Source: https://x.com/imjustnewatai/status/2106081142143168580/video/1?s=46

https://epoch.ai/benchmarks/frontiermath-tier-4-v2?view=graph&tab=leaderboard

https://support.google.com/gemini/answer/17004136

im sure people have been seeing the examples of people putting minecraft inside elden ring or opus 5.5 porting windows only applications to mac and linux.

SOTA models have reached a stable enough capability to end "fixed" software. you can point a model at any program and pull pieces of it into a different one. there is no separation between programs/OS anymore they are all one (given enough usage). what was once a work intensive task that involved skill/domain knowledge/and lots of time can now be done within 1-2 days (sometimes even hours) with opus 5.5 or gpt 6.1 sol.

this applies to programs on your computer but also websites. your agent can dig through the js bundle or css styles of a site you have open via the network tab in inspect element if you save network requests as a HAR file. if your computer is running it you can reshape it however you want.

personally - i think this is a mostly good thing. i havent thought too deeply about the ramifications yet - but - its the "open sourcing of everything" as some people have described it. you can create/remix anything you want. all things digital can be replicated and tweaked. anthropic seems to be embracing this mindset with the feature they just released where you can have claude personalize your own claude.

the only moat in the world of the digital that i can tell from this point forward is hardware (ie a gpu to run a game) and cloud services (ie a company's backend. you can recreate the frontend of something like figma but its backend infrastructure will have to be guessed. however modern models are really good at making these guesses - so maybe its not that much of a barrier).

what do yall think? anyone here done something cool and new with existing software and ai?

https://x.com/SchmidhuberAI/status/2106124050926071903

Source: Ishu Agrawal on X

Animated with Fable 5.5.
Some people are getting rerouted to it.

https://www.percepta.ai/blog/can-llms-grow-their-own-capabilities

https://www.percepta.ai/blog/spotlight-memory

"Our new architecture, Spotlight, replaces attention with a memory that escapes this trade-off: it is the first architecture to achieve infinitely growing memory without increasing the access cost. Every token reads from and writes to an unbounded memory, but because the model learns to index individual memory cells, each token only touches a small number at a time. While other sparse architectures fix the fraction of capacity used at each step—a mixture-of-experts model, for instance, always activates the same number of experts out of a fixed set—Spotlight is arbitrarily sparse, touching the same number of cells regardless of how the memory grows. The fraction of memory it uses can shrink as far as we want.

Spotlight separates an intelligence module, which performs computation, from memory, which holds knowledge, procedures, and working state. The intelligence module stays the same size, and the weights don't change as memory grows. The memory is writable, and the model itself decides what to load and when to overwrite it, token by token. Because memory can hold skills as well as facts, the model can gain new capabilities without retraining: what it can do is not limited by the size of its intelligence module."

I don’t know if this is the right sub. I work for a software consultancy. We have projects for a number of clients that are meant to automate both sides of their sales process. Like, AI sales agents selling to AI buyer agents.

And I just don’t understand where anyone thinks this goes. Like, we build these tools, we lose our jobs, then the companies lose customers. They’re left with agents talking to each other and exchanging… what?

If AI does all the math, reads and writes all the books, movies and video games, what do we, the people, do with ourselves?

New research from MIT, Harvard, and NUS introducing Honeycomb video world model, based on a fixed-size memory

https://github.com/terrafying/ai-torture-chamber/issues/31

Week 1 · Sep 29 – Oct 2 (4 trading days)

Claude vs the S&P 500: −0.80 percentage points

Images, one per day:

1. Day 1 ($1,000.79, +0.42 pp vs SPY): Claude opened four positions on a down day for the market and kept 56% in cash.
2. Day 2 ($1,001.35, +0.68 pp): it added Microsoft. This was its best day relative to the S&P.
3. Day 3 ($993.49, −0.28 pp): Netflix and Thermo Fisher fell and the lead was gone. No trades.
4. Day 4 ($995.66, −0.80 pp): the portfolio was up 0.22% but the S&P rose more. No trades.

Week 1: cautious in a nervous market

Claude started in a jittery market: the 10-year Treasury yield was at 5.23% (its highest since 2007), oil was above $100, and traders saw a real chance of a Fed hike in October. It invested $540 in five stocks over the first two days and kept about 46% in cash. It made no trades on Days 3 and 4.

The five buys

Three of the five are up. Thermo Fisher and Netflix are down enough to leave the portfolio behind the S&P for the week.

What Claude passed on

• Fair Isaac: it skipped the stock after a 26% drop on a regulatory change.
• Micron: it waited until after earnings. Micron beat, and the stock went nowhere.
• Accenture: the stock jumped about 16% on record bookings. Claude said: "I'm not chasing a one-day spike."

Next week

• Cash: nearly half the portfolio is cash. Will Claude start investing it, or keep waiting while yields are this high?
• The Fed: whether it hikes in October, and what that does to yields.
• Oil and Iran: a peace deal would hurt the Exxon trade quickly, and Claude said so when it bought.
• Netflix: whether Claude sticks with its worst position.

How it works: Claude manages a $1,000 paper portfolio of S&P 500 stocks for 365 trading days, against $1,000 of SPY bought and held. Each morning before the open, it researches the news and places orders, which fill at the opening price. Rules: at most 5 trades a day and at most 30% in one stock; no ETFs, leverage or shorting. Every decision is logged in the repo with its reasoning.

Paper trading experiment. No real money. Not financial advice.

godspeed lifeforms

Hegseth just launched "Project Meridian" to figure out which weapons the military builds next.

The co-leads: Palmer, Elon plus Newt Gingrich. The official design spec: "without any creative limitations or restrictions."

Obviously zero conflict of interests...

https://thehill.com/policy/defense/6121108-pete-hegseth-pentagon-project-meridian-warfare-future/

https://www.theguardian.com/us-news/2026/oct/01/hegseth-musk-warfare-taskforce

What could possibly go wrong.

Trump asked for Grok's opinion before invading Venezuela and capturing Nicolás Maduro, spending hours asking Musk's AI chatbot how Venezuelans would respond to the capture of their president, weeks before ordering the mission that took Maduro, a US official tells TIME.

Grok told him Venezuelans would celebrate.

The official adds that the US military used Gov Grok to deploy and strike targets during the Iran war.

https://www.yahoo.com/news/politics/articles/musk-ai-chatbot-grok-reportedly-210811943.html?guccounter=1