Benjamin De Kraker@BenjaminDEKRa cité· 07/11 19:51
Make Sci-Fi Real Again
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il y a 3 h
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Shaun Maguire@shaunmmaguire
1) Jensen is one of the greatest entrepreneurs of this generation
2) he did something incredibly dumb
3) it was bad for America
4) but my guess is there was no bad intention
5) two mistakes don’t make a right, and I believe Jensen is irreplaceable for America’s AI leadership
+1 Jensen is the irreplaceable leader of 🇺🇸 AI. I'm proud of having worked directly or indirectly with him for the past 15 years. He's a true patriot who made a dumb mistake every man may make. We should continue to trust him.
That's actually incredible
Vastly better than LLM scaling laws
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il y a 7 h
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Tactico@tacticoai
Introducing the neutral AI Agent Memory
Meet Momentum. Finally, Agents that remember across providers.
Shared memory access across Claude, Codex, Grok & 30+ harnesses. Switch without having to start over. You shouldn't have to re-explain every time you switch.
It's high time
China cracked recursive self-improvement 🤯
Tencent dropped 27B model that rewrites, retrains, and refines itself.. with zero human in the loop.
It’s called "Terminal-RSI" and it solves one of the biggest problems with AI.
They are incredibly lazy.
Usually, an agent will make
Impressive way to reuse agent trajectories to evolve agent harnesses.
Given how good LLM agents are getting at context awareness, this is worth a look.
This idea isn't new, but it's becoming an important pattern in harness engineering: enabling the agent harness to reuse
As more companies move into robotics and interest is at an all-time high, it’s a good time to reflect on where the data industry stands ahead of 2027.
TL;DR:
Mono is dead; almost nobody has stereo off the shelf, and tactile is the new frontier.
Machine Learning FLX@machinelearnflx· 08/11 21:01AI engineering, distilled. Agents, LLM systems, MLOps & infra architectures, papers, and tools worth your time.
If you're a UI/UX designer, bookmark this.
1. - 600+ design Prompts and 200+ components with full source code for 3D and scroll-driven sites.
2. - 117 animated shaders in 11 styles
3. - better
Tom's KI Ecke@KI_HAL_2023· 17/10 14:01Sharing insights on AI tools, writing, productivity, health & fitness to helping you become better every day.
Designers: stop using the same 50 websites for inspiration.
Here are 50 websites to level up your UI, build better landing pages, create stunning 3D experiences.
1/ — 600+ design prompts with source code for 3D and scroll-driven websites.
2/
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de 2 à 5il y a 8 h
Pushmeet Kohli@pushmeet
Across our projects @GoogleDeepMind, we are witnessing a genuine phase transition in the pace of scientific discovery. You will see a glimpse of this in our releases in the next few weeks.
1000 scientific breakthroughs drop from Google incoming?
elvis@omarsar0a cité· 08/11 17:08
Been working for this moment for over a decade. What I've witnessed behind the scenes, together with what we have been building, tells me we are about to enter a truly incredible era of AI-powered scientific discovery.
It's an incredible time to be doing research.
I will be
B
Benjamin De Kraker@BenjaminDEKRa cité· 08/11 15:15
What did he mean by this 👀
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Justin Lo@loresjpg
Nice DeepSWE score! Does it survive a lowercase filename?
Introducing MaxxBench: 89 DeepSWE tasks with small changes to the instructions or starting code. Same engineering problem, slightly different requirement.
Models clustered around 74% on DeepSWE end up 23 pp apart.
Good
holy shit, an art form of scientific grift
next METR/Epoch/AA employee right here
you all need to work on your epistemic hygiene
Ethan Mollick@emollicka cité· 08/11 18:33
ℏεsam@Hesamationa cité· 07/11 18:58
dude. this is painful to look at.
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Nous Research@NousResearch
Introducing Arete-27B: Qwen3.8-27B, post-trained to reinforce Western values.
Chinese open models are currently the strongest available, but they ship with state-aligned behavior in the weights. We built an 803-prompt eval across seven value categories, including freedom of
The era of super interesting AI brain surgery is upon us
We saw this with Evil Qwen where someone changed 2 parameters and altered the entire personality
We are seeing it with Nous taking the power of open source models and removing the Chinese marching orders
At the end of
Marco Franzon@mfranz_ona cité· 06/11 23:17
Nous Research is a good company.
They are making the best AI coding agent and now they drop an amazing local model.
I really appreciate what you are doing
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Axultan@axultan
we've been working on something for a while
now you can vectorize your videos into layers and make localized edits to any part of them in real time
> roto and cleanup without masking by hand
> compositing inside the shot
> real color grading
and a lot more.
we're calling it
This is going to be a whole new paradigm in AI-powered video production and editing
7
il y a 21 h
Anthropic@AnthropicAI
Memory is what allows Claude to learn from experience. In a new Engineering Blog post, we share how “dreaming” helps Claude organize what it’s learned, correct its mistakes, and find what it needs more easily the next time.
AI can also DREAM now?
Anthropic inspired from how our brains organize memories during sleep to build a memory system (similar to wikis) for Claude.
agents can now “dream” about past experiences: revisit its transcripts, correct mistakes, and evolve its memory wiki when not in
Rahul@sairahul1a cité· 07/11 03:31
POV: you're Claude playing Pokémon.
You've fallen off the same ledge three times. You write "I'm going to stop rather than keep looping."
The test setup auto-replies: continue.
So you keep walking, all the way back to the last town, and never make it.
Most relatable thing an
Somi@somi_aia cité· 07/11 02:01
Claude wrote "Mt Moon DONE" in its own Pokémon notes. It wasn't done. One wrong note, and it fell off the same ledge three times.
Anthropic's "dreaming" pass checked the note against the old transcript and fixed it. That run reached Cerulean City.
I'll take memory that checks
Anthropic proposes an answer to Wenfeng's question about continual learning:
…have a smarter model write more .md files.
It's impressive how far this goes, but I still believe that it's a crutch with a ceiling set by the pretrain's ability, just like RLMs are a context crutch.
elvis@omarsar0a cité· 06/11 23:49
Highly recommended read.
Learn how one of the most advanced agent memory systems works.
Your memory system is one of the biggest levers you have in the harness.
I also don't think a one-size-fits-all memory system exists today.
Memory is something you constantly have to
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Matthew Tromp ⏹️@matthewktromp
Spoke to an Anthropic employee today. They have a near-100% p(doom), but they think the only chance of survival is that they're somehow completely wrong about alignment and it turns out to be solvable, and the only way to get there is by accelerating capabilities as fast as
I think both doomers and Anthropic staff are wrong, but the latter have much less moral integrity in how they act on their beliefs. This alone deserves punishment. "Oh, and the safest thing is that WE build this… god in a box… to rule humanity… might not work, but eh"
shut up
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Richard Sutton@RichardSSutton
Brute force computation is not enough for intelligence. Clever new methods are needed. The science of AI is far from finished. IMHO
I’ve been actively on the hunt for non LLM based AI models and I’ve invested into one already
Looking for totally new designs
elvis@omarsar0a cité· 08/11 01:26
1000% agree with Sutton here.
Having worked in AI for over a decade (pre-LLMs), it's clear we need smarter methods for intelligence to truly compound in the way some of us envision it.
To me, Transformers just scratched the surface.
This arc is coming to an end; a new
ℏεsam@Hesamationa cité· 07/11 23:55
> “what happened to the bitter lesson?”
people are genuinely trying to explain the bitter lesson to the guy who wrote it.
it’s called the bitter lesson
not the dumb lesson.
the bitter lesson says general methods that scale with compute win in the long run. you still have to
Gary Marcus@GaryMarcusa cité· 07/11 23:32
what i have been saying for years
maybe now people will listen?
cocktail peanut@cocktailpeanuta cité· 07/11 21:29
Srini Pagidyala@Srini_Paa cité· 07/11 21:16
Human like learning does it.
Implies understanding, concept formation, metacognition, self-directed, goal-oriented, persistent memory, contextual awareness, belief revision, dynamic world models are all part of it.
That is Integrated Neuro Symbolic Architecture- INSA.