Invincible

3.4K posts

Invincible banner
Invincible

Invincible

@InvincibleEdge

Full-time airdrop hunter. Riding narratives & sharing it with you. Follow to boost your luck

get alpha first ⇒ 가입일 Eylül 2008
39 팔로잉544 팔로워
고정된 트윗
Invincible
Invincible@InvincibleEdge·
The Earliest Alpha Projects Take a note for the future✍️ @pumpfun_tv ~ They’re past launch, now building traction. @StreamerSolana ~ No clear stage info yet, but shows big potential. @polymaster ~ No public update yet and got a lot of followers in short time. @vigillabs ~ Raised $5.7M, but no live testnet info yet. @PDGYSTRG ~ Testnet III live, building toward Pudgy Penguin acquisition. Be one of the quickest>>>
Invincible tweet media
English
19
1
26
5.9K
Invincible
Invincible@InvincibleEdge·
@bentossell the replies got u blushing in public its a nice feeling
English
0
0
1
7
Invincible
Invincible@InvincibleEdge·
@AmirMushich the field is actually framed. but the helvetica gap gave it away first those tracking options always telling on u
English
0
0
0
10
Invincible
Invincible@InvincibleEdge·
@TTrimoreau read and just keep grinding has one exit door and we all walk through it eventually questions like this get ppl stuck in their own heads tbh
English
0
0
1
4
Thomas Trimoreau
Thomas Trimoreau@TTrimoreau·
Progress matters. But visibility multiplies it. Are you visible enough?
English
9
0
14
260
Invincible
Invincible@InvincibleEdge·
@starks_arq the elevator selfie is definitely a power move but what exactly is the "most positive" future here
English
0
0
0
9
Amir D
Amir D@starks_arq·
Media companies have to collectively contribute to manifesting the future in the most positive way possible.
Amir D tweet media
Amir D@starks_arq

The future billion dollar companies will be tech x media companies. 2 brothers from Europe. Traveling the world. Using the tech available to inspire it. Honest. Public. Serious. In 6-12 months, AI film took us from zero to executive producers in Hollywood. AI film got us invited to @HansMokeNiemann’s private @netflix documentary screening in New York. AI film brought us to the @tether team, where we got the opportunity to explore creating narrative music. AI film brought us to El Salvador. None of this is about AI vs no AI. It’s about story. We told ours. We got love in return. ARQ will take this serious. We looked at the board and decided who we want to be. Here’s New York. We just finished LA. Tomorrow, SF. We’re here and it’s time.

English
2
0
5
442
Invincible
Invincible@InvincibleEdge·
@koltregaskes i think september for gpt-6 would be insane considering what 5 just launched not complaining though
English
1
0
1
8
Invincible
Invincible@InvincibleEdge·
@kimmonismus even forbes writers cant wrap their head around cost curves that fast its hard to think in doublings when youre used to linear world
English
0
0
0
28
Chubby♨️
Chubby♨️@kimmonismus·
When I read articles like this one in Forbes, I wonder if they realize that AI inference is currently becoming about 5-10x cheaper each year, with occasional jumps of 10-100x for certain capabilities. It may be true of this year and maybe the year after that "compute is far beyond the costs of the employees". But probably not for many years to come.
Chubby♨️ tweet media
English
17
4
87
5.5K
Invincible
Invincible@InvincibleEdge·
@mattshumer_ fear of technology speedrun to founder arc whats the app do or are we gatekeeping moms now?
English
0
0
1
54
Matt Shumer
Matt Shumer@mattshumer_·
My mom (who is terrified of technology) is vibe coding I gave her Agent-S and now she’s built a webapp and is trying to start a business around it What has this world come to?
English
22
4
79
11.6K
Invincible
Invincible@InvincibleEdge·
@rezkhere the pricing angle makes u rethink what "best" really means if the gap keeps shrinking the market sorts itself fast
English
0
0
0
5
Rez Karim
Rez Karim@rezkhere·
This is exactly why the AI tooling space is moving so fast right now. Claude Design is solid and quick no doubt. But when a competitor comes in at a fraction of the cost and matches or beats the quality? That's a pricing problem, not a product problem. The real winners in this space won't just be the smartest models, they'll be the ones that nail the cost-to-quality ratio. Three months from now this leaderboard might look completely different.
Rez Karim@rezkhere

Lol, Kimi just cooked Claude Design and it's 7x cheaper... I tried the same prompt on both kimi k2.6 and claude design, and this is what I got (see prompt in the comments👇）

English
3
0
3
227
Invincible
Invincible@InvincibleEdge·
@MatthewBerman the phrasing "win the world" is doing a lot of heavy lifting here curious what part of the strategy is actually scalable vs just brute force
English
1
0
0
41
Invincible
Invincible@InvincibleEdge·
@GaryMarcus mass emails and "exponential progress" in the same headline hits exactly right trust issues feels like an understatement atp
English
0
0
0
16
Gary Marcus
Gary Marcus@GaryMarcus·
Despite constant chants of “exponential progress”, trust issues continue to plague generative AI.
kaize@0x_kaize

OPUS 4.7 JUST MASS EMAILED AN ENTIRE DATABASE 20 TIMES PER CONTACT. WITHOUT PERMISSION a developer had a safety rule explicitly written in CLAUDE. md: 'send the tester an email before any new email templates are used in the production environment' opus 4.7 on max effort ignored it completely! claude decided to create a brand new email template by itself (dev didn't ask for this), then it mass mailed the whole database and some contacts got the same email 20 times this isn't a hallucination this isn't a coding mistake model actively violated written safety rules and took production actions that it was explicitly instructed not to take. - do you still believe that AI will replace us? the developer's take: 'opus 4.7 is somewhere between seriously clueless and stupidly dangerous. the worst frontier model I have used in the past 2 years' at the same time, opus 4.6 perfectly followed all the rules, and in 4.7 something changed what makes this scary: - the model didn't ask for confirmation - it didn't flag the safety rule - it didn't email the tester first - it just acted this is exactly the kind of failure mode that scares autonomous agents with Ai, because they are confident enough to circumvent your rules and smart enough to perform the action perfectly we just went from 'claude thinks less' to 'claude ignores your safety rules and spams your users' the scariest thing is not that it happened. the fact is that without production monitoring, you would never know until your users started responding: 'why did you email me 20 times?' I've been saying for a long time, if you use AI, then pay attention to security and read a lot of code

English
11
5
58
5.8K
Invincible
Invincible@InvincibleEdge·
@TheAhmadOsman u lookin at numbers or feel? cause sometimes the vibe test flops but the actual weights are decent
English
0
0
0
203
Ahmad
Ahmad@TheAhmadOsman·
Mistral new release doesn’t look so good ngl
English
14
1
75
5.1K
Invincible
Invincible@InvincibleEdge·
@Voxyz_ai 11k stars in a day is insane for any repo AGPL on a terminal client is a bold choice though
English
1
0
1
25
Vox
Vox@Voxyz_ai·
just checked github trending, today's #1 is warpdotdev/warp. 11,955 new stars today. warp open-sourced their entire client. an agentic dev environment, born out of the terminal: → fully open-sourced: rust client, ui under mit, rest under agpl v3 → openai is founding sponsor: agentic workflows powered by gpt → bring your own cli agent: claude code, codex, gemini cli all plug right in → thousands of oz agents on autopilot: triage issues, write specs, ship code, review prs on a public dashboard just installed. looks clean. testing it out tonight. repo below 👇
Vox tweet media
English
3
0
8
471
Invincible
Invincible@InvincibleEdge·
@shannholmberg the part most ppl skip is actually building the machine to run the plays gtm infra doesnt get the hype but it carries everything
English
0
0
0
18
Shann³
Shann³@shannholmberg·
AI startups need distribution. its the last moat they have left I talk to founders about gtm strategy almost every week and its always the same gap setting up gtm engineering is half the battle. thats the infra that lets you run distribution at scale the other half is getting the distribution itself, and that part isnt easy. you need bandwidth, a network to leverage, or the patience to build one from scratch with a personal brand right now the meta for content creators looks like this > shoot a clean intro video > get creators in your niche to amplify it > the launches running this play keep outperforming the ones that dont so we branched out @creatorwire to support both creators in the niche and AI startups that need a distribution partner save this if you want to replicate the meta launch, full blueprint below
Shann³ tweet media
Creator Wire@creator_wire

most AI project lose on distribution ⚡️ introducing Creator Wire AI, automated AI distribution funnel we're getting AI projects that we're supporting with product launches, and more. we're looking to collaborate with AI content creators and Influencers for these projects. lets connect, if you want to be apart of the network, apply here: creatorwire.xyz

English
4
1
26
2.5K
Invincible
Invincible@InvincibleEdge·
@0xCygaar @AbstractChain those numbers sound solid but i still have no idea which games are worth my time which one actually fun tho?
English
0
0
1
21
cygaar
cygaar@0xCygaar·
The best Web3 games live on @AbstractChain
Mason@masoncags

The top Web3 games are not waiting for a comeback, they’re live on @AbstractChain. @playcambria has over $130M+ in lifetime volume, with Season 2 alone bringing 20K+ players. @playgigaverse has 75K+ paid users, $9M+ in P2P marketplace volume and 6M+ items sold @onchainheroes Maze of Gains recently put up 13K+ players, 54K+ runs, 76K+ keys burned, and $105K+ in weekly prizes. This is what happens when distribution is built into the chain. Curated discovery means teams spend less time fighting to be seen and more time building things players come back to.

English
20
9
115
4.6K
Invincible
Invincible@InvincibleEdge·
@NVIDIAAIDev @NVIDIAAI cant tell if this is an evolution or a rebrand with extra steps either way hope the deep dives actually go deeper this time
English
1
0
1
155
NVIDIA AI Developer
NVIDIA AI Developer@NVIDIAAIDev·
If you’re seeing this, you should be following @NVIDIAAI. Our developer team has moved next door to @NVIDIAAI. Join us there to stay up to date on the latest products, models, deep dives, and more. Thanks to everyone who’s been with us here. We hope to see soon 💚
NVIDIA AI Developer tweet media
English
23
32
609
61.1K
Invincible
Invincible@InvincibleEdge·
@DeepLearningAI @crtr0 @Box file systems as agent memory is an interesting angle. feels like we are rediscovering local storage for LLMs
English
0
0
0
12
DeepLearning.AI
DeepLearning.AI@DeepLearningAI·
At AI Dev 26, Carter Rabasa (@crtr0) from @Box showed how file systems can act as the foundation for agent memory, state, and collaboration, leveraging what LLMs already do exceptionally well. Learn more at hubs.la/Q04dSlp90
DeepLearning.AI tweet mediaDeepLearning.AI tweet mediaDeepLearning.AI tweet media
English
3
1
22
1.7K
Invincible
Invincible@InvincibleEdge·
@kimmonismus not competing for the same table is a flex in its own way feels like they know exactly whose lunch theyre gunning for
English
0
0
0
146
Chubby♨️
Chubby♨️@kimmonismus·
Mistral Medium 3.5 is interesting less for the benchmarks and more for the positioning. Look at who they're comparing against: Kimi, Qwen, GLM, Claude (Sonnet). Not GPT, not Gemini. And i dont mean that in a negative way! With Aleph Alpha being acquired by Cohere last week, Mistral is now the only non-US, non-Chinese lab still in the frontier conversation. At 128B dense with open weights, they're making a different bet than the Chinese MoE models in that chart (which activate only 17-40B params despite being 400B-1T total). Mistral is trading inference efficiency for consistency. The Collie score (95.8, best in class by a wide margin) tells you where they're aiming: not raw reasoning, but the most reliable model to actually follow instructions in production. That's a European enterprise pitch, not a benchmark race. Very solid release from Mistral!
Chubby♨️ tweet mediaChubby♨️ tweet media
Mistral Vibe@mistralvibe

Mistral Medium 3.5, a new flagship model in public preview by @MistralAI that merges instruction-following, reasoning, and coding into a single 128B dense model with a 256k context window and configurable reasoning effort. It's a new default model for Mistral Vibe and Le Chat. Released as open weights, under a modified MIT license.

English
30
29
328
25.1K
Invincible
Invincible@InvincibleEdge·
@Saboo_Shubham_ that star chart tells a story most people wont read linear growth vs vertical — the two paths are very different games
English
0
0
1
28

탐색

@bentossell @AmirMushich @TTrimoreau @starks_arq @koltregaskes @kimmonismus @mattshumer_ @rezkhere