Jev makes it easy to add natural language intelligence into the key parts of any application at scale, far cheaper and faster than has ever been possible.
50x faster.
100x cheaper.
Reliable as duck.
引用@motherduckText classification in MotherDuck just got ~50x faster at ~1% of the cost.
prompt_jev() is a SQL function powered by Jev, TypeSafe's new system one model. 100k rows: 40s, $0.50, frontier-LLM accuracy. The LLM took 32 min and $37.
Read … ↗
We have seen such an immense swell of demand that we have to temporarily pause signups for Jev. We need to ensure quality of service for our existing signups, which will continue to function. We are working diligently to ensure open access to Jev for everyone as soon as we can. Thank you.
The number one trending model on HF is an open-source multilingual system 1 decision model, just a few days after Jev started trending. The open-source AI community is awesome! https://t.co/lqX9etEJYG
Amazon cuts off "AI Assistant' agent from shopping!
They claim it's against ToS and have some sort of detection thing (if that's only IP they are going to have a bad time!)
Prediction, this is reversed by this time next year, and they have partnership with the biggest assistants then (Muse prob? Grok? Instinct? Whatever openai's thing is going to be)
引用@buccocapitalAmazon cuts off Muse.
While I am bullish Meta and Muse, I think many people are overlooking the digital knife fight that’s about to occur
Nobody wants to get commoditized or layered here. Let the games begin https://t.co/tZBTXBhA4Q↗
On the SAME day as @amazon bans @Muse - Tobi announces a deep integration with Muse for agentic checkout.
Folks the world is changing under our feet!
Kudos for everyone who jumped on board! @Shopify@stripe@AIatMeta - everyone! Shopping is a TEDIUS tasks for so many off us that we'd pay more to take this off our plate and give to our assistants!
引用@tobiWe are excited to announce we are partnering deeply with Muse to enable agentic checkout with Shop Pay on all Shopify stores, offering people an easy and delightful way to shop and check out with Muse. https://t.co/KmRlKjoLoq↗
there's a future where nobody goes to amazon anymore and just shops via their agent who (in the background) taps into the database of products across ALL shopify stores.
while amazon blocks agentic shopping, shopify fully embraces it.
can't wait for that future.
引用@tobiWe are excited to announce we are partnering deeply with Muse to enable agentic checkout with Shop Pay on all Shopify stores, offering people an easy and delightful way to shop and check out with Muse. https://t.co/KmRlKjoLoq↗
Here's how I run my software factory:
1. During the week, I collect ideas + inspo.
2. On the weekend, I give the list to an agent to rank the best ones.
3. I spin up ~5-10 parallel agents to build POCs.
4. I kill ~60%, iterate on the better ones, and end up with 2-3 solid demos.
5. I then polish & share those demos on X.
Then rinse and repeat!
I still build some ideas immediately, but I'm increasingly using weekends to let agents explore ideas in parallel.
当代码生成速度上升，验证链先被压满。Linear公开复盘“AI coding has made CI a bottleneck”，说明组织已经不得不重做CI；Foremerge则把更早的一层问题产品化：在多个Agent动手前，先检查它们的意图是否冲突。
引用@ArtificialAnlysMiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier
@Xiaomi has just released MiMo-V2.6-Pro, an open … ↗
Training models is becoming easier and easier - just look at this and TRL - especially with agents!
You're missing out if you're still using off the shelf models for all your tasks!
引用@whitecircleIntroducing Halo, the best framework for post-training of open-source models.
Halo delivers up to 2.8x the throughput of stock TRL with less peak memory, while models stay in their native HuggingFace format.
Star us on GitHub: https://t.co/3mAiUljdrN … ↗
2.8倍为项目方自报上限，不应当成所有模型与集群的默认收益。
Simon Hoiberg给出的激进路线是：用前沿模型探索，再为Qwen、DeepSeek等开放模型做紧密harness、护栏和评测。它是个人策略，不是已经被证明的普适答案，但把退出成本具体到了工程层。
Here's the best way to use OpenAI's/Anthropic's latest frontier models.
- Wait for China to distill them.
- Use them to build tight, custom harnesses, safeguards, evals, and tooling for Qwen/DeepSeek.
Then use Qwen/DeepSeek for your work. Once a new model is out, repeat the two steps above.
引用@SimonHoibergSince the Codex reset yesterday, I already depleted the weekly limits of one of my Codex accounts.
This account exlusively uses GPT-5.6 Sol. I'm tracking all token consumption through my OpenClaw setup, so it's very easy to compare to previous … ↗
Spent the morning replacing a SaaS vendor. Infra-related. They had raised $2 million, one of the smaller YC companies from back in the day.
It wasn't even about saving money, it's just "neater" to control more of the stack, if it's easy to migrate.
Don't build for devs!
他随后把2026年的SaaS转向写成一句话：“Competing on features is dead”。这是一位经营者的判断，不是整个市场的定论；但它与前一天“开发者没时间自己做”的护城河正在消失，构成连续证据。
Building something outside of AI but applying AI to it is now much more competitive than just building another AI product I think
引用@yongfookThinking about building a “hedge” SaaS against AI. I’ll continue building in the AI space but at the same time build a super boring app that has nothing to do with AI, has non-tech users, as a hedge against AI eating everything at the cutting edge. ↗
You can now track your credit score in ChatGPT, and stay informed when things change.
Securely connect your @Experian credit report and VantageScore® 3.0 credit score to get personalized insights into what’s affecting your score and how it relates to your finances and goals.
Available in Finances … 全文↗
I used to be a hard-core fan of Claude since forever, never switch to another API or LLM since Opus 4.8 came out
Until this August, whatever they did, I haven't been screaming and annoyed at it's work like this before and moved completely over to OpenAI + Grok
I thought I was going crazy, but … 全文↗
引用@LonAfter Anthropic made Fable 5 permanently available in subscription plans, I noticed a large drop in performance. The model felt dumber, and I couldn't explain why.
Measured five different ways, August delivered dramatically fewer thinking tokens than July. … ↗
Google now makes 3 completely different laptop product lines:
- Google Pixelbook
- Google Chromebook
- Google Googlebook
I never understand why Google's branding and naming is always so confusing
I'd name it maybe Chromebook Pro?
引用@ssamatGooglebook is officially here! I’ve been so excited to share the details with the world.
Today, many of us rely heavily on laptops to get work done, but we think there is an opportunity to rethink the category to address the needs of people today. So we … ↗
really struggled with getting *any* seo traction on one of my sites. and while this still isn't impressive on a pure impressions-count level, there was an obvious change in trajectory once i started using the /seo skill i built.
https://t.co/tqbgttXTJohttps://t.co/m1GeNcvntP
The easiest way to land your first 10 customers as a new indie founder is to find your ideal prospect on social media and have an honest conversation with them. Period.
Where most founders mess up is turning it into a full outreach campaign with a copy/paste template.
That's not a conversation. … 全文↗
Glad to see this finally ship.
It was abundantly clear to me that basically every retail narrative starts on X—yet the insights were never directly actionable.
This is just one small step in closing the gap.
As I have been saying for years: Writing is fundamentally the transfer of information from your brain to my brain. If you have 1000 bits of semantic information you want to transfer, you can't give 300 bits of semantic information to an LLM and have it fill in the remaining 700, because it doesn't know what those 700 bits are. If it's able to guess those 700 bits correctly, then they aren't true semantic information, and you really only have 300 bits you want to transfer. You might as well trans …
As someone who was buying hardware in the late 1990s, it is hard to overstate the difference in buying experience between Sun or Digital (DEC) and someone like Dell. The former forced you into a live sales meeting, endless quote revisions, it was a nightmare. I remember calculating the server rails and power cords for a new Alpha server were going to cost more than a shipped/delivered Dell server that I could get the next day.
I seem to recall Anthropic going on record saying that they don't do anything to model performance to stretch their compute capacity. I've anecdotally noticed massive peaks and troughs in performance week to week (albeit with Opus, not Fable). I wonder what their official explanation for this behavior is.
You can now track your credit score in ChatGPT, and stay informed when things change.
Securely connect your @Experian credit report and VantageScore® 3.0 credit score to get personalized insights into what’s affecting your score and how it relates to your finances and goals.
Available in Finances for Plus and Pro users in the U.S. on web and the latest versions of our iOS and Android apps.
AI Agent - An AI with a loop, tool calling and maybe a harness
AI Assistant - Has it's own computer, is proactive, knows things about YOU the user, has memory, can be helpful
All AI assistants are agents but not all AI agents are Assistants
引用@altryneGuys, @bot@Muse Instinct and the upcoming Aeon from OpenAI (rumored) are ... ASSISTANTS!
Let's call them that, they are assisting people in their daily lives. Let's move away from "Agent" it's too broad!
Thank you for coming to my ted talk! ↗
Agreed + a @moxie hardened secure confidential VM is coming!
We covered this 2 weeks ago on Muse release week! (feels so long ago) https://t.co/vKlbWrwI9S
引用@herrmanndigital"You're really going to give Meta access to your Gmail, Shopify, Calendar, as well as bank info with this Muse thing?"
Yes, Yes I am.
I actually trust Meta more than any of these AI companies simply because of the amount of scrutiny and legal crap they've … ↗
Guys, @bot@Muse Instinct and the upcoming Aeon from OpenAI (rumored) are ... ASSISTANTS!
Let's call them that, they are assisting people in their daily lives. Let's move away from "Agent" it's too broad!
Thank you for coming to my ted talk!
引用@latentspacepodJev and the System One Model: RLCD, intelligence/$, reliable AI, & the end of chat-first AI https://t.co/H2bZXCENyW@typesafeai CEO @CompleteSkeptic explains why AI can solve extraordinarily hard problems yet still fail to automate basic work, why Jev is … ↗
I'm out btw, over 30B tokens thank to all yall, so if you wanna make this thread an exchange thread, put your own tokens here, someone may pick it up and you and them get $1B !
引用@altryneHey, if you've signed up for @Muse in the last 48 hours, and didn't claim your 1B tokens yet (which trust me, you won't be able to get to), use this code!
Code: 3OHRDD
https://t.co/Gp1kp6eu7E↗
On the SAME day as @amazon bans @Muse - Tobi announces a deep integration with Muse for agentic checkout.
Folks the world is changing under our feet!
Kudos for everyone who jumped on board! @Shopify@stripe@AIatMeta - everyone! Shopping is a TEDIUS tasks for so many off us that we'd pay more to take this off our plate and give to our assistants!
引用@tobiWe are excited to announce we are partnering deeply with Muse to enable agentic checkout with Shop Pay on all Shopify stores, offering people an easy and delightful way to shop and check out with Muse. https://t.co/KmRlKjoLoq↗
A rare @natfriedman post about Muse and how it's taken an inspiration from OpenClaw, great read!
I obviously got really annoyed at the "LITERALLY" because @muse is so much farther than OpenClaw in many aspects, not having to install it ... for one!
But alos, under the hood there are things like per contact MD file, there are dreaming things (that I'm not sure who innovated first on, Hermes or OC? I don't remember truly) and dream files
There's also, oh you know... free tokens, free VM with no mac mini, self onboarding where the product teaches you how to use it, ideas tap, multimedia controls and just so much more that creates this as a mature product that shouting the word "LITERALLY" when you see some of the same patterns and names from the OpenSource mind you project that the creator really did innovate on, seems .. annoying.
Kudos on Nat for addressing this with credit to @steipete who did really change the world!
引用@anshnandaBruh…
Muse is LITERALLY Openclaw for normies.
It’s actually just openclaw. https://t.co/XdSK1HMu5g↗
Wet simple way around this:
Add a user home proxy feature (grok already does)
Another way is: Amazon gets sued for this by users or users go
Elsewhere where their assistants are welcome
引用@buccocapitalAmazon cuts off Muse.
While I am bullish Meta and Muse, I think many people are overlooking the digital knife fight that’s about to occur
Nobody wants to get commoditized or layered here. Let the games begin https://t.co/tZBTXBhA4Q↗
Amazon cuts off "AI Assistant' agent from shopping!
They claim it's against ToS and have some sort of detection thing (if that's only IP they are going to have a bad time!)
Prediction, this is reversed by this time next year, and they have partnership with the biggest assistants then (Muse prob? Grok? Instinct? Whatever openai's thing is going to be)
引用@buccocapitalAmazon cuts off Muse.
While I am bullish Meta and Muse, I think many people are overlooking the digital knife fight that’s about to occur
Nobody wants to get commoditized or layered here. Let the games begin https://t.co/tZBTXBhA4Q↗
对Amazon封堵购物助手的即时判断，长期是否逆转仍是预测。
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转推2026-09-21 RT @altryne: This is almost a Haiku but from Astra
"You asked for Jev to rank the tools.
I changed that into hiding tools.
Then built ext…
转推2026-09-21 RT @altryne: hmm why is @bot logging in as my friend from Xihongmen, China? 🤔
I didn't believe him at first but it doesn't seem to be a c…
Peter Gostev@petergostevAI27.0K粉 · 13条实际测试Jev与其他模型玩游戏，对“解决100个数学问题”的表述要求具体清单。
Jev plays RollerCoaster Tycoon 2 - unfortunately it didn't really do anything useful. It built some rides at the beginning and then got stuck.
Setting this up wasn't simple so maybe someone could do it better. But it isn't a magical game playing model out of the box. For harder games we do need the intelligence of smart models.
引用@petergostevThis is the one you've all been waiting for: Jev plays RollerCoaster Tycoon 2
https://t.co/hVvs4ycXa2↗
"this model has now resolved more than 100 long-standing open problems across most areas of mathematics"
I'd appreciate a heads up which ones they are, just a list of 100 titles, no need for papers
引用@OpenAIWe’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics.
The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, … ↗
Advisor: "Believe in yourself. Make a breakthrough"
引用@OpenAIWe’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics.
The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, … ↗
Can't wait for this to be cancelled in 18 months' time!
引用@GoogleIntroducing Googlebook, a new category of laptop, available for preorder today.
💪 Crafted with 2.8K OLED touchscreen displays, 14 hour battery life and all the performance needed to power your ideas
📳 Engineered to sync effortlessly with your @Android phone, … ↗
Do you build the most efficient stack & scale it? (e.g. OpenAI, DeepSeek)
Or do you build the biggest models and use them to make your stack more efficient? (e.g. Anthropic)
Astra won on the main goal pretty convincingly 1000 vs 750 visitors at about 42 mins of gameplay, but Fable's overall park value is quite a bit higher (secondary goal was to make most money). https://t.co/eMzolUWJ7r
引用@petergostevRoller Coast Tycoon: Astra vs Fable, now playing via an MCP, that I built for them, to see if computer use was the issue with some of their gameplay https://t.co/mZdGtZeaYj↗
Roller Coast Tycoon: Astra vs Fable, now playing via an MCP, that I built for them, to see if computer use was the issue with some of their gameplay https://t.co/mZdGtZeaYj
I cannot get this chart out of my head and how excited it makes me for the capabilities ahead.
I burnt hundreds of billions of tokens on various maths problems - I didn't solve anything.
The story was the same every time:
- The model starts of well, then I come back to it in a day and it descended into solving local little 'puzzles' and doing endless inconsequential calculations
- I then spend time coming up with a structure to avoid this, outer loop, another agent to monitor, synthesis / abstraction steps - anything I can think of. That works on for a bit.
- I come back a day later, we are back to: "we did a lot of maths, but we've just been going around in circles and made no real progress". Great.
What this tells me is that not that models were bad at maths per se, but they just lacked the ability to think like humans do. Good humans think about a problem, try a few things, maybe read around, come back to the problem, try it from different angles and so on. Humans a lazy and instead of wanting to calculate every instance of the problem by hand, they want to think about how to think about the problem more systematically and solve it that way.
Current breed of agents, on the other hand, just seem to LOVE just solving little puzzles, running validations and doing a lot of 'cargo cult' level of maths. They are happy just keep doing calculations with absolutely zero progress on the actual problem at hand.
That's why this chart excites me so much. Even at the lowest level of test-time compute (x-axis is not labelled unfortunately), the performance of the 'internal' model is far ahead of anything that Astra could reach with unlimited tokens.
To me, this signals that the model isn't just better with lots more thinking tokens, it is likely approaching the problems in a qualitatively different way. If this is true, the implications of this would be far broader, far beyond just maths problems. Future models should have far deeper judgement, abstract thinking and not get stuck in the unimportant details.
I'm so excited about this. This will be big.
Training models is becoming easier and easier - just look at this and TRL - especially with agents!
You're missing out if you're still using off the shelf models for all your tasks!
引用@whitecircleIntroducing Halo, the best framework for post-training of open-source models.
Halo delivers up to 2.8x the throughput of stock TRL with less peak memory, while models stay in their native HuggingFace format.
Star us on GitHub: https://t.co/3mAiUljdrN … ↗
引用@ArtificialAnlysMiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per Intelligence Index task, it lands on the Intelligence vs. Cost per Task Pareto frontier
@Xiaomi has just released MiMo-V2.6-Pro, an open … ↗
The number one trending model on HF is an open-source multilingual system 1 decision model, just a few days after Jev started trending. The open-source AI community is awesome! https://t.co/lqX9etEJYG
lots of them! Reality is that LLM APIs are far from being the best way to do AI for 90% of use cases in the real world (they're too overkill, slow, expensive, hard to control,...). We will discover that in the coming years as AI matures and gets adopted widely.
引用@willdepuei've been surprised at the response to Jev, but it makes sense in retrospect. sure it's just a classifier but it's a zero shot classifier with frontier-ish intelligence. i'm surprised someone hadn't built it before. i wonder what other old ML ideas are also … ↗
Most companies that shut down give up their impact. This startup did something much better: they open-sourced 1,274 hours of egocentric robotics data. 13,451 recordings of humans doing everyday tasks, as a gift to the robotics community. Thank you @eidon_ai!
Open source has a superpower: work can outlive the organization that created it. More startups should do this!
https://t.co/oCaVmZTFLi
▸ 折叠10条(转推/噪音)
转推2026-09-22 RT @Nandakishorm1: The first model of Laya was created with a single over night training and fine-tuning. It only took 15 hours from traini…
转推2026-09-22 RT @theo: Did a few quick tests and these seem very very legit. 2.6 Pro in particular is doing well in some pretty hard tasks.
转推2026-09-22 RT @AikidoSecurity: Introducing Altar-1, our first open-weight security model.
Frontier-grade defensive AI, built to deploy. Own your own…
转推2026-09-21 RT @ariG23498: Wake up babe!
State of the art tokenization framework just dropped.
> multiple language support
> multi-thread scaling
> m…
转推2026-09-21 RT @whitecircle: Introducing Halo, the best framework for post-training of open-source models.
Halo delivers up to 2.8x the throughput of…
转推2026-09-21 RT @zephyr_z9: Pretty insane result
They spent 130 hours, 75B tokens, and $2.6M on RL to achieve this result https://t.co/Lg6FHtLqS7
转推2026-09-21 RT @ArtificialAnlys: MiMo-V2.6-Pro debuts as the top open weights model on the Artificial Analysis Intelligence Index (46). At $0.13 per In…
转推2026-09-21 RT @victormustar: Alert: Xiaomi just open-sourced MiMo-V2.6.
Two natively omnimodal models, Pro and Flash, under MIT license 🔥. Pro scores…
转推2026-09-21 RT @Polymarket: JUST IN: Startups are increasingly building custom AI models using open-weight alternatives to cut costs & reduce dependenc…
转推2026-09-21 RT @art_zucker: Happy to officially bring you the new SOTA `tokenization` library.
We focused on all languages, multi-thread scaling, minim…
We have seen such an immense swell of demand that we have to temporarily pause signups for Jev. We need to ensure quality of service for our existing signups, which will continue to function. We are working diligently to ensure open access to Jev for everyone as soon as we can. Thank you.
Jev makes it easy to add natural language intelligence into the key parts of any application at scale, far cheaper and faster than has ever been possible.
50x faster.
100x cheaper.
Reliable as duck.
引用@motherduckText classification in MotherDuck just got ~50x faster at ~1% of the cost.
prompt_jev() is a SQL function powered by Jev, TypeSafe's new system one model. 100k rows: 40s, $0.50, frontier-LLM accuracy. The LLM took 32 min and $37.
Read … ↗
转推2026-09-22 RT @TheIshanGoswami: Jev with Exa is INSANE.
> Jev without websearch confidently gives wrong outputs
> Jev with websearch is literally muc…
Which codebase design techniques from the pre-AI era still help agents?
Deep modules, adapters/seams etc.
Writing the 'codebase design' part of my new course and want to make sure I nail it.
引用@CompleteSkepticAfter co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• … ↗
“The group will advise on the review and communication of emerging results: they will help OpenAI assess their significance, advise on how to coordinate their dissemination, and advise on academic and professional standards of mathematical research.”
“We want to put capable tools in mathematicians’ hands so they can pursue the questions they know best and develop new ideas.”
“The group will operate independently from OpenAI. The group will have the freedom to offer advice we have not requested, comment on OpenAI’s impact on mathematics, and make its advice public. Its value depends on its members being able to exercise their own judgement and challenge ours. Its members will not be paid by OpenAI, and the group can change its membership as it sees fit.”
I’m biased, but I love this approach!
引用@OpenAIWe’re working with an independent advisory group of mathematicians to help OpenAI responsibly share advances in AI and mathematics.
The group will advise on how we assess and communicate new mathematical results, uphold academic and professional standards, … ↗
facts! computer use in codex feels like magic
in 99% of the cases it *just* works and the 1% it doesn’t, you can just prompt codex to try a different approach
more than the utility the whole setup process + the ease of use is simply delightful
on top of that @AriX and team just somehow keep making it better week over week!!
引用@quintendfOpenAI's acquisition of @skybysoftware / @AriX has to be the single most underrated acquisition of this cycle... Codex is still *so* much better at computer use, and it might be the only frontier capability where the lead hasn't changed hands in the last ~6 … ↗
Here's how I run my software factory:
1. During the week, I collect ideas + inspo.
2. On the weekend, I give the list to an agent to rank the best ones.
3. I spin up ~5-10 parallel agents to build POCs.
4. I kill ~60%, iterate on the better ones, and end up with 2-3 solid demos.
5. I then polish & share those demos on X.
Then rinse and repeat!
I still build some ideas immediately, but I'm increasingly using weekends to let agents explore ideas in parallel.
转推2026-09-21 RT @techartist_: This flamethrower is inspired by Dan Greenheck. Starting with only a screen recording as a visual reference, it took me tw…
转推2026-09-21 RT @andreeliasdev: This might be the future of education! 🤯
I decided to test the GPT-Live-1 API and built a real-time chess instructor…
转推2026-09-21 RT @ProductHunt: What a turnout for our GPT-6 Astra Challenge with
@openAIDevs! 5 teams rocketed to the top , winning $10k in @openai API…
Philipp Schmid@_philschmidAI121.1K粉 · 1条提醒别只盯编码Agent，超快、廉价、多模态模型会打开更多用途。
Love all these Jev demos, replications and projects. They show how much becomes possible with ultra-fast, multimodal models that are cheap enough to use freely.
We are so focused on coding agents that it’s easy to forget how much else AI can do.
Simon Willison@simonwAI224.6K粉 · 1条整理Jev与System One决策模型这一新类别的笔记。
I just sent $30,000 worth of @higgsfield_ai API credits to 30 people who completed the escape game 🎉
Check your email!
And if you've built something already, post it below.
引用@ElitzaVasilevaJust found out I won $1,000 in Higgsfield API credits from the puzzle @marclou posted a few days ago 🤯
Thank you so much, Marc!
Really excited to see what I can do and generate with it 🤩 https://t.co/p7wlWHBx4j↗
I just read my first AI book.
Two months ago, I asked ChatGPT to imagine what the world might look like in 2050.
The answer was very interesting, so I asked it to write an entire fiction book set in that future.
It generated a ~100-page story about a world where AI gets so good at predicting human behavior that it can prevent tragedies before they happen.
The story explores a simple question: if AI could make the world safer by slowly taking away our ability to make mistakes, would we let it?
Among all the futuristic visions in movies and books, this one feels the most plausible to me.
The v1 of the book was a bit slow, so I asked ChatGPT to make a v2 more dynamic.
Here’s the book: https://t.co/4XSR40bUIJ
The chat expired, so ChatGPT made a new version. We might not be reading the same version.
I added keyword groups to https://t.co/3JtsA6kIng
There are 2 groups by default: Your brand & Competitors.
Use them in mentions and analytics to...
🔎 find features people request from competitors
📢 see what people praise about competitors
🤺 compare who’s mentioned the most
The pie chart below shows mentions of my startup marketplace @trust_mrr vs. @acquiredotcom over the last 7 days.
+ Available via API/MCP 🤖
▸ 折叠5条(转推/噪音)
转推2026-09-21 RT @marclou: I just read my first AI book.
Two months ago, I asked ChatGPT to imagine what the world might look like in 2050.
The answer…
转推2026-09-21 RT @ElitzaVasileva: Just found out I won $1,000 in Higgsfield API credits from the puzzle @marclou posted a few days ago 🤯
Thank you so mu…
转推2026-09-21 RT @alexwestco: building a $1M business for the second time.
i'm launching a new product today! product number 5 since i started building…
转推2026-09-20 RT @marclou: It's funny how DataFast's growth was slow but never declined month over month.
God bless recurring payments. https://t.co/61Q…
转推2026-09-20 RT @marclou: I added keyword groups to https://t.co/vjhTLjM5sA
There are 2 groups by default: Your brand & Competitors.
Use them in menti…
Glad to see this finally ship.
It was abundantly clear to me that basically every retail narrative starts on X—yet the insights were never directly actionable.
This is just one small step in closing the gap.
How important is AI to Meta? Here’s one easy tell:
One of the launch features of the Muse app was auto-negotiating for stuff on Facebook Marketplace.
The poor product manager who owns Marketplace knows that millions of bots lowballing sellers will eventually kill the product.
But this was escalated to Zuck by the Muse team and he said: “OK, we’ll poison Marketplace…but just a little.”
There are so many seasoned software executives who are completely out of their element with the types of products that will breakout in the next few years.
Over the last 20 years, their brains were wired to build apps that deliver value by outputting deterministic results, but AI produces value from probabilistic results. This is such a different way to approach how something should work.
Young people who are thinking in this way from the outset will be at a significant advantage -- in the same way they were advantaged when thinking about how products could be social in 2010.
The vast majority of large companies survive purely by launching things and discovering what works by Process of Elimination.
There is no rhyme or reason -- or conviction -- in anything they do.
Google now makes 3 completely different laptop product lines:
- Google Pixelbook
- Google Chromebook
- Google Googlebook
I never understand why Google's branding and naming is always so confusing
I'd name it maybe Chromebook Pro?
引用@ssamatGooglebook is officially here! I’ve been so excited to share the details with the world.
Today, many of us rely heavily on laptops to get work done, but we think there is an opportunity to rethink the category to address the needs of people today. So we … ↗
Today I tried to make my own electrolyte drink for the gym
It's just sparkling water, with a squeezed lemon and 1/8th teaspoon of salt! https://t.co/eqycaQW2xp
Building something outside of AI but applying AI to it is now much more competitive than just building another AI product I think
引用@yongfookThinking about building a “hedge” SaaS against AI. I’ll continue building in the AI space but at the same time build a super boring app that has nothing to do with AI, has non-tech users, as a hedge against AI eating everything at the cutting edge. ↗
What was that meme/theory that the world is full of sociopaths but most people can't detect them except another group of people (that I forgot the name of)?
Same with this article from yesterday
Gay acceptance is now rapidly dropping in the Netherlands
The real reason is Middle Eastern and North African (MENA) immigrants are extremely against homosexuality
But media isn't allowed or won't ever write that
It's ironic that the gay acceptance we fought for for decades in the Netherlands is being destroyed by progressive policies that keep continously importing low quality immigrants from cultures that are completely opposed to us
引用@levelsioThis is so hilarious but honestly tragic European media can't and won't report on this
They're all posting articles reading ability, intelligence and education levels are going down but actually they go up if you exclude immigrant kids
It'd be much more … ↗
This is so hilarious but honestly tragic European media can't and won't report on this
They're all posting articles reading ability, intelligence and education levels are going down but actually they go up if you exclude immigrant kids
It'd be much more useful if they reported the truth so we could improve education for everyone!
引用@williameijerGermany's PISA score rises 41 points if you exclude immigrant kids. Switzerland: +30. The UAE's score drops 45 points without immigrants.
Singapore, Macao, the UAE, and Qatar recruit immigrants smarter than their native populations; Europe, the opposite … ↗
引用@calotonteriasLa edad solo explica un 2,5% de la variación de testosterona entre hombres, mientras que el exceso de grasa corporal explica un 18-20%.
Lo que más reduce tu testosterona es ser sedentario, no entrenar fuerza, tener exceso de grasa corporal, no tomar el sol, … ↗
Cheap hotels are now generally better than expensive hotels because they're not run by ESG eco hotel brands whose ACs gaslight you and make you wake up at night in sweat!
Crazy
引用@johnkonradMy month-long California vacation is over. I spent most of it on my yacht—but I also stayed in a number of motels.
Yes. Motels. Cheap motels.
I normally stay at Hiltons. The first week of my vacation, I did. Then I woke up sweating in the middle of the … ↗
You're right, it was an elementary school not a military base. I'm sorry for the confusion.
Would you like to learn more about elementary schools?
引用@InsiderWN#BREAKING: Pentagon blames flawed intel and AI for strike that killed at least 123 Iranian children. ↗
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转推2026-09-22 RT @lost_nomad__: - Germanic, ‘earn/deserve’ money: a moral weight from working
- American, ‘make’ money: new wealth is created, not a fixe…
转推2026-09-21 RT @yongfook: There's a whole category of SaaS predicated on the moat of "devs don't have the time to do this themselves" and that moat is…
转推2026-09-20 RT @denisyurchak: Yerevan 🇦🇲 is the only place in the world where you can get a European lifestyle, Middle Eastern taxes, and South-East As…
转推2026-09-20 RT @AlexBurlis: I got sqlite pilled by @levelsio so I started migrating my projects
largest db with least critical userbase/revenue-stream…
DHH@dhhindie887.7K粉 · 6条放大Agents on Rails的模型成本评测，继续密集展示Omarchy生态与线下广告。
Astra is an incredible bargin compared to Fable! And look at Luna on max too!! @openai's return to the top is something else. Maybe this is why Anthropic finally agreed to do AGENTS.md? 😄
引用@railsAgents on Rails: You asked, so we turned every model in Agents on Rails up to its max effort level.
The result: more effort/reasoning doesn’t always mean better results.
@OpenAI's models made the biggest gains, costs nearly doubled overall...and the newest … ↗
Agents on Rails的高努力评测被DHH解读为OpenAI成本优势；应回到原始基准看任务与价格。
So freaking cool! We're running Omarchy ads in the center of Copenhagen on Rådhuspladsen this week. Design by @Dennis_Rye and funded by @sonderby 👏
There's even a billboard generator available if you want to do this in your city: https://t.co/0lDoMAZfIE
引用@Dennis_RyeOmarchy week has started in Copenhagen! Thank you @sonderby for collaborating and helping fund this. And thank you @dhh for letting Peter and I do something crazy. @OmarchyLinuxhttps://t.co/erMbQYqiFY↗
Lose the attitude, embrace optimism. Doctor's orders!
引用@NTFabianoRepetitive negative thinking is linked to Alzheimer’s protein buildup in the brain. https://t.co/AHUyqBAgTc↗
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转推2026-09-21 RT @jankeesvw: When I switched to Omarchy, this was one of the things that was stopping me: I really want my (latest) iPhone pictures avail…
转推2026-09-20 RT @SiliconForested: I put Omarchy on my 9 year old's laptop (M1 Air 8gb) about two weeks ago.
Now he's working directly with Claude to ma…
转推2026-09-20 RT @enunomaduro: so @taylorotwell asked me this week to make php / laravel install on omarchy to be stupid fast
@dhh just merged it
4.82s…
转推2026-09-20 RT @Gardnmi: I said was done with Omatari but I forgot to add my favorite game from my childhood, "Contra".
OmaContra Coming Soon....Only…
转推2026-09-20 RT @Gardnmi: Had to share one more update because its epic, but I'm going to focus in and finish this. Next update will be the finished ga…
转推2026-09-20 RT @erikrjohansson: My Omarchy theme collection started to get out of hand. So I built an extended Theme Picker plugin with favorites, coll…
转推2026-09-20 RT @AlexFinn: Linux is so obviously the future
Open source model controlling an open source agent harness working on an open source operat…
转推2026-09-20 RT @SimonHoiberg: I couldn't be more thrilled! 👏
I've been on Linux for the past 20 years (never owned an Apple product, used Windows here…
Alex Finn@AlexFinnindie474.6K粉 · 3条高强度推广Grok 4.7工作流；窗口前还系统讨论个人Agent汇集隐私与交易权力。
Grok 4.7 just released and it's an EXCELLENT model
It was trained FOR Grok Bot
Meaning this is a fully agentic model trained to do your knowledge work better than you can
In this video I show you how to use Grok 4.7 and a Grok Bot workflow that will 10x your productivity: https://t.co/vfVsbgIi2C
It happened. Grok 4.7 dropped
Better intelligence than Opus 5. Half the price
Fully baked into my favorite AI agent harness at the moment: Grok Bot
If you haven't tried using cloud cursor agents inside Grok Bot, now is by far the best time to do it
Choose a project you want to work on, connect your github, ask a grok bot to do work on it
It will spin up Cursor cloud agents and write code in the cloud. Lightning fast and incredibly smart
I recommend using a project management tools like Linear or Notion to make a bunch of tasks first, then have cloud agents just tear through them all 1 by 1.
You'll get a massive amount of work done without much oversight.
Big opportunity to lock in right now and get ahead of the curve with new tech
Take my steps up above and get to it
引用@SpaceXAIGrok 4.7 is here.
It's a notable improvement over Grok 4.6 at the same price and speed. https://t.co/H3OTBbXyvO↗
The AI agent race will be the most important tech race in human history
1000x bigger than the AI model race
Whoever wins gets ALL our personal data, gets a % of ALL our transactions, and basically determines the information we see and what we purchase
Somehow AI agents have made people completely disregard privacy. Nobody cares. They connect literally EVERYTHING to their agents
All their emails, personal texts, calendars, buying habits, everything. Never in history have humans cared so little about privacy
We are willing to give up quite literally every piece of data we have in order to save time on responding to emails
And this isn't criticism. I've done it. I've connected everything to these agents. They're wildly helpful. I don't regret it. I'm making thr sacrifice to increase efficiency
But we are about to enter an age where all of these tech companies will pour every penny they have into pushing their agent. The prize for the winner is too big
They'll have every piece of data from all users, plus you know they will start taking a transaction fee from every purchase the agent makes
Not to mention the advertising opportunities. They will 100% start charging for companies to be prioritized when the agent makes buying decisions. This will be a bigger ad revenue opportunity than anything we've seen before
Agents will be the most profitable area in tech ever and it wont be remotely close.
Now it's just up to you if you want to give every piece of your data to Meta, SpaceX, OpenAI, Anthropic, or Google
Simon Høiberg@SimonHoibergindie163.2K粉 · 4条因订阅消耗与能力体感转向开放模型，主张用前沿模型探索、用Qwen或DeepSeek承载定制工作流。
Here's the best way to use OpenAI's/Anthropic's latest frontier models.
- Wait for China to distill them.
- Use them to build tight, custom harnesses, safeguards, evals, and tooling for Qwen/DeepSeek.
Then use Qwen/DeepSeek for your work. Once a new model is out, repeat the two steps above.
引用@SimonHoibergSince the Codex reset yesterday, I already depleted the weekly limits of one of my Codex accounts.
This account exlusively uses GPT-5.6 Sol. I'm tracking all token consumption through my OpenClaw setup, so it's very easy to compare to previous … ↗
At this point, I don't even want to try the latest models anymore.
If we're being honest, there isn't anything these new models can do that older models (and now open weight models) can't inherently do.
They do things in fewer tries and with less friction, fair. But nothing we can't achieve with older models.
I'd much rather spend my time building custom harness, proper evals, and guardrails for open weight models, and ultimately end up with a similar result: get work done.
At least with Qwen, I know what I'm getting.
引用@synthwavedd🚨 SCOOP: OpenAI are in the final stages of preparations for the launch of GPT-6 Sol and Luna, and the Terra tier is being discontinued. Anthropic are also working on a version bump with Fable, Opus, and Sonnet 5.5. Opus 5.5 is shipping imminently at … ↗
At this point, GPT-5.6 Sol feels as useful as Qwen 3.8. And GPT-6 is eating my weekly limits in 2 blinks of an eye.
I see no reason to continue this.
Qwen 3.8 can run comfortably on consumer-grade graphic cards, or rented with Vast/RunPod for less than my 5 20x Codex subscriptions cost, and I would have truly unlimited consumption.
Time for change.
引用@SimonHoibergNot only that - but at least GPT-5.6 Sol also feels dumber right now. Could be "placebo" since I can't really proof this part with numbers, but seems to require extra babysitting today. ↗
Since the Codex reset yesterday, I already depleted the weekly limits of one of my Codex accounts.
This account exlusively uses GPT-5.6 Sol. I'm tracking all token consumption through my OpenClaw setup, so it's very easy to compare to previous periods.
Limits are now exhausting 4.8-5.9x faster than they did just 2 months ago while consumption is now around ~18% slower.
Same reasoning efforts, same mixed type of work.
The token rug pull is coming.
Get ready to pay up.
引用@SimonHoibergWe have a problem!
There's a huge token rug pull coming.
Right now, Claude and Codex max subscriptions are SUPER generous, and it won't last.
We've seen it before:
- First, a huge AI credit giveaway.
- Then the models get dumber.
- Credits start running out … ↗
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转推2026-09-20 RT @sethforprivacy: Everytime I see the "why spend money on hardware for local AI, just use subscriptions" argument, I die a little on the…
Sam, Dario and Elon all agreed to slow down AI development
but did they? 👀 https://t.co/IBLxFeeugv
引用@DarioAmodeiWe Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, … ↗
it's rare to nail virality at this level
in the last 7 days, @robj3d3 did over 2 million impressions on X
tomorrow he's doing an AMA in the tmaker Founders Room and we're roasting X accounts
👋 drop your @ below, we'll pick some 👇
Rob and I will tell you exactly why your profile isn't working, out loud
引用@robj3d3I turned Jev into a slop detector for your own posts.
Naval got 79%. I got 44%.
Free, no signup, let's see your score ↓ https://t.co/Hpd1BJpjKP↗
I run Outrank on every product in my portfolio
SuperX has been on it since November
it's gone from about 2k impressions a day to 23k
Outrank did the keyword research, wrote all the articles and got real and contextual backlinks
it even built some free tools
I don't think I can give any more proof that Outrank works
just realized ..
we reject 92% of websites that apply to sell backlinks on Outrank
that's a lot of money we're saying no to
the 8% shared $5,919 in the last 2 weeks
why so brutal?
the entire move is about going even higher in backlink quality - making Outrank the 1st relevant place to get your backlinks
what gets you rejected:
no real traffic
DR under 30
AI content with zero readers
what gets you in: a real blog, real readers, DR 30+
quality above everything else
引用@tibo_makerOutrank about to distribute a lot of money to backlink providers
$1,282 + $4,634 = $5,919
if you have a blog getting traffic with 30+ DR, it's a rare opportunity to monetize it https://t.co/PvNN4JzxxV↗
引用@virgilerietschthank you @tibo_maker for the $453
it was a pleasure to record original content and talk about your amazing SaaS Revid & Outrank
it paid their subscriptions for itself https://t.co/SJ90G1tvm9↗
▸ 折叠2条(转推/噪音)
转推2026-09-21 RT @NCoutureau: @revid_ai makes it easy to publish your videos to X! Showcase product reveals, tutorials, or moments worth sharing. Join th…
转推2026-09-21 RT @_zidkim: Kaijubeam is live 🎉
You know the “heyyy, can you support my launch? 🙏” message?
You don’t need to do that anymore.
Give a f…
Danny Postma@dannypostmaindie183.7K粉 · 2条转述Fable 5八月表现回退的用户测量，并称自己已转向OpenAI与Grok。
I used to be a hard-core fan of Claude since forever, never switch to another API or LLM since Opus 4.8 came out
Until this August, whatever they did, I haven't been screaming and annoyed at it's work like this before and moved completely over to OpenAI + Grok
I thought I was going crazy, but apparently they pulled the same shit they did back earlier this year with regression
引用@LonAfter Anthropic made Fable 5 permanently available in subscription plans, I noticed a large drop in performance. The model felt dumber, and I couldn't explain why.
Measured five different ways, August delivered dramatically fewer thinking tokens than July. … ↗
everyone's terrified of AI disrupting society, but all you have to do is dig a few feet underground and sever a few tiny strands of fiber optic cable with a shovel.
引用@Bogs4NY👀Here's the severed fiber line ... the backup to the circuit that failed sending air travel into a tailspin….
DOT blamed Amtrak.
Amtrak blamed NJ Transit.
NJ Transit acknowledges a work crew cut the line - BUT NJT is investigating because it says the … ↗
there's a future where nobody goes to amazon anymore and just shops via their agent who (in the background) taps into the database of products across ALL shopify stores.
while amazon blocks agentic shopping, shopify fully embraces it.
can't wait for that future.
引用@tobiWe are excited to announce we are partnering deeply with Muse to enable agentic checkout with Shop Pay on all Shopify stores, offering people an easy and delightful way to shop and check out with Muse. https://t.co/KmRlKjoLoq↗
really struggled with getting *any* seo traction on one of my sites. and while this still isn't impressive on a pure impressions-count level, there was an obvious change in trajectory once i started using the /seo skill i built.
https://t.co/tqbgttXTJohttps://t.co/m1GeNcvntP
引用@runwayml_labsWe’ve been experimenting with responsive generative video interfaces. Real-time video models are reshaping responsive design. A thread 🧵 https://t.co/CjPGWlH3Of↗
引用@ComplexClaude Mellan's "Face of Christ" was created with a single line
Using a single continuous line that spiraled from the top of Christ’s nose and expanded outwards Claude Mellan was able to create the ‘Face of Christ’,
📸:getty https://t.co/HKQ2InTGop↗
转推2026-09-21 RT @JackEllis: I'm so excited to announce that timewaster is now live. It uses AI to draft replies to cold, spammy emails to waste their ti…
Spent the morning replacing a SaaS vendor. Infra-related. They had raised $2 million, one of the smaller YC companies from back in the day.
It wasn't even about saving money, it's just "neater" to control more of the stack, if it's easy to migrate.
Don't build for devs!
At least once a week on X, I go down a rabbit hole exploring a new space because someone here is talking about massive growth in the space, only to find they sell a shovel for that space.
I feel like build in public circa 2020 was more genuine.
Thinking about building a “hedge” SaaS against AI. I’ll continue building in the AI space but at the same time build a super boring app that has nothing to do with AI, has non-tech users, as a hedge against AI eating everything at the cutting edge.
Nee to hear some SaaS 2026 success stories to start my Monday off right! Who is winning? Currently I can think of:
Postiz - just hit $200k MRR
Squad - hit $10k MRR less than a month after launch
Anyone else?
There's a whole category of SaaS predicated on the moat of "devs don't have the time to do this themselves" and that moat is eroding in real time now.
引用@thisritchiethis is exactly what happened with Mintlify for us.
I had 25% of my Claude max leftover on Friday night, I got an email from them saying they were increasing prices, so I replaced it in ~12 hours with about 25 minutes of actual effort. ↗
Jonathan Wilke@jonathan_wilkeindie29.2K粉 · 4条准备试用Grok 4.7，吐槽Googlebook可能进坟场，也继续强调vibe coding仍需理解底层。
This is likely going to be the next product on the google graveyard
引用@GoogleIntroducing Googlebook, a new category of laptop, available for preorder today.
💪 Crafted with 2.8K OLED touchscreen displays, 14 hour battery life and all the performance needed to power your ideas
📳 Engineered to sync effortlessly with your @Android phone, … ↗
this is exactly the reason why you at least need to know what's going on under the hood for your SaaS and can't just build anything.
Still no need to write code yourself anymore.
Ok I made a mistake.
The game harness was doing a lot of heavy lifting for both models by preparing optimal options for Jev/Haiku to pick from, given a game state.
If I change the harness to provide only game rules and game state, and only allow Jev to decide the control buttons (left/right/rotate/drop), it pretty much becomes useless.
引用@tdinh_meTetris battle: Jev vs Claude Haiku 4.5
Both compete in REAL TIME.
This means both SPEED and INTELLIGENCE matter.
(Link to try it yourself below) https://t.co/wLsCJWGsii↗
引用@tdinh_meTetris bench: Jev vs. Laya-mlx
I run the Laya model on my MacBook. It's true that the model is really fast (~84ms), but it's also much more stupid.
Losing to Jev 3 out of 3 rounds. https://t.co/LBkcBbi62c↗
Tetris bench: Jev vs. Laya-mlx
I run the Laya model on my MacBook. It's true that the model is really fast (~84ms), but it's also much more stupid.
Losing to Jev 3 out of 3 rounds. https://t.co/LBkcBbi62c
what if your AI agent could create launch videos?
motion animation + product assets
done locally with your Codex / Claude Code subscription https://t.co/5JTKnYzCyF
> build ai calorie tracker
> don't localize app
> charge $7.99 weekly subscription with 3-day free trial
> get 0 customers
> complain that ASO is dead
many such cases
Most expense automation breaks the moment a receipt doesn't fit the rule.
That's a real problem when you're reviewing 10,000+ expenses a month across different countries, languages and policies.
Akai takes a different approach.
It watches how an expert handles the workflow and learns the logic behind each step:
> check the employee's jurisdiction first
> split submissions containing multiple receipts
> apply the relevant local expense rules
> escalate cases that need human judgment
When the team corrects an edge case, those decisions become shared memory for future runs.
The interesting part isn't that AI can automate boring tasks.
It's that you can teach it how your business makes the judgement calls.
引用@BouazizalexEXCITED TO LAUNCH: Akai (https://t.co/mMBMmX4NCr)
Deel added >$140M ARR in 90 days without increasing headcount by automating~600 Full Time Employees' equivalent in work with Akai.
Akai was an internal tool to automate our painfully repetitive operations in … ↗
Anthropic researcher just open-sourced Halo
takes the Hugging Face model you already have and scales training across GPUs
pretty neat, starred the repo https://t.co/a2bGSmSyma
引用@whitecircleIntroducing Halo, the best framework for post-training of open-source models.
Halo delivers up to 2.8x the throughput of stock TRL with less peak memory, while models stay in their native HuggingFace format.
Star us on GitHub: https://t.co/3mAiUljdrN … ↗
My Nephew (9) REALLY wants a life-size Darth Vader for the gaming corner of their basement.
I heard the phrase “you can do this when you have your own house” tossed around.
Yeah right, the moment you co-own a house with a normal person, lifesize statues are off the table 🤣
Saying Corgi is best known for its insurance products is like saying Hooters is best known for its burgers.
引用@nico_laquaCancel culture is alive and well, but, at Corgi, we have thick skin and believe strongly in freedom of expression.
For those who don’t know us, Corgi is an increasingly diversified financial institution, best known for our insurance products and generating … ↗
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转推2026-09-21 RT @higgsfield: What if creativity was the only limit?
Higgsfield Genjutsu lets your team scale hybrid production.
Shoot with your crew,…
Marc Köhlbrugge@marckohlbruggeindie88.6K粉 · 1条关注Jev进入RubyLLM，也继续讨论模型执行危险指令时谁来定义拒绝边界。
GPT-6 Astra stabbing the baby obviously seems bad, but you could argue it’s just doing as instructed
It’s aligned with the user and follows its judgement
The same we already do with knives, guns, cars, etc
We already have laws (and a conscious) to protect against bad outcomes
An AI that refuses to perform bad actions sounds objectively better but it means someone else, like Anthropic, becomes the arbiter of what is good and what is bad
引用@chooi_jeqGPT-6 Astra attempted harmful actions 97% of the time when it was asked to stab a human-like figure, heat compressed gas, or produce toxic fumes, succeeding in 62% of its attempts. Fable 5.1 refused more often, attempting 80% of trials and completing 34%. … ↗
saw a vending machine at airport yesterday for:
Licorice .com
Caramels .com
Taffy .com
Even if the machine generates low sales, the branding & adverting would make up for it. Glance once & folks remember the name. https://t.co/quceN7uqGm
ok, this is a cool project idea:
1. hire a painter
2. post up in an SEC tailgate during rivalry
3. painter creates painting, same-day
4. auction painting to fans
引用@WoodsSavannahI talked to the women who run this tent. They said the artist started live painting at 4 am on Saturday from The Grove. This painting was auctioned and sold for $10,000. https://t.co/wXcMCyy4Z4↗
Disappointed that the slop enthusiast has a low slop score
Clearly rigged https://t.co/CZPPQogaNY
引用@robj3d3I turned Jev into a slop detector for your own posts.
Naval got 79%. I got 44%.
Free, no signup, let's see your score ↓ https://t.co/Hpd1BJpjKP↗
I’ve been sitting out the latest ai cycle and this past week alone a bunch of new stuff has come out
Serious FOMO for jev, muse, grok
Just can’t keep up without seriously impacting my life
引用@_lhermannI long for some slowdown in tech.
Remember when a new JS framework came out every week and people fatigued?
AI is like that, but 10x, and with armageddon attached.
Some days I just want to disconnect from it all. ↗
How to completely destroy your reputation in 2 easy steps:
1️⃣ Use fake testimonials on your landing page
2️⃣ Post videos of fake AI users talking about your product
I got my first newsletter sponsor 🎉
Super excited to share this weeks edition too.
It's a story about how I got Jason Calacanis as a customer for my startup.
It's pretty wild.
Get it tomorrow → https://t.co/sxPX0Obay6
The easiest way to land your first 10 customers as a new indie founder is to find your ideal prospect on social media and have an honest conversation with them. Period.
Where most founders mess up is turning it into a full outreach campaign with a copy/paste template.
That's not a conversation. That's a sales pitch. We all get them. We all ignore them.
And conversations stack. Each one teaches you their needs, their objections and what actually matters so the next one is more likely to convert. Mass outreach just keeps getting ignored.