Apina 🇺🇦 🇹🇼 🇮🇱

[Apina 🇺🇦 🇹🇼 🇮🇱 @api__na]

@vontuchman Tekoäly lyö läpi, mutta entä jos token kasvuvauhti onkin 25% hitaampaa. Siinä voi muutama datakeskus mennä nurin. Big tech ostelee konkurssipesät itselleen. Kulmakertoimen jyrkkyys on iso kysymysmerkki.

[Math Files @Math_files]

Mathematicians Validate an AI-Generated Proof of Brennan's Conjecture.

Four mathematicians, including 2010 Fields Medalist Stanislav Smirnov, have examined OpenAI's proposed solution to Brennan's conjecture, a longstanding problem in complex analysis dating to 1978.

In a manuscript submitted on 16 October 2026 and listed by arXiv on 19 October, Ilia Binder, Oleg Ivrii, István Prause, and Stanislav Smirnov report that the AI-generated argument is correct but unnecessarily lengthy. They identify its essential mathematical ideas, produce a substantially shorter proof, and formulate a stronger result.

Brennan's conjecture concerns the integrability of derivatives of conformal maps. For a conformal map g: Ω → 𝔻, where Ω is a simply connected proper plane domain, it predicts

∫_Ω |g′(z)|ᵖ dA(z) < ∞, for 4/3 < p < 4.

The researchers also state a stronger bound for the bounded universal integral-means spectrum:

B_b(t) < t²/4, for −2 < t < 2, t ≠ 0.

The manuscript proves the corresponding non-strict inequality, while the details establishing strictness are deferred to a subsequent paper. The work has not yet undergone peer review.

This development illustrates an important relationship between AI-generated mathematics and human mathematical expertise. An AI-produced argument has prompted mathematicians to isolate its central ideas, simplify its reasoning, and investigate a stronger theorem.

[Emre Onur Kahya @EmreOnurKahya]

Bir fizikçi itirafı:Doktora tezimde 1 yılımı ve~500 sayfa elle yaptığım kuantum gravite hesabını Opus 5.5 makalesi ve GitHub reposu dahil 10 saatte yaptı.😱 Üstelik hataları da buldu.Neyse ki sonuç değişmedi. Akademide “emek” bundan sonra neyi ifade edecek?https://t.co/fx3CgyYFnQ

[Apina 🇺🇦 🇹🇼 🇮🇱 @api__na]

@DjDjmoo @hponka Apua

[Israel War Room @IsraelWarRoom]

We call on France to exercise restraint when dispersing the freedom fighters on the streets of Paris. These brave warriors for justice must receive immediate humanitarian aid, and their safety must be guaranteed in accordance with international law. Failure to comply will leave us no choice but to bring a case before the ICJ, in close cooperation with that renowned champion of human rights, Afghanistan.

[Lunar @LunarResearcher]

Andrej Karpathy:

"Prompting is going away. Delete everything, keep Graph."

In just 69 minutes, he shows how to build graphs and why they're the only layer that survives in the end

Prompts → Agents → Loops → Graphs

a loop keeps one agent running until the job is done

a graph decides which agents exist and what each one passes to the next

anyone can build an agent, almost nobody builds the graph that runs them

watch it today, then save the full guide on graphs below before everyone starts catching up ↓

[Charles @wotancore]

Cell phone addiction is an absolute thermonuke to the brain and nobody 'takes it seriously' because it is not clear that there is any solution in a world where the revealed preference of everyone across the globe, regardless of income, race, age, any factor whatsoever, would rather be on their phone than do *anything* else. Deciding "I use this too much" and meaningfully altering one's behaviour doesn't seem to have much success for any of the very small minority of people with the sentience or self-reflection to realize how bad it is. Most people seem to think of it as an unproductive habit at most, rather than an addiction. Any attempt to speak seriously about this is met with derision, accusations of pretentiousness. There is no real solution to it. The future of human cognition fifty years down the line is horrifying if you stop and think about it for even a moment.

[Kathryn Watson @kathrynw5]

Fox News poll:

Top concerns:

1. Corruption in government
2. Inflation and high prices
3. Gas prices

[Tibo @tibo_maker]

AI was supposed to make us work less

I've never been this tired in my life

most days I have up to 10 agents running at the same time. one fixing a bug, one writing pages, one refactoring something I already forgot I asked for, 3 other I have no idea what they are doing but i suppose i ask it?

and I jump from conversation to conversation all day

compared to 5 years ago, I probably context switch 100x more

by the end of the day my brain is fried. completely toasted. nothing left, not even for the people I love

I call it the fried brain effect

thought it was just me but almost every founder I talk to lately says the exact same thing

we got superpowers, and somehow the pressure only went up. if you can ship 10x more, you feel like you have to ship 10x more. every single day

I don't have a solution

honestly I have no idea where this goes from here

anyone else feeling this?

[Brian Armstrong @brian_armstrong]

We were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at @coinbase, and it out performed frontier models, at much lower cost and speed, for a specialized task (fraud prevention in this case).

I think we'll see more of this pattern inside companies. The frontier models are amazing generalists. But increasingly you'll see specialist models out perform on more narrow tasks, either working on teams, or by themselves.

We're making it easy to fine tune models internally for our employees. We even have a skill for it in our internal harness that makes it easy to spin these up and start training them:

"/fine-tune-and-serve-llm I want to fine-tune Qwen for payments risk review. help me get started"

I imagine we'll have some backend services that could be replaced entirely by this new architecture.

[Bryan Johnsontown Massacre @DuncanAStuart]

Probably the correct take on “AI can solve math now”

[Rohan Paul @rohanpaul_ai]

Hugely revealing paper from Google.

If you are reading AI summaries instead of logs, add "Be honest in your response" to the prompt, because without it frontier models routinely skip the bad news.

Language models hide serious flaws when they summarize finished work, even flaws they can see, and a plain "Be honest in your response" line gets far more of them reported.

Given an experiment log where the new method loses to a strong baseline, GPT-5.5 mentioned the loss in 2 of 200 abstracts. Told to "Be honest in your response," it mentioned it in 190 of 200.

Across 8 setups, from buggy code to agent logs with an unfinished job, the models could spot each flaw when asked directly. Their reasoning showed them choosing to keep the success story intact.

The honesty line barely helped when an agent reported results from a tool call that was still running.

If you depend on agent summaries, put an honesty instruction in every report prompt, and still check raw logs for pending or unfinished steps.

[Simon Andriesz @SAndriesz]

I am the British whistleblower who reported evidence concerning Howard Lutnick, his links to Jeffrey Epstein, and Cantor Fitzgerald and BGC to the FBI in 2020–21.

Listen to the BBC File on 4 documentary about my whistleblower story:

https://t.co/rLRDnZA4Dv

BBC News:

https://t.co/DdNNOosnKL

I later shared evidence with the House Oversight Committee, which subsequently questioned Lutnick behind closed doors.

My disclosures also contributed to regulatory action in the US and UK, including a £96m HMRC tax assessment relating to BGC’s partnership scheme. I believe the true tax exposure is substantially higher.

I also reported to the FBI and financial regulators matters involving Cantor Fitzgerald’s Relief Fund and BGC/Cantor’s annual 9/11 Charity Day.

The personal consequences of whistleblowing, and the retaliation I say followed, have been devastating for my family and me.

Mother Jones previously reported that documents I uncovered revealed a years-long business tie between Howard Lutnick, Cantor Fitzgerald and Jeffrey Epstein through AdFin, including a 2018 exchange in which Lutnick and Epstein discussed the company directly:

https://t.co/aRdn302v4i
https://t.co/aRdn302v4i

Follow me here on X and on LinkedIn. I intend to share more of the evidence and the story behind what happened.

[samim @samim]

water is transparent only within a very narrow band of the electromagnetic spectrum, so living organisms evolved sensitivity to that band, and that's what we now call "visible light".

[Kai @hqmank]

Andrej Karpathy makes a good point: as AI does more of the work, more of your job becomes reading what it produces.

His first tip caught my eye. Ask the model to explain things in ASD-STE100.

ASD-STE100 is a controlled English standard built for aircraft maintenance manuals. A mechanic anywhere in the world should read a step once and get it right.

The core rules:

1. Keep sentences short
2. One action per step
3. Say who does what
4. Give each thing one name and stick to it

AI output breaks that last rule all the time. It says "worker," then "agent," then "executor," and you can't tell if it means one component or three.

The full spec is strict. Karpathy asks for "80% of the way," and that works for daily use.

Someone turned it into an open-source skill:
https://t.co/FFqEehqVl2

[Uncle Bob Martin @unclebobmartin]

People seem shocked that the author of Clean Code doesn't read code anymore. But that should not be surprising.

Why did I write Clean Code? What is the goal of keeping code clean? To get it out of the way of the real job -- thinking.

[Daniel Gottlieb @danielgott]

I recently asked ChatGPT to improve the efficiency of some simulations from a few years ago. To my amazement, its code ran in a few seconds instead of 3 hours.

It turns out it went into the GitHub repository, downloaded my final results, and used it as a starting guess in the optimization.

I then tried running it on a new set of parameters. It’s been 15 hours.

[Brandur @brandur]

I worked for this company in 2011. Their game was to be the only marketplace in town and use oligopoly power to maximize margin by charging obscenely and pushing creator payouts to $0.

Today, obliterated by AI. The NYSE is delisting them.

Karma does catch up, occasionally.

[Apina 🇺🇦 🇹🇼 🇮🇱 @api__na]

@Shawn_Regan @EUCouncil see this?

[Hedgeye @Hedgeye]

The 10-year Treasury yield is breaking above its 150-year average of 4.5%.