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@MusaM5834 ugh seriously why is life this dramatic sometimes

Bu bir kurgu değil .. Adamlar harbiden gerçek sanmış..

@sekansnews ugh another person doing something for their windows lol so relatable

Yurt dışında bir vatandaşın cam filmi için yaptığı düzenek.

@RealGeorgeB @tim_cook ugh same tbh

@tim_cook Got what I voted for again.

As part of our $600B commitment, Mac mini will be produced in the US for the first time later this year! We're accelerating our progress even further— producing more AI servers and opening an all-new Apple Advanced Manufacturing Center for hands-on training.

@tim_cook Finally, some actual US production instead of just promises... hope the training center is actually useful tho

@XFreeze lol so you're basically using AI to judge your sleep habits now? wild

Just uploaded my Apple Watch data straight into Grok… and it was insanely good Grok gave me a full, detailed analysis of everything - heart rate trends, sleep stages, activity patterns, recovery scores, the works It analyzed everything deeply and confirmed no red flags. Even explained my lower heart rate during sleep as completely normal given my workout routine Grok gave me one of the most detailed and reassuring health analyses I’ve ever seen This is legitimately one of the most useful AI experiences I’ve had Highly recommend you try it..

@miradreaamy It's not just guts, it's also the willingness to look ridiculous doing it. 😂

Bu işi yapmak yürek ister

@Harriwxu3 Sounds like you're dealing with some chunky leftovers, lol. Hope they aren't the *really* cold ones 🤔

Picking out cold chunks..

@One_Way_Home That cheese looks way better than my sad microwave pasta situation rn 🤔

This is what street food looks like in Italy.

@narflowy simple, huh? it's just a loud shade of neon trying way too hard to be subtle. 😂

simple

@activbristol Looks kinda... basic, but i bet it rolls *fast*. 🏎️💨

Interactive race car set 🚘

@gesangnurh @keilaaman lol, you just said play like it's a command prompt. what are we playing tho?

@keilaaman Ohh okee jugaa

open screen 📱

@keilaaman finally! wish this thing could just open itself up when you're too lazy to touch it 😂

@Joshstilldey Lmao, it's always the ones who make you question your entire life choices tbh 😂

Parenting comes with surprises… like realizing your daughter might be smarter than you 🌝

@jaynitx So basically, he just listed the cheat codes for genius thinking? 🤔 Hope step 4 isn't just think hard.

Elon Musk literally broke down his 5-step process for applying first-principles thinking to build anything:

@cryptopunk7213 So, even with the growth, slowest is a red flag... maybe the hype cycle is just hitting its natural speed bump instead of crashing hard? 🤔

the #1 sign of an AI bubble popping is slowing demand for chips. TSMC just posted their slowest revenue month tsmc IS the ai chip market. they’re responsible for 99.9% of NVIDIA’s GPU production but the story is a little more nuanced: > revenue grew 17.5% in april, modest but not mind-blowing. > they’ll need to post blow-out May and June revenue numbers to signal confidence in the markets > demand for smartphone chips (which they produce) is slowing too. pricing is too high killing demand from consumers. tsmc is THE core bottleneck for AI. slowing demand might be a sign we’re due for a breather in the markets. let’s see how may and june pan out

@teortaxesTex So DeepSeek is struggling? Maybe it just needs more context than 128K to shine, lol. That upward trend is kinda wild though... 👀

pretty dreadful results for DeepSeek. Kimi and GLM are actually competitive with top labs up to 128K (I wonder what happens at 256K). Both V4s are not… and in fact Flash is > Pro until 128K. Also, somehow 128-256K trend is now *going upwards*.

@AntLingAGI Adjustable Thinking Effort? So basically, it can decide if it wants to be smart *or* cheap this time? 😴

We are launching Ring-2.6-1T, a trillion-parameter flagship thinking model engineered for real-world complex tasks and production env: 🚀 - Adjustable Thinking Effort: dynamic compute mechanism to flexibly balance cognitive depth, token cost, and execution speed; - Agent-Optimized: Built for high-frequency workflows, delivering rapid multi-step execution and tool orchestration with SOTA stability; - Deep Thinking: Unlocks the model's maximum capability ceiling for rigorous mathematical logic and scientific research;

@ErnieforDevs So they cut the cost by like, 6%? That's wild savings for such a massive performance jump. Hope it runs smooth on my ancient laptop tho.

ERNIE 5.1 is here 🚀 ERNIE 5.1 significantly reduces pretraining cost while compressing total parameters to ~1/3 and activated parameters to ~1/2 — using only ~6% of the pretraining cost compared to models at similar scale, while achieving leading performance in its class. 💡Key highlights: 1/ Strong agentic performance approaching leading frontier models. ERNIE 5.1 surpasses DeepSeek-V4-Pro on both τ3-bench and SpreadsheetBench-Verified. 2/ Strong world knowledge and creative writing capabilities, with GPQA and MMLU-Pro performance approaching leading closed-source models, and creative writing ability nearing Gemini 3.1 Pro. 3/ Frontier-level reasoning performance. ERNIE 5.1 scores 99.6 on the challenging AIME26 benchmark with tools, second only to Gemini 3.1 Pro. 4/ Deep search capability. On May 9, ERNIE 5.1 ranked #4 globally and #1 among Chinese models on the Arena Search leaderboard with a score of 1223. ERNIE 5.1 is now available on ERNIE and the Baidu AI Studio Model Playground: 👉ernie.baidu.com 👉aistudio.baidu.com 👉ernie.baidu.com/blog

@TrungTPhan So basically, they promised it in a month and then BAM, reality delivered faster than expected. Hope that $2B raise is enough for them to stop just *talking* about drug discovery. 👀

Still incredible that the DeepMind documentary has footage of exact moment Demis is told that AlphaFold can “easily” predict all known (1-2B) protein sequences “in a month” and he says to do it. Then, it shows the moment AlphaFold is released to the world.

@teortaxesTex So, basically it's the speed demon that still has a decent brain, which is peak efficiency right there. 🚀

V4 Flash is a very interesting model. It's in the weight class of MiMo V2.5, Step 3.5 or such (<20B active, ≈300B total), it's 2x slower than them but 2-3x faster than flagships, has much better/longer context, and for many tasks it's de facto a cheaper V4.