Adam Luciano

Anti-Aging Breakthrough: Stem Cells Reverse Signs of Aging in Monkeys - Real Progress… nad.com/news/anti-agin…

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. @itiscolossal" target="_blank" rel="nofollow noopener">youtube.com/@itiscolossal

Fantastic discovery - quantum is heating up

A good look at DeepSeek’s V3 R1 impacts stratechery.com/2025/deepseek-…

Really interesting, opposite of what we see on the software engineering side #AI

Wow… blazing the path to the future of space travel

@realDonaldTrump I only hear music, not the audio stream, maybe there is some sort of mix up on the audio stream?

@meelonmuskusa Yes

🚨 BREAKING: The World Intellectual Property Organization – @WIPO publishes the "Patent Landscape Report on Generative AI," and it's a MUST-READ for everyone in AI. Below are the [impressive] key findings: "➵ 54,000 GenAI-related inventions (patent families) were filed and more than 75,000 scientific publications published between 2014 and 2023. ➵ The growth is rapid, with the number of GenAI patents increasing eightfold since the 2017 introduction of the deep neural network architecture behind the Large Language Models that have become synonymous with GenAI. ➵ In 2023 alone over 25% of all GenAI patents globally were published, and over 45% of all GenAI scientific papers were published. ➵ GenAI patents still currently only represent 6% of all AI patents globally. ➵ The top 10 GenAI patent applicants are: Tencent (2,074 inventions), Ping An Insurance (1,564 inventions), Baidu (1,234 inventions), Chinese Academy of Sciences (607), IBM (601), Alibaba Group (571), Samsung Electronics (468), Alphabet (443), ByteDance (418), Microsoft (377). ➵ The top five inventor locations are China (38,210 inventions), US (6,276 inventions), Republic of Korea (4,155 inventions), Japan (3,409) and India (1,350). ➵ Image and video data dominate GenAI patents (17,996 inventions), followed by text (13,494 inventions) and speech/music (13,480 inventions). GenAI patents using molecule, gene and protein-based data are growing rapidly (1,494 inventions since 2014) with 78% average annual growth over the past five years. ➵ GenAI patents span across a diverse range of sectors, including in life sciences (5,346 inventions), document management and publishing (4,976 inventions) and over 2,000 inventions in each of business solutions, industry and manufacturing, transportation, security, and telecommunications. ➵ In the future, GenAI can help design new molecules, expediting drug development. It can automate tasks in document management and publishing, be increasingly used in retail assistance systems and customer service chatbots and enable new product design and optimization, including in public transportation systems and autonomous driving." - ➡ A very interesting report - don't miss it (link below). ➡ To stay up to date with the latest developments in AI policy & regulation, join 27,500 who subscribe to my weekly newsletter (link below).

We have trained ESM3 and we're excited to introduce EvolutionaryScale. ESM3 is a generative language model for programming biology. In experiments, we found ESM3 can simulate 500M years of evolution to generate new fluorescent proteins. Read more: evolutionaryscale.ai/blog/esm3-rele…

@bindureddy @burny_tech Opus is underrated for sure, one of the best LLMs out there now, GPT4o dropped in its overall capabilities. Wish I could still access the original GPT4 first released.

Claude Opus rules when it comes to dealing with complex documents. It also has a much lower hallucination rate than GPT-4o Still can't figure out why it doesn't get more love on X 🤷

Thrilled to announce AlphaFold 3 which can predict the structures and interactions of nearly all of life’s molecules with state-of-the-art accuracy including proteins, DNA and RNA. Biology is a complex dynamical system so modeling interactions is crucial blog.google/technology/ai/…

@sama Very cool to potentially test a model in the open, covertly

i do have a soft spot for gpt2

Great read on the macro cycle

@Sentdex Cancelled my subscription last week, was a member since early 2023. Capability deteriorated with gpt turbo, and I can get a lot of what I want from a combination of @mistral and codellama.

I have found tunes of Code Llama 34B to be close enough to what GPT-4 did for me to cancel my sub to GPT-4. With Code Llama 70B finally released, the subsequent tunes can further seal the fate of closed AI for coding models where OSS AI is just plain better in every way. From here, Mixtral is a general purpose OSS AI model that can also be fine-tuned further by the open source movement to replace the more general-purpose goals, and Mixtral isn't going to be the last. If you've moved off GPT-4, when did you? If you haven't yet, what capabilities are you not yet happy with from OSS AI models?

@RaoulGMI I think a simple way to think about the muscle piece and movement piece - simulate struggle and your body will adapt to being strong, otherwise it will work the other way and adapt to being weak = no use and ultimately no reason to being around. Same for mental/social.

Random post on longevity: There is a US-based school of thought that longevity requires higher muscle mass, higher protein, HIIT, alcohol free, ice baths, supplements, 15% body fat, highly discipline-based lifestyle to live longer. While the evidence is that the longest living populations don’t share those attributes at all. None of except for HK are high protein, most have moderate alcohol consumption and many eat meat rarely and none go to the gym to build muscle mass. They tend to be actively mobile with moderate but frequent heart rate increase, high vitamin D from sun or fish, high vegetable consumption and very varied diet. They tend to be slimmer to a bit overweight in old age ,highly mobile take no supplements. I observed this in Spain where I lived for 19 years and have had a house for 25 years. I’m sure the truth to even further life extension lies somewhere in between and definitely with lower refined sugars, seed oils and ultra-processed food and mobility and agility plus social structures. I prefer a rather low carb diet, some supplements, all natural food, etc but the obsession with excessive muscle building and neo-Puritanism feels misguided even. Sure, offsetting muscle atrophy of age and a sedentary lifestyle is good (I.e being in decent shape). Also most of the longevity studies of the new school of thought is based on biogenetic studies of mice and has not been shown in broader, long living human populations. Just talking out loud and was interested in people’s thoughts as something feels off in the Huberman, Attia etc approach taken in extremis.

@demishassabis @Nature Great achievement by #deepmind. The coupling of a probabilistic mechanism and a deterministic mechanism with great dataset curation can have awesome results.

Congrats to the #AlphaGeometry team on their impressive breakthrough published today in @Nature using a neuro-symbolic hybrid AI system that can solve Maths Olympiad-level geometry problems. deepmind.google/discover/blog/…

@RaoulGMI Many LLMs are in the GB range, which would be too expensive for the more censorship resistant blockchains to store. I think something like @Filecoin or @ArweaveEco could be helpful. Another way could be to hash the target files, store the hash with a pointer on a block.

Question: Is it yet possible for open-source AI models to be encrypted and stored on the Bitcoin blockchain or another? Feels like that is the one chance we have of not allowing AI models to get censured and open to all.

@CathieDWood @elonmusk How do you see the pathway to a GA Optimus robot developing? what target use cases would Optimus be good for in the first GA version?

I am looking forward to joining @elonmusk on X Spaces later this week. Please reply with questions and we will ask the best ones as we cover everything from AI to space and beyond!

The new @MistralAI Mixtral 8x7B is doing a great SQL. Running on @togethercompute x @langchain Source:- github.com/kaarthik108/sn…