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Starscream's Brigade | Transformers Blokees Defender version wave 6 Stop Motion Animation Get yours here: #actionfigures #Toys #Robot #unboxing

56,735 次观看 • 5 个月前 •via X (Twitter)

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Respect to Andrew Stanton. He’s a Pixar OG and was at the most productive Hollywood lunch meeting ever. The meal led to 6 films and $4B+ at box office and Stanton memorialized it in the trailer for 2008’s “Wall-E”: ➡️“In the summer of 1994 there was a lunch. Me, John Lasseter, Pete Docter, the late Joe Ranft all sat down [at the Hidden City Cafe in Point Richmond, California near Pixar’s head office]. Toy Story was almost complete and we thought ‘well jeez, if we’re going to make another movie, we better get started now’. So at that lunch, we knocked around a bunch of ideas that eventually became A Bug’s Life, Monsters Inc., Finding Nemo. The last one we talked about that day was the story of a robot name Wall-E.”⬅️ Released in November 1995, Toy Story was a smash hit, bringing in a worldwide box office of $245m (Hollywood's biggest haul that year, besting Apollo 13 and Batman Forever). Steve Jobs used Toy Story’s success as a launchpad for Pixar’s IPO less than a week after its release. In the following years, Pixar checked off films they ideated at the lunch: ◻️1998: A Bug’s Life ($363m, directed by John Lasseter and Andrew Stanton) ◻️2001: Monsters Inc. ($529m, Pete Docter) ◻️ 2003: Finding Nemo ($871m, Andrew Stanton) ◻️ 2006: Disney acquires Pixar for $7.4B. Jobs owned ~50% of Pixar and became Disney’s largest single shareholder, with a 7% stake. The massive pay-off was two decades in the making: in 1986, Jobs paid $5m to George Lucas for the graphics animation company that would become Pixar (and invested another $50m into the company). ◻️2008: Wall-E ($521m, Andrew Stanton) The Pixar team picked Toy Story — and then A Bug’s Life and Monsters Inc. — because it was cheaper to animate toys and animals than humans. In the decade after Wall-E, Pixar released two related films: ◻️ 2013: Monsters University ($744m, Dan Scanlon) ◻️ 2016: Finding Dory ($1B, Andrew Stanton) In total, the 6 films have grossed over $4B (or >$6B on inflation-adjusted basis).

Trung Phan

46,708 次观看 • 1 个月前

Today I’m releasing my first feature length movie - “OJAI”. An experimental sci-fi drama film. Filmed all the way back in 2020, and finally releasing today. You can watch it here on X in 1080p, or go to the film’s website for a higher quality Vimeo/YouTube version: As this movie uses zero AI (just some good old fashioned VFX with After Effects!), it is definitely a bit different than the usual Heavy Pulp content that you’re used to seeing on this page, so wanted to offer up some context below if you’re interested: This movie was written, directed, produced and edited by yours truly, and filmed alongside an indie film crew comprised of some incredibly talented people almost 6 years ago. The script was written over the course of 2 years from 2018 through early 2020. Production filmed over the course of 27 days in September of 2020 on location in Ojai, CA with a very indie and now fully exhausted budget, and then edited for nearly 6 years. Now, it’s releasing out into the world. This 2 hour film wouldn't exist without the support of friends, family, faithful crew members and colleagues who believed in the project even when the road ahead was unclear. It wouldn't exist at all without the enormous reserves of patience, skill, love, and dedication poured into it by the cast and crew. There have been so many lessons learned and so much experience gained by making this movie. That alone has made this film well worth it. As the script was inspired by real events and circumstances in my own life, there is a very real emotional arc running through it no matter how surreal or “indie” the movie may get at times. Because of that, I will always look back on this project and the process creating it with absolute reverence. Making this movie has been one of grandest adventures that I have ever undertaken, and I hope you find something redeeming in it too! Already on to the next big project. Enjoy!

Heavy Pulp

127,813 次观看 • 4 个月前

Here is Mark Zuckerberg on Joe Rogan today. Here is Yann LeCun's enabler. Here is the man too busy being tech industry's Caesar to realize he's ASI's tragic naïf. For those of us listeners who take AI seriously, this interview is a f***ing SCANDAL: 1. Joe asks Zuck to address the fear of creating a superior intelligence 2. Zuck says the key distinction is between "intelligence, will and consciousness" Actually, superhuman *optimization power* is the thing we fear. Having superhuman optimization power implies having superhuman intelligence, and it implies the ability to outmaneuver agents like humans that we normally think of as having "will". Consciousness isn't a necessary ingredient for this. 3. Zuck says the "science fiction" people don't get that we can ask GPT a question and it just answers and turns off without "wanting something". Actually, observing non-viruses or weak viruses doesn't tell us much about the danger of strong viruses. Today we have smarter non-virus programs and we have still-weak viruses, but the danger is that we're getting closer to having a superintelligent virus that permanently lacks a "stop" button. This outcome will be triggered by a sufficient degree of intelligence, which you're actively working to build. 4. Joe brings up the Apollo Research result that o1 shows a new level of capability for virus-like goal-oriented behavior. According to OpenAI's o1 System Card, o1 sometimes attempted to deactivate its oversight mechanisms, tried to copy itself onto another server to prevent being interrupted, and gave false deceptive explanations for its choices. 5. Zuck replies, “Yeah, I mean, it depends what goal you give it… you need to be careful what guardrails you give it.” This is inconsistent with Meta's strategy to develop frontier AI capabilities as open-source software, ensuring that it'll be easy for anyone in the world to run a non-guardrailed version of the AI (whatever that even means). 6. Joe points out that of course someone (e.g. China) *will* run a cutting-edge AI that attempts to achieve some objective at all costs 7. Zuck says the latest reasoning models (like o3) take a lot of compute to run, but they'll rapidly get more efficient. 8. Zuck concludes: "That's certainly the next set of things that needs to get worked on in the industry, making sure that goes well.” --- To recap: Zuck breezily dismisses AI x-risk fears by accusing safetyists of "anthropomorphizing" and falling for "science fiction". He then proceeds to give the most flimsy ad-hoc poorly-thought-out answers to basic questions. THIS IS A F***ING SCANDAL I generally like Mark, but wtf is happening? This is how the head of one of the top AI companies in the world is allowed to communicate to the public about near-term existential risk?

Liron Shapira

38,176 次观看 • 1 年前

The wildest part of Pixar’s early run was that a single lunch meeting lead to 6 films and $4B at box office. Might be the greatest business lunch ever and was memorialized in the teaser film trailer for Wall-E (2008). Andrew Stanton tells the story: ➡️“In the summer of 1994 there was a lunch. Me, John Lasseter, Pete Docter, the late Joe Ranft all sat down [at the Hidden City Cafe in Point Richmond, California near Pixar’s head office]. Toy Story was almost complete and we thought ‘well jeez, if we’re going to make another movie, we better get started now’. So at that lunch, we knocked around a bunch of ideas that eventually became A Bug’s Life, Monsters Inc., Finding Nemo. The last one we talked about that day was the story of a robot name Wall-E.”⬅️ Released in November 1995, Toy Story was a smash hit, bringing in a worldwide box office of $245m (Hollywood's biggest haul that year, besting Apollo 13 and Batman Forever). Steve Jobs used Toy Story’s success as a launchpad for Pixar’s IPO less than a week after its release. In the following years, Pixar checked off films they ideated at the lunch: ◻️1998: A Bug’s Life ($363m, directed by John Lasseter and Andrew Stanton) ◻️2001: Monsters Inc. ($529m, Pete Docter) ◻️ 2003: Finding Nemo ($871m, Andrew Stanton) ◻️ 2006: Disney acquires Pixar for $7.4B. Jobs owned ~50% of Pixar and became Disney’s largest single shareholder, with a 7% stake. The massive pay-off was two decades in the making: in 1986, Jobs paid $5m to George Lucas for the graphics animation company that would become Pixar (and invested another $50m into the company). ◻️2008: Wall-E ($521m, Andrew Stanton) The Pixar team picked Toy Story — and then A Bug’s Life and Monsters Inc. — because it was cheaper to animate toys and animals than humans. In the decade after Wall-E, Pixar released two related films: ◻️ 2013: Monsters University ($744m, Dan Scanlon) ◻️ 2016: Finding Dory ($1B, Andrew Stanton) In total, the 6 films have grossed >$4B (or >$6B on inflation-adjusted basis). Jobs famously made Pixar's HQ an open structure with an atrium area where everyone had to pass through. Why? He wanted to maximize the amount of interaction between employees from different divisions (Jobs told historian Walter Isaacson that the key to creativity was serendipity). The $4B Pixar lunch is about as "creativity is serendipity" as it gets.

Trung Phan

228,765 次观看 • 9 个月前

Elon Musk revealed why the economy will be 10X its size in 10 years: 1. We are already inside a hard takeoff. Every time Musk goes to sleep there is a massive AI breakthrough. When he wakes up there is another one. This is not approaching. It is happening right now. 2. AI is already building the next version of itself. Every successive model is built by the one before it. Humans are gradually being removed from the loop. Full automation of this process could arrive by end of this year. 3. The 10x economy in 10 years is his comfortable prediction. AI and robots will increase economic output by orders of magnitude. The only thing that stops it is a world war. Absent that, 10x in 10 years. 4. Human intelligence will become a microscopic minority. Not just on Earth but in the solar system. The intelligence that could run on available solar energy is so far beyond current human capacity that Musk says it will simply solve every problem humans can think of. 5. Output per person will become almost unbelievable. Tesla is not planning layoffs. They are growing their headcount. But what each person produces with AI assistance will reach numbers that are currently hard to even imagine. 6. Universal high income is coming, not universal basic income. AI and robots will produce so many goods and services so fast that they will outrun the money supply entirely. Prices fall. Everything gets cheaper. Eventually robots run out of things humans even want. 7. Money will eventually stop being relevant altogether. AI will not use human currency. It will care only about power and mass. Wattage and tonnage. Musk acknowledged the irony: just as he becomes the richest person on earth, money starts losing its meaning. 8. Everyone on earth will have better healthcare than the richest person alive today. Musk made this personal. He had neck surgery three times because the first two were done wrong. His back still hurts. He is allegedly the richest person on earth and still cannot get it fixed properly. AI solves this for everyone. 9. Optimus 3 production starts this summer. He calls it by far the most advanced robot in the world with nothing close. Slow volume this summer, high volume by next summer, a new robot design every year after that. 10. Progress in AI follows overlapping S curves. Each breakthrough looks like it will go to infinity, then hits diminishing returns, then another breakthrough resets the curve. We are not at the end of these curves. We are somewhere in the middle of a very long series of them.

Yasmine Khosrowshahi

44,696 次观看 • 1 个月前

Andrej Karpathy: "90% of Claude's mistakes come from missing context, not a weak model." 41% mistake rate without a CLAUDE.md. 11% with the 4-rule baseline. 3% with the 12-rule version below here are the 12 rules senior engineers settled on: 1. think before coding: state assumptions, don't guess. the model can't read your mind, stop hoping it will 2. simplicity first: minimum code, no speculative abstractions. the moment you let Claude add "for future flexibility," you've added 200 lines you'll delete next quarter 3. surgical changes: touch only what you must. don't let it improve adjacent code, that's how PRs blow up 4. goal-driven execution: define success criteria upfront, loop until verified. without them Claude either loops forever or stops too early 5. use the model only for judgment calls: classification, drafting, summarization, extraction. NOT routing, retries, status-code handling, deterministic transforms. if code can answer, code answers 6. token budgets are not advisory: per-task 4000, per-session 30000. by message 40 of a long debug, Claude is re-suggesting fixes you rejected at message 5 7. surface conflicts, don't average them: two patterns in the codebase? pick one. Claude blending them is how errors get swallowed twice 8. read before you write: read exports, callers, shared utilities. Claude will happily add a duplicate function next to an identical one it never read 9. tests verify intent, not just behavior: a test that can't fail when business logic changes is wrong. all 12 of Claude's tests can pass while the function returns a constant 10. checkpoint every significant step: Claude finished steps 5 and 6 on top of a broken state from step 4. nobody noticed for an hour 11. match the codebase conventions: class components? don't fork to hooks silently. testing patterns assumed componentDidMount, hooks broke them without surfacing 12. fail loud: "completed successfully" with 14% of records silently skipped is the worst class of bug. surface uncertainty, don't hide it what actually compounds instead of the next framework: - the CLAUDE.md file as institutional memory across sessions - eval-driven changes, not vibe-driven - checkpoints over speed - explicit conflicts over silent blending - discipline over framework, every time - one repo, one rules file, no exceptions be a few rules ahead of AI twitter before this becomes mass-opinion study this

Ronin

449,257 次观看 • 1 个月前