Erick Heredia 👨🏾‍💻📠 🚀

Amando a Dios sobre todo | Software Engineer first, Machine Learning Engineer, also first | Polyglot: 🇩🇴 🇺🇸 🇧🇷 🇫🇷 con pizca de 🇮🇹

[Scott Adams @ScottAdamsSays]

A Final Message From Scott Adams

[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.

[Z Fellows @zfellows]

Jeff Bezos: "If you're competitor-focused, you have to wait until there is a competitor doing something. Being customer-focused allows you to be more pioneering.”

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

@FoxNews As a father, this hurt my soul on a deep level.

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

@Josueceballo @charliekirk11 Que Dios tenga misericordia de EE.UU.

[Alex Hormozi @AlexHormozi]

Hard times don’t last forever.

There are only three outcomes:
– You quit
– It gets easier
– Or you get better

But no matter what, they end.

[Sola Media @solamediaorg]

Is the Divinity of Christ and the Trinity taught in Scripture? @WesleyLHuff answers.

[Pedro Domingos @pmddomingos]

ARC-AGI is not AGI.

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

@BillAckman Sublime.

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

@technology It's too expensive rn. Let's see what the competition will do now.

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

@DorianDevelops @venturetwins I stopped working to check if this was true and indeed it is 😀. Who's going down the rabbit hole?

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

@twostraws Best go-to platform if you want to learn swift. Thanks for your hard work 💪

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

@RayFernando1337 You got me 😂. I was about to create the next Amazon, but only for cross-border users.

[Pedro Domingos @pmddomingos]

TL;DR: Deep networks and XGBoost are both kernel machines, just with different kernels - and XGBoost’s is more robust.

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

Well... Jake didn't want to knock him out of respect.

#TysonPaul

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

I think Mike's strategy is to give it all in the last round.

#TysonPaul

[Erick Heredia 👨🏾‍💻📠 🚀 @ELHE26]

Will the Amish really deliver Pennsylvania?!! Virginia is tight rn.

[Pedro Domingos @pmddomingos]

The problem with self-driving cars is that there's a corner case around every corner.

[Israel ישראל @Israel]

Israelis are marking one year since the largest massacre of Jews in a single day since the Holocaust, as Hezbollah relentlessly fires rockets at northern communities.

One year later, we mourn and grieve for the loss of our loved ones, but our resolve has only grown stronger.

They will never break us.

#RememberOctober7

[AI at Meta @AIatMeta]

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date.

Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike.

More details and examples of what Movie Gen can do ➡️ https://t.co/M19x2ndwnr

🛠️ Movie Gen models and capabilities
Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt.

Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment.

Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes.

Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video.

We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.