@squ925i
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Easy english.
We believe we gave you smarter models. They take 2 times less to solve a problem.
So we giving you twice less usage.
Thank you
Hi,
Tomorrow we are re-opening the Pro $200 subscriptions to new subscribers, but together with it we are also changing how we calculate the usage for it. In effect, if you do the math, it will net out at half the dollar in API spend compared to the old Pro $200 plan.
Now that it's said, let me explain why this is happening and why you will still get more work done than if you were on the Pro $200 subscription one month ago.
(a) We didn't want to compromise in other ways and are committing to not reintroducing the 5h limit, so that you can fully use the weekly usage when you want.
(b) On the subscription, we guarantee that over time you always get more work done and with an increasing level of quality. This means that you will continue to get more value per dollar spent as a result of models getting more efficient and us passing down the improvements in the form of API price reductions.
(c) We don't want to put an incentive on ourselves to artificially inflate the API list prices to make it look like you are getting a lot (and workaround it through discounts, etc). Instead we want to continue to both rapidly reduce prices and increase capabilities of models on the API. This week we introduced GPT-6 Sol and GPT-6 Luna at 50% of their previous price. Over time, we see prices go low enough that it makes sense for most to buy usage as needed without there being a significant gap between what you get in a subscription and what you get in the API for a dollar spent.
(d) Tomorrow, we are adding more things to the subscription that won't draw on the usage, I won't reveal what that is yet.
I wanted to be transparent before all the big announcements tomorrow. Lots of new exciting things are coming to the subscriptions that will make it super compelling, but I wanted to make sure to share this change ahead of time so you can all understand it before we shower you with good news.
Codexingly,
Tibo
If a box sells for $20 and the product plus postage cost $10, I haven't made $20. And I still haven't paid to find the customer.
I walk through the numbers here: youtube.com/watch?v=ookFAQ-z…
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The two versions: youtube.com/watch?v=cnxoH_Ol…
I asked @typesafeai's JEV to help reduce the work of reviewing this video.
56 sections. 30 answers. 26 overload errors. Nothing met the discard threshold.
I still had all 56 to review.
Full breakdown: youtube.com/watch?v=z2Eb_U0r…
Repurpose copied my Instagram caption into a YouTube title. The same words didn't work there.
I show that mistake, plus how I used @buffer to repost an older Reel, here: youtube.com/watch?v=f5RK2yeu…
I was supposed to learn HTML. Then I found a desktop pet and decided it belonged on my keyboard.
I don't know coding, but I got Rick and Morty onto that little screen.
Shout out to Nguyễn Thành Đạt for AgentPet:
github.com/ntd4996/agentpet
Full video: youtu.be/55WWJ02Qhts
I thought 6 % 2 meant take 2 away from 6. Python said 0.
That took me a minute. I'm learning on @codedex_io, and I left the confusion in.
The session: youtube.com/watch?v=t7WkQMa1…
I asked Qwen about JEV, then opened the reproduction it led me to.
It's @harshagundal's Qwen-based project. I didn't establish that it matches @typesafeai's JEV.
The question, the answer and my reaction: youtube.com/watch?v=z2Eb_U0r…
I'm a pro basketball player learning this as I go.
I gave @bot 3 jobs: livestream notes, Reddit research and a code review.
buy into this. @elonmusk and @grok cooked.
This video is larger than Cloudflare's 512 MB cache, so it can't be played through. More donations are needed to cover a larger cache. Donate
Bro this is…
Idk the word tbh
We're publishing our most detailed threat intelligence report to date.
It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them.
We disrupted every operation in the report, and used the lessons from them to strengthen our safeguards. Where appropriate, we also shared what we found with authorities and other AI companies.
These cases are not typical: we’re highlighting some of the most sophisticated misuse we’ve seen. But they’re especially important to discuss, because they show us where AI misuse is headed, where our safeguards work, and where they need to improve.
We’re publishing this report so others can spot the same activity on their own platforms, and so we can give the public a clearer view of how emerging threats develop.
Read the report: anthropic.com/threat-intelli…
Great analysis
Breaking my X hiatus because this is fascinating. I ran threat disruption at Meta for 8 years, where we routinely released reports like the Anthropic report out today. It’s noteworthy that Anthropic is being this transparent, and they deserve credit if we want this level of visibility into AI companies going forward. Here's what stood out to me, and where I'd push back. 🧵