Ridhvik Gopal (Vik)

36 posts

Ridhvik Gopal (Vik)

Ridhvik Gopal (Vik)

@ridhvikgopal

Katılım Mart 2025
46 Takip Edilen2 Takipçiler
🍓🍓🍓
🍓🍓🍓@iruletheworldmo·
i've been blown away by the codex app, it seems everyone has but what comes next week is even better the openai team have been incredibly locked in for months and we're tasting the fruits expect weeks of pure joy.
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@haider1 I'm not sure benchmarks are a great indicator of model size. They have a new tokenizer. Possible that they have a new, slightly larger base model after learning something from the Mythos pretraining. Maybe Opus 5 will be a refined version of 4.7 with new post training techniques
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Haider.
Haider.@haider1·
from what i understand, anthropic won't release 'mythos' anytime soon opus 4.7 is probably a smaller model, which would explain the lower benchmarks in some areas that is a good thing, because anthropic can't serve opus 4.6 with the amount of compute they have right now
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@abhishekray Thoroughly enjoyed reading this. Thanks! Is it possible they have a new base model too? Seems like with Mythos they did a big pre-training run. Maybe they learned something and are slightly scaling up their Opus model as well?
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🍓🍓🍓
🍓🍓🍓@iruletheworldmo·
t- 20 minutes.
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@bcherny @eliebakouch “stacks random distractors to "trick" the model, unlike real long-context use (e.g., code/docs).” Isn’t it a good thing that the model cannot be distracted and isn’t it a good indication of quality- actually understanding the long context enough to not be distracted/confused?
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Boris Cherny
Boris Cherny@bcherny·
👋 We kept MRCR in the system card for scientific honesty, but we've actually been phasing it out slowly. Two reasons: (1) it's built around stacking distractors to trick the model, which isn't how people actually use long context, and (2) we care more about applied long-context capability than needle-retrieval. Graphwalks is a better signal for applied reasoning over long context, and internally we've seen this model do really well on long-context code. MRCR wasn't included in the Mythos Preview system card for these reasons, but Graphwalks was - that will be the case for future models too.
Boris Cherny tweet media
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Ridhvik Gopal (Vik) retweetledi
AiBattle
AiBattle@AiBattle_·
Opus 4.7 (Max) and Opus 4.6 (64K) scores on the MRCR v2 (8-needle) context benchmark 256K: - Opus 4.6: 91.9% - Opus 4.7: 59.2% 1M: - Opus 4.6: 78.3% - Opus 4.7: 32.2%
AiBattle tweet media
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@LexnLin Again? Has he ever been right? All these guys do is tweet “it’s coming tomorrow” every single day. A broken clock
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@Postulix96 @synthwavedd You do know most of these “influencers” are just capitalizing on your engagement right? They keep tweeting “it’s coming tomorrow” vaguely and when something comes, they’ll say “see I told you so!”
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leo 🐾
leo 🐾@synthwavedd·
openai might've fixed their frontend problem but by having gpt-image 2 generate the UI and 5.5 turn it into code 5.5 is surprisingly good at getting very close to the image
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@christiangori96 *clears throat* “They say AI killed LinkedIn. I’m pleased to announce that I disagree. It exposed the lazy. While you complain about bots, I’m leveraging LLMs to 10x my authentic empathy and scale my vulnerability and learn lessons on B2B marketing” /s
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kache
kache@yacineMTB·
anthropic 5 milliseconds after openai releases their next model: "hey actually guys mythos is available in GA now haha please use it"
kache tweet media
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@Vera28765582815 @TheRealAdamG They’ve designed it to be steerable and great at instruction following. The downside is that for this model, that means it’s like a smart toddler that needs to be told EVERYTHING and how to do it, and becomes bad at inferring intent from context.
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Moira
Moira@Vera28765582815·
@TheRealAdamG 5.4 isn’t great at understanding what the question is or what would be the most helpful. But once it start working on the right task can it be good!
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Adam.GPT
Adam.GPT@TheRealAdamG·
You know what’s not dumber? GPT-5.4.
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@thsottiaux Is there any difference in usage for accessing the 5.4 pro model in the $100 vs $200 tier in ChatGPT? The terms are silent on this, but a lot of people would like to know.
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Tibo
Tibo@thsottiaux·
5.4-Pro is available in chat.com
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Tibo
Tibo@thsottiaux·
Imagine the alternate reality where we named GPT-5.4-Pro something like Fable.
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Tibo
Tibo@thsottiaux·
Hi! Getting a lot of questions on Pro plan rate limits, so I wanted to clarify a few things: - Your Pro $100 plan includes at least 10x Plus usage, till May 31 with the 2X usage boost. - Your Pro $200 plan includes at least 20x Plus usage, till May 31 with the 2X usage boost. This is also the SAME usage this plan had since the 2x promo in February; we previously didn't document this explicitly. Now to address the confusion. Our pricing page says "5x or 20x usage", and many of you very understandably took it to mean "10x and 40x" given then 2X usage boost. That's our fault. We mixed up two things in a confusing way on that page - (1) sharing that the Pro $100 launched with a 2x boost, making it 10x Plus till May 31 and (2) sharing that Pro $200 retained its 2x boost and sharing for the first time that this equates to 20x Plus. We're going to update our pricing pages to make this clearer. Sorry it wasn't as clear as it should have in the first place.🫥
am.will@LLMJunky

There seems to be some confusion on what ChatGPT plans give you, and what bonuses are active right now. I got you. ChatGPT Plus $20 = 1x NO ACTIVE BONUS ChatGPT Pro Lite $100 = 5x with a 2x Bonus (10x) ChatGPT Pro $200 = 20x with a 2x Bonus (40x) The bonus is ONLY for Pro plans. It includes BOTH $100 & $200 Tiers They both end May 31st. THANK YOU FOR YOUR ATTENTION TO THIS MATTER. SIGNED AMW

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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@theo @khan_kilo The gap between top performers and average ones is widening into a visible class divide...just like everywhere else. I hope we build safety nets so no one gets left behind.
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Theo - t3.gg
Theo - t3.gg@theo·
There's pretty much no reason to hire a mid tier developer now
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Thariq
Thariq@trq212·
I want to do some streams where I work with non-technical people using Claude Code to figure out how they might be able to improve their process. My feeling is that just a few tips could make a big difference in efficiency. Any mutuals interested?
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@Angaisb_ Yeah, but “usage allowance” could also mean access to the Pro model on ChatGPT. There is no clarity in usage difference between the two tiers there
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Angel 🌼
Angel 🌼@Angaisb_·
There is also nothing about it in the FAQ, just this: "Both Pro plans include the same core capabilities. The main difference is usage allowance: Pro $100 unlocks 5x higher usage than Plus (and 10x Codex usage vs. Plus for a limited time), while Pro $200 unlocks 20x usage than Plus."
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@OpenAI How is usage defined in the Pro model? I really like that to make my money expense budgets financial models and fun research questions, but there is no guidance on the difference in usage between pro 100 and 200, for the GPT-Pro model.
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OpenAI
OpenAI@OpenAI·
We’re updating our ChatGPT Pro and Plus subscriptions to better support the growing use of Codex. We’re introducing a new $100/month Pro tier. This new tier offers 5x more Codex usage than Plus and is best for longer, high-effort Codex sessions. In ChatGPT, this new Pro tier still offers access to all Pro features, including the exclusive Pro model and unlimited access to Instant and Thinking models. To celebrate the launch, we’re increasing Codex usage for a limited time through May 31st so that Pro $100 subscribers get up to 10x usage of ChatGPT Plus on Codex to build your most ambitious ideas.
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Ridhvik Gopal (Vik)
Ridhvik Gopal (Vik)@ridhvikgopal·
@ShaneLegg @ishanhaq I read Tick-Tock-tick-tock-Bing couple of month ago and discussed with a colleague about how you pretty much nailed it! Love it when leaders in AI are scientists and engineers first and 'management-consultants' only when absolutely necessary.
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