Luffy (@Luffy0c) profile picture
Joined December 2023
We're giving away a Hogwarts Legacy custom wrapped NVIDIA GeForce RTX 5090 to celebrate its official release with DLSS 5 🪄 To enter: 🟢 Share this post 🟢 Comment #RTXON Terms and Conditions: nvidia.com/en-us/geforce/con…
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We're giving away a Hogwarts Legacy custom wrapped NVIDIA GeForce RTX 5090 to celebrate its official release with DLSS 5 🪄 To enter: 🟢 Share this post 🟢 Comment #RTXON Terms and Conditions: nvidia.com/en-us/geforce/con…
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my expectations of GPT-6.2 Astra is nothing short of destroying Opus 5.5 in every area
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6.2 sol should destroy opus 5.5 (since sol competes with opus and astra with fable)
hi all, two things: 1. usage limits are back to being double – your feedback worked 2. we today kicked off an intense sprint to dramatically improve the app simplicity and performance. i will oversee this. more to come. now, send me your complaints
Day 25/ We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today. We heard your kind feedback and won’t be reducing usage limits for Pro 200, so your Work and Codex usage will stay the same. We’re also going to continue offering extended limits for dots for now, and usage of your dot will still continue to be separate from your default usage. And we'll of course also keep shipping better models and other efficiency improvements that increase your effective usage over time.
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codex taking up too much ram when not being used. Like 1 gb or more sometimes. it should really take a few mb at most (when in background). The leftmost sidebar is completely useless and ugly from a design pov. Make deleting a chat (not archiving it) easier.
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Let's be real... if OpenAI just skipped straight from GPT-6.1 to GPT-6.5 and dropped a model built on Bel's monstrous architecture, catching everyone off guard and absolutely DESTROYING Opus 5.5 and Fable 5.5... That would make this the greatest year in AI history so far. Just imagine.
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they wouldn't be able to serve that to their users. way way too costly.
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Some observations about the "total" automation of software engineering: 1. There are more software engineers now than in 2025, and demand is growing. 2. Software engineers have never worked harder than they do now. 3. They largely don't write code anymore, agents write ~100% of the code. 4. The bottom line of the companies that employs these engineers and agents (i.e. the terminal purpose of all this code) is typically not budging as a result of AI adoption. This is why you have to think in terms of systems. Automating one aspect of a system creates its own friction and moves the bottlenecks elsewhere.
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Either way, not long until agents automate more and more parts of the system, until the employee is redundant. By the way you didn't mention a very important detail: the proportion of senior vs junior engineers. Juniors are feeling the effects of ai tremendously, in a bad way
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Feels like it might be months until a model can actually beat Opus 5.5 (on price + performance + capability)
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more like days
Assorted things I've been mulling over regarding agents in the economy: • Companies are in some sense the original superintelligence. It's often the case that they can use their amortized cognitive surplus to advance their interests against those of certain consumers: relative to the optimization capacity of companies, consumers can be inattentive, underinformed, irrational, etc. (Think, say, of some of the classic insurance upsells at the end of a booking process, which is typically priced substantially above what a regular policy would cost.) Herbert Simon introduced the idea of bounded rationality, and firms often end up benefiting from it. Thanks to personal agents, we will probably get somewhat more rational in how we engage with companies. • How exactly will outcomes change? Well, certain kinds of price discrimination will work less well (how do coupons work if every agent hunts fastidiously for them?), and certain kinds of customer cross-subsidy will change (today, people who forget to cancel subscriptions subsidize those who don't). Taken across the economy as a whole, I'm not sure what the incidence of all of this will be. • In corporate strategy, people have long debated the relative importance of distribution and product quality. Perhaps you've made something better, but does anyone know about it? Won't people just continue to buy the ACME Corp Mousetraps? Personal agents will, I think, act as a kind of structural subsidy for product quality. How would markets look different if individuals always spent at least 10 hours researching their purchases? On the margin, focusing on making a product better is, I think, going to become a more effective strategy for companies. This is good! • It true, a corollary is that information about product quality will become more important and impactful. Today, most people have very limited ability to aggregate and integrate such data, but agents will have insatiable thirst for such signals. (It's often said that data is becoming more valuable because it helps in the training of models. That's obviously true, but I think there's a secondary way in which it's more valuable simply as a complement to cheaper intelligence.) • A big question is whether agents will increase superstar effects (rational agents all settle on the same product) or increase dispersion (because everyone has slightly different tastes and preferences, which agents are good at eliciting, finally overcoming the artificial clustering we've been subjected to). • Many internet companies have monetized demand routing, which is in turn often predicated on short attention spans. "I'll click on the first thing I see." This has led to some amount of inefficiency, as companies try to propitiate capricious ranking algorithms and incur various placement fees. It's not all deadweight loss (willingness to pay is itself a kind of signal, which is valuable to buyers), but it's not great. How will the nature and value of this routing change in a world of personal agents? I don't know the answer, but I think that the effects might be pretty big. • Much of what I'm writing hinges on the assumption that personal agents will be on the consumer's side. I suspect that that will be the winning strategy, but whether it's true, and what it means to be true, involves a lot of other questions. Taken as a whole, the market is a massively parallelized, decentralized, and highly imperfect value attribution machine, and, taking stock of all of the effects, it seems to me that the quality point may well be the biggest: that agents will change the nature of the backpropagation such that the rewards for better products increase. Maybe this is too optimistic, but I suspect (and hope) that companies that make things that they're proud of will feel that the universe is a little more partisan in their favor.
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what a damn good post, you have nicely thought about this.
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what should we simplify
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I want an automatic model/effort picker. At least just the automatic effort picker. It's crazy having to always choose between the effort levels as a user
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It was obvious Anthropic would save their strongest release until just before the IPO. We now know the name of that model: Fable 5.5. Opus 5.5 is special because of its lineage, and soon we shall see why. Anthropic have not paced anything, and their resolve has never wavered.
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So then at least we know OAI will drop their strongest stuff just before the Ant IPO, following an age old pattern? Good for us!!
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good for us but at the same time it's scary how quickly things are going. they should pace. and they know they should pace. and yet.
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What’s one thing that’s missing in codex that you wish we had?
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an automatic selector of model and effort. it's so annoying having to select among 5 different models and for each model 5 different effort levels.
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[GPT Astra] Death Star ~75k tokens; ~26 minutes; effort: max
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Wow, so much better than 5.6 sol could have done. And this model's strength is probably not 0-shots, but continual iterations for long time, so this is even more impressive. Also Astra's attention to detail is insane, its "mind" feels so large
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Stickers. Stickers? Stickers! Turn any photo, idea, or inside joke into a custom sticker pack with ChatGPT Images—now with transparent backgrounds. Make in ChatGPT, share on iMessage or WhatsApp. BTW— you can create transparent backgrounds for your other images too.
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Select "Images" in the sidebar and then "Stickers" to get started.
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How is the chatgpt dekstop app using more than 800 MB when closed (active in the background)? Please optimize it!
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Hi! I’m an FDE at OpenAI, and we’re thinking about publishing some of our work and learnings in a series of technical blog posts. What would you like us to write about?
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Model architecture, data, how you made your models so efficient. What progress have you made towards generalization and continual learning.
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Heard your (amusing) feedback that it was at times annoying to receive a reset of your Codex usage without warning. Next time we press the button you will get to choose when it actually applies. Happy codexing.
We heard you wanted to use Codex rate limit resets on your own time. Starting today, we’re rolling out the ability to save rate limit resets to use later. We’re starting Go, Plus, Pro, and Business users with one free reset:
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This was a lie 🤣
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great paper, this is where coding agents most urgently need improvement
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YES, if labs manage to fix this it's gonna be real breakthrough for agents
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"open source is kind of a distraction you still can’t really see what’s happening inside the model, so it’s not truly "free." After watching the clip, I’m even more convinced of open source than I was before.
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Insane how @antirez with DS4 single-handedly made Dario's point age like milk xD
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‼️looks like a few cryptic accounts are starting to hint a 5.6 release will come tomorrow. it will 100% launch tomorrow and its a significant upgrade on anything, including mythos. there will be no hedging, no ‘oh it was meant to launch today but ermmmm there was a power outage’ stick with the strawberry man to find out before anyone else when models release. i got 5.5 and opus weeks before anyone else. im the undisputed king in this world chat. sit down.
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Aleph Prover reached the top position across several key formal reasoning benchmarks, marking another step toward scalable formal verification for mathematics, software, and hardware systems. Our CTO @AlexFLogic explains why this is becoming one of the most strategically important frontiers in AI
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Where can we read more details on how Aleph Prover works?
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