Luigi Bruno

@josemorgado Given last year’s results Jannik has a good chance to stay on top until november, ofc barring major issues, then he will have lots of points to defend.

Alcaraz missing Madrid means that Jannik Sinner will almost surely be the top seed at Roland Garros and very likely be the world #1 (at least) till the end of Wimbledon.

@Djoko_UTD That would be a different sport. In a five sets match the ability to manage energies and focus are key. By adding a long break everything changes. Not saying it would be worse, just a very different sport.

🚨 Idea : What if we have Half time show during Grand slam finals, in between sets ?? Imagine Half time show after 2nd set, I think it'll be cool. Thoughts ???

@kapilansh_twt winning what exactly? consumer? small businees or big enterprise? agents? robots? all sort of niches? For me this is too complex for just one company to "win", i expect 2-3 strong competitors in each one of these areas, and not necessarily the same ones.

who is actually winning the AI race OpenAI — $25B revenue but still not profitable Anthropic — best model, just scared every government on earth Google — most resources, losing to everyone on vibes Meta — spending $130B and still playing catchup xAI — Elon promised to match everyone by 2026 be honest who wins

@zuess05 Most of those questions have always been useless at determining a SWE's capability. So, nothing changes there.

Serious question. If every single developer is currently using Claude to write, debug, and ship 90% of their production code... What are companies actually asking in tech interviews right now?

@Djoko_UTD Maybe a little more than that, because he would deduct the expenses (including payments to the team) from the income before applying the tax. But at 50% taxation it would still end up close to 2M.

🚨 Did you know : Tennis Players don't even get half their prize money 💰🎾 For People interested in Tennis Finance, Here's an example, Carlos last year won the US Open and got a $5 Million pay check, but then his net pay is not even $2 Million. Here's a break up of how $5 Million dollars becomes less than $2 Million dollars. He has to pay tax to the US government : • Federal tax up to ~37% • New York state + city tax ~10–13% 👉 Total tax: ~45–50% He's also a resident of Spain and he has to pay 46% tax there but due to financial treaties, he won't be taxxed twice, He will be charged only once and wherever it's higher. So a $5M prize money can drop to nearly $2.5M or less, And that’s before agent fees & team expenses… Agents, Managers and team combined usually get ~15-20% of earning. So in the end, Carlos who got a $5 Million dollar check will get less that $2 Million in his account.

@NoahKingJr Engineers at the end are people that solve problems with the tools that are available at the moment. My plan is that as long as there are problems in the world we should be fine, and when there aren’t anymore.. well, we will be even better.

Software Engineers, what’s your backup plan if Artificial Intelligence writes better code than you in 2 years?

@skumWgmi When it happened to me (600 dollars overall in two consecutive years), I found a better and cheaper place and moved. I guess an option is also to provide comparables that prove your point and see if the landlord lowers the request - I have at least a friend who did that.

My landlord raised my rent $340. I asked why. "Market rate adjustment." I googled my landlord. He owns 34 properties. Manages them through 3 LLCs. Lives in a $1.3 million house. Has never fixed my heating properly. My rent increase is his mortgage payment on preperty number 35. I am not a tenant. I am a revenue stream who gets to sleep here.

@LucasSa56947288 Well, depends.. who is in the other side?

Would you support a Newson/Buttigieg 2028 ticket? (A: Yes (B: No

@UziCryptoo Arbitrage is fine, but you need to conpare after-tax money instead of pre-tax.

CALLER: I opened a High Yield Savings Account. My $20,000 emergency fund earns 4.5% interest. That’s $900 a year doing nothing. DAVE RAMSEY: Get rid of it. Put that $20,000 toward your mortgage! CALLER: But I’m earning $900 a year for free. DAVE RAMSEY: Debt is the enemy! Pay off the house! CALLER: My mortgage rate is 3%. I’m earning 4.5%. DAVE RAMSEY: That’s not how you get rich! In reality, if your savings rate beats your debt rate, keep the cash. That’s called arbitrage. Every dollar matters.

A few random notes from claude coding quite a bit last few weeks. Coding workflow. Given the latest lift in LLM coding capability, like many others I rapidly went from about 80% manual+autocomplete coding and 20% agents in November to 80% agent coding and 20% edits+touchups in December. i.e. I really am mostly programming in English now, a bit sheepishly telling the LLM what code to write... in words. It hurts the ego a bit but the power to operate over software in large "code actions" is just too net useful, especially once you adapt to it, configure it, learn to use it, and wrap your head around what it can and cannot do. This is easily the biggest change to my basic coding workflow in ~2 decades of programming and it happened over the course of a few weeks. I'd expect something similar to be happening to well into double digit percent of engineers out there, while the awareness of it in the general population feels well into low single digit percent. IDEs/agent swarms/fallability. Both the "no need for IDE anymore" hype and the "agent swarm" hype is imo too much for right now. The models definitely still make mistakes and if you have any code you actually care about I would watch them like a hawk, in a nice large IDE on the side. The mistakes have changed a lot - they are not simple syntax errors anymore, they are subtle conceptual errors that a slightly sloppy, hasty junior dev might do. The most common category is that the models make wrong assumptions on your behalf and just run along with them without checking. They also don't manage their confusion, they don't seek clarifications, they don't surface inconsistencies, they don't present tradeoffs, they don't push back when they should, and they are still a little too sycophantic. Things get better in plan mode, but there is some need for a lightweight inline plan mode. They also really like to overcomplicate code and APIs, they bloat abstractions, they don't clean up dead code after themselves, etc. They will implement an inefficient, bloated, brittle construction over 1000 lines of code and it's up to you to be like "umm couldn't you just do this instead?" and they will be like "of course!" and immediately cut it down to 100 lines. They still sometimes change/remove comments and code they don't like or don't sufficiently understand as side effects, even if it is orthogonal to the task at hand. All of this happens despite a few simple attempts to fix it via instructions in CLAUDE . md. Despite all these issues, it is still a net huge improvement and it's very difficult to imagine going back to manual coding. TLDR everyone has their developing flow, my current is a small few CC sessions on the left in ghostty windows/tabs and an IDE on the right for viewing the code + manual edits. Tenacity. It's so interesting to watch an agent relentlessly work at something. They never get tired, they never get demoralized, they just keep going and trying things where a person would have given up long ago to fight another day. It's a "feel the AGI" moment to watch it struggle with something for a long time just to come out victorious 30 minutes later. You realize that stamina is a core bottleneck to work and that with LLMs in hand it has been dramatically increased. Speedups. It's not clear how to measure the "speedup" of LLM assistance. Certainly I feel net way faster at what I was going to do, but the main effect is that I do a lot more than I was going to do because 1) I can code up all kinds of things that just wouldn't have been worth coding before and 2) I can approach code that I couldn't work on before because of knowledge/skill issue. So certainly it's speedup, but it's possibly a lot more an expansion. Leverage. LLMs are exceptionally good at looping until they meet specific goals and this is where most of the "feel the AGI" magic is to be found. Don't tell it what to do, give it success criteria and watch it go. Get it to write tests first and then pass them. Put it in the loop with a browser MCP. Write the naive algorithm that is very likely correct first, then ask it to optimize it while preserving correctness. Change your approach from imperative to declarative to get the agents looping longer and gain leverage. Fun. I didn't anticipate that with agents programming feels *more* fun because a lot of the fill in the blanks drudgery is removed and what remains is the creative part. I also feel less blocked/stuck (which is not fun) and I experience a lot more courage because there's almost always a way to work hand in hand with it to make some positive progress. I have seen the opposite sentiment from other people too; LLM coding will split up engineers based on those who primarily liked coding and those who primarily liked building. Atrophy. I've already noticed that I am slowly starting to atrophy my ability to write code manually. Generation (writing code) and discrimination (reading code) are different capabilities in the brain. Largely due to all the little mostly syntactic details involved in programming, you can review code just fine even if you struggle to write it. Slopacolypse. I am bracing for 2026 as the year of the slopacolypse across all of github, substack, arxiv, X/instagram, and generally all digital media. We're also going to see a lot more AI hype productivity theater (is that even possible?), on the side of actual, real improvements. Questions. A few of the questions on my mind: - What happens to the "10X engineer" - the ratio of productivity between the mean and the max engineer? It's quite possible that this grows *a lot*. - Armed with LLMs, do generalists increasingly outperform specialists? LLMs are a lot better at fill in the blanks (the micro) than grand strategy (the macro). - What does LLM coding feel like in the future? Is it like playing StarCraft? Playing Factorio? Playing music? - How much of society is bottlenecked by digital knowledge work? TLDR Where does this leave us? LLM agent capabilities (Claude & Codex especially) have crossed some kind of threshold of coherence around December 2025 and caused a phase shift in software engineering and closely related. The intelligence part suddenly feels quite a bit ahead of all the rest of it - integrations (tools, knowledge), the necessity for new organizational workflows, processes, diffusion more generally. 2026 is going to be a high energy year as the industry metabolizes the new capability.

I'm excited to see us partner with Apple to bring Gemini models to Apple users, powering Apple Intelligence features!

At the @NRFBigShow today, @Walmart and @Wing shared the expansion of their delivery service to 150 more stores. Houston delivery starting Jan 15 and when the expansion’s complete will reach 40M people. Going to be a big year for Wing!

i miss the version of my brain that understood this

Exciting expansion! @Waymo now serves the whole SF Bay Area Peninsula from SF to San Jose and is taking riders on freeways. waymo.com/blog/2025/11/t…

Build, ship, repeat 🚀Google Search is: → Expanding AI Mode to 180+ new countries & territories in English And in AI Mode in the U.S., we’re: → Rolling out agentic web browsing capabilities → Launching personalized recommendations → Enabling sharing of AI Mode responses

Pretty much