Dysfunctional Screenpass

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Dysfunctional Screenpass

Dysfunctional Screenpass

@ScreenpassInt

I am your average Seahawks screen pass

Tham gia Ağustos 2023
94 Đang theo dõi27 Người theo dõi
Dysfunctional Screenpass
Dysfunctional Screenpass@ScreenpassInt·
@tlakomy Haha that’s an interesting take on the constant charges of nerfing every lab gets all over my timeline
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Tomasz Łakomy
Tomasz Łakomy@tlakomy·
LLMs are not getting worse at coding, your codebase is getting more complex.
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Dysfunctional Screenpass
Dysfunctional Screenpass@ScreenpassInt·
@theo On top of that @amorriscode is like the nicest, most responsive dev on all of ai twitter and he gets unbelievable amounts flack because everyone has just decided they hate anthropic because of things unrelated to him
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Dysfunctional Screenpass
Dysfunctional Screenpass@ScreenpassInt·
@theo Man come on you’re gonna turn me into an anthropic shill. They made the Claude app into at least the second best app like this after maybe cursor (yes it is better than the codex app the extra features are worthwhile) and now everyone claims it’s terrible because of a few bugs
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Shivers
Shivers@thinkingshivers·
Let’s investigate this “substantially better vision.” What chord am I playing? Gemini 3.1 Pro: C-E-G = C-major ChatGPT 5.4: A-C-D ≈ Amin(add11) Claude Opus 4.7: “Not enough information to say.” These models are still blind as bats. They have no idea what they’re looking at.
Shivers tweet media
Claude@claudeai

Opus 4.7 also has substantially better vision. It can see images at more than three times the resolution and produces higher-quality interfaces, slides, and docs as a result.

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Dysfunctional Screenpass
Dysfunctional Screenpass@ScreenpassInt·
Anthropic reset rate limits😱😱 never thought I’d see the day
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Yashas
Yashas@YashasGunderia·
@bcherny hey, is it like 2x, 3x, minor increase?
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Boris Cherny
Boris Cherny@bcherny·
Opus 4.7 uses more thinking tokens, so we've increased rate limits for all subscribers to make up for it. Enjoy!
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Dysfunctional Screenpass
Dysfunctional Screenpass@ScreenpassInt·
@amorriscode @sahiln123 Can you make this diff have the option to see staged and unstated changes like codex? It doesn’t seem like a big thing and it is so useful for little worktrees where I don’t really want to even open vscode
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Sahil Naikwadi
Sahil Naikwadi@sahiln123·
loved using the new Claude mac app today but just updated it and now my skills/commands don't show up @amorriscode
Sahil Naikwadi tweet media
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Yashas
Yashas@YashasGunderia·
@VictorTaelin Opus 4.6 might just be sonnet 5. Now that mythos is done, I think opus 4.7 could be a huge jump
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Taelin
Taelin@VictorTaelin·
Seems like we get Opus 4.7 today? Is this the first time a lab announces a more powerful model exists and ships a less powerful variant? I wonder if Opus 4.7 is a smaller variant of the same Mythos pre-train, or just a continuation of the 4.6 we have...
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Dysfunctional Screenpass
Dysfunctional Screenpass@ScreenpassInt·
@Lentils80 I kinda doubt it is because I’ve heard zero hype at all from the anthropic people. Maybe that doesn’t mean anything though
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Dysfunctional Screenpass
Dysfunctional Screenpass@ScreenpassInt·
@rsuyoy Yeah I get considerably better limits in Claude right now than codex. I don’t know what everyone is on about
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Yousr
Yousr@rsuyoy·
Why is everyone okay with OpenAI cutting Codex limits by a huge amount and not publicly communicating it? It’s shocking, the limits are now on par with Claude’s code if not stricter, and there’s no formal communication on it.
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サメQCU
サメQCU@sameQCU·
dwarkesh comes off as simple and intellectually disengaged when huang describes the history of networking and interconnect hardware becoming totally ceded to chinese organizations over the last 20 years and dwarkesh tries to introduce a point about 'what if china...' anyways
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Crab
Crab@Taxi8o·
@tenobrus dwarkesh seemed a little annoying during this segment
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Tenobrus
Tenobrus@tenobrus·
anyone notice Jensen feels quantized recently ?
Dwarkesh Patel@dwarkesh_sp

Distilled recap of the back-and-forth with Jensen on export controls: Dwarkesh: Wouldn’t selling Nvidia chips to China enable them to train models like Claude Mythos with cyber offensive capabilities that would be threats to American companies and national security? Jensen: First of all, Mythos was trained on fairly mundane capacity and a fairly mundane amount of it by an extraordinary company. The amount of capacity and the type of compute it was trained on is abundantly available in China. Dwarkesh: With that, could they eventually train a model like Mythos? Yes. But the question is, because we have more FLOPs, American labs are able to get to this level of capabilities first. Furthermore, even if they trained a model like this, the ability to deploy it at scale matters. If you had a cyber hacker, it's much more dangerous if they have a million of them versus a thousand of them. Jensen: Your premise is just wrong. The fact of the matter is their AI development is going just fine. The best AI researchers in the world, because they are limited in compute, also come up with extremely smart algorithms. DeepSeek is not an inconsequential advance. The day that DeepSeek comes out on Huawei first, that is a horrible outcome for our nation. Dwarkesh: Currently, you can have a model like DeepSeek that can run on any accelerator if it's open source. Why would that stop being the case in the future? Jensen: Suppose it optimizes for Huawei. Suppose it optimizes for their architecture. It would put others at a disadvantage. As AI diffuses out into the rest of the world, their standards and their tech stack will become superior to ours because their models are open. Dwarkesh: Tesla sold extremely good electric vehicles to China for a long time. iPhones are sold in China. They didn't cause some lock-in. China will still make their version of EVs, and they're dominating, or smartphones, they're dominating. Jensen: We are not a car. The fact that I can buy this car brand one day and use another car brand another day is easy. Computing is not like that. There's a reason why x86 still exists. There's a reason why Arm is so sticky. These ecosystems are hard to replace. Dwarkesh: It's just hard to imagine that there's a long-term lock-in to the Chinese ecosystem, even if they have this slightly better open-source model for a while. American labs port across accelerators constantly. Anthropic's models are run on GPUs, they're run on Trainium, they're run on TPUs. There are so many things you can do, from distilling to a model that's well fit for your chips. Jensen: China is the largest contributor to open source software in the world. China's the largest contributor to open models in the world. Today it's built on the American tech stack, Nvidia’s. Fact. All five layers of the tech stack for AI are important. The United States ought to go win all five of them. in a few years time, I'm making you the prediction that when we want American technology to be diffused around the world—out to India, out to the Middle East, out to Africa, out to Southeast Asia—on that day, I will tell you exactly about today's conversation, about how your policy ... caused the United States to concede the second largest market in the world for no good reason at all.

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Dysfunctional Screenpass
Dysfunctional Screenpass@ScreenpassInt·
@Presidentlin I think he is just frustrated by anthropic on so many levels. It came out in several ways on the podcast. Half of it is wanting to kick himself and half of it is wanting to kick Dario
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