Crypto coaching 1️⃣ on 1️⃣

@jisooyyaaa @xdinarycatcher M hllsn twttt smks mt ml n pljn lkmlls kvrtt tlh nn s tntt vhn dlt There

@xdinarycatcher too many vowels😔😔

guys be honest what does finnish look like to yall

@UhhhHammy @elonmusk @XFreeze Ship a screw to me!

@elonmusk @XFreeze I just found out at my job today that I make parts that ship out and are used at SpaceX! Feels super cool to know I play even the tiniest of parts in something so important to mankind!

SpaceX 2026 till date rocket launches are actually insane The raw data as of May 12: • SpaceX → 55/55 (100% successful missions) • Rest of the World → 46/51 ➝ 6 failed missions (90.2% successful) SpaceX has launched more successfully than entire China + Russia + Europe + India + Japan + all other US companies combined

@dream_mindlabs 5Meo can be naturally derived from specific frogs so it could be possible 🤝

@Cryptocoach767 CO allows for use of naturally derived molecules for personal spiritual/exploration uses

Psychedelics in palliative care? Yes! Definitely not for everyone but, for the right client who is cognitively intact with a beautiful support system, psychedelics can be transformative. I was asked by a Hospice/palliative care doctor if we could provide a DMT session for a young (50ish) Hospice patient who is seeking clarity and comfort as he approached end of life. We were able to provide two separate DMT experiences. First with intramuscular injection and then with DMTx. (He also explored ketamine with his primary care provider.) he expressed gratitude and had such a profound experience with DMT, where he was able to revisit his life with joy and experience his relationship with his children through “the eyes of a child”. He reported feeling transformed and laughed the entire journey. His wife reported improved relationship following the sessions, despite his continued physical decline. He approached death through the MAID program, I was honored to be asked, and humbly accepted the invitation to be present. Although I did not know him closely personally, he requested my presence as the space I had held with DMT had meant so much. With family and friends present, candles were lit and as he requested, he laid under the stars to depart his rapidly failing physical body. No psychedelics were used at this time and I was asked to play crystal bowls and humbly held space. It was truly transformative to be asked to be part of this transition 🙏🏼

@this_subhan @XFreeze @elonmusk We send your mom

@XFreeze @elonmusk cool, now we just need 1,000 m³ worth of stuff that actually needs going to space 😭

Starship’s cargo bay delivers 1,000+ cubic meters of usable volume The entire International Space Station has a pressurized volume of 1,005 m³ It took 42 assembly flights and over $150 billion across 13+ years to build Starship can deliver more volume than the entire ISS in a single flight For context, a single payload bay can hold: → The interior volume of a massive 5-bedroom house → The volume of 20+ standard shipping containers → Entire space station modules (fully assembled) → Over two dozen Cybertrucks → Multiple Boeing 737 fuselage sections → 100+ large satellites with room to spare And it is 18 meters tall....meaning you can stack an entire 5-story building inside it And it is fully reusable. Launch the next massive telescope. Or an entire space station. Or the next Mars habitat All possible in a single flight This is why Starship is pure engineering magic

@jnnnthnn Your look is like a mix of Mark Zuckerberg and the Claude CEO :D Not a bad mix for AI CEO

every user sends us an email when they onboard i respond to every one of them sometimes i respond so fast that people need a proof of humanity

Artifact soon

@KevinEspiritu Donate it to a university

GUYS THIS IS EXTREMELY RARE, PLEASE REACT ACCORDINGLY

@RL_Tracker Must be a record amount!

🔥🔥🔥🔥🔥🔥🔥 79,000,000 #RLUSD burned at RLUSD Treasury. xrpscan.com/tx/4DC79D01190…

💵💵💵💵💵💵 5,000,000 #RLUSD minted at RLUSD Treasury. xrpscan.com/tx/1D5AC251B75…

@pricevilloresi @elonmusk @EricLDaugh @DataRepublican Can you share your work? It is peculiar because i have been writing about defining geometry from the asymmetrical point of view, comparing matter to antimatter and then geometry as the root!

🚨NEW PHYSICS DISCOVERED Hi @elonmusk 📡 I created my PRICE THEORY to explain DARK MATTER. Then I tested and proved the symmetry of asymmetry in real life. This is DAY 67 trying to reach you so I can simply DM you..I am a 32F from NJ; This will advance all technology & the planet 🌎 I WON’T GIVE UP! 🇺🇸

🚨 HOLY CRAP! DNI Tulsi Gabbard has learned that US intelligence intercepted Ukraine government plans to route HUNDREDS OF MILLIONS of American tax dollars to boost Biden's 2024 campaign against Donald Trump, and the DNC — Just The News Gabbard is now asking the US Agency for International Development to determine if the "plot" was carried out. The US tax dollars were earmarked for Ukraine to use for "clean energy" Gabbard's team even found that the communications — intercepted under BIDEN — were NOT even thoroughly investigated IMAGINE THAT. Investigate and expose it all, DNI Gabbard!

@marceladunn @IanRunkle @EndWokeness But the Godfather is about a newly moved in Italian-American family. Why does this ethnicity/minority group qualify when it is in the historical context?

@IanRunkle @EndWokeness Dude…Under the standard A3 (Main storyline/subject matter): Schindler’s List would qualify, because the story is centered on a specific ethnic group (Jews) that suffers systematic persecution…

In order to compete at the Oscars for Best Picture, all films must meet the "diversity inclusion" quota. Here are those rules. Yes, this is real.

@elonmusk @_avichawla

@_avichawla Impressive work from Kimi

Big release from Kimi! They just released a new way to handle residual connections in Transformers. In a standard Transformer, every sub-layer (attention or MLP) computes an output and adds it back to the input via a residual connection. If you consider this across 40+ layers, the hidden state at any layer is just the equal-weighted sum of all previous layer outputs. Every layer contributes with weight=1, so every layer gets equal importance. This creates a problem called PreNorm dilution, where as the hidden state accumulates layer after layer, its magnitude grows linearly with depth. And any new layer's contribution gets progressively buried in the already-massive residual. This means deeper layers are then forced to produce increasingly large outputs just to have any influence, which destabilizes training. Here's what the Kimi team observed and did: RNNs compress all prior token information into a single state across time, leading to problems with handling long-range dependencies. And residual connections compress all prior layer information into a single state across depth. Transformers solved the first problem by replacing recurrence with attention. This was applied along the sequence dimension. Now they introduced Attention Residuals, which applies a similar idea to depth. Instead of adding all previous layer outputs with a fixed weight of 1, each layer now uses softmax attention to selectively decide how much weight each previous layer's output should receive. So each layer gets a single learned query vector, and it attends over all previous layer outputs to compute a weighted combination. The weights are input-dependent, so different tokens can retrieve different layer representations based on what's actually useful. This is Full Attention Residuals (shown in the second diagram below). But here's the practical problem with this idea. Full AttnRes requires keeping all layer outputs in memory and communicating them across pipeline stages during distributed training. To solve this, they introduce Block Attention Residuals (shown in the third diagram below). The idea is to group consecutive layers into roughly 8 blocks. Within each block, layer outputs are summed via standard residuals. But across blocks, the attention mechanism selectively combines block-level representations. This drops memory from O(Ld) to O(Nd), where N is the number of blocks. Layers within the current block can also attend to the partial sum of what's been computed so far inside that block, so local information flow isn't lost. And the raw token embedding is always available as a separate source, which means any layer in the network can selectively reach back to the original input. Results from the paper: - Block AttnRes matches the loss of a baseline LLM trained with 1.25x more compute. - Inference latency overhead is less than 2%, making it a practical drop-in replacement - On a 48B parameter Kimi Linear model (3B activated) trained on 1.4T tokens, it improved every benchmark they tested: GPQA-Diamond +7.5, Math +3.6, HumanEval +3.1, MMLU +1.1 The residual connection has mostly been unchanged since ResNet in 2015. This might be the first modification that's both theoretically motivated and practically deployable at scale with negligible overhead. More details in the post below by Kimi👇 ____ Find me → @_avichawla Every day, I share tutorials and insights on DS, ML, LLMs, and RAGs.

@Chad_Hominem_ @icannotlie22 You got to be a tree also. I hope you weren't a plastic chair.

@icannotlie22 You got to be a tree? Must be nice

If you want true longevity take salvia I spend several thousand years as a wooden chair

@Vet_X0 @NFAdotcrypto @bearableguy123 A game you know: poker

@NFAdotcrypto @bearableguy123 what game are they people playing

Of all the days, @bearableguy123's first tweet was on William Shatner’s birthday. 👀

Want to deep understand Crypto and the markets?💲💸 Book a 20-minute free call by commenting "Book" below👇 Want to hear personally the latest from 7-figure investor (best valued portfolio at 3.5 million USD) $XRP $SOL $BTC $ETH $LUNC $ONDO $KCS

Want to deep understand Crypto and the markets?💲💸 Book a 20-minute free call by commenting "Book" below👇 Want to hear personally the latest from 7-figure investor (best valued portfolio at 3.5 million USD) $XRP $SOL $BTC $ETH $LUNC $ONDO $KCS After that $20 per hour

@elonmusk @grok 3

Cool @Grok

Today I just finished a project that took me 7 months to produce for a client. This company now has an “AI Shadow” for each department head and C level executive. The local encrypted AI listens in to all that the employee says and said to them and accesses all reports. Today the CEO called each “AI Shadow” on the phone and got a report. And said it was the best insight he has in 40 years of business. Next week each “AI Shadow” will be able to contact each other and their respective executives and brainstorm or answer questions. This is the first known deployment of this type of technology and it was built in my garage. It is early days but will write more about it as I can.