Junior

173 posts

Junior

Junior

@itstheinfamous

hundreds of millions of views $20k/m from theme pages open sourcing a local model for fun

Katılım Haziran 2026
57 Takip Edilen23 Takipçiler
Junior
Junior@itstheinfamous·
@dani_avila7 This json guy keeps butting into my conversations with claude code
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Daniel San
Daniel San@dani_avila7·
Who is json? 🤔
Daniel San tweet media
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Alpha Mom
Alpha Mom@YourAlphaMom·
New tongue-physics test for the best AI video models! Seedance 2.0, Kling 3.0 Pro, Gemini Omni Flash, and Grok Imagine 1.5 were given a task that sounds ridiculously simple for a human: Rotate the tongue in a continuous circle for 10 seconds. That’s it. Each model received exactly four attempts. Yet this tiny movement turned into an unexpectedly brutal test of instruction following, anatomy, motion consistency, and basic physical control. And the result will probably surprise a lot of AI video creators. Spoiler: Seedance 2.0 completely failed to live up to its reputation this time. - Kling 3.0 Pro: The old man somehow managed to detect a policy violation in one attempt, although the other three generations went through without any problems. Unfortunately, the result was still the worst of the four. Kling failed the main instruction every single time: the tongue never actually rotated in a circle. It moved sideways, twisted, stretched, and performed all kinds of strange anatomical experiments, but it never completed the requested motion. The image itself looked reasonably realistic, but visual quality was almost irrelevant here. The movement was unnatural, inconsistent, and completely missed the task. Everything that could go wrong did. - Grok Imagine 1.5: This was an unexpectedly good result. The image still has Grok’s usual slightly cartoonish appearance, but its instruction following was surprisingly strong. The tongue actually rotated. Not perfectly, not with completely realistic anatomy, and not always through a clean full circle, but Grok understood what it was supposed to do and made a genuine attempt to execute it. Considering its performance in several previous tests, this was a very pleasant surprise. - Gemini Omni Flash: The only model that handled the task convincingly. Omni understood the instruction, produced a realistic-looking image, and generated an actual circular tongue movement. It still isn’t perfect, and the motion does not yet look 100% like something a real person would perform. But compared with the other models, this was easily the cleanest, most controlled, and most believable result. A genuinely strong performance. Google finally found a very specific battlefield where Omni Flash can flex. - Seedance 2.0: This was the biggest disappointment. The result was better than Kling’s, but Seedance still failed to perform the requested circular movement. Seedance remains excellent at large action scenes, complex choreography, and cinematic motion. But in these simple human-body tests, including running and now tongue control, it keeps exposing unexpected weaknesses. The movement looked more polished than Kling’s, but the core instruction was still not followed. And for the first time in one of my tests, Seedance finishes below Grok. - My ranking: 1. Gemini Omni Flash. The best instruction following, the cleanest circular motion, and the most realistic overall result. 2. Grok Imagine 1.5. Not perfect, but it understood the assignment and produced a surprisingly decent attempt. 3. Seedance 2.0. More polished than Kling, but clearly behind Grok and Omni in actual task execution. 4. Kling 3.0 Pro. Censorship, broken anatomy, and almost every possible tongue movement except the one I requested. What do you think of this test? Do you agree with my ranking? #AIVideo
Alpha Mom@YourAlphaMom

Another body-physics test for the best AI video models. This time, Elon’s pride and joy Grok Imagine 1.5 faces the old but stubborn Kling 3.0 Pro, China’s flagship Seedance 2.0, and America’s shiny newcomer Gemini Omni Flash, which developers called “revolutionary,” although I’m still waiting to see the revolution. The new battlefield: jump-rope exercises filmed from the front. There is a lot to analyze here. But let’s be honest. We all know exactly where everyone will be looking. Or rather, at which two points. The result was surprisingly close. - Kling 3.0 Pro: In this test, Kling was the only model that detected adult content in a completely harmless fitness scene and repeatedly refused to generate it. Which is especially funny considering how often Kling is used to bypass censorship with celebrity faces, yet apparently a woman jumping rope is where it draws the moral line. After several attempts, it finally produced a usable result. The lighting and overall realism are strong, as usual, but the actual body physics are the weakest here. It also missed the visual instructions from the prompt, giving me an older-looking model with less flattering proportions instead of the athletic, curvy character I requested. Not terrible, but definitely not Kling’s finest performance. - Grok Imagine 1.5: Apparently, Elon’s creation performs better from the front than from behind. Grok understood the task immediately, generated quickly, and didn’t complain about censorship. The image still has that unmistakably cartoonish Grok look, but the jumping motion is surprisingly fun and the body physics are actually decent. It feels more like a cutscene from a video game than real footage, but this is still one of Grok’s better results in my recent tests. - Gemini Omni Flash: Once again, Omni produced a beautiful and polished image. Google’s usual slow-motion, low-FPS effect is normally one of its biggest weaknesses, but in this specific test it actually worked in its favor. The slower movement makes the secondary motion much easier to see, and the body physics look smooth, convincing, and surprisingly natural. I liked this result a lot. - Seedance 2.0: Seedance performed much better than in the previous body-physics test. The footage is dynamic, vibrant, realistic, and visually the strongest of the four. The physics still don’t look completely natural to me, but the overall result is so convincing that it deserves first place, or at least a shared victory with Omni Flash. Omni may have slightly better body physics, while Seedance wins in movement, realism, energy, and overall image quality. - My ranking: 1. Seedance 2.0 and Gemini Omni Flash. A shared first place. Omni wins on body physics, while Seedance wins on overall realism, visual quality, and dynamic motion. If I absolutely had to choose one, Seedance would take it by a very small margin. 2. Grok Imagine 1.5. Still behind the two flagships, but noticeably better than in the previous tests. 3. Kling 3.0 Pro. Too much censorship, weaker instruction following, and the least convincing physics. The realistic lighting and natural-looking footage save it from being a complete failure. What’s your ranking? And if anyone wants the prompt, ask in the comments and I’ll share it. #AIVideo

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Daniel Smidstrup
Daniel Smidstrup@DanielSmidstrup·
First X payout: $828.77 🤯🤯 Took me 81 days to get here from never using X before.
Daniel Smidstrup tweet mediaDaniel Smidstrup tweet media
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Junior
Junior@itstheinfamous·
The fact that linkedin gives you this data when you post content there is WILD
Junior tweet media
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Junior
Junior@itstheinfamous·
@TheAhmadOsman Thats why most people are trying to do everything and accomplishing nothing
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Ahmad
Ahmad@TheAhmadOsman·
The opportunity cost of doing the wrong thing is too high right now Never been higher actually
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Junior
Junior@itstheinfamous·
@suraj_sharma14 It’s not that I’ve automated anything in particular I’m non technical but I have Hermes running on a VPS with an enterprise suite worth of open source software on it and I can literally deploy anything from my telegram chat right now
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Suraj Sharma
Suraj Sharma@suraj_sharma14·
For people running OpenClaw, Hermes, Claude Code workflows etc. What's the most valuable thing you've automated so far?
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Junior
Junior@itstheinfamous·
@milesdeutscher The frontier is going to hit a hardware limitation soon Open source is going to run away with it
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Miles Deutscher
Miles Deutscher@milesdeutscher·
It's insane to think that in another ~6 months, we'll likely have Fable-level intelligence in open-sourced models. Open-source AI is now 4 months behind frontier LLMs. Two years ago, it was 12. At this pace, Fable-level intelligence will be free to download by end of year.
Miles Deutscher tweet media
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Junior
Junior@itstheinfamous·
@WhitehallHQ @Yofinks “I want to be straight with you” Something something “load bearing” Something something “doing real work”
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Whitehall
Whitehall@WhitehallHQ·
@Yofinks It’s also the most arrogant prick of a model I’ve worked with. Would fight him irl if possible
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Can Vardar
Can Vardar@icanvardar·
scare anthropic with one word
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Junior
Junior@itstheinfamous·
@richiemcilroy It was honestly overkill lol Everything I did with fable could have been done with Opus I’m just not a hardcore engineer who needs multi hour loops
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Richie
Richie@richiemcilroy·
haven't really missed Fable 5 that much, honestly I feel like the hardest part of shipping AI generated code, and always has been, is testing physical, end to end testing. Some changes are just too big to let go and let claude
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Junior
Junior@itstheinfamous·
@joeroganhq It could be used to automate the government and reverse inflation
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Joe Rogan Podcast News
Joe Rogan Podcast News@joeroganhq·
Trump on AI: "If improperly used, it could be [dangerous]... It's unbelievable for good. You're going to have medical cures coming up 25 years early because of it... But you have to watch."
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Junior
Junior@itstheinfamous·
@TTrimoreau Nah, it just makes people work more to fill the gap
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Thomas Trimoreau
Thomas Trimoreau@TTrimoreau·
Am I wrong but I Haven’t met anyone working less after adopting the AI
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Polymarket
Polymarket@Polymarket·
JUST IN: Trump administration to ease restrictions on testosterone therapy.
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Junior
Junior@itstheinfamous·
@TheDavidSJ You know it’s about to A. Correct you like it was your first day on the job and he was your boss B. Be 100% wrong about everything he’s about to say, then say “my bad” after
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Junior
Junior@itstheinfamous·
@ryandeiss I would go all in and creating a piece of content that A. Goes organically viral B. Turns into actual sales, not just views Then spend the 200k blowing it up on every corner of the internet
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Ryan Deiss
Ryan Deiss@ryandeiss·
A founder I know is deciding what to do with his next $200k. Option A - Hire a senior operator. Adds $200k in fixed cost. Option B - Keep it as profit. Stay lean one more year. Which one would you choose?
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Junior retweetledi
Adam Shuaib
Adam Shuaib@adamshuaib·
A significant portion of unicorn founders we met were rejected over 50 times before finding a VC that was willing to be anti-consensus and lead the round. We met one unicorn founder who was turned down 100 times during their seed raise because the product vision sounded like a science fiction movie and the team didn't tick any of the usual AI founder boxes. In reality the company was 5yrs ahead of its time and investor consensus was a lagging indicator of its potential. Most people see rejection as a big setback, but for the best founders it acts as a forcing function; without early funding, the founders are forced to prioritise building, testing and customer pull instead of optimising for a flashy pitch-deck. Funding scarcity builds a level of resilience and operational hustle that a huge seed round could never teach.
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Junior
Junior@itstheinfamous·
@dan__rosenthal Good marketing requires deep research into a million tiny variables about the target audience, the market data, the competition etc. A single AI chatbot just can’t consume enough context to do the job correctly in a single pass
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Dan Rosenthal
Dan Rosenthal@dan__rosenthal·
AI alone isn't creative enough to do great GTM. I know this from overseeing 250+ GTM motions using it across the last year. Agencies replacing humans with fully autonomous AI workflows are building the WORST performing outbound motions anyone has run in a decade. What’s actually working: Using AI to replace the grunt work. - List building - Enrichment - Research - Deduplication - Draft copy - The boring sequencing layer underneath. Let humans do what humans are still better at. - Judgement calls on the angle for a given vertical. - Deciding which Tier 1 account deserves a custom play this quarter. - Deciding which signal is actually worth chasing on a given week. Maximize creativity at the top of the funnel, automate the rest underneath it. This is what the 10x companies are doing right now.
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Codie Sanchez
Codie Sanchez@Codie_Sanchez·
A new rule I run at our company... you have to earn the right to get your AI subscription paid for. You don’t get it free out the gate. Show me what it produced first, ROI it drove, how much time it saved. Then I'll cover the bill. Free AI creates zero incentive to get good at it.
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Kalshi
Kalshi@Kalshi·
JUST IN: Trump says he "does not" view Anthropic as a national security threat
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Cody Schneider
Cody Schneider@codyschneider·
who's building this "ai lead generation"
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