They forgot to remove a line of code during build that completely exposed a js file with all of the source code in it. This makes the time I accidently brought down a production database look like nothing. 380 billion company, who preache closed source and security 'for the better of humanity'
Yikes, Claude's source code was leaked in it's entireity. Pretty interesting to see how much of it is hard-coded, and how much effort they put in to make it "behave". www.youtube.com/watch?v=mBHR...
Her swimming teacher is an Olympic gold medalist, and he's really pushing them. She is absolutely thriving, and I couldn't be prouder.
My daughter just got her 800m swimming badge. Literally blows my mind that she can swim 32 lengths of a swimming pool. I got my 200m when I was like 14. She's only 8!
To be fair, I don't know what I was expexting, but it just felt like someone confirmed my suspicions and then left me to it. The only thing they did advise me to do was to apply for PIP, which I neither needed or wanted. It almost felt like that's what they thought I was getting assessed for.
Exactly! When I was diagnosed with Autism, they pretty much just sent me on my way. No help, no guidance. Spiralled into a weird grief-stricken depression and had to find my own way to proper help.
The WebAIM Million 2026 report is out, it reports on overall accessibility across the web:
1. The number of failures increased 10.1% YOY
2. The average number of page elements increased 22.5%YOY
Meaning accessibility progress is backsliding. Personally, I am quite certain this is related to AI.
On mental health, the report highlights that the prevalence of common mental health conditions has risen from 15-16 per cent in the early 1990s to around 23 per cent in the mid-2020s, with the clearest increases in young adults. Wonder how much of this is due to our phone habits?
This is absolutely wild, btw. If wait lists were bad then, I can't imagine how bad they are now!
cc @himal.bsky.social - the ADHD stuff will be of particular interest.
There is also evidence of significant variation across England in the proportion of people referred for an autism assessment who then receive a diagnosis.
As with ADHD, there may be important demographic differences between recorded diagnosis and expected prevalence, particularly among adults, and this requires further exploration. Findings on deprivation differ depending on the source of data.
Between 2000 and 2018, incidence in males rose from 20 to 111 per 100,000, while incidence in females rose from 4 to 40 per 100,000.
In English primary care records, the annual incidence of autism diagnosis increased from 12 per 100,000 in 2000 to 80 per 100,000 in 2017, before falling slightly to 77 per 100,000 in 2018. Incidence remained consistently higher in males than females throughout this period.
Primary care data show rising numbers of autism diagnoses over time, with especially rapid growth among females and young people without learning disability, even though absolute diagnosis rates remain higher in males.
Based on the Adult Psychiatric Morbidity Survey, prevalence of autism in adults has remained broadly stable at around one in a hundred across 2007, 2014 and 2023–24, with estimates of 1.0%, 0.7% and 0.9% respectively.
That increase has been particularly marked in the education system. By 2025, autismrelated identified need accounted for around 3.1% of school-age children within the SEND system and growth has been especially rapid among girls and pupils without learning disability, indicating changing patterns.
In the available survey data, parent-reported prevalence rose by around 25% between 2022 and 2024, suggesting that public recognition and identification of autism are increasing.
For children, population-based estimates of autism remain broadly stable. At the same time, parent-reported autism — where parents report that their child has autism, whether or not this is based on a formal diagnostic assessment — has increased in recent years.
This does not imply that one set of trends is “real” and the other is not. As with ADHD, the evidence points to a more complex picture in which relatively stable underlying prevalence can coexist with sharply rising diagnosis, identification and service demand.
Self-identification and diagnoses within health and education systems have increased substantially, while underlying prevalence based on population surveys appears more stable over time. It is important, however, to acknowledge that diagnostic criteria have also changed over time.
On Autism. The evidence on autism shows a pattern that is similar to ADHD in some respects, although there are important differences.
This includes ensuring timely access to specialist assessment and treatment for those with the greatest needs, while also enabling earlier, more accessible forms of support that do not depend on prolonged waits for formal diagnosis.
The objective is to move towards a more equitable and proportionate system in which treatment and support are tailored to levels of need, functional impact and severity.
A key limitation at present is the lack of reliable data on severity, functional impact and outcomes among those diagnosed. Without this, it is not yet possible to determine whether diagnostic thresholds have changed significantly over time.
Among children and young people, the proportion of diagnoses followed by medication prescribing has roughly halved in the post-pandemic period, suggesting a shift in case mix or wider contextual changes that require further investigation.
There is substantial pressure on services providing ADHD assessment. The next phase of the Review will examine more closely the quality and consistency of assessments, variation in diagnostic practice, and the extent to which diagnosis is followed by evidence-based treatment.
Despite growth in diagnosis, there may be a gap in some demographic groups between recorded and expected prevalence, particularly among adults. Suggesting that some people who may benefit from diagnosis are still not being identified, i.e. those in settings such as the criminal justice system.
This does not imply that one set of trends is “real” and the other is not. The evidence points to a more complex picture in which relatively stable underlying prevalence can coexist with rapidly rising diagnosis, referral and service demand.
NICE, for example, cites prevalence estimates of around 5% in children and young people and 2–3% in adults, with no evidence of a dramatic population-level increase over recent decades.