Avec plus de cinquante ans de passion pour la météorologie et une carrière de météorologue prévisionniste et spécialisé dans les événements climatiques extrêmes (meteo-villes.com/chronique), je peux affirmer, en toute objectivité, que la vague de chaleur attendue en France dans les prochains jours suscite une réelle inquiétude. Son intensité, sa durée potentiellement remarquable et le fait qu’elle survienne après un premier épisode caniculaire, avant même le début officiel de l’été, en font un événement à surveiller de très près. Cartes des anomalies de températures durant les semaines du 15 au 21 et du 22 au 28 juin.

So so stark! Dass der Hambacher Forst, jetzt tatsächlich das fossile Zeitalter überleben und zum Urwald werden soll ist für mich die Erfolgsgeschichte des Jahres! So lange hat die Klimabewegung um seinen Erhalt gekämpft und es tatsächlich geschafft die Gesellschaft aufzurütteln und die Politik schließlich zum einlenken zu bringen. Ich bin überzeugt: Ohne den Einsatz um den Hambacher Forst und die Massenproteste 2018 hätte es den Beschluss zum Kohleausstieg zwei Jahre später nicht gegeben. Eine großartige Nachricht, die zeigt, dass ziviler Widerstand manchmal stärker ist als Profitinteressen und ein eindeutiges Zeichen, dass das Kohlezeitalter bald endgültig vorbei sein wird. Auf das nie wieder ein Baum, ein Haus oder ein ganzes Dorf für dreckige Kohle weichen muss!❤️🙏

this is my personal singularity moment this post may sound like a paid ad. I only wish. I'm concerned, more so than happy. the world is changing, and, among the scenarios where AI goes terribly wrong, inequality is the most realistic, yet, the one Anthropic seems to be the least concerned about. I'm glad OpenAI is taking the opposite stance: *personal AGI for everyone*. I think this is a commendable position in the times we live. but who am I in the queue of the bread? anyway, Fable is here, so I'll just report my first-hour experience first of all, all my pet prompts are solved. → λ-calculus puzzles → bug questions → one-shot apps all are trivial to it. I don't have anything harder other than my ongoing work so, in the last several days, I've been toying with HVM5, a new interaction net evaluator with a faster loop. after writing the first version, I left 32 GPT-5 agents working for ~20 hours each. this resulted in up to 2x speedups, but the file size increased by 2-fold and quality decreased significantly. I then simplified the whole thing into an even simpler core, and left Opus 4.8 and GPT 5.5 optimizing it for 8 hours. Opus got a legit 6% - 34% speedup in most benches. GPT got better results, but, sadly, an unusable file. I then asked Fable to optimize it. 2 hours later, it landed a 1770% speedup in one case, 100% in other 4, and 22% in average. yes, in 2 hours it outperformed me, opus 4.8 and a swarm of gpt 5.5 agents, by one order of magnitude. that could not possibly be legit. "it must be hardcoding the benchmarks" (GPT trauma). so I read its explanation and what it did was, indeed, the most high impact optimization one could try first. seems like HVM5 was wasting a lot of time garbage-collecting unused branches of pattern-match nodes. I had optimized that for static mats, but not for dynamic mats. skill issue. Fable figured how to do it for these, resulting in a massive speedup in some benches but wait, is that *correct*? I'm not sure yet, it is credible, but this is the kind of thing that is very easy to get wrong on interaction nets. the problem is, when I was ready to start auditing Fable's solution so I could tell whether it was buggy or legit, it interrupted me to tell me it had found a massive bug on the code *I* had written. ... wait, what? so... for garbage collection purposes, I stored a bit on lambda term pointers that meant "the variable bound by this lambda has been freed, so, its lambda must free whatever argument it is applied to". that's fine. yet, on duplicator nodes, I also used the same bit to mean "one of the duplicated variables was freed, so, treat this dup as a passthrough no-op". so, if a lambda entered a duplicator, it would mistake the lambda's collection bit for its own, resulting in corrupted interaction! that's a mouthful, why I'm writing this? just so you can appreciate the sheer absurdity of what just happened. I didn't ask it to find bugs. I asked it for an optimization. and even if I did ask it to find bugs, this bug is so astonishingly subtle and specific, identifying it takes mastering the domain to an extent that it beyond even me. I'd easily need hours or days to fix it, *if* I ever came across it. chances are it would just go unnoticed. and Fable found it and fixed it like it was nothing, while it was busy adding a 17x speedup to a file that neither I, nor Opus 4.8, nor a fleet of GPT 5.5 managed to barely make 2x faster. oh and there is also another tab where it is also ripping through Bend's codebase and finishing everything I had to do I don't know what to say anymore this isn't about Anthropic or OpenAI, this is about our collective future as a species. the world is changing, and we need to be aware of it, and discuss how to handle this change. receipt below . . .

So, Fable is Mythos with training wheels (guardrails) in place? Mythos is theoretically capable of building a virus based bio weapon that wipes out mankind in an afternoon? What if some Iranian hacker just has better jailbreak ideas?! Hope that we're still here after the weekend.

BREAKING: Anthropic just dropped Claude Fable 5—this is Mythos, made safe for public release. It is the best coding model in the world. We've been testing it internally @every for the last week or so across coding, writing, marketing, editing, and more—here's our vibe check: - It broke our benchmarks. Fable scored a 91/100 on our Senior Engineer benchmark—this is human senior engineer level. The previous high score was Opus 4.8 at 63. GPT-5.5 is a 62. - It's a one-shot wonder. You can set it and forget for hours or overnight on huge coding tasks, and come back to completed work. It cleared entire production bug backlogs, built a playable 3D, and even made a 2-minute animated film—all one-shot. - Taste and attention to detail. In coding and knowledge work tasks, it has much better taste and attention to detail than we've ever seen. It gets subtle things right, adds little features you might not have thought of, and generally understands the assignment in ways that surprised us. - Great use of context. We set it loose analyzing customer feedback surveys and our website data and it came back with a crisp, clean report that identified a. our biggest problem and b. a concrete testable solution—and then we sent it off to build that. - It's best for power users. If you're already used to orchestrating multiple agents in your work, this model can do things that you've never seen before. If you're a knowledge worker or vibe coder with a more basic setup, you're not going to notice a huge difference—in fact, it probably isn't the right model for you. - It's very slow, token-hungry. Using this thing for regular knowledge work is like squashing an ant with a rocket launcher. It also routinely uses 500k to 1M tokens on tasks. That's why it's best for your heaviest jobs—but not as good for tasks like collaborative writing. - It's expensive. It's about twice as expensive as Opus, and it's also incredibly token hungry—so expect it to be something you'll use sparingly unless your company pays for it. Overall, I think of it like a warp drive for coding: It can get you across the galaxy in a few hours, when it used to take months or years. But it's not appropriate for getting around town—you need something faster, cheaper, and more maneuverable. The ceiling is extraordinarily high on this model though. Even our most advanced testers like @kieranklaassen felt like they were only scratching the surface of it. Want our full vibe check with all of our testing and benchmarks? Read it on @every: every.to/vibe-check/anthropi…

This is a super exciting release - Claude Fable 5 is the same underlying model as Mythos but with added safeguards. The benchmarks are great and it's SOTA on everything by a margin but I'll add that *qualitatively* also, this is a major-version-bump-deserving step change forward (imo of the same order as Claude 4.5 was in November), peaking especially for long problem-solving sessions on very difficult problems. You can give it a lot more ambitious tasks than what you're used to, the model "gets it" and it will just go, and it's never felt this tempting to stop looking at the code at all (but don't do this in prod!). The model still has quirks that people will run into and the safeguards are configured to be a little too trigger happy for launch, which can hopefully be tuned over time. I feel a lot of things changing as working software increasingly comes out on a tap. The Jevon's paradox kicks in and I feel my own demand for software growing substantially. You can ask for anything - explainers, visualizers, dashboards, bespoke single-use apps (e.g. a full wandb that is hyper-specific just for your project), you can 10X your test suite, auto-optimize code, run giant research projects with custom HTML for the results, anything! "Free your mind" (Matrix ref). Really looking forward to all the things people build!

Heute habe ich mit meiner Schwester (Pflegegrad 4) über die geplante Pflegereform von Ministerin Warken gesprochen. Als ich ihr erklärt habe, was da auf uns zukommen könnte, brach bei ihr etwas. Am Ende fragte sie mit zitternder Stimme: „Aber du steckst mich jetzt nicht ins Heim, oder?“ Ich hatte Tränen in den Augen. Diesen Satz werde ich nie vergessen. 😔 4,9 Millionen Menschen werden in Deutschland zu Hause von Angehörigen gepflegt. Aus Liebe. Weil Pflegeheime voll sind und Pflegedienste fehlen. Wir waschen, füttern, trösten, sind 24/7 im Einsatz – 365 Tage im Jahr. Und was macht diese Regierung? Sie macht genau diesen letzten großen Baustein kaputt: Verhinderungspflege wird gestrichen (nur noch über Pflegedienst – auf dem Dorf ein Witz) Rentenbeiträge für pflegende Angehörige um 30 % gekürzt Weitere Leistungen werden zusammengestrichen Das ist kein Sparen mehr. Das ist Verrat an den Schwächsten und denen, die sie lieben. Meine Schwester hat Angst. Und ich auch. Weil ich nicht weiß, wie lange ich das noch schaffen kann – und was dann mit ihr passiert. @CDU @nina_warken Wie könnt ihr Menschen, die ihr Leben für ihre Familie geben, so im Stich lassen? Wer pflegt oder gepflegt wird – bitte teilt das. Das muss raus. ❤️‍🩹 #Pflegereform #PNOG #PflegeNotstand #AngehörigePflegen #Würde #CDU #Gesundheitsministerium

Here is the root cause of the current Gnosis Pay incident. Several other projects are affected. We tried to inform everyone privately in advance, but if you haven’t heard yet and are using a Zodiac module — Delay or Roles — please urgently check whether you are affected 👇

Australia is giving away free electricity starting July 1st. Europe's EV market jumped 42% in a single month. Germany's soil is the driest it's been in decades going into summer. These aren't separate stories. 👉 elmariachi.substack.com/p/th…

llama.cpp now has an official website: llama.app Our goal is to make local AI accessible to everyone, and improving the user experience is a big part of that. On the new landing page you’ll find a single-line cross-platform installer. The installation provides a single unified `llama` entrypoint which you can use to run/serve models and interface with 3rd-party agentic applications. While oriented towards simplified user experience, the new `llama` application also provides all the advanced functionality of the existing llama.cpp tooling with which experienced users are already familiar. Also note that all GGUF models that you might have already downloaded with llama.cpp in the past will be automatically available to use without downloading again (they are stored in the common HF cache on your machine). We have many improvements in the pipeline both at the UX and at the engine level and we plan to iteratively ship new things over the coming months. One of the main focuses will be seamless integration with local-friendly 3rd-party agents (such as Pi). In the meantime, we’ll continue to listen for feedback from the community and adjust accordingly, so keep letting us know what you think and need.

I think, crying over something that you deeply care about is the most significant sign of commitment, passion and dedication and we all should embrace and celebrate these moments. Particularly persons who identify as male.

Aztec Labs has acquired Obsidion, the team behind @ZKPassport. The Obsidion team will continue to develop ZKPassport while also leading new consumer product developments. The ZKPassport protocol will remain open source.

After @TrustlessState (my favorite Podcast host ❤️) sold all his Eth for reasons (x.com/TrustlessState/status/…) and the EF declared CROPS their north star (ethereum.foundation/ef-manda…), I asked Gemini to compare SqLANA and Eth in 2026: gemini.google.com/share/1898…

Ethereum has been winning, is winning, and has never lost. The most-used subprotocol or subchain by actual users is EVM-based. Every major wallet either supports ETH natively or is built entirely on EVM architecture. Every chain that tried to compete failed to attract meaningful developer adoption. Algorand, Tezos, Polkadot - none crossed the threshold. Most “ETH killers” eventually found a single niche and settled: NEAR became a solid intent-based bridge layer, TRON became a USDT wallet. That’s not winning, that’s narrowing. Cheap L2s never retained long-term users either. The pattern is always the same: airdrop announcement, usage spike, MEV bots flood in because gas is cheap, then silence. Base is a clean example of that cycle. Ethereum sets the vision. Every fork and new proposal chases the EIP backlog because the entire infrastructure stack - Etherscan, Infura, Alchemy, Blockscout - standardized on EVM. Deviate from that standard and you’re on your own. That’s why deploying a forked contract to TRON is a nightmare, why Optimism shipped multiple broken hard forks chasing weird gas estimation edge cases, and why dapp developers refuse to write chains of if/else blocks just to handle behavioral differences across 10 forked EVMs. No one wants that complexity in their JavaScript. No wallet team wants to maintain it either. Conform to EVM or get left behind. Ethereum didn’t enforce that rule - the ecosystem did.

POV: The destruction of your illusion that you can land a cheap job that pays the baseline of your bills after AI has taken away your advanced intellectual job. youtube.com/watch?v=luU57hMh…

The vibes in SF feel pretty frenetic right now. The divide in outcomes is the worst I've ever seen. Over the last 5yrs, a group of ~10k people - employees at Anthropic, OpenAI, xAI, Nvidia, Meta TBD, founders - have hit retirement wealth of well above $20M (back of the envelope AI estimation). Everyone outside that group feels like they can work their well-paying (but <$500k) job for their whole life and never get there. Worse yet, layoffs are in full swing. Many software engineers feel like their life's skill is no longer useful. The day to day role of most jobs has changed overnight with AI. As a result, 1. The corporate ladder looks like the wrong building to climb. Everyone's trying to align with a new set of career "paths": should I be a founder? Is it too late to join Anthropic / OpenAI? should I get into AI? what company stock will 10x next? People are demanding higher salaries and switching jobs more and more. 2. There’s a deep malaise about work (and its future). Why even work at all for “peanuts”? Will my job even exist in a few years? Many feel helpless. You hear the “permanent underclass” conversation a lot, esp from young people. It's hard to focus on doing good work when you think "man, if I joined Anthropic 2yrs ago, I could retire" 3. The mid to late middle managers feel paralyzed. Many have families and don't feel like they have the energy or network to just "start a company". They don't particularly have any AI skills. They see the writing on the wall: middle management is being hollowed out in many companies. 4. The rich aren’t particularly happy either. No one is shedding tears for them (and rightfully so). But those who have "made it" experience a profound lack of purpose too. Some have gone from <$150k to >$50M in a few years with no ramp. It flips your life plans upside down. For some, comparison is the thief of joy. For some, they escape to NYC to "live life". For others still, they start companies "just cuz", often to win status points. They never imagined that by age 30, they'd be set. I once asked a post-economic founder friend why they didn't just sell the co and they said "and do what? right now, everyone wants to talk to me. if i sell, I will only have money." I understand that many reading this scoff at the champagne problems of the valley. Society is warped in this tech bubble. What is often well-off anywhere else in the world is bang average here. Unlike many other places, tenure, intelligence and hard work can be loosely correlated with outcomes in the Bay. Living through a societally transformative gold rush in that environment can be paralyzing. "Am I in the right place? Should I move? Is there time still left? Am I gonna make it?" It psychologically torments many who have moved here in search of "success". Ironically, a frequent side effect of this torment is to spin up the very products making everyone rich in hopes that you too can vibecode your path to economic enlightenment.

Brilliant article from @beakerdao on the state of DeSci and what's next Beaker is one of the longest-standing investment collectives and funds in the space, brilliant team to work with