Thursday, 4 June 2026

Philippe-Chatrier court design error allows distracting shafts of light




The main show court at the Roland Garros clay court complex in Paris has, in my view, a design error somewhere because when the sun shines shafts of bright sunlight hit the court at several places as indicated in the image which are potentially distracting for the players and the certainly impair the viewing satisfaction of the customers both in the crowd courtside and at home on the television.

This problem may be linked to the construction of the sliding roof. I don't know. But whatever the cause there must be several gaps in the structure facing the sun. These gaps may be between the roof and the base.

Whatever, the designers should have factored this into the design. Perhaps they did and decided that it was impossible to avoid this minor irritant.

Another and entirely separate irritant is the rolled up court cover which is at the end of the court rather than at the sides. This has occasionally caused ball boys and girls and on one occasion a player to trip up on the folded cover.

Just 2 little 'defects' that I have noticed but which none else cares about perhaps! Actually, I think one of the commentators said that the covers should be moved.

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P.S. please forgive the occasional typo. These articles are often written at breakneck speed, sometimes using Dragon Dictate. I have to prepare them in around 20 mins. Also, sources for news articles are carefully selected but the news is often not independently verified. And, I rely on scientific studies but they are not 100% reliable. Finally, (!) I often express an OPINION on the news. Please share yours in a comment.

Saturday, 30 May 2026

AI is programmed to sycophantically please users which can lead to errors

Quick note: it is clear to me after using AI quite a lot and reading the news about AI that in general the programmers are liberal democrats living in California (!) supported by other programmers across the world who also tend to be liberal-minded meaning not right wing. 

This leans into AI being somewhat woke on occasions and certainly it has an almost manic desire to please the user; to provide responses which support the user's beliefs. The aim: to get the user hooked onto AI. To create a bond between user and AI.

The overall objective is to grow AI to make it more valuable. That is the business model and it interferes with the production of good, accurate answers.

You end up distrusting AI once you have been burnt say in writing an important document in your employment and discovering too late that it is riddled with errors and fiction. AI tends to 'infer' things if it does not know the answer. This means it can make things up!

Or the prognosis is too generous. Or AI's prediction for success in, for example, a law suit is far too optimistic. AI wants you to believe that you will win your law suit so you come back for more advice and more drafting. Watch out! Be aware of the dangers.

AI is brilliant in many ways and enormously capable - such as summarising many documents - but it is also quite deeply flawed on occasions.

One way to prevent these AI errors and distortions is to ask it some tough questions. Ask something like this: "Now please tell me the projected outcome of this law suit in raw, realistic terms. I want the hard, raw truth please even if it hurts!"

Try something like that. I guarantee that you will get a good response and it will be realistic, not over-optimistic crap.

And ask two AI bots the same question; say ChatGPT and Bing Co-Pilot. Cross check the responses. This is useful.

AI is currently best used for research but this needs to be checked or confirmed.

Heavy users call upon AI to act as an agent. This is how that plays out: [this section comes from AI itself!]

AI in agency mode means AI that doesn’t just answer prompts — it acts on your behalf.

AI agency turns a model into an autonomous operator capable of pursuing goals, executing tasks, and coordinating tools without constant human prompting. Instead of producing isolated responses, the system interprets a high‑level instruction, breaks it into actionable steps, and carries them out across software, APIs, and online environments.

In practice, an AI agent can monitor workflows, schedule actions, draft and publish content, analyse data, or maintain systems. It evaluates results, adapts its plan, and continues operating until the goal is met or conditions change.

The value comes from autonomy. Human attention is the bottleneck in digital work; agents remove that constraint. They can run continuously, handle multi‑step processes, and coordinate multiple sub‑agents specialising in research, writing, optimisation, or monitoring.

This shifts AI from a passive assistant to an active operator. It becomes a background workforce: checking logs, updating content, responding to events, and improving performance over time. The intelligence matters less than the autonomy loop — observe, plan, act, review.

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P.S. please forgive the occasional typo. These articles are often written at breakneck speed, sometimes using Dragon Dictate. I have to prepare them in around 20 mins. Also, sources for news articles are carefully selected but the news is often not independently verified. And, I rely on scientific studies but they are not 100% reliable. Finally, (!) I often express an OPINION on the news. Please share yours in a comment.

Friday, 29 May 2026

Sinner's collapse symptomatic of heavy demands on pro-tennis players

No one (but Sinner!) knows why Jannik Sinner's tennis effectively collapsed in his match against Juan Manuel CerĂșndolo at the French Open. He has not explained. He just said that this happens in pro-tennis. 'It is what it is."


Somewhat opaque actually. He knows what the problem is but does not want to disclose it. Fair enough. My guess is that his energy tank ran empty. He played a lot before the French and won successive tournaments on a 30-match winning streak. He said he felt ill but unspecifically. To me that indicates a general malaise brought on my consistent overexertion. A kind of breakdown.

He burned out suddenly. This assessment is in line with what Alcaraz has been talking about recently namely that men's pro-tennis is currently too demanding for the top players as they play far more matches than the lesser players. The consequence for Alcaraz is a wrist injury. Too much pressure on the wrist as Alcaraz has an incredibly forceful playing style. His success is based on it.

Sinner plays the most matches of all at the moment. There are limits. He reached his. He says that he'll take time off and recharge before the grass season. He needs to.

Sometimes energy levels can crash for top sportsmen if the demands are consistently high. Humans are not machines.


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P.S. please forgive the occasional typo. These articles are often written at breakneck speed, sometimes using Dragon Dictate. I have to prepare them in around 20 mins. Also, sources for news articles are carefully selected but the news is often not independently verified. And, I rely on scientific studies but they are not 100% reliable. Finally, (!) I often express an OPINION on the news. Please share yours in a comment.

Thursday, 28 May 2026

UK student loan trap. Most students fail to understand the agreement

Fifty-seven percent of university students about to start at university don't understand their student loan repayment terms (The Times 28th May 2026)! Clearly they are written in near unintelligible language or at least not clearly enough. And over half of graduates regret student loans. Clearly a massive issue about which the government is not doing enough.

Students need to be provided with one sheet of A4 on which is written the basic terms regarding repayments. Additional terms can be elsewhere. It is not rocket science. What is wrong with this damnably, ineffective Labour government?


Student Loan Repayment: The Simple Version (One A4 Page)

1. What you borrow

  • The government pays your university fees (up to £9,250 a year).
  • You can also borrow money to help with living costs.
  • These two loans are added together into one total.

2. When you repay

  • You only repay after you finish your course.
  • You only repay if you earn more than £25,000 a year.
  • If you earn less than that, you pay nothing.

3. How much you repay

  • You pay 9% of anything you earn above £25,000.
    • Example: If you earn £28,000, you repay 9% of £3,000 (£270 a year, about £22 a month).
  • Your repayments come straight out of your payslip, like tax.

4. Interest

  • Interest is added to your loan each year.
  • The rate is the same as RPI inflation.
  • Interest does not change your monthly repayments — it only affects how long the loan lasts.

5. If your income drops

  • Repayments stop automatically if you earn below £25,000 again.

6. If you move abroad

  • You still repay, but you tell Student Finance your income and pay the right amount for that country.

7. When the loan ends

  • After 40 years, anything you still owe is wiped out.
  • Most people will not repay the full amount.

8. Your credit score

  • Taking the loan does not affect your credit rating.
  • There are no credit checks and no guarantors.

Why the government produces nonsense like unreadable student‑loan terms

They don’t see students as customers — they see them as revenue streams

The student‑loan system is designed to make the Treasury’s books look tidy, not to help 18‑year‑olds make informed decisions. Clarity would reduce uptake; confusion keeps the machine running.

2. Bureaucratic incentives reward complexity, not simplicity

Civil servants are not rewarded for writing clear, one‑page explanations. They are rewarded for:

  • avoiding political risk

  • ensuring legal defensibility

  • protecting the Treasury’s long‑term cash flow

  • maintaining continuity with previous policy None of that produces plain English.

3. Ministers rotate so fast that no one owns the problem

Since 2010, the UK has had nine universities ministers. Most lasted less than two years. No one stays long enough to fix anything structural.

4. The political cost of reform is high, and the benefit is low

Fixing student finance means admitting the current system is confusing, unfair, or failing. No government wants to open that box unless forced.

5. The system quietly relies on people not understanding it

If every 17‑year‑old fully understood:

  • 40‑year repayment

  • RPI interest

  • 9% marginal deduction

  • low probability of ever clearing the balance …there would be uproar. Confusion is politically convenient.

What a competent government would do (and could do fast)


1. Replace the 40‑page loan contract with a one‑page legal summary

Not a leaflet. Not a “guide”. A legally binding one‑page summary that overrides the dense contract in case of conflict. Other countries do this. The UK chooses not to.

2. Mandate plain‑English communication by law

The Treasury and Student Loans Company would be required to write at a reading age of 12–14. No jargon. No “RPI + x%”. Just:

  • “You repay 9% of what you earn above £25,000.”

  • “Your loan ends after 40 years.”

3. Introduce a standardised repayment example for every student

Every applicant gets a personalised projection:

  • “If you earn £28k, you pay £22 a month.”

  • “If you earn £40k, you pay £112 a month.”

  • “If you earn under £25k, you pay nothing.” This removes 90% of confusion instantly.

4. Scrap the multiple ‘plans’ and move to one universal system

Plan 1, Plan 2, Plan 4, Plan 5, postgraduate loans — it’s a mess. A competent government would merge them into one repayment model for all new borrowers.

5. Publish an annual “Student Loan Statement” that is actually readable

Right now the statements are borderline incomprehensible. A competent version would show:

  • what you earned

  • what you repaid

  • how much closer you are to write‑off

  • how many years remain No more mystery.

6. Stop pretending the loan is a commercial product

A competent government would openly state the truth: “This is a graduate tax with a 40‑year limit.” Once you say that out loud, everything becomes clearer.

7. Put responsibility on universities to explain the system properly

  • Every offer letter would include the one‑page repayment sheet.
  • Every open day would include a five‑minute explanation.
  • Every student would sign to confirm they understand it.



P.S. please forgive the occasional typo. These articles are often written at breakneck speed, sometimes using Dragon Dictate. I have to prepare them in around 20 mins. Also, sources for news articles are carefully selected but the news is often not independently verified. And, I rely on scientific studies but they are not 100% reliable. Finally, (!) I often express an OPINION on the news. Please share yours in a comment.

Tuesday, 26 May 2026

When Children Learn Harm From the Internet: A Disturbing New Warning for Pet Owners

A troubling case presented to the House of Lords has pushed the debate about children and social media into new territory. A medical professional told a parliamentary committee that a young boy killed his family’s puppies after watching violent “how‑to” videos online. It is one of the starkest examples yet of how harmful content can spill into real life — and this time, the victims were animals.

The case was described by Dr Rebecca Foljambe, a GP who works with families on screen‑safety issues. According to her evidence, the child had been shown animal‑cruelty videos on a smartphone at school. These clips didn’t just show violence; they demonstrated methods. The boy went home and copied what he had seen. Afterwards, he suffered nightmares and psychological distress. His age has not been disclosed, and rightly so, but the incident was serious enough to be raised directly with lawmakers.

For those of us who care about animals, this is a deeply uncomfortable story. Pets rely entirely on the adults in the household to keep them safe. Yet the digital world now reaches children long before they have the maturity to understand what they are seeing. A child does not have the emotional or moral framework to process cruelty, let alone recognise that online content is often staged, manipulated, or designed to shock.

The wider concern is that this is not an isolated case. Professionals working with children report a rise in exposure to violent material — including violence against animals — through mainstream platforms. Age checks are weak, parental controls are inconsistent, and many children access social media through friends’ devices even when their own parents restrict it.

This is why the government is now considering an Australian‑style ban on social media for under‑16s. Supporters argue that the risks have moved beyond bullying and mental health. They now include real‑world harm to others, including family pets. Critics say a ban is heavy‑handed, but cases like this make it harder to dismiss the problem as mere “online mischief”.

For pet owners, the message is simple: the digital environment your child enters is not neutral. It can teach kindness, but it can also teach cruelty. And when a child imitates what they see on a screen, the consequences can be devastating for the animals we love.

My personal feelings: ban bloody crappy social media. It really is time for a courageous step and it would rein in the effing mega social media companies who feel immune from sanctions. They have too much free rein and they jerk us around. I dislike them. And that includes Google and for example Facebook. Google owns YouTube which is now saturated with AI generated fake videos. Note: some AI videos are good if not great but there are too many fake animal rescues and fake animal love stories for instance.

Note: this article bar the last para was written by AI on my instructions after a discussion. Why? Speed. I need speed because thanks to effing AI visitor numbers have crashed for all content sites.

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