Randy Rayess

🔥BREAKING: The secret to living to 100+? HIGH CHOLESTEROL! A massive Swedish study tracking over 800,000 people for 35 years just revealed: Every single centenarian had HIGH total cholesterol. The higher your LDL, the longer you live. Mind blown yet? Dr. Ben Bikman exposes the lies about cholesterol being "bad." Key findings from the Sweden AMORIS study: - All centenarians: High total cholesterol, high iron, low glucose. - Highest LDL-C = longest lifespans (backed by Dr. Uffe Ravnskov & Dr. Malcolm Kendrick). Dangers of low cholesterol: - LDL <70 mg/dL → 3X higher risk of brain-bleeding strokes. - Total <180 mg/dL → Skyrocketing cancer & dementia rates. - <150 mg/dL → Increased chronic diseases like cancer & autoimmunity. - Statins? They don't extend life—damage mitochondria & hormones instead. Why your body CRAVES cholesterol: - Builds every cell & powerhouse mitochondria. - Absorbs vital vitamins A, D, E, K. - Powers digestion via bile acids. - Supercharges immunity against infections, viruses, bacteria, pathogens—even cancer. - Fights depression, suicide, dementia & cognitive decline. - Shields from toxins, heavy metals, strokes, heart disease & osteoporosis. - Fuels ALL steroid hormones (low chol = low testosterone & libido). - Lowers all-cause mortality risk. Pro tip: Go low-carb, load up on nutrient-dense animal foods. Grass fed beef, pastured eggs, wild caught seafood...Dump seed oils, sugar & processed garbage. Target TG/HDL ratio <1.5 for elite heart health. Tight budget like me?? Seek out a local farmer, butcher & farm market & make a 'bulk large sale deal' for beef at $5/lb & eggs $4/Dz Are you ditching your statin yet? Tell me in the comments, I read every reply & do my best to respond to every question! If I miss your question...PLEASE DM direct message me! I truly care about you & your health!👇🔥

Moravec's paradox in LLM evals I was reacting to this new benchmark of frontier math where LLMs only solve 2%. It was introduced because LLMs are increasingly crushing existing math benchmarks. The interesting issue is that even though by many accounts (/evals), LLMs are inching well into top expert territory (e.g. in math and coding etc.), you wouldn't hire them over a person for the most menial jobs. They can solve complex closed problems if you serve them the problem description neatly on a platter in the prompt, but they struggle to coherently string together long, autonomous, problem-solving sequences in a way that a person would find very easy. This is Moravec's paradox in disguise, who observed 30+ years ago that what is easy/hard for humans can be non-intuitively very different to what is easy/hard for computers. E.g. humans are very impressed by computers playing chess, but chess is easy for computers as it is a closed, deterministic system with a discrete action space, full observability, etc etc. Vice versa, humans can tie a shoe or fold a shirt and don't think much of it at all but this is an extremely complex sensorimotor task that challenges the state of the art in both hardware and software. It's like that Rubik's Cube release from OpenAI a while back where most people fixated on the solving itself (which is trivial) instead of the actually incredibly difficult task of just turning one face of the cube with a robot hand. So I really like this FrontierMath benchmark and we should make more. But I also think it's an interesting challenge how we can create evals for all the "easy" stuff that is secretly hard. Very long context windows, coherence, autonomy, common sense, multimodal I/O that works, ... How do we build good "menial job" evals? The kinds of things you'd expect from any entry-level intern on your team.

In 2006, I was 1 of 4 designers on Google Search. For 20 years, every search engine has copied Google. Now ChatGPT, Bard + Claude look like Google's offspring - "better” search engines. But last week signaled we're on the brink of a design revolution. ChatGPT unveiled incredible new features. These could give us the opportunity to completely shift how we interface with AI. Here's the full story: ––– When I was a designer on Google Search, all major search engines looked the same – Google, Yahoo, MSN Bing. Google was the market leader with a heavily optimized UI that supported billions of dollars in ad revenue. Naturally, it became THE way to show search results. Its success made it illogical for Google to consider big UI changes. And any changes they did make were just mirrored by everyone else. So 20 years later, we’ve only seen incremental changes to search engine UIs. ––– Today, we have consumer-ready LLMs (Large Language Models) freshly in our hands. As consumer products, these are in their infancy. We’re very early in understanding their capabilities and defining how people interact with them. These are uncharted waters. And yet ChatGPT, Bard, Claude etc. all chose a text-based input box — just like Google’s search box — as the core interface. Why? The input box is simple, versatile, and familiar. - It’s simple to understand → you type your questions into the box. - It’s versatile → the box can handle all sorts of questions/queries. - The paradigm is super familiar → people immediately know how to use it. Because of this, LLMs have essentially become “a better Google.” ––– But last week’s ChatGPT announcements thrust open the doors to new possibilities. ChatGPT is now multi-modal — it can see, hear, and speak. These are the recent announcements from @OpenAI : Voice: x.com/openai/status/… Photos: x.com/openai/status/… The example of ChatGPT explaining how to lower a bike seat was incredible. But, it could be so much better! The video showed you'll have to post multiple new photos to keep adding new information and to progress the conversation. It was still a linear conversation centered around the text box. But what if we rethought the interface to center around the image? What if ChatGPT supported both images AND voice simultaneously? Could we end up with a more immersive experience? ––– How else could interacting with LLMs mimic IRL conversations? Could we (or the AI) pinch to zoom or rotate the image? Could we interact in real time with video? What new possibilities open up with context being preserved over time? ––– There is so much energy and excitement around what AI can do. But we are limiting the potential by assuming the conversation box is the best interface. Right now, designers have the chance to create truly novel interactions and bust through the 20+ year old search UI paradigm. The ideas above are just to illustrate some potential options. But they are also intended to spark a flame. Now is the opportunity to be creative and explore divergent UIs. What are the craziest, coolest, most creative UI ideas we can unleash? LFG 🚀

Really enjoyed our conversation @HarryStebbings about content marketing, customer acquisition, @OutgrowCo on the @saastr podcast! bit.ly/tospwhs

@RandyRayess great podcast today with @ericosiu and @neilpatel will definitely be checking out @OutgrowCo

New post from @salesflare!!! Interview with @Outgrowco's co-founder, @RandyRayess #growth #growthteam #saas growthhackers.com/articles/inter…

This device will make your life much easier at the airport twitter.com/mashable/statu…

This machine will make you sushi.

This device magnifies your phone to a mini TV size.

Fascinating infographic: Top grossing media franchises of all time. Pokémon, Hello Kitty, Mickey Mouse, Star Wars, etc Observations: - most of the money has been made in merchandise and video games - so many Japanese brands! 5 out of the top 10 - many created in the past decade

This surgery is re-inventing the way we thing of prosthetics.

This artist 'paints' using the sun 😱 twitter.com/mashable/statu…

These robots were designed to work with cleaning teams via getsomatic.com

This camera always stays steady.

These batteries are rechargeable by USB.

Rocket fairing falls from space & is caught by Ms Tree boat

This chair helps people that have fallen.

Luxury brands are taking over the street art scene bloom.bg/2JU4oPc

Your cycling actually powers this gym