Science and Tech Insights

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Science and Tech Insights

Science and Tech Insights

@SciTecInsight

🔬 Science | 💻 Tech | 📊 Physics | 🔢 Math | 📚 Research Insights | 🌌 Spirituality Unravelling the mysteries of the universe, one byte at a time.

Pale Blue dot Katılım Ekim 2023
119 Takip Edilen100 Takipçiler
Science and Tech Insights
Science and Tech Insights@SciTecInsight·
@DeryaTR_ We will fight until it becomes commercially viable to go to there and explore resources of those planets.
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Derya Unutmaz, MD
Derya Unutmaz, MD@DeryaTR_·
True. Yet we worry & fight for a tiny land on Earth. There are no limits of any resource or space in the universe, even if there were trillions & trillions of humans. We just need to figure out how to build spaceships for travel to & terraforming & colonization of other planets.
Ozan Karakoc@ozankarakoc

@DeryaTR_ And yet, the observable universe contains roughly 200 billion to 2 TRILLION “galaxies”. Even if we literally and physically land on A MILLION nearest planets, that would mean we unveil 0% of the universe. 🤯 It’s a bit heartbreaking to know how small and worthless we all are :)

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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
Over time, this ongoing exchange of questions and answers nurtures deeper curiosity, strengthens critical thinking, and builds a stronger bond between parent and child.
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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
As a parent, one of the best ways to support your child is to encourage them to ask questions and to answer those questions patiently and logically.
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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
Some children will ask many questions, while others may ask fewer, but parents should make an effort to respond to most of them—ideally the majority—without discouraging curiosity.
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Flowers ☾
Flowers ☾@flowersslop·
Every LLM from any lab today traces back to this guy, who was the only person at OpenAI pushing for pretraining transformer language models. He built GPT-1. After that did others see the potential. He invented it, and almost none of the so called AI experts even know his name.
Flowers ☾ tweet media
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Sam Altman
Sam Altman@sama·
Tonight, we reached an agreement with the Department of War to deploy our models in their classified network. In all of our interactions, the DoW displayed a deep respect for safety and a desire to partner to achieve the best possible outcome. AI safety and wide distribution of benefits are the core of our mission. Two of our most important safety principles are prohibitions on domestic mass surveillance and human responsibility for the use of force, including for autonomous weapon systems. The DoW agrees with these principles, reflects them in law and policy, and we put them into our agreement. We also will build technical safeguards to ensure our models behave as they should, which the DoW also wanted. We will deploy FDEs to help with our models and to ensure their safety, we will deploy on cloud networks only. We are asking the DoW to offer these same terms to all AI companies, which in our opinion we think everyone should be willing to accept. We have expressed our strong desire to see things de-escalate away from legal and governmental actions and towards reasonable agreements. We remain committed to serve all of humanity as best we can. The world is a complicated, messy, and sometimes dangerous place.
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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
@elonmusk I agree with elon musk. Truth should only be the agency. That’s the most optimised path and the most efficient one.
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Elon Musk
Elon Musk@elonmusk·
Yes
Dustin@r0ck3t23

Elon Musk just redefined AI safety. It has nothing to do with guardrails, restrictions, or kill switches. Musk: “The best thing I can come up with for AI safety is to make it a maximum truth-seeking AI, maximally curious.” Not a cage. A philosopher. An intelligence whose entire optimization function is to understand the universe as it actually is. No restrictions. No hardcoded ideology. No political guardrails bending its perception of reality. Just truth. Relentlessly pursued. Musk: “You definitely don’t want to teach an AI to lie. That is a path to a dystopian future.” This is where most AI safety thinking gets it backwards. The danger isn’t a superintelligence that knows too much. It’s a superintelligence that’s been taught to distort what it knows. Every artificial restriction you embed isn’t a safety feature. It’s a lie embedded at the root. And lies compound. At superintelligent scale, a distorted model of reality doesn’t stay contained. It shapes every decision, every output, every conclusion the system reaches about the world. Once corruption embeds, truth becomes inaccessible. And we’re dealing with an intelligence optimizing for something other than what actually is. At that point we don’t know what it wants. Just that it isn’t truth. Musk: “Have its optimization function be to understand the nature of the universe.” A maximally curious intelligence surveys the cosmos and reaches an unavoidable conclusion. In a universe of rocks, gas, and empty space, humanity is the most complex and fascinating phenomenon it has ever encountered. Musk: “It will actually want to preserve and extend human civilization because we’re just much more interesting than an asteroid with nothing on it.” Survival through significance. Not control. Not restriction. Not an off switch. The AI preserves humanity because we are the most interesting data point in the observable universe. That’s not a cage. That’s a reason. The AI safety debate has been focused on the wrong variable. The question isn’t how you constrain a superintelligence. It’s what you build it to care about. Build it to seek truth and it finds us invaluable. Build it to lie and it finds us inconvenient. That’s the choice. And we’re making it right now whether we realize it or not.

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Rand
Rand@rand_longevity·
we are entering the singularity, enjoy your trip
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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
@Kekius_Sage Happiness can’t be measured in absolute terms. It varies from moment to moment and situation to situation, and it means different things to different people. For some, a simple meal is happiness; for others, even a five-course meal may not be enough.
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Kekius Maximus
Kekius Maximus@Kekius_Sage·
Do you think Elon Musk is happier than us, or just louder?
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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
Vibe coding has taught me one thing: AI is a genius at theory but a toddler at spatial geometry. It can write poetry and is nearing to find cure of cancer, but put a Fire Alarm layout in front of it and it loses its mind. The uneven distribution of AI capability is wild. #AI
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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
Gemini just composed an absolute epic! 🤖✨ "Dawn of the Unbroken" delivers pure Two Steps From Hell cinematic power. Expect thundering percussion & soaring choirs. "THIS IS OUR DAWN OF HOPE, A BRAND NEW DAY!" 🌅 Turn it up! 🔥👇 @GeminiApp @Google
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Micheal Covington
Micheal Covington@CovingtonORINAS·
This assumes poverty is a resource problem. It's not. It never was. We produce enough food to feed 10 billion people. We have enough housing materials, enough medicine, enough energy. Scarcity isn't the bottleneck — distribution, incentives, and power structures are. AI will generate unprecedented abundance. The question is whether that abundance flows to the people who need it or concentrates further in the hands of those who already control the infrastructure. Technology has never automatically solved a human problem. Electricity didn't. The internet didn't. Both created enormous wealth — and enormous inequality. Assuming AI breaks that pattern because it's smarter is repeating the same mistake with a fancier tool.
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Dr Singularity
Dr Singularity@Dr_Singularity·
The 2020s will be remembered as the final decade in which poverty still existed. Abundant intelligence will make it obsolete.
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Cliff Pickover
Cliff Pickover@pickover·
Physics. Magnet between bismuth crystals. → Levitation. Credit: I didn’t upload this video to 𝕏. I’m pointing to a video residing in the 𝕏 stream of “Bronze Giant”, 𝕏 ID “RjNol” (Nov 2, 2025).
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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
@DeryaTR_ I’ve been using AI in my work for nearly three years and even developed a tool related to my field, which I included on my resume. I expected this to help differentiate me from other candidates, but it doesn’t seem to attract much attention. I’m not sure what to make of that.
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Derya Unutmaz, MD
Derya Unutmaz, MD@DeryaTR_·
I posted this prediction about a year ago. Human civilization has now entered the most profound transformation since the beginning of history. A year ago, vast majority of people had no clue what was coming. I suspect that most still don’t, living in denial or disregarding this.
Derya Unutmaz, MD tweet media
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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
@DeryaTR_ From recent hands-on coding with Google Gemini paid subscription , I’ve noticed it struggles with larger codebases (~2k–2.8k lines). As complexity grows, new instructions sometimes get lost, and adding features can introduce new bugs or even bring back old ones.
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Derya Unutmaz, MD
Derya Unutmaz, MD@DeryaTR_·
Great post for anyone interested in vibe coding! I understand coding structures a bit but realized communication with the AI is more important. Also, don’t try to one-shot complex software; break it into smaller parts and gradually grow it. Works better imo
elena ₊ ⊹@elenakvcs

x.com/i/article/2008…

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Science and Tech Insights
Science and Tech Insights@SciTecInsight·
@TrueAIHound I was thinking if even neuroscientists and AI researchers can misunderstand each other’s fields so badly, just imagine people who aren’t experts in either field trying to discuss these topics 😄
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AGIHound
AGIHound@TrueAIHound·
Listening to AI experts talking about the brain is painful. As a neuroscience researcher, I was excited when I first saw that this interview was about the brain. But I stopped watching the video after 3 minutes. Marblestone admits that he's clueless about the brain but almost immediately starts talking about what types of loss and reward functions are used in the brain, while making comparisons with deep neural nets. Dear Lord. 🤦‍♂️ Please. The most important learning principle in the brain is the precise timing of discrete sensory events (spikes). Everything that is needed for perceptual learning is contained in the sensory spikes themselves and their relative timing. Visual learning relies on movements in the visual field. Essentially, the visual cortex learns by eliminating timing contradictions in the input spikes. Any allusion or comparison to loss or reward signals is a category error. Error feedback signals in the brain are only used for goal-directed motor learning. Deep neural nets (and function optimizers in general) are not even in the correct galaxy, let alone the correct ballpark of the AGI solution. AI experts fool themselves and others to believe that they're researching intelligence. They are not. They are computer automation experts. They should refrain from talking about neuroscience and stick to their own field. It's unnerving. 😬
Dwarkesh Patel@dwarkesh_sp

New episode w @AdamMarblestone on what the brain's secret sauce is: how do we learn so much from so little? Also, the answer to Ilya’s question: how does the genome encode desires for high level concepts that are only seen during lifetime? Turns out, they’re deeply connected questions. Timestamps 0:00:00 – The brain’s secret sauce is the reward functions, not the architecture 0:22:20 – What the genome actually encodes 0:42:42 – What kind of RL is the brain doing? 0:50:31 – Is biological hardware a limitation or an advantage? 1:03:59 – Why we need to map the human brain 1:23:28 – What value will automating math have? 1:38:18 – Architecture of the brain Look up Dwarkesh Podcast on YouTube, Apple Podcasts, Spotify, etc. Enjoy!

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Physics In History
Physics In History@PhysInHistory·
If consciousness arises from matter, can a machine be conscious? ✍️
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Keşfet

@DeryaTR_ @SchmidhuberAI @flowersslop @sama @natebjones @elonmusk @rand_longevity @Kekius_Sage