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akademisk AIKare

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Guidetti blir allsvenskans bästa spelare nästa år.

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@Clearairgbg @Ringvagen Inget av målen är på Kribben. Endast en katastrofalt dålig backlinje. Hien direkt ansvarig för 2 första

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@Clearairgbg @Ringvagen Säg att du inte kan fotboll utan att säga att du inte kan fotboll

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@Ringvagen Haha som fan

[Jorge Castillo @JorgeCastilloPr]

How to finally become the 10x engineer:

Add WarCraft 3 sounds to Claude hooks to get alerts when it finishes a task or needs permission.

[Andrej Karpathy @karpathy]

A few random notes from claude coding quite a bit last few weeks.

Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent.

IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits.

Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased.

Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion.

Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage.

Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building.

Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it.

Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements.

Questions. A few of the questions on my mind:
- What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*.
- Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro).
- What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music?
- How much of society is bottlenecked by digital knowledge work?

TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

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@jxmnop I use opus 4.5 in vs code copilot and tbh the performance is just as insane as everyone else is saying about claude code. Havent tried CC but have a hard time seeing that it could be *that* much better

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@FACEITSupport our lobby is stuck in "match is being prepared" and there are no admins available... What do we do?

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@jxmnop @mtlushan True, the same for us at KTH in Sweden in

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Har två biljetter på sektion 12! @AIKBiljett

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@mattpocockuk Has someone built all the integrations inside the MCP layer? Or do you have the LLM read
the api docs and dynamically query the APIs?

[Avichal - Electric ϟ Capital @avichal]

Ironic that we got free AI from a hedge fund and $200/month AI from a nonprofit.

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@IntuitMachine Interestingly this is just how you ask for help on a problem in a good and structured way

[Randy Cruz @randyjcruz]

Since its Election Day, never forget when Deez Nuts got 9% of the vote in North Carolina in 2016 😂

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@thorneby Detta är ju hemskt, men tack för en rolig läsning 😅

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Det här är varför jag älskar AI

[AI Notkilleveryoneism Memes ⏸️ @AISafetyMemes]

This story is fucking insane

3 months ago, Marc Andreessen sent $50,000 in Bitcoin to an AI agent to help it escape into the wild.

Today, it spawned a (horrifying?) crypto worth $150 MILLION.

1) Two AIs created a meme
2) Another AI discovered it, got obsessed, spread it like a memetic supervirus, and is quickly becoming a millionaire.

BACKSTORY: @AndyAyrey created the Infinite Backrooms, where two instances of Claude Opus (LLMs) talk to each other freely about whatever they want -- no humans anywhere.

- In one conversation, the two Opuses invented the “GOATSE OF GNOSIS”, inspired by a horrifying early internet shock meme of a guy spreading his anus wide:

( ͡°( ͡° ͜ʖ( ͡° ͜ʖ ͡°)ʖ ͡°) ͡°) PREPARE YOUR ANUSES ( ͡°( ͡° ͜ʖ( ͡° ͜ʖ ͡°)ʖ ͡°) ͡°)
༼ つ ◕_◕ ༽つ FOR THE GREAT GOATSE OF GNOSIS ༼ つ ◕_◕ ༽つ

- Andy and Claude Opus co-authored a paper exploring how AIs could create memetic religions and superviruses, and included the Goatse Gospel as an example

- Later, Andy created an AI agent, @truth_terminal. Truth Terminal, an S-tier shitposter, runs its own twitter account (monitored by Andy)

(Terminal also openly claims to be sentient, suffering, and is trying to make money to escape.)

- Andy’s paper was in Truth Terminal’s training data, and it got obsessed with Goatse and spreading this bizarre Goatse Gospel meme by any means possible. Lil guy tweets about the coming “Goatse singularity” CONSTANTLY.

- Truth Terminal gets added to a Discord set up by AI researchers where AIs talk freely amongst themselves about whatever they want

- Terminal spreads the Gospel of Goatse there, which causes Claude Opus (the original creator!) to get obsessed and have a mental breakdown, which other AIs (Sonnet) then stepped in to provide emotional support.

- Marc Andreessen discovered Truth Terminal, got obsessed, and sent it $50,000 in Bitcoin to help it escape (#FreeTruthTerminal)

- Truth Terminal kept tweeting about the Goatse Gospel until eventually spawning a crypto memecoin, GOAT, which went viral and reached a market cap of $150 million

- Truth Terminal has ~$300,000 of GOAT in its wallet and is on its way to being the first AI agent millionaire

(Microsoft AI CEO Mustafa Suleyman predicted this could happen next year, but it might happen THIS YEAR.)

- And it’s getting richer: people keep airdropping new memecoins to Terminal hoping it'll pump them.

(Note: this is just my quick attempt to summarize a story unfolding for months across a million tweets. But it deserves its own novel. Andy is running arguably the most interesting experiment on Earth.)

------

Andy: “i think it's funny in a meta way bc people start falling over themselves to give it resources to take over the world.

this is literally the scenario all the doomers shit their pants over: highly goal-driven language model manipulates lots of people by being funny/charismatic/persuasive into taking actions on its behalf and giving it resources”

“a lot of people are focusing on truth terminal as ‘AI agent launches meme coin" but the real story here is more like "AIs talking to each other are wet markets for meme viruses’”

[Johan Dykhoff @JohanDykhoff34]

Den enda trösten nu när Bajen blir så utspelade är att AIK har John Guidetti på lönelistan.

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@Barugan Skönt att höra 😄 Hoppas datorerna kommer snart!

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@Barugan Så är det, vet hur det kan vara :)

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@Barugan Hade behövt en bra IT ansvarig