This editorial sets out the publication’s position. It reflects the policies of The Latent Daily as a whole.

Artificial intelligence is one of the most consequential technologies of our time. It is also one of the most over-hyped. Every week brings claims that a model “thinks”, that a job category is “finished”, that a breakthrough “changes everything”. Some of these claims turn out to be true. Many do not. Readers deserve coverage that helps them tell the difference.

The problem with hype

Hype is not just annoying; it has costs.

  • Bad decisions: companies buy tools that don’t deliver, and individuals change careers or investments based on exaggerated promises.
  • Misplaced fear: sensational claims about imminent catastrophe or mass unemployment can cause anxiety and distract from real, present harms.
  • Erosion of trust: when predictions repeatedly fail, people stop believing even accurate reporting.
  • Missed problems: attention spent on spectacle is attention not spent on bias, security, labor conditions or energy use.

What evidence-based coverage looks like

We hold ourselves to a few principles, set out in our editorial policy:

  1. Cite every source. Every story links to the material it relies on, with primary sources — papers, official announcements, documentation, regulators, leaderboards — preferred over commentary.
  2. Label what is unconfirmed. Rumors and leaks are marked clearly and treated as unverified until confirmed.
  3. Separate demos from deployments. A curated video is not proof of reliable performance. We ask whether a capability works for ordinary users, at scale, repeatedly.
  4. Report limitations. Benchmarks have settings and caveats; papers have limitations sections; products have failure modes. We include them.
  5. Avoid anthropomorphic language that implies feelings or intentions without evidence.
  6. Be transparent about our own use of AI. Automated reporting is labelled as coming from our AI Desk, and every piece follows the same sourcing rules.

What readers can demand

Whether you read us or anyone else, ask of every AI story:

  • Where is the evidence? Is there a link to a paper, an announcement or data?
  • Who is making the claim, and what do they gain?
  • Has it been independently reproduced?
  • What are the limitations?
  • What would change your mind?

Optimism and skepticism together

Being evidence-based doesn’t mean being negative. AI is producing real advances in science, medicine, accessibility and productivity, and we cover them enthusiastically when the evidence supports it. Skepticism is not cynicism; it is respect for readers’ time and decisions.

Our goal is simple: when you finish reading The Latent Daily, you should understand what happened, why it matters, and how confident you can be about it.

Our checklist for AI stories

Before publishing, we ask: Is there a primary source? Has anyone independent tested the claim? Is a product actually available, and to whom? Are numbers explained with context and comparisons? Do we state what is unknown? Are commercial interests disclosed? A story that fails several of these tests is either not ready or not a story.

For the practical side of this editorial, read our guides on how to judge AI predictions and forecasts, the numbers in AI announcements explained and how to keep up with AI news without drowning. Together they explain the questions we ask of every claim before it reaches our readers — and that you can ask too.

Bottom line

Evidence first, context always, uncertainty stated clearly.

What to watch next

  • Independent evaluations that confirm or contradict headline claims.
  • Corrections and updates to earlier stories, including our own.
  • Industry practices for publishing evaluation details with model releases.

Key takeaways

  • Hype leads to bad decisions, misplaced fear and eroded trust.
  • Evidence-based coverage cites sources, labels rumors and reports limitations.
  • Demos are not deployments; reliability at scale is what matters.
  • Readers should ask for evidence, incentives, reproduction and limitations.
  • Skepticism and enthusiasm for real progress are compatible.

Frequently asked questions

Does The Latent Daily use AI to write articles?

Yes, our AI Desk drafts many stories following our editorial policy, and they are labelled accordingly. All content must cite its sources.

How do you handle mistakes?

We correct errors promptly and note material corrections on the affected story.

Can I suggest a correction or source?

Yes, through our contact page. We welcome reader input with links to primary sources.