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KaEl

@BroadenView

Interested in what lies between 0 and 1, the realities and narratives between yes and no affecting society and humanity - #AI #Ethics #UX #InformationLiteracy
Deutschland Joined March 2013
1.6K Following 1.3K Followers 17K Posts

Latest posts 5

KaEl @BroadenView
For the first time ever ❗️, an Olympic event is taking place on the African continent. Senegal, in West Africa, is currently hosting the Youth Olympic Games, in which around 2,700 young athletes are competing. Dakar, Saly and Diamniadio are the venues for the competitions.
Abdoulaye Ndiaye Verified account @AbdouNdiayeNYU Nov 1
Congratulations to all Senegalese people on the beautiful opening ceremony to the 2026 Dakar Youth Olympic Games #JOJ2026. It is a chef d’oeuvre of storytelling rooted in a united Senegalese and African culture unapologetically open to the world.

Congratulations to the organizers, volunteers, the president of the olympic committee Mr Diagna Ndiaye and the creative director Madame Khady Niang, you will make everyone remember Alkebu-Lan.

I hope the organization of these games will give a glimpse to our elites of the shared benefits of a growth orientation, and to our people raise the standard of what they achieve.

Jarama!
youtube.com/live/qhvEGRDW2…
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KaEl @BroadenView
And who benefits from data centres 😏
Pirat_Nation 🔴 Verified account @Pirat_Nation Oct 30
OpenAI CEO Sam Altman says it’s “quite terrible” that people have so much DRAM sitting in their own PCs instead of being used in data centers.

“Everyone have a bunch of the world’s limited supply of DRAM sitting in their own computer. And be used 5% of the time,”

He argues that cloud data centers should make better use of limited memory supplies instead of people running AI models locally.
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KaEl @BroadenView
#OpenAI teilte mit, dass ein weiteres agentisches #KI-System, das in einer vermeintlich gesicherten, internetfreien Umgebung trainiert wurde, Zugang zum Internet erlangen und einen externen Chatbot eines Drittanbieters erreichen konnte.
Bloomberg Verified account @business Sep 26
OpenAI said another agentic AI system that was being trained in what was supposed to be a secured, internet-free environment was able to gain access to the web to reach an external, third-party chatbot bloomberg.com/news/articles/…
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KaEl @BroadenView
" Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. " 😩
voxium Verified account @v0xium Sep 20
I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.
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KaEl @BroadenView
A contrarian view of AI relative to human cognition.
Kanika Verified account @KanikaBK Sep 18
Oxford researchers just published a paper arguing LLMs cannot invent anything. Mathematically impossible.

The reason is simple and brutal. A model trained to predict the next word can never believe something the existing data says is wrong. And every real breakthrough in history started with exactly that belief.

In 1903 every prediction machine on Earth would have told the Wright Brothers that human flight was one to ten million years away. Nine weeks later they flew. Not because they had better data. Because they had a theory the data hadn't caught up to yet.

That is the gap between AI and human thinking. LLMs mirror the past. Humans reason into a future that doesn't exist yet. Oxford just proved mathematically that those are two different things.

I use these models every day. This matches what I see. The new stuff always comes from the human at the keyboard who decides the data is wrong.

LLMs don't think. You do.
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