📣#AWS & @atomico are proud to partner on the State of European Tech report 2025. https://t.co/LBR5guNjBv 🔮The future will be written by those who can move fast & think long-term. Discover opportunities for the #startup community & beyond, with in-depth findings from the region.

New perks for Enterprise organizations to engage with the AI community on @huggingface 📢 show your company with your profile activity 💼 show you're hiring on your profile I show you how in the video https://t.co/d3kpwK5eoF

BREAKING: Assistant U.S. Attorney Joe Thompson exposes the true level of fraud in Minnesota. "Every day we look under a rock and find a new $50 million fraud scheme." "[Minnesota] is an outlier in a bad way. You don't see fraud on this scale in other states." "Traditional Medicare/Medicaid fraud is people overbilling. Upcoding. Instead of billing for a service with a relatively modest reimbursement, you claim you're providing a higher dollar value service. You're maybe making 20% more - padding your bills." "What I think is unique to Minnesota is that's not what we're looking at. What we're seeing is programs that are just entirely fraudulent. These aren't companies that are providing some services but overbilling Medicare and Medicaid, these are companies that are providing NO services. They're essentially shell companies created to defraud the program. That's unique to Minnesota."

California bill requires teachers to undergo LGBTQ propaganda training, which promotes "preferred pronouns," classifies Heterosexism as "bigotry," and hides children's gender identity from parents. Gavin Newscum wants to trans your kids. https://t.co/RdfWelX4ou

Two Haitians in Massachusetts have been criminally charged after being caught trafficking nearly $7 million worth of food stamp benefits and sold donated food product intended for the nonprofit ‘Feed My Starving Children’ https://t.co/teaccTtI6E

Elon Musk: Never trust a cynic, because most people are kind of medium good ❤️ “Never trust a cynic. The reason is, that cynics excuse their own bad behavior by saying everyone does it, because they're cynical. So I always be, it's a red flag if someone's a cynic, a true cynic. But this is an important point that I think people listening should bear in mind. If somebody is cynical, meaning that they see bad behavior in everyone, it's easy for them to excuse their own bad behavior by saying, well, everyone does it, but it's not true. Most people are kind of medium good.”

🚨HOLY SH*T - THE UK IS GOING FULL POLICE STATE Not only are they getting rid of Jury trials They plan to allow magistrates to sentence people for up to two years without appeal ‼️ Last year 40% of appeals from mags courts were upheld. LABOUR WANT TO LOCK UP INNOCENT PEOPLE https://t.co/P3jve4CHGp

The Northern Virginia Justice System are Liberal Illegal Alien Sympathizers who put anarchists above public safety. Marvin Morales-Ortez - an illegal alien from El Salvador - who committed homicide a day after being released from jail by yet another liberal judge. He was in jail for brandishing a gun and assaulting and injuring someone. Since 2020 he has been charged with SEVEN crimes in Fairfax County - one of which was First Degree Murder. This is just outside of DC - an illegal alien enclave protected by woke Liberal judges and prosecutors. https://t.co/xhpuFaKAwt

🚨🇩🇪 GERMANY’S “WELCOME CULTURE” COLLAPSES: MAJORITY NOW WANT IMMIGRATION HALTED & DEPORTATIONS RAMPED UP A new poll just dropped, and it’s a political earthquake: a majority of Germans now support an immigration moratorium and mass deportations. The poll shows that 81% of Germans state that illegal immigration was “far too high” or “rather too high” over the last 10 years, and only 5% view the levels as appropriate. Another 75% say illegal migration has been bad for Germany. Yes, in Germany… the same country that once opened its doors to over a million refugees in 2015, which was promoted by Angela Merkel, her CDU, and the left. However, after years of failed integration, rising crime headlines, housing shortages, and mounting public frustration, the mood has flipped hard. Nowadays, 53% of Germans favor a total moratorium on all new immigration and immigration overall, as well as the return of a large number of migrants to their homelands, otherwise known by many on the right as “remigration” or mass deportation. It’s official… the once-celebrated “welcome culture” has turned into: enough is enough. Berlin’s political class can’t keep ignoring this shift, because the public clearly isn’t. Source: @zerohedge, Remix News, YouGov

Elon Musk painting the ultimate post-scarcity future: AI + robots → unlimited production → universal high income → money becomes meaningless → we design dream homes on demand, travel in tunnel EVs or electric VTOLs, and live for fulfillment, not survival. As he mentioned it is straight out of Iain M. Banks’ Culture series, I would read them all to understand the future. But start here: Consider Phlebas: an epic space opera showing the Culture at war, full of pirates, megastructures, and a glimpse of what true abundance looks like (even if seen through an enemy’s eyes). This is the future we’re building and will arrive at.

Test drive a Cybertruck, It will blow your mind Elon Musk https://t.co/yumgZiPwE7

Morgan Freeman on Elon Musk: "I'm a huge fan of Elon Musk. I think he's got the most incredibly forward-thinking ideas about where we can go technologically." https://t.co/7KxAj923Jp

The only thing standing between you and outrageous success is hard work. https://t.co/MKHaZLOncj

The only thing standing between you and outrageous success is hard work. https://t.co/MKHaZLOncj

Deep Reinforcement Learning for Multi-Agent Coordination Multi-agent reinforcement learning doesn't scale. The default approach to coordinating robot teams remains explicit communication or centralized training. This is inefficient. On the other hand, social insects solve this problem effortlessly. Ant colonies coordinate thousands of agents through stigmergy: indirect communication via environmental traces. This new research introduces S-MADRL, a framework where robot teams coordinate through virtual pheromones instead of direct communication. Agents leave digital traces in a shared virtual map as they move through the environment. Other agents sense these traces within their local field of view and incorporate them into their decision-making. The environment itself becomes the communication medium. The researchers combined this stigmergic approach with curriculum learning, training agents sequentially rather than simultaneously to address non-stationarity issues. The emergent behaviors of the system mirror biological strategies. Agents self-organized into bucket-brigade patterns with bidirectional flow. Some agents spontaneously became idle during high congestion, exactly like worker ants in crowded tunnels. No one programmed these behaviors. They emerged from the stigmergic signals alone. Paper: https://t.co/CqiJrpctY6 Learn to build effective AI Agents in our academy: https://t.co/Y5kVy5iKiQ

Designing reward functions for RL agents is kind of broken. The default approach remains manual engineering: domain experts iteratively craft reward signals through trial-and-error. This requires significant expertise, takes enormous human effort, and often fails when task complexity increases. But what if agents could discover their own optimal reward functions? This new research introduces a bilevel optimization framework that automatically discovers optimal reward functions for embodied RL agents through regret minimization. The optimal reward function can be defined as one that minimizes the gap between the learned policy and the true optimal policy. No expert demonstrations needed. No human feedback required. How it works: Two optimization levels run simultaneously. The lower level trains the RL agent to maximize rewards as usual. The upper level continuously updates the reward function itself, guided by a meta-gradient that minimizes policy regret. The reward function learns to assign high values to critical states like success or failure, while providing dense feedback throughout the state space. The framework works across both value-based agents (DQN) and policy-based agents (PPO, SAC, TD3) without task-specific tuning. In data center energy management, all RL agents using discovered rewards achieved energy reductions exceeding 60%, compared to 21-52% for baseline RL. In UAV trajectory tracking, the approach enabled PPO agents to successfully complete tasks where hand-designed rewards failed entirely. In sparse-reward OpenAI benchmarks, agents using discovered rewards outperformed baselines in both convergence speed and final performance. The discovered reward functions also reveal interpretable structure: they automatically identify critical states and encode latent relationships between states and rewards that match physics-based reward designs, despite having no explicit mathematical model. Paper: https://t.co/W9fRH6sbDq Learn to build effective AI Agents in our academy: https://t.co/JBU5beIoD0

Brilliant post on prompt caching! This is one of the most effective and underutilized techniques for reducing LLM usage costs. https://t.co/nByCrQv5ez

History LLMs are models trained exclusively on pre-1913 texts. Beyond the research applications, here is why this is an exciting effort for me: 1. Studying historical discourse without modern bias. These models capture what was "thinkable, predictable, or sayable" at specific moments in history. Unlike prompting modern LLMs to roleplay, these models genuinely don't know about future events because that information literally isn't in their training data. Lots of applications there. 2. Understanding historical predictions and assumptions. Researchers can explore what contemporaries expected would happen versus what actually occurred. This is useful for studying economic forecasts, political analysis, and social expectations from past eras. 3. Analyzing language and concept evolution. Track how terminology, ideas, and discourse patterns changed over time. The specific cutoff dates (1913, 1929, 1933, 1939, 1946) align with major historical inflection points (pre-WWI, Great Depression, WWII start, post-war). Heck, this might even be useful where you are using sub-agents for history-related tasks or expertise. 4. Detecting anachronisms and large-scale textual analysis. Useful for historians, writers, and filmmakers to verify period-accurate language and concepts. These models can flag modern assumptions that wouldn't exist in historical contexts. This also enables exploration of massive historical corpora in ways traditional archival research cannot. It acts as a "compressed representation" of the discourse from each era. Thoughts?

Wan2.6: Be What You Wanna Be Wan2.6 R2V is now available. 🎬️Supports recording in real time or uploading a 5 second reference video, and replicating the person, animal, animated character, or object from that clip into new videos. 🎬️Supports both single- and multi-character video generation. 🎬️Replicates both the character’s appearance and voice, producing fully audio-visual synchronized output (including music, sound effects, and human speech).

If you support Native American people's, history & culture 🥰Say.. "Yes https://t.co/O0nVBgw6er

Hello all my friends 🇺🇸need a big A'ho! 💜💜 🪶… https://t.co/68LlsttsUR

😡 GAULOIS EN COLÈRE 😡 TOUCHE PAS À : - MA DIVERSITÉ -MES ATTENTATS - MES ÉGORGEMENTS - MES CRACKHEADS - MES VIOLS PAR DES OQTF - MES FRONTIÈRES PASSOIRES - MON A.M.E - MON ÉTAT COMMUNISTE - MON ÉCOLOGIE PUNITIVE - MA DISCRIMINATION POSITIVE https://t.co/KnsI3CpAnc

“Can you hear me?”, With Dreamina Video 3.5, sound is no longer an add-on, it drives the story. Audio and image are generated as a single, unified output. Mute it, and the story disappears. This piece explores distance, noise, and closeness, and how sound can slowly make space for love. I was honestly impressed by how well this new model understood the prompt. Generating this felt simple and intuitive, with natural gestures, solid lip-sync, and really strong sound design right out of the box !! You rock Dreamina !! Can't wait to create more with it. Created for the launch of Seedance 1.5 by @dreamina_ai #DreaminaVideo 3.5 #Seedance 1.5

can someone help folks at Mistral find more weak baselines to add here? since they can't stomach comparing with SoTA.... (in case y'all wanna fix it: Chandra, dots.ocr, olmOCR, MinerU, Monkey OCR, and PaddleOCR are a good start) https://t.co/QNZKZITdUt

It’s actually these guys https://t.co/hPdBOAXHnn

It’s actually these guys https://t.co/hPdBOAXHnn

I don't know if you've seen this @levarburton, but it would be awesome if you agreed. https://t.co/JPpUIllheQ

“If you take society’s definition of knowing oneself, you will become lost in the many translations.”- G Sara. Follow @DailyNative1 https://t.co/Sz02bgq5j2

Unless you are indigenous, you are not a native. You are from here. You were born here. You were raised here. But you are not and will never be a native. https://t.co/RyzI1zhGpV

We are a modern culture that has suffered great amnesia from who we all were from our past. Sound and music connected us all—past all divides that today we call political. https://t.co/4b5IUzO9df

I don't know if I mentioned it but an art museum is buying two of my digital pieces. We had them printed & made into signs for an exhibit and decided they wanted to keep them for their collection. https://t.co/7SbYwAV3xJ

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