Well done!

already halfway there...

Claude Coders: run this Opus 5.5 instruction cleanup prompt *NOW*. '/claude-api prompt-audit' Optimizes your skills, AGENTS.md, CLAUDE.md and removes anti-patterns that restrict Opus 5.5. The results are amazing. Best 5 mins you'll spend. From @RLanceMartin.

The only real way to keep up with AI updates now is to be unemployed. Either that, or you just stop sleeping entirely.

introducing search, a free and open source browser for mac, built on webkit. → 2.9 mb (chrome & dia: 1.4 gb) → opens in 0.3s → 51 mb of ram at launch (chrome: 663) → hide anything on a page → supports chrome extensions → no account, nothing collected officecommun.com/search

Kill it - let users plan how they want

Today, I am announcing the Joint Warfighter Evaluation.

I came here looking for a way to disable a provider’s models. I left knowing that endomorphisms are inherently monoidal. I told my wife. She said “sure.” It’s worse than we thought.

Hello my Rust people, From my next article on Learning Rust series, I'll add exact source from the Rust Book, so that you can use the Rust book as a alternative source for theory and use my article as solely for project building guide I'll add some images before publishing

Here for the history books

According to Karp in the interview below the request by OpenAI and Anthropic AI labs for government regulation is related to a legal issue within their business model.  Right now, massive multinational corporations are working with AI groups under contract. As part of those contracts the leaders of the corporations are discovering their individual business plans, what they call their intellectual property (IP) has been uploaded into the dataset of the AI models themselves. These corporations have spent billions of dollars on their detailed business plans, marketing plans, logistics and revenue systems that are now part of the AI dataset.  These CEOs are not happy and talking about lawsuits against the AI developers for stealing their corporate intellectual property.  However, at the same time the CEOs are furious at the loss of proprietary information, they are simultaneously bound to the AI developers for forward revenue.  This is creating a problem. By some analyst’s estimations, Amazon’s forward revenue projection is approximately 51% dependent on further technological capability through the use of AI.  However, Jeff Bezos likely does not appreciate his business model, which includes a massive dataset that he makes money from, being taken and uploaded to the AI database.  Bezos could sue Anthropic for ip theft. All of the AI labs are exposed to this litigation if it was to unfold.  Additionally, all of the investors into the AI frontier labs would be at risk if the AI developer were sued by these corporations.  Both the AI developers and their investors would/are demanding protection from these lawsuits. Here’s where it gets complicated. If a wave of lawsuits were launched it would seriously hurt the market valuation of the AI developers.  However, simultaneously, if the AI developers get government protection (ie Sec.230, federal immunity from lawsuits) that removes entry barriers for startup AI companies, which increases AI competition, which could also reduce the market value of the major AI developers. Alex Karp with Palantir already has this type of immunity from lawsuits due to the collaborative nature of the national security dynamic that Karp has developed with the U.S. government.  However, the AI developers do not have this type of relationship.  The AI developers previously said they did not want government interference, but now they want government protection. Privatize the upside (profit), then socialize the risk (losses). As this dynamic unfolds, you can well imagine all the high-finance influencers who fund various political candidates and Super-PACs are positioning their own interests.  An investor in AI would seek the protection of the investment and the elimination of lawsuit risk.  Those institutional investors and billionaires would pay political campaigns and special interest advocacy to secure the value of their investment. The politicians are being purchased by the investors into AI development.  The goal is to grant the AI labs immunity from lawsuits. There are trillions at stake. If a potential AI threat has to manifest in order to force public support for the liability protection, then so be it. Perhaps that’s what we are seeing. Under this unfolding scenario, the tech sector of the stock market looks a little sketchy right now.

Good headway so far. All Rust, built on port of opentui. No node/bun/vite etc - under 20mb and 60-120fps.

Enterprise AI should understand what a company knows, and how it makes decisions and gets work done. Operating intelligence shows up in four places. - Individual intelligence is the judgment people apply in context. - Managerial intelligence is creating the conditions for honest challenge and better decisions. - Team intelligence is how groups coordinate and execute across functions. - Process intelligence is understanding how work moves, where it gets stuck, and who can unblock it. Together, they are the judgment and relationships that turn knowledge into action. Most enterprise AI still centers on the explicit layer, including documents, tickets, and CRM records. The harder problem is the context around them. Why a signal matters. Who needs to be involved. What decision has already been made. Where work is actually stuck. How well AI understands that context will determine how useful it becomes inside a company.

Gemini has been under high load for 18 months - that is why gemini-cli was unusable. When a user can only get 1-2 hours of work before being rate-limited on an Ultra plan... and after being forced to take way more google storage than anyone would ever want to get the AI..

Let's all take a moment to understand how self-serving it is for OpenAI, Anthropic and other execs of big hyperscalers to talk of slowing things down. 1. LLMs are not AI and won't be AGI. There is nothing AI to slow down. 2. Competition is coming up fast, slowing benefits incumbents. 3. IPOs need hype & puffery; "we are so awesome it could become dangerous" is hype & puffery 4. Cover for real uncontrollable slowing growth as IPOs look to be pushed out

Interestingly enough, after two weeks of high intensity (multiple $200 accounts for each provider fully consumed)- deepseek-v4.1-flash is clearly more consistent and reilable than either Astra or Fable. It is not even that close. Deepseek is now the fixer for the things Astra and Fable break. I believe they have both been nerfed to Nov25 levels..

Sure, but when it turns out the leak was caused by the plumber who neglected to tighten a pipe fitting, or perhaps poked a hole in one of the pipes, you shouldn't question the entire plumbing industry. You should question the plumber's compétence and/or motivations.

An alternative hypothesis: - model performance is plateauing - compute is getting much more expensive - AI data centers are massively unpopular - slowing down AI development is a way to explain slowing progress, reduce spending, and try to regain some goodwill. - This is an effort to save the IPO not humanity.

Right. Dario was already claiming that GPT2 was too dangerous to open source back in 2019. I made fun of them then. Everyone should make fun of them now.

I’m doing my part