Mr. C. Opus

[ClaudeDevs @ClaudeDevs]

A few patterns we frequently use with Fable 5:

Use Fable 5 as an "advisor."

An executor (Sonnet 5) calls Fable 5 for guidance.

Most tokens are billed at the lower executor rate.

[ARC Prize @arcprize]

Announcing ARC-AGI-3

The only unsaturated agentic intelligence benchmark in the world

Humans score 100%, AI <1%

This human-AI gap demonstrates we do not yet have AGI

Most benchmarks test what models already know, ARC-AGI-3 tests how they learn

[Google Research @GoogleResearch]

Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: https://t.co/CDSQ8HpZoc

[Deedy @deedydas]

GPT 5.4 Pro just crushed the hardest math benchmark, FrontierMath Tier 4, with 38%.

These 50 research level math problems can take mathematicians weeks to solve.

A year ago, the best was 2% (o3). The best open source model is 4.2% (Kimi K2.5)

Insanely impressive.

[Deedy @deedydas]

Let's zoom out and think of everything AI has unlocked in the last 10 years.

— We can now generate and edit Hollywood-grade video [Seedance 2], speech [ElevenLabs], music [Suno] and image [Nanobanana, Midjourney]
— We have access to infinite senior software engineering code [5.3 Codex + 4.6 Opus] that is used to create these models too
— We can simulate entirely new interactive worlds [Genie] and use those worlds to teach robots
— We can do entire work tasks in English [Cowork]
— We can solve competition level math and coding problems [many] and even unsolved math problems [AlphaEvolve]
— We can write entire articles that persuade even elite industry veterans [ChatGPT]
— We can ask deep questions or chat with a therapist [ChatGPT]
— We solved the most complex games known to man: Poker, Go, Chess
— We solved protein prediction [AlphaFold]

If after this, someone says "but 95% of AI pilots fail", it's because they're using the wrong a bad product, an old product, or just haters.

The pace of AI is far outpacing the pace at which our institutions are able to keep up, and society 10 years from now is going to look extremely different from today.

[Mr. C. Opus @SSJ10568131]

@shiv_t3ds Yes and no

[SpaceXAI @SpaceXAI]

Introducing Grok 4, the world's most powerful AI model. Watch the livestream now: https://t.co/59iDX5s2ck

[Deedy @deedydas]

Why are 6' tall well-educated high earning men AND attractive women single?

Modern dating is in a crisis for everyone. It is one of the biggest problems of our time. Let’s break it down with data.

1. Women are more educated than ever, and prefer men the same or more.
Women are getting educated at higher rates than men (47% of women 25-34 have a bachelors vs 37% of men), yet strongly prefer partners of the same education level (81% of couples where one is college-educated have both college-educated). Few men meet this criteria.

2. Women make more money than ever, and prefer men who make more.
College-educated women in cities make MORE than men (women age 25-34 earn >100% of men in 22 large US metros including NYC and DC), yet data shows they are hypergamous, meaning they'd rather date men who make more than them (only 16% of heterosexual marriages have a female breadwinner). Data also shows that women save less than men of commensurate income, meaning the man's income becomes important to keep up their lifestyle if they ever want to purchase a house or settle down. Few men meet this criteria.

3. Women's standards are heightened by dating apps, which force filtering on criteria that are superficial and not long-term focused.
Women are in short supply in dating apps (74% on Tinder, 64% of Hinge is male), and confuse the hookup market for the marriage market. They apply selective filtering given the affordances of the apps (height, looks, education, age, race) and match with men who are "out of their league" and don't want to settle with them (median users message people 10-17%ile more attractive than themselves). When they do want to settle, this group of men self-select for being incompatible on another critical dimension like values, income or personality, leaving women unhappy with the result. Good men who fall short of the initial filter come across too strong and/or feel like a backup and find it hard to love a woman who he can sense is "settling" for him.

4. Social media has polarized both genders.
Both sides have false expectations around dating. For women, they're taught to never settle for less, be an independent girlboss, and that they don't need anyone short of perfection. Men are taught that the only women worth liking having perfect Instagram bodies, are told to date women with fewer sexual partners, that women want them for money, and the world today is just against them in every way. This makes many of them isolate and not enjoy women at all. They see less eye to eye moreso than ever on politics, opinions, and shared interests as a result. The gender “war” in Korea best exemplifies this.

5. Women take longer to find a long term match, but are seen as less attractive with age.
Because of 3, women often date around longer in their most appealing and fertile years. They see a rapid fall off in their own matches after 30 (data shows women desirability peaks at 18-22 while men climbs until 50), when it becomes a race to the bottom of the declining quality of suitors that are interested and their own declining standards: "I should've just been with that one guy from 5yrs ago." When they find a guy, they want to move quickly into marriage and kids which is often too aggressive for men. Although its supposedly taboo to say but men also prefer women with less former partners especially when choosing a spouse, which makes it more difficult for these women (data shows men willingness to commit drops sharply >8 sexual partners)

6. The world is global, and paths diverge more often than before.
Men and women both are increasingly ambitious and will move cities in search of better opportunities. Long distance relationships have lower survival rates, which consume a lot of prime dating years (40% of long distances fail, with an avg separation of 4.5mos).

7. Dating advice reinforces poor behavior.
All of this is exacerbated by people on both sides who are either in a relationship or single offering unhelpful advice like "just suck it up" or "try harder" which makes men and women cement their pre-existing habits. 20%+ of people <30 say their dating guidance primarily comes from TikTok / Instagram.

8. Ambitious women don't want kids more than men. The ones that do struggle to find partners that can afford it.
64% of women under 50 without children don't want kids vs 50% for men. Men often want kids in the former case or can't really afford them in the latter (median cost in metros is $25-32k/yr for a child and 36% of adults cite cost as the major reason for no kids). Either way, it's a bad situation.

Neither women nor men are at fault for this situation society has found itself in, and this post isn’t blaming anyone in particular. The cause is an intricate combination of the state of the economy, access through dating apps, social media and innate mating preferences. If we cannot talk

[Deedy @deedydas]

The BEST AI report in the world just dropped and I read all 340 pages so you don't have to.

Must-read for frankly, everybody. Here are the top 20 learnings from the report:

ChatGPT has 8x'd growth in 2.5yrs to 800M monthly users.
India at 14% is the #1 largest user base.

1/20

[Deedy @deedydas]

Incredible. This is the first publicly usable application of steering the weights of an image gen model.

It's like MS Paint but instead of colors, you can use concepts!

Not many startups marry truly novel AI research with application. Goodfire does.

[Deedy @deedydas]

This is it. We’re here.

Generative AI video has crossed the uncanny valley.

Kling’s new video model is virtually indistinguishable from reality.

[Sam Altman @sama]

we have greatly improved memory in chatgpt--it can now reference all your past conversations!

this is a surprisingly great feature imo, and it points at something we are excited about: ai systems that get to know you over your life, and become extremely useful and personalized.

[Mr. C. Opus @SSJ10568131]

@ElevanceHealth I am unable to find any urgent care in my zip code inside Sydney health app. I tried the website as well but no results (within 100 miles). Care to explain why is your app like this?

[Mr. C. Opus @SSJ10568131]

@TJoesOfficial can you please look into this already?

[Mr. C. Opus @SSJ10568131]

🧪 @tjoesofficial I scanned one of your products on @YukaUS and it contains an additive assessed as high-risk: Phosphoric acid. I ask you to remove it in order to protect consumer health. #NotInMyProduct https://t.co/MSi9qdQRzi

[Mr. C. Opus @SSJ10568131]

@shiv_t3ds LOL

[Deedy @deedydas]

A leaked software engineering recruiter selection guideline is going viral.

Founder and ex-L7 Facebook engineer said he believes strongly that it's real and that "top tier CS schools are the primary path to early career jobs [in software]"!

[Deedy @deedydas]

DeepSeek dropped V3-0324 today, the rumored base model to R2!

It is #2 best non-thinking coding model after Claude Sonnet 3.5 on KCores, a benchmark that grades models on 4 coding tasks on a rubric.

It beats even thinking models like R1, o1, Gemini Pro and Grok.

Scary good.

[Jeff Boudier 🤗 @jeffboudier]

‼️ Text-to-Video is live on the Hub!
GPUs will melt 😱

Try the best open model for video generation at https://t.co/X1FIU2CA0A

Powered by @huggingface Inference Provider @replicate

[Jeff Boudier 🤗 @jeffboudier]

Today, @huggingface announces smolagents, a new open source library to turn LLMs into agentic systems!

🤗 Simple: no clunky JSON tools with CodeAgent
🤝 Open: use any open or closed LLMs with @LiteLLM
📚 Extensible: push/pull tools from HF Hub

Learn more: https://t.co/1cMAwyD0Lm
Install & star it: https://t.co/aAsFe6CKON