MICROSOFT TO OFFER BUYOUTS TO 60,000 WORKERS IN LATEST COST CUT

So Pronto was about collecting Indian data for sale to US and Western frontier labs. Provision Labs—its newly launched SF venture aims to sell real-world human behavioural footage to train physical AI & robotics :) entrackr.com/news/pronto-fou…

Seven ASR models. One RTX 5090. We didn’t pick the one with the lowest error rate.

Never marched with freedom fighters against the British. Never marched with workers for more wages. Never marched with farmers for land rights. Never marched with women for their safety and empowerment. Never marched with students to condemn paper leak. But they keep marching...

Kurzgesagt has 25M subs. Millions of views on EVERY single video 🤯 nobody copies them for a reason: one video takes 1,200 hours and a studio of 50+ animators. we rebuilt their format with Opus 5.5 + @HyperFrames_ Studio. 100% code. a full 11-minute explainer. made in ~2 hours. under $50. want the template? we’re open-sourcing it for free 👇

p still probably doesn't equal np

BREAKING: Microsoft, $MSFT, is offering buyouts to 60,000 workers as part of the company’s efforts to cut costs amid AI adoption, per Bloomberg. Personnel on select teams in the US, Canada, India, and the UK at a vice president level and below will be eligible. This reflects ~27% of Microsoft's total workforce.

EXCLUSIVE: India’s biggest news publishers including Ambani's Network18, Adani's NDTV, Indian Express, Times Internet & others mount the most high-profile challenge yet to Modi’s privacy law, warning it would “render investigative journalism a benign and neutered recorder of events.” DNPA (@publishers_news) has taken the law to the Supreme Court. They argue it would trample investigative work and let New Delhi identify journalists’ sources. The provisions “constitute pre-censorship which is anathema to any democracy worth its name,” the group’s 698-page filing says. The key concerns: 🔹 Consent: requiring a journalist to notify the subject of an investigation and seek consent “would allow that subject to destroy evidence, intimidate witnesses” 🔹 Erasure: people can withdraw consent and demand their data be erased, which the group says could force publishers to unpublish or heavily redact news reports 🔹 Sources: a “nakedly unguided” power to demand information that “can extend to privileged communications in possession of a reporter or the informant” In a letter to the government, the group said India “has chosen to grant broad exemptions to the state, while failing to extend any corresponding protection to the press.” reuters.com/business/media-t…

X ALGORITHM UPDATE 🚨 X just stopped cutting new posts first, and that should help small accounts (I check it daily with Claude and share updates worth sharing with you) tl;dr: - X can only check 2,800 posts each time you open your feed - new posts used to be last in line, so they got cut first - now everything gets cut equally, new posts included - posts labeled low quality or misinfo now show a warning, and people can't like, reply or share them - no score changes this time lesson learned: your new posts now get a fair chance to be seen. Your first 2 hours still matter most. full details: - How it worked until this week Every time someone opens For You, X collects around 3,700 posts it could show them: posts from people they follow, popular posts, posts liked by similar people, and brand new posts. But X only has time to check 2,800 of them. So it just took the first 2,800 in line. Brand new posts were at the back of the line. When there were too many, they were the ones left out... and a post that never gets checked can't be shown. - What changed Now everything gets cut by the same amount. 25% too many? Every type of post loses 25%, new posts included. Nobody goes first. - Why small accounts should care Those brand new posts are under 2 hours old, with under 8 likes and under 500 views. That's where most posts from smaller accounts are. My read: they now get a fair chance instead of being cut first. How often X actually hits the 2,800 limit isn't in the code, so I can't tell you how big the difference is. - Low quality and misinfo posts now show a warning If X labels your post as low quality or misinformation, people who don't follow you see a warning on it, and they can't like, reply, repost, bookmark or share it. The code doesn't say what gets a post that label. Here's a recap of what you should be doing: - a new post gets its extra push only in its first 2 hours and first 200 views, so post when your people are online - likes carry more weight than ever at 0.66 each - people sticking around pays, the time-spent score is 50% higher than two weeks ago - a read of 10+ seconds after someone opens your post adds 0.4 - the boost favors the post with the best like rate from its first viewers - accounts up to 50K can get one fresh original lifted to roughly 16th - nothing beats a copy link share, it scores 20 - replies, quotes and DM shares each score 5 - talk with your mutuals, replies between you score 20 instead of 5 - originals are the only posts that travel outside your follower base - the 1st and the 32nd like each open a new route to strangers - your 2nd post in the same feed is worth 62% of the first, so pick your best one - videos still need 10+ seconds to qualify for the video lists - earning a follow adds 4 - a pinned post with a bad link can flag the account for 7 days, worth a quick check What you should NOT be doing: - posts that get labeled low quality or misinfo now carry a warning, and nobody outside your followers can like or share them - video alone won't carry you, an open counts 0.02 and the watch 0 - hide-worthy posts cost more, "not interested" sits at -52.27 - a post at 3am burns its 2 hour window before anyone sees it - a tap that turns into a bounce is worth only 0.3 - replies and reposts don't get past your followers - insults get your post hidden from anyone who doesn't follow you - adult media in 3 of your last 5 posts puts a label on your account - disguised content in videos gets checked from 64 likes, harder at 512 - self-reply chains under big accounts risk being zeroed - one account label and non-followers stop seeing you entirely - low-rated links don't belong in your pinned post - recycled wording can get tagged as copypasta spam - strangers tagged plus a low quality link is a pattern X flags - engagement bait has no size exemption - several posts in a row end up competing with each other - hashtag stacks add nothing - bookmarks are still worth 0 - 48 hours in, For You is finished with a post

imagine getting penalised for building rail roads & most critical infrastructure for your country's prosperity tech companies in the usa have reason why they're so successful & they know where to invest

I did my own benchmark for Polish last week. Translation definitely isn't solved. In my test, about 1 in 4 strings still needed a human translator. Intento's latest benchmark points the same way: only 18% of model and language combos met their quality bar from a single translation pass. What I keep telling people: anything high-visibility should always go through translators and reviewers.

One of the Serbian student organisers, last year:

My general advice for using AI for any purpose is to ask yourself: "how do I make what I am doing even more ambitious?" You do this until you either hit a wall and then you know the shape of the frontier (useful!) or you find out that the AI can do more than you think (common!)

Serbian students overthrowing Vučić is an extraordinary achievement. In 2024, they began protesting. In 2025, they transformed a protest movement into civil dissidence. In 2026, they became a political party — and 2 months later, crushed a corrupt state-entrenched authoritarian.

Purdue University's IDEAS Lab built an autonomous drone that tracks runners through dense forests completely without GPS or cloud networks. By running 3D LiDAR mapping and obstacle-avoidance AI entirely on-chip, it can weave under tree canopies and predict target movement through blind spots in real time. Massive implications for next-gen search & rescue and edge AI.

if you have a qwen3.5 4b around, please try steering neurons L14 N8949 +1 and L13 N7956 -1 now you have evil qwen recipe: dose × median(‖resid‖ leaving layer L, tokens 1:) / ‖W_down[:, n]‖` at the down_proj at every input