PeterC

[Pedro Serôdio @pdmsero]

Is AI killing jobs?

New data shows that, more than three years after the release of ChatGPT, there is no evidence for a significant impact of AI on overall employment in the UK.

In our new report, we break down the labour force into different occupations and use four measures of AI exposure to determine how likely they are to be affected by the technology.

Surprisingly, occupations with higher exposure to AI have grown faster than least-exposed ones, not slower. This holds across all four measures, and across two different data sources.

The wage picture is different. Pay in AI-exposed occupations has lagged the rest of the labour market since 2019.

But that gap opened three years before ChatGPT, which makes AI an unlikely candidate for the observed wage compression.

This flattening of the wage structure is visible across the within-occupation distribution and strongest at the top quartile, which is consistent with labour market dynamics that predate generative AI.

[PeterC @peterc1500]

@HeyGen Timeline

[HeyGen @HeyGen]

You can now edit HyperFrames’ Timeline directly!

Drag in preview → video updates

When Claude Code struggles with timing, you can give it a hand

Experimental, open sourced in @hyperframes/player

$ npx hyperframes upgrade

RT + Comment "Timeline" for source code (must follow)

[PeterC @peterc1500]

@HeyGen HyperFrames

[HeyGen @HeyGen]

We built our launch video in Claude Code using HyperFrames.

Now it's yours.

Open source, agent-native framework. HTML to MP4.

$ npx skills add heygen-com/hyperframes

RT + Comment "HyperFrames" to get the full source code of this launch video (must follow)

[Josh Wood @J_K_Wood]

“Children don’t make you happy”
- The Daily Mail

I'm no researcher, but I downloaded the dataset and looked for myself.

The study's numbers say the EXACT OPPOSITE of the headline 👇🏻

[PeterC @peterc1500]

@Dan_Jeffries1 That’s for developers and technical jobs. How about accountants, administratives, marketeers, PMs, etc?

[PeterC @peterc1500]

@MiguelMaestroIA This is false. This game was not created with GPT-5.4

[PeterC @peterc1500]

@JeremyNguyenPhD @emollick Interesting how Gemini is the only model that goes beyond “mother” to say “or second parent”.

[PeterC @peterc1500]

IMO there are strong indicators that 2026 will be a good year for AI wearables. There's a convergence of factors that make this scenario more plausible.

This thread gives a glimpse of why and what it can be

[Cherry Picker @cherrypickertec]

2026 will be the year AI stops living in your pocket.

It will live on your face. On your wrist. On your chest.

For a decade, we tried to put computers on our bodies and failed. 2026 might finally be different.

Here's why it could actually stick this time. 🧵

[Cherry Picker @cherrypickertec]

2026 will be the year AI stops living in your pocket.

It will live on your face. On your wrist. On your chest.

For a decade, we tried to put computers on our bodies and failed. 2026 might finally be different.

Here's why it could actually stick this time. 🧵

[miss information @intelligentpawg]

i’ve worked in applied AI and i’ve worked white collar roles in tech and other industries, and i’m telling you the constant “AI is taking everyone’s job” doomposting doesn’t reflect reality

yes, the smartest people you work with are using AI to automate parts of their workflow, but most companies and industries are largely untouched. even among the ones actively pursuing AI, a large share (~95% per MIT study) of pilots never reach full implementation. they stall in approvals, integration, risk reviews, legal, audits, and change management. all of that, coupled with the hard to ignore truth that most normies outside of tech still don’t trust or really even like AI, moves far slower than model capability, especially at scale across industries.

tech felt the shock first because that’s the environment these models naturally operate in. everywhere else you hit messy edge cases, outdated infrastructure, fragmented systems, and human approval as a blocker. the more realistic near term outcome is task compression, higher output expectations, and fewer entry-level openings.

also, this article is a thinly veiled ad. if you can read it and spot which parts were written by an LLM, you’re probably doing just fine

[Cherry Picker @cherrypickertec]

Portugal launches its National Artificial Intelligence Agenda (ANIA) for 2026-2030 with 32 measures and over €400M investment to build an ethical, competitive AI ecosystem that boosts productivity, public services, and quality of life across sectors.

[PeterC @peterc1500]

@SomaKazima2 He will never be an electrician, that’s for sure

[PeterC @peterc1500]

@visegrad24 Well, making a “breaking” without the source is almost like gossip:

https://t.co/No2P7Fvq1T

[PeterC @peterc1500]

@pontusab How do you make the 70% quality check?

[Peter Girnus 🦅 @gothburz]

Last quarter I announced a milestone.

30% of our code is now written by AI.

I called it "engineering velocity."

The board loved that phrase.

They didn't ask what the code does.

Neither did we.

It compiles. Usually.

That's the metric.

Someone asked about testing.

I said "AI-assisted quality assurance."

That means the AI writes the tests too.

For the code it wrote.

It finds no issues.

Very efficient.

This week we admitted Windows 11 core features are broken.

Audio doesn't work.

Explorer crashes.

Updates fail to install.

Users asked why.

I said "we're investigating."

Investigating means reading the code.

The code the AI wrote.

That no human understands.

Because understanding isn't scalable.

Our CTO says 95% of code will be AI-generated by 2030.

I believe him.

I have to.

We fired the people who would check.

They were "non-essential headcount."

Essential means writes code.

AI writes code.

Humans are overhead.

Overhead gets optimized.

We optimized 10,000 engineers last year.

This year the bugs arrived.

Unrelated, obviously.

The engineers we kept are debugging AI output.

They don't understand it either.

But they're "cross-functional."

Cross-functional means they do everything.

Everything means nothing well.

A user asked why their audio disappeared after an update.

I said "install updated drivers."

They asked why the update broke the drivers.

I said "report it via Feedback Hub."

They asked what happens to feedback.

I said "it helps us prioritize."

Prioritize means add to backlog.

Backlog means never.

But politely.

Someone on Hacker News called this "a privacy and consent disaster."

I called it "an evolving user experience."

Same thing. Different framing.

We released a fix.

The fix broke something else.

The something else was also written by AI.

The fix was also written by AI.

They're collaborating now.

I call it "autonomous iteration."

The autonomous iteration has created 47 new bugs.

Each bug spawns a fix.

Each fix spawns two bugs.

Exponential growth.

Just like our stock price.

Unrelated, obviously.

Satya told Mark we're at 30%.

Mark said he didn't know Meta's number.

Sundar said Google is also at 30%.

None of us know what the code does.

But we know the percentage.

Percentage is a metric.

Metrics go in earnings calls.

Earnings calls move stock prices.

Stock prices determine bonuses.

Bonuses determine success.

Success means the bugs don't matter.

Users asked when Windows will work again.

I said "we're committed to quality."

Quality means it ships.

Ships means it's your problem now.

Thank you for being part of the Microsoft family.

Family means you can't leave.

We're in your enterprise agreement.

For three more years.

The circle of innovation.

[PeterC @peterc1500]

@OpenAI, ChatGPT user here (and a happy one). But.. 'Reference chat history' is one of the most annoying features you've ever included. It can't distinguish when to use a previous reference and when not to.

Persistent Memory is another thing. Great work there, IMO

[Soren Larson @hypersoren]

when lawyers with no technical training ask Gemini 3 to replicate expensive SaaS so they can stop paying for marked up intelligence

This is the squeeze microeconomics predicts

[PeterC @peterc1500]

@paulisci @paulisci any updates on this? I was excited enough to pre order the book 2 years ago. If not the book, what plans are there to refund buyers?