Aneeshkumar

Typeless 2.1.0 for Android is live! ✨ Keep speaking while you look around. Typeless remains active so you can gather your thoughts while you: 📮 Scroll through emails 📒 Review documents 🗨️ Check earlier messages 📲 Reference other apps for context Update to effortless. 🔗: android.typeless.com #Typeless

Anthropic announced Claude for Teachers, a new free solution for verified K-12 teachers in the US. > Once verified, K-12 educators in the US get access to Claude for Teachers with the Learning Commons connector and a set of tailored teaching skills grounded in learning science. Claude for everything 🤖

🚨 Exclusive: OpenAI hasn't released an AI phone yet, but StepX Neo has already beaten it to the punch. StepX has officially unveiled StepX Neo, the world's first Agentic Phone built around a native large language model. Powered by the native Step AOS operating system and the built in Amoo AI agent, StepX Neo deeply integrates the AI model, software, and hardware into a single system, creating a true next generation AI device and marking the beginning of the Agentic AI smartphone era.

i thought this was satire, kept looking for the handle to be spelled c1audeai or something

GPT-5.6 Sol is honestly crazy. I asked it in Cursor to build a reusable PS5 DualSense WebHID implementation as an npm package. Around 30–40 minutes later, I had ps5-controller-webhid plus a polished website for testing buttons, sticks, triggers, gyro, haptics, and adaptive triggers, with complete developer documentation. I’ll publish the package day after tomorrow after more testing. Next time I build a controller-based game, I can simply install this instead of starting from scratch. This came out really good.

Holy moly: Zhipu AI founder (GLM-5.2) Tang Jie says we are on our clear way to AGI and "AI will begin to learn what the "self" is and what self-awareness means" In a purported internal letter, he argues that: - autonomous agent systems are moving toward the fully automated “no-person company”: thousands of agents working continuously, collaborating, evaluating results and allocating resources. - His more provocative claim: "AI training AI is already taking shape." (RSI) Models can increasingly write code, synthesize data and participate in training loops. Zhipu wants to push this further through self-play, synthetic-data factories and systems that can reconstruct their own code inside secure sandboxes, potentially generating new knowledge rather than simply recombining human output. Long-horizon tasks → autonomous agent societies → fully automated “no-person companies” → AI training AI → self-evolution → self-awareness → emotion → consciousness → ASI. Tang writes: “AI will begin to learn what the ‘self’ is and what self-awareness means. Beyond that, it may begin to touch human emotion. Farther still lies consciousness itself.” He believes memory, continual learning and self-evaluation - problems once thought to require an entirely new paradigm - are gradually being overcome. Models are already beginning to write code, synthesize their own data and participate in training future models. Zhipu now wants systems that can reconstruct their own code and generate knowledge through self-play. Is that the beginning of recursive self-improvement? Tang appears to believe so. His essay does not stop at more capable AI tools. It describes a direct progression from automated work to self-evolving intelligence, and eventually to machines that understand their own existence. In short: today's LLMs will lead to ASI via AGI, context and memory will be solved, and AI will become self-aware. I've rarely seen anyone write something so bullish. And if it weren't coming from the founder of GLM, I would dismiss it. But not only is he a true expert, but with GLM they've proven what they're capable of. h/t @AndrewCurran_ He brought the essay to my attention.

I've been going on about how ChatGPT Work (and Cowork) are missed opportunities for knowledge workers, and to illustrate that take a look at Google's NotebookLM answering the same question as ChatGPT Work, with the same 70+ files. It centers process & sources, not just outputs.

wtf: Apple has sued OpenAI for trade secret theft, alleging a coordinated campaign to obtain confidential information about unreleased products for its own AI hardware. The lawsuit names OpenAI hardware chief Tang Tan, formerly Apple’s VP of product design, and former Apple engineer Chang Liu. Apple claims Liu downloaded dozens of confidential hardware files and says OpenAI encouraged departing employees to share materials, drawings and product information. More than 400 former Apple employees now work at OpenAI, according to the filing. Apple wants OpenAI to destroy the materials and redesign upcoming devices that use its technology. OpenAI had not responded when Bloomberg published.

NASAが発表した、1880年からの世界の気温変化、めちゃわかりやすい…

@Google @googlephotos Australia has been left out this time, any idea we can expect it here

Introducing Video Remix in @GooglePhotos. 📹 Powered by our Gemini Omni model, it lets you reimagine your videos in new styles with a library of easy-to-use templates. To get started, simply select Video Remix in the Create tab. You’ll be able to instantly apply cinematic lighting, swap a background, add stylized elements like watercolor effects and more.

OpenAI is launching GPT-5.6 Sol on Cerebras at up to 750 tokens per second in July. Bleys Goodson estimates Sol may be served across 70-100 Cerebras wafers, with roughly one model layer per wafer: around 3T total parameters, 150B active, 70 layers. It suggests OpenAI did not just place a frontier model onto another inference provider. It likely designed the model around the hardware! Cerebras would move from “fast inference for smaller models” into something much more strategic: serving frontier intelligence at extreme speed. Game changer, big win for OpenAI. It cannot be emphasized enough how important this is.

Confirmed by OpenAI Tibo: GPT-5.6 Sol Ultra will be in Codex. Tomorrow is going to be an insane day.

Built a new feature over the weekend. Yesterday I turned my Notion database into an Obsidian brain graph using Fable 5. Today I plugged it into Iris. Now Iris and Hermes share the same brain graph, with semantic search powered by the Gemini Embedding 2 model. You can navigate the entire graph with gestures and use Gemini Live to focus on any node, open it, and explore your knowledge visually. Didn't show the nodes in detail because some contain sensitive data, but I'm really happy with how this turned out.

Upcoming iPhone 18 Pro will likely have a 10% larger battery. Pretty good iPhone 18 Pro: China version: 4056mAh (Physical Sim) US version: 4288mAh (E-Sim) iPhone 18 Pro Max: China version: 5391mAh (Physical Sim) US version: 5567mAh (E-Sim) For comparison: iPhone 17 Pro: China version: 3988mAh (Physical Sim) US version: 4252mAh (E-Sim) iPhone 17 Pro Max: China version: 4823mAh (Physical Sim) US version: 5088mAh (E-Sim) Via Reddit

Natural gas needs ~50× more water than solar and ~1,000× more than wind for the same load. Nature wants us to harness the sun whether we like it or not.

@ai_for_success As they say the Genie is already out of the bottle.

@kumaraneesh They can't control eveything..

Sakana AI just launched Sakana Fugu. A complete multi agent orchestration system behind a single model API. Fugu Ultra, delivers frontier level performance comparable to Fable 5 and Mythos. We are entering a new era. No more fear mongering or gatekeeping.

@MKBHD That would definitely be your loved ones

you can now teach Codex by demonstration: