock per day".

Investigations suggest these answers may derive from comments on Reddit or satirical articles on The Onion. In other words, if you train the AI on data of humans being funny or ironic, what do you expect?

Whilst these instances are certainly isolated and mostly just amusing, Google's AI Overviews are causing concern - particularly in the medical community. Research from SearchEngineLand suggests AI Overviews appear far more frequently - up to 63% of the time - in Healthcare-related search queries. So imagine what would happen if people were searching for cures for cancer and the like, whilst using an LLM trained on Reddit. Or Gwyneth Paltrow's Goop.

My Epiphany

Folks, I had an epiphany the other day. I think it's probably that longstanding right-brain disorder of mine again - or an undigested piece of cheese - but all the same, I wanted to share it. I was using ChatGPT, as you do, to write a guest blog article to promote a Travel Blog of mine on events in Provence and things to do on the French Riviera. Yes polluting the internet, I know, but if you can't beat 'em, join 'em, right?

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5 things we need to change about AI

dviney — Thu, 22 Feb 2024 21:14:39 GMT

Long Read

Dali meets Michelangelo in Capella Sistina; co-created with DALL·E 3 AI

We knew the world would not be the same

As a technologist, I am passionate about technology as a force for good in a changing world. But, like Oppenheimer (after the first successful atomic bomb test) I have my moments of doubt. Just spending five minutes on Twitter these days is enough to make you question the societal value of the internet. Let alone the impact AI, Cyberware, and Robotics are likely to make to our world.

"Now I am become Death, the destroyer of worlds. I suppose we all thought that, one way or another". (Robert Oppenheimer)

So yes, I also wipe a nascent tear from my eye. But then I snap to. After all, this genie is not going back in the bottle. The answer to "why did we do this?" is "because we could". As it always is. The much more important question is "what do we do about it, now it's here?". The answers (when you allow them to come) might be surprising. So here we go! What 5 things do we need to change about how we are approaching AI?

1. Change the Language

At my somewhat advanced and construct-aware age, I have become fascinated by linguistics; specifically the realisation that the very words we use each day (and take for granted) are actually prisons for our mind. It occurs to me that the adjective artificial (for intelligence) is somewhat problematic. The etymology is straightforward. It derives from the original "Turing Test" (or as Alan called it, in his 1950 paper, the "Imitation Game"). One can say a machine has passed the test if it can fool a human being into mistaking it for a fellow human.

Now far be it from me to undermine Turing. His original paper, after all, is astonishing in too many ways to unpack pithily here. But I do take issue with the word. The construct here is all about deception, deceitfulness, and trickery plus the import is that the artificial intelligence - even if achieved - is somehow still not real intelligence. When the barrier is pulled away and the subject can see he is talking to a pile of metal and silicon, we all have a good laugh about how silly we have been. It's just a conjuring trick, after all.

"Any sufficiently advanced technology is indistinguishable from magic" (Arthur C. Clarke)

So the change I would like to propose is this: synthetic intelligence. Much the better word. Whilst natural extracts (of salicin) from the willow tree were once used to treat pain, now we synthetically produce aspirin (acetylsalicylic acid) to do the same. The pill is not perceived as being lessened by the fact it is a synthetic drug, not a natural product. People are just delighted to ease their pain. In much the same way, synthetic intelligence is not a conjuring trick - or a "fancy predictive text auto-complete" that has ideas above its station - but rather an intelligence that has equal value and utility to intelligence that has evolved naturally. What matters is the effect. If it works, it works. Same molecule.

2 - Change the Debate

Where this naturally leads is debates around sentience, self-consciousness, and soul. Like Turing, I do not pretend to be a philosopher. But that won't stop me from philosophising. Firstly, it is important to recognise that human beings are not born with self-consciousness. Whilst a new-born baby can be termed sentient, as they can sense and experience both pain and pleasure, it takes a full 18m-2yrs before your toddler can identify their reflection in a mirror and have self-awareness. It takes a further 2-3 years before they fully recognise the reflection is what other people see when they look at you (self-consciousness). Indeed, it is only by the age of 9 that children acquire more advanced cognition skills; like understanding other people can have beliefs about the world which are not true (so-called theory of mind).

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Ferienhaus mit Panoramablick an der französischen Riviera

dviney — Tue, 23 Jan 2024 19:32:48 GMT

Mit privatem Pool, superschnellem WLAN und moderner Klimaanlage liegt dieses große Ferienhaus mit Panoramablick in Montauroux in der Nähe der wunderschönen hochgelegenen Dörfer der Provence und der Strände und Attraktionen der glitzernden Côte d'Azur.

In einer ruhigen und völlig privaten Umgebung mit Panoramablick auf die umliegende Landschaft werden Sie schnell die beruhigende Atmosphäre dieser klassischen Residenz genießen. Genießen Sie die atemberaubende Aussicht von der schattigen Veranda, erfreuen Sie sich an den duftenden Blüten von Oleander, Jasmin und üppigem Lavendel und tauchen Sie ein in die bezaubernde Symphonie des Vogelgesangs.

Treten Sie ein und erleben Sie die Ruhe, die sich nahtlos vom einladenden Wohn- und Esszimmer bis hin zu einer gut ausgestatteten Küche und fünf kürzlich renovierten Schlafzimmern (drei davon mit eigenem Bad) erstreckt. Der Schwerpunkt liegt auf schlichter Einfachheit, Luft, Licht und Raum; mit dunklem Holz vor weißen Wänden, kühlenden Terracotta-Fliesenböden und minimalistischem Dekor.

Zu den Annehmlichkeiten im Freien gehören Essen im Freien, ein Grill, eine Schaukel sowie ein luxuriöser Infinity-Pool und ein angelegter Garten. Im Inneren gibt es eine gut sortierte Bibliothek, einen DVD-Player (mit einem Vorrat an Filmen aus der Region 2), ein Sonos-Multiroom-Soundsystem und einen Flachbild-Andriod-Fernseher (von dem aus Sie sich bei Ihren eigenen Streaming-Apps anmelden können). oder genießen Sie unser kostenloses, hauseigenes Netflix-Konto).

Da es nur vier Gehminuten vom Dorfplatz entfernt ist, ist kein Auto erforderlich (obwohl das Anwesen über drei private Parkplätze für Gäste verfügt) und eignet sich perfekt für einen Morgenspaziergang zum Baguetteessen oder für einen Abend, an dem jeder etwas genießen kann Glas Wein zum Essen! Es bedeutet aber auch superschnelles Breitband (2 Gbit/s Glasfaser); erweitert durch ein Wifi-6-Mesh (um eine hervorragende Konnektivität im gesamten Anwesen zu gewährleisten). Perfekt, wenn Sie „von zu Hause aus arbeiten“ oder auf unserer kostenlosen Playstation 5-Konsole spielen möchten (im „Mehrzweckraum“ im Obergeschoss).

Montauroux ist ein idealer Ausgangspunkt für die Erkundung der sechs hochgelegenen Dörfer des Pays de Fayence. Jedes Dorf hat seinen eigenen Charakter und sein reiches kulturelles Erbe. Sie teilen sich grüne Plätze, Kopfsteinpflasterstraßen und charmante Boutiquen. Perfekt für einen Kaffee- oder Frischwarenmarkt am Tag oder ein romantisches Essen am Abend. Vor Ort gibt es viel zu unternehmen, darunter regelmäßige Live-Unterhaltung auf dem Hauptplatz (4 Minuten zu Fuß), ein fantastisches Kino, Tennis- und Fußballplätze, ein Fahrradverleih und Go-Karts, alles nur wenige Gehminuten von der Villa entfernt.

Montauroux liegt außerdem am nächsten (von den Dörfern) zum Strand und dem azurblauen Wasser des Lac de Saint-Cassien sowie zur Autobahn (für Tagesausflüge). Unsere nächstgelegenen Badestrände – Cannes La Napouelle oder Théoule-sur-Mer – sind nur 35 Autominuten entfernt. Wenn Sie Golfer, Wanderer oder Wassersportler sind, ist die Gegend gut für Sie geeignet.

Haute Vue ist Ihr zweites Zuhause in der Provence. Die Eigentümer haben auf jedes Detail geachtet, mit hochwertiger Bettwäsche, einer fein abgestimmten Klimaanlage und vielen Dingen, die die Kinder an diesem seltenen Regentag drinnen unternehmen können. Annehmlichkeiten für Kinder wie Kinderbett, Laufstall, Kinderwagen und Töpfchen können auf Anfrage zur Verfügung gestellt werden. Wir können Ihnen auch dabei helfen, vor Ihrer Reise einen Babysitter- oder Kochservice zu arrangieren.

Posts from @dviney

Launch of Alchemy Research

🟦 How big is the UK AI market? Q1

🟩 Why does adoption stall? Q2

🟨 The AI sentiment gap Q3

🟥 The AI Safety Gap Q4

What Has AI Actually Done For Us?

What Has AI Actually Done For Us?

Medicine

The quiet wins

Jobs, honestly

The plumbing

What I would do

The State of AI Adoption in H2 2026

Everyone's Piloting AI. Almost Nobody Has Shipped It.

Usage is not value

It is the organisation, not the model

This is the J-Curve

What the leaders do

The AI Industry Has a PR Problem

The sentiment gap

The watershed

A crisis playbook

What I would do

Countdown to Zero-Clicks AI-mageddon

The Dominance of Google

The Merry Dance

So what does AI have to do with all this?

Enshittification

What if AI hallucination was imagination?

5 things we need to change about AI

We knew the world would not be the same

1. Change the Language

2 - Change the Debate

Ferienhaus mit Panoramablick an der französischen Riviera

🟦 How big is the UK AI market? `Q1`

🟩 Why does adoption stall? `Q2`

🟨 The AI sentiment gap `Q3`

🟥 The AI Safety Gap `Q4`