🌍 Tether and industry partners launch the FASE Foundation to combat scams, support trafficking survivors, and pilot stablecoin aid for vulnerable communities. Building real-world impact beyond crypto. 🤝 Learn more 👇 tether.io/news/tether-and-in…

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Final from Franklin Field 🏈🔥 The atmosphere, the pressure, and the final moments are what make these games unforgettable.

🚀 Tether invests in Peso to expand USD₮ payment infrastructure across Latin America. Stablecoin adoption continues to grow. 🌎💸 Read more 👇 tether.io/news/tether-invest…

Bitcoin is doing what Bitcoin does best. 🚀

Tokenized Treasuries becoming usable collateral while still earning yield is a meaningful step for on-chain finance. 👀 Better capital efficiency, fewer unnecessary asset movements, and more institutional use cases on Avalanche. The real-world asset narrative keeps evolving. 🔺

🚀 Tether’s MDK is gaining industry support to accelerate the next generation of Bitcoin mining automation. ₿⚡ The future of mining is evolving. Learn more 👇 tether.io/news/tethers-mdk-g…

Quietly, but steadily, OpenAI is advancing the state of the art in AI. Can you see this? The o3 model is amazing. And we just got it, what, seven weeks ago? It’s become my right hand really. It doesn’t take over. I don’t delegate. But it’s the productive engine that provides structure, content, fodder, knowledge, options. 𝗕𝗲𝗹𝗶𝗲𝘃𝗲 𝗶𝘁 𝗼𝗿 𝗻𝗼𝘁 𝘁𝗵𝗼𝘂𝗴𝗵, 𝗶𝘁’𝘀 𝗻𝗼𝘄 𝘀𝗲𝗰𝗼𝗻𝗱 𝗳𝗶𝗱𝗱𝗹𝗲. Introducing “o3-pro.” Last week OpenAI quietly flicked a switch that ChatGPT power‑users immediately noticed: "o1-pro" was gone. In its place? A new model called “o3‑pro.” It’s the same “reasoning-first” architecture as o3, but you get a lot more compute under the hood, a lot more intelligence. Here’s the catch: 𝘄𝗮𝗶𝘁 𝘁𝗶𝗺𝗲𝘀 𝗮𝗿𝗲 𝗺𝗼𝗿𝗲 𝗹𝗶𝗸𝗲 “𝗴𝗿𝗮𝗯 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲” 𝘀𝗰𝗮𝗹𝗲. Why the longer wait? o3 is given a lot more compute per query. It can pause, back-track, verify its steps. And it comes with the expected menu of capabilities; live web search, Python execution, file analysis, image understanding, long‑term memory recall. In complex prompts it might be calling these tools hundreds of times, a far cry from the halcyon days of GPT 3.5! In head-to-head testing it beats o3 and o1-pro on math, science, programming, business writing and general QA. Quick highlights: • 𝗥𝗼𝗹𝗹𝗼𝘂𝘁: Pro and Team get first crack, Enterprise and API access following in days • 𝗖𝗼𝗺𝗽𝘂𝘁𝗲: Extra cycles per query give it time to back‑track, verify its thinking • 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆: Outscores o3 and o1‑pro across code, math, science, business writing • 𝗧𝗼𝗼𝗹𝘀: Ships with web search, Python, file & image analysis, long‑term memory • 𝗣𝗿𝗶𝗰𝗶𝗻𝗴: Sits at $20 / $80 per million tokens, standard o3 dropped to $2 / $8 • 𝗦𝗽𝗲𝗲𝗱: Responses can take minutes; it’s built for depth, not banter • 𝗖𝗼𝗻𝘁𝗲𝘅𝘁: Loves complex prompts, treat it like a consultant, not a chat buddy • 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀: Hits new highs on math, science and coding leaderboards • 𝗦𝘂𝗶𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Ideal for any task where correctness trumps latency • 𝗟𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻𝘀: No image gen yet, Canvas is absent, temporary chats disabled So, there you have it. o3-pro is basically saying, “Sure I’m slow, but I’m good!” I’ll take it! I needed that coffee anyway! #discoverthefuture

It’s all connected. It may not seem like it is. But it is. The AI news pops every day and we’re seeing it all in a blur; blockbuster deals, huge funding, shiny new apps, tools. But the deeper story is there hiding in plain sight. Here’s a flurry of events that transpired in just the last 24 hours: • IBM bought Seek AI and opened a Watsonx lab for data queries • Microsoft added free Sora video generation to Bing mobile • Character.AI launched AvatarFX video and social sharing • Meta targeted fully automated AI ad creation by 2026 • Creatify AI raised $15.5M for AI-made social video ads • Console netted $6.2M for an AI Slack help-desk bot • Google ships AI Edge Gallery and puts it on device • Snowflake acquired Crunchy Data to blend Postgres and AI • Musk’s xAI chases a $113B valuation in new funding • Neuralink secures $650M, begins human brain-computer trials Just another AI day in 2025 right? Are there consistent through-lines? Perhaps. Theme 1: AI is embedding itself in the tools we already use Bing, Slack, Instagram, Snowflake, Android, Neuralink, none of these were “AI products,” but each one now has a intelligence under the hood. The common thread? Convenience: bring the intelligence to the workflow. The idea? Make the AI feel like a natural extension, not a separate destination. Theme 2: Generative tech is pushing the limits on modality Video clips from Sora, animated avatars from Character.AI, polished ads from Creatify, even signals straight from a neural implant… Every story shows AI crossing modalities. Why is this significant? The addressable surface for creativity becomes accessible to everyone. Theme 3: The distance between data, compute, and model is collapsing IBM snaps up a query engine, Snowflake folds in Postgres, Google packs models on-device. This convergence matters. Why? When inference happens next to the bits, product output feels immediate, and immediacy breeds trust. The wall between “database” and “AI engine” is crumbling fast. Theme 4: Mundane tasks are migrating from humans to machines Ad copy, campaign targeting, database wrangling… jobs once carried out by humans are now being shifted to AI. It's not about firing people; it’s about raising the floor of what counts as baseline productivity. Humans are getting moved up the stack, towards judgment, relationship, oversight. Theme 5: Capital is pouring into “intelligence” conduits that promise scale The numbers are stunning. $113Bfor xAI, $650M for Neuralink. But the logic’s obvious. If you’ve got the data, the talent, the compute, you can raise the capital. Investors can’t risk missing out so they’re investing in optionality. “Money flows downhill” … towards the momentum. I’m sure there’s a dozen other memes, themes, but the bottom line is, “intelligence” is now becoming democratized. #discoverthefuture

There are moments in time that are pivots, doors that open, 𝘀𝗶𝗴𝗵𝘁 𝘁𝗵𝗮𝘁’𝘀 𝗴𝗿𝗮𝗻𝘁𝗲𝗱 𝘂𝘀 𝘀𝗼 𝘄𝗲 𝗰𝗮𝗻 𝗴𝗲𝘁 𝗮 𝗴𝗹𝗶𝗺𝗽𝘀𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲, innovation that changes the way we live, the way we move ahead, the way we think and operate. This was true in 1977. Sure, there were other “personal computers” that were around at the time. Radio Shack was pitching the TRS-80 and there was the Commodore PET and of course, the Atari 2600, all popular in their own way. And then there was the Apple II which debuted 48 years ago today. Now, it was priced dramatically higher than all of those above and yet it outsold them by a wide margin. One version with a whopping 48K of RAM sold for $2,638 ($𝟭𝟰,𝟬𝟬𝟬 𝗶𝗻 𝟮𝟬𝟮𝟱 𝗱𝗼𝗹𝗹𝗮𝗿𝘀), and if you needed a 143K floppy drive you had to fork over another $495. How did Steve Jobs put it? “𝗪𝗲’𝗿𝗲 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗽𝘂𝘁 𝗮 𝗱𝗲𝗻𝘁 𝗶𝗻 𝘁𝗵𝗲 𝘂𝗻𝗶𝘃𝗲𝗿𝘀𝗲. 𝗢𝘁𝗵𝗲𝗿𝘄𝗶𝘀𝗲 𝘄𝗵𝘆 𝗲𝗹𝘀𝗲 𝗲𝘃𝗲𝗻 𝗯𝗲 𝗵𝗲𝗿𝗲?” Dent it they did. It wasn’t long before this interesting software #VisiCalc came along, a “visual calculator” (known to you as a spreadsheet). And then #WordStar for word processing and #dBase for databases. Suddenly, unbelievably, small businesses could perform financial analysis and create written documents and track customers in ways never before possible. They found it easily worth the investment. Somewhere between 5 and 6 million Apple II series computers would be sold before its end of life in 1993. What is today’s Apple II? #discoverthefuture