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Today we're introducing Hark Handoff Handoff has been independently verified as the best internet-use model ever built, outperforming ChatGPT 5.4 & Opus 4.8 While others focus on coding, we focus on everyday life: ordering food, booking flights, shopping, & navigating the web

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Brett Adcock

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1,419,477 просмотров • 1 месяц назад •via X (Twitter)

Наука и технологииОбразованиеЗдоровье и велнес
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Exciting update for Kinstrife: we are partnering with Hooded Horse as our publisher! They'll be supporting us with production, QA, marketing, & more while we focus on developing the best game possible. Read the full update for more details:
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Exciting update for Kinstrife: we are partnering with Hooded Horse as our publisher! They'll be supporting us with production, QA, marketing, & more while we focus on developing the best game possible. Read the full update for more details:

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Introducing Jan-v1: 4B model for web search, an open-source alternative to Perplexity Pro. In our evals, Jan v1 delivers 91% SimpleQA accuracy, slightly outperforming Perplexity Pro while running fully locally. Use cases: - Web search - Deep Research Built on the new version of Qwen's Qwen3-4B-Thinking (up to 256k context length), fine-tuned for reasoning and tool use in Jan. You can run the model in Jan, llama.cpp, or vLLM. To enable search in Jan, go to Settings → Experimental Features → On, then Settings → MCP Servers → enable a search-related MCP such as Serper. Use the model: - Jan-v1-4B: - Jan-v1-4B-GGUF: Credit to the Qwen team for Qwen3 4B Thinking & Georgi Gerganov for llama.cpp.

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🗣️ Bukayo Saka on if he talks with Martin Odegaard: "Yeah briefly, but of course we know we're both focused on doing the best for our countries." 🗣️ on playing against Martin Odegaard and Norway: "Yeah he's been great. He's been in good form and not just him and his teammates. "We'll focus on them as a collective cause they're in good form and they've been good this tournament but we know our strengths and we're focused on winning the game. "Everyone knows how much quality Martin has and what he can bring to the game."

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sam altman on why they killed sora and atlas "we killed sora, which was a good product and fun and cool, but used a lot of compute and not as important as codex where we put the compute." "we killed our web browser called atlas, which again, i think was a great product. i think it was the best web browser, but not as important for us to focus on." "in a world of limited compute, limited people, limited resources, we thought really hard and we said, the general intelligence for knowledge work and eventually for science is the most important thing we can do" i feel like they want to focus on the most profitable part of the business (selling coding models to b2b and enterprise) like anthropic. image/video generation is insanely compute-intensive, and whoever wants to win needs to heavily subsidize it to win consumer market share. previously, openai was 1-2 months behind, but after they shut down atlas and sora and started focusing on coding models, they're closing the gap fast. gpt-5.6 sol is now on par with opus 5
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The #1 use case of web browsing agents isn't ordering food/booking flights it's using other agentic platforms. instead of human in the loop you have *another* agent in the loop. this creates a semi autonomous agent. this is probably how we get to agi: - vertically agents (doing one thing really well) - glued together by everything api (web browser) most llm providers will probably vertically integrate. i.e good chance we'll see "operating agents" running thousands of chatgpt/claudes instances on your behalf. ex: just watched operator using an ai spreadsheet (Otto ) to research, store and then use the data for creating a powerpoint. the only thing it needs to worry about is the high level goal and moving things around.
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The #1 use case of web browsing agents isn't ordering food/booking flights it's using other agentic platforms. instead of human in the loop you have *another* agent in the loop. this creates a semi autonomous agent. this is probably how we get to agi: - vertically agents (doing one thing really well) - glued together by everything api (web browser) most llm providers will probably vertically integrate. i.e good chance we'll see "operating agents" running thousands of chatgpt/claudes instances on your behalf. ex: just watched operator using an ai spreadsheet (Otto ) to research, store and then use the data for creating a powerpoint. the only thing it needs to worry about is the high level goal and moving things around.

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For the first time we are fundamentally changing how humans can collaborate with ChatGPT since it launched two years ago. We’re introducing canvas, a new interface for working with ChatGPT on writing and coding projects that go beyond simple chat. Product and model features: 1/ Ask for in-line feedback. With canvas, ChatGPT can better understand the context of what you’re trying to accomplish. You can highlight specific sections to indicate exactly what you want ChatGPT to focus on. Like a copy editor or code reviewer, it can give in-line feedback and suggestions with the entire project in mind. 2/ Directly edit the model's output and select a specific area for targeted editing. You control your creative work on canvas. You can directly edit text or code. 3/ Menu of shortcuts. There’s a menu of shortcuts for you to ask ChatGPT to adjust writing length, debug your code, and quickly perform other useful actions. You can also restore previous versions of your work by using the back button in canvas. 4/ Use search with canvas for research writing! As we are moving towards the new paradigm of reasoning we are fundamentally evolving the chat interface into a more collaborative human-AI interaction. Today you can say “browse / use browsing to find XYZ on the internet and write a report in canvas”

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Mikel Arteta on transfers and squad depth: Asked whether he expects business before deadline day, with injuries mounting: "As I said, we are trying to improve the squad, and until tomorrow night we're going to try to do that. I've been disconnected from the world for 24 hours because I think my energy and focus has to be on the match - I will get back on it now. "Depends if everybody's fit or not, so we can talk about today, but that scenario might change. We knew that with Willy out we had an injury in the back line - with Jurrien not fit, we're in big trouble, so we had to use Ezri, and today Mosquera - he could not continue. So we know that the depth has to be really big when you are fighting for four competitions in the manner that we play as well. So we're going to try to do that."

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Dan on why Anthropic's focused strategy has an edge over OpenAI's push across multiple markets: "The TAM is certainly not the problem. Focus is going to be a question mark. I rarely have seen any company succeed trying to go after multiple end markets at the same time. You risk not being the best at any one thing. So that is the trade-off. OpenAI is taking the strategy of let's do everything. We are going to go after Apple hardware, robotics, enterprise, consumer, science. They've been very successful in a lot of ways, but that's hard. I can't think of many examples where that's been successful. Anthropic took a different approach and just said, we are going to focus on enterprise. They've had a lot of success with coding and enterprise. I would probably err on the side of focus, but I do understand the economic rationale for trying to do as many things as once."

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Dr. Jake Scott, who helped write hospital COVID treatment guidelines, stated he lost 100+ patients—yet never tried ivermectin or HCQ. "I was going based on the best available evidence. My role was to focus on the best available evidence for therapeutics. I helped develop the guidelines. And so, yeah, we used, you know, remdesivir, if patients met eligibility. We, used dexamethasone, which clearly shows, uh, or had been shown to, to be life saving." "Did I ever use ivermectin or hydroxychloroquine? Uh, I don't think so."

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I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 variations, download the code for your favorite version, then continue iterating in your own coding agent. GLM 5.2 works really well for this use case since it's fast, cheap, and great at design. On average, you can make 3-6 landing pages with GLM 5.2 for every one you can generate with Opus 4.8. And the design variety of the GLM landing pages helps a lot with trying to think through what style you want to go with. Recast is launching soon (as a web app + skill).

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We take so much care shopping objects that will stay with us for so many years and be part of our identity — who we are. That dress you will wear for your best friend wedding, that chair you will sit on everyday or that instrument you’ll play for life. More than ever today, we now buy these cherished items online and sometimes we just wish they would be shipped to us with the same attention we took to select them. Introducing Posted, the easiest way to follow every parcel coming to you, from the Web to your doorstep. Francois Hubert and I think you gonna love it, welcome to the future of delivery!

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I built something I believe is useful for agentic coding today. I’ve been too worried it’s not the best it can be, but my wife encouraged me to fail fast if I was worried about failure, so here we are. Introducing Kontinuo by Pull Base, the continuity layer for your AI coding agents. You’re mid-task, you hit a rate limit on Claude, and you want to keep going on Codex or Cursor. But the next agent has no idea what just happened. Kontinuo fixes that, it leaves a verifiable context log the next agent can actually use and it’s really token efficient. Check it out: Use it, break it. I hope it’s useful to at least one person.
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I built something I believe is useful for agentic coding today. I’ve been too worried it’s not the best it can be, but my wife encouraged me to fail fast if I was worried about failure, so here we are. Introducing Kontinuo by Pull Base, the continuity layer for your AI coding agents. You’re mid-task, you hit a rate limit on Claude, and you want to keep going on Codex or Cursor. But the next agent has no idea what just happened. Kontinuo fixes that, it leaves a verifiable context log the next agent can actually use and it’s really token efficient. Check it out: Use it, break it. I hope it’s useful to at least one person.

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Your coding agent can run all night. It still can't tell if what it built actually works. Today we're open-sourcing the TestSprite CLl (Apache-2.0) A tool your agent calls on its own to test your app end-to-end like a real user, fix what broke, and re-check everything it ever got right. It's the same engine 100,000+ teams already use. We proved it in public, on a public leaderboard: Most correct app on the board:89% Built by the cheapest model in the field At half the cost of the priciest one You no longer need the biggest, most expensive model to ship software you can trust. Setup is 2 commands: npm install -g @testsprite/testsprite-cli testsprite init That's the last command you'll ever type - from there, your agent runs the tests itself.
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Your coding agent can run all night. It still can't tell if what it built actually works. Today we're open-sourcing the TestSprite CLl (Apache-2.0) A tool your agent calls on its own to test your app end-to-end like a real user, fix what broke, and re-check everything it ever got right. It's the same engine 100,000+ teams already use. We proved it in public, on a public leaderboard: Most correct app on the board:89% Built by the cheapest model in the field At half the cost of the priciest one You no longer need the biggest, most expensive model to ship software you can trust. Setup is 2 commands: npm install -g @testsprite/testsprite-cli testsprite init That's the last command you'll ever type - from there, your agent runs the tests itself.

TestSprite

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.Sam Altman says the best advice Peter Thiel ever gave him was to focus on what’s working. Peter was the one who convinced him to double down on ChatGPT early on: “After we launched ChatGPT, it was sort of this weird thing because people didn't really know what to use it for. It was growing super fast, but it felt very unstable, or kind of almost low-value growth.” “A lot of people in the company were like, ‘We gotta figure out something else. This is not sustainable value.’ And we were talking about this list of 5 or 6 other things that we could focus on instead.” “He was like, ‘It's an obvious mistake to do anything but this.’” “Besides the fact that it's growing, which is rare and great, and it was not growing as fast then as it did after, he's like, ‘The power of this is the power of the Google text box. It's like a text box you can type anything into, and it does the right thing.’” “He's like, ‘People have just been chasing the Google business model for 20 years and this is the first thing that's come up, and clearly the empty text box worked for Google, so why don't you just double down on that? It's growing. It's very flexible and it has all of the signs other than it doesn't fit the current Silicon Valley wisdom.’” “And I was like, ‘Okay.’ And so we went super hard on ChatGPT and it was great.”
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.Sam Altman says the best advice Peter Thiel ever gave him was to focus on what’s working. Peter was the one who convinced him to double down on ChatGPT early on: “After we launched ChatGPT, it was sort of this weird thing because people didn't really know what to use it for. It was growing super fast, but it felt very unstable, or kind of almost low-value growth.” “A lot of people in the company were like, ‘We gotta figure out something else. This is not sustainable value.’ And we were talking about this list of 5 or 6 other things that we could focus on instead.” “He was like, ‘It's an obvious mistake to do anything but this.’” “Besides the fact that it's growing, which is rare and great, and it was not growing as fast then as it did after, he's like, ‘The power of this is the power of the Google text box. It's like a text box you can type anything into, and it does the right thing.’” “He's like, ‘People have just been chasing the Google business model for 20 years and this is the first thing that's come up, and clearly the empty text box worked for Google, so why don't you just double down on that? It's growing. It's very flexible and it has all of the signs other than it doesn't fit the current Silicon Valley wisdom.’” “And I was like, ‘Okay.’ And so we went super hard on ChatGPT and it was great.”

David Senra

410,282 просмотров • 12 дней назад

More than 800 people are in the field and hundreds more are behind the scenes working to restore service to our customers. Our focus today has been on assessing damage from the storm and restoring power to critical infrastructure—like hospitals—and main electrical feeders, like in #Yarmouth as seen here today. We do our best to give an estimate of when the power will be restored. Once our crews are able to assess damage to infrastructure, those estimates will be updated. The latest information is available on the outage map: #TropicalStormLee #NSStorm
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More than 800 people are in the field and hundreds more are behind the scenes working to restore service to our customers. Our focus today has been on assessing damage from the storm and restoring power to critical infrastructure—like hospitals—and main electrical feeders, like in #Yarmouth as seen here today. We do our best to give an estimate of when the power will be restored. Once our crews are able to assess damage to infrastructure, those estimates will be updated. The latest information is available on the outage map: #TropicalStormLee #NSStorm

Nova Scotia Power

36,027 просмотров • 3 лет назад