Franciszek Georgiew

AMD Senior AI Director confirms Claude has been nerfed. She analyzed Claude's session logs from Janurary to March: > median thinking dropped from ~2,200 to ~600 chars > API requests went up 80x from Feb to Mar. less thinking and failed attempts meaning more retries, burning more tokens, and spending more on tokens > reads-per-edit dropped from 6.6x → 2.0x. model stops researching code before touching it. > model tried to bail out or ask "should i continue" 173 times in 17 days (0 times before March 8). > self-contradiction in reasoning ("oh wait, actually...") tripled. > conventions like CLAUDE.md get ignored because there's less thinking budget to cross-check edits > 5pm and 7pm PST are the worst hours, late night is significantly better. this means the thinking allocation is most likely GPU-load-sensitive.

We are engaging with countries in the Middle East and the Gulf, which now show a strong interest in Ukraine’s experience in defending against drones. We already see that not only “shaheds” are being used in the region, but there is also growing evidence of the use of FPV drones. This is modern warfare, and everyone must be prepared for it. Ukraine has this expertise, and in exchange for our support we need help in areas where we face greater challenges. This includes protection against ballistic threats and financial resources for defense. Ukraine offers a mutually beneficial partnership: we can strengthen those who can strengthen us. The situation in the world now is such that only coordinated and joint actions can guarantee real results and genuine security. We are being blocked in Europe, and as long as this risk remains, we must seek out additional opportunities to strengthen ourselves. The Middle East and the Gulf are the right direction and serious opportunities to make Ukraine stronger.

I can't believe human were gifted a planet with full of trees, fruit, water, animals and sunshine and then they invented debt, capitalism and war

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable

Właśnie o to chodzi. Ja również nie jestem programistą, a w ciągu dosłownie 2 godzin potrafiłem stworzyć pierwsze wieloagentowe struktury, analizujące wiele zadań na raz i tworzące spójną analityczną wiedzę na koniec tego procesu. Dosłownie w 5 do 10 minut, w zależności od zadania, to praca, którą normalnie wykonywałoby kilku analityków przez co najmniej 1-2 dni.

New in Cowork: scheduled tasks. Claude can now complete recurring tasks at specific times automatically: a morning brief, weekly spreadsheet updates, Friday team presentations.