Ali @alitwil9

七転び八起き I’m simply having fun with what I do (i guess) Casablanca Joined August 2014

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9
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211
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127

Thinking Machines @thinkymachines

3 weeks ago

Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to…

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Thomas Wolf @Thom_Wolf

3 weeks ago

oh my god this is just crazy folks

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Qwen @Alibaba_Qwen

3 weeks ago

🎙️ Meet Qwen3-ASR — the all-in-one speech recognition model! ✅ High-accuracy EN/CN + 9 more languages: ar, de, en, es, fr, it, ja, ko, pt, ru, zh ✅ Auto language detection ✅ Songs? Raps? Voice with BGM? No problem. <8% WER ✅ Works in noise, low quality, far-field ✅ Custom…

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Bersek @The_Real_Bersek

4 weeks ago

Funny how the EU keeps writing big new regulations for AI, crypto, and social media, even though it doesn’t really have its own AI giants, top crypto companies, or massive social platforms. Makes you wonder: Will the EU’s bureaucrats ever realize they keep laying down laws for…

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Anthropic @AnthropicAI

4 months ago

Our interpretability team recently released research that traced the thoughts of a large language model. Now we’re open-sourcing the method. Researchers can generate “attribution graphs” like those in our study, and explore them interactively.

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Daniel Nguyen @daniel_nguyenx

6 months ago

Vibe Startup 🤝

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Ali @alitwil9

6 months ago

Bring the shoebody bop ritual to life with the new chatgpt image gen 😆

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lilm2a2d(autism) @lilm2a2d

7 months ago

Imagine intelligence as a ripple in a pond. At first, it’s just a single drop, but as it expands outward, each new wave reinforces the last, shaping a pattern that remembers where it came from while constantly growing.

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Bojan Tunguz @tunguz

7 months ago

I’ve tried various “SOTA” AI tools with several old @kaggle competitions. Just gave them the datasets and the description of the competition. All of them gave me the code that had to be fixed manually. The models they came up with were functional but EXTREMELY pedestrian and…

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will brown @willccbb

7 months ago

ok so how do you pronounce QwQ

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Andrej Karpathy @karpathy

8 months ago

UTF-8 🤦‍♂️ I already knew about the "confusables", e.g.: e vs. е. Which look ~same but are different. But you can also smuggle arbitrary byte streams in any character via "variation selectors". So this emoji: 😀󠅧󠅕󠄐󠅑󠅢󠅕󠄐󠅓󠅟󠅟󠅛󠅕󠅔 is 53 tokens. Yay paulbutler.org/2025/smuggling…

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Jo Kristian Bergum @jobergum

10 months ago

Dominant Generative AI Use Cases 2024 (As reported by Menlo Ventures) One observation is that code generation and support chatbots depend heavily on retrieval, which ranks #3. What will be the dominant generative AI use cases in 2025? From menlovc.com/2024-the-state…

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Harrison Chase @hwchase17

11 months ago

The biggest blocker for AI agents? It is performance quality, BY FAR For all the talk of cost, latency, safety... the fact is, most people are still just struggling to get agents to work 🤷‍♀️ Full survey here: langchain.com/stateofaiagents

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Jimmy Apples 🍎/acc @apples_jimmy

12 months ago

It is time

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The Nobel Prize @NobelPrize

12 months ago

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”

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Jo Kristian Bergum @jobergum

a year ago

I smile a bit when I hear about Graph-RAG; it's like saying SearchEngine RAG. It's underspecified. Nobody can articulate what it means. First, you need the data and the relationships to build that knowledge graph. That is the hard part. If you have that, you can enrich…

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Jack Forge @TheJackForge

a year ago

name a more iconic piece of software.. I’ll wait.

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VivaTech @VivaTech

a year ago

The Godfather of AI is at #VivaTech! Yann LeCun (@ylecun) advises students coming into the industry: "Don't work on LLM. This is in the hands of large companies, there's nothing you can bring to the table. You should work on next-gen AI systems that lift the limitations of LLMs.

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François Chollet @fchollet

a year ago

One thing that even relatively senior ML people often fail to grasp is that deep learning models are curves fitted to a data distribution. You cannot expect them to solve tasks outside of their training distribution (which is the sort of thing that you need intelligence for).…

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Yann LeCun @ylecun

a year ago

How to be as "smart" as Auto-Regressive LLMs: - memorize lots of problem statements together with recipes on how to solve them. - to solve a new problem, retrieve the recipe whose problem statement superficially matches the new problem. - apply the recipe blindly and declare…