This is 🔥🔥🔥 Nobody does product launches like the Apple. !!!
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Tim Cook@tim_cook
We brought Touch to the Mac!
From the all-new iPad mini to the 14-inch MacBook Pro and iMac... and now MacBook Pro with PROLED XDR Display and Touch, creators have new tools to do their best work yet.
We brought Touch to the Mac!
From the all-new iPad mini to the 14-inch MacBook Pro and iMac... and now MacBook Pro with PROLED XDR Display and Touch, creators have new tools to do their best work yet.
🎉 Customers are loving Cached Tokens on @nebiustf!
Here's how it works:
When you send a request, the inference engine checks whether the beginning of your prompt (the prefix) matches a prompt it processed recently.
If it does, it reuses the stored computation for that prefix instead of recomputing it.
The tokens served this way are cached tokens.
Prompts with a long, stable prefix benefit most, for example:
1. a repeated system prompt or set of instructions; tool and function definitions that are the same across calls;
2. few-shot examples or reference documents placed at the start of the prompt;
3. multi-turn conversations and agent loops, where each request repeats the earlier history.
For the right use-cases, cached tokens can bring down costs ~ 80% (tested with Deepseek V4.1 Flash 1017)
Cached tokens are now live on Nebius Token Factory⚡
Reusing context across requests?
Cached input can help reduce costs. See cached-token usage in API responses and billing, with pricing per model.
More info:
Cached tokens are now live on Nebius Token Factory⚡
Reusing context across requests?
Cached input can help reduce costs. See cached-token usage in API responses and billing, with pricing per model.
More info:
experimenting with a lil personal project: an AI-native macOS dock with custom modes (writing, building, etc.) to help me stay focused
my agent is able to customize mode behavior and add new modes, it uses jev to classify my activity + notifications in real time & act on them
experimenting with a lil personal project: an AI-native macOS dock with custom modes (writing, building, etc.) to help me stay focused
my agent is able to customize mode behavior and add new modes, it uses jev to classify my activity + notifications in real time & act on them
🔥 The most popular back! Unlimited OCR 2 by Baidu! 🎉
It's a 3B OCR model specialized for unlimited document parsing!
This is a demo of Unlimited-horizon parsing in full action: a full-length book parsed in a single request (replay).
Unlimited OCR 2 supports Transformers (native, for quick tests) and SGLang (recommended for serving).
Unlimited OCR 2 is now open source. 📖✨
Built for virtually unlimited document parsing, it combines Sparse Reference Sliding Window Attention (SR-SWA) with Unlimited-Horizon Decoding to focus computation on the most relevant visual references while releasing KV caches that are no longer needed.
Here’s what it delivers:
• Nearly constant per-step decoding latency and memory footprint as documents grow
• State-of-the-art results on MPDocBench and MarathonDocBench
• On 100-page documents, 7.0× faster per-step decoding than Full Attention and 5.6× faster than R-SWA, with strong parsing accuracy maintained on documents up to 300 pages
Explore it on GitHub. 👇
Unlimited OCR 2 is now open source. 📖✨
Built for virtually unlimited document parsing, it combines Sparse Reference Sliding Window Attention (SR-SWA) with Unlimited-Horizon Decoding to focus computation on the most relevant visual references while releasing KV caches that are no longer needed.
Here’s what it delivers:
• Nearly constant per-step decoding latency and memory footprint as documents grow
• State-of-the-art results on MPDocBench and MarathonDocBench
• On 100-page documents, 7.0× faster per-step decoding than Full Attention and 5.6× faster than R-SWA, with strong parsing accuracy maintained on documents up to 300 pages
Explore it on GitHub. 👇
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
GPT-6.1 Terra: delivering fast and capable computer use at a lower price.
GPT-6.1 Terra understands what’s on screen, takes action across apps, writes naturally, and is a more capable model for your whole workday with the efficiency to take on more of it.
BREAKING: Anthropic officially files its S-1 registration statement for an IPO, seeking to list on the Nasdaq under the ticker symbol $ANT.
FULL SUMMARY OF ANTHROPIC'S S-1 FILING:
1. Anthropic posted H1 2026 revenue of $16.3 billion with a net loss of $80.7 billion
2. Anthropic says it does not expect to pay a dividend "in the foreseeable future"
3. Expects to spend up to $120.5 billion on SpaceXAI and Nvidia compute
4. Expects to spend up to $114.5 billion with Google through 2033
5. Revenue growth rate "may not be sustainable" and "may decrease"
6. May be required to seek additional financing "sooner than expected"
7. 5% of Anthropic's shares will go to the "Anthropic Public Benefit Fund"
8. S-1 includes warnings of AI's "catastrophic existential risks to humanity"
Markets currently expect Anthropic to raise as much as $100 billion at a valuation of ~$2 trillion.
The company is reportedly targeting an IPO in the week of November 16th.
BREAKING: Anthropic officially files its S-1 registration statement for an IPO, seeking to list on the Nasdaq under the ticker symbol $ANT.
FULL SUMMARY OF ANTHROPIC'S S-1 FILING:
1. Anthropic posted H1 2026 revenue of $16.3 billion with a net loss of $80.7 billion
2. Anthropic says it does not expect to pay a dividend "in the foreseeable future"
3. Expects to spend up to $120.5 billion on SpaceXAI and Nvidia compute
4. Expects to spend up to $114.5 billion with Google through 2033
5. Revenue growth rate "may not be sustainable" and "may decrease"
6. May be required to seek additional financing "sooner than expected"
7. 5% of Anthropic's shares will go to the "Anthropic Public Benefit Fund"
8. S-1 includes warnings of AI's "catastrophic existential risks to humanity"
Markets currently expect Anthropic to raise as much as $100 billion at a valuation of ~$2 trillion.
The company is reportedly targeting an IPO in the week of November 16th.
I asked Opus 5.5 to give me the top 10 critical points!
0. "a country of geniuses in a data center"
Anthropic says it is working toward Claude handling open-ended tasks that last days or weeks, with millions of AI “Virtual Collaborators” running in parallel. The filing calls the end result “a country of geniuses in a data center,” available to every organization.
1. The growth curve
Anthropic's revenue went from $41M in 2023 to $386M in 2024 to $4.59B in 2025, and hit $16.3B in just the first half of 2026, versus $1.16B in H1 2025. That's about 14x year over year.
2. Customers keep spending more
Net Revenue Retention was roughly 900% as of Sept 30, 2026. On average, existing customers are spending about 9x what they spent a year ago. For context, strong SaaS companies usually report 110–130%.
3. Big customers
As of Sept 30, 2026, over 11,900 customers spent $100K+, over 1,900 spent $1M+, and about 250 spent $10M+ on a trailing-twelve-month basis.
4. Revenue is growing faster than compute costs
In Q2 2026, revenue grew 1,368% year over year while compute and infrastructure expenses grew 300%. That gap is the core of the bull case.
5. Profitable on an adjusted basis
Adjusted operating income flipped from a $4.85B loss in 2025 to a $1.6B profit in H1 2026, a 10% adjusted margin. On a GAAP basis, the operating loss narrowed from $8.06B to $693M.
6. The $80B loss explained
The H1 2026 net loss was $80.7B, but $72.4B of it came from changes in the fair value of convertible notes and similar instruments, driven mostly by the company's rising valuation. In other words, much of the loss is non-cash and comes from the company being worth more.
7. Revenue per employee
Trailing-twelve-month revenue per employee was over $6.6M as of Sept 2026, up from $1.4M a year earlier. The company says this is partly because its teams use Claude extensively in their own work.
8. Anthropic’s AGI-style prediction
The S-1 says Anthropic expects “Powerful AI” to be widely available within a few years. It describes this as AI that matches or beats top human experts in most professional and scientific fields, can work on its own for hours, days, or weeks, coordinates with other AI systems, and can operate lab equipment and robots.
9. Equity set aside for public benefit
Anthropic put 5% of its fully diluted shares into a Public Benefit Fund. The board can add up to another 2% each time the stock rises 50% above its previous milestone, and each co-founder has pledged 80% of their personal equity to philanthropy.
10. A notable risk factor
The filing warns that using Claude to build future Claude models could make capabilities advance faster than safety measures can keep up. It also says the company has delayed or limited releases before, citing Mythos and Project Glasswing, and may do so again even if it hurts competitiveness.
Bonus:
Anthropic has raised $141.1B in total and held about $131.7B in cash and short-term investments as of June 30, 2026. Sales and marketing spending jumped from $120M in H1 2025 to $3.17B in H1 2026. NASA engineers used Claude Code to plan the first AI-planned drive of the Mars Perseverance rover.
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Anthropic@AnthropicAI
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.
Read more:
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.
Read more:
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
Anthropic has filed an S-1 registration statement with the SEC related to its proposed IPO.
Read more:
Legal disclaimer: A registration statement relating to these securities has been filed with the SEC but has not yet become effective. These securities may not be sold, nor may offers to buy be accepted, prior to the time the registration statement becomes effective. This post does not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.
if you have a qwen3.5 4b around, please try steering neurons L14 N8949 +1 and L13 N7956 -1
now you have evil qwen
recipe: dose × median(‖resid‖ leaving layer L, tokens 1:) / ‖W_down[:, n]‖` at the down_proj at every input
if you have a qwen3.5 4b around, please try steering neurons L14 N8949 +1 and L13 N7956 -1
now you have evil qwen
recipe: dose × median(‖resid‖ leaving layer L, tokens 1:) / ‖W_down[:, n]‖` at the down_proj at every input
Introducing Carbon-X: The best open DNA model.
We midtrained a 14B model on DNA and text, and it beats every open language model and matches GPT-6.1 Sol at 1,000x lower cost.
Ask it about a sequence, what a mutation does, or to generate new DNA.
Introducing Carbon-X: The best open DNA model.
We midtrained a 14B model on DNA and text, and it beats every open language model and matches GPT-6.1 Sol at 1,000x lower cost.
Ask it about a sequence, what a mutation does, or to generate new DNA.
Seriously, why are the chinese good at everything?
I mean they've got the highest tiktok users, yet their kids are so good at studies.
Consuming slop, but producing great stuff.
They are amazing at Math, CS, Robotics, Electronics.
It's insane the amount of talent that i've been witnessing and i'm finding answers!
RT @amrstech: OMG 😱 @fal really cooked with this one ! Just with text-to-video , it was very easy to create a simple ad with FLUX 3 Max !!
Try it now !
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fal@fal
Introducing FLUX 3 Max, the latest post-trained video model from fal Research in partnership with @bfl_ai.
FLUX 3 Max is tied for #1 in image-to-video quality on independent third-party benchmarks, generating a 10-second, 720/768p video in ~12 seconds.
For the next three weeks, FLUX 3 Max is 75% off, making it the most affordable frontier video model at its quality level.
Introducing FLUX 3 Max, the latest post-trained video model from fal Research in partnership with @bfl_ai.
FLUX 3 Max is tied for #1 in image-to-video quality on independent third-party benchmarks, generating a 10-second, 720/768p video in ~12 seconds.
For the next three weeks, FLUX 3 Max is 75% off, making it the most affordable frontier video model at its quality level.
Finally someone's using AI to find possibilities to cure Cancer!
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Tanishq Mathew Abraham, Ph.D.@iScienceLuvr
Cancer patients with the same diagnosis often have very different tumor biology.
Molecular testing can reveal underlying differences, but that's slow and expensive.
Introducing Holon-S1, our platform to predict genes and biomarkers from routine pathology slides.
• beats two other models at predicting spatial gene activity in a controlled comparison
• has identified potentially novel biomarkers in breast cancer and colon cancer
• evaluated across 16 organ types and more than 15 scanners, using slides from both formalin-fixed, paraffin-embedded and fresh-frozen tissue.
We believe Holon-S1 has the potential to help researchers find new biomarkers in slides they already have, discover treatment targets, and bring more personalized cancer care within reach!
Cancer patients with the same diagnosis often have very different tumor biology.
Molecular testing can reveal underlying differences, but that's slow and expensive.
Introducing Holon-S1, our platform to predict genes and biomarkers from routine pathology slides.
• beats two other models at predicting spatial gene activity in a controlled comparison
• has identified potentially novel biomarkers in breast cancer and colon cancer
• evaluated across 16 organ types and more than 15 scanners, using slides from both formalin-fixed, paraffin-embedded and fresh-frozen tissue.
We believe Holon-S1 has the potential to help researchers find new biomarkers in slides they already have, discover treatment targets, and bring more personalized cancer care within reach!