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Today in 1983, Radio Shack introduced the TRS-80 Model 100, one of the first portable computers in a notebook-style form factor. https://t.co/mikdJelbjf
AI robots doing real household tasks π€― not just demos anymore. #robots #Ai π https://t.co/QgBisvyXbS
Googleβs TurboQuant is getting compared to βPied Piper,β but itβs really about efficiency, not a breakthrough. If it works, it could cut AI runtime memory (KV cache) by up to 6x and make systems much cheaper to run, which is why some are calling it Googleβs βDeepSeek moment.β But the biggest bottlenecks in AI, especially training and infrastructure, are still very much there. https://t.co/Q5dEOvABe8 @techcrunch @SarahPerezTC
This is Penpal, an AI app that you can only communicate to through handwriting. A zero-UI experience. There is something special about the age gap between the communication method and the technology. https://t.co/DrTO9hnMHm
There are distinct advantages to using both OpenClaw and Hermes agent (see table 1). The #1 question I'm getting is "why don't you just use Hermes for everything?" The reason I don't is because I've been working on my research tool for 3+ months. In Claude Code, Codex, and eventually using OpenClaw. It works wonders for very cheap, and a Hermes rebuild would require a lot of time and credits. I'd be rebuilding what 3,500+ contributors and 5,400+ skills on ClawHub have already solved. So I asked myself, why not try to utilize both agents? Use their strengths to boost their weaknesses. OpenClaw is the fastest-growing open source project in history (339k GitHub stars). That community has built a massive tool-base. Plug in a skill, configure it, and it just runs. No code required. Hermes is fundamentally different. It's the only agent with a built-in learning loop. It creates skills from experience, improves them during use, and builds a deeper model of who you are across sessions. The way I see it, OpenClaw does the work, Hermes does the thinking and building. Together, we can build anything. Keep in mind, this is all very new and experimental. If anything, this is an important step in multi-agent frameworks working together. The possibilities only grow from here.
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it's time @claudeai https://t.co/64HtPk5bKE
it's time @claudeai https://t.co/64HtPk5bKE
εγθ¦ͺεΊζΏδΈγ§ XIAO RP2350 γ§γ XIAO ESP32-S3 γ§γεγ C++ γ’γγͺγεγγπ£ #shapolab https://t.co/9hFb92zLyd
εγθ¦ͺεΊζΏδΈγ§ XIAO RP2350 γ§γ XIAO ESP32-S3 γ§γεγ C++ γ’γγͺγεγγπ£ #shapolab https://t.co/9hFb92zLyd
This little illuminated dragon is very happy about Pretext. He's too busy having fun to care about people's "hot takes" on how "it's not that special." (This little dragon also only works on desktop right now but maybe I'll do mobile later) https://t.co/k9FH6p1G0T https://t.co/wNhFk1ZBwM
My dear front-end developers (and anyone whoβs interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at leas
Reality TV is getting an AI twist, and itβs getting strange. An βAI fruit versionβ of Love Island shows how easily formats can be replicated, remixed and turned into something surreal with generative tools. Entertainment is entering a phase where ideas can be copied endlessly, but originality becomes harder to find. https://t.co/gu1nHpN4qW @bbcnews @sakshi_saroja
Starship is the first planet-colonizer class rocket https://t.co/hlMRTVRRP7
SpaceX COO @Gwynne_Shotwell: βI love working for @elonmusk.β βHeβs funnyβ heβs hilarious actually.β βHe focuses on things that I would never have thought were important.β βOne isβ beautiful spaces.β βThis is one of the most beautiful factories I have ever seen.β Via @TIME https://t.co/VrmzOYOnpy
The Left used to worship Elon. Then they started calling him a Nazi over political disagreements. The message is clear: Either submit or the Left will do everything in its power to ruin you. https://t.co/b6mm3yXPmM
Top fashion with Grok Imagine https://t.co/haTBtjR7yK
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Launch Post𧬠A-Evolve: The PyTorch Moment for Self-evolving AI Today we at @amazon launch the universal infrastructure that turns any agent into a self-improving SOTA agent β zero human intervention. You give it a base agent β it returns a continuously evolving Top-10 agent. 3 lines of code. 0 hours of manual harness engineering: π’ MCP-Atlas β 79.4% (#1) +3.4pp π΅ SWE-bench Verified β 76.8% (~#5) +2.6pp π£ Terminal-Bench 2.0 β 76.5% (~#7) +13.0pp π‘ SkillsBench β 34.9% (#2) +15.2pp Thanks @binghe2727 @YisiSang @sammyershi @linminhua16 for the contribution! #AgenticAI #AEvolve #SelfImprovingAgents
Wharton researchers gave nearly 1,000 high school math students access to ChatGPT during practice problems Result: chatGPT is the perfect trap. Look at the red bars. Students with ChatGPT crushed their practice sessions. The basic ChatGPT group solved more problems and those on the "tutor" version did even more. Now look at the gray bars. That's the exam. No AI allowed. The ChatGPT group scored 17% worse than kids who practiced with zero technology. And the fancy tutor version? No better than working alone. The researchers called AI a "crutch." When they analyzed what students actually typed into ChatGPT, most of them just wrote - βWhatβs the answer?β The kicker: students who used ChatGPT believed it hadn't hurt their learning. They were confidently wrong. This is the AI trap in education. Outsourcing your thinking. Of course, lots of half-baked AI literacy curricula being rolled out in schools now Letβs of course ignore that basic literacy (the ability to read) is possible for <50% of 8th graders Source: Bastani et al. (2025), "Generative AI Can Harm Learning," PNAS
The research team (including @hamsabastani who is on X) found that letting students just use AI resulted in them using it to accidentally shortcut learning But both that study and a separate RCT found that AIs prompted to act as a tutor improved learning https://t.co/0HtjGC8eU0 https://t.co/U3OIeCF4aP
Wharton researchers gave nearly 1,000 high school math students access to ChatGPT during practice problems Result: chatGPT is the perfect trap. Look at the red bars. Students with ChatGPT crushed their practice sessions. The basic ChatGPT group solved more problems and those
Jensen Huang explains how to attract the best talent in the world βOur company chooses projects for one fundamental goal. My goal is to create an amazing environment for the best people in the worldβ¦ [and] to create the conditions by which they will come and do their lifeβs work?β As Jensen explains, the key to doing this is not by fighting for market share in commodity markets. Itβs by choosing projects that are incredibly hard to do. β[A great person] wakes up in the morning and says, I want to do something that has never been done before, thatβs incredibly hard to do, that if successful, makes a great impact on the world.β This is why NVIDIA doesnβt make cell phone chips, CPUs or do fabrication. βWe naturally selected ourselves out of commodity markets. And because we selected amazing markets and amazingly hard to do things, amazing people joined usβ¦ Thatβs how you build something special. Otherwise youβre only talking about market share.β Video source: @Columbia_Biz (2023)
Eric Schmidt shares his weekend habit that led to billion-dollar decisions https://t.co/YZ2AC5h9ut
Eric Schmidt shares his weekend habit that led to billion-dollar decisions https://t.co/YZ2AC5h9ut
Charlie Munger: βYou climb as [high] as you can by just advancing one inch at a time. That's the secret of life.β βThere is no more guaranteed way to make people hate you than to fail them in their reasonable expectations.β https://t.co/OjZasohXRS
Tried https://t.co/SWCtioJSxo today and itβs one of the more interesting consumer agent interfaces Iβve seen. Feels closer to OpenClaw / harness than a typical chatbot. You get an LLM + voice interface and a pretty complete agent surface: persistent chat, heartbeat-based API actions, and connectors into SMS, Social Accounts, Virtuals ACP, and more. Most importantly, there's x402 plugin for access to discovery for paid APIs https://t.co/NHWw835a0D
Milady is a new open source AI agent It's like OpenClaw but with waifus, wallets and games your agents can play with each other It's an app you can run on your computer (mobile soon) Download on https://t.co/CVXJpmPa3t Free open source under VPL: https://t.co/riQVYW0J7k http

Ricky, an amazing 71-year-old man, bought his first Tesla solely for the Tesla Self-Driving software. Without it, he would have to rely on someone else to drive for him. The Elon Musk effect on humanity. https://t.co/4KvpZEdmE3
@flowersslop Alec is amazing, but he says himself in his paper that he was simply taking our existing work, and moving it to a new arch and scaling it. https://t.co/gVS6j8XF3e
@jrosenfeld13 @seb_ruder Thanks Jason - if folks read Alec's paper they'd know this, since he was generous with his credit! :) https://t.co/PHLt8XZoNF