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Showing 24 posts Β· last 7 days Β· quality filtered
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SpirosMargaris
@SpirosMargaris
πŸ“…
Mar 11, 2026
11m ago
πŸ†”79764360
⭐0.42

A startup founded by teenagers is already valued at over $1 billion. Aaru is betting that AI bots can predict human behavior more accurately than traditional analytics. Major brands like McDonald’s and EY are already paying attention. https://t.co/49wjGtcmnE @VranicaWSJ @wsj

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nvidia
@nvidia
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Mar 11, 2026
40m ago
πŸ†”24111126
⭐0.34

https://t.co/8zNQX2OSSF

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NVIDIA
@nvidia
πŸ“…
Mar 11, 2026
40m ago
πŸ†”24111126
⭐0.34

https://t.co/8zNQX2OSSF

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databricks
@databricks
πŸ“…
Mar 11, 2026
1h ago
πŸ†”04947547

Today we're announcing Genie Code, your autonomous AI partner for data. Genie Code is a state-of-the-art agent that lets data teams move from prompting a copilot to delegating real work: building pipelines, machine learning models, debugging failures, and shipping dashboards. This isn't a smarter autocomplete. It's a different kind of AI partner entirely. Unlike general coding agents that stop once the code is built, Genie Code plans, executes, and iterates across the full data and AI lifecycle inside Databricks. It's purpose-built for data engineering, data science, and BI: β€’ More than doubles the success rate of leading coding agents on real-world data science tasks β€’ Proactively monitors your pipelines and AI models in the background, triaging failures and fixing issues before a human intervenes β€’ Works with your data wherever it lives, across Databricks and external platforms, with full governance and MCP support This is what the future of data work looks like. https://t.co/xhwuZqrJEn

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0xAneri
@0xAneri
πŸ“…
Mar 11, 2026
15m ago
πŸ†”63534277
⭐0.30

Introducing: Flows Every creator just got their own production studio

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aneri
@0xAneri
πŸ“…
Mar 11, 2026
15m ago
πŸ†”63534277
⭐0.30

Introducing: Flows Every creator just got their own production studio

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adsrekt
@adsrekt
πŸ“…
Mar 11, 2026
13h ago
πŸ†”92897089

someone finally wired a SUBCONSCIOUS to CLAUDE letta built an agent that sits underneath claude code and watches every conversation you have across every session it doesnt just log stuff. it accumulates patterns, learns your codebase, and feeds async guidance back into your terminal without you asking not a prompt hack. not a .md file you paste in every monday. not another wrapper that adds 14 steps to your workflow its a background layer that runs parallel across multiple claude code instances with shared memory between all of them you stop a session friday night, start a new one monday morning, and it already knows what you were building and why bookmark that before you forget.

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adsrekt
@adsrekt
πŸ“…
Mar 11, 2026
13h ago
πŸ†”92897089
⭐0.34

someone finally wired a SUBCONSCIOUS to CLAUDE letta built an agent that sits underneath claude code and watches every conversation you have across every session it doesnt just log stuff. it accumulates patterns, learns your codebase, and feeds async guidance back into your terminal without you asking not a prompt hack. not a .md file you paste in every monday. not another wrapper that adds 14 steps to your workflow its a background layer that runs parallel across multiple claude code instances with shared memory between all of them you stop a session friday night, start a new one monday morning, and it already knows what you were building and why bookmark that before you forget.

❀️6
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πŸ”4
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Kostastsale
@Kostastsale
πŸ“…
Mar 11, 2026
55m ago
πŸ†”45719339

Today I’m launching Threat Hunting Labs. Over the years I’ve analyzed many real-world intrusions. One thing became obvious: most training platforms don’t resemble how investigations actually happen. So I built something different. Threat Hunting Labs focuses on investigation-driven learning using real telemetry and structured investigative paths. If you want to get better at investigating breaches, you should practice investigating breaches. More details here: https://t.co/cAuuh7sTJN

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RekaAILabs
@RekaAILabs
πŸ“…
Mar 11, 2026
8m ago
πŸ†”49834628

Meet Reka Edge – Our next-generation vision language model for physical AI. Uses 3x fewer input tokens and achieves 65% faster throughput compared to leading 8B models. Image understanding, video analysis, object detection, and tool use. Built for Action. Fast enough for production, deployable anywhere. Read more: https://t.co/GcIqYv3ezu

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pamelafox
@pamelafox
πŸ“…
Mar 11, 2026
38m ago
πŸ†”08020277

TIL at PyAI: @HamelHusain has an entire collection of memes about evals. https://t.co/7TSY6E3hc3 https://t.co/FwtuKiBdqG

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HamelHusain
@HamelHusain
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Mar 11, 2026
9m ago
πŸ†”56156675

@pamelafox I regret not highlighting this one @changchanging https://t.co/MZwETZ2OO5

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omarsar0
@omarsar0
πŸ“…
Mar 11, 2026
16m ago
πŸ†”16089704
⭐0.36

@karpathy I also recognize that building an orchestrator is not for everyone. It is my default interface to interact with my agents. I initially just started it as a way to experiment, but quickly became addicted to certain ways of working with agents, which I can only access in my UI.

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_lopopolo
@_lopopolo
πŸ“…
Mar 11, 2026
47m ago
πŸ†”17665428
⭐0.42

this is how we move toward having a ring0/1/2/3 style privsep in model instructions. super excited about this progress on advancing model architecture to durably address prompt injections and give operators more control on model alignment https://t.co/gH2sSlCLH7

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_akhaliq
@_akhaliq
πŸ“…
Mar 11, 2026
16m ago
πŸ†”61743524

Thinking to Recall How Reasoning Unlocks Parametric Knowledge in LLMs paper: https://t.co/juzRYfAZ5u https://t.co/QoMdkymIY0

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HuggingPapers
@HuggingPapers
πŸ“…
Mar 11, 2026
1h ago
πŸ†”25811988

NVIDIA just released Nemotron 3 Super on Hugging Face 120B total / 12B active parameters, 1M-token context window, and hybrid Mamba-MoE architecture delivering SOTA agentic reasoning for coding and tool use. https://t.co/dj5Rni8hoB

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DailyPapers
@HuggingPapers
πŸ“…
Mar 11, 2026
1h ago
πŸ†”25811988
⭐0.38

NVIDIA just released Nemotron 3 Super on Hugging Face 120B total / 12B active parameters, 1M-token context window, and hybrid Mamba-MoE architecture delivering SOTA agentic reasoning for coding and tool use. https://t.co/dj5Rni8hoB

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_akhaliq
@_akhaliq
πŸ“…
Mar 11, 2026
10m ago
πŸ†”05038023

Omni-Diffusion Unified Multimodal Understanding and Generation with Masked Discrete Diffusion paper: https://t.co/F0zl3MNFRN

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Mid0
@Mid0
πŸ“…
Mar 11, 2026
21m ago
πŸ†”30679477
⭐0.30

@aryanlabde Security. It doesn’t stop at auth. Then performance when scaling.

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Mid0
@Mid0
πŸ“…
Mar 11, 2026
20m ago
πŸ†”51718601
⭐0.32

@karpathy @nummanali Augment is getting there and Theo’s fresh take is great. I would also look into Replit

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ph_singer
@ph_singer
πŸ“…
Mar 04, 2026
7d ago
πŸ†”17832200
⭐0.30

@xeophon @mirkolenz Well, you can turn that down in settings

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ylecun
@ylecun
πŸ“…
Mar 11, 2026
29m ago
πŸ†”65711518
⭐0.34

@j_bg @NicolasDufourcq Faux. Plus d'un tiers des investisseurs sont européens, à peu près un tiers américains, et un peu moins d'un tiers d'Asie et du Moyen Orient.

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ylecun
@ylecun
πŸ“…
Mar 11, 2026
26m ago
πŸ†”08108223
⭐0.38

@ronbrachman The basic idea of world models is very old. Optimal control folks were using model-based planning in the 1960s (using the "adjoint state" methods, which deep learning people would now call "backprop through time"). But the real question is what you do with this idea and how you reduce it to practice.

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omarsar0
@omarsar0
πŸ“…
Mar 11, 2026
30m ago
πŸ†”69926046
⭐0.36

@karpathy You reach a point where you do need to have good eval workflows to assess changes and improvements in how agents perform work and interact. That eval doesn't exist. It comes through taste and experimentation. Fun to be a researcher in these times. But also great to be a builder.