Thanks to socialism, the average Zimbabwean became a trillionaire before @elonmusk 💪

The definition of a Christian is simple: a person who follows the actual teachings of Jesus Christ. So no one, basically.

Labdien! Septiņdesmitajos gados veiktā papeļu stādīšana Rīgā notika haotiski un papeles stādītas, neņemot vērā šo koku bioloģiskās īpatnības. Tās stādītas pārāk tuvu ēkām, ietvēm, elektrības vadiem un kanalizācijas šahtām. Stādāmā materiāla izvēle lielākoties bijusi gadījuma rakstura, tāpēc vairāk kā puse papeļu ir sievišķie kloni, kuru spurdzēm nogatavojoties izveidojas lidpūkas, kas rada alerģiju un ziedēšanas laikā lido pa visu pilsētu un dzīvokļiem. Kopš 2006.gada Rīgā tika veikta regulāra papeļu izzāģēšana pašvaldībai piederošās teritorijās un ir nozāģēts ap 3000 papeļu. Sākumā koku zāģēšanas plāni tika sastādīti, pamatojoties LU Bioloģijas institūta speciālistu veikto dendroloģiskās inventarizācijas datiem, tagad uz fizisku un juridisku personu iesniegumiem (pašvaldības iestādes – skolas, bērnudārzi, namu apsaimniekotāji u.c.). Kopš 2019. gada iesniegumu skaits samazinājās un ja pirms tam gadā vidēji tika zāģētas 120-130 papeles, tad tagad gadā daži desmiti koku. Ņemot vērā, ka par apstādījumiem Rīgas pilsētā atbild zemes īpašnieks vai tiesiskais valdītājs, tad, ja papeles aug pašvaldībai piederošos īpašumos, ir jāvēršas Mājokļu un vides departamentā ar iesniegumu, ja citos zemesgabalos, tad pie to īpašniekiem vai apsaimniekotājiem.

My personal experience with AI is that most of the gen AI companies have offered me buckets of money (house money!) to publicly endorse their tools and claim they are central to my creativity (have turned them all down). What's interesting is that there are SO many people who are hyped about these tools who should be getting the bag instead of me. So all I can gather is that these companies are throwing money around to control the story about who their tools are for. Seems like they'll pay anything to have non-AI folks endorse the AI tools.

@didzisdejus iedvesmoja ar savu angļu valodas eksāmena treniņu rīku — tā pati problēma bija arī matemātikā. Uzbūvēju matempro.lv: 1500 reāli CE uzdevumi (2009.–2025.), bezgalīgi ģenerēti uzdevumi, paskaidrojumi katram solim. Bezmaksas.

🥵 Lielākā karstumā parasti sportistiem tiek ieteikts viens universāls līdzeklis – elektrolītu dzērieni. Tomēr tie var arī kaitēt veselībai. Estere Priedīte maija Sporta Avīzē centās rast atbildes zinātnē balstītās rekomendācijās un pētījumos. diena.lv/raksts/sporta-avize…

AI has now solved a major open problem -- one of the best known Erdos problems called the unit distance problem, one of Erdos's favourite questions and one that many mathematicians had tried. openai.com/index/model-dispr…

Average Moscow experience

Morning Bathrobe Rant: AI out-codes you; deal with it.

We've been tricked, again. Many of the thousands of bugs and vulnerabilities Mythos found are in older software are impossible to exploit. And the severe zero-day reports rely on just 198 manual reviews tomshardware.com/tech-indust…

still the best tweet

So this is Anthropic’s case for why Mythos is staying off the public shelf, out of fear of what damage it could cause 🤯 Massive leap in capabilities, especially in cybersecurity. It's being used internally at Anthropic and shared only with a small group of vetted partners (Apple, Google, Microsoft, Amazon, NVIDIA, and others) via a new $100M initiative called Project Glasswing. - The most concerning power in the report is autonomous exploit chaining, where Claude Mythos Preview does not just find a bug but keeps reasoning until it turns that bug, or 2, 3, or 4 bugs together, into a working path to root, kernel, or remote code execution. - That is a much bigger jump than ordinary bug-finding, because many defenses are built on the hope that even if one flaw exists, turning it into a real attack will still take weeks of rare human skill. - it surfaced zero-days across every major operating system and web browser, including a now-patched 27-year-old OpenBSD bug. - Mythos found a 17-year-old FreeBSD flaw and built a fully autonomous remote root exploit for it, found browser bugs and chained them into JIT heap sprays, sandbox escape, and even kernel write access, and built Linux privilege-escalation chains that bypassed protections like KASLR. - All this happened on fully hardened systems and often with no human help after the initial prompt. - The second disturbing part is accessibility, because Anthropic says even staff with no formal security training could ask for a remote code execution bug overnight and wake up to a working exploit.

RT @theo: Claude Mythos is the start of the end. I think this is my psychosis moment.

I view life as an essentially purposeless absurd comedy that every now and then rises to the level of tragedy. I have to keep reminding myself of this on days like today when I took it all too seriously and felt devastated by reality for a few hours.

varbūt vienreiz pietiek "iekļaut". tā tāda pašnāvnieciska empātija. skaistiem lozungiem sajāj dzīvi visiem normālajiem. kur paliek izcilība? kur paliek zināšanas?

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce

🚨BREAKING: OpenAI published a paper proving that ChatGPT will always make things up. Not sometimes. Not until the next update. Always. They proved it with math. Even with perfect training data and unlimited computing power, AI models will still confidently tell you things that are completely false. This isn't a bug they're working on. It's baked into how these systems work at a fundamental level. And their own numbers are brutal. OpenAI's o1 reasoning model hallucinates 16% of the time. Their newer o3 model? 33%. Their newest o4-mini? 48%. Nearly half of what their most recent model tells you could be fabricated. The "smarter" models are actually getting worse at telling the truth. Here's why it can't be fixed. Language models work by predicting the next word based on probability. When they hit something uncertain, they don't pause. They don't flag it. They guess. And they guess with complete confidence, because that's exactly what they were trained to do. The researchers looked at the 10 biggest AI benchmarks used to measure how good these models are. 9 out of 10 give the same score for saying "I don't know" as for giving a completely wrong answer: zero points. The entire testing system literally punishes honesty and rewards guessing. So the AI learned the optimal strategy: always guess. Never admit uncertainty. Sound confident even when you're making it up. OpenAI's proposed fix? Have ChatGPT say "I don't know" when it's unsure. Their own math shows this would mean roughly 30% of your questions get no answer. Imagine asking ChatGPT something three times out of ten and getting "I'm not confident enough to respond." Users would leave overnight. So the fix exists, but it would kill the product. This isn't just OpenAI's problem. DeepMind and Tsinghua University independently reached the same conclusion. Three of the world's top AI labs, working separately, all agree: this is permanent. Every time ChatGPT gives you an answer, ask yourself: is this real, or is it just a confident guess?

"The rumors of my death are greatly exaggerated." Am Israel Chai 🇮🇱

I’m on the edge of my seat waiting for foreign operators of Ukraine’s interceptor drone P1SUN to discover what its seemingly purely technical name actually stands for.

I’m genuinely shaken to my core by how the Trump administration is ABSOLUTELY FINE with the fact that, right in the middle of yet another round of “peace talks,” literally while delegations are sitting across from each other discussing “compromise,” Russia is launching devastating missile strikes on heating and electricity in Ukrainian cities, leaving millions of people in a humanitarian catastrophe in the middle of a freezing winter. And there isn’t the slightest objection, condemnation, or demand to stop. Nothing. Nobody appears bothered by these mass war crimes unfolding live. Nothing, except regular Trump outbreaks in claiming that “Zelensky doesn’t want peace.” And it’s easy to see why: they think that every Ukrainian apartment block demolished by a Russian missile in the middle of the night, along with the people inside it, helps them “pressure Zelensky into a deal.” It’s astonishing. Down to the darkest depths of moral collapse. I genuinely can't wrap my head around how things could end up this way in this regard.