riddhi

my thoughts on future tech | views are my own, likes/rts =/ endorsement

[riddhi @ridtalkstech]

patiently waiting for synthetic biology's big break

[riddhi @ridtalkstech]

just the start of chain of events that show biotech is the next frontier of technology.

as steve jobs said, the 21st century will be about biology, and its happening right in front of our eyes.

[The New York Times @nytimes]

Breaking News: A baby with a rare disorder made medical history by receiving the first custom gene-editing treatment. The technique used has the potential to help people with thousands of other uncommon genetic diseases. https://t.co/6RB5ttiKmX

[vitrupo @vitrupo]

Gill Verdon says the next frontier is viewing our biology as Software 2.0.

Genes are parameters. Peptides are prompts.

Biology is a substrate, and it could evolve as fast as silicon, if we let it.

In his view, acceleration isn't optional -- it’s survival.

[rohit @krishnanrohit]

this is one way you know lab grown meat is getting really good

[Icona @iconawrites]

STEM and the arts are so often pitted against each other nowadays. It would seem nonsensical to Leonardo da Vinci, who was both an artist and an engineer. We need science to improve life, and art to give meaning to it. It’s a partnership, not a war.

[Sheel Mohnot @pitdesi]

Love Buffett’s response to “when did you know you were rich?”

Particularly the highlighted part.

[Caleb Watney @calebwatney]

Great conversation b/t @dwarkesh_sp, @tamaybes, and @EgeErdil2 on the importance of complementary innovation + infrastructure for understanding how science/tech grows

[Seth Bannon @sethbannon]

1/ From pacemakers to defibrillators to protease inhibitors to vaccines to clinical MRIs, the public has gotten enormous benefit from federally funded research at Harvard. Just a sampling…

[Michi @NekoMichiUBC]

For the record, I'm not completely against AI - I think it has massive potential in scientific research. We've already been using it here for protein structure and genomic analysis and it's been a powerful tool.

[Noah Smith 🐇🇺🇸🇺🇦🇹🇼 @Noahpinion]

Black Mirror is still great, but it does feel a bit odd to be watching dystopian stories about SaaS subscription models while there's an actual classic authoritarian dystopia unfolding in real life...

[Sayash Kapoor @sayashk]

@random_walker Analysis of AI often contrasts "AI as impending superintelligence" with "AI as a fad that will soon end". In the paper, we spell out a third alternative: AI as a general-purpose technology that will follow well-worn patterns of innovation and diffusion.

[riddhi @ridtalkstech]

what is the future of BCI? How will it change communication? Will it transcend speaking and language?

[Asimov Press @AsimovPress]

Progress in biology is too slow. Even simple experiments often take several days of work to complete.

Software, by contrast, compiles in seconds. It's what makes programming "flow-inducing."

We need faster feedback loops in biology. Our latest article explains where to start🔻

[Demis Hassabis @demishassabis]

In the future soon, we will be able to communicate with many intelligent animal species - can't wait to better understand what my dog🐶is saying! Congrats to the DolphinGemma team building on our Gemma models - the most powerful single GPU/TPU open source models out there!

[Rebecca Valentine @defnotbeka]

been saying this for a while. we're in the collapse era

[Colossal Biosciences® @colossal]

Meet Romulus and Remus—the first animals ever resurrected from extinction. The dire wolf, lost to history over 10,000 years ago, has returned. Reborn on October 1, 2024, these remarkable pups were brought back to life using ancient DNA extracted from fossilized remains.

Watch the pups grow up and catch exclusive videos on our YouTube channel. https://t.co/dmlOYtkZ4R

[François Chollet @fchollet]

You can improve your ability to anticipate a highly uncertain future by focusing not on outcomes, but on rules. Instead of asking, "in similar situations in the past, what was the outcome?" you can ask, "in similar situations in the past, what rules have held true? what would we get by applying these rules in the current situation?"

This is fundamentally the reason why program synthesis generalizes better than parametric ML.

Note: wrt recent events. Some rules that have consistently held true in the new order have been "there are no more guard rails" and "it will be worse than you think"

[riddhi @ridtalkstech]

ive been reading alot more on brain computer interfaces, uses and our future with them.

curious to hear from neuroscientists, is it true that BCI will replace speaking/language completely or will it provide an alternate mode to communicate and humans will still speak?

[Allie K. Miller @alliekmiller]

I did it. It took a lot of miles, countless conversations, and a deep belief in the power of unleashing AI.

From Santiago to Okavango Delta to Melbourne to Amsterdam to Seoul to Mexico City to Antarctica, we explored the possibilities of AI together. Will share more insights. But I'm happy to be one of the first people in the world to teach AI on all 7 continents 🌏

The journey was global, but the mission stays the same: getting 1B people and businesses to thrive in the AI age.

[François Chollet @fchollet]

Classical art was far weirder than we imagine. Our modern view is filtered through the lens of the aesthetic ideals of the Renaissance, which sanitized much of its original spirit.

[Arvind Narayanan @random_walker]

This fallacy explains so much AI hype. The barriers to doing real-world tasks efficiently are rarely computational — they are usually physical, economic, social and political. So you could make the computational part 10x faster yet make the overall system only 1% more efficient.