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  • Florida Tech\’s Jacob Pino Captures Sunshine State Conference Pitcher of the Week

    Florida Tech\’s Jacob Pino Captures Sunshine State Conference Pitcher of the Week

    Pino transferred from NAIA Thomas University

    Florida Tech Goes to Town on Ranked Opponent!

    In a match that left everyone on the edge of their seats, the Florida Tech Bulldogs powered past a nationally ranked conference foe, securing a 2‑0 shutout that had fans cheering and opponents scratching their heads.

    Key Playmakers

    • Cole Patrick: The superstar guy pulled off a 3‑for‑4 hit spree, racking up a single RBI that kept the engine running.
    • Jacob Pino: Dominating the mound, Pino held his opponent to a mere 2 hits over 7 innings, recording 4 strikeouts along the way.

    Game Highlights

    With a shoo-in batting lineup and a pitcher on fire, the Bulldogs didn’t let a single run slip past. The defense stayed tight, and the offense found its rhythm—resulting in a shutout that feels almost too good to be true.

    Why It Matters

    Florida Tech’s victory not only boosts the team’s rankings but also sends a message: when the sun hits the field, they’re ready to light up the scoreboard.

    Fan Reactions

    From tweets bursting with enthusiasm to cheers in the dugout, the victory has fans talking about how this win could shape the rest of the season.

    Florida Tech\’s Jacob Pino Captures Sunshine State Conference Pitcher of the Week

    Jacob Pino Sees the Spotlight as SSC Pitcher of the Week

    Melbourne, FL – Jacob Pino, the fresh‑in‑the‑league junior of Florida Tech, earned the Sunshine State Conference (SSC) Pitcher of the Week title after a masterclass performance that helped his Panthers knock out the No. 4 ranked Florida Southern Moccasins.

    Game Highlights

    • Seven perfect innings for a shutout 2‑0 win.
    • Only two singles allowed and zero runs scored.
    • Logged four strikeouts while walking 23 batters – a textbook mix of dominance and patience.
    • Improved his record to an unbeatable 2‑0 this season.
    • Secured the first loss of the year for Florida Southern’s starter.

    Why This Matters

    After moving to the Panthers from NAIA sender Thomas University, Pino’s win is not just a box‑score highlight—it’s a career milestone. It’s the first time a Florida Tech pitcher has earned the SSC “Pitcher of the Week” in over two years, breaking a dry spell that started in 2023.

    Fan Cheers & Twitter Buzz

    “Congratulations to junior Jacob Pino on earning NCBWA Region Pitcher of the Week honors!” a tweet from @FloridaTechBB read, accompanied by a blazing photo of the sparks of victory. Fans are rallying behind him with chant hashtags: #GoPanthers | #TechBuilt.

    Next on The Schedule

    The Panthers will hit the road for a three‑game series against Nova Southeastern:

    • Friday, Feb. 28 – 6 p.m., double‑header kickoff.
    • Saturday, Mar. 1 – 1 p.m. and 4 p.m. games.

    With Pino’s arms still warm and the team buzzing, the Panthers look set to keep the momentum rolling. Keep your eyes on the field – it could be a tipping point season from here on out!

  • Thinking Machines Lab wants to make AI models more consistent

    Thinking Machines Lab wants to make AI models more consistent

    There’s been great interest in what Mira Murati’s Thinking Machines Lab is building with its $2 billion in seed funding and the all-star team of former OpenAI researchers who have joined the lab. In a blog post published on Wednesday, Murati’s research lab gave the world its first look into one of its projects: creating AI models with reproducible responses.

    The research blog post, titled “Defeating Nondeterminism in LLM Inference,” tries to unpack the root cause of what introduces randomness in AI model responses. For example, ask ChatGPT the same question a few times over, and you’re likely to get a wide range of answers. This has largely been accepted in the AI community as a fact — today’s AI models are considered to be non-deterministic systems— but Thinking Machines Lab sees this as a solvable problem.

    Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference”We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to… pic.twitter.com/jMFL3xt67C— Thinking Machines (@thinkymachines) September 10, 2025

    The post, authored by Thinking Machines Lab researcher Horace He, argues that the root cause of AI models’ randomness is the way GPU kernels — the small programs that run inside of Nvidia’s computer chips — are stitched together in inference processing (everything that happens after you press enter in ChatGPT). He suggests that by carefully controlling this layer of orchestration, it’s possible to make AI models more deterministic.

    Beyond creating more reliable responses for enterprises and scientists, He notes that getting AI models to generate reproducible responses could also improve reinforcement learning (RL) training. RL is the process of rewarding AI models for correct answers, but if the answers are all slightly different, then the data gets a bit noisy. Creating more consistent AI model responses could make the whole RL process “smoother,” according to He. Thinking Machines Lab has told investors that it plans to use RL to customize AI models for businesses, The Information previously reported.

    Murati, OpenAI’s former chief technology officer, said in July that Thinking Machines Lab’s first product will be unveiled in the coming months, and that it will be “useful for researchers and startups developing custom models.” It’s still unclear what that product is, or whether it will use techniques from this research to generate more reproducible responses.

    Thinking Machines Lab has also said that it plans to frequently publish blog posts, code, and other information about its research in an effort to “benefit the public, but also improve our own research culture.” This post, the first in the company’s new blog series called “Connectionism,” seems to be part of that effort. OpenAI also made a commitment to open research when it was founded, but the company has become more closed off as it’s become larger. We’ll see if Murati’s research lab stays true to this claim.

    The research blog offers a rare glimpse inside one of Silicon Valley’s most secretive AI startups. While it doesn’t exactly reveal where the technology is going, it indicates that Thinking Machines Lab is tackling some of the largest question on the frontier of AI research. The real test is whether Thinking Machines Lab can solve these problems, and make products around its research to justify its $12 billion valuation.

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    Join 10k+ tech and VC leaders for growth and connections at Disrupt 2025

    Netflix, Box, a16z, ElevenLabs, Wayve, Sequoia Capital, Elad Gil — just some of the 250+ heavy hitters leading 200+ sessions designed to deliver the insights that fuel startup growth and sharpen your edge. Don’t miss the 20th anniversary of TechCrunch, and a chance to learn from the top voices in tech. Grab your ticket before Sept 26 to save up to $668.

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