Pedro

[Pedro @Pxoza]

Todavia, é fodido.

[Bogáta Timár @BogataTimar]

okay I guess I have to talk about Péter Magyar here.
Let me just start with saying, in a very unladylike way, that you guys seem to have zero clue what happened in Hungary in the last two years, you completely miss the point, and you're a disappointing bunch.
Let's go.

[Lord Immy Kant @KantInEastt]

The entire US economy right now is 7 companies sending a billion fake dollars back and forth to each other

[Alex Veremeyenko @alex_verem]

This paper from Harvard and MIT quietly answers the most important AI question nobody benchmarks properly:

Can LLMs actually discover science, or are they just good at talking about it?

The paper is called “Evaluating Large Language Models in Scientific Discovery”, and instead of asking models trivia questions, it tests something much harder:

Can models form hypotheses, design experiments, interpret results, and update beliefs like real scientists?

Here’s what the authors did differently 👇

• They evaluate LLMs across the full discovery loop hypothesis → experiment → observation → revision
• Tasks span biology, chemistry, and physics, not toy puzzles
• Models must work with incomplete data, noisy results, and false leads
• Success is measured by scientific progress, not fluency or confidence

What they found is sobering.

LLMs are decent at suggesting hypotheses, but brittle at everything that follows.

✓ They overfit to surface patterns
✓ They struggle to abandon bad hypotheses even when evidence contradicts them
✓ They confuse correlation for causation
✓ They hallucinate explanations when experiments fail
✓ They optimize for plausibility, not truth

Most striking result:

`High benchmark scores do not correlate with scientific discovery ability.`

Some top models that dominate standard reasoning tests completely fail when forced to run iterative experiments and update theories.

Why this matters:

Real science is not one-shot reasoning.

It’s feedback, failure, revision, and restraint.

LLMs today:

• Talk like scientists
• Write like scientists
• But don’t think like scientists yet

The paper’s core takeaway:

Scientific intelligence is not language intelligence.

It requires memory, hypothesis tracking, causal reasoning, and the ability to say “I was wrong.”

Until models can reliably do that, claims about “AI scientists” are mostly premature.

This paper doesn’t hype AI. It defines the gap we still need to close.

And that’s exactly why it’s important.

[one dozen rats at a keyboard @PanasonicDX4500]

we’re finally about to have an answer to “are portuguese people white”

[Peter Girnus 🦅 @gothburz]

Last quarter I rolled out Microsoft Copilot to 4,000 employees.

$30 per seat per month.

$1.4 million annually.

I called it "digital transformation."

The board loved that phrase.

They approved it in eleven minutes.

No one asked what it would actually do.

Including me.

I told everyone it would "10x productivity."

That's not a real number.

But it sounds like one.

HR asked how we'd measure the 10x.

I said we'd "leverage analytics dashboards."

They stopped asking.

Three months later I checked the usage reports.

47 people had opened it.

12 had used it more than once.

One of them was me.

I used it to summarize an email I could have read in 30 seconds.

It took 45 seconds.

Plus the time it took to fix the hallucinations.

But I called it a "pilot success."

Success means the pilot didn't visibly fail.

The CFO asked about ROI.

I showed him a graph.

The graph went up and to the right.

It measured "AI enablement."

I made that metric up.

He nodded approvingly.

We're "AI-enabled" now.

I don't know what that means.

But it's in our investor deck.

A senior developer asked why we didn't use Claude or ChatGPT.

I said we needed "enterprise-grade security."

He asked what that meant.

I said "compliance."

He asked which compliance.

I said "all of them."

He looked skeptical.

I scheduled him for a "career development conversation."

He stopped asking questions.

Microsoft sent a case study team.

They wanted to feature us as a success story.

I told them we "saved 40,000 hours."

I calculated that number by multiplying employees by a number I made up.

They didn't verify it.

They never do.

Now we're on Microsoft's website.

"Global enterprise achieves 40,000 hours of productivity gains with Copilot."

The CEO shared it on LinkedIn.

He got 3,000 likes.

He's never used Copilot.

None of the executives have.

We have an exemption.

"Strategic focus requires minimal digital distraction."

I wrote that policy.

The licenses renew next month.

I'm requesting an expansion.

5,000 more seats.

We haven't used the first 4,000.

But this time we'll "drive adoption."

Adoption means mandatory training.

Training means a 45-minute webinar no one watches.

But completion will be tracked.

Completion is a metric.

Metrics go in dashboards.

Dashboards go in board presentations.

Board presentations get me promoted.

I'll be SVP by Q3.

I still don't know what Copilot does.

But I know what it's for.

It's for showing we're "investing in AI."

Investment means spending.

Spending means commitment.

Commitment means we're serious about the future.

The future is whatever I say it is.

As long as the graph goes up and to the right.

[Pedro Magalhães @PCMagalhaes]

O Sapo Cocas.

[Nat Purser @NatPurser]

a muslim man becoming mayor of ny on the day dick cheney dies. what a world.

[Andy Boenau @Boenau]

"Humans aren’t very efficient movers—until you put us on a bicycle, when we become some of the most energy-efficient land travelers in the animal kingdom."

[Alec Stapp @AlecStapp]

The default state of nature is poverty, and we've been clawing our way out of it for the last 200 years

[Aashima Arora @asharoraa]

My intern was born in 2007

I have unread emails older than that

[SubwayTakes with Kareem Rahma @SubwayTakes]

There is no such thing as your favorite Beatle!! Feat @ethanhawke

[josh (oldfriend99) @oldfriend99]

Fortunately there's only 3 more years of rapidly escalating fascism before there's a peaceful exchange of power

[Sérgio Sousa Pinto @ssp6]

Quem me dera saber usar isto. Sei lá p onde vão os meus tuítes. Ainda aleijo alguém

[Trompas de Falópio @Macaco_Precoce]

POV: Lidl e o Aldi no que toca a terem a melhor secção de padaria

[MatLab crashes @memecrashes]

nobody:
electrons at @CERN:
https://t.co/8P4hLOxnd4

[Gaspar Macedo @123Gasp]

Montenegro é oficialmente primeiro-ministro há três dias. Isto parece uma piada mas não é.

[Carlos Guimarães Pinto @cgpliberal]

PS acha inconcebível orçamento de estado que elaborou sozinho, aprovou com maioria absoluta e que está em vigor há menos de 3 meses. Estas coisas não se inventam.

[Brian Albrecht @BrianCAlbrecht]

“Blaming inflation on greed is like blaming a plane crash on gravity.”