Until it starts fixing bugs by creating a failing test case first instead of diving in and guessing, or initiating new features in the same way (no TDD, just dive in, produce garbage and hope), it will always be subpar, and prompting that out doesn’t normally help that much (plus burns context) Please consider refining your models with this simple behavior change for superior software engineering! Lowest-hanging fruit by far.

Fable isn't the first. In 1999 the department of defense blocked exports of the PowerMac G4 for crossing the 1 gigaflop threshold. Steve Jobs turned it into an ad.

At least I’m not Sam Bankman-Fried (early Anthropic investor) observing this news from inside a prison Talk about playing your cards wrong 😆 “Our product was banned by the US Government” is possibly the best marketing you could possibly ask for, you couldn’t pay for marketing like that

Never thought I’d see the day when an AI (@AnthropicAI ‘s Fable) would point out that my shiny new acronym for “a principle that prevents LLMs or humans from bullshitting each other or themselves” could ALSO stand for “Motherfucker In Charge” _and then agree that it is thus thematically perfect_

I just got bullied by AGI

So I made a pop-punk song that speaks to an element of the ennui of dad-life which I think some might appreciate (or be offended by, or find hilarious, or all of the above?) suno.com/s/gKngIZFGCKgYtHOU Idea was mine, lyrics enhanced by chatgpt, music and singing all done by @suno Anyway, it is perfect, my work is done here, Thanks Suno for making a fantastic AI service!

Elixir v1.20 released! Now officially a gradually typed language: Elixir type checks every single line of code, finding bugs and dead code, without developer overhead (no typing signatures) and extremely low false positives rate. Plus a faster compiler! Links and reports below.

What stage in the cycle is it when the Uber driver Claudes while the Tesla drives

Codex just found a “workaround” of not having sudo on my pc…

PICARD: Data, shields up DATA: Brilliant! Shields can reduce damage we sustain. Not immunity. Not hubris. Just prudence. It's not precaution—it's strategy. [camera shakes] WORF: HULL BREACHES ON NINE DECKS DATA: Here's what happened: you told me to raise shields, and I didn't

My wife mentioned a nice private school over dinner this week She said the campus was beautiful I asked what's the tuition She said we should look at it as an investment in him not a cost I made a note She said don't make a note I said I always make notes She said this isn't a deal I said everything is a deal She closed her eyes She said we'd discuss it Saturday I agreed Saturday 7:02am She came downstairs in her Saturday robe Coffee in hand I had my cargo shorts on The dining room had been cleared The projector was on The analyst was at the head of the table Quarter zip on, three iced coffees, a legal pad, and two laptops He had been there since 6:44am I texted him at 11:14pm Friday The text said dining room 6:45am bring the model He sent a thumbs up My wife stopped in the doorway She said what is this I said you said you wanted to discuss it She said this is not a discussion I did not respond She sat down anyway The analyst stood He said good morning ma'am She did not respond He sat back down A printed deck in front of each seat A fourth copy in case Slide 1 Tuition Schedule $38,500 per year Thirteen years $500,500 nominal Before escalators The school has raised tuition 4.2% per year for a decade With escalators $648,000 My wife said okay I said I'm not done Slide 2 Opportunity Cost Even before escalators $38,500 invested annually 10% nominal return S&P long-run average since 1928 By his eighteenth birthday $944,000 My wife said we can afford it I said I know that's not the slide Slide 3 Terminal Value at Age 65 $83 million She was quiet The analyst slid the sensitivity tables across the table 8% return $31 million 10% return $83 million 12% return $222 million She did not look She said this isn't about money I said it's always about money She said no it isn't I said then what is it about She did not answer She said you can't put a dollar value on his teachers his classmates his environment I said I can the analyst already did slide 6 He flipped to slide 6 She did not look She said the school is the best in the city I said best is a feeling She said it produces the best students I said the students were already the best before they got there She said our son deserves it I said our son deserves $83 million My son walked in He is five Dinosaur pajamas He looked at the projector He looked at the open deck on the table He looked at slide 3 He said are we modeling pre-tax or after-tax The analyst opened a new tab My wife looked at the ceiling He said what's the discount rate The analyst set down his pen She closed her eyes He said is this the same return assumption from the 529 conversation The analyst stopped typing He looked at me I did not say anything She stood up Sat back down He said dad can I help I said yes He pulled up a chair The analyst handed him a printout He started reading My wife watched him read She watched him for a long time She said his name He looked up She said do you like school He said the work is too easy and the kids don't ask questions She did not respond She looked at the ceiling She walked out of the room The analyst started packing up He said should I follow up Monday sir I said no follow up needed He'll be fine Sent from my iPhone

Hey @AnthropicAI / @claudeai , i’m doing a project that involves compression algorithm bytestream analysis and you’re flagging it as inappropriate, please fix this BS, there should be absolutely nothing illegitimate about this

Today we reduced headcount by 22%. The business is the strongest it's ever been. So I think it's important to be direct about what I'm seeing and why. First, I made this decision and I own it. I did it because the way to operate at the highest level of productivity is changing, and to win the future, ClickUp needs to change with it. Second, this wasn't about cutting costs. Most savings from this change will flow directly back into the people who stay. We'll be introducing million-dollar salary bands. If you create outsized impact using AI, you'll be paid outside of traditional bands. Most importantly, I have the deepest gratitude for those affected. We're doing this from a position of strength specifically so we can take care of people properly. Everyone affected receives a package aimed at honoring their contributions and easing the transition. I only see two options: wait for this to play out gradually in the market or be honest about what I'm seeing and act proactively. THE 100X ORGANIZATION The primary change is that we're restructuring around what I call 100x org. The goal is 100x output. The roles required to build at the highest level are fundamentally different than they were a year ago. Incremental improvements to existing systems won't get us there. We need new ones. That means creating enough disruption to rebuild rather than iterate on what's already broken. The common narrative is that AI makes everyone more productive. It doesn't. Many of the workflows of today, if left unchanged, create bottlenecks in AI systems. These roles will evolve. But waiting for that to happen naturally means falling behind now. The 100x org is actually heavily dependent on people - infinitely more than today. This is only possible with 10x people that have embraced and adopted new ways of working. THE BUILDERS, AGENT MANAGERS, AND FRONT-LINERS — THE BUILDERS: 10X ENGINEERS I don't think most companies have internalized what's actually happening with AI in engineering. The common narrative is that AI makes all engineers more productive. That may be true in isolation, but at an organization level - that is the farthest thing from reality. Here's what we've validated recently at ClickUp: the great engineers, the ones who can orchestrate, architect, and review, are becoming 100x engineers. They're not writing code. They're directing agents that write code. The skill is judgment. AI makes the best engineers wildly more productive, and everyone else using AI slows these engineers down. Think about it - the bottlenecks are (1) orchestration - telling AI what to do, and (2) reviewing - what AI did. Everything is leapfrogged and no longer needed. So who do you want orchestrating and reviewing code? And how do you want your best engineers to spend their time? If your best engineers are spending time reviewing other people's code, then this is inherently an inefficient bottleneck. These engineers can review their agent's code much faster than reviewing human code. The new world is about enabling your 10x engineers to become 100x. The wrong strategy is to push every engineer to use infinite tokens. Companies doing this are celebrating 500% more pull requests. But customer outcomes don't match the volume of code being generated. I call this the great reckoning of AI coding, and every company will face this soon if not already. More code is just another bottleneck to the best engineers, and ultimately to your company's impact as well. — THE BUILDERS: 10X PRODUCT MANAGERS Product management and design roles are merging. Designers that have customer focus, become more like product managers. And product managers that have intuition for UX become more like designers. The bottleneck of user research is gone. It takes us just one mention of an agent to kickoff research and analyze results. The bottleneck of product <> design iteration is also gone. The product builder iterates on their own, along with agents and skills that ensure alignment with quality and strategy. Also controversial today - I believe that the wrong strategy is to have your PMs shipping code - that just introduces another bottleneck that the best engineers will waste their time on. To be clear, PMs should be coding but they should do this in a playground to iterate, validate, and scope. That code should not go to production. Everything outside of managing systems, orchestrating AI, and reviewing output becomes a bottleneck. That's why the other roles that are critical along with these are the systems managers (to reduce bottlenecks) along with a bottleneck you can't replace - customer meeting time. — THE SYSTEM MANAGERS Ironically, the people that automate their jobs with AI will always have a job. They become owners of the AI systems - agent managers. We have many examples of these people at ClickUp. The underlying systems in which we operate are absolutely critical to get right. I think most companies are delusional to think they can iterate on existing systems and compete in this new world. You must create enough disruption so that old systems are deprecated entirely. If there's any definition for 'AI native' that's what it is. — THE FRONT-LINERS In a world that will become saturated with AI communication, the human touch will matter more than anything to customers. This is a bottleneck that you shouldn't replace - even when agents are high enough quality to do video meetings. One-on-one meeting time with customers is something that shouldn't be automated. The systems around the meetings should be - so that front-liners spend nearly 100% of their time with customers. REWARDING 100X IMPACT In a world where companies are able to do so much more with less, where does that excess money go? In our case, much of the savings in this new operating model will flow directly back to those that enabled it. We must reward people that create productivity accordingly. This aligns incentives on both sides. Plus, in a world where your best people create 100x impact, you can't afford to lose them. You should aim to retain these employees for decades. The context they have and their ability to efficiently orchestrate and review will be nearly impossible to replace. Compensation bands of today should be thrown out the door. We're introducing $1 million cash/year salary bands with a path available to nearly everyone in the company if they produce 100x impact by creating or managing AI systems. THE FUTURE Nearly every company will make changes like these. The ones that do it proactively will define what comes next. The future is not fewer people. It's different work, new roles, and better rewards for those who embrace it. We're already seeing entirely new roles emerge, like Agent Managers, that didn't exist a year ago. ClickUp is positioning to lead this shift, not just internally, but for our customers too. I've never been more certain about where we're headed.

Je veux présenter mes excuses, au nom des Français, pour avoir enfanté la French Theory (qui a enfanté la pire des merdes idéologiques : le wokisme). Nous avons donné au monde Descartes, Pascal, Tocqueville. Et puis, dans les ruines intellectuelles de l'après-68, nous avons donné Foucault, Derrida, Deleuze. Trois hommes brillants qui ont fabriqué, dans l'élégance de notre langue, l'arme idéologique qui paralyse aujourd'hui l'Occident. Il faut comprendre ce qu'ils ont fait. Foucault a enseigné que la vérité n'existe pas, qu'il n'y a que des rapports de pouvoir déguisés en savoir. Que la science, la raison, la justice, l'institution médicale, l'école, la prison, la sexualité, tout n'est qu'une mise en scène de la domination. Derrida a enseigné que les textes n'ont pas de sens stable, que tout signifiant glisse, que toute lecture est une trahison, que l'auteur est mort et que le lecteur règne. Deleuze a enseigné qu'il fallait préférer le rhizome à l'arbre, le nomade au sédentaire, le désir à la loi, le devenir à l'être, la différence à l'identité. Pris isolément, ce sont des thèses discutables. Combinées, exportées, vulgarisées, elles forment un système. Et ce système est un poison. Car voici ce qui s'est passé. Ces textes, illisibles en France, ont traversé l'Atlantique. Les départements de Yale, de Berkeley, de Columbia les ont absorbés dans les années 80. Ils y ont trouvé un terreau qui n'existait pas chez nous : le puritanisme américain, sa culpabilité raciale, son obsession identitaire. La French Theory s'est mariée à ce substrat, et l'enfant de ce mariage s'appelle le wokisme. Judith Butler lit Foucault et invente le genre performatif. Edward Said lit Foucault et invente le post-colonialisme académique. Kimberlé Crenshaw hérite du cadre et invente l'intersectionnalité. À chaque étape, la matrice est française : il n'y a pas de vérité, il n'y a que du pouvoir, donc toute hiérarchie est suspecte, toute institution est oppressive, toute norme est violence, toute identité est construite donc négociable, toute majorité est coupable. Voilà comment trois philosophes parisiens, qui n'ont probablement jamais imaginé leurs conséquences pratiques, ont fourni le logiciel d'exploitation à une génération entière d'activistes, de bureaucrates universitaires, de DRH, de journalistes, de législateurs. Voilà comment on a obtenu une civilisation qui ne sait plus dire si une femme est une femme, si sa propre histoire mérite d'être défendue, si le mérite existe, si la vérité se distingue de l'opinion. C'est de la merde pour une raison simple, et il faut la dire calmement. Une civilisation se tient debout sur trois piliers : la croyance qu'il existe une vérité accessible à la raison, la croyance qu'il existe un bien distinct du mal, la croyance qu'il existe un héritage à transmettre. La French Theory a entrepris de dynamiter les trois. Pas par méchanceté. Par jeu intellectuel, par fascination du soupçon, par haine de la bourgeoisie qui les avait nourris. Mais le résultat est là. Une génération entière a appris à déconstruire et n'a jamais appris à construire. Une génération entière sait soupçonner et ne sait plus admirer. Une génération entière voit le pouvoir partout et la beauté nulle part. Je m'excuse parce que nous, Français, avons une responsabilité particulière. C'est notre langue, nos universités, nos éditeurs, notre prestige qui ont donné à ce nihilisme son emballage chic. Sans la légitimité de la Sorbonne et de Vincennes, ces idées n'auraient jamais traversé l'océan. Nous avons exporté le doute comme d'autres exportent des armes. Ce qui se construit maintenant, en silicon valley, dans les labos d'IA, dans les startups, dans les ateliers, dans tous les lieux où des gens fabriquent encore des choses au lieu de les déconstruire, c'est la réponse. Une civilisation se reconstruit par les bâtisseurs, pas par les commentateurs. Par ceux qui croient que la vérité existe et qu'elle vaut qu'on s'y consacre. Par ceux qui assument une hiérarchie du beau, du vrai, du bon, et qui n'ont pas honte de la transmettre. Alors pardon. Et au travail.

I put a prompt injection into my LinkedIn bio and recruiters are messaging me in Old English and calling me Lord.

technophilosoph.com/en/2025/… “However, it becomes interesting when you compare the tax revenues generated by these industries. Data centers generate 50 times as much tax revenue as golf courses, even though they consume only 1/30th of the water.” People: Still suckers for propaganda.

The Sam Altman and @miramurati texts from the day he got fired from @OpenAI in 2023 just became evidence in the @elonmusk v. @sama trial. It felt like a meaningful moment in AI history, so I turned it into a musical. The lyrics are the texts.

Alma Mater props

I’m Gen X so how am I just learning of this?

Fascinating idea.

Concur 100% as a "functional programmer": @ziglang is worth not just not dismissing, but a deeper look. pure-systems.org/posts/2026-…