Graphene (impact/acc) 🧬 @alt_computing

There will be actual living "zombies" in the future (after a critical point in longevity research).

@8teAPi You could have resolved your suspicion with Claude?

@pooplius @beffjezos If only you heard his candid words on Spaces pre-doxing

The thing about me is that I never give up, and adversity is my fuel. Bring it on.

@beffjezos Beff on his third major endeavour 💪 I won't bet against Beff

@fk_0006 @beffjezos I'm fat

@beffjezos Euphoric for transistor 2.0 to unleash a new era

@shiraeis I thought I was the only one thinking these things 🥳 really wanna talk Shira

@WatcherGuru Gary Gensler was also pro-crypto (taught crypto courses at MIT) up until joining SEC

@beffjezos Bro I idealize you the way you "idealize" Elon

There will be no AI jobpocalypse. The story that AI will lead to massive unemployment is stoking unnecessary fear. AI — like any other technology — does affect jobs, but telling overblown stories of large-scale unemployment is irresponsible and damaging. Let’s put a stop to it. I’ve expressed skepticism about the jobpocalypse in previous posts. I’m glad to see that the popular press is now pushing back on this narrative. The image below features some recent headlines. Software engineering is the sector most affected by AI tools, as coding agents race ahead. Yet hiring of software engineers remains strong! So while there are examples of AI taking away jobs, the trends strongly suggest the net job creation is vastly greater than the job destruction — just like earlier waves of technology. Further, despite all the exciting progress in AI, the U.S. unemployment rate remains a healthy 4.3%. Why is the AI jobpocalypse narrative so popular? For one thing, frontier AI labs have a strong incentive to tell stories that make AI technology sound more powerful. At their most extreme, they promote science-fiction scenarios of AI “taking over” and causing human extinction. If a technology can replace many employees, surely that technology must be very valuable! Also, a lot of SaaS software companies charge around $100-$1000 per user/year. But if an AI company can replace an employee who makes $100,000 — or make them 50% more productive — then charging even $10,000 starts to look reasonable. By anchoring not to typical SaaS prices but to salaries of employees, AI companies can charge a lot more. Additionally, businesses have a strong incentive to talk about layoffs as if they were caused by AI. After all, talking about how they’re using AI to be far more productive with fewer staff makes them look smart. This is a better message than admitting they overhired during the pandemic when capital was abundant due to low interest rates and a massive government financial stimulus. To be clear, I recognize that AI is causing a lot of people’s work to change. This is hard. This is stressful. (And to some, it can be fun.) I empathize with everyone affected. At the same time, this is very different from predicting a collapse of the job market. Societies are capable of telling themselves stories for years that have little basis in reality and lead to poor society-wide decision making. For example, fears over nuclear plant safety led to under-investment in nuclear power. Fears of the “population bomb” in the 1960s led countries to implement harsh policies to reduce their populations. And worries about dietary fat led governments to promote unhealthy high-sugar diets for decades. Now that mainstream media is openly skeptical about the jobpocalypse, I hope these stories will start to lose their teeth (much like fears of AI-driven human extinction have). Contrary to the predictions of an AI jobpocalypse, I predict the opposite: There will be an AI jobapalooza! AI will lead to a lot more good AI engineering jobs, and I’m also optimistic about the future of the overall job market. What AI engineers do will be different from traditional software engineering, and many of these jobs will be in businesses other than traditional large employers of developers. In non-AI roles, too, the skills needed will change because of AI. That makes this a good time to encourage more people to become proficient in AI, and make sure they’re ready for the different but plentiful jobs of the future! [Original text in The Batch newsletter.]

Top 7 IIT research internship at a reputed lab > they pay X rs for the internship > they charge 0.8X for accomodation and food > they don't provide pillows + blanket + bucket etc. > inside store charges 0.3X for the same amenities > college profits 0.1X research in India is a fucking joke, never do it here. please brain drain asap and leave this place if you wanna do serious research.

Anthropic could have chosen to release Mythos gradually to public so that eventually developers who don't use it are at disadvantage. I bet they will make it public but in the short term they are just sensationalising by declaring it limited access forever.

Glucose = CPU registers/cache Glycogen = RAM Fat = Storage Insulin = Memory controller Glucagon = Retrieval controller Insulin resistance = Memory access failure / bus congestion

Fun fact - there are 3500 mosquito species. Now imagine, if humans had that many!

And also when we create a new biological species. Guess - we will transcend biological substrate first before doing most critical synthetic biology because of greater ethics and risks.

Graphene (impact/acc) 🧬 @alt_computing

3 months ago

Waiting for the day when embryo editing will become as normalised as vaccination.

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Waiting for the day when embryo editing will become as normalised as vaccination.

Just learnt how mosquitoes know that they have to bite humans, and the underlying genetics is beautiful ❤️ Excited for the day when such biological sensors and machines are invented!

@arpit_bhayani Like you, I think future will be interdisciplinary esp for CS folks. So, switched to AI*Biology.

@cneuralnetwork NUS accepts GATE score