The tweet archive.

“@tunguz The rate of increase of AI is 🤯”

“@nmasc_ @KalleyHuang @steph_palazzolo The [Mis]Information strikes again. xAI is not considering an acquisition of Character AI.”

“@PeterDiamandis https://t.co/2WVsoj19ET, a dating site for AI’s who are single singularities http://Singularity.com”

“@speer_ai @BasedBeffJezos 😂”

“@dvorahfr @Magnific_AI @LumaLabsAI Impressive”

“@ajtourville Important to note that we also use the Tesla HW4 AI computer in the training loop with Nvidia GPUs, currently at roughly a 1:2 ratio. Also, we’re changing the name from Hardware 4 (HW4) to Artificial Intelligence 4 (AI4). That means ~90k H100, plus ~40k AI4 computers.”

“This is a significant advantage in training the world’s most powerful AI by every metric by December this year”

“Join @xAI (or @X) to help build maximally truth-seeking & curious AI to understand the nature of the Universe!”

“Nice work by @xAI team, @X team, @Nvidia & supporting companies getting Memphis Supercluster training started at ~4:20am local time. With 100k liquid-cooled H100s on a single RDMA fabric, it’s the most powerful AI training cluster in the world!”

“High time for an AI fashion show https://t.co/ra6cHQ4AAu”

“@ID_AA_Carmack Tesla has done so much that would be considered “AI research breakthroughs”, but we are laser-focused on making it work, rather than crowing about breakthroughs. Having a large fleet is only one piece of the puzzle. Plenty of other car companies produce way more cars than…”

“Best AI video to date!”

“@karpathy Yup, same thing happening with real-world AI at Tesla”

“@lexfridman Maybe the AI can finally make Half-Life 3”

“We were told AI doom would be a paper clip maximizer, but it’s actually going to be Strawberry Fields Forever 🥁”

“@WholeMarsBlog The amount of testing time it takes to figure out if the new AI is better than the existing AI as measured by miles between interventions is the limiting factor on progress. The better FSD gets the longer it takes to find interventions.”

“@CuriousPejjy All that matters is improving Tesla self-driving AI such that miles between interventions is >> human”

“@dvorahfr @Magnific_AI @LumaLabsAI AI everything in the future”

“True, although AI & robotics will save us (probably)”

“Join xAI to build maximum truth-seeking AI with the best sense of humor!”

“@ai_ctrl Accurate”

“The trend is very strong that any AI company’s name that can be inverted will be inverted”

“Sizing for ~130MW of power & cooling this year, but will increase to >500MW over next 18 months or so. Aiming for about half Tesla AI hardware, half Nvidia/other. Play to win or don’t play at all.”

“Any given AI startup is doomed to become the opposite of its name”

“@stevenmarkryan AI just breaks all conventional valuations”

“@chazman @X @Tesla_AI So much is new in 12.4 that it will take a few more point releases to smooth it out”

“We should eliminate electronic voting machines. The risk of being hacked by humans or AI, while small, is still too high.”

“Wise words from a recent interview with @geoffreyhinton, one of the smartest people in the world regarding AI https://t.co/11A7fJpLcs”

“@alexandr_wang @scale_AI Great!”

“Now imagine if an AI trained in this way grows in power immensely”

“@MKBHD Apple using the words “protect your privacy” while handing your data over to a third-party AI that they don’t understand and can’t themselves create is *not* protecting privacy at all!”

“It’s patently absurd that Apple isn’t smart enough to make their own AI, yet is somehow capable of ensuring that OpenAI will protect your security & privacy! Apple has no clue what’s actually going on once they hand your data over to OpenAI. They’re selling you down the river.”

“@MikeBenzCyber If Apple actually integrates woke nanny AI spyware into their OS, we might need to do that!”

“@WholeMarsBlog @rocker_261 @SawyerMerritt Training compute for Tesla is relatively small compared to inference compute, as the latter scales linearly with size of fleet. Perhaps the best way to think about it is in terms of power consumption. When the Tesla fleet reaches 100M vehicles, peak power consumption of AI…”

“@SawyerMerritt Of the roughly $10B in AI-related expenditures I said Tesla would make this year, about half is internal, primarily the Tesla-designed AI inference computer and sensors present in all of our cars, plus Dojo. For building the AI training superclusters, NVidia hardware is about…”

“@tunguz AI will not miss”

“@PicoPaco17 He’s been out of touch with AI for a long time”

“@p_ferragu The AI robot future is coming fast”

“A lot of social media is bad for kids, as there is extreme competition between social media AIs to maximize dopamine!”

“@tunguz And it will get a *lot* better as we move to a fully AI-based post recommendation system, order the replies (and remove spam/scam) with AI and enable full semantic search with AI”

“Now imagine if the philosophy that led to this outcome was programmed into AI”

“Now imagine if the extinctionist philosophy is programmed into AI. No need to imagine – this is already the case with Gemini and ChatGPT.”

“@netcapgirl It’s the proxy server IP addresses of your AI gf that really stab you through the heart 😢”

“Accurate analysis. Only about 1/10,000 of distance driven is useful for training. The limiting factor for FSD progress was AI training compute, but now it is validation, as the interventions are so rare.”

“@Rainmaker1973 AI will shorten the cycles”

“@stillgray It’s gonna get *way* funnier! We are aiming to have by far the funniest AI on Earth. Laughter is the best medicine.”

“@DrKnowItAll16 @Tesla_AI Yes, this is fully autonomous (no human in the loop anywhere)”

“@nursedanakay Pure AI vision auto park. Coming soon, your Tesla will take you to your destination and park automatically, unless you ask it otherwise.”

“@netcapgirl AI is a sparse matrix”

“@WholeMarsBlog Tesla will spend around $10B this year in combined training and inference AI, the latter being primarily in car. Any company not spending at this level, and doing so efficiently, cannot compete.”